A method for optimizing the time it takes for electricity bills to arrive

Abstract

This invention relates to a method for optimizing the time it takes for electricity bill payments to arrive, comprising the following steps: collecting electricity bill payment data and preprocessing the data; analyzing the patterns of electricity bill payment scale and payment time based on the preprocessed electricity bill payment data; selecting several electricity bill payment channels with a proportion of payment scale exceeding a threshold, and analyzing the bottlenecks in electricity bill payment based on their payment time; formulating optimization measures suggestions based on the results of the electricity bill payment bottleneck analysis; this invention analyzes the patterns of four aspects—payment scale, time characteristics, payment method, and payment channel—based on the overall situation of electricity bill payments, analyzes common bottlenecks in electricity bill payment, and provides corresponding optimization solutions for different bottlenecks, thereby optimizing the time it takes for electricity bill payments to arrive.

Description

Technical Field

[0001] This invention relates to a method for optimizing the time it takes for electricity bill payments to be credited to accounts, within the field of power economics and technology. Background Technology

[0002] With the rapid development of economic and social informatization and digitalization, and the deepening of power system reform, power companies have increasingly higher demands for lean and high-quality fund management. Under the current electricity bill management model, the timing of electricity bill revenue collection is uncontrollable and highly volatile, significantly impacting fund control. Electricity bill revenue scenarios are diverse; different types of customers, payment channels, and payment methods can create various scenarios. The existing system cannot analyze the influencing factors of electricity bill revenue in typical scenarios, making lean fund management impossible. The multiple channels for electricity bill payments mean the existing system cannot control the arrival time of each payment channel, thus failing to capture patterns in electricity bill revenue and negatively impacting lean fund management and precise time control. The numerous factors affecting electricity bill collection time, combined with different payment channels, customer types, and payment methods, can lead to various unforeseen circumstances. The existing system cannot cope with uncontrollable emergencies, thus failing to accurately predict electricity bill revenue.

[0003] Electricity fees are a major source of revenue for the power grid, and the accuracy of their management directly affects the grid's financial security and production operations. With new changes in the power grid's operating environment, new trends in the digital revolution, and new strategic requirements, new demands have been placed on the accurate management of electricity fees. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention proposes a method for optimizing the time it takes for electricity payment 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 it takes for electricity bill payments to arrive, including the following steps:

[0007] Collect electricity bill payment data and preprocess the data;

[0008] We analyze the patterns in the scale and duration of electricity bill payments by examining the preprocessed electricity bill payment data.

[0009] We selected several electricity bill payment channels with a proportion of electricity bill payments exceeding a threshold and analyzed the bottlenecks in electricity bill payment based on their payment processing time.

[0010] Based on the analysis of bottlenecks in electricity bill payment, optimization measures and suggestions were formulated.

[0011] In a preferred embodiment of the present invention, the steps for analyzing the patterns of electricity bill receipt amounts and receipt times are as follows:

[0012] Based on the preprocessed electricity bill receipt data, the Analytic Hierarchy Process (AHP) is used to take the electricity bill receipt pattern as the target layer and the electricity bill receipt scale and receipt time as the first-level criteria layer.

[0013] Based on the preprocessed electricity bill payment data, each primary criterion layer is further subdivided into multiple secondary criterion layers, and each secondary criterion layer is further subdivided into multiple tertiary criterion layers;

[0014] Based on the subdivided three-level criteria layer, targeted solutions are constructed to form the solution layer;

[0015] The optimal solution is determined by calculating the priority weight of each element at each level relative to the element at the previous level, and then weighting and summing the results.

[0016] As a preferred embodiment of the present invention, the secondary criteria layer for the scale of electricity bill receipts includes: the amount of electricity bills received, the regularity of electricity bill receipt time, the user's payment method, and the channel through which electricity bill funds are received.

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

[0018] As a preferred embodiment of the present invention, the three-level criteria for the amount of electricity bills received include: analysis of the scale of the amount received across the province, analysis of the average amount received per transaction in each region, analysis of the scale of the amount received by each type of user, and analysis of the scale of the amount received by each power supply company.

[0019] The three-level criteria for the regularity of electricity bill payment time include: overall electricity bill payment trend analysis, electricity bill payment trend analysis for each user type, electricity bill payment trend analysis for each industry's high-voltage user, overall electricity bill payment monthly trend analysis, electricity bill payment monthly trend analysis for each user type, electricity bill payment monthly trend analysis for each industry's high-voltage user, electricity bill payment during city holidays, and electricity bill payment weekly analysis for each industry.

[0020] The three-tiered criteria for user payment methods include: analysis of electricity payment methods for each user type, analysis of electricity payment methods for each channel, and detailed analysis of electricity payment details for high-voltage users.

[0021] The three-tiered criteria for electricity bill payment channels include: distribution of electricity bill payment volume across channels, analysis of electricity bill payment volume across cities, and analysis of user type preferences for electricity bill payment channels.

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

[0023] The three-level criteria for the total process duration of each user type include: analysis of the total process duration of low-voltage residential users, analysis of the total process duration of low-voltage non-residential users, and analysis of the total process duration of high-voltage users.

[0024] The three-tiered criteria for the total processing time of each payment channel include: analysis of bank payment arrival time and analysis of ePay payment arrival time.

[0025] The three-tiered criteria for the total processing time of each payment method include: analysis of the processing time for direct debit, analysis of the processing time for cash payments, and analysis of the processing time for proactive transfers.

[0026] On the other hand, the present invention also provides a system for optimizing the time it takes for electricity bill funds to arrive, including a data acquisition module, an electricity bill arrival pattern analysis module, an electricity bill arrival bottleneck analysis module, and an optimization module;

[0027] The data acquisition module is used to collect electricity bill payment data and preprocess the data;

[0028] The electricity bill payment pattern analysis module is used to analyze the patterns of electricity bill payment scale and payment time through preprocessed electricity bill payment data;

[0029] The electricity bill payment bottleneck analysis module is used to select several electricity bill payment channels whose electricity bill payment volume accounts for a greater than a threshold, and to analyze the bottlenecks in electricity bill payment based on their electricity bill payment time.

[0030] The optimization module is used to formulate optimization measures based on the analysis results of the bottlenecks in electricity bill payment.

[0031] In another aspect, the present invention also 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 executes the program to implement the method as described in any embodiment of the present invention.

[0032] In another aspect, the present invention also 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. This invention analyzes the overall situation of electricity payment receipts, examining the patterns in four aspects: the scale of funds received, time characteristics, payment methods, and payment channels. Based on these patterns, it identifies common bottlenecks in electricity payment receipts and provides corresponding optimization solutions for different bottlenecks, thereby optimizing the time required for electricity payment receipts. Attached Figure Description

[0035] Figure 1 This is a flowchart of the method of the present invention;

[0036] Figure 2 This is a schematic diagram of the overall structure of the present invention;

[0037] Figure 3 This is a schematic diagram illustrating the hierarchical scale of electricity bill payments received according to the present invention;

[0038] Figure 4 This is a schematic diagram illustrating the time frame for electricity bill payment arrival according to the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

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

[0042] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

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

[0044] Example 1:

[0045] See Figure 1 A method for optimizing the time it takes for electricity bill payments to arrive includes the following steps:

[0046] Collect electricity bill payment data and preprocess the data;

[0047] In this embodiment, the electricity bill payment data includes several important fields such as the amount, number of transactions, and payment time of electricity bill payments within a fixed time period. The required core fields are sorted into a data requirement 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 user data from the five major channels uses the whole year of 2022 as the data analysis period. The second batch of data on the amount and number of electricity bill payments received from all channels uses August 2022 to August 2023 as the analysis period. The third batch of detailed data on high-voltage users (including user industries) from various channels uses January 2023 to August 2023 as the analysis period.

[0048] The extracted data is then preprocessed, including data transformation, feature extraction, and dimensionality reduction. After removing null values, screening outliers, and averaging the data from the three batches, the efficiency and accuracy of the data analysis will be greatly improved.

[0049] We analyze the patterns in the scale and duration of electricity bill payments by examining the preprocessed electricity bill payment data.

[0050] This study selects several electricity payment channels with a proportion of payments exceeding a threshold and analyzes the bottlenecks in electricity payment processing based on their payment processing time. Specifically, in this embodiment, four banks with a large proportion of electricity payment funds and one online channel are selected as typical cases for business process time analysis to examine the electricity payment issuance process. 1 The average time taken for six key steps—user payment, fund disbursement, fund arrival, marketing system transaction receipt, and secondary sales—was analyzed to identify the lag factors that increase the process duration.

[0051] Based on the analysis of bottlenecks in electricity bill payment, optimization measures are proposed. Specifically, in this embodiment, the user payment process, fund disbursement process, and fund arrival process are identified as problem areas for targeted analysis, and measures are proposed from the perspectives of system, business, and personnel quality.

[0052] In a preferred embodiment of this invention, the steps for analyzing the patterns of electricity bill receipt amounts and receipt times are as follows:

[0053] Based on the preprocessed electricity bill receipt data, the Analytic Hierarchy Process (AHP) is used to take the electricity bill receipt pattern as the target layer and the electricity bill receipt scale and receipt time as the first-level criteria layer.

[0054] Based on the preprocessed electricity bill payment data, each primary criterion layer is further subdivided into multiple secondary criterion layers, and each secondary criterion layer is further subdivided into multiple tertiary criterion layers;

[0055] Based on the subdivided three-level criteria layer, targeted solutions are constructed to form the solution layer;

[0056] The optimal solution is determined by calculating the priority weight of each element at each level relative to the element at the previous level, and then weighting and summing the results.

[0057] As a preferred embodiment of this example, the secondary criteria layer for the scale of electricity bill receipts includes: the amount of electricity bill receipts, the regularity of electricity bill receipt times, the user's payment method, and the channel through which electricity bill funds are received.

[0058] In this embodiment, the steps for analyzing the amount of electricity bills received are as follows: the amount of bills received is broken down from several aspects such as region, power supply company, and user type, user profiles are drawn and classified, the differences in the characteristics of electricity bill revenue of different types of customers are extracted, and the current scale of electricity bill revenue received by the company across the province is comprehensively analyzed.

[0059] The steps for analyzing the patterns of electricity bill arrival times are as follows: Based on two important basic data points, the amount of electricity bills received and the number of transactions received, combined with characteristic values ​​such as user type and regional distribution, the changes in electricity bill funds within the year, month, and holidays are analyzed to summarize the patterns of electricity bill arrival times.

[0060] The steps for analyzing user payment methods are as follows: Based on two fundamental data points, the amount received and the number of transactions, user type is combined with payment method to comprehensively analyze user payment preferences.

[0061] The analysis steps for electricity bill payment channels are as follows: Based on the amount and number of payments received, typical channels are selected as the objects of full-process time analysis. The average time of each link in the full process is analyzed from electricity bill issuance, first-time cancellation, account payment, fund arrival, receipt of funds in the marketing system, and second-time cancellation. The bottlenecks and influencing factors of lagging links are explored in depth. Based on the scenario differences between different processes, targeted solutions are devised.

[0062] As a preferred embodiment of this example, the secondary criterion layer for the electricity bill arrival time includes: the total process time, the arrival time for each user type, the arrival time for each payment channel, and the total process time for each payment method.

[0063] In this embodiment, the steps for analyzing the entire process duration are as follows: starting from the time of issuing the electricity bill and ending at the time of the second cancellation, the average time for electricity bill funds to arrive for all users, all payment channels, and all payment methods within the province is calculated.

[0064] The analysis steps for the arrival time of funds for each user type are as follows: taking the time of issuing electricity bills as the starting point and the time of secondary cancellation as the ending point, the average arrival time of electricity bill funds for low-voltage residential users, low-voltage non-residential users, and high-voltage users in the province is statistically analyzed.

[0065] The analysis steps for the arrival time of payment through various channels are as follows: taking the time of issuing the electricity bill as the starting point and the time of the second cancellation as the ending point, the average arrival time of electricity payment funds through the five major channels of Industrial and Commercial Bank of China, China Everbright Bank, China Construction Bank, Bank of China, and e-Pay within the province is statistically analyzed.

[0066] The analysis steps for the entire process of each payment method are as follows: The analysis of the arrival time of each payment method starts from the time of issuing the electricity bill and ends at the time of the second cancellation, and calculates the average arrival time of electricity funds for the four major payment methods in the province: collection on behalf, deduction on behalf, active transfer, and cash payment.

[0067] In this embodiment, an analysis is conducted based on the overall situation of funds received. Data from August 2022 to August 2023 is extracted, and the current status of electricity bill fund receipts is comprehensively analyzed from three dimensions: amount received, time characteristics, and payment method. In terms of the amount 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 fund receipts. However, the average amount of electricity bills received per transaction in City A is much lower than in other cities, indicating that the electricity bill fund users in City A are mainly small and micro enterprises developing light industry. In terms of time characteristics, the receipt time for electricity bills for high-voltage users is mainly concentrated between March and November, with the monthly receipts concentrated in the middle and end of the month. Combined with the production and management characteristics of high-voltage users, the annual receipt time is generally concentrated between March and November. November is the peak production season for enterprises, resulting in higher overall electricity consumption. However, enterprises tend to delay payments within the stipulated time to obtain greater cash flow, thus affecting the arrival time of electricity bills. In terms of payment methods, although the total amount and number of transactions differ significantly between collection (105.7 billion yuan, 280 million transactions) and deduction (82 billion yuan, 65.14 million transactions), the scale of electricity bill funds received is similar for high-voltage users. Therefore, it can be inferred that high-voltage users do not have a significant preference in choosing payment methods, but low-voltage users clearly prefer collection.

[0068] As a preferred embodiment of this practice, the three-tiered criteria for determining the amount of electricity bill payment received are specifically shown in the table below:

[0069]

[0070]

[0071] As a preferred embodiment of this practice, the three-level criterion layer for electricity bill payment arrival time is specifically shown in the following table:

[0072]

[0073]

[0074] Based on the scale of electricity bill payments received through various payment channels, we selected data from five channels—Electric e-Pay, ICBC, China Everbright Bank, China Construction Bank, and Bank of China—for a full-year analysis of the payment process time for typical channels. The process for each channel can be summarized into six steps: electricity bill issuance, user payment (first-time cancellation), account remittance, fund arrival, receipt of funds in the marketing system, and second-time cancellation. This analysis covers the time required for a total of five steps.

[0075] Based on the above patterns, we analyze the typical bottlenecks in online fund transfers:

[0076] (1) Analysis of the duration of each step of the e-Power app

[0077] The average time from electricity bill issuance to the first payment cancellation stage was 8.98 days, the average time from the first payment cancellation stage to account settlement was 1.12 days, and the average time from fund arrival to receipt in the marketing system was 1.38 days, all showing significant anomalies. Electricity e-Pay includes two payment methods: direct debit and collection. In the first payment cancellation stage (including user payment duration), direct debit averaged 9.28 days, and collection averaged 8.68 days, indicating that direct debit has a higher probability of delayed payments and longer payment times. The average time for collection via collection was similar to that of direct debit, while the average time for receiving funds in the account was roughly the same for both methods, indicating that these stages were mainly affected by system process efficiency and not significantly influenced by other factors.

[0078] (2) Time analysis of the entire process in various industries

[0079] In most industries, the average time for the first-time payment settlement process (including user payment) is about 5 days. In some industries, such as construction, wholesale and retail, real estate, and public services, the average time is about 7 days. This indicates that these industries are not proactive enough in receiving electricity payments. Power companies should pay close attention to the situation of these industries when managing the first-time payment settlement of electricity fees.

[0080] (3) Full process duration analysis of high voltage users

[0081] 99% of users had a total process time of less than 20 days, approximately 0.46‰ of users had a total process time of more than 30 days, and approximately 0.21‰ of users had a total process time of more than 50 days.

[0082] Based on the above patterns, an analysis of typical regional bottlenecks in fund arrival channels is conducted:

[0083] Based on the survey of 24 channels, it was found that the XX region is characterized by large-scale electricity bill payments, a large number of users, and strong local characteristics of the payment channels. Meanwhile, during the survey, some channels in the XX region exhibited relatively long overall processing times. Therefore, three channels with strong local characteristics—XX Government Service Platform, XX UnionPay, and XX Bank—were selected to analyze bottlenecks in the payment process for high-voltage users.

[0084] The average time for the entire process of XX Government's high-voltage users was 7.49 days; the average time for the entire process of XX UnionPay's high-voltage users was 8.61 days (the average time for direct debit was 5.25 days, and the average time for collection was 13.23 days); and the average time for the entire process of XX Bank was 2.25 days.

[0085] Significant anomalies were observed in the duration of the primary and secondary remittance processes. Specifically, for the XX UnionPay high-voltage user direct debit method, the primary remittance process took an average of 8.61 days, while for the XX Government Service high-voltage user direct debit method, it took an average of 4.29 days, directly contributing to the increased average duration. The secondary remittance process for XX UnionPay averaged 1.9 days, significantly longer than that for XX Government Service and XX Bank. This is primarily due to the difference in remittance methods between XX UnionPay and other banks; XX UnionPay uses a two-to-two split remittance method, requiring the secondary remittance process to wait for both remittances to arrive before commencing, thus increasing the overall processing time.

[0086] The time it takes for funds to arrive through XX Government Affairs Platform is much longer than that of XX UnionPay and XX Bank. Considering the timeliness of fund transfers to XX Power Company through this channel, it is recommended to strengthen communication with the channel provider and shorten the processing time within a reasonable range.

[0087] This paper addresses system-level, management-level, and business-level issues reflected in the three stages of electricity bill payment processing: bill cancellation (including user payment time), fund disbursement, and fund arrival. It proposes optimization measures in five aspects: real-time system connectivity, consistent billing requirements, timely bank payments, user payment management, and personnel efficiency. These measures aim to reduce the overall time required for electricity bill fund arrival and facilitate better fund allocation and management. Specifically:

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

[0089] Currently, the power grid company's electricity billing management covers two main parts: accounts receivable and actual electricity charges received, which are accounted for separately by the marketing control system and the financial management system. The marketing department is responsible for collecting electricity charges from each user, while the finance department is responsible for the receipt and allocation of electricity charges. Due to the different management perspectives, there are differences in the requirements for electricity charge fund management. Although finance and marketing are gradually moving towards integrated management, real-time interoperability of system functions has not yet been achieved. Therefore, to strengthen integrated management of marketing and finance and improve departmental collaboration, it is necessary to establish an integrated marketing and finance operation system, promote the real-time construction of relevant functional information, and strengthen communication between the two in business management. This would allow for manual notification of business processes in the event of system anomalies, meeting the timeliness requirements for electricity charge receipts. Simultaneously, it is necessary to promote the integration of business processes in the marketing and finance systems, gradually build anomaly monitoring for key nodes, and provide real-time alerts when functional notifications are abnormal, achieving efficient flow of information related to electricity charge receipts and reimbursements between departments.

[0090] 2. Supplement requirements for designated bank transfers and fixed-amount transfers.

[0091] Currently, electricity bill payments are primarily made through bank direct debit / collection. High-voltage users, who are the main consumers of electricity, mostly pay their bills through bank direct debit. Therefore, the arrival time of funds is largely controlled by banks, leaving power grid companies largely passive in bill collection. However, as the third-largest company in the Fortune Global 500, the power grid company is a crucial client of banks and should maintain a proactive advantage in various cooperative businesses. Regarding electricity bill collection, the power grid company can sign agreements with banks to allow for designated and fixed-amount bank transfers of electricity fees. Designated transfers primarily restrict the bank's transfer time. Given that the company's marketing and financial budget allocation work mainly takes place after 9:30 AM on weekdays, banks can be required to transfer and pay the previous day's electricity fees by 9:00 AM each weekday. Fixed-amount transfers primarily limit the transfer amount. As a supplement to designated bank transfers, if the amount of electricity fees collected before the end of the workday at 5:00 PM reaches the limit after the bank's daily 9:00 AM transfer, a second transfer will be initiated. This allows for faster receipt of electricity payment funds by signing agreements with banks for fixed-point and fixed-amount transfers.

[0092] 3. Standardize the information push standards across all major channels

[0093] Rules and regulations are the foundation and prerequisite for the smooth operation of electricity bill fund management. In the entire process of electricity bill fund receipt, the primary and secondary verification stages require the comparison of numerous electricity bills for consistency in terms of documents and details. However, currently, due to the numerous payment channels and varying control requirements across them, bill and transaction formats are diverse, hindering efficient comparison of accounts within the power company and thus affecting overall process time. Therefore, it is recommended that the power company take the lead in standardizing transaction and bill formats, requiring all channels to push electricity bill receipt information according to a unified standard, clearly defining the essential fields in the pushed documents, facilitating efficient account consistency verification by company employees. Furthermore, after fulfilling the consistency control requirements for information pushed at the source, a unified template can be integrated into the information system, allowing the system to perform a primary verification and manual secondary confirmation, thereby improving overall process efficiency through information technology.

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

[0095] As a crucial factor affecting the timeliness of electricity bill payments, timely customer payment must be given serious consideration by the marketing department. Firstly, from the user's perspective, relevant promotional materials should be used to strengthen users' awareness of their responsibility to pay electricity bills. Attention should be paid to the payment patterns of high-consumption users and those with unusual payment habits. If necessary, power outages can be taken against users who maliciously delay or refuse to pay. Electricity agreements should be signed based on the overall creditworthiness of users to prevent delayed or unpaid bills from the source. Secondly, from an internal management perspective, a hierarchical control and responsibility mechanism should be implemented for billing and management personnel. A detailed performance evaluation mechanism for frontline electricity bill collectors should be considered, linking the electricity bill collection rate within a personnel's area to their performance evaluation. This will strengthen personnel's awareness of their responsibility to collect electricity bills, and work should be carried out according to the "monthly payment principle" for each customer, maximizing the completion of all due payments and collection tasks, thereby achieving comprehensive improvement in internal management within XX.

[0096] 5. Strengthen the professional skills training of frontline staff

[0097] We attach great importance to the training of electricity fee management personnel. Based on the actual situation of electricity fee management, we conduct special training on the professional quality and operational skills of the staff to ensure that all relevant personnel in electricity fee management are proficient in electronic electricity fee accounting technology and related processes of electricity fee management. At the same time, we increase our efforts to introduce computer professionals to enrich the team and accelerate the flow of electricity fee payment through information technology and high-quality personnel.

[0098] Example 2:

[0099] A system for optimizing the time it takes for electricity bill payments to arrive includes a data acquisition module, an electricity bill payment pattern analysis module, an electricity bill payment bottleneck analysis module, and an optimization module.

[0100] The data acquisition module is used to collect electricity bill payment data and preprocess the data;

[0101] The electricity bill payment pattern analysis module is used to analyze the patterns of electricity bill payment scale and payment time through preprocessed electricity bill payment data;

[0102] The electricity bill payment bottleneck analysis module is used to select several electricity bill payment channels whose electricity bill payment volume accounts for a greater than a threshold, and to analyze the bottlenecks in electricity bill payment based on their electricity bill payment time.

[0103] The optimization module is used to formulate optimization measures based on the analysis results of the bottlenecks in electricity bill payment.

[0104] This system is used to implement the method in Embodiment 1, and will not be described in detail here.

[0105] Example 3:

[0106] This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the method described in any embodiment of the present invention.

[0107] Example 4:

[0108] This embodiment proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in any embodiment of the present invention.

[0109] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related 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 singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

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

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

[0112] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0113] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for optimizing the time it takes for electricity bill payments to arrive, characterized in that, Includes the following steps: Collect electricity bill payment data and preprocess the data; We analyze the patterns in the scale and duration of electricity bill payments by analyzing the preprocessed electricity bill payment data. We selected several electricity bill payment channels with a proportion of electricity bill payments exceeding a threshold and analyzed the bottlenecks in electricity bill payment based on their payment processing time. Based on the analysis of bottlenecks in electricity bill payment, suggestions for optimization measures were formulated. The steps for analyzing the patterns of electricity bill payment amounts and payment times are as follows: Based on the preprocessed electricity bill receipt data, the Analytic Hierarchy Process (AHP) is used to take the electricity bill receipt pattern as the target layer and the electricity bill receipt scale and electricity bill receipt time as the first-level criteria layer. Based on the preprocessed electricity bill payment data, each primary criterion layer is further subdivided into multiple secondary criterion layers, and each secondary criterion layer is further subdivided into multiple tertiary criterion layers; Based on the subdivided three-level criteria layer, targeted solutions are constructed to form the solution layer; The method of calculating the priority weight of each element at each level to the element at the previous level, and then weighting and summing the results, is used to hierarchically merge the alternative solutions at each level to the overall goal. The solution with the largest final weight is the optimal solution. The secondary criteria for the scale of electricity bill receipts include: the amount of electricity bills received, the time pattern of electricity bill receipts, the user's payment method, and the channel through which electricity bill funds are received; The secondary criteria for the electricity bill payment arrival time include: total process time, arrival time for each user type, arrival time for each payment channel, and total process time for each payment method. The three-tiered criteria for electricity bill payment receipts include: analysis of the total amount received across the province, analysis of the average amount received per transaction in each region, analysis of the amount received by each type of user, and analysis of the amount received by each power supply company. The three-level criteria for the regularity of electricity bill payment time include: overall electricity bill payment trend analysis, electricity bill payment trend analysis for each user type, electricity bill payment trend analysis for each industry's high-voltage user, overall electricity bill payment monthly trend analysis, electricity bill payment monthly trend analysis for each user type, electricity bill payment monthly trend analysis for each industry's high-voltage user, electricity bill payment during city holidays, and electricity bill payment weekly analysis for each industry. The three-tiered criteria for user payment methods include: analysis of electricity payment methods for each user type, analysis of electricity payment methods for each channel, and analysis of electricity payment details for high-voltage users. The three-tiered criteria for electricity bill payment channels include: distribution of electricity bill payment volume across channels, analysis of electricity bill payment volume across cities, and analysis of user type preferences for electricity bill payment channels.

2. The method for optimizing the time it takes for electricity payment to arrive, as described in claim 1, is characterized in that... The three-level criteria for the total process duration include: total process duration analysis; The three-tiered criteria for the total process duration of each user type include: analysis of the total process duration of low-voltage residential users, analysis of the total process duration of low-voltage non-residential users, and analysis of the total process duration of high-voltage users. The three-tiered criteria for the total processing time of each payment channel include: analysis of bank transfer arrival time and analysis of transfer arrival time via ePay. The three-tiered criteria for the total processing time of each payment method include: analysis of the processing time for direct debit, analysis of the processing time for cash payments, and analysis of the processing time for proactive transfers.

3. A system for optimizing the time it takes for electricity bill payments to arrive, characterized in that, The method used in any one of claims 1 to 2 includes a data acquisition module, an electricity bill payment pattern analysis module, an electricity bill payment bottleneck analysis module, and an optimization module; The data acquisition module is used to collect electricity bill payment data and preprocess the data; The electricity bill payment pattern analysis module is used to analyze the patterns of electricity bill payment scale and payment time through preprocessed electricity bill payment data; The electricity bill payment bottleneck analysis module is used to select several electricity bill payment channels whose electricity bill payment volume accounts for a greater than a threshold, and to analyze the bottlenecks in electricity bill payment based on their electricity bill payment time. The optimization module is used to formulate optimization measures based on the analysis results of the bottlenecks in electricity bill payment.

4. 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, it implements the method as described in any one of claims 1 to 2.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 2.

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