Digital meter system of transformer substation

Abstract

The invention discloses a transformer substation digital meter system, and belongs to the technical field of transformer substations. The transformer substation digital meter system comprises a data collection module, an AI intelligent meter reading module, an SCADA data calling module, a system butt joint module and an intelligent meter data fusion terminal. According to the invention, the problem that the digital remote transmission of the reading of the existing transformer substation meter cannot cover all meters in the transformer substation is solved, and all meters in the transformer substation can be obtained through the data collection module, the AI intelligent meter reading module, the SCADA data calling module and the system docking module; therefore, the digital remote transmission coverage range of the meter reading of the transformer substation is expanded to all meters in the transformer substation, the on-site copying work of operation and inspection personnel is reduced to the greatest extent, and meanwhile, a data remote transmission function can be realized in a wired or wireless manner, so that the flexibility of data remote transmission is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer substations, in particular to a digital meter system for a transformer substation. Background Art

[0002] Substation meters refer to equipment used to monitor and record electricity usage, mainly including electricity meters, voltmeters, and ammeters. These meters play a vital role in substations, helping managers understand electricity usage and ensure the stable operation of the power grid. Substation meters are an important basis for statistical electricity usage information. In order to improve the accuracy of electricity usage information, it is necessary to monitor the status of meters in real time, detect abnormal meters in a timely manner, and quickly handle faults so that all meters in the substation are in a normal operating state. However, the existing substation meters have the following problems: traditional substation digital remote meters only specify four types of digital remote meters and cannot cover all meters in the station, thereby increasing the workload of on-site transcription for operation and maintenance personnel; therefore, it does not meet existing needs. For this reason, we have proposed a substation digital meter system. Summary of the Invention

[0003] The purpose of the present invention is to provide a digital metering system for substations. Through a data collection module, an AI intelligent meter reading module, a SCADA data retrieval module and a system docking module, the coverage of digital remote transmission of substation meter readings is expanded to all meters in the station. At the same time, the data remote transmission function can be realized by wired or wireless means, thereby solving the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solution: a digital metering system for a substation, comprising: Data aggregation module, used to: Through wired or wireless communication, meter data with digital remote transmission function is collected to the smart meter data fusion terminal; AI intelligent meter reading module for: Use AI visual recognition sensors to obtain meter data that does not have digital remote transmission capabilities, and aggregate the acquired meter data to the smart meter data fusion terminal through wired or wireless communication; SCADA data retrieval module, used for: The intelligent meter data fusion terminal directly retrieves meter data from the SCADA system; System docking module, used for: Through system interface docking and using the DL / T860 communication protocol, the meter data in the integrated power supply system within the station is collected into the intelligent meter data fusion terminal; Smart meter data fusion terminal, used for: The meter data obtained by the data collection module, AI intelligent meter reading module, SCADA data retrieval module and system docking module are collected in a unified manner, and unified data interaction is carried out with the auxiliary system.

[0005] Furthermore, the data collection module and the AI ​​intelligent meter reading module both use wired or wireless communication: Wired communication: Wired power supply and transmission are adopted, and meter data is transmitted through Modbus protocol; Wireless communication: battery powered and wireless transmission mode are used to transmit meter data through LoRa and WIFI protocols.

[0006] Furthermore, the data collection module includes: Data acquisition module for: Collect meter data with digital remote transmission function and pre-process the collected meter data; Data confirmation module, used for: Confirm the collected meter data through sensor technology and AI solutions; Data transmission module for: After the meter data is confirmed, it is transmitted to the smart meter data fusion terminal through wired or wireless communication.

[0007] Furthermore, the preprocessing includes: Outlier processing: Use threshold method, box plot method or principal component analysis method to process outliers in meter data; Noise processing: Use adaptive filtering or nonlinear filtering to process the noise in meter data.

[0008] Furthermore, the data confirmation module executes the following process: Use sensor technology to monitor meter data in real time; Comparing the meter data monitored in real time with a pre-set threshold, wherein the threshold includes an accuracy threshold, an operating range threshold, a temperature threshold, or a load threshold; Determine whether there is an abnormality based on the comparison results; If there is an abnormal situation, the AI ​​solution will be triggered immediately to confirm the meter data; The AI ​​solution uses AI algorithms and deep learning technology to model and train large amounts of historical data; Automatically identify anomalies in meter data through trained models.

[0009] Furthermore, the AI ​​visual recognition sensor has the following functions: Conversion function: Used to directly convert image information into reading information through the built-in edge computing function of AI visual recognition sensors; Self-check function: used to monitor the working status of the AI ​​visual recognition sensor in real time and issue an alarm immediately when a fault or abnormality occurs.

[0010] Furthermore, the SCADA data retrieval module includes: Rule setting module, used to: Set data retrieval rules in the SCADA system, including retrieval frequency, time period, and query conditions; Data retrieval module, used for: According to the set data retrieval rules, the intelligent meter data fusion terminal directly retrieves meter data from the SCADA system; Data security module for: Set permissions for the SCADA system and control unauthorized access to the smart meter data fusion terminal through permission control.

[0011] Furthermore, the data retrieval module includes: Abnormal alarm module, used for: Monitor whether the data retrieval module retrieves meter data from the SCADA system in accordance with data retrieval rules; If the data is not retrieved according to the rules, an alarm will be triggered immediately and the staff will be notified.

[0012] Furthermore, the system docking module is specifically: Interface definition module, used for: Define unified interface standards, including data formats and communication protocols; Collection and processing module, used for: Based on the defined interface standards, through the system interface docking and using the DL / T860 communication protocol, meter data in the integrated power system within the station is collected and processed, including deduplication and filtering.

[0013] Furthermore, the smart meter data fusion terminal includes: Data interaction module, used for: Interact with auxiliary systems, including transmitting meter data acquired by the data collection module, AI intelligent meter reading module, SCADA data retrieval module, and system docking module to the auxiliary systems; Among them, the auxiliary system displays meter data in the form of graphics, charts and tables, and has automatic summary and print output functions.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The data collection module of the present invention collects data from meters that already have digital remote transmission functions to the smart meter data fusion terminal through wired or wireless communication, and uploads it to the auxiliary control system. For such meters, a sensor plus AI solution can be used to perform double confirmation of data to ensure the accuracy and reliability of data collection. For a large number of meters that do not have digital remote transmission functions in the short term, the AI ​​smart meter reading module can collect data from the smart meter data fusion terminal through wired or wireless communication, and upload it to the auxiliary control system. The SCADA data retrieval module can directly retrieve data from the SCADA system through the system interface. Data can be retrieved from the CADA system without the need to collect data through other channels, which can save time and improve work efficiency. The system docking module can connect the system interface to the meters in the integrated power supply system in the station, collect them to the smart meter data fusion terminal using the DL / T860 communication protocol, and upload them to the auxiliary control system, which can ensure the security of the data and improve the accuracy of data collection. Based on the above operations, the coverage of digital remote transmission of substation meter readings can be expanded to all meters in the station. At the same time, based on the actual situation, wired or wireless methods can be selected to realize the data remote transmission function to improve the flexibility of data remote transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a module diagram of the digital meter system for a substation according to the present invention; Figure 2 This is a structural diagram of the digital meter system for a substation according to the present invention; Figure 3 It is a transmission diagram of the digital meter system of a substation of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] This invention attaches great importance to user privacy protection and ensures the security and confidentiality of user data through the following technical measures: Edge proxy server (edge ​​proxy) architecture: This architecture ensures that sensitive data is processed locally, with no data transmitted back, fundamentally preventing data leaks. The edge proxy server, acting as a network security bastion, closes its ports to the outside world, effectively isolating the camera from direct connection to the internet, reducing the risk of hacker attacks.

[0018] Self-developed cameras and private protocols: Use completely self-developed cameras and connect to edge devices only through private protocols, avoiding docking with any external cloud platform to ensure the security and independence of data transmission.

[0019] Authoritatively certified localized analysis: The localized analysis mode has been certified by an authoritative organization to ensure the authenticity and reliability of data protection, allowing users to use it with confidence.

[0020] Millimeter-wave radar technology: In private spaces like bedrooms and bathrooms, millimeter-wave radar technology is used to detect the position and movement of objects without capturing faces or other recognizable visual information, better protecting personal privacy. Millimeter-wave radar can also non-contactly monitor physiological parameters such as heart rate, respiratory rate, and body movement, providing capabilities that ordinary cameras cannot achieve.

[0021] Data encryption and secure transmission: Data is encrypted and tamper-proofed through technologies such as asymmetric encryption, secure hash algorithms, and TLS / SSL protocols to ensure the security and integrity of data during transmission.

[0022] No private information is collected: The system only analyzes data through edge cameras and sensors and provides nursing alarm notifications. It does not collect sensitive information such as the user's name, ID card, address, etc., ensuring user privacy and security.

[0023] Stickman processing: The algorithm processing center processes all personal information into stickman form to avoid storing or transmitting physical photos or videos, further protecting user privacy.

[0024] These privacy protection measures are implemented throughout every module and data processing process of the system, ensuring that while providing efficient services, the privacy rights and interests of users are fully respected and protected.

[0025] To solve the technical problem that the existing digital remote transmission meters in substations only cover four types of digital remote transmission meters and cannot cover all meters in the station, thus increasing the workload of on-site transcription for operation and inspection personnel, please refer to Figure 1-Figure 3 , this embodiment provides the following technical solutions: Substation digital metering system, including: The data collection module is suitable for meters that have digital remote transmission functions and is used for: Through wired or wireless communication, meter data with digital remote transmission capabilities is collected and transferred to the smart meter data fusion terminal. Key meters (such as transformer oil temperature and oil level gauges) can achieve dual data confirmation through a sensor-based AI solution. AI intelligent meter reading module for: Use AI visual recognition sensors (e.g., AI recognition cameras) to acquire meter data that does not have digital remote transmission capabilities, and aggregate the acquired meter data to the smart meter data fusion terminal through wired or wireless communication; SCADA data retrieval module, used for: The intelligent meter data fusion terminal directly retrieves meter data from the SCADA system; System docking module, used for: Through system interface docking and using the DL / T860 communication protocol, the meter data in the integrated power supply system within the station is collected into the intelligent meter data fusion terminal; Smart meter data fusion terminal, used for: The meter data obtained by the data collection module, AI intelligent meter reading module, SCADA data retrieval module and system docking module are collected in a unified manner, and unified data interaction is carried out with the auxiliary system.

[0026] As shown in Table 1, based on the meters inspected within the station, corresponding technical routes can be selected, including digital meters, AI meter reading, SCADA retrieval, and system docking.

[0027] Table 1 The technical effects of the above content are as follows: the data collection module is applicable to meters that already have digital remote transmission functions, and can collect meter data through wired or wireless communication. For such meters, sensors plus AI solutions can be used for double confirmation of data to ensure the accuracy and reliability of data collection. The AI ​​smart meter reading module is applicable to a large number of meters that do not have digital remote transmission functions in the short term, and can collect meter data through wired or wireless communication. The SCADA data retrieval module can directly retrieve data that has been connected to the SCADA system from the SCADA system through the system interface, eliminating the need for collection through other channels, thereby saving time and improving work efficiency. The system docking module is for meters in the integrated power supply system within the station, and can aggregate data through the DL / T860 communication protocol through system interface docking, which not only ensures data security but also improves the accuracy of data collection. Based on the above operations, the coverage of digital remote transmission of substation meter readings can be expanded to all meters within the station. At the same time, based on actual conditions, wired or wireless methods can be selected to implement data remote transmission functions to improve the flexibility of data remote transmission.

[0028] The data collection module and AI smart meter reading module both use wired or wireless communication, including: Wired communication: Wired power supply and transmission are used, and meter data is transmitted via the Modbus protocol. The AI ​​recognition camera can be powered synchronously via a 12V network cable to reduce the need for power lines. Wireless communication: battery powered and wireless transmission mode are used to transmit meter data through LoRa and WIFI protocols.

[0029] The technical effects of the above content are: wired communication has the characteristics of stable data transmission and less subsequent maintenance workload, and wireless communication has the characteristics of not requiring construction and being suitable for complex on-site environments. In actual use, it is necessary to comprehensively consider factors such as on-site wiring flexibility, network stability, and maintenance convenience, and select wired or wireless remote sensing modules to realize data remote transmission functions, thereby improving the flexibility of data remote transmission.

[0030] Data collection module, including: Data acquisition module for: Collect meter data with digital remote transmission function and pre-process the collected meter data; Data confirmation module, used for: Confirm the collected meter data through sensor technology and AI solutions; Data transmission module for: After the meter data is confirmed, it is transmitted to the smart meter data fusion terminal through wired or wireless communication.

[0031] The technical effect of the above content is: the data acquisition module is used to collect and pre-process the meter data that already has the digital remote transmission function to improve the accuracy of the meter data, and the data confirmation module can perform dual confirmation of the meter data through sensors and AI solutions, thereby ensuring the accuracy and reliability of data collection. After confirmation, the data transmission module selects wired or wireless communication according to the actual situation to transmit the meter data to the intelligent meter data fusion terminal, thereby realizing remote transmission of meters with digital remote transmission functions.

[0032] Preprocessing, including: Outlier processing: Use the threshold method, box plot method or principal component analysis method to process outliers in meter data, where: Threshold method: by setting a threshold for meter data, meter data greater than the threshold is regarded as an outlier; The box plot method determines whether there are abnormalities in the meter data by calculating the median, upper and lower quartiles and other statistics of the meter data; Principal component analysis, through dimensionality reduction, converts complex multivariate data into simple two-dimensional images to detect anomalies; Noise processing: Adaptive filtering or nonlinear filtering is used to process the noise in the meter data, where: Adaptive filtering method, which adaptively adjusts the filter parameters according to the characteristics of the noise to achieve better denoising effect; Nonlinear filtering methods, such as sliding average filtering and Kalman filtering, can smooth noise.

[0033] The technical effect of the above content is: through outlier processing and noise processing, outliers and noise in meter data can be removed or minimized, thereby effectively ensuring the quality of data processing.

[0034] The data confirmation module executes the following process: Use sensor technology to monitor meter data in real time; Comparing the meter data monitored in real time with a pre-set threshold, wherein the threshold includes an accuracy threshold, an operating range threshold, a temperature threshold, or a load threshold; Determine whether there is an abnormality based on the comparison results; If there is an abnormal situation, the AI ​​solution will be triggered immediately to confirm the meter data; The AI ​​solution uses AI algorithms and deep learning technology to model and train large amounts of historical data; Automatically identify anomalies in meter data through trained models.

[0035] The technical effect of the above content is: in the digital meter mode, for key meters (such as transformer oil temperature gauges and oil level gauges), double data confirmation can be performed through sensors plus AI solutions to ensure reliable acquisition of key parameters.

[0036] AI visual recognition sensor with the following functions: Conversion function: Used to directly convert image information into reading information through the built-in edge computing function of AI visual recognition sensors; Self-check function: used to monitor the working status of the AI ​​visual recognition sensor in real time and issue an alarm immediately when a fault or abnormality occurs.

[0037] The technical effect of the above content is: through the built-in edge computing function of the AI ​​visual recognition sensor, image information can be directly converted into reading information, and the AI ​​visual recognition sensor can be divided into three categories: outdoor, indoor, and cabinet. It can be applied to various typical meter identifications such as dial pointer type, mechanical digital display type, LCD digital display type, etc. The AI ​​visual recognition sensor has the advantages of small size, lightweight, easy installation, and no impact on daily operation and maintenance work. The AI ​​visual recognition sensor itself has the ability of self-detection of status, realizing stable operation and maintenance-free throughout the life cycle.

[0038] SCADA data retrieval module, including: Rule setting module, used to: Set data retrieval rules in the SCADA system, including retrieval frequency, time period, and query conditions; Data retrieval module, used for: According to the set data retrieval rules, the intelligent meter data fusion terminal directly retrieves meter data from the SCADA system; Data security module for: Set permissions for the SCADA system and control unauthorized access to the smart meter data fusion terminal through permission control.

[0039] The technical effect of the above content is: the rule setting module sets data retrieval rules in the SCADA system as needed to meet the needs of different scenarios. The data retrieval module follows the set data retrieval rules, and the smart meter data fusion terminal directly retrieves meter data from the SCADA system without the need to collect data through other channels, thereby saving time and improving work efficiency. In order to ensure the security of SCADA data, the data security module can prevent unauthorized access and data leakage through permission control.

[0040] Data retrieval module, including: Abnormal alarm module, used for: Monitor whether the data retrieval module retrieves meter data from the SCADA system in accordance with data retrieval rules; If the data is not retrieved according to the rules, an alarm will be triggered immediately and the staff will be notified.

[0041] The technical effect of the above content is: real-time monitoring of the data retrieval module is achieved through the abnormal alarm module. Once a problem is found, the staff can be immediately notified through the abnormal alarm to avoid data leakage due to incorrect data retrieval.

[0042] System docking module, specifically: Interface definition module, used for: Define unified interface standards, including data formats and communication protocols; Collection and processing module, used for: Based on the defined interface standards, through the system interface docking and using the DL / T860 communication protocol, meter data in the integrated power system within the station is collected and processed, including deduplication and filtering.

[0043] The technical effect of the above content is: a unified interface standard is defined through the interface definition module, including data format, message protocol, communication protocol, etc., so that all devices can be compatible and connected. The collection and processing module is connected through the system interface and adopts the DL / T860 communication protocol. It can collect and process the meter data in the integrated power supply system in the station, which can not only ensure the security of the data, but also improve the accuracy of data collection.

[0044] Smart meter data fusion terminal, including: Data interaction module, used for: Interact with auxiliary systems, including transmitting meter data acquired by the data collection module, AI intelligent meter reading module, SCADA data retrieval module, and system docking module to the auxiliary systems; Among them, the auxiliary system displays meter data in the form of graphics, charts and tables, and has automatic summary and print output functions.

[0045] The technical effect of the above content is: the intelligent meter data fusion terminal undertakes the unified collection function of multiple types of meter readings (for example: protocol converter), and can uniformly access all digital meter information, including but not limited to opening the following State Grid standard protocols: network port (TCP, UDP), LORA and WIFI (LORA and WIFI, LORA and WIFIWAN), serial port (RS-485, RS-232), DL / T680, DL / T104, etc. The intelligent meter data fusion terminal has a flexible installation method and can perform unified data interaction with the auxiliary control system. At the same time, the auxiliary system displays the meter data in the form of graphics, charts and tables, and has automatic summary and print output functions, which can eliminate the manual meter reading workload of operation and maintenance personnel in previous comprehensive inspections, and greatly reduce the labor intensity and workload of operation and maintenance personnel.

[0046] Working principle: Through the data collection module, AI intelligent meter reading module, SCADA data retrieval module and system docking module, the digital remote transmission coverage of substation meter readings is expanded to all meters in the station, which can minimize the on-site transcription work of operation and maintenance personnel. At the same time, based on the actual situation, wired or wireless methods can be selected to realize the data remote transmission function to improve the flexibility of data remote transmission.

[0047] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0048] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. Substation digital meter system, characterized by: include: Data aggregation module, used to: Through wired or wireless communication, meter data with digital remote transmission function is collected to the smart meter data fusion terminal; AI intelligent meter reading module for: Use AI visual recognition sensors to obtain meter data that does not have digital remote transmission capabilities, and aggregate the acquired meter data to the smart meter data fusion terminal through wired or wireless communication; SCADA data retrieval module, used for: The intelligent meter data fusion terminal retrieves meter data from the SCADA system; System docking module, used for: Through system interface docking and using the DL / T860 communication protocol, the meter data in the integrated power supply system within the station is collected into the intelligent meter data fusion terminal; Smart meter data fusion terminal, used for: The meter data obtained by the data collection module, AI intelligent meter reading module, SCADA data retrieval module and system docking module are collected in a unified manner, and unified data interaction is carried out with the auxiliary system.

2. The substation digital meter system according to claim 1, characterized in that: The data collection module and AI intelligent meter reading module both adopt wired or wireless communication, wherein: Wired communication: Wired power supply and transmission are adopted, and meter data is transmitted through Modbus protocol; Wireless communication: battery powered and wireless transmission mode are used to transmit meter data through LoRa and WIFI protocols.

3. The substation digital meter system according to claim 1, characterized in that: The data collection module includes: Data acquisition module for: Collect meter data with digital remote transmission function and pre-process the collected meter data; Data confirmation module, used for: Confirm the collected meter data through sensor technology and AI solutions; Data transmission module for: After the meter data is confirmed, it is transmitted to the smart meter data fusion terminal through wired or wireless communication.

4. The digital metering system for substations according to claim 3, characterized in that: The preprocessing comprises: Outlier processing: Use threshold method, box plot method or principal component analysis method to process outliers in meter data; Noise processing: Use adaptive filtering or nonlinear filtering to process the noise in meter data.

5. The substation digital meter system according to claim 3, characterized in that: The data confirmation module executes the following process: Use sensor technology to monitor meter data in real time; Comparing the meter data monitored in real time with a pre-set threshold, wherein the threshold includes an accuracy threshold, an operating range threshold, a temperature threshold, or a load threshold; Determine whether there is an abnormality based on the comparison results; If there is an abnormal situation, the AI ​​solution will be triggered immediately to confirm the meter data; The AI ​​solution uses AI algorithms and deep learning technology to model and train large amounts of historical data; Automatically identify anomalies in meter data through trained models.

6. The digital metering system for substations according to claim 1, characterized in that: The AI ​​visual recognition sensor has the following functions: Conversion function: Used to directly convert image information into reading information through the built-in edge computing function of AI visual recognition sensors; Self-check function: used to monitor the working status of the AI ​​visual recognition sensor in real time and issue an alarm immediately when a fault or abnormality occurs.

7. The substation digital meter system according to claim 1, characterized in that: The SCADA data retrieval module includes: Rule setting module, used to: Set data retrieval rules in the SCADA system, including retrieval frequency, time period, and query conditions; Data retrieval module, used for: According to the set data retrieval rules, the intelligent meter data fusion terminal retrieves meter data from the SCADA system; Data security module for: Set permissions for the SCADA system and control unauthorized access to the smart meter data fusion terminal through permission control.

8. The digital metering system for substations according to claim 7, characterized in that: The data retrieval module includes: Abnormal alarm module, used for: Monitor whether the data retrieval module retrieves meter data from the SCADA system in accordance with data retrieval rules; If the data is not retrieved according to the rules, an alarm will be triggered immediately and the staff will be notified.

9. The digital metering system for substations according to claim 1, characterized in that: The system docking module is specifically: Interface definition module, used for: Define unified interface standards, including data formats and communication protocols; Collection and processing module, used for: Based on the defined interface standards, through the system interface docking and using the DL / T860 communication protocol, meter data in the integrated power system within the station is collected and processed, including deduplication and filtering.

10. The digital metering system for substations according to claim 1, characterized in that: The smart meter data fusion terminal includes: Data interaction module, used for: Interact with auxiliary systems, including transmitting meter data acquired by the data collection module, AI intelligent meter reading module, SCADA data retrieval module, and system docking module to the auxiliary systems; Among them, the auxiliary system displays meter data in the form of graphics, charts and tables, and has automatic summary and print output functions.

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