Intelligent power asset whole life cycle tracking and marketing service fusion system and method

Abstract

The application relates to the field of intelligent power marketing, and particularly discloses a smart power asset whole life cycle tracking and marketing service fusion system and method, which comprises the following steps: S1, taking power asset and marketing business data and building a correlation library; S2, optimizing monitoring, synchronizing the whole network and substation load, adding a same ratio and a benchmark average load to a daily load curve, and supporting time period screening; S3, maintaining meter_version by script monitoring electric meter operation logs, debugging transparent copying function, and adapting new protocol test; S4, maintaining project information according to built files and unbuilt files, and pushing a transaction center, monthly summary built file power and pushing; S5, according to a catalog power price, a line loss price, a new algorithm compatible with a double mode, and a guide check template; S6, according to a year and a month, checking electricity charges on a PC end, and connecting an interface; S7, pushing a marketing system after a measurement system asset operation; S8, adding line loss remarks to a bill, summing up refunding and supplementing amounts, separately forming a page, and calculating the amount according to the number of times in a time-sharing manner. The application solves the problem of power asset and marketing separation and improves power consumption analysis precision.

Description

Technical Field

[0001] This invention relates to the field of intelligent power marketing technology, specifically to an intelligent power asset full lifecycle tracking and marketing service integration system and method. Background Technology

[0002] The integrated technology for intelligent power asset lifecycle tracking and marketing services has core application value in the field of intelligent power marketing. It can support efficient power asset management and precise coordination of marketing services, covering key business scenarios such as orderly electricity consumption monitoring, green certificate issuance, billing and charging, and asset management. Unlike the traditional power system model where asset tracking and marketing services are separate modules, this integrated technology needs to break down data barriers and achieve deep linkage between asset data and marketing data to adapt to the refined operation needs of the new power market.

[0003] In current smart electricity marketing practices, asset and marketing synergy is a direction the industry is exploring. Some solutions only optimize a single aspect; for example, load monitoring systems only display basic load data and lack year-on-year analysis and time-period filtering functions; green certificate issuance relies on manual aggregation and push, which is inefficient; billing systems mostly adopt a fixed line loss rate model, which has poor adaptability; and data synchronization between asset management and marketing systems lags behind, which can easily lead to a disconnect between asset status and billing.

[0004] However, existing technologies have significant limitations: First, asset data (electricity meter and transformer specifications and inventory data) is fragmented with marketing data (orderly electricity load and billing data), lacking a unified database and resulting in low collaboration efficiency; second, electricity monitoring accuracy is insufficient, lacking load comparison rate calculation and benchmark average load display, making it difficult to support precise control; third, dual-protocol electricity meter adaptation is complex, meter_version field maintenance relies on manual labor, and joint commissioning and testing are cumbersome; fourth, green certificate management is not standardized, project information maintenance standards are inconsistent, and data push lacks a retry alarm mechanism; fifth, the billing model is singular, bills are unclear, line loss calculation has poor compatibility, and refunds and supplements are not presented separately.

[0005] Therefore, how to build an asset-marketing data linkage system and optimize the entire business process has become an urgent problem to be solved in the field of intelligent power marketing. Summary of the Invention

[0006] This invention addresses the aforementioned problems in the prior art by providing an intelligent power asset full lifecycle tracking and marketing service integration system and method. It effectively solves the problems of fragmented power asset and marketing data, inaccurate electricity consumption monitoring, difficulty in adapting dual regulations, inefficient green certificate management, and a single billing model. It effectively improves the efficiency of asset-marketing integration, the accuracy of electricity consumption analysis, the standardization of green certificate management, and the convenience of services.

[0007] To achieve the above objectives, this invention proposes an intelligent method for integrating full lifecycle tracking and marketing services for power assets, comprising: S1. Acquire power asset data and marketing business data under multiple business scenarios, and construct a power asset-marketing data association library. The power asset data includes the specification data of electricity meters, transformers, and terminals, as well as detailed data on their entry and exit from the warehouse. The marketing business data includes orderly electricity load data, green certificate issuance information, and billing and charging data. S2. Perform orderly power consumption monitoring and analysis optimization: In the orderly power consumption monitoring and analysis module of the system carrying load management data, the total load of the entire network and the total load of major substations are displayed simultaneously; in the user daily load curve function, the current load year-on-year increase rate and year-on-year decrease rate calculation function are added, the average load of the benchmark load within the selected time period is displayed, and time period filtering is supported to display the load curve and average load of the corresponding time period. S3. Handle dual-restriction requirements: Write data engineering scripts, maintain the meter_version field of the connected meters based on the update and maintenance operation records of the meter equipment, perform joint debugging of the main station to remove the rate equipment through meter reading curve function, complete the version release deployment and on-site joint debugging of dual-restriction table, adapt to the new restrictions in advance and test and verify. S4. Manage green certificate issuance data: For power generation projects that have been registered in the trading center, maintain project code, project name, address, power generation type, power generation account number, and grid connection time information; for power generation projects that have not been registered, maintain project address, power generation type, power generation account number, and grid connection time information; summarize the grid-connected settlement electricity, green electricity trading electricity, and self-generated and self-consumed electricity of registered projects every month, and push the project information and summarized electricity data to the trading center; S5. Optimize billing management: Configure the line loss price for the grid connection link according to different catalog electricity prices. Users are charged line loss fees by associating the line loss price. The line loss electricity fee for the grid connection link is calculated according to the newly developed line loss price algorithm and is compatible with two billing modes. The verification template is exported according to the latest billing algorithm. S6. Perform electricity fee inquiry at the trading center: The PC client can query the electricity fee information synchronized from the trading center by year and month, and connect to the trading center's electricity fee inquiry interface to obtain the electricity fee information; S7. Perform synchronous asset management: Query the standard code of the marketing system. After the metering asset system performs new, modified, and deleted operations on the specifications of electricity meters, transformers, and terminals, as well as new, modified, and deleted operations on warehouse information, it will push the relevant information to the marketing system. After the electricity meters, transformers, and terminals are put into and taken out of the warehouse, the detailed data will be pushed to the marketing system. S8. Adjust billing and charges: Add line loss fees for internet access in the remarks of the verification bill, generate a separate page for refunds and supplements for electricity fees and display it in the subtotal amount, maintain the fixed amount of the installment payment agreement and issue installment payment bills according to the fixed amount.

[0008] Preferably, in S2, the calculation expressions for the current load year-on-year increase rate and year-on-year decrease rate are as follows: ; In the formula, Take a positive value as the year-on-year increase rate of the current load. Take the negative value as the year-on-year decrease rate of the current load. This is the current load value. This is the load value for the corresponding time period in the same period last year; The formula for calculating the average load of the baseline load within the selected time period is as follows: ; In the formula, The average load over the time period is the baseline load. For the first time period The baseline load value at each time point. This represents the total number of moments within the time period.

[0009] Preferably, in S3, the specific steps for writing a data engineering script to maintain the meter_version field of the connected electricity meter based on the meter equipment update and maintenance operation records are as follows: S31. The script monitors the operation log of the electricity meter in real time. When the operation of electricity meter update, maintenance or parameter adjustment is detected, the unique identifier of the electricity meter and the version change information are extracted from the operation record. S32. Based on the unique identifier, match the corresponding meter record in the system and automatically update the value of the meter_version field of the meter record; S33. After the update is completed, a field change log is generated. The log includes the unique identifier of the electricity meter, the version before the change, the version after the change, and the change time, and is stored in the power asset-marketing data association database.

[0010] Preferably, in S4, the specific process for pushing project information and summarized electricity data to the trading center is as follows: S41. The intelligent power asset full life cycle tracking and marketing service integration system calls the transaction center's preset interface through the HTTPS protocol to encapsulate project information or power data into a JSON format data packet. The data packet includes a data type identifier, a data generation timestamp, a data verification code generated based on the data content and a preset key, and the specific data content. S42. After the trading center receives the data packet and returns a successful verification receipt, the intelligent power asset full life cycle tracking and marketing service integration system marks the push as completed. If a verification failure receipt is received or no receipt is received, the system starts a retry mechanism with retry intervals of 5 minutes, 10 minutes, and 30 minutes. If the retry fails after 3 attempts, an alarm is triggered and a failure log is recorded.

[0011] Preferably, in S5, the newly developed line loss electricity price algorithm is compatible with two billing modes, including a fixed line loss rate calculation mode and a dynamic line loss price calculation mode. The algorithm automatically switches the calculation logic through a mode identifier bit, which is stored in the billing parameter table of the power asset-marketing data association database. The fixed line loss rate mode takes a value of 0, or the dynamic line loss price mode takes a value of 1. The calculation expression for the line loss electricity fee in the grid connection stage is: ; In the formula, Electricity costs for line loss during internet access. For users' internet usage, This refers to the line loss price at the point of connection, which is linked to the user's catalog electricity price.

[0012] Preferably, in S6, the steps for querying electricity bill information on the PC front end include: S61. The user enters the year and month to be queried on the PC, in the format YYYY-MM, along with the verification code, and submits the electricity bill inquiry request. S62. The intelligent power asset full life cycle tracking and marketing service integration system verifies the legality of the request, including verification code validity and user permission verification. If the verification is successful, it generates query conditions based on the query year and month and calls the transaction center's electricity fee query interface. S63. The interface returns a dataset of electricity bill information that meets the conditions. The intelligent power asset full life cycle tracking and marketing service integration system performs format parsing and field mapping on the dataset, converting the transaction center fields into fields for display on the PC front end. S64. The system displays the parsed electricity bill information in a list format on the PC. The list supports sorting by fee category and provides an Excel file export function.

[0013] Preferably, in S7, the JSON format of the data pushed by the asset measurement system includes the following fields: Operation type field: Values ​​can be "Create", "Modify", or "Delete", used to identify the type of data operation; Asset type field: Values ​​can be electricity meter specifications, transformer specifications, terminal specifications, warehouse, electricity meter inbound, electricity meter outbound, transformer inbound, transformer outbound, terminal inbound, or terminal outbound, used to identify the asset category; Core data fields: Store specific information about the corresponding assets. Among them, the core data of the electricity meter specifications include manufacturer, electricity meter type, model, wiring method, voltage, current, and number of electricity meter digits; the core data of the inventory data includes asset number, inventory warehouse ID, and inventory entry time. Timestamp field: formatted as YYYY-MM-DD HH:MM:SS, records the time the data was pushed; Signature field: A 32-bit signature generated using the MD5 algorithm based on the push data content and a preset key, used for data integrity verification.

[0014] Preferably, in step S8, when the verification bill is generated, the intelligent power asset full life cycle tracking and marketing service integration system automatically identifies the refund / refund electricity fee item, separates it from the main bill data, and generates a separate one-page refund / refund bill. The refund / refund bill includes the refund / refund item name, refund / refund amount, and refund / refund reason. Simultaneously, the value of the refund / refund electricity fee subtotal is overlaid in the subtotal amount column of the main bill. The main bill subtotal amount is the sum of the normal electricity fee amount and the refund / refund electricity fee subtotal amount. The calculation expression for the refund / refund electricity fee subtotal amount is: ; In the formula, Subtotal of the refunded electricity bill. For the first The amount of the electricity fee refund or supplement, The total number of items for which electricity fees are refunded or supplemented.

[0015] Preferably, in S8, the specific steps for issuing installment payment bills at fixed amounts are as follows: S81, Intelligent Power Asset Full Lifecycle Tracking and Marketing Service Integration System Based on Fixed Amount in Installment Allocation Agreement The amount of each transfer is calculated based on the agreed number of transfers, k, using the following expression: ; In the formula, The amount transferred each time; S82. The intelligent power asset full life cycle tracking and marketing service integration system automatically generates a bill for each allocation according to the allocation time interval agreed in the agreement. The bill includes the agreement number, user account number, amount of this allocation, remaining amount of allocation, and allocation date. The S83 intelligent power asset full life cycle tracking and marketing service integration system will push the generated bills to the user terminal and simultaneously store them in the billing table of the power asset-marketing data association database. The stored data includes the bill number, push status, and user read status.

[0016] A smart power asset lifecycle tracking and marketing service integration system includes: The system includes an orderly electricity consumption monitoring and analysis module, a dual-regulation demand processing module, a green certificate issuance data management module, a billing management optimization module, a transaction center electricity fee query module, an asset management synchronization module, a billing and charging adjustment module, and a data storage module. The data storage module is used to store relevant data during the operation of each module, and each module performs corresponding operations by calling the data in the data storage module.

[0017] Therefore, this invention proposes an intelligent power asset full lifecycle tracking and marketing service integration system and method, the beneficial effects of which are as follows: (1) Break down the barriers between power assets and marketing data. By building an asset-marketing data association library and synchronous asset management, we can achieve efficient linkage between asset data such as electricity meters and marketing data such as load and billing, thereby improving data collaboration efficiency.

[0018] (2) Optimize the processes of orderly electricity consumption monitoring, green certificate issuance, and billing to improve the accuracy of electricity consumption analysis and the standardization of operation.

[0019] (3) Optimize the billing and charging presentation and the PC-side electricity bill query function to facilitate users to obtain information and improve service convenience.

[0020] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the steps of the intelligent power asset full lifecycle tracking and marketing service integration system and method of the present invention. Detailed Implementation

[0022] To make the technical solutions, advantages, and objectives of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below. The described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the protection scope of this application.

[0023] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0024] like Figure 1 As shown, this invention provides an intelligent method for integrating full lifecycle tracking and marketing services for power assets, including: S1. Acquire power asset data and marketing business data in multiple business scenarios, and build a power asset-marketing data association library. Power asset data includes the specification data of electricity meters, transformers, and terminals, as well as detailed data on their entry and exit from the warehouse. Marketing business data includes orderly electricity load data, green certificate issuance information, and billing and charging data. S2. Perform orderly power consumption monitoring and analysis optimization: In the orderly power consumption monitoring and analysis module of the system carrying load management data, the total load of the entire network and the total load of major substations are displayed simultaneously; in the user daily load curve function, the current load year-on-year increase rate and year-on-year decrease rate calculation function are added, the average load of the benchmark load within the selected time period is displayed, and time period filtering is supported to display the load curve and average load of the corresponding time period. The formulas for calculating the current year-on-year increase rate and year-on-year decrease rate of load are as follows: ; In the formula, Take a positive value as the year-on-year increase rate of the current load. Take the negative value as the year-on-year decrease rate of the current load. This is the current load value. This is the load value for the corresponding time period in the same period last year; The formula for calculating the average load of the baseline load within the selected time period is as follows: ; In the formula, The average load over the time period is the baseline load. For the first time period The baseline load value at each time point. This represents the total number of moments within the time period.

[0025] S3. Handle dual-restriction requirements: Write data engineering scripts, maintain the meter_version field of the connected meters based on the update and maintenance operation records of the meter equipment, perform joint debugging of the main station to remove the rate equipment through meter reading curve function, complete the version release deployment and on-site joint debugging of dual-restriction table, adapt to the new restrictions in advance and test and verify. The specific steps for writing a data engineering script to maintain the meter_version field of connected electricity meters based on the update and maintenance operation records of electricity meter equipment are as follows: S31. The script monitors the operation log of the electricity meter in real time. When the operation of electricity meter update, maintenance or parameter adjustment is detected, the unique identifier of the electricity meter and the version change information are extracted from the operation record. S32. Based on the unique identifier, match the corresponding meter record in the system and automatically update the value of the meter_version field of the meter record; S33. After the update is completed, a field change log is generated. The log includes the unique identifier of the electricity meter, the version before the change, the version after the change, and the change time, and is stored in the power asset-marketing data association database.

[0026] S4. Manage green certificate issuance data: For power generation projects that have been registered in the trading center, maintain project code, project name, address, power generation type, power generation account number, and grid connection time information; for power generation projects that have not been registered, maintain project address, power generation type, power generation account number, and grid connection time information; summarize the grid-connected settlement electricity, green electricity trading electricity, and self-generated and self-consumed electricity of registered projects every month, and push the project information and summarized electricity data to the trading center; The specific process for pushing project information and aggregated electricity data to the trading center is as follows: S41. The intelligent power asset full life cycle tracking and marketing service integration system calls the transaction center's preset interface through the HTTPS protocol to encapsulate project information or power data into a JSON format data packet. The data packet includes a data type identifier, a data generation timestamp, a data verification code generated based on the data content and a preset key, and the specific data content. S42. After the trading center receives the data packet and returns a successful verification receipt, the intelligent power asset full life cycle tracking and marketing service integration system marks the push as completed. If a verification failure receipt is received or no receipt is received, the system starts a retry mechanism with retry intervals of 5 minutes, 10 minutes, and 30 minutes. If the retry fails after 3 attempts, an alarm is triggered and a failure log is recorded.

[0027] S5. Optimize billing management: Configure the line loss price for the grid connection link according to different catalog electricity prices. Users are charged line loss fees by associating the line loss price. The line loss electricity fee for the grid connection link is calculated according to the newly developed line loss price algorithm and is compatible with two billing modes. The verification template is exported according to the latest billing algorithm. The newly developed line loss electricity pricing algorithm is compatible with two billing modes: a fixed line loss rate calculation mode and a dynamic line loss price calculation mode. The algorithm automatically switches the calculation logic through a mode identifier bit, which is stored in the billing parameter table of the power asset-marketing data association database. The fixed line loss rate mode has a value of 0, and the dynamic line loss price mode has a value of 1. The calculation expression for line loss electricity charges at the grid connection stage is as follows: ; In the formula, Electricity costs for line loss during internet access. For users' internet usage, This refers to the line loss price at the point of connection, which is linked to the user's catalog electricity price.

[0028] S6. Perform electricity fee inquiry at the trading center: The PC client can query the electricity fee information synchronized from the trading center by year and month, and connect to the trading center's electricity fee inquiry interface to obtain the electricity fee information; The steps to check electricity bill information on a PC client include: S61. The user enters the year and month to be queried on the PC, in the format YYYY-MM, along with the verification code, and submits the electricity bill inquiry request. S62. The intelligent power asset full life cycle tracking and marketing service integration system verifies the legality of the request, including verification code validity and user permission verification. If the verification is successful, it generates query conditions based on the query year and month and calls the transaction center's electricity fee query interface. S63. The interface returns a dataset of electricity bill information that meets the conditions. The intelligent power asset full life cycle tracking and marketing service integration system performs format parsing and field mapping on the dataset, converting the transaction center fields into fields for display on the PC front end. S64. The system displays the parsed electricity bill information in a list format on the PC. The list supports sorting by fee category and provides an Excel file export function.

[0029] S7. Perform synchronous asset management: Query the standard code of the marketing system. After the metering asset system performs new, modified, and deleted operations on the specifications of electricity meters, transformers, and terminals, as well as new, modified, and deleted operations on warehouse information, it will push the relevant information to the marketing system. After the electricity meters, transformers, and terminals are put into and taken out of the warehouse, the detailed data will be pushed to the marketing system. The JSON format of the data pushed by the asset measurement system includes the following fields: Operation type field: Values ​​can be "Create", "Modify", or "Delete", used to identify the type of data operation; Asset type field: Values ​​can be electricity meter specifications, transformer specifications, terminal specifications, warehouse, electricity meter inbound, electricity meter outbound, transformer inbound, transformer outbound, terminal inbound, or terminal outbound, used to identify the asset category; Core data fields: Store specific information about the corresponding assets. Among them, the core data of the electricity meter specifications include manufacturer, electricity meter type, model, wiring method, voltage, current, and number of electricity meter digits; the core data of the inventory data includes asset number, inventory warehouse ID, and inventory entry time. Timestamp field: formatted as YYYY-MM-DD HH:MM:SS, records the time the data was pushed; Signature field: A 32-bit signature generated using the MD5 algorithm based on the push data content and a preset key, used for data integrity verification.

[0030] S8. Adjust billing and charges: Add line loss fees for internet access in the remarks of the verification bill, generate a separate page for refunds and supplements for electricity fees and display it in the subtotal amount, maintain the fixed amount of the installment payment agreement and issue installment payment bills according to the fixed amount.

[0031] When the verification bill is generated, the intelligent power asset full life cycle tracking and marketing service integration system automatically identifies the refund / refund electricity fee items, separates them from the main bill data, and generates a separate one-page refund / refund bill. The refund / refund bill includes the refund / refund item name, refund / refund amount, and reason for refund / refund. Simultaneously, the subtotal amount of the refund / refund electricity fee is overlaid in the subtotal amount column of the main bill. The subtotal amount of the main bill is the sum of the normal electricity fee amount and the subtotal amount of the refund / refund electricity fee. The calculation expression for the subtotal amount of the refund / refund electricity fee is: ; In the formula, Subtotal of the refunded electricity bill. For the first The amount of the electricity fee refund or supplement, The total number of items for which electricity fees are refunded or supplemented.

[0032] The specific steps for issuing installment payment bills in fixed amounts are as follows: S81, Intelligent Power Asset Full Lifecycle Tracking and Marketing Service Integration System Based on Fixed Amount in Installment Allocation Agreement The amount of each transfer is calculated based on the agreed number of transfers, k, using the following expression: ; In the formula, The amount transferred each time; S82. The intelligent power asset full life cycle tracking and marketing service integration system automatically generates a bill for each allocation according to the allocation time interval agreed in the agreement. The bill includes the agreement number, user account number, amount of this allocation, remaining amount of allocation, and allocation date. The S83 intelligent power asset full life cycle tracking and marketing service integration system will push the generated bills to the user terminal and simultaneously store them in the billing table of the power asset-marketing data association database. The stored data includes the bill number, push status, and user read status.

[0033] like Figure 1 As shown, an intelligent power asset full lifecycle tracking and marketing service integration system includes: The system includes an orderly electricity consumption monitoring and analysis module, a dual-regulation demand processing module, a green certificate issuance data management module, a billing management optimization module, an electricity fee query module for the trading center, an asset management synchronization module, a billing and charging adjustment module, and a data storage module. The data storage module is used to store relevant data during the operation of each module, and each module performs corresponding operations by calling the data in the data storage module.

[0034] Example 1 This embodiment uses a provincial power company as the application subject. The company needs to solve problems such as the disconnect between power asset and marketing data, insufficient accuracy of electricity consumption monitoring, and inefficient management of green certificates. After deploying this system, it will cover 100 substations, 5,000 industrial users, and 200 distributed generation projects. The specific implementation process is as follows: (1) Construct a data association library: Data from multiple services is collected through the system interface: power asset data includes the specifications and entry / exit records of electricity meters (DT862 type from manufacturer A, specification 220V / 5(20)A, 3 decimal places) and instrument transformers (LZZBJ9 type, 100 units were put into storage in March 2025); marketing business data includes the daily load curve of industrial users, green certificate issuance information of a certain wind farm (number GZ2025001), and monthly billing details of users.

[0035] A database linking power assets and marketing data was built using MySQL, with core fields set as asset ID, load timestamp, green certificate number, and billing order number, enabling real-time linking of asset data and marketing data.

[0036] (2) Optimization of orderly electricity consumption monitoring: Configure the load management system interface to simultaneously display the total network load (reaching 8500MW at 14:00 on July 15, 2025) and the loads of major stations such as Substation A (280MW) and Substation B (320MW); the user daily load curve function adds year-on-year calculation. For example, if user C's load at 14:00 on the current day is 1200kW, and the same period last year was 1000kW, the system will automatically calculate and display the year-on-year increase of 20%; filter the period from 9:00 to 17:00 to display the baseline average load of 1100kW and the corresponding load curve for that period.

[0037] (3) Dual-specification requirement handling: A Python script was written to monitor the operation logs of electricity meters. After the electricity meter of user Ding was repaired in April 2025, the script extracted the unique identifier (ID: M20250401) and version change information of the meter, automatically updated the meter_version field to V2.1, and generated a log containing the version before and after the change and the time, which was then stored in the associated database. The main station was connected to the rate-determining equipment and successfully read the 7-day load curve of the meter. The V1.2 version system was deployed and 50 dual-protocol meters were connected to the system on-site. The front-end was adapted to the new DL / T645-2020 protocol, and the test pass rate was 100%.

[0038] (4) Green certificate issuance and billing implementation: Green Certificate Management: Maintain project information for wind farms that have been registered (code FD2025001). In June 2025, summarize the electricity settled on the grid by 5 million kWh and the electricity traded in green electricity by 3 million kWh. Encapsulate JSON data packets (including verification codes) using the HTTPS protocol and push them to the trading center. If the first timeout occurs, retry within 5 minutes to succeed. Billing optimization: Based on the industrial catalog electricity price of 0.65 yuan / kWh, the line loss price is configured at 0.03 yuan / kWh. User E generates 100,000 kWh of electricity. The system calculates the line loss electricity fee of 3,000 yuan in dynamic mode (identifier bit 1) and exports an Excel verification template. Bill Adjustment: The user's own verification note indicates a line loss fee of 2,000 yuan for the internet connection process. The electricity fee refund (1,500 yuan refund for meter error) is on a separate page. The subtotal amount is equal to the normal electricity fee of 12,000 yuan plus 1,500 yuan, which is 13,500 yuan. User Geng's installment payment agreement stipulates a fixed amount of 6,000 yuan, to be paid in three installments. The system will automatically generate a 2,000 yuan bill on the 1st of each month and push it to the user's terminal, while simultaneously recording the push status.

[0039] After implementation, the efficiency of asset-marketing data collaboration has been improved, the success rate of green certificate data push has increased, and the time for users to query electricity bills has been shortened, meeting the refined operation needs of provincial power companies.

[0040] Therefore, this invention provides an intelligent power asset full lifecycle tracking and marketing service integration system and method. By constructing a power asset-marketing data association library, it integrates the specifications and entry / exit data of electricity meters, transformers, and terminals with marketing data such as orderly electricity load, green certificate issuance, and billing. It is equipped with seven functional modules: orderly electricity consumption monitoring and analysis optimization, dual-contract requirement processing, green certificate issuance data management, billing management optimization, electricity fee query in the trading center, synchronous asset management, and billing and charging adjustment. This solves problems such as the separation of power asset and marketing data, inaccurate electricity consumption monitoring, difficulty in adapting dual-contracts, inefficient green certificate management, and single billing mode. It effectively improves the efficiency of asset-marketing integration, the accuracy of electricity consumption analysis, the standardization of green certificate management, and the convenience of services, and adapts to the refined operation needs in the field of intelligent power marketing.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for integrating intelligent power asset lifecycle tracking and marketing services, characterized in that: include: S1. Acquire power asset data and marketing business data under multiple business scenarios, and construct a power asset-marketing data association library. The power asset data includes the specification data of electricity meters, transformers, and terminals, as well as detailed data on their entry and exit from the warehouse. The marketing business data includes orderly electricity load data, green certificate issuance information, and billing and charging data. S2. Conduct orderly power consumption monitoring analysis and optimization: In the orderly power consumption monitoring analysis module of the system carrying load management data, the total load of the entire network and the total load of major substations are displayed simultaneously; The user daily load curve function has been enhanced with the addition of functions to calculate the year-on-year increase rate and year-on-year decrease rate of the current load, display the average load of the baseline load within the selected time period, and support time period filtering to display the load curve and average load of the corresponding time period. S3. Handle dual-specification requirements: Write data engineering scripts, maintain the meter_version field of connected meters based on the update and maintenance operation records of meter equipment, perform main station joint debugging to remove rate equipment, enable transparent meter reading curve function, complete version release deployment and on-site joint debugging of dual-specification table, adapt to the new specification in advance and test and verify it. S4. Manage green certificate issuance data: For power generation projects that have been registered in the trading center, maintain project code, project name, address, power generation type, power generation account number, and grid connection time information; for power generation projects that have not been registered, maintain project address, power generation type, power generation account number, and grid connection time information; summarize the grid-connected settlement electricity, green electricity trading electricity, and self-generated and self-consumed electricity of registered projects every month, and push the project information and summarized electricity data to the trading center; S5. Optimize billing management: Configure the line loss price for the grid connection link according to different catalog electricity prices. Users are charged line loss fees by associating the line loss price. The line loss electricity fee for the grid connection link is calculated according to the newly developed line loss price algorithm and is compatible with two billing modes. The verification template is exported according to the latest billing algorithm. S6. Perform electricity fee inquiry at the trading center: The PC client can query the electricity fee information synchronized from the trading center by year and month, and connect to the trading center's electricity fee inquiry interface to obtain the electricity fee information; S7. Perform synchronous asset management: Query the standard code of the marketing system. After the metering asset system performs new, modified, and deleted operations on the specifications of electricity meters, transformers, and terminals, as well as new, modified, and deleted operations on warehouse information, it will push the relevant information to the marketing system. After the electricity meters, transformers, and terminals are put into and taken out of the warehouse, the detailed data will be pushed to the marketing system. S8. Adjust billing and charges: Add line loss fees for internet access in the remarks of the verification bill, generate a separate page for refunds and supplements for electricity fees and display it in the subtotal amount, maintain the fixed amount of the installment payment agreement and issue installment payment bills according to the fixed amount.

2. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S2, the calculation expressions for the current load year-on-year increase rate and year-on-year decrease rate are as follows: ； In the formula, Take a positive value as the year-on-year increase rate of the current load. Take the negative value as the year-on-year decrease rate of the current load. This is the current load value. This is the load value for the corresponding time period in the same period last year; The formula for calculating the average load of the baseline load within the selected time period is as follows: ； In the formula, The average load over the time period is the baseline load. For the first time period The baseline load value at each time point. This represents the total number of moments within the time period.

3. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S3, the specific steps for writing a data engineering script to maintain the meter_version field of connected meters based on the update and maintenance operation records of meter equipment are as follows: S31. The script monitors the operation log of the electricity meter in real time. When the operation of electricity meter update, maintenance or parameter adjustment is detected, the unique identifier of the electricity meter and the version change information are extracted from the operation record. S32. Based on the unique identifier, match the corresponding meter record in the system and automatically update the value of the meter_version field of the meter record; S33. After the update is completed, a field change log is generated. The log includes the unique identifier of the electricity meter, the version before the change, the version after the change, and the change time, and is stored in the power asset-marketing data association database.

4. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S4, the specific process for pushing project information and aggregated electricity data to the trading center is as follows: S41. The intelligent power asset full life cycle tracking and marketing service integration system calls the transaction center's preset interface through the HTTPS protocol to encapsulate project information or power data into a JSON format data packet. The data packet includes a data type identifier, a data generation timestamp, a data verification code generated based on the data content and a preset key, and the specific data content. S42. After the trading center receives the data packet and returns a successful verification receipt, the intelligent power asset full life cycle tracking and marketing service integration system marks the push as completed. If a verification failure receipt is received or no receipt is received, the system will initiate a retry mechanism with retry intervals of 5 minutes, 10 minutes, and 30 minutes. If the system still fails after 3 retries, an alarm will be triggered and a failure log will be recorded.

5. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S5, the newly developed line loss electricity price algorithm is compatible with two billing modes: a fixed line loss rate calculation mode and a dynamic line loss price calculation mode. The algorithm automatically switches the calculation logic through a mode identifier bit, which is stored in the billing parameter table of the power asset-marketing data association database. The fixed line loss rate mode has a value of 0, or the dynamic line loss price mode has a value of 1. The calculation expression for the line loss electricity fee in the grid connection stage is: ； In the formula, Electricity costs for line loss during internet access. For users' internet usage, This refers to the line loss price at the point of connection, which is linked to the user's catalog electricity price.

6. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S6, the steps to query electricity bill information on the PC client include: S61. The user enters the year and month to be queried on the PC, in the format YYYY-MM, along with the verification code, and submits the electricity bill inquiry request. S62. The intelligent power asset full life cycle tracking and marketing service integration system verifies the legality of the request, including verification code validity and user permission verification. If the verification is successful, it generates query conditions based on the query year and month and calls the transaction center's electricity fee query interface. S63. The interface returns a dataset of electricity bill information that meets the conditions. The intelligent power asset full life cycle tracking and marketing service integration system performs format parsing and field mapping on the dataset, converting the transaction center fields into fields for display on the PC front end. S64. The system displays the parsed electricity bill information in a list format on the PC. The list supports sorting by fee category and provides an Excel file export function.

7. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S7, the JSON format of the data pushed by the asset measurement system includes the following fields: Operation type field: Values ​​can be "Create", "Modify", or "Delete", used to identify the type of data operation; Asset type field: Values ​​can be electricity meter specifications, transformer specifications, terminal specifications, warehouse, electricity meter inbound, electricity meter outbound, transformer inbound, transformer outbound, terminal inbound, or terminal outbound, used to identify the asset category; Core data fields: Store specific information about the corresponding assets. Among them, the core data of the electricity meter specifications include manufacturer, electricity meter type, model, wiring method, voltage, current, and number of electricity meter digits; the core data of the inventory data includes asset number, inventory warehouse ID, and inventory entry time. Timestamp field: formatted as YYYY-MM-DD HH:MM:SS, records the time the data was pushed; Signature field: A 32-bit signature generated using the MD5 algorithm based on the push data content and a preset key, used for data integrity verification.

8. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S8, when the verification bill is generated, the intelligent power asset full life cycle tracking and marketing service integration system automatically identifies the refund / refund electricity fee item, separates it from the main bill data, and generates a separate one-page refund / refund bill. The refund / refund bill includes the refund / refund item name, refund / refund amount, and refund / refund reason. Simultaneously, the value of the refund / refund electricity fee subtotal is overlaid in the subtotal column of the main bill. The main bill subtotal is the sum of the normal electricity fee amount and the refund / refund electricity fee subtotal. The calculation expression for the refund / refund electricity fee subtotal is: ； In the formula, Subtotal of the refunded electricity bill. For the first The amount of the electricity fee refund or supplement, The total number of items for which electricity fees are refunded or supplemented.

9. The intelligent power asset full life cycle tracking and marketing service integration method according to claim 1, characterized in that, In S8, the specific steps for issuing installment payment bills at fixed amounts are as follows: S81, Intelligent Power Asset Full Lifecycle Tracking and Marketing Service Integration System Based on Fixed Amount in Installment Allocation Agreement The amount of each transfer is calculated based on the agreed number of transfers, k, using the following expression: ； In the formula, The amount transferred each time; S82. The intelligent power asset full life cycle tracking and marketing service integration system automatically generates a bill for each allocation according to the allocation time interval agreed in the agreement. The bill includes the agreement number, user account number, amount of this allocation, remaining amount of allocation, and allocation date. The S83 intelligent power asset full life cycle tracking and marketing service integration system will push the generated bills to the user terminal and simultaneously store them in the billing table of the power asset-marketing data association database. The stored data includes the bill number, push status, and user read status.

10. An intelligent power asset full lifecycle tracking and marketing service integration system, characterized in that, include: The system includes: orderly electricity consumption monitoring and analysis module, dual-regulation demand processing module, green certificate issuance data management module, billing management optimization module, transaction center electricity fee query module, asset management synchronization module, billing and fee adjustment module, and data storage module. The orderly power consumption monitoring and analysis module is used to simultaneously display the total load of the entire network and the total load of major substations in the orderly power consumption monitoring and analysis section of the system carrying load management data; The user daily load curve function has been enhanced with the addition of functions to calculate the year-on-year increase rate and year-on-year decrease rate of the current load, display the average load of the baseline load within the selected time period, and support time period filtering to display the load curve and average load of the corresponding time period. The dual-protocol requirement processing module is used to write data engineering scripts, maintain the meter_version field of the connected electricity meters based on the update and maintenance operation records of the electricity meter equipment, perform main station joint debugging to remove rate equipment, transparent meter reading function, complete version release deployment and on-site joint debugging of dual-protocol table, and pre-adapt to new protocols and test and verify them. The green certificate issuance data management module is used to maintain information such as project code, project name, address, power generation type, power generation account number, and grid connection time for power generation projects that have been registered in the trading center; and to maintain information such as project address, power generation type, power generation account number, and grid connection time for power generation projects that have not been registered. The module also summarizes the on-grid settlement electricity, green electricity trading electricity, and self-generated and self-consumed electricity of the registered projects each month, and pushes the project information and the summarized electricity data to the trading center. The billing management optimization module is used to configure the line loss price of the grid connection link according to different catalog electricity prices. Users can charge line loss fees by associating the line loss price with the line loss electricity price. The module calculates the line loss electricity fee of the grid connection link according to the newly developed line loss price algorithm and is compatible with two billing modes. The module also exports the verification template according to the latest billing algorithm. The electricity fee query module of the trading center is used to query the electricity fee information synchronized from the trading center by year and month on the PC front end, and to obtain the electricity fee information by connecting to the electricity fee query interface of the trading center. The asset management synchronization module is used to query the standard code of the marketing system. After the metering asset system performs new, modified, and deleted operations on the specifications of electricity meters, transformers, and terminals, as well as new, modified, and deleted operations on warehouse information, it pushes the relevant information to the marketing system. After the electricity meters, transformers, and terminals are put into and taken out of the warehouse, it pushes the detailed data to the marketing system. The billing and charge adjustment module is used to add line loss fees for the Internet access process to the remarks of the verification bill, generate a separate page for refunds and supplements of electricity fees and display it in the subtotal amount, maintain the fixed amount of the installment payment agreement and issue installment payment bills according to the fixed amount. The data storage module is used to store relevant data during the operation of each module, and each module performs corresponding operations by calling the data in the data storage module.

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