A new installation method of an electricity meter

Abstract

The present application relates to a kind of electric energy meter, install and collect new installation method, belong to the technical field of electric metering device;The new installation method of the present application is applied to the system environment formed by electric energy meter, concentrator, acquisition system, marketing system, to rule set to corresponding area, line loss calculation is participated in;The present application can instantly upload key information to acquisition system after electric energy meter new installation by " install and collect " technology, automatically complete filing, parameter issue and acquisition task distribution, avoid the lag problem of acquisition data caused by multi-link approval in traditional process, improve data acquisition efficiency;Ensure the real-time of line loss data, for electric power enterprise accurately grasp power grid operating condition, optimize operation strategy;Realize remote automatic installation and debugging, reduce field manual operation link, not only simplify operation process, also reduce manpower and time cost, improve work efficiency.

Description

Technical Field

[0001] This invention relates to a method for immediate installation and meter reading of new electricity meters, belonging to the technical field of electricity metering devices. Background Technology

[0002] In the field of power information acquisition, accurate and efficient acquisition of electricity meter information is crucial for power companies' grid management and operation optimization. Currently, there are various power information acquisition systems and methods on the market. For example, a power information acquisition system and method provided by Chinese Patent Publication No. CN117014742A, while achieving the function of power information acquisition to a certain extent, still has many shortcomings.

[0003] In terms of data collection efficiency, traditional methods often require multiple approval processes after the installation of new electricity meters, leading to data delays and hindering timely data collection for enterprise decision-making. Furthermore, existing systems lack close integration with relevant platforms, equipment asset information verification is cumbersome, and information sharing between departments within the enterprise is difficult, impacting work efficiency.

[0004] In terms of line loss calculation and grid operation monitoring, existing technologies cannot automatically and in real time aggregate electricity meters to corresponding distribution areas and lines. Inaccurate and untimely line loss data makes it difficult for power companies to accurately grasp the grid operation status and formulate effective operation strategies.

[0005] There are also issues with inaccurate and untimely data collection. When the data collection link is unstable (e.g., 100 tables are working normally, but a newly added table fails to register and go online), the main station's calculation of line loss or other statistics will be inaccurate due to the lack of data from this table.

[0006] Regarding market settlement issues, electricity market transactions use a 15-minute bidding and settlement cycle. If a meter is offline and does not collect data in the previous 15-minute cycle, but comes back online in the next cycle, its first data point will be mistakenly considered the start of the new cycle. However, this data actually includes the cumulative electricity consumption of the past 15 minutes, leading to an error in the electricity bill calculation at that point in time.

[0007] There are also issues with file relationships. The equipment has been installed on-site, but the marketing business application system has not established files, or the relationships in the files (such as the relationship between households and transformers, and the relationship between metering points and equipment) are configured incorrectly.

[0008] In addition, the on-site manual operation involves many steps and complex procedures, resulting in high labor and time costs and reducing overall work efficiency. Summary of the Invention

[0009] Based on the problems described in the background, the problem to be solved by the present invention is to provide a method for immediate installation and collection of electricity meters to address the problems mentioned above.

[0010] To achieve the above objectives, the present invention provides the following technical solution: a method for immediate data collection upon installation of an electricity meter, applicable to a system environment consisting of a carrier meter, a concentrator, a data collection system, and a marketing system, to collect data at the corresponding distribution area and line for line loss calculation. The new installation method includes the following steps:

[0011] S1. After the electricity meter is powered on, the communication module STA of the electricity meter obtains the address of the electricity meter as the communication address and sends a network access application to the central coordinator CCO of the concentrator.

[0012] After the S2 and STA communication modules successfully join the network, they obtain device information from the electricity meter, including the communication address and communication protocol type, and actively report it to the concentrator.

[0013] S3. The concentrator receives the reported device information and compares it with the files in the concentrator. If it is a newly installed device, an unknown energy meter discovery event is generated and reported to the data acquisition system.

[0014] S4. After receiving the event of discovering an unknown electricity meter reported by the concentrator, the data acquisition system checks it against the electricity meter asset file in the marketing system to obtain asset information.

[0015] S5. The data acquisition system creates a temporary file to store the connection relationship between the concentrator and the electricity meter, and notifies the front-end to update the cache; the data acquisition system generates and sends the meter reading parameters, initiates the debugging process, and synchronizes the time with the electricity meter. After successful synchronization, the data acquisition system feeds back the debugging results to the mobile phone back clip and the marketing system.

[0016] S6. The marketing system pushes complete user and electricity meter information to the electricity information collection system through business expansion, meter replacement and other processes. The collection system updates the self-built temporary files into formal files.

[0017] S7. The acquisition system uses station area physical topology identification technology and HPLC station area identification technology to adjust the IoT relationship of the equipment.

[0018] Preferably, in step S2, the communication module STA immediately reports the information of the connected device to the concentrator after reading it.

[0019] Preferably, in step S3, the concentrator needs to support periodically reading the device information in the central coordinator (CCO) and comparing it with the data collected in the concentrator to generate unknown energy meter events, thus preventing omissions.

[0020] Preferably, in step S4, the data acquisition system supports automatic debugging functions, including automatic time synchronization, automatic generation and distribution of meter reading parameters, and automatic collection of real-time voltage data to confirm that the equipment parameters are correctly distributed.

[0021] Preferably, in step S4, the automatic debugging function includes automatically matching the collection scheme issued by the concentrator according to the user type corresponding to the unknown device, and automatically issuing the collection scheme when the user type is newly added.

[0022] Preferably, in step S5, the acquisition system supports the automatic storage function of data from unknown devices, establishes a temporary data storage table, and supports the automatic storage of measurement and acquisition data sent by unknown devices, including curve tables, daily frozen energy value tables, and event tables.

[0023] Preferably, in step S5, the data acquisition system supports WEB functionality and allows users to query information, debugging results, data, and statistics of unknown devices by unit, time period, device type, area / user name, and concentrator address / asset number, facilitating user management and monitoring.

[0024] The beneficial effects of this invention are:

[0025] This technical solution enables the communication module STA to automatically acquire and report communication addresses and device information to the concentrator after the electricity meter is powered on, achieving initial device identification and network access. After comparing the data files, the concentrator reports unknown device events to the data acquisition system, triggering the asset information verification process between the system and the marketing system to ensure the accuracy and completeness of device information. Based on this, the data acquisition system creates temporary files and stores device connection relationships, while automatically generating and distributing meter reading parameters and initiating remote debugging to achieve real-time data acquisition and time synchronization of the devices. Finally, by utilizing the physical topology of the distribution area and HPLC distribution area identification technology, the IoT relationship of the devices is dynamically adjusted to ensure that the electricity meter can be accurately assigned to the corresponding distribution area and line, effectively participating in line loss calculation, thereby constructing an efficient, automatic, and accurate electricity meter access and management system.

[0026] Through "install and collect" technology, newly installed electricity meters can instantly upload key information to the data collection system, automatically completing file creation, parameter distribution, and data collection task allocation. This avoids the data lag caused by multiple approval processes in traditional workflows, improving data collection efficiency and ensuring accurate and timely data collection. It also ensures the real-time nature of line loss data, guaranteeing that the data is correctly assigned to the corresponding time period, and stabilizing market settlements. Furthermore, it enables power companies to accurately grasp the grid's operational status, automatically correct file relationships, and optimize operational strategies. Remote automatic installation and commissioning are also achieved, reducing on-site manual operations, simplifying procedures, lowering labor and time costs, and improving work efficiency. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the principle of the present invention. Detailed Implementation

[0028] The embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0029] 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, not all, of the embodiments of the present invention. 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.

[0030] Example 1

[0031] like Figure 1 As shown, this embodiment provides a method for immediate data collection upon installation of an electricity meter. This method is applied to a system environment consisting of an electricity meter, concentrator, data collection system, and marketing system. The data is collected at the corresponding distribution area and line for line loss calculation. The method includes the following steps:

[0032] S1. After the electricity meter is powered on, the communication module STA of the electricity meter obtains the address of the electricity meter as the communication address and sends a network access application to the central coordinator CCO of the concentrator.

[0033] After the S2 and STA communication modules successfully join the network, they obtain device information from the electricity meter, including the communication address and communication protocol type, and actively report it to the concentrator.

[0034] S3. The concentrator receives the reported device information and compares it with the files in the concentrator. If it is a newly installed device, an unknown energy meter discovery event is generated and reported to the data acquisition system.

[0035] S4. After receiving the event of discovering an unknown electricity meter reported by the concentrator, the data acquisition system checks it against the electricity meter asset file in the marketing system to obtain asset information.

[0036] S5. The data acquisition system creates a temporary file to store the connection relationship between the concentrator and the electricity meter, and notifies the front-end to update the cache; the data acquisition system generates and sends the meter reading parameters, initiates the debugging process, and synchronizes the time with the electricity meter. After successful synchronization, the data acquisition system feeds back the debugging results to the mobile phone back clip and the marketing system.

[0037] S6. The marketing system pushes complete user and electricity meter information to the electricity information collection system through business expansion, meter replacement and other processes. The collection system updates the self-built temporary files into formal files.

[0038] S7. The acquisition system uses station area physical topology identification technology and HPLC station area identification technology to adjust the IoT relationship of the equipment.

[0039] This technical solution enables the communication module STA to automatically acquire and report communication addresses and device information to the concentrator after the electricity meter is powered on, achieving initial device identification and network access. After comparing the data files, the concentrator reports unknown device events to the data acquisition system, triggering the asset information verification process between the system and the marketing system to ensure the accuracy and completeness of device information. Based on this, the data acquisition system creates temporary files and stores device connection relationships, while automatically generating and distributing meter reading parameters and initiating remote debugging to achieve real-time data acquisition and time synchronization of the devices. Finally, by utilizing the physical topology of the distribution area and HPLC distribution area identification technology, the IoT relationship of the devices is dynamically adjusted to ensure that the electricity meter can be accurately assigned to the corresponding distribution area and line, effectively participating in line loss calculation, thereby constructing an efficient, automatic, and accurate electricity meter access and management system.

[0040] According to one embodiment of the present invention, in step S2, the communication module STA reads the downstream device information and immediately reports it to the concentrator. In this technical solution, the communication module STA reads and reports the information immediately, allowing the concentrator to promptly grasp the downstream device information, avoiding information delays and ensuring the timeliness of power grid management decisions.

[0041] According to one embodiment of the present invention, in step S3, the concentrator needs to support periodically reading device information from the Central Coordinator (CCO) and comparing it with the data collected within the concentrator to generate an unknown energy meter event, preventing omissions. The generation of unknown energy meter events in this technical solution allows managers to quickly locate problems, accurately handle abnormal device information, and improve the efficiency of power grid equipment management.

[0042] According to an embodiment of the present invention, in step S4, the acquisition system supports automatic debugging functions, including automatic time synchronization, automatic generation and distribution of meter reading parameters, and automatic recall of real-time voltage data to confirm the correct distribution of equipment parameters. In this technical solution, automatic time synchronization ensures time synchronization among all devices within the acquisition system, providing a unified time reference for data acquisition; automatic generation and distribution of meter reading parameters precisely configures acquisition tasks based on different device types and acquisition requirements, ensuring the accuracy and relevance of data acquisition; automatic recall of real-time voltage data verifies the correctness of the distributed equipment parameters, forming a closed-loop management system through real-time data feedback.

[0043] According to an embodiment of the present invention, in step S4, the automatic debugging function includes automatically matching the data acquisition scheme issued by the concentrator based on the user type corresponding to the unknown device. When the user type is newly added, the data acquisition scheme is automatically issued. In this technical solution, the system pre-stores data acquisition scheme templates corresponding to different user types, and uses data classification and association technology to establish a mapping relationship between unknown device information and user types. When a newly added user type device is identified, the system automatically selects and issues a suitable data acquisition scheme from the scheme library according to preset rules and algorithms. By increasing consideration of the diversity and variability of power data acquisition services, the system achieves accurate matching between the data acquisition scheme and the user type through intelligent means.

[0044] According to an embodiment of the present invention, in step S5, the acquisition system supports automatic storage of data from unknown devices, establishes a temporary data storage table, and supports automatic storage of measurement and acquisition data sent by unknown devices, including curve tables, daily frozen energy value tables, and event tables. In this technical solution, when the acquisition system detects that an unknown device has accessed and sent data, the automatic storage function is immediately activated. The system first creates a temporary data storage table as the initial storage area for the data from unknown devices; for different types of data sent by unknown devices, the acquisition system performs targeted processing; measurement data, such as real-time voltage and current, are directly stored in the corresponding area of ​​the temporary data storage table; the system further classifies and stores the data according to its characteristics; the curve table is used to record the measurement data of the device changing over time, and the system will organize the measurement data and store it in the curve table according to a preset time interval to reflect the dynamic changes in the device status; the daily frozen energy value table stores the energy value at a specific time each day, and the system extracts relevant data at a fixed time each day and stores it in this table; the event table is used to record various event information that occurs on the device, and when the unknown device generates an event and sends data, the system will store these event data in the event table. The entire process is completed automatically without human intervention.

[0045] According to an embodiment of the present invention, in step S5, the data acquisition system supports WEB functionality and supports querying relevant information, debugging results, data and statistical information of unknown devices by unit, time period, device type, station area / user name, concentrator address / asset number, which facilitates user management and monitoring. In this technical solution, when a user needs to query information about unknown devices, they can initiate the operation using the web function of the data acquisition system. After entering the web interface, the user selects the appropriate query dimension according to their needs in the query condition input area. If querying by unit, the system will filter out all relevant records of unknown devices under that unit in the database. When querying by time period, the system will accurately locate the activity information of unknown devices within the selected time period. After selecting the device type, only the details of unknown devices of that type will be displayed. Entering the area / user name can quickly obtain the data of unknown devices in the corresponding area. Entering the concentrator address / asset number can accurately locate the information of unknown devices associated with a specific concentrator. After completing the condition settings and clicking the query button, the system's backend database performs retrieval and matching based on these conditions, extracting the relevant information, debugging results, data, and statistical information of the unknown devices that meet the conditions, and presenting them on the web interface. By viewing this information, users can clearly understand the status and debugging situation of unknown devices, thereby achieving efficient management and real-time monitoring of unknown devices and ensuring the stable operation of the entire data acquisition system.

[0046] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and all such modifications should be within the scope of the invention. Any variations that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the invention should also be included within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A method for immediate data collection upon installation of electricity meters, applied in a system environment consisting of carrier meters, concentrators, data acquisition systems, and marketing systems, to collect data at the corresponding distribution area and line for line loss calculation, characterized in that... The new installation method includes the following steps: S1. After the electricity meter is powered on, the communication module STA of the electricity meter obtains the address of the electricity meter as the communication address and sends a network access application to the central coordinator CCO of the concentrator. After the S2 and STA communication modules successfully join the network, they obtain device information from the electricity meter, including the communication address and communication protocol type, and actively report it to the concentrator. S3. The concentrator receives the reported device information and compares it with the files in the concentrator. If it is a newly installed device, an unknown energy meter discovery event is generated and reported to the data acquisition system. S4. After receiving the event of discovering an unknown electricity meter reported by the concentrator, the data acquisition system checks it against the electricity meter asset file in the marketing system to obtain asset information. S5. The data acquisition system creates its own temporary files to store the connection relationship between the concentrator and the electricity meter, and notifies the front-end to update the cache. The data acquisition system generates and distributes meter reading parameters, initiates the debugging process, and synchronizes the time with the electricity meter. After successful synchronization, the data acquisition system feeds back the debugging results to the mobile phone case and the marketing system. S6. The marketing system pushes complete user and electricity meter information to the electricity information collection system through business expansion, meter replacement and other processes. The collection system updates the self-built temporary files into formal files. S7. The acquisition system uses station area physical topology identification technology and HPLC station area identification technology to adjust the IoT relationship of the equipment.

2. The method for immediate installation and monitoring of new electricity meters according to claim 1, characterized in that, In step S2, the communication module STA reads the information of the downstream device and immediately reports it to the concentrator.

3. The method for immediate installation and sampling of new energy meters according to claim 2, characterized in that, In step S3, the concentrator needs to support periodically reading the device information in the central coordinator (CCO) and comparing it with the data collected in the concentrator to generate unknown energy meter events, thus preventing omissions.

4. The method for immediate installation and sampling of new electricity meters according to claim 3, characterized in that, In step S4, the data acquisition system supports automatic debugging functions, including automatic time synchronization, automatic generation and distribution of meter reading parameters, and automatic collection of real-time voltage data to confirm that the equipment parameters are correctly distributed.

5. The method for immediate installation and sampling of new electricity meters according to claim 4, characterized in that, In step S4, the automatic debugging function includes automatically matching the collection scheme issued by the concentrator according to the user type corresponding to the unknown device. When the user type is newly added, the collection scheme is automatically issued.

6. The method for immediate installation and monitoring of new electricity meters according to claim 5, characterized in that, In step S5, the acquisition system supports the automatic storage function of data from unknown devices, establishes a temporary data storage table, and supports the automatic storage of measurement and acquisition data sent by unknown devices, including curve tables, daily frozen energy value tables, and event tables.

7. The method for immediate installation and monitoring of new energy meters according to claim 6, characterized in that, In step S5, the data acquisition system supports WEB functionality and allows users to query information, debugging results, data, and statistics of unknown devices by unit, time period, device type, area / user name, and concentrator address / asset number, facilitating user management and monitoring.

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