Electric charge fund arrival time optimization method

Abstract

The invention relates to an electric charge fund account arrival duration optimization method, which comprises the following steps of: collecting electric charge account arrival data, and preprocessing the data; analyzing the rules of the electricity charge account-arriving scale and the electricity charge account-arriving duration through the preprocessed electricity charge account-arriving data; selecting a plurality of electricity charge arrival channels of which the proportion of the electricity charge arrival scale is greater than a threshold value, and carrying out electricity charge arrival blocking point analysis according to the electricity charge arrival duration condition of the electricity charge arrival channels; formulating optimization measure suggestions according to the analysis result of the electricity charge arrival blocking points; according to the method, the laws in four aspects of fund account-arriving scale, time characteristics, payment modes and account-arriving channels are analyzed according to the overall condition of electricity fund account-arriving, common blockage points of electricity fund account-arriving are analyzed according to the laws, and corresponding optimization schemes are provided according to different blockage points, so that the time length of electricity fund account-arriving is optimized.

Description

Technical Field

[0001] The invention relates to a method for optimizing the time length of electricity fee funds arriving at an account, and belongs to the technical field of electric power economy. Background Art

[0002] With the rapid development of economic and social informatization and digitalization, as well as the in-depth promotion of power system reform, power companies have an increasing demand for lean and high-quality fund management. Under the current electricity fee management model, the time for electricity fee revenue to be collected is uncontrollable and varies greatly, which has a great impact on fund management. There are many scenarios for electricity fee revenue. Different types of customers, payment channels, and payment methods can form a variety of scenarios. The existing system cannot analyze the factors affecting electricity fee revenue in typical scenarios, and cannot achieve lean fund management. There are many channels for electricity fee funds to be collected. The existing system cannot control the time it takes for each payment channel to be collected, so it cannot capture the law of electricity fee fund revenue, which has a negative impact on the lean management of funds and the precise control of time. There are many factors affecting the time for electricity fee collection. In different payment channels, customer types, and payment methods, different emergencies will occur. The existing system cannot cope with uncontrollable emergencies, so it cannot accurately predict electricity fee revenue.

[0003] As a major source of income for power grids, the level of precise control of electricity bills directly affects the financial security and production and operation of the power grid. With new changes in the power grid operating environment, new trends in the digital revolution, and new strategic requirements, new requirements have been put forward for the precise control of electricity bills. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention proposes a method for optimizing the time it takes for electricity fee funds to arrive.

[0005] The technical solution of the present invention is as follows:

[0006] On the one hand, the present invention provides a method for optimizing the time length of electricity fee funds arriving at an account, comprising the following steps:

[0007] Collect electricity bill receipt data and pre-process the data;

[0008] The pre-processed electricity bill receipt data is used to analyze the scale and duration of electricity bill receipt;

[0009] Select several electricity bill payment channels whose proportion of electricity bill payment is greater than the threshold, and analyze the electricity bill payment bottlenecks based on their electricity bill payment time.

[0010] Formulate optimization measures based on the analysis results of electricity bill payment bottlenecks.

[0011] As a preferred embodiment of the present invention, the steps for analyzing the regularity of the electricity fee payment scale and the electricity fee payment time are as follows:

[0012] Based on the pre-processed electricity bill receipt data, the hierarchical analysis method is used to take the electricity bill receipt law as the target layer, and the electricity bill receipt scale and electricity bill receipt time as the first-level criterion layer;

[0013] Based on the pre-processed electricity bill data, each first-level criterion layer is subdivided into multiple second-level criterion layers, and each second-level criterion layer is subdivided into multiple third-level criterion layers;

[0014] Build targeted solutions based on the subdivided three-level criteria layer to form a solution layer;

[0015] Obtain the priority weight of each element at each level to the elements at the previous level, and finally use the weighted sum method to recursively merge the final weights of each alternative plan to the overall goal. The one with the largest final weight is the optimal plan.

[0016] As a preferred embodiment of the present invention, the secondary criteria layer of the electricity bill payment scale includes: the amount of electricity bill payment, the regular characteristics of the electricity bill payment time, the user payment method and the electricity bill payment channel.

[0017] As a preferred implementation of the present invention, the secondary criterion layer of the electricity bill arrival time includes: full process time, arrival time for each user type, arrival time for each payment channel and full process time for each payment method.

[0018] As a preferred embodiment of the present invention, the three-level criteria layer of the electricity bill amount includes: the scale analysis of the amount of the whole province, the average value analysis of each payment in each region, the scale analysis of the amount of the amount of each type of user, and the scale analysis of the amount of the amount of each power supply company;

[0019] The three-level criteria layer of the regular characteristics of the time of electricity bill arrival includes: overall electricity bill arrival scale trend analysis, electricity bill arrival scale trend analysis for each user type, electricity bill arrival scale trend analysis for each industry high-voltage user, overall electricity bill arrival scale monthly trend analysis, electricity bill arrival scale monthly trend analysis for each user type, electricity bill arrival scale monthly trend analysis for each industry high-voltage user, electricity bill arrival fund arrival analysis for cities and prefectures on holidays, and weekly situation analysis for electricity bill arrival scale for each industry;

[0020] The three-level criteria layer of the user payment method includes: analysis of the payment method of electricity fee funds for each user type, analysis of the payment method of electricity fee funds for each channel, and detailed analysis of electricity fee funds for high-voltage users;

[0021] The three-level criteria layer of the electricity bill funds arrival channels include: the distribution of the scale of electricity bill funds arrival in each channel, the analysis of electricity bill funds arrival in each city channel, and the analysis of the preference of electricity bill funds arrival channels for each user type.

[0022] As a preferred embodiment of the present invention, the three-level criterion layer of the whole process duration includes: whole process duration analysis;

[0023] The three-level criteria layer of the full process duration of each user type includes: full process duration analysis of low-voltage residential users, full process duration analysis of low-voltage non-residential users, and full process duration analysis of high-voltage users;

[0024] The three-level criteria for the entire process time of each payment channel include: analysis of the time it takes to reach the account at each bank and analysis of the time it takes to reach the account via Dian E Bao;

[0025] The three-level criteria for the entire process time of each payment method include: analysis of the time it takes to arrive through collection channels, analysis of the time it takes to arrive through deduction channels, analysis of the time it takes to arrive through cash payments, and analysis of the time it takes to arrive through active transfers.

[0026] On the other hand, the present invention also provides a system for optimizing the time length of electricity fee funds arriving, including a data acquisition module, an electricity fee arrival rule analysis module, an electricity fee arrival blockage analysis module, and an optimization module;

[0027] The data acquisition module is used to collect electricity fee receipt data and pre-process the data;

[0028] The electricity fee payment rule analysis module is used to analyze the rules of the electricity fee payment scale and the electricity fee payment time through the pre-processed electricity fee payment data;

[0029] The electricity fee payment blockage analysis module is used to select several electricity fee payment channels whose proportion of electricity fee payment is greater than a threshold, and analyze the electricity fee payment blockage according to the electricity fee payment time.

[0030] The optimization module is used to formulate optimization measures suggestions based on the analysis results of the electricity fee collection bottlenecks.

[0031] On the other hand, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0032] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the present invention.

[0033] The present invention has the following beneficial effects:

[0034] 1. The present invention analyzes the regularities of the four aspects of the scale of funds arrival, time characteristics, payment methods, and arrival channels through the overall situation of electricity bill funds arrival, analyzes the common bottlenecks of electricity funds arrival according to the regularities, and provides corresponding optimization solutions according to different bottlenecks, thereby optimizing the time for electricity funds to arrive. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flow chart of the method of the present invention;

[0036] Figure 2 It is a schematic diagram of the overall hierarchy of the present invention;

[0037] Figure 3 This is a schematic diagram of the scale of electricity bills received in the present invention;

[0038] Figure 4 This is a schematic diagram of the time levels for electricity bills to be credited to an account according to the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0041] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0042] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0043] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0044] Embodiment 1:

[0045] See also Figure 1 , a method for optimizing the time length of electricity fee funds arriving at an account, comprising the following steps:

[0046] Collect electricity bill receipt data and pre-process the data;

[0047] In this embodiment, the electricity bill arrival data includes several important field data such as the amount, number of electricity bill funds received within a fixed time period, and the arrival time. The required core fields are sorted out to form a data demand table, and data is extracted according to dimensions such as time, region, channel, and user type. In this embodiment, the data is extracted in three batches. The first batch of detailed data of users from the five major channels uses the whole year of 2022 as the data analysis interval, the second batch of data on the amount and number of electricity bill funds received from all channels uses August 2022 to August 2023 as the analysis interval, and the third batch of detailed data on high-voltage users of each channel (including user industries) uses January 2023 to August 2023 as the analysis interval;

[0048] Then the extracted data is preprocessed, and operations such as data conversion, feature extraction, and dimension reduction are performed. After the three batches of data are subjected to operations such as data null value removal, outlier screening, and averaging, the efficiency and accuracy of data analysis will be greatly improved;

[0049] The pre-processed electricity bill receipt data is used to analyze the scale and duration of electricity bill receipt;

[0050] Select several electricity bill payment channels whose proportion of electricity bill payment is greater than the threshold, and analyze the electricity bill payment bottlenecks through their electricity bill payment time. Specifically, in this embodiment, four banks and one online channel with a relatively large proportion of electricity bill funds are selected as typical cases for the time analysis of business process links, and sort out the electricity bill payment channels. 1 , user payment, fund release, fund arrival, marketing system flow receipt, secondary sales, and the average time of the six key links, to find the lagging factors that increase the process time;

[0051] Optimization measures are recommended based on the analysis results of the bottlenecks in electricity bill payment. Specifically, in this embodiment, the user payment link, fund release link, and fund payment link are targeted as problem links for targeted analysis, and measures are recommended from the aspects of system, business, and personnel quality.

[0052] As a preferred implementation of this embodiment, the steps for analyzing the regularity of the electricity fee payment scale and the electricity fee payment time are as follows:

[0053] Based on the pre-processed electricity bill receipt data, the hierarchical analysis method is used to take the electricity bill receipt law as the target layer, and the electricity bill receipt scale and electricity bill receipt time as the first-level criterion layer;

[0054] Based on the pre-processed electricity bill data, each first-level criterion layer is subdivided into multiple second-level criterion layers, and each second-level criterion layer is subdivided into multiple third-level criterion layers;

[0055] Build targeted solutions based on the subdivided three-level criteria layer to form a solution layer;

[0056] Obtain the priority weight of each element at each level to the elements at the previous level, and finally use the weighted sum method to recursively merge the final weights of each alternative plan to the overall goal. The one with the largest final weight is the optimal plan.

[0057] As a preferred implementation of this embodiment, the secondary criteria layer of the electricity fee payment scale includes: the amount of electricity fee payment, the regular characteristics of the electricity fee payment time, the user payment method and the electricity fee payment channel;

[0058] In this embodiment, the steps of analyzing the amount of electricity bills received are: breaking down the amount of electricity bills received from several aspects such as region, power supply company, and user type, outlining user portraits and implementing classification, extracting the differences in the characteristics of electricity bill fund income of different types of customers, and comprehensively analyzing the current scale of electricity bill funds received by the company across the province;

[0059] The steps for analyzing the regularity and characteristics of the time when electricity bills are received are as follows: based on the two important basic data of the amount of receipt and the number of receipts, combined with the characteristic values ​​of user type, regional distribution, etc., the trend of electricity bill changes within the year, month, and holidays is analyzed to summarize the regularity of the time when electricity bills are received;

[0060] The analysis steps of user payment methods are as follows: based on the two basic data of the amount of money received and the number of transactions received, the user type and payment method are combined to comprehensively analyze the user's payment preference;

[0061] The analysis steps for the channels for electricity bill funds to arrive are as follows: based on the amount received and the number of receipts, typical channels are selected as the objects for full-process duration analysis, and the average time for each link is analyzed from the issuance of electricity bills, primary settlement, account release, funds arrival, marketing system fund flow reception, and secondary settlement of the entire process. The factors affecting the bottlenecks in the lagging links are deeply explored, and targeted solutions are conceived based on the scenario differences between different processes.

[0062] As a preferred implementation of this embodiment, the secondary criteria layer of the electricity fee arrival time includes: the whole process time, the arrival time of each user type, the arrival time of each payment channel and the whole process time of each payment method;

[0063] In this embodiment, the steps for analyzing the duration of the entire process are: starting from the time of issuing the electricity bill and ending at the time of the second cancellation, the average duration of the electricity bill funds arriving in the account of all users, all payment channels, and all payment methods in the province is counted;

[0064] The analysis steps for the time it takes for each user type to receive funds are as follows: starting from the time of issuing the electricity bill and ending at the time of the second cancellation, the average time it takes for the electricity bill funds to be received by low-voltage residential users, low-voltage non-residential users, and high-voltage users in the province is calculated;

[0065] The analysis steps for the time it takes for each payment channel to arrive are as follows: starting from the time of issuing the electricity bill and ending at the time of the second cancellation, the average time it takes for electricity bill funds to arrive through the five major channels of Industrial and Commercial Bank of China, China Everbright Bank, China Construction Bank, Bank of China, and Dian E Bao in the province is calculated;

[0066] The analysis steps for the full process duration of each payment method are as follows: analysis of the time it takes for each payment method to arrive in the account, with the time of issuing the electricity bill as the starting point and the time of the second cancellation as the end point, and statistics on the average time it takes for electricity bill funds to arrive in the account for the four major payment methods: collection within the province, deduction, active transfer, and cash payment.

[0067] In this embodiment, an analysis is conducted based on the overall situation of funds arrival, and data from August 2022 to August 2023 are extracted. Starting from the three dimensions of the amount of funds received, the time characteristics, and the payment method, a comprehensive analysis of the current status of electricity bill funds arrival is carried out. From the perspective of the amount of funds received, City A (42.441 billion yuan, 74.44 million transactions), City B (41.069 billion yuan, 67.75 million transactions), and City C (25.172 billion yuan, 27.56 million transactions) rank relatively high in terms of the scale of electricity bill funds arrival, but the average amount of electricity bills received in City A is much lower than that in other cities, indicating that the users of electricity bill funds in City A are mainly small and micro enterprises developing light industries; from the perspective of time characteristics, the time of arrival of electricity bill funds for high-voltage users is mainly concentrated in the period from March to November, and the monthly period is mainly concentrated in the middle and end of the month. Combined with the production characteristics and management characteristics of high-voltage users, there are 3 electricity bills arriving in each year. -November is the peak production period for enterprises, so the overall electricity consumption level is relatively high. However, when managing funds, enterprises tend to delay payment within the specified time to obtain a larger cash flow, which affects the time when the electricity bill arrives. From the payment method point of view, although the total amount and the total number of payments under the two payment methods of collection (105.7 billion yuan, 280 million transactions) and deduction (82 billion yuan, 65.14 million transactions) are quite different, the scale of electricity bill funds arriving for high-voltage users is similar. Therefore, it can be inferred that high-voltage users do not have a clear tendency in choosing the payment method, but low-voltage users are obviously more inclined to adopt the collection method.

[0068] As a preferred implementation of this embodiment, the three-level criteria layer of the electricity fee payment scale includes the following table:

[0069]

[0070]

[0071] As a preferred implementation of this embodiment, the three-level criteria for the time period of electricity bill receipt are specifically shown in the following table:

[0072]

[0073]

[0074] Based on the scale of electricity bill funds received through various payment channels, the 2022 full-year data of five channels, namely, Dian E Bao, Industrial and Commercial Bank of China, Everbright Bank, China Construction Bank, and Bank of China, were selected to analyze the time taken by typical channels for the payment process. Each channel link can be summarized into six steps: electricity bill issuance, user payment (one-time cancellation), account release, funds arrival, marketing system fund flow reception, and secondary cancellation, with a total of five links for time analysis.

[0075] Based on the above rules, we analyze the typical bottlenecks of funds arriving through online channels:

[0076] (1) Analysis of the duration of each link of Dian E Bao

[0077] It takes an average of 8.98 days from electricity bill payment to the first settlement, 1.12 days from the first settlement to account release, and 1.38 days from the funds received to the marketing system flow receipt, all of which are obviously abnormal. Dian E Bao includes two payment methods: collection and deduction. Among them, the average collection time in the first settlement (including the user's payment time) is 9.28 days, and the average deduction time is 8.68 days, indicating that under the collection method, the probability of delayed payment by users is higher and the electricity bill payment time is longer; the average time of the deduction method in the release stage is similar to the average time of the collection stage, and the average time of the two forms of fund flow receipt is basically the same, indicating that this type of link is mainly affected by the system process processing efficiency and is not too much interfered by other factors.

[0078] (2) Analysis of the duration of the entire process in each industry

[0079] The average time taken for one-time settlement (including user payment) in most industries is about 5 days. The average time taken for one-time settlement in some industries, such as construction, wholesale and retail, real estate, and public services, is about 7 days. This shows that these industries are not enthusiastic enough about the receipt of electricity bills. Power companies can pay special attention to the situation of these industries when managing the one-time settlement of electricity bill funds.

[0080] (3) Analysis of the duration of the entire process for high-voltage users

[0081] For 99% of users, the entire process takes less than 20 days, for about 0.46‰ users, the entire process takes more than 30 days, and for about 0.21‰ users, the entire process takes more than 50 days.

[0082] Based on the above rules, we analyze the bottlenecks of funds arriving through typical regional channels:

[0083] Combined with the current status of the 24 channels surveyed, it was found that the XX region has the characteristics of large scale of electricity bill funds received, large number of users, and strong local characteristics of the payment channels. At the same time, during the survey, some channels in the XX region have a long overall business process time, so three high-voltage users of the three channels with strong local characteristics, XX Gongwutong, XX UnionPay, and XX Bank, were selected to analyze the blockage points of funds received.

[0084] The average time for the whole process for XX public service high-voltage users is 7.49 days, the average time for the whole process for XX UnionPay high-voltage users is 8.61 days (the average time for the whole process of deduction is 5.25 days, and the average time for the whole process of collection is 13.23 days), and the whole process of XX Bank is 2.25 days.

[0085] There are obvious abnormalities in the time of primary and secondary root cancellation. Among them, the collection method of XX UnionPay high-voltage users takes an average of 8.61 days for the primary root cancellation, and the deduction method of XX Gongwutong high-voltage users takes an average of 4.29 days for the primary root cancellation, which is an important link that directly leads to the increase in average time; the secondary root cancellation of XX UnionPay takes an average of 1.9 days, which is much higher than the time taken by XX Gongwutong and XX Bank. This is mainly due to the difference between XX UnionPay and other bank remittance methods. XX UnionPay adopts a two-to-two remittance form. The secondary root cancellation needs to wait for the two remittances to arrive before it can start, so the overall time consumption has increased.

[0086] The time it takes for funds from XX Public Service Channel to arrive is much longer than that from XX UnionPay and XX Bank. Considering the timeliness of this channel in pushing funds to Power XX, it is recommended to strengthen communication with the channel party and shorten the time of each link within a reasonable range.

[0087] In view of the problems at the system, management and business levels reflected in the three links of one-time root cancellation (including the time for user payment), fund release and fund arrival, optimization measures are proposed from five aspects: real-time system connection, consistent billing requirements, timely bank payment, user payment control and personnel work efficiency, so as to shorten the time of the whole process of electricity bill arrival and assist in better fund scheduling management. Specifically:

[0088] 1. Deepen the integration of marketing and financial systems

[0089] At present, the power grid company's electricity bill account management covers two major parts: receivable electricity bill business and actual electricity bill business, which are calculated by the marketing control system and the financial management system respectively. The marketing department is responsible for the task of recovering electricity bills from each user, and the financial department is responsible for the receipt and transfer management of electricity bills. Due to different management calibers, the two have different requirements for electricity bill fund management. Although the current finance and marketing are gradually promoting the integrated management of marketing and finance, the real-time intercommunication of system functions has not yet been completed. Therefore, in order to strengthen the integrated management of marketing and finance and improve the coordination ability of departments, it is necessary to establish an integrated operation system of marketing and finance, promote the real-time construction of relevant functional information, and strengthen the communication between the two in business management, so that when system abnormalities occur, business flow notifications can be pushed manually to meet the timeliness requirements of electricity bill receipt. At the same time, promote the construction of business process integration of the business and financial system, gradually build abnormal monitoring of key link nodes, and give real-time alarms when the function notification push is abnormal, so as to achieve the high efficiency of the flow of relevant business process information such as electricity bill receipt and write-off between departments.

[0090] 2. Additional requirements for bank transfers at designated locations and fixed amounts

[0091] At present, the payment method of electricity bills is mainly bank collection and deduction, and high-voltage users, as the main electricity consumers, mostly pay electricity bills in the form of bank collection. Therefore, the time for the arrival of electricity bill funds is mainly controlled by banks, and power grid companies are mostly passive in the collection of electricity bills. However, as the third largest company in the Fortune 500, the power grid company is a very important cooperative customer of the bank and should take the initiative in many cooperative businesses. In the electricity bill collection business, the power grid company can increase the bank's fixed-point and fixed-amount transfer to the account by signing an agreement with the bank. Fixed-point transfer mainly limits the bank transfer time. Given that the company's marketing and financial budget allocation work is mainly carried out after 9:30 on working days, the bank can be required to transfer the previous day's electricity bill at 9:00 am every working day; the fixed amount mainly limits the transfer limit. As a supplementary requirement for bank fixed-point transfer, after the bank transfers and pays at 9:00 every day, if the electricity bill funds collected before 17:00 on the same day reach the limit, the second transfer payment will be opened. Therefore, by signing a fixed-point and fixed-amount transfer requirement with the bank, the arrival of electricity bill funds can be further accelerated.

[0092] 3. Unify the information push standards of major channels

[0093] Rules and regulations are the basis and prerequisite for the smooth progress of electricity bill fund management. In the whole process of electricity bill funds arriving, the first and second settlement stages require a large number of electricity bills to be compared for consistency of documents and details. However, due to the large number of payment channels and different control requirements of each channel, the formats of bills and flow sheets are diverse, which is not conducive to the efficient comparison of accounts and consistency between units within the power company, thus affecting the overall process time. Therefore, it is recommended that the power company take the lead in unifying the flow sheets and bill formats, requiring each channel to push electricity bill arrival document information according to unified standards, and clarifying the necessary fields in the pushed documents, so that company employees can efficiently carry out account consistency verification work. At the same time, after completing the source push information consistency control requirements, the unified template can be solidified into the information system, and the system will perform a primary verification and manual secondary confirmation, so as to improve the overall process flow efficiency with the help of information technology.

[0094] 4. Strengthen the source management of user electricity fee recovery

[0095] As an important factor affecting the timeliness of electricity bills, whether customers pay their electricity bills on time must be taken seriously by the marketing department. First, starting from the user side, use relevant content to promote and strengthen users' sense of responsibility for electricity bill payment, pay attention to the payment rules of large-volume users and users who pay electricity bills abnormally, and when necessary, cut off the power supply to users who maliciously default or refuse to pay electricity bills. At the same time, sign electricity use agreements based on the overall credit of users, and try to prevent the delay and arrears of electricity bills from the source of users; second, starting from internal management, the charging personnel and management personnel implement a hierarchical control and step-by-step responsibility mechanism, consider refining the performance appraisal mechanism of front-line electricity bill collection personnel, link the electricity bill collection rate in the personnel area with the employee performance appraisal, strengthen the staff's sense of responsibility for electricity bill collection, and carry out work for each customer in accordance with the "principle of monthly payment", and complete the tasks of paying all due and urging payment to the maximum extent, so as to achieve all-round internal control and improvement of XX.

[0096] 5. Strengthen the professional quality training of front-line personnel

[0097] We attach great importance to the training of electricity bill fund management personnel, and carry out special training on the staff's business quality and operational skills in light of the actual electricity bill management work, to ensure that the relevant personnel in each electricity bill management are proficient in the electronic electricity bill accounting technology and the relevant processes of electricity bill management. At the same time, we increase efforts to introduce computer professional and technical talents, enrich the team's talent pool, and use information technology and high-quality talents to speed up the circulation of electricity bill receipt business links.

[0098] Embodiment 2:

[0099] A system for optimizing the time length of electricity fee funds arriving at an account, comprising a data acquisition module, an electricity fee arrival rule analysis module, an electricity fee arrival blockage analysis module, and an optimization module;

[0100] The data acquisition module is used to collect electricity fee receipt data and pre-process the data;

[0101] The electricity fee payment rule analysis module is used to analyze the rules of the electricity fee payment scale and the electricity fee payment time through the pre-processed electricity fee payment data;

[0102] The electricity fee payment blockage analysis module is used to select several electricity fee payment channels whose proportion of electricity fee payment is greater than a threshold, and analyze the electricity fee payment blockage according to the electricity fee payment time.

[0103] The optimization module is used to formulate optimization measures suggestions based on the analysis results of the electricity fee collection bottlenecks.

[0104] The system is used to implement the method in Example 1, which will not be described in detail here.

[0105] Embodiment three:

[0106] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0107] Embodiment 4:

[0108] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in any embodiment of the present invention is implemented.

[0109] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0110] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0111] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0112] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0113] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for optimizing the time it takes for electricity bill funds to arrive, characterized in that: The following steps are involved: Collect electricity bill receipt data and pre-process the data; The pre-processed electricity bill receipt data is used to analyze the scale and duration of electricity bill receipt; Select several electricity bill payment channels whose proportion of electricity bill payment is greater than the threshold, and analyze the electricity bill payment bottlenecks based on their electricity bill payment time. Formulate optimization measures based on the analysis results of electricity bill payment bottlenecks.

2. A method for optimizing the time duration of electricity fee funds arriving at an account according to claim 1, characterized in that: The steps for analyzing the regularity of the electricity fee payment scale and the electricity fee payment time are as follows: Based on the pre-processed electricity bill receipt data, the hierarchical analysis method is used to take the electricity bill receipt law as the target layer, and the electricity bill receipt scale and electricity bill receipt time as the first-level criterion layer; Based on the pre-processed electricity bill data, each first-level criterion layer is subdivided into multiple second-level criterion layers, and each second-level criterion layer is subdivided into multiple third-level criterion layers; Build targeted solutions based on the subdivided three-level criteria layer to form a solution layer; Obtain the priority weight of each element at each level to the elements at the previous level, and finally use the weighted sum method to recursively merge the final weights of each alternative plan to the overall goal. The one with the largest final weight is the optimal plan.

3. A method for optimizing the time duration of electricity fee funds arriving at an account according to claim 2, characterized in that: The secondary criteria layer of the electricity bill payment scale includes: the amount of electricity bill payment, the regular characteristics of the electricity bill payment time, the user payment method and the electricity bill payment channel.

4. A method for optimizing the time duration of electricity fee funds arriving at an account according to claim 2, characterized in that: The secondary criteria layer of the electricity bill arrival time includes: the whole process time, the arrival time of each user type, the arrival time of each payment channel and the whole process time of each payment method.

5. A method for optimizing the time duration of electricity fee funds arriving at an account according to claim 3, characterized in that: The three-level criteria for the amount of electricity bills received include: analysis of the amount of bills received in the province, analysis of the average amount of bills received in each region, analysis of the amount of bills received by each type of user, and analysis of the amount of bills received by each power supply company; The three-level criteria layer of the regular characteristics of the time of electricity bill arrival includes: overall electricity bill arrival scale trend analysis, electricity bill arrival scale trend analysis for each user type, electricity bill arrival scale trend analysis for each industry high-voltage user, overall electricity bill arrival scale monthly trend analysis, electricity bill arrival scale monthly trend analysis for each user type, electricity bill arrival scale monthly trend analysis for each industry high-voltage user, electricity bill arrival fund arrival analysis for cities and prefectures on holidays, and weekly situation analysis for electricity bill arrival scale for each industry; The three-level criteria layer of the user payment method includes: analysis of the payment method of electricity fee funds for each user type, analysis of the payment method of electricity fee funds for each channel, and detailed analysis of electricity fee funds for high-voltage users; The three-level criteria layer of the electricity bill funds arrival channels include: the distribution of the scale of electricity bill funds arrival in each channel, the analysis of electricity bill funds arrival in each city channel, and the analysis of the preference of electricity bill funds arrival channels for each user type.

6. A method for optimizing the time duration of electricity fee funds arriving at an account according to claim 4, characterized in that: The three-level criterion layer of the whole process duration includes: whole process duration analysis; The three-level criteria layer of the full process duration of each user type includes: full process duration analysis of low-voltage residential users, full process duration analysis of low-voltage non-residential users, and full process duration analysis of high-voltage users; The three-level criteria for the entire process time of each payment channel include: analysis of the time it takes to reach the account at each bank and analysis of the time it takes to reach the account via Dian E Bao; The three-level criteria for the entire process time of each payment method include: analysis of the time it takes to arrive through collection channels, analysis of the time it takes to arrive through deduction channels, analysis of the time it takes to arrive through cash payments, and analysis of the time it takes to arrive through active transfers.

7. A system for optimizing the time it takes for electricity bills to arrive, characterized in that: It includes data collection module, electricity bill payment rule analysis module, electricity bill payment bottleneck analysis module and optimization module; The data acquisition module is used to collect electricity fee receipt data and pre-process the data; The electricity fee payment rule analysis module is used to analyze the rules of the electricity fee payment scale and the electricity fee payment time through the pre-processed electricity fee payment data; The electricity fee payment blockage analysis module is used to select several electricity fee payment channels whose proportion of electricity fee payment is greater than a threshold, and analyze the electricity fee payment blockage according to the electricity fee payment time. The optimization module is used to formulate optimization measures suggestions based on the analysis results of the electricity fee collection bottlenecks.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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