Marketing and distribution data fusion system and method based on electricity consumption information acquisition
Through the operating and distribution data fusion system based on power consumption information collection, the MQTT+JSON protocol is used to realize data interaction, which solves the data island problem in the smart grid, improves the real-time and accuracy of data, and promotes efficient collaboration and decision-making support of the smart grid.
Patent Information
- Application Number
- CN202510288495.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-07-25
AI Technical Summary
The existing technology lacks a complete solution to efficiently integrate and allocate data in smart grids and improve data real-time and accuracy, making it difficult to achieve efficient sharing and collaborative processing of data, and cannot meet the strict requirements of smart grids for real-time and accuracy.
A data fusion system based on power consumption information collection is adopted, including service supply and service systems, digital platform micro-applications, use main site, integrated copy APP, non-metering APP, power outage APP and property management platform. Data interaction is realized through the MQTT+JSON protocol, and the data verification APP judges the data validity and reports it to the corresponding APP. The non-metering APP and power outage APP send data to the service supply and service systems and digital platform micro-applications through the property management platform, realizing efficient integration and real-time update of data.
Effectively integrate data from different sources, break the data island phenomenon, improve data accuracy and real-timeness, ensure data timeliness, promote cross-departmental collaboration, improve customer service quality and fault handling efficiency, and promote intelligent development.
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to power grid information collection, and in particular to a power marketing and distribution data fusion system and method based on power consumption information collection. Background Art
[0002] With the continuous deepening of the construction of smart power grids, the integration and management of power marketing and distribution data play a crucial role in power grid operation. However, there are many deficiencies in traditional power marketing and distribution data management methods, such as scattered data, information islands and other problems. These problems make it difficult to achieve efficient sharing and collaborative processing of data, and cannot meet the strict requirements of smart power grids for real-time, accuracy and efficiency. At present, with the rapid development of information technology, it provides strong technical support for data fusion. The continuous emergence of emerging technologies such as cloud computing, big data, and the Internet of Things provides new solutions for the collection, storage, processing and analysis of power marketing and distribution data. By combining these technologies with the construction of smart power grids, comprehensive fusion and optimized management of power marketing and distribution data can be achieved. However, although certain progress has been made in data processing in the prior art, in the complex application scenarios of smart power grids, there is still a lack of a complete solution that can efficiently integrate power marketing and distribution data and improve data real-time and accuracy. Summary of the Invention
[0003] Object of the Invention: The object of the present invention is to provide a power marketing and distribution data fusion system based on power consumption information collection to achieve comprehensive fusion and optimized management of power marketing and distribution data, efficiently integrate power marketing and distribution data, and improve data real-time and accuracy; the second object of the present invention is to provide a method for a power marketing and distribution data fusion system based on power consumption information collection.
[0004] Technical Solution: A power marketing and distribution data fusion system based on power consumption information collection according to the present invention includes a power supply service system, a digital substation micro-application and an electric meter, and also includes a power consumption collection master station, a centralized meter reading APP, a non-metering APP, a power outage APP and a property management platform;
[0005] Among them, the collection master station is used to send metering tasks and collection archives to the centralized meter reading APP; the centralized meter reading APP reads data from the electric meter and judges the validity of the data, and the data includes real-time data and event information; if the data is valid important event information, it is reported to the power outage APP; if the data is valid real-time data, it is reported to the non-metering APP; the non-metering APP is used to receive the real-time data and upload the data to the digital substation micro-application through the property management platform; the power outage APP is used to receive the event information and upload the data to the power supply service system through the property management platform; the property management platform is used to proxy and issue non-metering collection tasks to the centralized meter reading APP and forward the data of the non-metering APP and the power outage APP to the power supply service system and the digital substation micro-application; the interface of the system uses the MQTT+JSON protocol for data interaction.
[0006] Preferably, the non-metering APP reads non-metering collection tasks from the centralized meter reading APP through the MQTT protocol and judges the task consistency.
[0007] Preferably, after receiving the non-metering collection task, the centralized meter reading APP collects the real-time data of the electric meter at a preset frequency and reports the real-time data to the non-metering APP in a preset format.
[0008] A method for integrating operation and distribution data based on power consumption information collection according to the present invention includes: the collection master station sends metering tasks and collection archives to the centralized meter reading APP; the centralized meter reading APP reads real-time data and event information from the electric meter through carrier wave or 485 communication and judges the validity of the data; if the data is valid important event information, it is reported to the power outage APP; if the data is valid real-time data, it is reported to the non-metering APP;
[0009] The non-metering APP receives the real-time data, sends a file query request to the centralized meter reading APP, receives the electric meter file information returned by the centralized meter reading APP, and uploads the real-time data and the electric meter file information to the digital substation micro-application through the property management platform;
[0010] The power outage APP receives the important event information and uploads the important event information to the power supply service system through the property management platform;
[0011] The property management platform forwards the data of the non-metering APP and the power outage APP; among them, all data interactions in the system uniformly adopt the MQTT+JSON protocol.
[0012] Preferably, the file query request includes a full file query request or a partial file query request.
[0013] Preferably, the steps for the non-metering APP to manage non-metering data collection tasks include: the digital substation micro-application issues non-metering collection tasks to the property management platform; the property management platform proxy-issues the non-metering collection tasks to the non-metering APP; the non-metering APP reads existing non-metering collection tasks from the meter reading APP through the MQTT protocol; the non-metering APP determines whether the read tasks are consistent with the tasks issued by the property management platform; if not, the non-metering APP sends a command to the meter reading APP to request deletion of the existing non-metering collection tasks and re-issues the tasks.
[0014] Preferably, the steps for the meter reading APP to report real-time data include: the meter reading APP reads real-time data from the electric meter through carrier or 485 communication; the meter reading APP determines whether the real-time data belongs to the command items of the non-metering collection tasks; if so, the meter reading APP reports the real-time data to the non-metering APP according to the MQTT+JSON protocol; the non-metering APP receives the real-time data and uploads the real-time data to the digital substation micro-application through the property management platform.
[0015] Preferably, the real-time data includes the electric meter address, reading time, command item, and command value.
[0016] Preferably, the steps for the meter reading APP to report power outage event data include: the meter reading APP collects power outage event data from the electric meter through carrier or 485 communication; the meter reading APP determines whether the power outage event data belongs to the command items of the non-metering collection tasks; if so, the meter reading APP reports the power outage event data to the power outage APP according to the MQTT+JSON protocol; the power outage APP receives the power outage event data and uploads the power outage event data to the power supply service system through the property management platform.
[0017] Preferably, the power outage event data includes the electric meter address, event type, occurrence time, and end time.
[0018] Beneficial effects: Compared with the prior art, the present invention has the following remarkable advantages: effectively integrating operation and distribution data from different sources, breaking the data island phenomenon, and making the utilization of data more efficient; improving data accuracy and real-time performance, through data fusion technology, and updating data in real time simultaneously, ensuring the timeliness of data, providing timely and accurate data support for decision-making, further helping enterprises make more scientific decisions, and improving market competitiveness and operation efficiency; promoting cross-departmental collaboration, improving customer service quality, optimizing resource allocation, enhancing fault handling efficiency, and promoting intelligent development. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 is the data flow process of the overall system architecture of the present invention;
[0020] Figure 2 Non-metering APP query process for electricity meter files in the present invention;
[0021] Figure 3 Non-metering APP management process for non-metering data collection tasks in the present invention;
[0022] Figure 4 Reporting process for real-time data required by non-metering APP in the present invention;
[0023] Figure 5 Reporting process for power outage events required by power outage APP in the present invention. Detailed implementation manners
[0024] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0025] Data flow process of the overall system architecture of the present invention: The master metering and collection station is responsible for sending metering tasks and collection files to the concentrator APP; the concentrator APP then uses carrier or 485 communication methods to read relevant real-time data and event information from the electricity meters. After collecting this data, the concentrator APP will immediately judge the validity of the data and discard the invalid ones. Once it is recognized that the data is valid and is an important event, the concentrator APP will actively report this event information to the power outage APP, and if it is real-time data, it will be reported to the non-metering APP; subsequently, the power outage APP and the non-metering APP will upload the received data to the power supply service system and the digital substation micro-application respectively through the property management platform to ensure the timeliness and accuracy of the data; the interface should uniformly adopt the MQTT+JSON method;
[0026] Non-metering APP query process for electricity meter files: The non-metering APP requests all file information from the concentrator APP. The format is shown in Table 1 below. If the request type is 0, it means requesting all files from the concentrator APP, and the concentrator APP will reply with all measurement point numbers, electricity meter addresses, port numbers, etc. stored in the parameter library; the non-metering APP is used to send a file query request to the concentrator APP and receive the electricity meter file information returned by the concentrator APP; among them, the non-metering APP can send two types of query requests: a full file query request, used to request the concentrator APP to return all electricity meter file information; a partial file query request, used to request the concentrator APP to return the electricity meter file information within a specified range; the non-metering APP sends a query request to the concentrator APP through the MQTT protocol.
[0027]
[0028] Table 1 Non-metering APP request format for all files
[0029] The non-metering APP requests partial collection file information from the centralized meter reading APP. The format is as shown in Table 2 below. If the request type is 1, it means requesting partial range measurement point number files from the centralized meter reading APP. The centralized meter reading APP will reply with corresponding information such as the measurement point numbers, meter addresses, port numbers, etc. existing in the parameter library, which improves the stability and reliability of the system.
[0030]
[0031]
[0032]
[0033] Table 2 Non-metering APP Request Partial File Format
[0034] Reporting process of real-time data required by the non-metering APP: The digitalized substation area micro-application issues non-metering collection tasks to the property management platform, and the property management platform forwards the corresponding tasks to the non-metering APP on behalf; the non-metering APP reads the existing non-metering collection tasks in the centralized meter reading APP through the corresponding interface of the MQTT protocol, and judges whether non-metering tasks are read. The reading format is as described in Table 3 below. The centralized meter reading APP will reply to the non-metering APP with all non-metering tasks existing in the parameter library, including task numbers, execution frequencies, data types, and specific data items.
[0035]
[0036]
[0037] Table 3 Non-metering APP Request Collection Task Format
[0038] If non-metering tasks are read, then judge whether the non-metering tasks to be issued are consistent with the non-metering tasks already existing in the centralized meter reading APP. If they are consistent, end. When they are inconsistent, the non-metering APP sends a command to the centralized meter reading APP to request deleting the existing non-metering collection tasks, and issues the collection tasks received from the property management platform to the centralized meter reading APP. The format is as shown in Table 4 below; if non-metering tasks are not read, issue the collection tasks received from the property management platform to the centralized meter reading APP, and the format is as
[0039] shown in Table 4.
[0040]
[0041]
[0042] Table 4 Non-metering APP Set Collection Task Format
[0043] Reporting process for real-time data required by the non-metering APP: The meter reading APP reads the real-time data of the electric meter, such as voltage, current, power, etc., through carrier or 485 communication, and then determines whether these data items belong to the command items of the non-metering collection task. If so, the meter reading APP uploads the real-time data to the non-metering APP in the format specified by MQTT+JSON, as shown in Table 5 below. The uploaded content includes various real-time information, including the electric meter address, reading time, command item, command value, etc.; after receiving the real-time data report, the non-metering APP immediately sends the data to the property management platform, and the property management platform then transmits the data to the digital substation micro-application; otherwise, it ends.
[0044]
[0045] Table 5 Format for reporting real-time data to the non-metering APP
[0046] Reporting process for real-time data required by the power outage APP: The meter reading APP collects important events of the electric meter, such as power outage events, meter cover opening events, etc., through carrier or 485 communication, and then determines whether these data items belong to the command items of the non-metering collection task. If so, the meter reading APP uploads the event data to the power outage APP in the format specified by MQTT+JSON, as shown in Table 6 below. The content information includes the electric meter address, occurrence time, end time, etc.; after receiving the event data report, the power outage APP immediately sends the data to the property management platform, and the property management platform then transmits the data to the power supply service system; if not, the reporting ends.
[0047]
[0048] Table 6 Format for reporting event data to the non-metering APP.
Claims
1. A power supply and service system, a digitalized distribution transformer area micro-application, and an electric meter, characterized in that: It also includes a power consumption master station, a centralized meter reading APP, a non-metering APP, a power outage APP, and a property management platform; Among them, the power consumption master station is used to send metering tasks and collection archives to the centralized meter reading APP; the centralized meter reading APP reads data from the electric meter and judges the validity of the data, and the data includes real-time data and event information; if the data is valid important event information, it is reported to the power outage APP; if the data is valid real-time data, it is reported to the non-metering APP; the non-metering APP is used to receive the real-time data and upload the data to the digital substation micro-application through the property management platform; the power outage APP is used to receive the event information and upload the data to the power supply service system through the property management platform; the property management platform is used to proxy and send non-metering collection tasks to the centralized meter reading APP and forward the data of the non-metering APP and the power outage APP to the power supply service system and the digital substation micro-application; the interface of the system uses the MQTT+JSON protocol for data interaction.
2. The power operation and distribution data fusion system based on power consumption information collection according to claim 1, wherein: The non-metering APP reads non-metering collection tasks from the centralized meter reading APP through the MQTT protocol and judges the task consistency.
3. The power marketing and distribution data fusion system based on power consumption information collection according to claim 2, wherein: After receiving the non-metering collection task, the centralized meter reading APP collects the real-time data of the electric meter at a preset frequency and reports the real-time data to the non-metering APP in a preset format.
4. A method for integrating operation and distribution data based on power consumption information collection, characterized in that, It includes: The power consumption master station sends metering tasks and collection archives to the centralized meter reading APP; the centralized meter reading APP reads real-time data and event information from the electric meter through carrier wave or 485 communication mode and judges the validity of the data; if the data is valid important event information, it is reported to the power outage APP; if the data is valid real-time data, it is reported to the non-metering APP; The non-metering APP receives the real-time data, sends an archive query request to the centralized meter reading APP, receives the electric meter archive information returned by the centralized meter reading APP, and uploads the real-time data and the electric meter archive information to the digital substation micro-application through the property management platform; The power outage APP receives the important event information and uploads the important event information to the power supply service system through the property management platform; The property management platform forwards the data of the non-metering APP and the power outage APP; among them, all data interactions in the system uniformly use the MQTT+JSON protocol.
5. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, wherein The archive query request includes a full archive query request or a partial archive query request.
6. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, wherein The steps for the non-metering APP to manage non-metering data collection tasks include: the digital substation micro-application sends non-metering collection tasks to the property management platform; the property management platform proxy-sends the non-metering collection tasks to the non-metering APP; the non-metering APP reads the existing non-metering collection tasks from the centralized meter reading APP through the MQTT protocol; the non-metering APP judges whether the read tasks are consistent with the tasks sent by the property management platform; if not, the non-metering APP sends a command to the centralized meter reading APP to request deleting the existing non-metering collection tasks and re-sending the tasks.
7. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, characterized in that, The steps for the centralized meter reading APP to report real-time data are as follows: The centralized meter reading APP reads real-time data from the electric meter through carrier or 485 communication; The centralized meter reading APP determines whether the real-time data belongs to the command items of non-metering acquisition tasks; If it belongs, the centralized meter reading APP reports the real-time data to the non-metering APP according to the MQTT+JSON protocol; The non-metering APP receives the real-time data and uploads the real-time data to the digital substation micro-application through the property management platform.
8. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, wherein The real-time data includes the electric meter address, reading time, command item, and command value.
9. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, characterized in that, The steps for the centralized meter reading APP to report power outage event data are as follows: The centralized meter reading APP collects power outage event data from the electric meter through carrier or 485 communication; The centralized meter reading APP determines whether the power outage event data belongs to the command items of non-metering acquisition tasks; If it belongs, the centralized meter reading APP reports the power outage event data to the power outage APP according to the MQTT+JSON protocol; The power outage APP receives the power outage event data and uploads the power outage event data to the power supply service system through the property management platform.
10. The method for integrating operation and distribution data based on power consumption information collection according to claim 4, wherein, The power outage event data includes the electric meter address, event type, occurrence time, and end time.