A power distribution terminal data communication monitoring method and device and related equipment

Abstract

The application discloses a power distribution terminal data communication monitoring method and device and related equipment, and relates to the technical field of power distribution terminals. The method comprises the following steps: acquiring a communication message monitored by a data recorder through a serial communication module, wherein the data recorder is installed between a power distribution terminal and a communication module in advance through a serial port bridging mode; analyzing the communication message based on a message protocol of the power distribution terminal to obtain four-remote data monitored; comparing the four-remote data monitored with four-remote data received by a master station to obtain a data accuracy evaluation result; and comparing the communication message with original messages of the power distribution terminal to obtain a data integrity evaluation result. The application does not affect the original communication environment during the monitoring process, reduces the possibility of interference, and records complete communication messages with high data accuracy. After analysis and processing, the application can obtain the mis-sending, missing-sending and multiple-sending of communication messages between the power distribution terminal and the master station, which is convenient for the advance access of operation and maintenance personnel and improves work efficiency.

Description

Technical Field

[0001] This application relates to the field of power distribution network technology, and more specifically, to a method, device and related equipment for monitoring data communication of power distribution terminals. Background Technology

[0002] The data transmitted by distribution network automation terminals is becoming increasingly dimensional and dense, potentially leading to disconnections and communication instability in numerous FTUs (Feeder Terminal Units) and DTUs (Diverter Terminal Units). Since the communication loop between the master station and FTUs / DTUs involves the master station, telecommunications operators, and 4G module manufacturers, significant manpower and time are required to troubleshoot each link in the chain when communication anomalies occur. Early intervention to address these communication issues would greatly benefit power grid operation and maintenance. Summary of the Invention

[0003] In view of this, this application provides a method, device and related equipment for monitoring data communication of power distribution terminals, so as to detect communication anomalies in power distribution terminals in a timely manner.

[0004] To achieve the above objectives, the first aspect of this application provides a method for monitoring data communication in a power distribution terminal, comprising:

[0005] The data logger acquires communication messages monitored by the serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0006] Based on the message protocol of the power distribution terminal, the communication message is parsed to obtain the monitored remote data.

[0007] The monitored remote sensing data is compared with the remote sensing data received by the main station to obtain the data accuracy assessment result;

[0008] The communication message is compared with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0009] Preferably, the data accuracy assessment result includes a data accuracy assessment value;

[0010] After obtaining the data accuracy assessment results, the following is also included:

[0011] If the data accuracy assessment value is less than the preset accuracy threshold, the monitored remote sensing data will be used to analyze the power grid operation data.

[0012] Preferably, the process of analyzing the power grid's operational data using the monitored remote sensing, telemetry, and remote telemetry data includes:

[0013] Acquire meteorological data, and perform cleaning, normalization, and anomaly detection operations on the meteorological data and the monitored remote sensing data to obtain the target data;

[0014] Feature extraction is performed on the target data to obtain feature information, which includes current, voltage, power factor, temperature, and humidity;

[0015] By combining machine learning, data mining techniques, and the aforementioned feature information, modeling and analysis are performed to obtain the analysis results;

[0016] The analysis results are presented in the form of reports and charts.

[0017] Preferably, after obtaining the data integrity assessment results, the method further includes:

[0018] The data formats and protocols of each terminal device are standardized.

[0019] Preferably, the process of standardizing the data format and data protocol of each terminal device includes:

[0020] Generate standardized data formats, data protocols, and data interfaces;

[0021] Data from different data sources are integrated using the data interface to obtain a complete dataset.

[0022] A data warehouse is created based on the data format, the data protocol, and the data interface.

[0023] Preferably, after standardizing the data format and data protocol of each terminal device, the method further includes:

[0024] Based on the preset fault warning mechanism, data accuracy assessment results, and data integrity assessment results, the warning information is reported to the management center of the power distribution terminal.

[0025] Preferably, the four remote data include power data, voltage data, current data, and switching data;

[0026] The power data includes active power data, reactive power data, and apparent power data;

[0027] The electricity data is used for electricity demand forecasting and scheduling optimization.

[0028] The voltage data is used for voltage analysis and adjustment;

[0029] The current data is used for overload analysis;

[0030] The switching data is used for switch fault detection.

[0031] A second aspect of this application provides a power distribution terminal data communication monitoring device, comprising:

[0032] A data monitoring unit is used to acquire communication messages monitored by a data logger through a serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0033] The data parsing unit is used to parse the communication messages based on the message protocol of the power distribution terminal to obtain the monitored remote data.

[0034] The accuracy assessment unit is used to compare the monitored remote sensing data with the remote sensing data received by the main station to obtain the data accuracy assessment result.

[0035] The integrity assessment unit is used to compare the communication message with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0036] A third aspect of this application provides a power distribution terminal data communication monitoring device, comprising: a memory and a processor;

[0037] The memory is used to store programs;

[0038] The processor is used to execute the program to implement each step of the above-described power distribution terminal data communication monitoring method.

[0039] The fourth aspect of this application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the various steps of the power distribution terminal data communication monitoring method described above.

[0040] As described in the above technical solution, this application first acquires the communication messages monitored by the data logger through a serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module. It can be understood that since the uplink data intercepted by the data logger has not yet been connected to the communication module, it is unaffected by communication quality and can accurately reflect the original data sent by the power distribution terminal. On the other hand, since the downlink data intercepted by the data logger has not yet been connected to the power distribution terminal, it is unaffected by the power distribution terminal's communication receiving module and can accurately reflect the actual data transmitted on the communication link. Then, based on the message protocol of the power distribution terminal, the communication messages are parsed to obtain the monitored remote sensing data. Next, the monitored remote sensing data is compared with the remote sensing data received by the master station to obtain a data accuracy assessment result. Finally, the communication messages are compared with the original messages of the power distribution terminal to obtain a data integrity assessment result. This application uses a data logger to monitor the communication messages of the power distribution terminal. The message recording is complete and the data is highly accurate, without affecting the original communication environment and reducing other possible interference. Furthermore, through the data accuracy assessment results and the data integrity assessment results, the missending, missing, and multiple sending of communication messages between the power distribution terminal and the master station can be obtained, which facilitates the early access of the master station maintenance personnel and improves work efficiency. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the power distribution terminal data communication monitoring method disclosed in the embodiments of this application;

[0043] Figure 2 This is a schematic diagram of the power distribution terminal data communication monitoring system framework disclosed in the embodiments of this application;

[0044] Figure 3 This is a schematic diagram of the power distribution terminal data communication monitoring device disclosed in the embodiments of this application;

[0045] Figure 4 This is a schematic diagram of the power distribution terminal data communication monitoring equipment disclosed in the embodiments of this application. Detailed Implementation

[0046] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0047] The following describes the power distribution terminal data communication monitoring method provided in the embodiments of this application. Please also refer to... Figure 1 and Figure 2 The power distribution terminal data communication monitoring method provided in this application embodiment may include the following steps:

[0048] Step S101: Obtain the communication messages monitored by the data logger through the serial communication module.

[0049] The data logger is pre-installed between the power distribution terminal and the communication module via a serial port bridge to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0050] The data logger can store the monitored communication messages in real time and transmit the data to the host computer via a serial communication module.

[0051] Data loggers can collect real-time data such as current and voltage in the distribution network, which facilitates real-time monitoring of the power grid's operating status, thereby predicting the power grid's operating condition, and promptly identifying potential problems for prevention and control.

[0052] Step S102: Based on the message protocol of the power distribution terminal, the communication message is parsed to obtain the monitored remote control data.

[0053] It is understandable that before parsing messages, it is necessary to clarify the parsing object and data format. The parsing object mainly includes the manufacturer and equipment type of the power distribution terminal, and the data format can include data fields and encoding formats such as telemetry, remote signaling, remote control, and remote adjustment.

[0054] For example, a host computer can be used to analyze the communication protocol. The analysis of the communication protocol includes aspects such as communication method, communication parameters and message structure. By analyzing the communication protocol, telemetry, teleindication and other data can be obtained, and the parsing of non-standard remote data can be completed according to the communication protocol.

[0055] Step S103: Compare the monitored remote sensing data with the remote sensing data received by the main station to obtain the data accuracy assessment result.

[0056] For example, a host computer can be used to analyze, process, and apply the power distribution network operation data to achieve power system monitoring, scheduling, and control, better understand the power grid operation, and thus provide support for power system scheduling and control.

[0057] The data logger records data to its built-in memory card, then exports the data and compares it with messages received by the main station during the same period. The comparison is done by integrating standard and non-standard data from both remote sensing and communication systems (RSS) to determine if the communications correspond. The distinction between standard and non-standard data is based on the degree of standardization. Standard data refers to data collected, managed, and exchanged according to unified standard formats and specifications established by the state, industry, or enterprise. Non-standard data refers to data that does not follow any standard formats or specifications.

[0058] Step S104: Compare the communication message with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0059] This process can detect whether there are extra or missing communication messages sent by the power distribution terminal.

[0060] This application first acquires communication messages monitored by a data logger via a serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger monitors the uplink and downlink communication data between the power distribution terminal and the communication module. It is understood that since the uplink data captured by the data logger has not yet been connected to the communication module, it is unaffected by communication quality and can accurately reflect the original data sent by the power distribution terminal. On the other hand, since the downlink data captured by the data logger has not yet been connected to the power distribution terminal, it is unaffected by the power distribution terminal's communication receiving module and can accurately reflect the actual data transmitted on the communication link. Then, based on the message protocol of the power distribution terminal, the communication messages are parsed to obtain the monitored remote sensing, remote control, and remote telemetry (RST) data. Next, the monitored RST data is compared with the RST data received by the master station to obtain a data accuracy assessment result. Finally, the communication messages are compared with the original messages of the power distribution terminal to obtain a data integrity assessment result. This application uses a data logger to monitor the communication messages of the power distribution terminal. The message recording is complete and the data is highly accurate, without affecting the original communication environment and reducing other possible interference. Furthermore, through the data accuracy assessment results and the data integrity assessment results, the missending, missing, and multiple sending of communication messages between the power distribution terminal and the master station can be obtained, which facilitates the early access of the master station maintenance personnel and improves work efficiency.

[0061] In some embodiments of this application, the data accuracy assessment result in step S103 may include a data accuracy assessment value.

[0062] After obtaining the data accuracy assessment result in step S103, it may also include:

[0063] Step S105: If the data accuracy assessment value is less than the preset accuracy threshold, the power grid operation data is analyzed using the monitored remote sensing data.

[0064] In some embodiments of this application, step S105, which involves analyzing the power grid's operational data using the monitored remote sensing data, may include:

[0065] S1: Acquire meteorological data, and perform cleaning, normalization, and anomaly detection operations on the meteorological data and the monitored remote sensing data to obtain the target data.

[0066] This step is a crucial foundation for data analysis and is key to ensuring the accuracy of subsequent analysis results.

[0067] S2, extract features from the target data to obtain feature information.

[0068] This feature information includes current, voltage, power factor, temperature, and humidity. For example, the current, voltage, power factor, temperature, and humidity data can be calculated, converted, and combined as needed to obtain more comprehensive and complete feature information.

[0069] S3. Combining machine learning, data mining techniques, and the aforementioned feature information, modeling and analysis are performed to obtain the analysis results.

[0070] Modeling and analysis can include prediction, classification, clustering, anomaly detection, etc. This step requires selecting different algorithms and models based on specific business needs and scenarios.

[0071] S4 presents the analysis results in the form of reports and charts.

[0072] Visual interfaces such as reports and charts are used to help users better understand and utilize the analysis results.

[0073] In some embodiments of this application, after obtaining the data integrity assessment result in step S104, the method may further include:

[0074] Step S106: Standardize the data format and data protocol of each terminal device.

[0075] This standardization process enables standardized management and operational control of components and equipment in the power system. These components and equipment can include intelligent converters, intelligent switchgear, and intelligent terminal controllers. Through standardized data formats and protocols, interconnection and interoperability control functions can be achieved.

[0076] In some embodiments of this application, step S106, which standardizes the data format and data protocol of each terminal device, may include:

[0077] S1 generates standardized data formats, data protocols, and data interfaces.

[0078] By standardizing data formats, protocols, and interfaces, we ensure that the data formats of different data sources are the same and standardized, and support data exchange and sharing.

[0079] S2 integrates data from different data sources using a data interface to obtain a complete dataset.

[0080] By establishing a unified interface, data from different data sources can be integrated to form a complete dataset. This allows different systems to interact and communicate with each other through the same interface.

[0081] In addition, suitable communication protocols can be selected and deployed to ensure secure and stable data transmission. Communication protocols include the physical layer, data link layer, and network layer, with commonly used protocols such as TCP / IP, Modbus, and CAN.

[0082] S3 creates data warehouses based on data formats, data protocols, and data interfaces.

[0083] By integrating elements such as format standards, protocols, and interfaces, a data warehouse is established to facilitate data analysis and processing. Furthermore, data storage methods and backup strategies must be considered to ensure data security and reliability.

[0084] After completing the above tasks, specific linkage control strategies can be designed and implemented according to business needs and scenarios. For example, automatic adjustment of environmental factors such as temperature and humidity can be achieved based on sensor data, or fault detection and early warning can be performed based on data analysis, thereby realizing intelligent automated control.

[0085] In some embodiments of this application, after standardizing the data format and data protocol of each terminal device in step S106, the method further includes:

[0086] Step S107: Based on the preset fault warning mechanism, data accuracy assessment results, and data integrity assessment results, report the warning information to the management center of the power distribution terminal.

[0087] In some embodiments of this application, the four remote data in step S102 may include power data, voltage data, current data, and switching data.

[0088] Specifically, the electricity data includes active power data, reactive power data, and apparent power data, which are used for electricity demand forecasting and scheduling optimization. For example, by comparing and analyzing electricity consumption, we can understand the electricity consumption of different time periods and different devices, thereby predicting future electricity demand and optimizing scheduling while ensuring power quality.

[0089] Voltage data is used for voltage analysis and adjustment. For example, by comparing and analyzing voltages, it is possible to understand whether the voltage of different devices meets the requirements, whether there are excessively high or low voltages, and then make timely adjustments.

[0090] Current data is used for overload analysis. For example, by comparing and analyzing the current, it is possible to understand whether the equipment is operating normally and whether there are problems such as overload.

[0091] Switching data is used for switch fault detection. For example, by comparing and analyzing switching data, it is possible to understand whether the switching status of system equipment is normal and to detect fault information in a timely manner.

[0092] Furthermore, error correction codes and checksums are employed to improve the accuracy of transmission and parsing. Error correction codes and checksums can be used to detect and correct errors and problems detected during message monitoring, thereby improving the accuracy of error correction and verification. Message monitoring can also monitor and diagnose the error correction codes and checksums themselves, detect whether there are security and reliability issues in data transmission, and promptly identify and investigate problems.

[0093] The following describes the power distribution terminal data communication monitoring device provided in the embodiments of this application. The power distribution terminal data communication monitoring device described below and the power distribution terminal data communication monitoring method described above can be referred to in correspondence.

[0094] Please see Figure 3 The power distribution terminal data communication monitoring device provided in this application embodiment may include:

[0095] The data monitoring unit 21 is used to acquire the communication messages monitored by the data logger through the serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via serial bridging. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0096] The data parsing unit 22 is used to parse the communication message based on the message protocol of the power distribution terminal to obtain remote data.

[0097] The accuracy assessment unit 23 is used to compare the four remote data with the four remote data received by the main station to obtain the data accuracy assessment result;

[0098] The integrity assessment unit 24 is used to compare the communication message with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0099] In some embodiments of this application, the data accuracy assessment result includes a data accuracy assessment value; after obtaining the data accuracy assessment result, the accuracy assessment unit 23 can also be used for:

[0100] If the data accuracy assessment value is less than the preset accuracy threshold, the monitored remote sensing data will be used to analyze the power grid operation data.

[0101] In some embodiments of this application, the process by which the accuracy assessment unit 23 analyzes the power grid operation data using the monitored remote sensing data may include:

[0102] Acquire meteorological data, and perform cleaning, normalization, and anomaly detection operations on the meteorological data and the monitored remote sensing data to obtain the target data;

[0103] Feature extraction is performed on the target data to obtain feature information, which includes current, voltage, power factor, temperature, and humidity;

[0104] By combining machine learning, data mining techniques, and the aforementioned feature information, modeling and analysis are performed to obtain the analysis results;

[0105] The analysis results are presented in the form of reports and charts.

[0106] In some embodiments of this application, after obtaining the data integrity assessment result, the integrity assessment unit 24 can also be used for:

[0107] The data formats and protocols of each terminal device are standardized.

[0108] In some embodiments of this application, the process by which the integrity assessment unit 24 standardizes the data format and data protocol of each terminal device may include:

[0109] Generate standardized data formats, data protocols, and data interfaces;

[0110] Data from different data sources are integrated using the data interface to obtain a complete dataset.

[0111] A data warehouse is created based on the data format, the data protocol, and the data interface.

[0112] In some embodiments of this application, after the integrity assessment unit 24 standardizes the data format and data protocol of each terminal device, it can also be used for:

[0113] Based on the preset fault warning mechanism, data accuracy assessment results, and data integrity assessment results, the warning information is reported to the management center of the power distribution terminal.

[0114] In some embodiments of this application, the four remote data include power data, voltage data, current data, and switching data;

[0115] The power data includes active power data, reactive power data, and apparent power data;

[0116] The electricity data is used for electricity demand forecasting and scheduling optimization.

[0117] The voltage data is used for voltage analysis and adjustment;

[0118] The current data is used for overload analysis;

[0119] The switching data is used for switch fault detection.

[0120] The power distribution terminal data communication monitoring device provided in this application embodiment can be applied to power distribution terminal data communication monitoring equipment, such as computers. Optionally, Figure 4 The hardware structure block diagram of the power distribution terminal data communication monitoring equipment is shown below. Figure 4 The hardware structure of the power distribution terminal data communication monitoring equipment may include: at least one processor 31, at least one communication interface 32, at least one memory 33 and at least one communication bus 34.

[0121] In this embodiment, the number of processor 31, communication interface 32, memory 33 and communication bus 34 is at least one, and processor 31, communication interface 32 and memory 33 communicate with each other through communication bus 34;

[0122] The processor 31 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0123] The memory 33 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device;

[0124] The memory 33 stores a program, and the processor 31 can call the program stored in the memory 33. The program is used for:

[0125] The data logger acquires communication messages monitored by the serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0126] Based on the message protocol of the power distribution terminal, the communication message is parsed to obtain the monitored remote data.

[0127] The monitored remote sensing data is compared with the remote sensing data received by the main station to obtain the data accuracy assessment result;

[0128] The communication message is compared with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0129] Optionally, the refined and extended functions of the program can be found in the description above.

[0130] This application embodiment also provides a storage medium that can store a program suitable for execution by a processor, the program being used for:

[0131] The data logger acquires communication messages monitored by the serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module.

[0132] Based on the message protocol of the power distribution terminal, the communication message is parsed to obtain the monitored remote data.

[0133] The monitored remote sensing data is compared with the remote sensing data received by the main station to obtain the data accuracy assessment result;

[0134] The communication message is compared with the original message of the power distribution terminal to obtain the data integrity assessment result.

[0135] Optionally, the refined and extended functions of the program can be found in the description above.

[0136] In summary:

[0137] This application first acquires communication messages monitored by a data logger via a serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger monitors the uplink and downlink communication data between the power distribution terminal and the communication module. It is understood that since the uplink data captured by the data logger has not yet been connected to the communication module, it is unaffected by communication quality and can accurately reflect the original data sent by the power distribution terminal. On the other hand, since the downlink data captured by the data logger has not yet been connected to the power distribution terminal, it is unaffected by the power distribution terminal's communication receiving module and can accurately reflect the actual data transmitted on the communication link. Then, based on the message protocol of the power distribution terminal, the communication messages are parsed to obtain the monitored remote sensing, remote control, and remote telemetry (RST) data. Next, the monitored RST data is compared with the RST data received by the master station to obtain a data accuracy assessment result. Finally, the communication messages are compared with the original messages of the power distribution terminal to obtain a data integrity assessment result. This application uses a data logger to monitor the communication messages of the power distribution terminal. The message recording is complete and the data is highly accurate, without affecting the original communication environment and reducing other possible interference. Furthermore, through the data accuracy assessment results and the data integrity assessment results, the missending, missing, and multiple sending of communication messages between the power distribution terminal and the master station can be obtained, which facilitates the early access of the master station maintenance personnel and improves work efficiency.

[0138] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0139] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0140] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of monitoring data communications at a power distribution terminal, the method comprising: include: The data logger acquires communication messages monitored by the serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module. Based on the message protocol of the power distribution terminal, the communication message is parsed to obtain the monitored remote data. The monitored remote sensing data is compared with the remote sensing data received by the main station to obtain the data accuracy assessment result; The communication message is compared with the original message of the power distribution terminal to obtain the data integrity assessment result; The data accuracy assessment results include data accuracy assessment values; After obtaining the data accuracy assessment results, the following is also included: If the data accuracy assessment value is less than the preset accuracy threshold, the monitored remote sensing data will be used to analyze the power grid operation data. The process of analyzing power grid operation data using the monitored remote sensing, telemetry, and telecontrol data includes: Acquire meteorological data, and perform cleaning, normalization, and anomaly detection operations on the meteorological data and the monitored remote sensing data to obtain the target data; Feature extraction is performed on the target data to obtain feature information, which includes current, voltage, power factor, temperature, and humidity; By combining machine learning, data mining techniques, and the aforementioned feature information, modeling and analysis are performed to obtain the analysis results; The analysis results are presented in the form of reports and charts.

2. The method according to claim 1, characterized in that, After obtaining the data integrity assessment results, the following is also included: The data formats and protocols of each terminal device are standardized.

3. The method according to claim 2, characterized in that, The process of standardizing the data format and data protocol of each terminal device includes: Generate standardized data formats, data protocols, and data interfaces; Data from different data sources are integrated using the data interface to obtain a complete dataset. A data warehouse is created based on the data format, the data protocol, and the data interface.

4. The method according to claim 2, characterized in that, After standardizing the data formats and protocols of various terminal devices, the process also includes: Based on the preset fault warning mechanism, data accuracy assessment results, and data integrity assessment results, the warning information is reported to the management center of the power distribution terminal.

5. The method according to claim 1, characterized in that, The four remote data include power data, voltage data, current data, and switching data; The power data includes active power data, reactive power data, and apparent power data; The electricity data is used for electricity demand forecasting and scheduling optimization. The voltage data is used for voltage analysis and adjustment; The current data is used for overload analysis; The switching data is used for switch fault detection.

6. A power distribution terminal data communication monitoring device, characterized in that, include: A data monitoring unit is used to acquire communication messages monitored by a data logger through a serial communication module. The data logger is pre-installed between the power distribution terminal and the communication module via a serial bridge. The data logger is used to monitor the uplink and downlink communication data between the power distribution terminal and the communication module. The data parsing unit is used to parse the communication messages based on the message protocol of the power distribution terminal to obtain the monitored remote data. The accuracy assessment unit is used to compare the monitored remote sensing data with the remote sensing data received by the main station to obtain the data accuracy assessment result. The integrity assessment unit is used to compare the communication message with the original message of the power distribution terminal to obtain the data integrity assessment result; The data accuracy assessment result includes a data accuracy assessment value; after obtaining the data accuracy assessment result, the accuracy assessment unit is further used for: If the data accuracy assessment value is less than the preset accuracy threshold, the monitored remote sensing data will be used to analyze the power grid operation data. The accuracy assessment unit analyzes the power grid's operational data using the monitored remote sensing, telemetry, and telemetry data, including: Acquire meteorological data, and perform cleaning, normalization, and anomaly detection operations on the meteorological data and the monitored remote sensing data to obtain the target data; Feature extraction is performed on the target data to obtain feature information, which includes current, voltage, power factor, temperature, and humidity; By combining machine learning, data mining techniques, and the aforementioned feature information, modeling and analysis are performed to obtain the analysis results; The analysis results are presented in the form of reports and charts.

7. A power distribution terminal data communication monitoring device, characterized in that, include: Memory and processor; The memory is used to store programs; The processor is used to execute the program to implement each step of the power distribution terminal data communication monitoring method as described in any one of claims 1 to 5.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the power distribution terminal data communication monitoring method as described in any one of claims 1 to 5.

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