CN105656552A - Energy-saving lighting optimization method and device for indoor visible light communication - Google Patents

Abstract

The embodiment of the invention discloses an energy-saving lighting optimization method and device for indoor visible light communication. The method comprises the steps: firstly, determining all parameters according to equipment hardware and environmental factors; correspondingly using each physical parameter as one element of an initial solution, and acquiring an initial solution set; performing p-optimality assessment on a target parameter corresponding to each initial solution in the initial solution set to obtain p-optimality evaluation values, and performing immune optimization calculation on the initial solution set according to the p-optimality evaluation values to obtain optimization results; and performing p-optimality evaluation on a target parameter corresponding to each solution in the optimization results, and using a solution with the minimum p-optimality evaluation value as the optimal solution to configure a corresponding physical parameter in an indoor visible light communication system. Through adoption of the embodiment of the invention, the physical parameter in the indoor visible light communication system can be reasonably configured to realize optimization of energy-saving lighting.

Description

The optimization method of energy-saving illumination and device in a kind of indoor visible light communication

Technical field

The present invention relates to technical field of visible light communication, particularly to the optimization method of energy-saving illumination in a kind of indoor visible light communication and device.

Background technology

Visible light communication technology has become the study hotspot of the communications field in recent years. Visible light communication technology utilizes the brilliant flash of LED, information is coupling in LED illumination device, realize and illumination and the combination communicated, it it is an emerging wireless communication technology, in visible light communication system, light source not only acts as the effect of illumination, can carry out data transmission simultaneously, compared to traditional technology for radio frequency, it is seen that optical communication technique has energy-saving safe, good confidentiality, do not need frequency spectrum certification, transfer rate advantages of higher.

Under normal circumstances, in indoor visible light communication system, there is multiple configurable physical parameter, including LED emission power, LED array layout, LED radiation angle and receptor FOV (FieldofView). The performance of visible light communication system includes illuminating and two aspects that communicate, and wherein, illumination includes indoor plane illumination E_jIt is U=min (E with illuminance uniformity_j)/average(E_j), i.e. the ratio of the minimal illumination value in receiving plane and average illumination value. Communication includes receptor and Signal to Interference plus Noise Ratio etc. Indoor visible light illumination and the performance communicated can be optimized by reasonably configuring the physical parameter in above-mentioned VISIBLE LIGHT SYSTEM.

At present, also it is in research and advanced development in this field of indoor visible light communication, can't the rational physical parameter in visible light communication system in disposed chamber, it is impossible to the realization optimization to energy-saving illumination.

Summary of the invention

The embodiment of the invention discloses the optimization method of energy-saving illumination in a kind of indoor visible light communication and device, with the physical parameter in visible light communication system in rational disposed chamber, it is achieved the optimization to energy-saving illumination.

In order to achieve the above object, the optimization method of energy-saving illumination in a kind of indoor visible light communication is embodiments provided, including step:

S1: determine the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Described goal-selling parameter includes: maximum illumination is all spent and minimizes transmitting power; Described physical parameter includes: LED emission power, LED array layout, LED radiation angle and receptor FOV;

S2: using corresponding for an each physical parameter element as initial solution, and obtain the initial disaggregation including default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

S3: the target parameter that each initial solution of initial solution concentration is corresponding being carried out p-optimality assessment, obtains the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\Σ}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity;

S4: the p-optimality assessed value according to target parameter corresponding to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

S5: each target parameter solving correspondence concentrated for described optimization solution, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

S6: according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, performs step S7; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, returns step S3;

S7: each target parameter solving correspondence in optimum results is carried out p-optimality assessment, corresponding physical parameter solution minimum for p-optimality assessed value come in disposed chamber in visible light communication system as optimal solution.

Preferably, P (x) described in step S2 obtains in the following way:

Initial solution is concentrated each initial solution compared by fast row's method, and calculates the element in each initial solution and be better than in other initial solutions the probability P (x) of corresponding element.

Concrete, described step S4 includes:

Initial solution initial solution concentrated arranges according to the target parameter p-optimality value ascending order that initial solution is corresponding, takes front second predetermined number initial solution as selecting disaggregation;

The described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning, obtains clone's disaggregation;

In an adaptive way clone is solved each solution concentrated and carry out random disturbance, obtain disturbance disaggregation;

The target parameter solving correspondence that disturbance solution is concentrated arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

Preferably, the target parameter that described each solution that described optimization solution is concentrated is corresponding, calculate each planar illumination value solving correspondence of acquisition and Signal to Interference plus Noise Ratio value is calculated by below equation:

Wherein, planar illumination calculates according to below equation:

E_j=��_kE_kj,

In formula, E_jFor the planar illumination that jth receptor receives, E_kjIt is receive light intensity through k secondary reflection footpath, during k=0,Representing direct projection footpath, I (0) is LED emitter central brightness, and �� is radiation angle, and �� is angle of incidence, and D is the i-th LED emitter distance to jth receptor, during k > 0, Integral sign represents integration on the reflecting surface, D_RefRepresent the distance between light source and reflecting surface, dA_RefIt it is the differential of reflecting surface area;

Signal to Interference plus Noise Ratio calculates according to below equation:

${\mathrm{SINR}}_j=\frac{r^2{P}_{\left(Signal\right)j}^2}{{\mathrm{\&sigma;}}^2+r^2{P}_{\left(ISI\right)j}^2},$

In formula, SINR_jFor the jth receptor Signal to Interference plus Noise Ratio to LED signal, ��²It is noise signal, P_(Signal)jIt is useful signal, $P_{\left(Signal\right)j}=\left({\&Integral;}_0^T{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ P_(ISI)jIt is interference signal, wherein, $P_{\left(ISI\right)j}=\left({\&Integral;}_T^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ h_ijBeing the i-th LED emitter channel impulse response to jth receptor, conv is convolution symbol, and X (t) launches signal, and T receives the signal bit cycle.

Preferably, tend towards stability described in step S6 and judge according to following decision condition:

The p-optimality assessed value solving corresponding target parameter that the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is corresponding with the last optimum results preserved is compared, its p-optimality assesses the absolute value of value difference less than predetermined threshold value, then this optimum results tends towards stability.

In order to achieve the above object, embodiments provide the optimization device of energy-saving illumination in a kind of indoor visible light communication, including

Parameter determines module, for determining the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Described goal-selling parameter includes: maximum illumination is all spent and minimizes transmitting power; Described physical parameter includes: LED emission power, LED array layout, LED radiation angle and receptor FOV;

Initial disaggregation obtains module, is used for corresponding for an each physical parameter element as initial solution, and obtains the initial disaggregation including default first quantity initial solution, wherein, and the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

P-optimality evaluation module, the target parameter corresponding for each initial solution that initial solution is concentrated carries out p-optimality assessment, obtaining the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\&Sigma;}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity;

Immune optimization computing module, for the p-optimality assessed value of the target parameter corresponding according to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

Optimize disaggregation screening module, for each target parameter solving correspondence that described optimization solution is concentrated, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

Optimum results output module, for according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, triggers optimal solution configuration module; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, triggers p-optimality evaluation module;

Optimal solution configuration module, for each target parameter solving correspondence in optimum results is carried out p-optimality assessment, the corresponding physical parameter that solution minimum for p-optimality assessed value is come in disposed chamber in visible light communication system as optimal solution.

Preferably, in described p-optimality evaluation module, P (x) obtains in the following way:

Concentrate each initial solution to compare by fast row's method solution, and calculate the probability P (x) that the element in each initial solution is better than in other initial solutions the element of correspondence.

Concrete, described immune optimization computing module includes:

Select submodule: the initial solution for initial solution being concentrated arranges according to the target parameter p-optimality value ascending order that initial solution is corresponding, take front second predetermined number initial solution as selecting disaggregation;

Clone module: for the described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning, obtain clone's disaggregation;

Evolvon module: carry out random disturbance in an adaptive way clone being solved each solution concentrated, obtain disturbance disaggregation;

Gravity treatment submodule: the target parameter solving correspondence for disturbance solution is concentrated arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

Preferably, optimize target parameter described in disaggregation screening module, each solution of described optimization solution concentration is corresponding, calculate the planar illumination value obtaining each solution correspondence and Signal to Interference plus Noise Ratio value is calculated by below equation:

Wherein, planar illumination calculates according to below equation:

E_j=��_kE_kj,

In formula, E_jFor the planar illumination that jth receptor receives, E_kjIt is receive light intensity through k secondary reflection footpath, during k=0,Representing direct projection footpath, I (0) is LED emitter central brightness, and �� is radiation angle, and �� is angle of incidence, and D is the i-th LED emitter distance to jth receptor, during k > 0, Integral sign represents integration on the reflecting surface, D_RefRepresent the distance between light source and reflecting surface, dA_RefIt it is the differential of reflecting surface area;

Signal to Interference plus Noise Ratio calculates according to below equation:

${\mathrm{SINR}}_j=\frac{r^2{P}_{\left(Signal\right)j}^2}{{\mathrm{\&sigma;}}^2+r^2{P}_{\left(ISI\right)j}^2},$

In formula, SINR_jFor the jth receptor Signal to Interference plus Noise Ratio to LED signal, ��²It is noise signal, P_(Sighal)jIt is useful signal, $P_{\left(Signal\right)j}=\left({\&Integral;}_0^T{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ P_(ISI)jIt is interference signal, wherein, $P_{\left(ISI\right)j}=\left({\&Integral;}_T^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ h_ijBeing the i-th LED emitter channel impulse response to jth receptor, conv is convolution symbol, and X (t) launches signal, and T receives the signal bit cycle.

Preferably, tend towards stability described in optimum results output module and judge according to following decision condition:

The p-optimality assessed value solving corresponding target parameter that the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is corresponding with the last optimum results preserved is compared, its p-optimality assesses the absolute value of value difference less than predetermined threshold value, then this optimum results tends towards stability.

In the scheme that the embodiment of the present invention provides, first determine the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Using corresponding for an each physical parameter element as initial solution, and obtain the initial disaggregation including default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated; The target parameter that each initial solution of initial solution concentration is corresponding is carried out p-optimality assessment, obtain p-optimality assessed value, further according to the p-optimality assessed value of target parameter corresponding to each initial solution, described initial disaggregation is carried out immune optimization computing, obtain optimizing disaggregation;Calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Again optimum results is contrasted with the last optimum results preserved, it may be judged whether terminate to optimize output optimum results; Each target parameter solving correspondence in optimum results is carried out p-optimality assessment, corresponding physical parameter solution minimum for p-optimality assessed value come in disposed chamber in visible light communication system as optimal solution. Therefore, apply the embodiment of the present invention, the physical parameter in visible light communication system in energy reasonably disposed chamber, it is achieved the optimization to energy-saving illumination.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.

Fig. 1 embodiments provides the schematic flow sheet of the optimization method of energy-saving illumination in a kind of indoor visible light communication;

Fig. 2 embodiments provides the another kind of schematic flow sheet of the optimization method of energy-saving illumination in indoor visible light communication;

Fig. 3 embodiments provides the structural representation optimizing device of energy-saving illumination in a kind of indoor visible light communication;

Fig. 4 embodiments provides the another kind of structural representation optimizing device of energy-saving illumination in indoor visible light communication.

Detailed description of the invention

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments. Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.

In the scheme that the embodiment of the present invention provides, first determine the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Using corresponding for an each physical parameter element as initial solution, and obtain the initial disaggregation including default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated; The target parameter that each initial solution of initial solution concentration is corresponding is carried out p-optimality assessment, obtain p-optimality assessed value, further according to the p-optimality assessed value of target parameter corresponding to each initial solution, described initial disaggregation is carried out immune optimization computing, obtain optimizing disaggregation; Calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Again optimum results is contrasted with the last optimum results preserved, it may be judged whether terminate to optimize output optimum results; Each target parameter solving correspondence in optimum results is carried out p-optimality assessment, corresponding physical parameter solution minimum for p-optimality assessed value come in disposed chamber in visible light communication system as optimal solution.

Below by specific embodiment, the present invention will be described in detail.

Fig. 1 embodiments provides the schematic flow sheet of the optimization method of energy-saving illumination in a kind of indoor visible light communication, and this flow process includes:

Step S1: determine the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware;

It will be appreciated by persons skilled in the art that LED is that light emitting diode is called for short, be made up of the compound containing gallium (Ga), arsenic (As), phosphorus (P), nitrogen (N) etc. Visible ray can be given off when electronics and hole-recombination, thus can be used to make LED. GaAs LED glows, gallium phosphide LED green light, carborundum LED Yellow light-emitting low temperature, gallium nitride based LED blue light-emitting. Compared with incandescent lamp bulb and neon lamp, it is low that LED has running voltage; Operating current is only small; Shock resistance and anti-seismic performance are good, and reliability is high, and the life-span is long; Can the power of modulated luminescence easily by modulating that the electric current that passes through is strong and weak. With these features, LED is used as light source in some photoelectric control equipments, is used as Signal Monitor in many electronic equipments.

The embodiment of the present invention is exactly using the LED luminous source as indoor visible light, it is understandable that, in indoor visible light communication system, there is multiple configurable physical parameter, including LED emission power, LED array layout, LED radiation angle and receptor FOV (angle of visual field FieldofView). LED emission power, LED radiation angle, receptor FOV parameter together decide on by hardware parameter and the environment light of equipment, and generally, in the excursion of device hardware parameter, the transmitting power of the more bright LED of environment light is more little. LED array layout then sets according to indoor space structure.

Such as: growing �� room of wide �� height=5 �� 5 �� 3m in, indoor ceiling, wall, ground reflection coefficent are respectively as follows: 0.8,0.5,0.2. I signal projector (i.e. LED group) is uniformly distributed in ceiling, and LED group spacing is d, and transmitting power is P_i, radiation angle is Z_i. J signal receiver is uniformly distributed in highly horizontal plane for 0.85m, has identical FOV, then can set LED group spacing as d, and transmitting power is P_i, radiation angle is Z_i, the span of receptor FOV parameter is 0.5m��d��1.5m, 1.6W��P respectively_i�� 22.1W, 0deg��Z_i�� 50deg, 30deg��FOV��80deg.

Step S2: using corresponding for an each physical parameter element as initial solution, and obtain the initial disaggregation including default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

Being d by LED group spacing, transmitting power is P_i, radiation angle is Z_i, receptor FOV parameter is as the corresponding element in initial solution, such as x={d, P_i, Z_i, FOV}; At LED group spacing d, transmitting power P_i, radiation angle Z_iRandom value in the span that receptor FOV parameter is corresponding, produces an initial disaggregation including default first quantity initial solution, as: produce the disaggregation of 100 initial solutions, 25 values can be on average taken, at transmitting power P in LED group spacing d parameter span_i25 values, radiation angle Z is on average taken in parameter span_i25 values are on average taken in parameter span, 25 values are on average taken in receptor FOV parameter span, here, initial solution number that initial disaggregation is comprised by the embodiment of the present invention and the method obtaining initial disaggregation are not made to specify, it is emphasized that gained initial solution must include the initial solution that all LED light sources are corresponding.

Step S3: the target parameter that each initial solution of initial solution concentration is corresponding being carried out p-optimality assessment, obtains the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\&Sigma;}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity; p-optimality assessed value is more little, the Xie Yueyou that this target parameter is corresponding.

P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, the calculating of P (x) is by initial solution is first concentrated each initial solution compared by fast row's method, then finds out the element in each initial solution and is better than the probability of element corresponding in other initial solutions. Such as: in the scope of each physical parameter, obtain one comprise 4 initial solutions { 1.2,16,30,55}, { 1.2,12,35,45}, { 1.2,18,33,53}, { the initial disaggregation of 1.2,6,40,51}, by transmitting power P_iQuicksort can obtain:

4th initial solution { 1.2,6,40,51}

2nd initial solution { 1.2,12,35,45}

1st initial solution { 1.2,16,30,55}

3rd initial solution { 1.2,18,33,53}

Then P (p₁)=1/3, P (p₂)=2/3, P (p₃)=0, P (p₄)=1, same, other physical parameter can be arranged soon in this way, obtain each physical parameter in homographic solution and be better than the probability P (x) of physical parameter corresponding in other solutions.

Step S4: the p-optimality assessed value according to target parameter corresponding to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

P-optimality assessed value according to target parameter corresponding to each initial solution obtained in S3, passes sequentially through the selection opertor in immune optimization computing, Clone cells, evolutionary operator and gravity treatment operator and initial disaggregation is carried out immune optimization, can obtain optimizing disaggregation.

Step S5: each target parameter solving correspondence concentrated for described optimization solution, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

It will be understood by those skilled in the art that, in indoor visible light communication system, evaluate indoor visible light and whether meet the planar illumination bound usually required according to International Organization for Standardization of lighting requirement and Signal to Interference plus Noise Ratio threshold value makes a decision, in order to obtain with light as requested when using close to actual environment, embodiment of the present invention employing and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value are as reference standard.

It is appreciated that each physical parameter calculating that the planar illumination of receptor and Signal to Interference plus Noise Ratio can pass through in visible light communication technology obtains, wherein, planar illumination calculates according to below equation:

E_j=��_kE_kj,

In formula, E_jFor the planar illumination that jth receptor receives, E_kjIt is receive light intensity through k secondary reflection footpath, during k=0,Representing direct projection footpath, I (0) is LED emitter central brightness, and �� is radiation angle, and �� is angle of incidence, and D is the i-th LED emitter distance to jth receptor, during k > 0, Integral sign represents integration on the reflecting surface, D_RefRepresent the distance between light source and reflecting surface, dA_RefIt it is the differential of reflecting surface area;

Signal to Interference plus Noise Ratio calculates according to below equation:

${\mathrm{SINR}}_j=\frac{r^2{P}_{\left(Signal\right)j}^2}{{\mathrm{\&sigma;}}^2+r^2{P}_{\left(ISI\right)j}^2},$

In formula, SINR_jFor the jth receptor Signal to Interference plus Noise Ratio to LED signal, ��²It is noise signal, P_(Signal)jIt is useful signal, $P_{\left(Signal\right)j}=\left({\&Integral;}_0^T{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ P_(ISI)jIt is interference signal, wherein, $P_{\left(ISI\right)j}=\left({\&Integral;}_T^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX\right(t)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\mathrm{\&Sigma;}}_i{h}_{ij}convX(t\left)dt\right),$ h_ijBeing the i-th LED emitter channel impulse response to jth receptor, conv is convolution symbol, and X (t) launches signal, and T receives the signal bit cycle.

Calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

Step S6: according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, performs step S7; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, returns step S3;

It is appreciated that when the optimum results whether being optimum to optimum results judges, it will usually there is a reference result to compare with it. In the embodiment of the present invention in the process that initial solution is optimized, by the circulation more than 1 time, the reference result that the optimum results that the last time preserves is compareed as this optimum results. The p-optimality assessed value of target parameter corresponding with homographic solution in the last optimum results preserved for the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is compared, if the absolute value that the p-optimalitay of the two assesses value difference is only small, it is believed that this optimum results is stable. Rephrase the statement is exactly that optimum results is when tending towards stability, it may be determined that this optimum results is optimal solution set.

The present embodiment is compared by the p-optimality assessed value of the target parameter that the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is corresponding with homographic solution in the last optimum results preserved, if the p-optimality of the two assesses the absolute value of value difference less than predetermined threshold value, such as 0.01, then this optimum results tends towards stability, can determine that this result is exactly optimum optimum results, and optimum results is exported; If the p-optimality of the two assesses the absolute value of value difference be more than or equal to predetermined threshold value, such as 0.01, then this optimum results is but without stable, need to return to again to this suboptimization result loop optimization in S3 using this optimum results as initial solution, until exporting optimum results just now when meeting the decision condition tended towards stability.

Step S7: each target parameter solving correspondence in optimum results is carried out p-optimality assessment, corresponding physical parameter solution maximum for p-optimality assessed value come in disposed chamber in visible light communication system as optimal solution.

The target parameter that each optimization solution in the optimum results of output is corresponding is carried out a p-optimality assessment, then the p-optimality assessed value of target parameter corresponding to each optimization solution is ranked up, obtain the minimum optimization solution of the p-optimality assessed value in optimum results as optimal solution, physical parameter value corresponding in physical parameter corresponding for each for this optimal solution element is reconfigured as final each value of consult volume indoor visible light colleague.

The application embodiment of the present invention, the target parameter concentrating each initial solution corresponding initial solution carries out p-optimality assessment, the quality of target parameter shows as the size of p-optimality assessed value intuitively, and p-optimality assessed value is more little, the Xie Yueyou that target parameter is corresponding.By immune optimization computing, initial disaggregation is optimized repeatedly, obtain the optimal solution set tended towards stability, it is ensured that the physical parameter that the optimal solution of acquisition is corresponding is the physical parameter of optimum in actual environment, it is achieved the optimization to energy-saving illumination.

Fig. 2 embodiments provides the another kind of schematic flow sheet of the optimization method of energy-saving illumination in indoor visible light communication, compared with embodiment illustrated in fig. 1, in the present embodiment, p-optimality assessed value according to target parameter corresponding to each initial solution, described initial disaggregation is carried out immune optimization computing, obtain optimizing disaggregation, i.e. step S4, including:

The initial solution that initial solution is concentrated by step S4.1 arranges according to the target parameter p-optimality value ascending order that initial solution is corresponding, takes front second predetermined number initial solution as selecting disaggregation.

This step is just carried out the step of selection opertor.

Target parameter corresponding to initial solution that initial solution is concentrated according to p-optimality value according to numeric ratio compared with method complete ascending order and arrange, in simple terms, it is simply that two numerical value are relatively larger little, before the little person of numerical value is placed on, repeatedly compare, it is ensured that gained sequence is according to the ascending sequence of numerical value. such as, assume that initial solution is concentrated and have 4 initial solutions, the p-optimality value of its certain optimization aim parameter corresponding respectively { 0.82, 0.84, 0.87, 0.83}, then its sequencer procedure is: first is compared 0.82 < 0.84 with second, order is constant, namely { 0.82, 0.84, 0.87, 0.83}, first and the 3rd bit comparison 0.82 < 0.87, order is constant, namely { 0.82, 0.84, 0.87, 0.83}, first and the 4th bit comparison 0.82 < 0.83, order is constant, namely { 0.82, 0.84, 0.87, 0.83}, first with three bit comparisons below after can determine that the first place value is minimum. according to this rule have successively second and two bit comparisons below obtain 0.82,0.83,0.87,0.84}. 3rd with the 4th bit comparison can obtain 0.82,0.83,0.84,0.87}, complete the sequence that numerical value is ascending. certainly, the sort method of the present invention is not limited thereto, it is possible to adopt other sort method.

Choosing initial solution concentrates initial solution p-optimality value to come the initial as selection disaggregation of front two, here, owing to initial solution concentrates the difference of initial solution number, also can be different so selecting to solve the number concentrating solution, and this numerical value is not clearly defined by the present invention.

The described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning by step S4.2, obtains clone's disaggregation.

This step is just carried out the step of Clone cells.

In practical application, it is assumed that select solution to be concentrated with 4 solutions, to selecting all of solution concentration to solve clone 8 times, can obtaining including 32 clone's disaggregation solved, the number of times cloned is not defined by the present invention, can adjust this numerical value according to actual requirement.

Clone is solved each solution concentrated and carries out random disturbance by step S4.3 in an adaptive way, obtains disturbance disaggregation.

This step is just carried out the step of evolutionary operator.

Understandable it is, self adaptation refers in process and analysis process, data characteristics according to processing data adjusts processing method, processing sequence, process parameter, boundary condition or constraints automatically, itself and the Statistical Distribution Characteristics of handled data, architectural feature is made to adapt, to obtain the treatment effect of the best.

Assume: solve concentration clone and choose 2 solutions, respectively: { d, P₁, Z₁, FOV}, { d, P₂, Z₂, FOV}, then clone is solved each physical parameter concentrating each solution and carries out random disturbance according to following rule, first random one random number x of generation between [0,1], by this random number x and e^{-1/p-optimality(x)}Compare, if random number x < e^{-1/p-optimality(x)}Then taking replacing present physical value of consult volume by the random number in physical parameter span, and the solution after this replacement solved as evolving, the p-optimality assessed value of the target parameter wherein solving correspondence is more little, Xie Yue is excellent, and the probability that physical parameter in this solution carries out disturbance is more little;The p-optimality assessed value solving corresponding target parameter is more big, and solution is more bad, and the probability that physical parameter in this solution carries out disturbance is more big.

Such as: corresponding physical parameter time actually used, can be obtained in each solution, solve to concentrate clone and arbitrarily choose two solutions, respectively { 1.2,16,30,55}, { 1.2,12,35,45}, concentrating each to solve corresponding target parameter to carry out p-optimality assessment and obtain each p-optimality assessed value solving corresponding target parameter and be respectively as follows: 0.4 by clone is solved, 0.6, existing clone is solved concentrates first solution chosen to carry out disturbance, understand herein for convenient, only to LED emission power P_iCarry out disturbance, it is assumed that the random random number that generates between [0,1] is 0.01, can be calculated 0.01 < e^-1/0.4, then can at 1.6W��P_iWhat��22.1W was random chooses a number, such as 15.2, replaces the solution { 1.2,15.2,30,55} after original physical value of consult volume 16 is replaced by 15.2. Clone is solved concentrates second solution chosen to carry out disturbance, it is assumed that the random random number that generates between [0,1] is 0.1, can be calculated 0.1 < e^-1/0.6, then can at 1.6W��P_iWhat��22.1W was random chooses a number, such as 8.6, replaces the solution { 1.2,8.6,35,45} after original physical value of consult volume 12 is replaced by 8.6. Disturbance can be carried out to solving the one or more physical parameters concentrating each solution, it is thus achieved that disturbance disaggregation according to this rule.

The target parameter solving correspondence that disturbance solution is concentrated by step S4.4 arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

This step is just carried out the step of gravity treatment operator.

In practical application, again each target parameter solving correspondence disturbance solution need to concentrated carries out p-optimality assessment, obtain optimization solution and concentrate each p-optimality assessed value solving corresponding target parameter, again by the p-optimality assessed value of each target parameter solving correspondence according to sorting from small to large, the solution taking front 4 p-optimality assessed values corresponding optimizes disaggregation the most. During due to actual operation, disturbance solution concentrates the number solved different, so the number that optimization solution concentrates solution also can be different, this numerical value is not clearly defined by the present invention.

The application embodiment of the present invention, initial disaggregation is preferably obtained selection disaggregation, Immune Clone Selection disaggregation is repeatedly, obtain comprising clone's disaggregation of a large amount of solution, by the self adaptation disturbance to clone's disaggregation, one or more physical parameters in random change solution to evolution disaggregation meet optimization direction diversity, various interference in real reflection actual illumination environment, the disaggregation after optimization has good anti-interference.

Fig. 3 embodiments provides the structural representation optimizing device of energy-saving illumination in a kind of indoor visible light communication, corresponding with the method flow diagram shown in Fig. 1, module 1 is determined including parameter, initial disaggregation obtains module 2, p-optimality evaluation module 3, immune optimization computing module 4, optimize disaggregation screening module 5, optimum results output module 6, optimal solution configuration module 7.

Wherein, parameter determines module 1, for determining the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Described goal-selling parameter includes: maximum illumination is all spent and minimizes transmitting power;Described physical parameter includes: LED emission power, LED array layout, LED radiation angle and receptor FOV;

Initial solution obtains module 2, is used for corresponding for an each physical parameter element as initial solution, and obtains the initial disaggregation including default first quantity initial solution, wherein, and the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

P-optimality evaluation module 3, the target parameter corresponding for each initial solution that initial solution is concentrated carries out p-optimality assessment, obtaining the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\&Sigma;}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity;

Immune optimization computing module 4, for the p-optimality assessed value of the target parameter corresponding according to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

Optimize disaggregation screening module 5, for each target parameter solving correspondence that described optimization solution is concentrated, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

Optimum results output module 6, for according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, triggers optimal solution configuration module; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, triggers p-optimality evaluation module;

Optimal solution configuration module 7, for each target parameter solving correspondence in optimum results is carried out p-optimality assessment, the corresponding physical parameter that solution minimum for p-optimality assessed value is come in disposed chamber in visible light communication system as optimal solution.

The application embodiment of the present invention, the target parameter concentrating initial solution corresponding initial solution carries out p-optimality assessment, the quality of target parameter shows as the size of p-optimality assessed value intuitively, and p-optimality assessed value is more little, and target parameter is more excellent. By immune optimization computing, initial disaggregation is optimized repeatedly, obtain the optimal solution set tended towards stability, it is ensured that the physical parameter that the optimal solution of acquisition is corresponding is the physical parameter of optimum in actual environment, it is achieved the optimization to energy-saving illumination.

Fig. 4 embodiments provides the another kind of structural representation optimizing device of energy-saving illumination in indoor visible light communication, compared with Fig. 3 embodiment, in the present embodiment, and immune optimization computing module 4, including:

Select submodule 4.1, arrange according to the target parameter p-optimality value ascending order that initial solution is corresponding for the initial solution that initial solution is concentrated, take front second predetermined number initial solution as selecting disaggregation.

Clone module 4.2, for the described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning, obtains clone's disaggregation.

Evolvon module 4.3, carries out random disturbance in an adaptive way clone being solved each solution concentrated, obtains disturbance disaggregation.

Gravity treatment submodule 4.4, the target parameter solving correspondence for disturbance solution is concentrated arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

The application embodiment of the present invention, initial disaggregation is preferably obtained selection disaggregation, Immune Clone Selection disaggregation is repeatedly, obtain comprising clone's disaggregation of a large amount of solution, by the self adaptation disturbance to clone's disaggregation, one or more physical parameters in random change solution to evolution disaggregation meet optimization direction diversity, various interference in real reflection actual illumination environment, the disaggregation after optimization has good anti-interference.

For device embodiment, owing to it is substantially similar to embodiment of the method, so what describe is fairly simple, the corresponding part that relevant part refers in embodiment of the method illustrates.

It should be noted that, in this article, the relational terms of such as first and second or the like is used merely to separate an entity or operation with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially. And, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment. When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, article or equipment.

Each embodiment in this specification all adopts relevant mode to describe, between each embodiment identical similar part mutually referring to, what each embodiment stressed is the difference with other embodiments. Especially for device embodiment, owing to it is substantially similar to embodiment of the method, so what describe is fairly simple, relevant part illustrates referring to the part of embodiment of the method.

One of ordinary skill in the art will appreciate that all or part of step realizing in said method embodiment can be by the hardware that program carrys out instruction relevant and completes, described program can be stored in computer read/write memory medium, the storage medium obtained designated herein, as: ROM/RAM, magnetic disc, CD etc.

The foregoing is only presently preferred embodiments of the present invention, be not intended to limit protection scope of the present invention. All make within the spirit and principles in the present invention any amendment, equivalent replacement, improvement etc., be all contained in protection scope of the present invention.

Claims (10)

1. the optimization method of energy-saving illumination in an indoor visible light communication, it is characterised in that described method includes step:

S1: determine the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Described goal-selling parameter includes: maximum illumination is all spent and minimizes transmitting power; Described physical parameter includes: LED emission power, LED array layout, LED radiation angle and receptor FOV;

S2: using corresponding for an each physical parameter element as initial solution, and obtain the initial disaggregation including default first quantity initial solution, wherein, the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

S3: the target parameter that each initial solution of initial solution concentration is corresponding being carried out p-optimality assessment, obtains the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\&Sigma;}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity;

S4: the p-optimality assessed value according to target parameter corresponding to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

S5: each target parameter solving correspondence concentrated for described optimization solution, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

S6: according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, performs step S7; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, returns step S3;

S7: each target parameter solving correspondence in optimum results is carried out p-optimality assessment, corresponding physical parameter solution minimum for p-optimality assessed value come in disposed chamber in visible light communication system as optimal solution.

2. method according to claim 1, it is characterised in that P (x) described in step S2 obtains in the following way:

Initial solution is concentrated each initial solution compared by fast row's method, and calculates the element in each initial solution and be better than in other initial solutions the probability P (x) of corresponding element.

3. method according to claim 1, it is characterised in that described step S4 includes:

Initial solution initial solution concentrated arranges according to the target parameter p-optimality value ascending order that initial solution is corresponding, takes front second predetermined number initial solution as selecting disaggregation;

The described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning, obtains clone's disaggregation;

In an adaptive way clone is solved each solution concentrated and carry out random disturbance, obtain disturbance disaggregation;

The target parameter solving correspondence that disturbance solution is concentrated arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

4. method according to claim 1, it is characterised in that described described optimization solution is concentrated each solve corresponding target parameter, calculate to obtain and each solve corresponding planar illumination value and Signal to Interference plus Noise Ratio value is calculated by below equation:

Wherein, planar illumination calculates according to below equation:

E_j=��_kE_kj,

In formula, E_jFor the planar illumination that jth receptor receives, E_kjIt is receive light intensity through k secondary reflection footpath, during k=0,Representing direct projection footpath, I (0) is LED emitter central brightness, and �� is radiation angle, and �� is angle of incidence, and D is the i-th LED emitter distance to jth receptor, during k > 0, Integral sign represents integration on the reflecting surface, D_RefRepresent the distance between light source and reflecting surface, dA_RefIt it is the differential of reflecting surface area;

Signal to Interference plus Noise Ratio calculates according to below equation:

${\mathrm{SINR}}_j=\frac{r^2{P}_{\left(Signal\right)j}^2}{{\mathrm{\&sigma;}}^2+r^2{P}_{\left(ISI\right)j}^2},$

In formula, SINR_jFor the jth receptor Signal to Interference plus Noise Ratio to LED signal, ��²It is noise signal, P_(Signal)jIt is useful signal, $P_{\left(Signal\right)j}=({\&Integral;}_0^T{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt),$ P_(ISI)jIt is interference signal, wherein, $P_{\left(ISI\right)j}=({\&Integral;}_T^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt),$ h_ijBeing the i-th LED emitter channel impulse response to jth receptor, conv is convolution symbol, and X (t) launches signal, and T receives the signal bit cycle.

5. method according to claim 1, it is characterised in that tend towards stability described in step S6 and judge according to following decision condition:

The p-optimality assessed value solving corresponding target parameter that the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is corresponding with the last optimum results preserved is compared, its p-optimality assesses the absolute value of value difference less than predetermined threshold value, then this optimum results tends towards stability.

6. the optimization device of energy-saving illumination in an indoor visible light communication thing, it is characterised in that described device includes:

Parameter determines module, for determining the bound of each physical parameter, goal-selling parameter and the planar illumination threshold value corresponding with goal-selling parameter and Signal to Interference plus Noise Ratio threshold value with environmental factors according to indoor visible light communication devices in system hardware; Described goal-selling parameter includes: maximum illumination is all spent and minimizes transmitting power; Described physical parameter includes: LED emission power, LED array layout, LED radiation angle and receptor FOV;

Initial disaggregation obtains module, is used for corresponding for an each physical parameter element as initial solution, and obtains the initial disaggregation including default first quantity initial solution, wherein, and the corresponding one group of target parameter of each initial solution that initial solution is concentrated;

P-optimality evaluation module, the target parameter corresponding for each initial solution that initial solution is concentrated carries out p-optimality assessment, obtaining the p-optimality assessed value of target parameter corresponding to each initial solution, wherein, p-optimality assessed value is expressed as following formula:

$p-optimality\left(x\right)={\left(\mathrm{\&Sigma;}{\left(1-P\left(x\right)\right)}^p\right)}^{\frac{1}{p}},$

In formula, P (x) concentrates the element of each initial solution to be better than the probability of other initial solution corresponding elements that initial solution is concentrated for initial solution, and p optimizes direction controlling value for presetting, and wherein, p>1 solution has harmony, and 0<p��1 solution has lack of uniformity;

Immune optimization computing module, for the p-optimality assessed value of the target parameter corresponding according to each initial solution, carries out immune optimization computing to described initial disaggregation, obtains optimizing disaggregation;

Optimize disaggregation screening module, for each target parameter solving correspondence that described optimization solution is concentrated, calculate and obtain each planar illumination value solving correspondence and Signal to Interference plus Noise Ratio value, planar illumination threshold value corresponding with goal-selling parameter with Signal to Interference plus Noise Ratio value for the planar illumination value of acquisition and Signal to Interference plus Noise Ratio threshold value are compared respectively, planar illumination value is in outside the planar illumination threshold value that described goal-selling parameter is corresponding, or the solution of the Signal to Interference plus Noise Ratio value Signal to Interference plus Noise Ratio threshold value corresponding less than goal-selling parameter is concentrated from described optimization solution and deleted; Optimization disaggregation after completing deletion action is preserved as this optimum results;

Optimum results output module, for according to this optimum results preserved and the last optimum results preserved, it is determined that whether this optimum results tends towards stability, if it is, export this optimum results, triggers optimal solution configuration module; Otherwise the optimization disaggregation of this optimum results is defined as initial disaggregation, triggers p-optimality evaluation module;

Optimal solution configuration module, for each target parameter solving correspondence in optimum results is carried out p-optimality assessment, the corresponding physical parameter that solution minimum for p-optimality assessed value is come in disposed chamber in visible light communication system as optimal solution.

7. device according to claim 6, it is characterised in that in described p-optimality evaluation module, P (x) obtains in the following way:

Concentrate each initial solution to compare by fast row's method solution, and calculate the probability P (x) that the element in each initial solution is better than in other initial solutions the element of correspondence.

8. device according to claim 6, it is characterised in that described immune optimization computing module includes:

Select submodule: the initial solution for initial solution being concentrated arranges according to the target parameter p-optimality value ascending order that initial solution is corresponding, take front second predetermined number initial solution as selecting disaggregation;

Clone module: for the described each solution selecting to solve concentration is carried out the 3rd predetermined number time cloning, obtain clone's disaggregation;

Evolvon module: carry out random disturbance in an adaptive way clone being solved each solution concentrated, obtain disturbance disaggregation;

Gravity treatment submodule: the target parameter solving correspondence for disturbance solution is concentrated arranges according still further to p-optimality value ascending order after carrying out p-optimality assessment, takes front 4th predetermined number and solves as optimizing disaggregation.

9. device according to claim 6, it is characterised in that optimize described in disaggregation screening module, described optimization solution is concentrated each and solve corresponding target parameter, calculates to obtain and each solves corresponding planar illumination value and Signal to Interference plus Noise Ratio value is calculated by below equation:

Wherein, planar illumination calculates according to below equation:

E_j=��_kE_kj,

In formula, E_jFor the planar illumination that jth receptor receives, E_kjIt is receive light intensity through k secondary reflection footpath, during k=0,Representing direct projection footpath, I (0) is LED emitter central brightness, and �� is radiation angle, and �� is angle of incidence, and D is the i-th LED emitter distance to jth receptor, during k > 0, Integral sign represents integration on the reflecting surface, D_RefRepresent the distance between light source and reflecting surface, dA_RefIt it is the differential of reflecting surface area;

Signal to Interference plus Noise Ratio calculates according to below equation:

${\mathrm{SINR}}_j=\frac{r^2{P}_{\left(Signal\right)j}^2}{{\mathrm{\&sigma;}}^2+r^2{P}_{\left(ISI\right)j}^2},$

In formula, SINR_jFor the jth receptor Signal to Interference plus Noise Ratio to LED signal, ��²It is noise signal, P_(Signal)jIt is useful signal, $P_{\left(Signal\right)j}=({\&Integral;}_0^T{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt),$ P_(ISI)jIt is interference signal, wherein, $P_{\left(ISI\right)j}=({\&Integral;}_T^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt/{\&Integral;}_0^{\mathrm{\&infin;}}{\&Sigma;}_i{h}_{ij}convX\left(t\right)dt),$ h_ijBeing the i-th LED emitter channel impulse response to jth receptor, conv is convolution symbol, and X (t) launches signal, and T receives the signal bit cycle.

10. device according to claim 6, it is characterised in that tend towards stability described in optimum results output module and judge according to following decision condition:

The p-optimality assessed value solving corresponding target parameter that the p-optimality assessed value of target parameter solving correspondence each in the optimum results of this acquisition is corresponding with the last optimum results preserved is compared, its p-optimality assesses the absolute value of value difference less than predetermined threshold value, then this optimum results tends towards stability.