Electric energy meter abnormity monitoring and early warning method and terminal based on real-time electrical logging data change

Abstract

The invention discloses an electric energy meter abnormity monitoring and early warning method based on real-time electrical logging data change and a terminal. The method comprises the following steps: analyzing a master station configuration command to determine a target electric energy meter and an electrical logging data item and an anomaly type thereof, and setting a data acquisition frequency and an anomaly judgment parameter; periodically collecting real-time data of an electrical logging data item of the target electric energy meter; the method comprises the following steps of: (1) comparing real-time data with historical data, and if a difference value or a change rate exceeds a threshold range, judging that data jump abnormity occurs; (2) counting the continuous communication failure times of the target electric energy meter in the acquisition period, judging whether the continuous communication failure times exceed a time threshold value in the abnormal judgment parameters or not, and if yes, determining that communication fault abnormity occurs; and generating a corresponding early warning message and reporting the message to a master station in real time. According to the invention, the first-time field abnormal state sensing capability is provided for the main station, and the active operation and maintenance level and the risk early warning capability of the intelligent power utilization information acquisition system are remarkably improved.

Description

Technical Field

[0001] This invention relates to a method for monitoring and early warning of abnormalities in electricity meters in the field of electricity metering, particularly to a method for monitoring and early warning of abnormalities in electricity meters based on changes in real-time electricity measurement data, and also to a terminal for monitoring and early warning of abnormalities in electricity meters based on changes in real-time electricity measurement data. Background Technology

[0002] Real-time electrical measurement data from remote energy meters (such as smart meters), including voltage, current, power, energy, power factor, frequency, and temperature, directly reflect the meter's own status and the operating status of the connected power grid load. Timely detection of abnormal changes in these data is crucial for ensuring metering accuracy, safe power grid operation, and user electricity safety.

[0003] Currently, smart meters typically have event recording functions, capable of recording the occurrence time and related data of preset events such as undervoltage, overvoltage, overcurrent, and current interruption. However, in existing technologies, the master station system usually relies on timed or data recall after the event is triggered to obtain these event record data. This approach has significant drawbacks: (1) Non-real-time: The master station cannot know the on-site situation at the first moment of an abnormal event, and can only check the historical records afterward, which leads to delays in fault response and handling; (2) Limited event types: Event recording mainly targets several preset standard events (such as undervoltage, overvoltage, etc.), and lacks effective real-time monitoring methods for non-standard events (such as abnormal power return, abnormal power fluctuations without overload, changes in communication status, etc.); (3) Difficult verification: It is difficult to compare and verify the event records with the real-time data at the moment of the abnormality. Therefore, the existing abnormal monitoring and early warning methods for electricity meters have the problems of slow response speed and small monitoring range of abnormal types. Summary of the Invention

[0004] To address the technical problems of slow response speed and limited monitoring range of anomaly types in existing electricity meter anomaly monitoring and early warning methods, this invention provides an electricity meter anomaly monitoring and early warning method and terminal based on real-time changes in electricity measurement data.

[0005] This invention is achieved using the following technical solution: a method for monitoring and early warning of abnormalities in electricity meters based on real-time changes in electrical measurement data, comprising the following steps: Receive and parse the master station configuration command to determine the target energy meter, its electrical measurement data items, and anomaly types, and set the data acquisition frequency and anomaly judgment parameters; Real-time data of the electrical measurement data items of the target energy meter are periodically collected according to the aforementioned collection frequency; Based on the anomaly type, the following anomaly determination is made: (1) The real-time data is compared with the historical data. If the difference or rate of change exceeds the threshold range in the anomaly judgment parameter, it is determined that a data jump anomaly has occurred; (2) The number of consecutive communication failures of the target energy meter within the collection period is counted, and it is determined whether the number of failures exceeds the number threshold in the anomaly judgment parameter. If it exceeds, a communication failure anomaly has occurred. When an anomaly occurs, a corresponding early warning message is generated and reported to the main station in real time.

[0006] This invention can actively and continuously collect various real-time electrical measurement data (such as voltage, current, active / reactive power, electrical energy, frequency, internal temperature, battery voltage, etc.) from connected electricity meters at a set frequency. By analyzing the instantaneous changes (jumps) or cumulative states (such as communication failure counts) of these data, it can detect various types of abnormal situations in real time and immediately report early warning information to the main station. This invention solves the technical problems of slow response speed and small monitoring range of abnormal types in existing electricity meter abnormality monitoring and early warning methods, realizes proactive early warning of abnormal situations, and significantly improves the response speed of abnormal events in the power grid.

[0007] As a further improvement to the above scheme, the following abnormality determination is also performed: (3) Based on the real-time data and the communication information between the acquisition terminal and the target energy meter, it is determined whether the target energy meter has a sending function abnormality; (4) Based on the real-time data, it is determined whether an abnormality has occurred at the power consumption site.

[0008] As a further improvement to the above scheme, the electrical measurement data items include one or more of the following: voltage, current, power, electrical energy, frequency, internal temperature, or battery voltage.

[0009] As a further improvement to the above scheme, the method for comparing real-time data with historical data includes: first maintaining a cache array for each electrical measurement data item to store the most recently collected data values, and then comparing the latest collected data value with the data values ​​of the previous or earlier times in the cache array.

[0010] As a further improvement to the above scheme, the configuration command and the early warning message are constructed using custom commands of the DL / T698.45 protocol; the acquisition terminal communicates with the master station through a 4G channel and is connected to the target energy meter through RS485 and / or HPLC.

[0011] As a further improvement to the above scheme, the early warning message includes the address of the target energy meter where the data jump anomaly occurred, the anomaly type identifier, the time of the anomaly occurrence, and the electrical measurement data values ​​before and after the anomaly occurrence, as well as the communication address of the fault meter where the communication failure anomaly occurred and the time of fault determination.

[0012] As a further improvement to the above scheme, the configuration command is also used to enable or disable the monitoring function for specific electricity meters or specific electrical measurement data items.

[0013] As a further improvement to the above scheme, after receiving the early warning message, the master station retrieves the event records of the corresponding electricity meter at the abnormal moment, and compares and verifies the real-time jump information reported by the data acquisition terminal with the event information recorded inside the electricity meter.

[0014] As a further improvement to the above scheme, if the target electricity meter resumes communication and successfully responds to the data reading request of the acquisition terminal, then the corresponding consecutive failure count is reset to zero.

[0015] This invention also provides a power meter anomaly monitoring and early warning terminal based on real-time electrical measurement data changes, which applies any of the above-described power meter anomaly monitoring and early warning methods based on real-time electrical measurement data changes; the monitoring and early warning terminal includes: The function configuration module is used to receive and parse the master station configuration commands to determine the target energy meter and its electrical measurement data items and anomaly types, and to set the data acquisition frequency and anomaly judgment parameters. The data acquisition module is used to periodically acquire real-time data of the electrical measurement data items of the target energy meter according to the acquisition frequency. An anomaly judgment module is used to make the following anomaly judgments based on the anomaly type: (1) compare the real-time data with the historical data, and if the difference or rate of change exceeds the threshold range in the anomaly judgment parameters, it is determined that a data jump anomaly has occurred; (2) count the number of consecutive communication failures of the target energy meter within the collection period, and determine whether the number of failures exceeds the number threshold in the anomaly judgment parameters. If it exceeds, a communication failure anomaly has occurred. The early warning reporting module is used to generate corresponding early warning messages and report them to the main station in real time when an anomaly occurs; The function configuration module, data acquisition module, anomaly judgment module, and early warning reporting module are integrated into the acquisition terminal.

[0016] Compared with existing methods for monitoring and warning of electricity meter anomalies, the electricity meter anomaly monitoring and warning method and terminal based on real-time changes in electricity measurement data of the present invention have the following advantages: 1. This energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes can actively and continuously collect various real-time electrical measurement data (such as voltage, current, active / reactive power, energy, frequency, internal temperature, battery voltage, etc.) from connected energy meters at a set frequency. By analyzing the instantaneous changes (jumps) or cumulative states (such as communication failure counts) of these data, it can detect various types of anomalies in real time and immediately report early warning information to the main station. This solves the technical problems of slow response speed and small monitoring range of anomaly types in existing energy meter anomaly monitoring and early warning methods, realizes proactive early warning of anomalies, and significantly improves the response speed of abnormal events in the power grid.

[0017] 2. This method for monitoring and warning of abnormalities in electricity meters based on changes in real-time electrical measurement data can provide real-time warnings: through high-frequency real-time data acquisition and change analysis, it can issue warnings to the main station at the "first moment" (seconds or even milliseconds) when an abnormality occurs, greatly shortening the fault response time.

[0018] 3. This method for monitoring and warning of anomalies in electricity meters based on real-time changes in electrical measurement data has a wide coverage of anomaly types: it can not only monitor standard events (through their data characteristics), but also monitor a variety of non-preset events such as communication failures, power rollback, and non-standard load fluctuations, making the monitoring scope more comprehensive.

[0019] 4. This method for monitoring and early warning of abnormalities in electricity meters based on real-time changes in electrical measurement data can actively monitor: the monitoring and judgment are initiated by the acquisition terminal, without relying on the event records of the electricity meter or the timed reading of the master station, thus improving the initiative and reliability of monitoring.

[0020] 5. This method for monitoring and early warning of abnormalities in electricity meters based on real-time changes in electrical measurement data is flexibly configurable: the monitoring object, monitoring frequency, abnormality type and judgment threshold can be flexibly configured through software (DL / T698.45 custom commands) to adapt to the needs of different application scenarios.

[0021] 6. This method for monitoring and warning of electricity meter anomalies based on real-time changes in electrical measurement data has achieved auxiliary verification: the reported real-time data jump information provides an important basis for the main station to verify the timeliness and accuracy of electricity meter event records.

[0022] 7. This method for monitoring and warning of abnormal electricity meters based on real-time changes in electrical measurement data can improve operation and maintenance efficiency: the main station can quickly locate abnormal electricity meters and abnormal types, significantly improve the efficiency of fault diagnosis and handling, and ensure metering accuracy and power grid safety.

[0023] 8. The beneficial effects of this energy meter anomaly monitoring and early warning terminal based on real-time electrical measurement data changes are the same as those of the above-mentioned energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes, and will not be repeated here. Attached Figure Description

[0024] Figure 1 This is a flowchart of the energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes according to Embodiment 1 of the present invention.

[0025] Figure 2 This is a schematic diagram showing the connection between the master station, the data acquisition terminal, and the electricity meter in Embodiment 1 of the present invention.

[0026] Figure 3 for Figure 1 The flowchart for judging data mutations and reporting to the main station in the abnormal monitoring and early warning method of electricity meters.

[0027] Figure 4 for Figure 1 The flowchart of the abnormal situation handling mechanism for meter communication failure in the abnormal monitoring and early warning method of electricity meter. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0029] Example 1 Please see Figure 1-4 This embodiment provides a method for monitoring and early warning of electricity meter anomalies based on real-time changes in electrical measurement data. This method can proactively and in real-time monitor changes in key electrical measurement data of the electricity meter and immediately issue an early warning to the main station when a specific abnormal pattern is detected, thus meeting the need for immediate perception and handling of abnormal conditions at the electricity meter installation site. In this embodiment, the monitoring and early warning method mainly includes the following steps, which can be executed by a data acquisition terminal installed on the electricity meter side.

[0030] I. Functional Configuration: The system receives and parses configuration commands from the master station to determine the target electricity meters (a list of meter addresses to be monitored), their electrical measurement data items, and anomaly types, and sets the data acquisition frequency and anomaly judgment parameters. In this embodiment, electrical measurement data items include one or more of voltage, current, power, energy, frequency, internal meter temperature, or battery voltage. Configuration commands and early warning messages are constructed using custom commands based on the DL / T698.45 protocol. The acquisition terminal communicates with the master station via a 4G channel and connects to the target electricity meters via RS485 and / or HPLC. It should be noted that the configuration commands are also used to enable or disable the monitoring function for specific electricity meters or specific electrical measurement data items (e.g., setting 0 anomalies for 0 meters to be monitored represents disabling).

[0031] II. Data Acquisition: Real-time data of electrical measurement data items from the target energy meter are periodically acquired according to the acquisition frequency. In this embodiment, based on the acquisition frequency and monitoring object (specified energy meter and specified electrical measurement data items) set through the custom command of the DL / T698.45 protocol, data read requests are periodically (e.g., every second, every 5 seconds, every 30 seconds, etc.) sent to the target energy meter (using the GetNormalList command of the DL / T698.45 protocol) to obtain the specified real-time electrical measurement data. Additionally, a cache array is maintained for each monitored data item to store the values ​​from the most recent acquisitions for subsequent comparison.

[0032] III. Anomaly Judgment: Based on the anomaly type, the following anomaly judgments are made: (1) Compare the real-time data with the historical data (the previous one or the previous n times). If the difference or rate of change exceeds the threshold range in the anomaly judgment parameters (this range is set in the terminal program according to the monitored anomaly type), then a data jump anomaly is determined to have occurred; for example: a sudden and significant drop / rise in voltage, an abnormal surge in power, a decline in the power consumption reading, etc.; the specific flowchart is as follows Figure 3 As shown; (2) Count the number of consecutive communication failures of the target electricity meter within the collection period, and determine whether the number of failures exceeds the number threshold in the abnormal judgment parameter. If it exceeds, a communication failure occurs. In each collection period, send a read request (such as read address) to the electricity meter. If no valid response is received for M consecutive times (M is a preset threshold, such as 3 times), the electricity meter is judged to be in communication abnormality. The specific flowchart is as follows. Figure 4 As shown. If the target energy meter resumes communication and successfully responds to the data reading request from the acquisition terminal, its corresponding consecutive failure count is reset to zero.

[0033] In this embodiment, the method for comparing real-time data with historical data includes: first, maintaining a cache array for each electrical measurement data item to store the most recently collected data values; then, comparing the latest collected data value with the previous or earlier data values ​​in the cache array. Standard event-related data jumps and meter function / electricity consumption anomalies mainly rely on... Figure 3 The data transition judgment process is shown below. Communication failures rely on... Figure 4 The communication failure counting process shown does not require comparing the data values ​​themselves.

[0034] In some embodiments, in addition to the two types mentioned above (data jump anomaly and communication failure anomaly), the anomaly types may also include meter function anomalies (such as power reading rollback) and power consumption site anomalies (such as voltage and current returning to zero due to unplanned power outages, or load exceeding limits but not reaching overcurrent standards). Therefore, the following anomaly determinations can also be made: (3) Determine whether the target meter has sent a function anomaly based on real-time data and communication information between the acquisition terminal and the target meter; (4) Determine whether an anomaly has occurred at the power consumption site based on real-time data.

[0035] IV. Early Warning Reporting: When an anomaly occurs, a corresponding early warning message is generated and reported to the main station in real time. The early warning message includes the address of the target energy meter where the data jump anomaly occurred, the anomaly type identifier, the time of the anomaly occurrence (timestamp), and the electrical measurement data values ​​(or changes) before and after the anomaly. It also includes the communication address of the faulty meter and the time of fault determination. The early warning message structure can be constructed using DL / T698.45 custom commands. The acquisition terminal reports the early warning message to the main station system in real time via a 4G channel.

[0036] For example, if the data acquisition terminal successfully receives data, it updates the cache of the corresponding data item (e.g., saving the last 5 values). The latest value is compared with the previous value. If the change in a data item (e.g., phase A voltage) exceeds a set threshold (e.g., a drop of more than 20V), a pre-alarm message is immediately generated (including the meter address, data item identifier, timestamp, and values ​​before and after the change), and reported to the master station via 4G. If the data change is within the normal range, it waits for the next cycle. If no response is received (or the response times out / error occurs), the communication failure is recorded. If the number of consecutive failures reaches a set value M (e.g., 3 times), the meter is determined to have a communication fault, a communication fault pre-alarm message is generated (including the meter address and fault determination timestamp), and reported to the master station via 4G.

[0037] After receiving the warning message, the master station can: (1) immediately perform preliminary analysis and judgment and initiate emergency handling procedures; (2) simultaneously retrieve the event records of the corresponding electricity meter at the abnormal moment, and compare and verify the real-time jump information reported by the acquisition terminal with the event information recorded inside the meter to assist in verifying the accuracy of the electricity meter's recording function. After receiving the warning message, the master station can also immediately issue an alarm on the monitoring interface to notify the operation and maintenance personnel, and can simultaneously initiate detailed data retrieval or event record reading of the meter for further analysis and processing. If the master station issues a command to close the monitoring function or modify the configuration, the acquisition terminal will stop the corresponding data acquisition and judgment actions.

[0038] Through the above methods, the present invention effectively solves the problem that the existing technology cannot monitor various anomalies at the electricity meter in real time, provides the main station with the ability to perceive abnormal conditions on site "at the first time", and significantly improves the proactive operation and maintenance level and risk warning capability of the intelligent electricity information collection system.

[0039] In summary, compared with existing methods for monitoring and warning of electricity meter anomalies, the electricity meter anomaly monitoring and warning method based on real-time electricity measurement data changes in this embodiment has the following advantages: 1. This energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes can actively and continuously collect various real-time electrical measurement data (such as voltage, current, active / reactive power, energy, frequency, internal temperature, battery voltage, etc.) from connected energy meters at a set frequency. By analyzing the instantaneous changes (jumps) or cumulative states (such as communication failure counts) of these data, it can detect various types of anomalies in real time and immediately report early warning information to the main station. This solves the technical problems of slow response speed and small monitoring range of anomaly types in existing energy meter anomaly monitoring and early warning methods, realizes proactive early warning of anomalies, and significantly improves the response speed of abnormal events in the power grid.

[0040] 2. This method for monitoring and warning of abnormalities in electricity meters based on changes in real-time electrical measurement data can provide real-time warnings: through high-frequency real-time data acquisition and change analysis, it can issue warnings to the main station at the "first moment" (seconds or even milliseconds) when an abnormality occurs, greatly shortening the fault response time.

[0041] 3. This method for monitoring and warning of anomalies in electricity meters based on real-time changes in electrical measurement data has a wide coverage of anomaly types: it can not only monitor standard events (through their data characteristics), but also monitor a variety of non-preset events such as communication failures, power rollback, and non-standard load fluctuations, making the monitoring scope more comprehensive.

[0042] 4. This method for monitoring and early warning of abnormalities in electricity meters based on real-time changes in electrical measurement data can actively monitor: the monitoring and judgment are initiated by the acquisition terminal, without relying on the event records of the electricity meter or the timed reading of the master station, thus improving the initiative and reliability of monitoring.

[0043] 5. This method for monitoring and early warning of abnormalities in electricity meters based on real-time changes in electrical measurement data is flexibly configurable: the monitoring object, monitoring frequency, abnormality type and judgment threshold can be flexibly configured through software (DL / T698.45 custom commands) to adapt to the needs of different application scenarios.

[0044] 6. This method for monitoring and warning of electricity meter anomalies based on real-time changes in electrical measurement data has achieved auxiliary verification: the reported real-time data jump information provides an important basis for the main station to verify the timeliness and accuracy of electricity meter event records.

[0045] 7. This method for monitoring and warning of abnormal electricity meters based on real-time changes in electrical measurement data can improve operation and maintenance efficiency: the main station can quickly locate abnormal electricity meters and abnormal types, significantly improve the efficiency of fault diagnosis and handling, and ensure metering accuracy and power grid safety.

[0046] Example 2 This embodiment provides a power meter anomaly monitoring and early warning terminal based on real-time electrical measurement data changes. This terminal applies the power meter anomaly monitoring and early warning method based on real-time electrical measurement data changes described in Embodiment 1, and specifically includes a function configuration module, a data acquisition module, an anomaly judgment module, and an early warning reporting module. It should be noted that the function configuration module, data acquisition module, anomaly judgment module, and early warning reporting module are integrated into the acquisition terminal.

[0047] The function configuration module is used to receive and parse the master station configuration command to determine the target energy meter and its electrical measurement data items and anomaly type, and to set the data acquisition frequency and anomaly judgment parameters. The data acquisition module is used to periodically acquire the real-time data of the electrical measurement data items of the target energy meter according to the acquisition frequency. The anomaly judgment module is used to make the following anomaly judgments based on the anomaly type: (1) compare the real-time data with the historical data. If the difference or rate of change exceeds the threshold range in the anomaly judgment parameters, it is determined that a data jump anomaly has occurred; (2) count the number of consecutive communication failures of the target energy meter within the acquisition period, and determine whether the number of failures exceeds the number threshold in the anomaly judgment parameters. If it exceeds, a communication failure anomaly has occurred. The early warning reporting module is used to generate the corresponding early warning message and report it to the master station in real time when an anomaly occurs.

[0048] In some embodiments, the terminal further includes a master station communication module and a meter communication module. The master station communication module is used for data communication with the master station system via a 4G network channel. The meter communication module is used for data communication with one or more remote energy meters via an RS485 interface and / or a high-speed power line carrier (HPLC) interface. The energy meter anomaly monitoring and early warning terminal of this embodiment has the same technical effect as the energy meter anomaly monitoring and early warning method in Embodiment 1 compared to existing terminals, and will not be described again here.

[0049] Example 3 This embodiment provides a computer terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes described in Embodiment 1.

[0050] The method in Example 1 can be applied in software form, such as by designing it as a standalone program and installing it on a computer terminal, which can be a computer, smartphone, control system, or other IoT device. Alternatively, the method in Example 1 can be designed as an embedded program and installed on a computer terminal, such as on a microcontroller.

[0051] Example 4 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, it implements the steps of the energy meter anomaly monitoring and early warning method based on real-time electrical measurement data changes described in Embodiment 1.

[0052] When applying the method of Example 1, it can be applied in the form of software, such as by designing it as a program that can run independently on a computer-readable storage medium. The computer-readable storage medium can be a USB flash drive, designed as a USB security token, and the program can be designed to start the entire method through an external trigger.

[0053] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for monitoring and early warning of abnormality of an electric energy meter based on real-time electric measurement data changes, characterized in that, It comprises the following steps: Receiving and analyzing the master station configuration command to determine the target electric energy meter and its electric measurement data items and abnormal types, and setting the data acquisition frequency and abnormal judgment parameters; Periodically acquiring real-time data of the electric measurement data items of the target electric energy meter according to the acquisition frequency; According to the abnormal types, the following abnormal judgments are made: (1) comparing the real-time data with historical data, if the difference or change rate exceeds the threshold range in the abnormal judgment parameters, it is determined that a data jump abnormality occurs; (2) counting the number of consecutive communication failures of the target electric energy meter in the acquisition period, and determining whether the number of failures exceeds the number threshold in the abnormal judgment parameters, if it exceeds, a communication failure abnormality occurs; When an abnormality occurs, a corresponding early warning message is generated and reported to the master station in real time.

2. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, The following abnormal judgments are also made: (3) determining whether the target electric energy meter sends a function abnormality according to the real-time data and the communication information between the acquisition terminal and the target electric energy meter; (4) determining whether an abnormality occurs in the power consumption site according to the real-time data.

3. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, The electric measurement data items include one or more of voltage, current, power, electric energy, frequency, internal temperature or battery voltage.

4. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, The method of comparing real-time data with historical data includes: first maintaining a cache array for each electric measurement data item to store the data values collected in the last few times, and then comparing the latest collected data value with the data values in the cache array.

5. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, The configuration command and the early warning message are constructed through the self-defined command of DL / T698.45 protocol; the acquisition terminal communicates with the master station through a 4G channel, and is connected with the target electric energy meter through RS485 and / or HPLC.

6. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, The early warning message includes the address of the target electric energy meter where the data jump abnormality occurs, the abnormal type identifier, the abnormal occurrence time, and the electric measurement data values before and after the abnormality, and also includes the faulty meter communication address and the fault determination time where the communication failure abnormality occurs.

7. The method for abnormal monitoring and early warning of electric energy meter based on real-time electric measurement data changes according to claim 1, characterized in that, The configuration command is also used to start or stop the monitoring function of a specific electric energy meter or a specific electric measurement data item.

8. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, After receiving the early warning message, the master station retrieves the event record of the corresponding electric energy meter at the abnormal time, and compares and verifies the real-time jump information reported by the acquisition terminal with the event information recorded in the electric meter.

9. The method for monitoring and early warning of abnormality of electric energy meter based on real-time electric measurement data change according to claim 1, characterized in that, If the target electric energy meter resumes communication and successfully responds to the data reading request of the acquisition terminal, the corresponding consecutive failure number is cleared.

10. An electric energy meter abnormality monitoring and early warning terminal based on real-time electric measurement data changes, characterized in that, The application of the electric energy meter abnormality monitoring and early warning method based on real-time electric measurement data changes as claimed in any one of claims 1-9; the monitoring and early warning terminal comprises: A function configuration module for receiving and analyzing the master station configuration command to determine the target electric energy meter and its electric measurement data items and abnormal types, and setting the data acquisition frequency and abnormal judgment parameters A data acquisition module for periodically acquiring real-time data of the electric measurement data items of the target electric energy meter according to the acquisition frequency; anomaly determination module, configured to determine the following anomalies according to the anomaly type: (1) comparing the real-time data with historical data, and determining that a data jump anomaly occurs if a difference or a change rate exceeds a threshold range in the anomaly determination parameter; (2) counting a number of consecutive communication failures of the target electric energy meter in a collection period, and determining whether the number of failures exceeds a number threshold in the anomaly determination parameter, and determining that a communication failure anomaly occurs if the number of failures exceeds the number threshold; an early warning reporting module, configured to generate a corresponding early warning message and report the early warning message to the master station in real time when an anomaly occurs; wherein the function configuration module, the data collection module, the anomaly determination module, and the early warning reporting module are integrated in the collection terminal.

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