Circuit breaker testing method and system for electricity meter sorting platform

By automatically acquiring historical and real-time operating data of circuit breakers from the electricity meter sorting platform for anomaly detection and electrode value calculation, the problems of low circuit breaker detection efficiency and manual operation risks are solved, achieving efficient and safe circuit breaker detection and closing control.

CN119716530BActive Publication Date: 2025-11-14GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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Patent Information

Application Number
CN202411989405.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-11-14
Estimated Expiration
2044-12-31

AI Technical Summary

Technical Problem

The existing electricity meter sorting platform has low circuit breaker detection efficiency, and manual operation poses safety risks.

Method used

By acquiring historical and real-time operating data of the circuit breaker, anomaly detection and electrode value calculation are performed, and closing commands are automatically sent to control the circuit breaker to close, avoiding manual operation.

Benefits of technology

This improves the effectiveness and accuracy of circuit breaker detection, avoids the risks of manual operation, and enhances the operational efficiency and safety of the sorting platform.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention discloses a circuit breaker detection method and system for an electricity meter sorting platform, relating to the field of power system technology. Its main objective is to solve the problem of low circuit breaker detection efficiency in existing electricity meter sorting platforms. The method includes: upon detecting a circuit breaker tripping, acquiring historical tripping data of the circuit breaker and identifying the corresponding sorting equipment, its historical sorting operation data, and real-time sorting operation data; if the abnormal operation data from the historical sorting operation data does not match the real-time sorting operation data, determining the status information of the sorting equipment based on the real-time sorting operation data and performing anomaly judgment on the sorting equipment; if the sorting equipment is in normal operating condition, calculating the usage extreme value of the sorting equipment; if the usage extreme value does not match the tripping extreme value from the historical tripping data, determining that the circuit breaker tripping is abnormal, and sending a closing command to the circuit breaker's communication module to activate the circuit breaker's control trigger for closing.
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Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a circuit breaker detection method and system for an electricity meter sorting platform. Background Technology

[0002] A circuit breaker is a switching system capable of closing, carrying, and interrupting current under normal circuit conditions and, within a specified time, closing, carrying, and interrupting current under abnormal circuit conditions. In power systems, circuit breakers are used to distribute electrical energy, infrequently start asynchronous motors, protect power lines and motors, and automatically disconnect circuits when serious overloads, short circuits, or undervoltage faults occur to protect the circuit or power system. For example, in an energy meter sorting system, a circuit breaker can be configured for each sorting device to provide individual circuit protection for each device.

[0003] Currently, existing companies require manual activation of circuit breakers on various sorting devices (such as robotic arms) after the circuit protection is activated. However, electricity meter sorting platforms need to control multiple sorting devices for fully automated sorting of electricity meters. Manually activating a single circuit breaker would significantly reduce the platform's operating efficiency if the machine is stopped, while continuing operation would increase the operator's risk and potentially cause injury. Therefore, a circuit breaker detection method for electricity meter sorting platforms is urgently needed to address these issues. Summary of the Invention

[0004] In view of this, the present invention provides a circuit breaker detection method and system for an electricity meter sorting platform, the main purpose of which is to solve the problem of low circuit breaker detection efficiency in existing electricity meter sorting platforms.

[0005] According to one aspect of the present invention, a circuit breaker detection method for an electricity meter sorting platform is provided, comprising:

[0006] When the circuit breaker is detected to have started to break the circuit, the historical circuit breaking data of the circuit breaker is obtained, and the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data are determined.

[0007] If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, then the status information of the sorting equipment is determined based on the real-time sorting operation data, and the abnormality judgment of the sorting equipment is made based on the status information.

[0008] If the sorting equipment is in normal operating condition, the power consumption value of the sorting equipment is calculated based on the sorting task information of the sorting energy meter;

[0009] If the applied electrode value does not match the circuit breaker extreme value in the historical circuit breaker data, the circuit breaker is determined to be faulty, and a closing command is sent to the circuit breaker's communication module so that the circuit breaker's control trigger can start the circuit breaker to close the circuit.

[0010] According to one aspect of the present invention, a circuit breaker detection system for an electricity meter sorting platform is provided.

[0011] Main control equipment, circuit breakers, communication modules, control triggers,

[0012] The circuit breaker is used to initiate the circuit breaker;

[0013] The main control device is used in the circuit breaker detection method of the electricity meter sorting platform according to any one of claims 1 to 6. When a circuit breaker is detected to have started to open a circuit, it acquires the historical circuit breaker data and determines the sorting device corresponding to the circuit breaker, the historical sorting operation data of the sorting device, and the real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, it determines the status information of the sorting device based on the real-time sorting operation data and performs an abnormal judgment on the sorting device based on the status information. If the sorting device is in normal operating condition, it calculates the extreme value of the user of the sorting device based on the sorting task information of the sorted electricity meters. If the extreme value of the user does not match the extreme value of the circuit breaker in the historical circuit breaker data, it determines that the circuit breaker is abnormally open and sends a closing command to the communication module of the circuit breaker.

[0014] The communication module is used to transmit instructions;

[0015] The control trigger is used to activate the circuit breaker to close the circuit.

[0016] According to one aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the circuit breaker detection method of the above-described electricity meter sorting platform.

[0017] According to one aspect of the present invention, a terminal is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0018] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the circuit breaker detection method of the above-mentioned electricity meter sorting platform.

[0019] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0020] This invention provides a circuit breaker detection method and system for an electricity meter sorting platform. Compared with existing technologies, this invention, upon detecting a circuit breaker tripping, acquires the historical tripping data of the circuit breaker and determines the corresponding sorting equipment, its historical sorting operation data, and real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, the status information of the sorting equipment is determined based on the real-time sorting operation data, and an anomaly judgment is made based on the status information. If the sorting equipment is in normal operation, the consumption extreme value of the sorting equipment is calculated based on the sorting task information of the electricity meters being sorted. If the consumption extreme value does not match the tripping extreme value of the historical tripping data, the circuit breaker tripping anomaly is determined, and a closing command is sent to the circuit breaker's communication module to activate the circuit breaker's control trigger for closing. This avoids the risk of human intervention in starting the circuit breaker and prevents human damage, thus improving the effectiveness and accuracy of detecting abnormal circuit breaker tripping.

[0021] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0022] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0023] Figure 1 This invention provides a flowchart of a circuit breaker detection method for an electricity meter sorting platform.

[0024] Figure 2 This diagram illustrates a block diagram of a circuit breaker detection system for an electricity meter sorting platform according to an embodiment of the present invention.

[0025] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present invention is shown. Detailed Implementation

[0026] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0027] This invention provides a circuit breaker detection method for an electricity meter sorting platform, such as... Figure 1 As shown, the method includes:

[0028] 101. When the circuit breaker is detected to have started to break the circuit, the historical circuit breaking data of the circuit breaker is obtained, and the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data are determined.

[0029] In this embodiment, the platform control terminal for sorting electricity meters can be a master control device that communicates with various sorting devices (such as robotic arms) to control the sorting devices to perform sorting and detection operations on the electricity meters. When a circuit breaker detects abnormal power consumption in the sorting device, it initiates a circuit breaker and sends a circuit breaker signal back through a communication module configured on the circuit breaker, which is then received by the current execution terminal. Upon receiving the circuit breaker signal, the current execution terminal acquires the historical circuit breaker data. This historical data characterizes the voltage or current values ​​when the circuit breaker initiates a circuit breaker operation within a fixed time period; this embodiment does not impose specific limitations on this. Simultaneously, the current execution terminal determines the sorting device corresponding to the circuit breaker that initiated the circuit breaker, as well as the historical and real-time sorting operation data of this device. The sorting operation data characterizes the sorting device's operating time, operating speed, gripping pressure, and operating distance. The historical sorting operation data represents the sorting operation data recorded within a fixed time period, while the real-time sorting operation data is the sorting operation data to be collected at the current moment. In addition, the fixed time period of history in the embodiments of this application can be 1 month or 1 week, preferably 2 weeks, without specific limitation.

[0030] In another embodiment of the invention, for further definition and explanation, after obtaining the historical circuit breaker data and determining the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data, the method further includes:

[0031] If abnormal operation data marked in the historical sorting operation data is found, then the abnormal operation data is compared with the real-time sorting operation data; or,

[0032] If no abnormal operation data marked in the historical sorting operation data is found, the operation detection strategy of the sorting equipment is retrieved, and the historical sorting operation data is subjected to anomaly detection based on the operation detection strategy to determine the abnormal operation data, which is then compared with the real-time sorting operation data.

[0033] To avoid abnormal circuit breaker tripping and improve the effectiveness of circuit breaker detection, the current execution terminal first checks whether there is any marked abnormal operation data in the historical sorting operation data. This marked abnormal operation data can be manually marked or marked based on abnormal operation judgment rules. When marked abnormal operation data is found, it is compared with the real-time sorting operation data. This application embodiment does not impose specific limitations. In another specific implementation scenario, if the current execution terminal does not find any marked abnormal operation data, it indicates that no abnormal judgment was performed on the historical sorting operation data. Therefore, the current execution terminal retrieves the operation detection strategy pre-configured for the sorting equipment to perform anomaly detection on the historical sorting operation data based on the operation detection strategy, thus identifying abnormal operation data. The operation detection strategy can include, but is not limited to, operation extreme value detection, operation data missing detection, and operation blacklist / whitelist detection, to identify abnormal operation data for comparison with the real-time sorting operation data. In addition, in this embodiment of the application, if no abnormal operating data is identified, it means that the circuit breaker cannot make a judgment based on the historical operating data of the sorting equipment. Therefore, an inspection command is directly sent to the mobile terminal so that the mobile terminal can perform offline testing.

[0034] In another embodiment of this application, the method further includes:

[0035] If the abnormal operation data matches the real-time sorting operation data, a first open circuit normal signal is generated, and a first sorting abnormal alarm message is sent.

[0036] To ensure accurate detection of the circuit breaker, when the current execution end determines that the abnormal operation data matches the real-time sorting operation data, it indicates that the circuit breaker's initiation of the circuit breaker is correct. Therefore, a first normal circuit breaker signal is generated, and a first sorting abnormality alarm message is sent, indicating that the circuit breaker was caused by abnormal operation of the sorting equipment, so that the sorting equipment can be further inspected or repaired.

[0037] 102. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, the status information of the sorting equipment is determined based on the real-time sorting operation data, and the abnormality judgment of the sorting equipment is made based on the status information.

[0038] In this embodiment, after the current execution terminal obtains historical sorting operation data, it determines abnormal operation data from this historical sorting operation data. This abnormal operation data can be determined by pre-detection of the historical sorting operation data or by real-time detection of the historical sorting operation data at the current moment; this embodiment does not impose specific limitations. Furthermore, the abnormal operation data is matched with the obtained real-time sorting operation data. For example, if the abnormal operation data is a running distance of 0.5 meters, and the real-time sorting operation data also shows a running distance of 0.5 meters, then the abnormal operation data matches the real-time sorting operation data; this embodiment does not impose specific limitations. When the abnormal operation data does not match the real-time sorting operation data, it indicates that, historically, the current sorting data does not exhibit abnormal operation. Therefore, the status information of the sorting equipment is determined based on the real-time sorting operation data. This status information characterizes the operating status of the sorting equipment, allowing for anomaly judgment based on the status information.

[0039] In another embodiment of the invention, for further definition and explanation, the step of determining the status information of the sorting equipment based on the real-time sorting operation data, and performing anomaly judgment on the sorting equipment based on the status information, includes:

[0040] Determine the timestamp of the real-time sorting operation data, and select the status information of the sorting equipment from the sorting operation data according to the time multiple of the timestamp;

[0041] Obtain the decision tree classification model that has been trained, and classify the state information based on the decision tree classification model to obtain the operating status of the sorting equipment.

[0042] To achieve accurate judgment of circuit breakers based on the operation status of sorting equipment, the current execution end, when determining the status information, first obtains the timestamp of the real-time sorting operation data, and then selects the status information of the sorting equipment from the real-time sorting operation data according to the time multiple of the timestamp. At this time, the real-time sorting operation data includes the running time, running speed, clamping pressure, and running distance of the sorting equipment at the current moment. The time multiple is a multiple of the timestamp, such as 2 times, 10 times, etc., preferably 10 times, that is, according to 10 times the time length of the timestamp, the data collected at this time point is extracted from the real-time sorting operation data of the sorting equipment, which may include running time, running speed, clamping pressure, running distance, etc. For example, if the timestamp is 10 seconds, 10 o'clock is the starting point, that is, once every 100 seconds, the data collected at 10:01:40, 10:02:20, etc. can be the statistical value of running time, running speed, clamping pressure, running distance, etc. The embodiments of this application do not make specific limitations.

[0043] It should be noted that after obtaining the status information, the current execution end obtains the decision tree classification model that has completed model training, and classifies the status information based on the decision tree classification model to obtain the operating status of the sorting equipment. The decision tree classification model is trained based on sorting operation samples marked with normal operating status identifiers, and this application embodiment does not make specific limitations.

[0044] 103. If the sorting equipment is in normal operating condition, the power consumption value of the sorting equipment is calculated based on the sorting task information of the sorting power meter.

[0045] In this embodiment of the application, when it is determined that the sorting equipment is in normal operating condition, the circuit breaker may be in an abnormal situation when it disconnects the circuit. Therefore, the power consumption value of the sorting equipment is further calculated based on the sorting task information of the sorting energy meter, so as to judge the status of the circuit breaker based on whether the sorting equipment consumes too much energy.

[0046] In another embodiment of the invention, for further definition and explanation, the step of calculating the power consumption value of the sorting equipment based on the sorting task information of the sorting energy meter includes:

[0047] Load the sorting task information of the sorted energy meters, and extract the number of sorted energy meters and sorting time from the sorting task information;

[0048] The power consumption value of the sorting equipment is determined according to the number of sorting power meters, the sorting time, and the equipment power parameters of the sorting equipment.

[0049] To improve the detection of circuit breaker closing anomalies by using electrode values ​​as the basis for judgment, the current execution terminal, when calculating electrode values, first loads the sorting task information of the sorting energy meters and extracts the number of energy meters to be sorted and the sorting time from the sorting task information. The sorting task information is the task information uploaded by the user when initiating the sorting of energy meters, including but not limited to the number of energy meters to be sorted, the sorting items (such as voltage, current, appearance, etc.), the energy meter model, and the sorting time. In this embodiment, the number of energy meters to be sorted and the sorting time are extracted. The sorting time is the time required for one sorting device to sort and detect one energy meter. Furthermore, the energy consumption value of the sorting equipment is determined according to the number of sorting energy meters, sorting time, and the equipment's energy parameters. At this point, a deep learning model can be used as a prediction model for the energy consumption value. The number of sorting energy meters, sorting time, and the equipment's energy parameters are used as inputs to the prediction model. After processing by the prediction model, the energy consumption value is obtained. It should be noted that in this embodiment, the deep learning model can be trained using input samples containing the number of energy meters, sorting time, and equipment energy parameters, as well as output samples based on measured energy consumption values, to obtain the prediction model. Moreover, the equipment energy parameters include the sorting equipment's rated voltage, rated current, rated power, etc., which are not specifically limited in this embodiment.

[0050] 104. If the applied electrode value does not match the circuit breaker extreme value in the historical circuit breaker data, then the circuit breaker is determined to be faulty, and a closing command is sent to the circuit breaker's communication module.

[0051] In this embodiment of the application, after the value of the applied electrode is calculated, it is compared with the extreme values ​​of the circuit breaker in the historical circuit breaker data. If the applied electrode value does not match the extreme values ​​of the circuit breaker, it indicates that there is a possibility of erroneous operation in the circuit breaker at the current moment. Therefore, the circuit breaker is determined to be abnormal, and a closing command is sent to the communication module of the circuit breaker so that the control trigger of the circuit breaker can start the circuit breaker to close the circuit.

[0052] It should be noted that in this embodiment of the application, after the circuit breaker is sent, if the current execution terminal detects whether a second circuit breaker tripping occurs within a preset time (such as 2 minutes or 1 minute), then an offline inspection command is sent to the mobile terminal so that the mobile terminal can perform offline inspection.

[0053] In another embodiment of the invention, to further define and illustrate, before determining that the circuit breaker is experiencing a circuit breaker malfunction and sending a closing command to the communication module of the circuit breaker, the method further includes:

[0054] If the applied electrode value matches the circuit breaker extreme value of the historical circuit breaker data, a second circuit breaker normal signal is generated, and a second sorting abnormality alarm message is sent.

[0055] The method further includes:

[0056] If the sorting equipment is in an abnormal operating state, a third open circuit normal signal is generated and a third sorting abnormal alarm message is sent.

[0057] To meet the flexible circuit breaker testing requirements and achieve the purpose of testing in conjunction with the operation of the sorting equipment, when the current execution end determines that the power consumption value matches the circuit breaker tripping value, it further indicates that the circuit breaker tripping is caused by excessive power consumption. Therefore, a second normal tripping signal is generated, and a second sorting abnormality alarm message is sent, indicating that the tripping is caused by abnormal operation of the sorting equipment, so as to carry out other testing or maintenance of the sorting equipment.

[0058] In another implementation scenario where real-time judgment is made on whether the sorting equipment is in an abnormal operating state, if the sorting equipment is determined to be in abnormal operation, it means that the circuit breaker is also normal to start the circuit breaking at this time. Therefore, a third normal circuit breaking signal is generated and a third sorting abnormal alarm message is sent, that is, the circuit breaking at this time is caused by the abnormal operation of the sorting equipment, so that the sorting equipment can be further inspected or repaired.

[0059] It should be noted that the specific signal and information formats of the first, second, and third sorting abnormality alarm information, as well as the first, second, and third circuit breaker normal signals, are not specifically limited in the embodiments of this application.

[0060] In another embodiment of the invention, to further define and illustrate, after determining that the circuit breaker is experiencing a circuit breaker malfunction and sending a closing command to the communication module of the circuit breaker, the method further includes:

[0061] The number of circuit breaker outages and the outage times of different circuit breakers are counted according to preset time intervals.

[0062] Based on the number of circuit breaker anomalies and the time of the circuit breaker failure, a circuit breaker opening and closing curve is generated and output in the front-end interface.

[0063] To visualize the opening and closing status of circuit breakers, after sending a closing command, the current execution terminal can also statistically analyze the number of circuit breaker failures and the corresponding circuit breaker failure times for each sorting device at preset time intervals, providing users with a basis for circuit breaker opening and closing analysis. The preset time interval can be one month, two months, or other durations. This allows for the statistical analysis of circuit breakers with opening and closing anomalies, obtaining the number of circuit breaker failures. Simultaneously, the time points when all circuit breakers initiate circuit breaking are statistically analyzed to generate a circuit breaker opening and closing curve, which is then displayed on the front-end interface of the energy meter sorting platform. In the circuit breaker opening and closing curve, the x-axis represents the circuit breaking time point, and the y-axis represents the number of circuit breaking anomalies; this embodiment does not impose specific limitations on these representations.

[0064] This invention provides a circuit breaker detection method for an electricity meter sorting platform. Compared with existing technologies, this invention, upon detecting a circuit breaker tripping, acquires the historical tripping data of the circuit breaker and determines the corresponding sorting equipment, its historical sorting operation data, and real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, the status information of the sorting equipment is determined based on the real-time sorting operation data, and an anomaly judgment is made based on the status information. If the sorting equipment is in normal operation, the consumption extreme value of the sorting equipment is calculated based on the sorting task information of the electricity meters being sorted. If the consumption extreme value does not match the tripping extreme value of the historical tripping data, the circuit breaker tripping abnormality is determined, and a closing command is sent to the circuit breaker's communication module to activate the circuit breaker's control trigger for closing. This avoids the risk of human intervention in circuit breaker activation and prevents human damage, thereby improving the effectiveness and accuracy of detecting abnormal circuit breaker tripping.

[0065] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this invention provides a circuit breaker detection system for an electricity meter sorting platform, as described in this embodiment. Figure 2 As shown, the system includes: a main control device 21, a circuit breaker 22, a communication module 23, and a control trigger 24.

[0066] The circuit breaker is used to initiate the circuit breaker;

[0067] The main control device is used in the circuit breaker detection method of the electricity meter sorting platform according to any one of claims 1 to 6. When a circuit breaker is detected to have started to open a circuit, it acquires the historical circuit breaker data and determines the sorting device corresponding to the circuit breaker, the historical sorting operation data of the sorting device, and the real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, it determines the status information of the sorting device based on the real-time sorting operation data and performs an abnormal judgment on the sorting device based on the status information. If the sorting device is in normal operating condition, it calculates the extreme value of the user of the sorting device based on the sorting task information of the sorted electricity meters. If the extreme value of the user does not match the extreme value of the circuit breaker in the historical circuit breaker data, it determines that the circuit breaker is abnormally open and sends a closing command to the communication module of the circuit breaker.

[0068] The communication module is used to transmit instructions;

[0069] The control trigger is used to activate the circuit breaker to close the circuit.

[0070] This invention provides a circuit breaker detection system for an electricity meter sorting platform. Compared with existing technologies, this invention, upon detecting a circuit breaker tripping, acquires the historical tripping data of the circuit breaker and identifies the corresponding sorting equipment, its historical sorting operation data, and real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, the system determines the status information of the sorting equipment based on the real-time sorting operation data and performs anomaly judgment on the sorting equipment based on the status information. If the sorting equipment is in normal operating condition, the system calculates the extreme value of the electricity consumption of the sorting equipment based on the sorting task information of the electricity meters being sorted. If the extreme value of the electricity consumption does not match the extreme value of the historical tripping data, the system determines that the circuit breaker tripping is abnormal and sends a closing command to the circuit breaker's communication module to activate the circuit breaker's control trigger for closing. This avoids the risk of human intervention in starting the circuit breaker and prevents human damage, thereby improving the effectiveness and accuracy of detecting abnormal circuit breaker tripping.

[0071] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, which can execute the circuit breaker detection method of the electricity meter sorting platform in any of the above method embodiments.

[0072] Figure 3 The diagram shows a structural schematic of a terminal according to an embodiment of the present invention. The specific implementation of the terminal is not limited by the specific embodiments of the present invention.

[0073] like Figure 3 As shown, the terminal may include: a processor 302, a communications interface 304, a memory 306, and a communications bus 308.

[0074] The processor 302, communication interface 304, and memory 306 communicate with each other via communication bus 308.

[0075] Communication interface 304 is used to communicate with other network elements such as clients or other servers.

[0076] The processor 302 is used to execute program 310, specifically the relevant steps in the circuit breaker detection embodiment of the above-mentioned electricity meter sorting platform.

[0077] Specifically, program 310 may include program code that includes computer operation instructions.

[0078] Processor 302 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The terminal may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0079] Memory 306 is used to store program 310. Memory 306 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0080] Specifically, program 310 can be used to cause processor 302 to perform the following operations:

[0081] When the circuit breaker is detected to have started to break the circuit, the historical circuit breaking data of the circuit breaker is obtained, and the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data are determined.

[0082] If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, then the status information of the sorting equipment is determined based on the real-time sorting operation data, and the abnormality judgment of the sorting equipment is made based on the status information.

[0083] If the sorting equipment is in normal operating condition, the power consumption value of the sorting equipment is calculated based on the sorting task information of the sorting energy meter;

[0084] If the applied electrode value does not match the circuit breaker extreme value in the historical circuit breaker data, the circuit breaker is determined to be faulty, and a closing command is sent to the circuit breaker's communication module so that the circuit breaker's control trigger can start the circuit breaker to close the circuit.

[0085] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing systems. They can be centralized on a single computing system or distributed across a network of multiple computing systems. Optionally, they can be implemented using program code executable by a computing system, thereby storing them in a storage system for execution by the computing system. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0086] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A circuit breaker detection method for an electricity meter sorting platform, characterized in that, include: When the circuit breaker is detected to have started to break the circuit, the historical circuit breaking data of the circuit breaker is obtained, and the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data are determined. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, then the status information of the sorting equipment is determined based on the real-time sorting operation data, and the abnormality judgment of the sorting equipment is made based on the status information. If the sorting equipment is in normal operating condition, the power consumption value of the sorting equipment is calculated based on the sorting task information of the sorting power meter; If the applied electrode value does not match the circuit breaker extreme value in the historical circuit breaker data, the circuit breaker is determined to be faulty, and a closing command is sent to the circuit breaker's communication module so that the circuit breaker's control trigger can start the circuit breaker to close the circuit.

2. The method according to claim 1, characterized in that, After acquiring the historical circuit breaker data and determining the sorting equipment corresponding to the circuit breaker, the historical sorting operation data of the sorting equipment, and the real-time sorting operation data, the method further includes: If abnormal operation data marked in the historical sorting operation data is found, then the abnormal operation data is compared with the real-time sorting operation data; or, If no abnormal operation data marked in the historical sorting operation data is found, the operation detection strategy of the sorting equipment is retrieved, and the historical sorting operation data is subjected to anomaly detection based on the operation detection strategy to determine the abnormal operation data, which is then compared with the real-time sorting operation data. The method further includes: If the abnormal operation data matches the real-time sorting operation data, a first open circuit normal signal is generated, and a first sorting abnormal alarm message is sent.

3. The method according to claim 2, characterized in that, The step of determining the status information of the sorting equipment based on the real-time sorting operation data, and performing anomaly judgment on the sorting equipment based on the status information, includes: The timestamp of the real-time sorting operation data is determined, and the status information of the sorting equipment is selected from the sorting operation data according to the time multiple of the timestamp. The real-time sorting operation data includes the running time, running speed, clamping pressure and running distance of the sorting equipment. Obtain the decision tree classification model that has been trained, and classify the state information based on the decision tree classification model to obtain the operating status of the sorting equipment. The decision tree classification model is trained based on sorting operation samples marked with normal operating status identifiers.

4. The method according to claim 3, characterized in that, The calculation of the power consumption value of the sorting equipment based on the sorting task information of the sorting energy meter includes: Load the sorting task information of the sorted energy meters, and extract the number of sorted energy meters and sorting time from the sorting task information; The power consumption value of the sorting equipment is determined according to the number of sorting power meters, the sorting time, and the equipment power parameters of the sorting equipment.

5. The method according to claim 1, characterized in that, Before determining that the circuit breaker is experiencing a circuit breaker open circuit abnormality and sending a closing command to the circuit breaker's communication module, the method further includes: If the applied electrode value matches the circuit breaker extreme value of the historical circuit breaker data, a second circuit breaker normal signal is generated, and a second sorting abnormality alarm message is sent. The method further includes: If the sorting equipment is in an abnormal operating state, a third open circuit normal signal is generated and a third sorting abnormal alarm message is sent.

6. The method according to claim 1, characterized in that, After determining that the circuit breaker is experiencing a circuit breaker malfunction and sending a closing command to the circuit breaker's communication module, the method further includes: The number of circuit breaker outages and the outage times of different circuit breakers are counted according to preset time intervals. Based on the number of circuit breaker anomalies and the time of the circuit breaker failure, a circuit breaker opening and closing curve is generated and output in the front-end interface.

7. A circuit breaker detection system for an electricity meter sorting platform, characterized in that, include: Main control equipment, circuit breakers, communication modules, and control triggers. The circuit breaker is used to initiate the circuit breaker; The main control device is used for the circuit breaker detection method of the electricity meter sorting platform according to any one of claims 1 to 6. When the circuit breaker is detected to start breaking the circuit, the device acquires the historical breaking data of the circuit breaker and determines the sorting device corresponding to the circuit breaker, the historical sorting operation data of the sorting device, and the real-time sorting operation data. If the abnormal operation data of the historical sorting operation data does not match the real-time sorting operation data, then the status information of the sorting equipment is determined based on the real-time sorting operation data, and the abnormality judgment of the sorting equipment is made based on the status information. If the sorting equipment is in normal operation, the power consumption value of the sorting equipment is calculated based on the sorting task information of the sorting energy meter; if the power consumption value does not match the circuit breaker extreme value of the historical circuit breaker data, the circuit breaker is determined to be faulty and a closing command is sent to the communication module of the circuit breaker. The communication module is used to transmit instructions; The control trigger is used to activate the circuit breaker to close the circuit.

8. A storage medium storing at least one executable instruction, characterized in that, The executable instructions cause the processor to perform the operation corresponding to the circuit breaker detection method of the electricity meter sorting platform as described in any one of claims 1-6.

9. A terminal, comprising: The system comprises a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; characterized in that the memory stores at least one executable instruction, which causes the processor to perform the operation corresponding to the circuit breaker detection method of the energy meter sorting platform as described in any one of claims 1-6.

Citation Information

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