Ammeter fault detection method and device, computer equipment and readable storage medium

Abstract

The invention relates to an ammeter fault detection method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining multi-source ammeter data of a to-be-detected ammeter; based on the ammeter appearance information and the ammeter data display information, performing fault detection on an external display function of the to-be-detected ammeter to obtain an ammeter external display detection result; based on at least one of the electricity meter communication address information, the electricity meter status word information, the electricity meter metering parameter information and the electricity meter impedance information, performing fault detection on the internal state information of the to-be-detected electricity meter to obtain an electricity meter internal state detection result; and generating an ammeter fault detection result of the to-be-detected ammeter according to the ammeter external display detection result and the ammeter internal state detection result. By adopting the method, the ammeter fault can be accurately detected.

Description

Technical Field

[0001] The present application relates to the field of power electronics technology, and in particular to an electric meter fault detection method, device, computer equipment and readable storage medium. Background Art

[0002] As an important link between the power supply system and users, the accuracy and stability of the electric meter are directly related to the accuracy of electric energy measurement and the continuity of power supply. However, electric meters are bound to fail during long-term operation. How to quickly and accurately locate these failures and repair them in time has become an urgent problem to be solved in the power industry.

[0003] Traditional meter fault detection methods generally rely on manual inspections or simple remote monitoring methods. For example, staff are regularly designated to conduct manual inspections in the meter detection area, relying on historical inspection experience, such as appearance inspections and simple functional tests, to promptly detect faulty meters in the meter detection area. Another example is to install remote monitoring methods such as cameras or infrared monitoring equipment to monitor whether there are faulty meters in the meter detection area.

[0004] However, the above-mentioned electric meter fault detection method has the technical problem of being inaccurate. Summary of the invention

[0005] Based on this, it is necessary to provide an accurate electric meter fault detection method, device, computer equipment, computer readable storage medium and computer program product to address the above technical problems.

[0006] In a first aspect, the present application provides an electric meter fault detection method, comprising:

[0007] Acquire multi-source meter data of the meter to be detected, the multi-source meter data including meter external display information and meter internal status information, the meter external display information including meter appearance information and meter data display information, the meter internal status information including at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information;

[0008] Based on the appearance information of the electric meter and the data display information of the electric meter, a fault detection is performed on the external display function of the electric meter to be detected, and an external display detection result of the electric meter is obtained;

[0009] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected, and an internal status detection result of the electric meter is obtained;

[0010] The meter fault detection result of the meter to be detected is generated according to the meter external display detection result and the meter internal state detection result.

[0011] In one embodiment, based on the appearance information of the electric meter and the data display information of the electric meter, a fault detection is performed on the external display function of the electric meter to be detected, and the external display detection result of the electric meter is obtained, including:

[0012] Based on the appearance information of the electric meter, the display function of the display device of the electric meter to be tested is tested to obtain the electric meter display test result, which indicates whether the display device of the electric meter to be tested displays normally;

[0013] Based on the meter data display information, the display value of the display device of the meter to be tested is detected to obtain an electric value detection result, which indicates whether the display information of the display device of the meter to be tested is consistent with the standard meter data display information;

[0014] Based on the meter display test result and the electric value test result, the meter external display test result is obtained.

[0015] In one embodiment, the multi-source meter data includes meter communication address information and meter status word information, and the meter internal status detection result includes a first fault detection result and a second fault detection result;

[0016] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected to obtain the internal status detection result of the electric meter, including:

[0017] Performing fault detection on the communication function of the communication chip and the storage function of the storage chip of the electric meter to be detected through the communication address information of the electric meter to obtain a first fault detection result;

[0018] Through the meter status word information, fault detection is performed on the clock information of the meter to be detected, the storage function of the storage chip, and the control function of the embedded safety control chip to obtain a second fault detection result.

[0019] In one of the embodiments, the multi-source electric meter data includes electric meter measurement parameter information;

[0020] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the measurement parameter information of the electric meter, and the impedance information of the electric meter, fault detection is performed on the internal status information of the electric meter to be detected, including:

[0021] Based on the error information between the metering parameter information and the preset standard metering parameter information, fault detection is performed on the microcontroller unit chip and the metering chip of the electric meter to be detected.

[0022] In one embodiment, the multi-source electric meter data includes electric meter impedance information;

[0023] Obtain multi-source meter data of the meter to be tested, including:

[0024] Perform impedance analysis on multiple connection ports of the electric meter to be tested to obtain the impedance information of the electric meter;

[0025] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the measurement parameter information of the electric meter, and the impedance information of the electric meter, fault detection is performed on the internal status information of the electric meter to be detected, including:

[0026] Based on the meter impedance information and preset normal meter impedance information, fault detection is performed on the internal state information of the meter to be detected.

[0027] In one embodiment, after generating the meter fault detection result of the meter to be detected according to the meter external display detection result and the meter internal state detection result, the method further includes:

[0028] When the meter fault detection result of the meter to be detected indicates a meter fault, obtaining fault data characteristics of the meter to be detected;

[0029] Acquire the real-time multi-source meter data of the latest detected meter, and extract the real-time multi-source data features of the real-time multi-source meter data;

[0030] If the real-time multi-source data features have data features that match the fault data features, then the meter fault detection result of the most recently detected meter is characterized as abnormal.

[0031] In a second aspect, the present application also provides an electric meter fault detection device, comprising:

[0032] A data acquisition module, used to acquire multi-source meter data of the meter to be detected, the multi-source meter data including meter external display information and meter internal status information, the meter external display information including meter appearance information and meter data display information, the meter internal status information including at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information;

[0033] The first detection module is used to perform fault detection on the external display function of the electric meter to be detected based on the appearance information of the electric meter and the data display information of the electric meter, and obtain the external display detection result of the electric meter;

[0034] The second detection module is used to perform fault detection on the internal state information of the electric meter to be detected based on at least one of the communication address information of the electric meter, the state word information of the electric meter, the measurement parameter information of the electric meter and the impedance information of the electric meter, and obtain the internal state detection result of the electric meter;

[0035] The electric meter detection module is used to generate an electric meter fault detection result of the electric meter to be detected according to the electric meter external display detection result and the electric meter internal state detection result.

[0036] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0037] Acquire multi-source meter data of the meter to be detected, the multi-source meter data including meter external display information and meter internal status information, the meter external display information including meter appearance information and meter data display information, the meter internal status information including at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information;

[0038] Based on the appearance information of the electric meter and the data display information of the electric meter, a fault detection is performed on the external display function of the electric meter to be detected, and an external display detection result of the electric meter is obtained;

[0039] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected, and an internal status detection result of the electric meter is obtained;

[0040] The meter fault detection result of the meter to be detected is generated according to the meter external display detection result and the meter internal state detection result.

[0041] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0042] Acquire multi-source meter data of the meter to be detected, the multi-source meter data including meter external display information and meter internal status information, the meter external display information including meter appearance information and meter data display information, the meter internal status information including at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information;

[0043] Based on the appearance information of the electric meter and the data display information of the electric meter, a fault detection is performed on the external display function of the electric meter to be detected, and an external display detection result of the electric meter is obtained;

[0044] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected, and an internal status detection result of the electric meter is obtained;

[0045] The meter fault detection result of the meter to be detected is generated according to the meter external display detection result and the meter internal state detection result.

[0046] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0047] Acquire multi-source meter data of the meter to be detected, the multi-source meter data including meter external display information and meter internal status information, the meter external display information including meter appearance information and meter data display information, the meter internal status information including at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information;

[0048] Based on the appearance information of the electric meter and the data display information of the electric meter, a fault detection is performed on the external display function of the electric meter to be detected, and an external display detection result of the electric meter is obtained;

[0049] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected, and an internal status detection result of the electric meter is obtained;

[0050] The meter fault detection result of the meter to be detected is generated according to the meter external display detection result and the meter internal state detection result.

[0051] The above-mentioned electric meter fault detection method, device, computer equipment, computer-readable storage medium and computer program product perform fault detection on the external display function and internal status information of the electric meter to be detected from multiple dimensions and comprehensively through the electric meter external display information such as the electric meter appearance information and the electric meter data display information, as well as the electric meter communication address information, the electric meter status word information, the electric meter measurement parameter information and at least one electric meter internal status information of the electric meter impedance information, and finally integrate the electric meter external display detection results and the electric meter internal status detection results to achieve accurate detection of the fault monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments of the present application or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 An application environment diagram of an electric meter fault detection method in an embodiment;

[0054] Figure 2 A schematic diagram of a flow chart of an electric meter fault detection method in one embodiment;

[0055] Figure 3is a flow chart of an electric meter fault detection method in another embodiment;

[0056] Figure 4 It is a flowchart of an electric meter fault detection method in a specific application embodiment;

[0057] Figure 5 is a structural block diagram of an electric meter fault detection device in one embodiment;

[0058] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are used to explain the present application and are not used to limit the present application.

[0060] The electric meter fault detection method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0061] The user operates on the interface of the terminal 102 and clicks on the meter fault detection control in the terminal 102 interface. The terminal 102 generates a meter fault detection request to the server 104. The server 104 detects the meter to be detected based on the meter fault detection request and obtains multi-source meter data of the meter to be detected. The multi-source meter data includes meter external display information and meter internal state information. The meter external display information includes meter appearance information and meter data display information. The meter internal state information includes at least one of meter communication address information, meter status word information, meter measurement parameter information and meter impedance information. Based on Based on the meter appearance information and the meter data display information, a fault detection is performed on the external display function of the meter to be detected to obtain the meter external display detection result; based on at least one of the meter communication address information, the meter status word information, the meter measurement parameter information and the meter impedance information, a fault detection is performed on the internal state information of the meter to be detected to obtain the meter internal state detection result; based on the meter external display detection result and the meter internal state detection result, a meter fault detection result of the meter to be detected is generated, and further, the meter fault detection result of the meter to be detected will be pushed to the terminal 102, and displayed to the user by the terminal 102.

[0062] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0063] In an exemplary embodiment, Figure 2 As shown, a method for detecting faults in an electric meter is provided. Figure 1 The server 104 in FIG. 1 is used as an example for explanation. Among them:

[0064] S100, obtaining multi-source electric meter data of an electric meter to be detected.

[0065] The multi-source meter data includes meter external display information and meter internal status information. The meter external display information includes meter appearance information and meter data display information. The meter internal status information includes at least one of meter communication address information, meter status word information, meter measurement parameter information, and meter impedance information. The meter status word information is used to indicate the state of the meter controller when executing instructions. The meter can be a returned meter or a meter in use. The returned meter is a meter that has been installed at the customer site and returned to the power supply company after a certain number of years of operation or for some reason.

[0066] Specifically, the user operates on the terminal interface and clicks the meter fault detection control in the terminal interface. The terminal generates a meter fault detection request to the server. Based on the meter fault detection request, the server controls the automatic detection device to detect the meter to be detected and obtains multi-source meter data of the meter to be detected.

[0067] Obtaining multi-source meter data of the meter to be detected includes: obtaining external display information and internal state information of the meter to be detected. Further, obtaining external display information of the meter to be detected includes: obtaining meter appearance information and meter data display information.

[0068] The appearance information of the electric meter includes appearance information such as whether the display device of the electric meter to be tested is working normally, for example, whether the pulse indicator light, alarm indicator light, trip indicator light, liquid crystal, display, etc. of the electric meter to be tested are working normally, etc. The electric meter data display information refers to the numerical information displayed by the display device of the electric meter to be tested, and the electric meter data display information includes but is not limited to information such as phase A voltage, phase A current, phase A power factor, phase B voltage, phase B current, phase B power factor, phase C voltage, phase C current, phase C power factor, neutral current, grid frequency, temperature inside the meter, and clock battery voltage.

[0069] Obtain the internal status information of the meter to be tested, including:

[0070] 1. Perform communication and status function tests on the meter to be tested, and collect data on the internal parameters of the meter to be tested. The collectable data include meter communication address information, meter clock information, meter status word information, and frozen data, etc. The meter status word information includes but is not limited to operation status word 1, operation status word 4, operation status word 5, operation status word 6, operation status word 7, etc.

[0071] 2. Through the metering and testing equipment, the metering function of the meter to be tested is tested, and the metering parameter information of the meter to be tested is collected. The data that can be collected include basic error data, starting test data, latent test data, running metering test data, daily timing error data and other metering parameter information. Specifically, the meter to be tested is tested for corresponding experimental items through the metering and testing equipment, such as starting test, latent test, running metering test and other experimental items. The meter to be tested will generate corresponding data, and then the corresponding data will be collected through the metering and testing software.

[0072] 3. Perform impedance analysis test on the meter to be tested and collect meter impedance information, which includes but is not limited to frequency, amplitude, phase angle and other information.

[0073] S200, based on the meter appearance information and the meter data display information, a fault detection is performed on the external display function of the meter to be detected to obtain a meter external display detection result.

[0074] Specifically, the meter appearance information and the meter data display information are used to jointly perform fault detection on the external display function of the meter to be tested, and the meter external display detection result is obtained. For example, it can be detected whether the display device of the meter is working, and whether the display device of the meter displays the correct value.

[0075] S300, based on at least one of the meter communication address information, the meter status word information, the meter measurement parameter information and the meter impedance information, perform fault detection on the internal status information of the meter to be detected to obtain the meter internal status detection result.

[0076] Specifically, based on at least one of the meter communication address information, the meter status word information, the meter measurement parameter information and the meter impedance information, fault detection is performed on the internal state information of the meter to be detected. For example, based on the meter communication address information, fault detection is performed on the internal state information of the meter to be detected alone. Alternatively, based on the meter status word information and the meter measurement parameter information, fault detection is performed on the internal state information of the meter to be detected together. For another example, based on the meter communication address information, the meter status word information, the meter measurement parameter information and the meter impedance information, fault detection is performed comprehensively on the internal state information of the meter to be detected from multiple dimensions to obtain the meter internal state detection result.

[0077] S400, generating a meter fault detection result of the meter to be detected according to the meter external display detection result and the meter internal state detection result.

[0078] Specifically, the meter external display detection result and the meter internal state detection result are collected to generate the meter fault detection result of the meter to be detected. That is to say, the present application combines the meter external display information such as the meter appearance information and the meter data display information, the meter communication address information, the meter status word information, the meter measurement parameter information and at least one meter internal state information of the meter impedance information to form multi-source meter data, and judges the multi-source meter data layer by layer and submits them layer by layer to complete the fault detection of the meter to be detected.

[0079] In detail, when both the meter external display test result and the meter internal status test result indicate that no meter fault is detected, the meter fault detection result generated for the meter to be tested indicates that the meter is normal and the meter to be tested does not need to be repaired; when at least one of the meter external display test result and the meter internal status test result indicates that a meter fault is detected, the meter fault detection result generated for the meter to be tested indicates that the meter is abnormal and the meter to be tested needs to be repaired.

[0080] Furthermore, in the case where the meter fault detection result of the meter to be detected indicates that the meter is abnormal, the fault position can also be located based on the detection result indicating the meter fault. For example, in the case where the meter external display detection result indicates that the meter fault is detected, it is determined that the meter data display information is abnormal, and the fault is located in the meter data related aspects of the meter to be detected; for another example, in the case where the meter internal state detection result indicates that the meter fault is detected, it is determined that the meter communication address information is abnormal, and the fault is located in the meter communication address information related aspects of the meter to be detected.

[0081] In the above-mentioned electric meter fault detection method, through the external display information of the electric meter such as the electric meter appearance information and the electric meter data display information, as well as at least one of the internal state information of the electric meter such as the electric meter communication address information, the electric meter status word information, the electric meter measurement parameter information and the electric meter impedance information, fault detection is performed on the external display function and the internal state information of the electric meter to be detected from multiple dimensions and comprehensively, and finally the external display detection result of the electric meter and the internal state detection result of the electric meter are integrated to realize accurate detection of the fault monitoring result.

[0082] In an exemplary embodiment, Figure 3 As shown, S200 includes:

[0083] S220, based on the appearance information of the electric meter, a display function of a display device of the electric meter to be inspected is inspected to obtain an electric meter display inspection result.

[0084] S240, based on the meter data display information, detect the displayed value of the display device of the meter to be detected to obtain the electricity display value detection result.

[0085] S260, obtaining an electric meter external display detection result based on the electric meter display detection result and the electric meter indication value detection result.

[0086] Among them, the meter display test result indicates whether the display device of the meter to be tested displays normally, and the electric value test result indicates whether the display information of the display device of the meter to be tested is consistent with the standard meter data display information. The display device can be a pulse indicator light, an alarm indicator light, a trip indicator light, a liquid crystal, a display and other devices. Standard meter data display information refers to the correct meter data display information. Correct meter data display information not only means that the value is correct, but also includes that the display format, range and other conditions meet the preset conditions.

[0087] Specifically, based on the appearance information of the electric meter, whether the display device of the electric meter to be tested can display normally is determined to obtain the electric meter display test result. For example, whether the liquid crystal display screen is normal is directly determined to obtain the test result of the liquid crystal display screen to determine whether the display driving structure of the liquid crystal display screen is normal. In actual applications, if the display device of the electric meter to be tested cannot display normally, the display device is often in a black screen state. If the display device of the electric meter to be tested can display normally, the corresponding value will be displayed on the display device.

[0088] That is to say, when the meter's appearance information indicates that the screen is black, the meter display test result indicates that the display device of the meter to be tested cannot display normally and the display device is in a faulty state; when the meter's appearance information indicates that it can display values, the meter display test result indicates that the display device of the meter to be tested can display normally and the display device is in a normal state.

[0089] Furthermore, based on the meter data display information, the display value of the display device of the meter to be tested is tested, mainly to determine whether the display information of the display device of the meter to be tested is consistent with the standard meter data display information, that is, to determine whether the display value of the display device of the meter to be tested is a correct value, whether the format of the displayed value is the same as the standard format, whether the range of the display device where the displayed value is located is within the preset display value display range, etc., so as to obtain the electricity display value detection result.

[0090] When the displayed value of the display device of the meter to be tested is a correct value, the format of the displayed value is the same as the standard format, and the range of the display device where the displayed value is located is within the preset displayable range of the displayed value, the electrical value detection result indicates that the display information of the display device of the meter to be tested is consistent with the standard meter data display information, and the display device is in a normal state. When the displayed value of the display device of the meter to be tested is a correct value, the format of the displayed value is the same as the standard format, and the range of the display device where the displayed value is located is within the preset displayable range of the displayed value, and any one of the three conditions is not met, the electrical value detection result indicates that the display information of the display device of the meter to be tested is inconsistent with the standard meter data display information, and the display device is in a faulty state.

[0091] Furthermore, the meter display test results and the meter value test results are combined to obtain the meter external display test results. The meter external display test results not only indicate whether the display device of the meter to be tested displays normally, but also indicate whether the displayed value of the display device of the meter to be tested is a correct value, whether the format of the displayed value is the same as the standard format, whether the range of the display device where the displayed value is located is within the preset display value display range, etc.

[0092] In this embodiment, by judging whether the display device of the meter to be tested is displaying normally, whether the displayed value of the display device of the meter to be tested is a correct value, whether the format of the displayed value is the same as the standard format, whether the range of the display device where the displayed value is located is within the preset display range of the displayed value, etc., a comprehensive fault detection is performed on the external display device of the meter to be tested to obtain a more accurate meter external display detection result.

[0093] In an exemplary embodiment, the multi-source meter data includes meter communication address information and meter status word information, and the meter internal status detection result includes a first fault detection result and a second fault detection result;

[0094] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, a fault detection is performed on the internal status information of the electric meter to be detected to obtain the internal status detection result of the electric meter, including:

[0095] Through the communication address information of the electric meter, fault detection is performed on the communication function of the communication chip of the electric meter to be tested and the storage function of the storage chip to obtain a first fault detection result; through the status word information of the electric meter, fault detection is performed on the clock information of the electric meter to be tested, the storage function of the storage chip, and the control function of the embedded safety control chip to obtain a second fault detection result.

[0096] Specifically, it is determined whether it is possible to directly communicate with the meter through the meter communication address information to determine whether the communication function of the communication chip of the meter to be detected is abnormal, wherein the communication chip may be a 485 chip or other chip used for communication. Furthermore, it is also possible to determine whether the data read from the storage chip during communication is abnormal through the meter communication address information to determine whether the storage function of the storage chip is abnormal.

[0097] When it is possible to communicate directly with the meter through the meter communication address information, the communication function of the communication chip of the meter to be tested is normal; when data can be read from the storage chip through the meter communication address information, the storage function of the storage chip of the meter to be tested is normal; when both the communication function of the communication chip of the meter to be tested and the storage function of the storage chip are normal, the first fault detection result indicates that both the communication function of the communication chip of the meter to be tested and the storage function of the storage chip are normal.

[0098] By reading the meter status word information, fault detection is directly performed on the clock information of the meter to be tested, the storage function of the storage chip, and the control function of the embedded safety control chip. As shown in Table 1, when bit 6 of the status word is 0, it can be judged that the status word information indicates that the fee control mode state of the meter to be tested is local.

[0099] Table 1 Meter status word information

[0100]

[0101] Based on the above table, the meter status word information can be used to detect whether the clock voltage data of the meter to be tested is in a normal state or undervoltage state through bit2 of the status word, and whether the storage function of the storage chip is faulty or damaged through bit13 of the status word. It can also be used to detect whether the clock of the meter to be tested is faulty through bit15 of the status word, and the ESAM chip (Embedded Secure Access Module, embedded security control) can be fault-checked through bit9 of the status word. In addition, the meter status word information can also be used to detect other internal states of the meter to be tested, such as detecting whether the internal program of the meter to be tested is wrong, detecting whether an error occurs in the control loop, etc.

[0102] In the above embodiment, accurate fault detection is performed on the communication function of the communication chip of the meter to be tested and the storage function of the storage chip through the meter communication address information, and accurate fault detection is performed on the clock information of the meter to be tested, the storage function of the storage chip, and the control function of the embedded safety control chip through the meter status word information, thereby ensuring the reliability of each chip or structure in the meter, helping to improve the stability and reliability of the entire power grid, and reducing meter failure events caused by failures of each chip or structure of the meter.

[0103] In an exemplary embodiment, the multi-source electric meter data includes electric meter measurement parameter information;

[0104] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the measurement parameter information of the electric meter, and the impedance information of the electric meter, fault detection is performed on the internal status information of the electric meter to be detected, including:

[0105] Based on the error information between the metering parameter information and the preset standard metering parameter information, fault detection is performed on the microcontroller unit chip and the metering chip of the electric meter to be detected.

[0106] The preset standard metering parameter information is metering parameter information corresponding to the metering parameter and within a safe range. The preset standard metering parameter information can be determined through historical experience or technical specifications of the electric meter.

[0107] Specifically, the internal state information of the meter to be tested is detected through the metering parameter information of the meter, such as basic error data, starting test data, creeping test data, running metering test data, daily time error data, etc. The means of fault detection is to obtain the representative metering information corresponding to the metering parameter information, and perform fault detection on the internal state information of the meter to be tested based on the error information between the metering parameter information and the preset standard metering parameter information.

[0108] That is to say, fault detection is performed on the internal state information of the meter to be tested through the error information between the basic error data and the preset standard basic error data, the error information between the starting test data and the preset standard starting test data, the error information between the creeping test data and the preset standard creeping test data, the error information between the moving meter test data and the preset standard moving meter test data, and the error information between the daily timing error data and the preset standard daily timing error data.

[0109] More specifically, performing fault detection on the internal state information of the meter to be detected is actually performing fault detection on the microcontroller chip and the metering chip of the meter to be detected together with the above error information.

[0110] If the error information between the metering parameter information and the preset standard metering parameter information meets the preset safety range, the result of the fault detection indicates that there is no fault. If the error information between the metering parameter information and the preset standard metering parameter information does not meet the preset safety range, the result of the fault detection indicates that there is a fault, and the metering parameter information whose error information does not meet the preset safety range is determined as the fault location point, and the fault location point is subsequently repaired.

[0111] In the above embodiment, by acquiring error information between metering parameter information and preset standard metering parameter information one by one, fault detection is performed on the microcontroller unit chip and metering chip of the meter to be tested, so that fault detection can be accurately performed on the microcontroller unit chip and metering chip of the meter to be tested.

[0112] In one exemplary embodiment, the multi-source meter data includes meter impedance information;

[0113] Obtain multi-source meter data of the meter to be tested, including:

[0114] Perform impedance analysis on multiple connection ports of the electric meter to be tested to obtain the impedance information of the electric meter;

[0115] Based on at least one of the communication address information of the electric meter, the status word information of the electric meter, the measurement parameter information of the electric meter, and the impedance information of the electric meter, fault detection is performed on the internal status information of the electric meter to be detected, including:

[0116] Based on the meter impedance information and preset normal meter impedance information, fault detection is performed on the internal state information of the meter to be detected.

[0117] Specifically, impedance tests are performed on different connection ports of the meter to be tested, meter impedance data is collected, and normal meter impedance information of the chip corresponding to each connection port is obtained. Normal meter impedance information is the meter impedance information when the chip is in a normal state. The normal meter impedance information of the chip corresponding to each connection port is matched with the corresponding meter impedance data to determine whether the meter impedance data has an error value with the normal meter impedance information. If the error value is not large, it means that the meter impedance data is similar to the normal meter impedance information and the meter impedance data is in a normal state. In addition, when the multi-source meter data is more than just meter impedance information, other multi-source meter data and meter impedance information can be combined to perform comprehensive fault detection on the internal state information of the meter to be tested.

[0118] In an exemplary embodiment, fault detection can also be performed on the internal state information of the meter to be detected based on the meter impedance information and the preset fault meter impedance information, that is, the fault meter impedance information of the chip corresponding to each wiring port is obtained, the fault meter impedance information is the meter impedance information when the chip is in a faulty state, the fault meter impedance information of the chip corresponding to each wiring port is matched with the corresponding meter impedance data, and it is determined whether the meter impedance data has an error value with the fault meter impedance information. If the error value is not large, it means that the meter impedance data is similar to the fault meter impedance information, and the meter impedance data is in a faulty state.

[0119] In the above embodiment, by performing fault detection on the internal state information of the electric meter to be detected based on the electric meter impedance information and the preset normal electric meter impedance information, it is more efficient and accurate.

[0120] In an exemplary embodiment, after generating a meter fault detection result of the meter to be detected according to the meter external display detection result and the meter internal state detection result, the method further includes:

[0121] In the case that the meter fault detection result of the meter to be detected indicates a meter fault, the fault data feature of the meter to be detected is obtained; the real-time multi-source meter data of the latest detected meter is obtained, and the real-time multi-source data features of the real-time multi-source meter data are extracted; if the real-time multi-source data features have data features that match the fault data features, then the meter fault detection result of the latest detected meter indicates an abnormality.

[0122] Specifically, when the meter fault detection result of the meter to be detected represents the meter fault, the present application can also perform a comprehensive analysis on multi-source meter data through a fault tracing analysis model to complete the precise fault location of the meter to be detected, and the steps are as follows:

[0123] 1) Use data analysis technology to obtain fault data related to the fault of the meter to be tested, pre-process the fault data, and extract features related to the meter fault from the pre-processed data, that is, the fault data features of the meter to be tested. These features may include the changing trends of metering parameters such as current, voltage, and power, as well as abnormal fluctuations of impedance parameters such as resistance, inductance, and capacitance. Generally, extracting features related to meter faults from pre-processed data includes: identifying feature variables that are highly correlated with the fault state from the fault data through statistical analysis, machine learning algorithms, etc., to provide a basis for subsequent fault location.

[0124] 2) Based on the extracted fault data features, a fault tracing analysis model is constructed. The model can use a variety of technical means, such as decision trees, support vector machines, neural networks and other machine learning algorithms, or a combination of expert systems and rule engines. The training of the model requires the use of historical fault data features and corresponding fault causes as training sets, and the prediction accuracy and generalization ability of the model can be improved by continuously optimizing the model parameters and structure.

[0125] 3) Acquire the real-time multi-source meter data of the latest detected meter, extract the real-time multi-source data features of the real-time multi-source meter data, and input the real-time multi-source data features into the fault tracing analysis model. In order to reduce errors, the latest detected meter is a meter of the same type as the meter to be detected.

[0126] The model will detect whether there are data features in the real-time multi-source data features that match the fault data features based on the features and patterns of the input data. If so, the meter fault detection result of the latest detected meter is characterized as abnormal, and the matching data features are used as abnormal data features. Based on the abnormal data features, the model outputs possible fault causes and fault locations. If not, the meter fault detection result of the latest detected meter is characterized as normal. Finally, combined with the output results of the model and actual operation and maintenance experience, the fault cause is further analyzed and verified to determine the fault location results of the latest detected meter.

[0127] In the above embodiment, by establishing a fault tracing analysis model, the fault detection efficiency of subsequent new electricity meters can be improved, so that the new electricity meters can be maintained in time.

[0128] In an exemplary embodiment, Figure 4 As shown, the electric meter fault detection method will be described below in the most detailed embodiment, including:

[0129] 1. Multi-source meter data collection:

[0130] 1) Collection of meter appearance information: Perform appearance inspection on the meter and collect data such as whether the pulse indicator light, alarm indicator light, trip indicator light, LCD, display, etc. are working properly.

[0131] 2) Meter data display information detection, the data that can be collected are the A-phase voltage value, A-phase current value, A-phase power factor value, B-phase voltage value, B-phase current value, B-phase power factor value, C-phase voltage value, C-phase current value, C-phase power factor value, neutral line current value, grid frequency value, meter internal temperature value and clock battery voltage value displayed by the display device;

[0132] 3) Meter communication and status function detection. Collect data on the internal parameters of the meter, including communication address, meter clock, running status word 1, running status word 4, running status word 5, running status word 6, running status word 7 and frozen data;

[0133] 4) Metering function test of electric meters. The metering data of electric meters are collected. The data that can be collected include basic error data, starting test data, creeping test data, running metering test data, and daily timing error data. The specific experimental process is to test the corresponding experimental items of the electric meter through the metering and testing equipment. The corresponding equipment and electric meter will generate corresponding data, and then the corresponding data will be collected through the metering and testing software.

[0134] 5) Meter impedance analysis test: Perform impedance tests on different connection ports of the meter and collect impedance analysis data. The data that can be collected include frequency, amplitude, and phase angle.

[0135] 2. Through the test data, conduct progressive analysis to accurately locate the faulty device of the meter.

[0136] 1) Appearance and display information detection: The appearance information of the meter can be used to directly determine whether the display device of the meter is normal, and whether the display driver of the meter is normal. For example, if the pulse indicator light fails, the meter can be measured normally, and there is no flicker, the output indicator light fails and the next step is executed.

[0137] 2) Whether the meter's 485 chip is normal can be directly determined by whether it can communicate with the meter. If it cannot communicate with the meter, the 485 chip is abnormal. Whether the meter's storage chip is normal can be directly determined by whether it can read the data stored in the meter. If the stored data is wrong, the storage chip is abnormal. By parsing the status word information of the meter, whether the ESAM chip and clock battery are normal can be directly determined. If the status word information indicates that the clock is undervoltage, the output clock battery is abnormal. If the status word information indicates an ESAM error, the output ESAM chip is abnormal. If the status word information indicates a memory error, the output storage chip is abnormal.

[0138] 3) Through the metering data, according to the error limit of the metering data specified in the technical specifications of the meter, it can be preliminarily judged whether the MCU chip and the metering chip of the meter are normal.

[0139] 4) Establish an impedance data analysis model, and based on the meter impedance information and the preset normal meter impedance information, use the impedance data analysis model to perform fault detection on the internal state information of the meter to be tested.

[0140] 5) The meter’s indication data and impedance analysis data are combined with the appearance data, internal parameter data, and measurement data from the above tests to form multi-source data. Based on the previously established impedance data analysis model, and based on the tested appearance data, internal parameter data, and measurement data, the faulty components of the meter are accurately located layer by layer through judgment and progress.

[0141] 3. Comprehensively analyze the above multi-source data through the fault tracing analysis model to accurately locate the faulty components of the meter.

[0142] 1) Use data analysis technology to extract features related to meter faults from preprocessed data. These features can include the changing trends of metering parameters such as current, voltage, and power, as well as abnormal fluctuations of impedance parameters such as resistance, inductance, and capacitance. Through statistical analysis, machine learning algorithms, and other means, characteristic variables that are highly correlated with the fault state are identified to provide a basis for subsequent fault location.

[0143] 2) Based on the extracted fault features, a fault tracing analysis model is constructed. The model can use a variety of technical means, such as decision trees, support vector machines, neural networks and other machine learning algorithms, or a combination of expert systems and rule engines. The model training needs to use historical fault data and corresponding fault causes as training sets, and improve the prediction accuracy and generalization ability of the model by continuously optimizing the model parameters and structure.

[0144] 3) Input the real-time collected meter data into the fault tracing analysis model, and the model will output the possible fault cause and fault location based on the characteristics and patterns of the input data. Combined with the output results of the model and actual operation and maintenance experience, the fault cause is further analyzed and verified to determine the final fault location result.

[0145] Through these technical means and methods, the present application can efficiently and accurately locate and predict fault conditions in the electric meter, significantly improving the maintenance efficiency of the electric meter.

[0146] Furthermore, the technical effects produced by the above technical means are mainly reflected in the following aspects, which are directly related to the technical problems pointed out in the background technology and provide corresponding solutions:

[0147] 1. Improve fault detection efficiency: By outputting the external display information and internal status information of the meter, a multi-source data type is formed. The data is comprehensively analyzed through a neural network analysis model to quickly and accurately locate the faulty device of the meter, which greatly improves the efficiency of fault detection and solves the problem of inefficient manual detection.

[0148] 2. Enhance the accuracy of fault judgment: Through multi-source data types combined with big data models, this application can accurately determine whether components are damaged, solving the problem of insufficient fault judgment accuracy in traditional methods.

[0149] 3. Reduce maintenance costs: Automated fault detection and accurate fault location reduce unnecessary maintenance work and maintenance costs, and improve the work efficiency of the maintenance team.

[0150] 4. Improve grid reliability: By ensuring the reliability of each component in the meter, this application helps to improve the stability and reliability of the entire power grid and reduce meter failure events caused by failure of each component.

[0151] 5. Optimize maintenance strategy: The fault location information provided in this application can help maintenance personnel optimize maintenance strategies, perform targeted maintenance or replacement, and improve resource utilization efficiency.

[0152] 6. Support large-scale deployment: The method of this application is suitable for the deployment of large-scale electricity meters, and can effectively manage and monitor a large number of electricity meters, solving the problem of component fault detection and management during large-scale deployment.

[0153] In summary, the technical means and methods of the present application overcome the multiple technical problems pointed out in the background technology, achieve efficient and accurate detection and positioning of component failures, and provide strong technical support for the stable operation of electric meters and the reliability of power grids.

[0154] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0155] Based on the same inventive concept, the embodiment of the present application also provides an electric meter fault detection device for implementing the electric meter fault detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the electric meter fault detection device provided below can refer to the limitations of the electric meter fault detection method above, and will not be repeated here.

[0156] In an exemplary embodiment, Figure 5 As shown, an electric meter fault detection device is provided, comprising: a data acquisition module 100, a first detection module 200, a second detection module 300 and an electric meter detection module 400, wherein:

[0157] The data acquisition module 100 is used to acquire multi-source meter data of the meter to be detected, wherein the multi-source meter data includes meter external display information and meter internal state information, wherein the meter external display information includes meter appearance information and meter data display information, and the meter internal state information includes at least one of meter communication address information, meter status word information, meter measurement parameter information, and meter impedance information;

[0158] The first detection module 200 is used to perform fault detection on the external display function of the electric meter to be detected based on the electric meter appearance information and the electric meter data display information, and obtain the electric meter external display detection result;

[0159] The second detection module 300 is used to perform fault detection on the internal state information of the meter to be detected based on at least one of the meter communication address information, the meter state word information, the meter measurement parameter information and the meter impedance information, and obtain the meter internal state detection result;

[0160] The electric meter detection module 400 is used to generate an electric meter fault detection result of the electric meter to be detected according to the electric meter external display detection result and the electric meter internal state detection result.

[0161] In one embodiment, the first detection module 200 is also used to detect the display function of the display device of the meter to be detected based on the meter appearance information to obtain the meter display detection result, and the meter display detection result indicates whether the display device of the meter to be detected is displaying normally; based on the meter data display information, the display value of the display device of the meter to be detected is detected to obtain the electric indication value detection result, and the electric indication value detection result indicates whether the display information of the display device of the meter to be detected is consistent with the standard meter data display information; based on the meter display detection result and the electric indication value detection result, the meter external display detection result is obtained.

[0162] In one embodiment, the multi-source meter data includes meter communication address information and meter status word information, and the meter internal state detection result includes a first fault detection result and a second fault detection result; the second detection module 300 is also used to perform fault detection on the communication function of the communication chip of the meter to be detected and the storage function of the storage chip through the meter communication address information to obtain a first fault detection result; and perform fault detection on the clock information of the meter to be detected, the storage function of the storage chip, and the control function of the embedded security control chip through the meter status word information to obtain a second fault detection result.

[0163] In one embodiment, the multi-source meter data includes metering parameter information; the second detection module 300 is also used to perform fault detection on the microcontroller chip and the metering chip of the meter to be detected based on the error information between the metering parameter information and the preset standard metering parameter information.

[0164] In one embodiment, the multi-source meter data includes meter impedance information; the data acquisition module 100 is also used to perform impedance analysis on multiple connection ports of the meter to be detected to obtain meter impedance information; the second detection module 300 is also used to perform fault detection on the internal state information of the meter to be detected based on the meter impedance information and preset normal meter impedance information.

[0165] In one embodiment, the electric meter fault detection device also includes obtaining fault data characteristics of the electric meter to be detected when the electric meter fault detection result of the electric meter to be detected indicates an electric meter fault; obtaining real-time multi-source electric meter data of the latest detected electric meter, and extracting real-time multi-source data characteristics of the real-time multi-source electric meter data; if the real-time multi-source data characteristics have data characteristics that match the fault data characteristics, then the electric meter fault detection result of the latest detected electric meter indicates abnormality.

[0166] Each module in the above-mentioned electric meter fault detection device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0167] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as multi-source meter data of the meter to be detected. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a meter fault detection method is implemented.

[0168] Those skilled in the art will understand that Figure 6 The structure shown in the figure is a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0169] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0170] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0171] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0172] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0173] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0174] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for detecting an electric meter fault, characterized in that: The method comprises: Acquire multi-source meter data of the meter to be detected, wherein the multi-source meter data includes meter external display information and meter internal state information, wherein the meter external display information includes meter appearance information and meter data display information, and the meter internal state information includes at least one of meter communication address information, meter status word information, meter measurement parameter information, and meter impedance information; Based on the meter appearance information and the meter data display information, a fault detection is performed on the external display function of the meter to be detected to obtain a meter external display detection result; Based on at least one of the meter communication address information, the meter status word information, the meter measurement parameter information, and the meter impedance information, a fault detection is performed on the internal status information of the meter to be detected to obtain a meter internal status detection result; The meter fault detection result of the meter to be detected is generated according to the meter external display detection result and the meter internal state detection result.

2. The method according to claim 1, characterized in that The performing fault detection on the external display function of the electric meter to be detected based on the electric meter appearance information and the electric meter data display information to obtain the electric meter external display detection result includes: Based on the appearance information of the electric meter, a display function of a display device of the electric meter to be tested is tested to obtain an electric meter display test result, wherein the electric meter display test result indicates whether the display device of the electric meter to be tested displays normally; Based on the meter data display information, the display value of the display device of the meter to be tested is detected to obtain an electric value detection result, wherein the electric value detection result indicates whether the display information of the display device of the meter to be tested is consistent with the standard meter data display information; Based on the electric meter display detection result and the electric value detection result, an electric meter external display detection result is obtained.

3. The method according to claim 1, characterized in that The multi-source meter data includes the meter communication address information and meter status word information, and the meter internal status detection result includes a first fault detection result and a second fault detection result; Based on at least one of the meter communication address information, the meter status word information, the meter measurement parameter information, and the meter impedance information, a fault detection is performed on the internal status information of the meter to be detected to obtain a meter internal status detection result, including: Performing fault detection on the communication function of the communication chip and the storage function of the storage chip of the electric meter to be detected through the communication address information of the electric meter to obtain a first fault detection result; The meter status word information is used to perform fault detection on the clock information of the meter to be detected, the storage function of the storage chip, and the control function of the embedded safety control chip to obtain a second fault detection result.

4. The method according to claim 1, characterized in that: The multi-source electric meter data includes the electric meter measurement parameter information; The method of performing fault detection on the internal state information of the electric meter to be detected based on at least one of the electric meter communication address information, the electric meter state word information, the electric meter measurement parameter information and the electric meter impedance information comprises: Based on the error information between the metering parameter information and the preset standard metering parameter information, fault detection is performed on the micro control unit chip and the metering chip of the electric meter to be detected.

5. The method according to claim 1, characterized in that The multi-source electric meter data includes the electric meter impedance information; The step of obtaining multi-source electric meter data of the electric meter to be detected comprises: Perform impedance analysis on multiple connection ports of the electric meter to be tested to obtain the impedance information of the electric meter; The method of performing fault detection on the internal state information of the electric meter to be detected based on at least one of the electric meter communication address information, the electric meter state word information, the electric meter measurement parameter information and the electric meter impedance information comprises: Based on the meter impedance information and preset normal meter impedance information, fault detection is performed on the internal state information of the meter to be detected.

6. The method according to claim 1, characterized in that After generating the meter fault detection result of the meter to be detected according to the meter external display detection result and the meter internal state detection result, the method further includes: When the meter fault detection result of the meter to be detected indicates a meter fault, obtaining fault data characteristics of the meter to be detected; Acquire the real-time multi-source meter data of the latest detected meter, and extract the real-time multi-source data features of the real-time multi-source meter data; If the real-time multi-source data features include data features that match the fault data features, then the meter fault detection result of the most recently detected meter indicates an abnormality.

7. An electric meter fault detection device, characterized in that: The device comprises: A data acquisition module, used to acquire multi-source meter data of the meter to be detected, wherein the multi-source meter data includes meter external display information and meter internal status information, wherein the meter external display information includes meter appearance information and meter data display information, and the meter internal status information includes at least one of meter communication address information, meter status word information, meter measurement parameter information, and meter impedance information; A first detection module, configured to perform a fault detection on an external display function of the electric meter to be detected based on the electric meter appearance information and the electric meter data display information, and obtain an electric meter external display detection result; A second detection module is used to perform fault detection on the internal state information of the electric meter to be detected based on at least one of the communication address information of the electric meter, the state word information of the electric meter, the meter measurement parameter information and the impedance information of the electric meter, so as to obtain a detection result of the internal state of the electric meter; The electric meter detection module is used to generate an electric meter fault detection result of the electric meter to be detected according to the external display detection result of the electric meter and the internal state detection result of the electric meter.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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