CN104182826A - A method and an apparatus for processing allocation data - Google Patents
A method and an apparatus for processing allocation data Download PDFInfo
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- CN104182826A CN104182826A CN201410396047.4A CN201410396047A CN104182826A CN 104182826 A CN104182826 A CN 104182826A CN 201410396047 A CN201410396047 A CN 201410396047A CN 104182826 A CN104182826 A CN 104182826A
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Abstract
The invention discloses a method and an apparatus for processing allocation data. The method comprises: receiving order information, wherein, the order information comprises total order data, a service cycle, and an order type, and the service cycle is divided into one or more time periods; determining the allocation data for each of the time periods within the service cycle according to a calculation rule corresponding to the order type, the total order data, and the service cycle; adding historical allocation data for each of the time periods, which is in a called database, to the determined allocation data one by one in accordance with each of the time periods, to obtain the final allocation data for each of the time periods. By the invention, orders are split having a certain time period as a unit, and through adding to the historical allocation data in accordance with the time periods and updating in real time, the allocation data at any time point can be displayed, and since the data is allocated having the certain time period as a unit according to the invention, the data amount needing to be processed is reduced, and the data processing speed is faster.
Description
Technical field
The present invention relates to communication field, particularly relate to a kind of amortization of data disposal route and device.
Background technology
Along with the application of infotech and universal, enterprise just progressively realizes by computer system in conjunction with database, to effective management of the data such as order.
User in actual use, need to carry out integration or the renewal of data at set intervals, and such as order, contract, form etc., all need to carry out the processing such as data gather, data are shared.But in correlation technique, the management of sharing for data such as orders is still blank, user requires a great deal of time every month and energy adopts the mode of craft or Excel table to carry out the calculating of amortization of data, and workload is huge, and error rate is high.Meanwhile, amortization of data is discrete to be kept in computer, is not easy to search and have access to, and cannot inquire about and comparative analysis from different dimensions, and data is easily lost.
For the calculated amount of amortization of data in correlation technique, the large and lower problem of efficiency, not yet proposes effective solution at present.
Summary of the invention
For the calculated amount of amortization of data in correlation technique, the large and lower problem of efficiency, the invention provides a kind of amortization of data disposal route and device, in order to solve the problems of the technologies described above.
According to an aspect of the present invention, the invention provides a kind of amortization of data disposal route, wherein, the method comprises: receive sequence information; Wherein, described sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the described seeervice cycle is divided into one or more time periods; According to the computation rule corresponding with described Order Type, and described total number of orders is according to, described seeervice cycle, determines the amortization of data of each time period in the described seeervice cycle; By the historical amortization of data of each time period in the database of transferring, be added one by one according to each time period with the described amortization of data of determining, obtain the final amortization of data of each time period.
Preferably, receive after sequence information, described method comprises: search default, with the computation rule that in described sequence information, Order Type is corresponding.
Preferably, search the computation rule corresponding with described Order Type, comprise: if described Order Type is for increasing income, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
Preferably, search the computation rule corresponding with described Order Type, comprise: if described Order Type is reimbursement, searching default computation rule is: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
Preferably, after obtaining the final amortization of data of each time period, described method also comprises: by the final amortization of data of each time period in the seeervice cycle, and the historical amortization of data of each corresponding time period in cover database; Or, by the final amortization of data of each time period in the seeervice cycle, be separately stored in database.
According to a further aspect in the invention, the present invention also provides a kind of amortization of data treating apparatus, and wherein, this device comprises: information receiving module, for receiving sequence information; Wherein, described sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the described seeervice cycle is divided into one or more time periods; Data processing module, for according to the computation rule corresponding with described Order Type, and described total number of orders is according to, described seeervice cycle, determines the amortization of data of each time period in the described seeervice cycle; Data synthesis module, for by the historical amortization of data of each time period of database of transferring, is added according to each time period one by one with the described amortization of data of determining, obtains the final amortization of data of each time period.
Preferably, described device also comprises: search module, for after described information receiving module receives sequence information, search default, with the computation rule that in described sequence information, Order Type is corresponding.
Preferably, the described module of searching comprises: first searches unit, for at described Order Type for increase income in the situation that, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
Preferably, the described module of searching comprises: second searches unit, for in the situation that described Order Type is reimbursement, searching default computation rule is: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
Preferably, described device also comprises: data update module, and for by the final amortization of data of each time period in the seeervice cycle, the historical amortization of data of each corresponding time period in cover database; Or the another storing module of data, for by the final amortization of data of each time period in the seeervice cycle, is separately stored in database.
By the present invention, solve the large and efficiency lower problem of the calculated amount of amortization of data in correlation technique, order is split taking certain hour section as unit, by adding according to the time period with historical amortization of data and carrying out real-time update, can show the amortization of data of random time point, and because it is shared data taking certain hour section as unit, reduce the data volume of required processing, and there is data processing speed faster.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, and for above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
Brief description of the drawings
Fig. 1 is according to the process flow diagram of the amortization of data disposal route of the embodiment of the present invention;
Fig. 2 is the amortization of data disposal system Organization Chart according to the embodiment of the present invention;
Fig. 3 is the process flow diagram that increases income amortization of data according to the embodiment of the present invention;
Fig. 4 is according to the structured flowchart of the amortization of data treating apparatus of the embodiment of the present invention.
Embodiment
In order to solve the large and lower problem of efficiency of the calculated amount of amortization of data in prior art, the invention provides a kind of amortization of data disposal route and device, below in conjunction with accompanying drawing and embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, does not limit the present invention.
The present embodiment provides a kind of amortization of data disposal route, and Fig. 1 is according to the process flow diagram of the amortization of data disposal route of the embodiment of the present invention, and as shown in Figure 1, the method comprises the following steps (step S102-step S106):
Step S102, receives sequence information; Wherein, sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the seeervice cycle is divided into one or more time periods.
Step S104, according to the computation rule corresponding with Order Type, and total number of orders is according to, seeervice cycle, determines the amortization of data of each time period in the seeervice cycle.
Step S106, by the historical amortization of data of each time period in the database of transferring, is added according to each time period one by one with definite amortization of data, obtains the final amortization of data of each time period.
Pass through said apparatus, order is split taking certain hour section as unit, by adding according to the time period with historical amortization of data and carrying out real-time update, can show the amortization of data of random time point, and because it is shared data taking certain hour section as unit, reduce the data volume of required processing, and there is data processing speed faster.
In the present embodiment, the computation rule that Order Type is corresponding, can preset in advance also preserve, thereby improves processing rationality and the efficiency of amortization of data.After receiving sequence information, the present embodiment provides a kind of preferred implementation, searches default, corresponding with Order Type in sequence information computation rule.
In order to ensure the Cost Allocation of amortization of data, Order Type difference, its corresponding computation rule is not identical yet, below by preferred implementation, illustrates the different computation rules that different Order Types are corresponding:
If Order Type is for increasing income, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, and the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
If Order Type is reimbursement, searches default computation rule and be: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
In the present embodiment, after obtaining the final amortization of data of each time period, can in database, carry out Data Update, also final amortization of data separately can be stored in to database, specifically take which kind of data processing method, can determine according to user's request or practical operation situation.Based on this, the present embodiment provides a kind of preferred implementation,, after obtaining the final amortization of data of each time period, said method also comprises: by the final amortization of data of each time period in the seeervice cycle, and the historical amortization of data of each corresponding time period in cover database; Or, by the final amortization of data of each time period in the seeervice cycle, be separately stored in database.
Basic thought of the present invention is to write, each time period, for example per hour, per minute or every day, (the present embodiment was taking every day as example, data are taking the amount of money as example) as a grid, the each order receiving, according to order total charge and seeervice cycle (supposing that this seeervice cycle is taking sky as unit divides), calculate respectively the contribution quota of every day, the amount of money that finally each order is split in to some day adds up and is put in the middle of corresponding grid.Fig. 2 is the amortization of data disposal system Organization Chart according to the embodiment of the present invention, and as shown in Figure 2, amortization of data is processed operation, specifically can take following embodiment:
(1) utilize data package, from database, transfer the historical contribution quota of storing in nearest moment database, wherein, this history contribution quota comprises the contribution quota in each moment of sharing initial time and being later than this initial time, and the contribution quota of transferring is stored in the middle of internal memory.
In the present embodiment, the execution sequence of this step is unfixing, as long as complete before in step (5).
(2) sequence information data package being received stores in the middle of internal memory, and this sequence information comprises order total charge, seeervice cycle, Order Type.
(3) find the computation rule setting in advance to Order Type that should order by regulation engine.
(4), according to the computation rule finding, computing engines is according to order total charge and the contribution quota of serving each time period in the computation of Period seeervice cycle.
(5) computing engines is added the contribution quota calculating and the historical contribution quota that is stored in internal memory one by one according to the time period.
(6) computing engines is written to the result after being added in the middle of database according to the time period.This write operation can be new historical contribution quota more, or the result after being added is separately deposited.
Below by specific embodiments and the drawings, technical scheme of the present invention is described in detail.
Embodiment mono-
The present embodiment is that the treatment scheme of the contribution quota that increases income is introduced to Order Type.In the present embodiment, the total charge of supposing order A is 3 yuan, and Order Type is: increase income, its seeervice cycle is 3 days, and start date of service is on May 1st, 2014, and Service stop date is on May 3rd, 2014.Fig. 3 is the process flow diagram that increases income amortization of data according to the embodiment of the present invention, and as shown in Figure 3, this flow process comprises the following steps (step S302-step S312):
Step S302, according to this data processing method, first data package is from database at least after on May 1st, 2014 of calling stored and 1 day May in 2014, until the historical contribution quota of each day of the last day that database is stored.
For example, database stores the contribution quota on Dec 31st, 1 day 1 January in 2014, at least transfer the historical contribution quota on Dec 31st, 1 day 1 May in 2014 of storing in database, and transferred historical contribution quota is stored in internal memory.Suppose, the contribution quota in 1 day May in 2014 of storing in database is that the contribution quota on May 2nd, 100 yuan 1 is that the contribution quota on May 3rd, 200 yuan 1 is that the contribution quota on May 4th, 77 yuan 1 is that the contribution quota on May 5th, 19 yuan 1 is that the contribution quota on Dec 31, each day in 33 yuan, 2014 on May 6, to 2024 is 0 yuan.
Step S304, data package stores the information of the order A receiving in internal memory into, comprises the total charge of order A: 3 yuan; Its seeervice cycle: 3 days; Start date of service is on May 1st, 2014, and Service stop date is on May 3rd, 2014; Order Type is: increase income.
Step S306, regulation engine " increases income " according to the type of corresponding order A, finds the computation rule setting in advance accordingly.
Suppose, the computation rule that corresponding Order Type " increases income " is: the contribution quota that order total charge is each time period divided by the business of seeervice cycle gained, if any remainder, is added the contribution quota as last time period using remainder and business.Certainly, this computation rule is unfixing, and circular can be changed according to practical operation demand.
Step S308, computing engines is according to computation rule, the contribution quota of each time period in the calculation services cycle.
In the present embodiment, according to 3 yuan of total charges and 3 days seeervice cycles, can calculate every day in the seeervice cycle, the contribution quota of on May 1st, 1, on May 2nd, 2014, every day on the 3rd May in 2014 is 1 yuan.
Step S310, computing engines is the historical contribution quota of storing in the contribution quota calculating and internal memory, is added one by one according to the corresponding time period.
In the present embodiment, contribution quota by May 1st, 2014, on May 2nd, 2014, every day on the 3rd May in 2014: 1 yuan, with the historical contribution quota in 1 day May in 2014 of memory be that the historical contribution quota on May 2nd, 100 yuan 1 is that the historical contribution quota on May 3rd, 200 yuan 1 is that the historical contribution quota on May 4th, 77 yuan 1 is that the historical contribution quota on May 5th, 19 yuan 1 is that the historical contribution quota on Dec 31, each day in 33 yuan, 2014 on May 6, to 2024 is 0 yuan and is added one by one.
Addition result is: the contribution quota on May 1st, 2014 is that the contribution quota on May 2nd, 101 yuan 1 is that the contribution quota on May 3rd, 201 yuan 1 is that the contribution quota on May 4th, 78 yuan 1 is that the contribution quota on May 5th, 19 yuan 1 is that the contribution quota on Dec 31, each day in 33 yuan, 2014 on May 6, to 2024 is 0 yuan.
Step S312, computing engines by be added after result according in corresponding time period write into Databasce.
Wherein, can be following two kinds of implementations by the result write into Databasce after being added: 1) result after being added is covered to the historical contribution quota of the corresponding time period that is stored in before this database, the contribution quota of being stored to ensure in database is up-to-date data; Or, 2) result after being added is stored in database separately, to distinguish with the historical contribution quota that is stored in before this database.Preferably, can mark rise time or the storage time of this result, thereby be convenient to identify the data of storing in nearest moment database.
Embodiment bis-
The treatment scheme of the contribution quota that the present embodiment is reimbursement to Order Type is introduced.In the present embodiment, the income total charge of supposing order A is 3 yuan, and it increases income, and to share the period be 3 days, and sharing from date is on May 1st, 2014, sharing the date of expiry is on May 3rd, 2014, and completed the computing time that increases income contribution quota of order A on April 29th, 2014.The flow process of reimbursement amortization of data comprises the following steps:
(1) according to this data processing method, first data package is from database at least after on May 1st, 2014 of calling stored and 1 day May in 2014, until the historical contribution quota of each day of the last day that database is stored, and transferred contribution quota is stored in internal memory.The historical contribution quota in 1 day May in 2014 of for example storing in database is that the historical contribution quota on May 2nd, 100 yuan 1 is that the historical contribution quota on May 3rd, 200 yuan 1 is that the historical contribution quota on May 4th, 77 yuan 1 is that the historical contribution quota on May 5th, 19 yuan 1 is that the historical contribution quota on Dec 31, each day in 33 yuan, 2014 on May 6, to 2024 is 0 yuan.
(2) data package stores the reimbursement information of the order A receiving in internal memory into, comprises the refund amount of order A: 2 yuan, reimbursement date and share type: reimbursement.
(3) regulation engine is " reimbursement " according to Order Type, and correspondence finds the computation rule setting in advance.The present embodiment provides a kind of preferred implementation, supposes that the computation rule that corresponding Order Type is " reimbursement " is:
A) hypothesis is on April 30th, 2014 on the reimbursement date, reimbursement occurs increasing income before sharing initial day:
Refund amount=order total charge-refund amount=3-2=1 unit is shared in the reimbursement same day (on April 30th, 2014);
Increase income and share in the period, apportioned refund amount=increase income for each day in each day (on May 1st, 1, on May 2nd, 2014, on May 3rd, 2014) negative=-1 of contribution quota.
B) hypothesis is on May 1st, 2014 on the reimbursement date, reimbursement occurs increasing income to share in the initial period:
Refund amount=Unamoritized the amount of money-apportioned refund amount=(3-1)-2=0 that increases income is shared in the reimbursement same day (on May 1st, 2014);
Increase income and share in the period and after reimbursement day apportioned refund amount in each day (on May 2nd, 1, on May 3rd, 2014)=increase income for each day negative=-1 of contribution quota;
Increase income and share in the period and before reimbursement day apportioned refund amount=0 in each day (on May 1st, 1).
C) hypothesis is on May 4th, 2014 on the reimbursement date, reimbursement occurs increasing income after sharing closing day:
The reimbursement same day (on May 4th, 2014) is shared refund amount and is counted to increase income and share closing day, be designated as on May 3rd, 2014, its apportioned refund amount=Unamoritized amount of money-apportioned refund amount=(3-3)-2=-2 that increases income;
Increase income and share in the period and before reimbursement day apportioned refund amount=0 in each day (on May 1st, 1, on May 2nd, 2014).
(4) computing engines is the historical contribution quota of storing in the contribution quota calculating and internal memory, is added one by one according to the corresponding time period.Finally, computing engines by be added after result according in corresponding time period write into Databasce.
Wherein, can be following two kinds of implementations by the result write into Databasce after being added: 1) result after being added is covered to the historical contribution quota of the corresponding time period that is stored in before this database, the contribution quota of being stored to ensure in database is up-to-date data; Or, 2) result after being added is stored in database separately, to distinguish with the contribution quota that is stored in before this database.Preferably, can mark rise time or the storage time of this result, thereby be convenient to identify the data of storing in nearest moment database.
The amortization of data disposal route of introducing corresponding to above-described embodiment, the present embodiment provides a kind of amortization of data treating apparatus, and this device can be arranged on end side, in order to realize above-described embodiment.Fig. 4 is according to the structured flowchart of the amortization of data treating apparatus of the embodiment of the present invention, and as shown in Figure 4, this device comprises: information receiving module 10, data processing module 20 and data synthesis module 30.Below this structure is described in detail.
Information receiving module 10, for receiving sequence information; Wherein, sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the seeervice cycle is divided into one or more time periods;
Data processing module 20, for according to the computation rule corresponding with Order Type, and total number of orders is according to, seeervice cycle, determines the amortization of data of each time period in the seeervice cycle;
Data synthesis module 30, for by the historical amortization of data of each time period of database of transferring, is added according to each time period one by one with definite amortization of data, obtains the final amortization of data of each time period.
Pass through said apparatus, order is split taking certain hour section as unit, by adding according to the time period with historical amortization of data and carrying out real-time update, can show the amortization of data of random time point, and because it is shared data taking certain hour section as unit, reduce the data volume of required processing, and there is data processing speed faster.
In the present embodiment, the computation rule that Order Type is corresponding, can preset in advance also preserve, thereby improves processing rationality and the efficiency of amortization of data.Therefore, said apparatus can also comprise: search module, for after information receiving module receives sequence information, search default, corresponding with Order Type in sequence information computation rule.
In order to ensure the Cost Allocation of amortization of data, Order Type difference, its corresponding computation rule is not identical yet.The present embodiment provides a kind of preferred implementation, and the above-mentioned module of searching comprises:
First searches unit, for at Order Type for increase income in the situation that, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
Second searches unit, for in the situation that Order Type is reimbursement, searching default computation rule is: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
In the present embodiment, after obtaining the final amortization of data of each time period, can in database, carry out Data Update, also final amortization of data separately can be stored in to database, specifically take which kind of data processing method, can determine according to user's request or practical operation situation.Based on this, the present embodiment provides a kind of preferred implementation, and said apparatus also comprises: data update module, and for by the final amortization of data of each time period in the seeervice cycle, the historical amortization of data of each corresponding time period in cover database; Or the another storing module of data, for by the final amortization of data of each time period in the seeervice cycle, is separately stored in database.
Known from the above description, the present invention is by splitting order taking certain hour section as unit, can show the amortization of data of random time point by the real-time update adding according to the time period with historical amortization of data and carry out data, and because it is shared data taking certain hour section as unit, reduce the data volume of required processing, and there is data processing speed faster.
Although be example object, the preferred embodiments of the present invention are disclosed, it is also possible those skilled in the art will recognize various improvement, increase and replacement, therefore, scope of the present invention should be not limited to above-described embodiment.
Claims (10)
1. an amortization of data disposal route, is characterized in that, comprising:
Receive sequence information; Wherein, described sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the described seeervice cycle is divided into one or more time periods;
According to the computation rule corresponding with described Order Type, and described total number of orders is according to, described seeervice cycle, determines the amortization of data of each time period in the described seeervice cycle;
By the historical amortization of data of each time period in the database of transferring, be added one by one according to each time period with the described amortization of data of determining, obtain the final amortization of data of each time period.
2. the method for claim 1, is characterized in that, after receiving sequence information, described method comprises:
Search default, with the computation rule that in described sequence information, Order Type is corresponding.
3. method as claimed in claim 2, is characterized in that, searches the computation rule corresponding with described Order Type, comprising:
If described Order Type is for increasing income, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, and the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
4. method as claimed in claim 2, is characterized in that, searches the computation rule corresponding with described Order Type, comprising:
If described Order Type is reimbursement, searches default computation rule and be: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
5. the method for claim 1, is characterized in that, after obtaining the final amortization of data of each time period, described method also comprises:
By the final amortization of data of each time period in the seeervice cycle, the historical amortization of data of each corresponding time period in cover database; Or,
By the final amortization of data of each time period in the seeervice cycle, be separately stored in database.
6. an amortization of data treating apparatus, is characterized in that, comprising:
Information receiving module, for receiving sequence information; Wherein, described sequence information comprises total number of orders certificate, seeervice cycle, Order Type, and the described seeervice cycle is divided into one or more time periods;
Data processing module, for according to the computation rule corresponding with described Order Type, and described total number of orders is according to, described seeervice cycle, determines the amortization of data of each time period in the described seeervice cycle;
Data synthesis module, for by the historical amortization of data of each time period of database of transferring, is added according to each time period one by one with the described amortization of data of determining, obtains the final amortization of data of each time period.
7. device as claimed in claim 6, is characterized in that, described device also comprises:
Search module, for after described information receiving module receives sequence information, search default, with the computation rule that in described sequence information, Order Type is corresponding.
8. device as claimed in claim 7, is characterized in that, described in search module and comprise:
First searches unit, for at described Order Type for increase income in the situation that, searching default computation rule is: total number of orders certificate is divided by the seeervice cycle, the business of gained is the amortization of data of each time period in the seeervice cycle, if there is remainder, remainder and business are added, as the amortization of data of last time period in the seeervice cycle.
9. device as claimed in claim 7, is characterized in that, described in search module and comprise:
Second searches unit, for in the situation that described Order Type is reimbursement, searching default computation rule is: according to date of reimbursement with increase income the relation of the time period of sharing, according to the total number of orders certificate of historical amortization of data and reimbursement, determine the final amortization of data of each time period.
10. device as claimed in claim 6, is characterized in that, described device also comprises:
Data update module, for by the final amortization of data of each time period in the seeervice cycle, the historical amortization of data of each corresponding time period in cover database; Or,
The another storing module of data, for by the final amortization of data of each time period in the seeervice cycle, is separately stored in database.
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| CN106909553A (en) * | 2015-12-23 | 2017-06-30 | 阿里巴巴集团控股有限公司 | A kind of data validity determines method and device |
| CN110910268A (en) * | 2019-11-22 | 2020-03-24 | 傲网信息科技（厦门）有限公司 | Pig farm cost analysis method and device and electronic equipment |
| CN112927035A (en) * | 2021-01-29 | 2021-06-08 | 北京字节跳动网络技术有限公司 | Resource allocation method, device, equipment and medium |
| CN113077330A (en) * | 2021-04-22 | 2021-07-06 | 北京阿帕科蓝科技有限公司 | Income confirmation method, income condition processing system and electronic equipment |
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