Fault identification method and system for electric meter

Abstract

This invention relates to the field of electricity meter fault identification, specifically a method and system for electricity meter fault identification. The electricity meter data acquisition module comprehensively collects the meter's display status, communication signal strength, current parameters, and voltage parameters. The electricity meter data analysis module analyzes these parameters and sends the analyzed signals to a fault identification and repair module. The fault identification and repair module accurately determines the fault type of the electricity meter and performs repairs. This invention improves the accuracy of electricity meter monitoring; comprehensive parameter acquisition combined with accurate fault type identification allows for timely detection of potential problems and rapid location and repair. This invention aims to improve the accuracy of electricity meter monitoring, the reliability of communication, and the efficiency of management through the acquisition, analysis, and processing of multiple electricity meter parameters, providing strong support for the stable operation and intelligent management of power systems.

Description

Technical Field

[0001] The present invention relates to the field of fault identification of electric meters, and in particular to a fault identification method and system for electric meters. Background Art

[0002] With the continuous development of the power industry and the advancement of the intelligent process, the performance and functional requirements of electric meters are getting higher and higher. Traditional electric meter monitoring mainly focuses on the measurement of electrical parameters, such as current, voltage, power, etc., while relatively less attention is paid to non-electrical parameters such as the display screen status and communication status of the electric meter. In practical applications, the display screen failure of the electric meter may cause users to be unable to accurately read the electricity consumption information, affecting user experience and the service quality of the power company. Communication problems are also one of the common faults in the operation of electric meters, such as weak communication signals and communication interruptions, which will affect the transmission and remote monitoring and control of data, and bring difficulties to the management of the power system. With the construction of smart grids, a technical solution is needed that can comprehensively monitor the operating status of electric meters, quickly identify fault types and perform repairs in a timely manner to improve the management efficiency of electric meters and the stability of power systems. In order to solve the above problems, the present invention proposes a method that comprehensively considers the electrical parameters and non-electrical parameters of electric meters, analyzes the display screen status, communication signal strength, current parameters and voltage parameters, etc., to achieve fault type identification and maintenance, so as to meet the needs of modern power systems for intelligent management of electric meters. Summary of the invention

[0003] In order to solve the technical problems raised by the above background technology, the present invention provides a fault identification method and system for an electric meter.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] The present invention is a system for identifying faults of electric meters, comprising an identity recognition module, an electric meter data acquisition module, a data analysis module, an electric meter image analysis module, a fault identification and maintenance module and a data center.

[0006] The identity recognition module is used to confirm the user's identity and allocate permissions based on the user's identity. The specific acquisition process is as follows:

[0007] The output end of the identity recognition module is connected to the input end of the data center. Each user inputs personal information through the mobile phone display and sends it to the data center. The personal information includes ID card information, name, biological facial image and position information. The position information includes maintenance personnel, staff and residents. The data center receives the personal information and generates a corresponding personal set, classifies the personal set according to the position information, divides the maintenance personnel and staff into the company end and generates the corresponding company usage interface, divides the residents into the resident end and generates the corresponding resident usage interface. Each person scans the facial information through the mobile phone camera and extracts the biological facial image of the data center. The identity recognition module matches the biological facial image with the scanned facial information. If the match is successful, the corresponding usage interface is entered. If the match fails, the corresponding login interface is exited.

[0008] Permissions are assigned to users. Maintenance personnel have the authority to conduct comprehensive inspection, maintenance and debugging of electricity meters, including reading detailed data, setting parameters to ensure the normal operation of electricity meters, and controlling electricity meters for test operations; setting parameters means that maintenance personnel obtain the measurement results of actual electricity quantity based on standard measuring instruments, and obtain specific parameters by subtracting the actual electricity measurement results from the meter readings. If the parameter is a positive number, it means that the current electricity reading of the meter is lower than the measurement result, and the measurement value of the meter is improved by the obtained parameters. Staff permissions have the authority to read the basic data of the electricity meter for daily management and service work, including meter reading data and meter status information, but do not have the authority to set parameters and control the electricity meter. Residents can only read part of the data of their own electricity meters to understand the current electricity usage status.

[0009] The meter data acquisition module is used to monitor the data parameters of the meter in real time through various sensors. The specific acquisition process is as follows:

[0010] The monitoring period of each sensor is set to twenty-four hours, marked as the set period, and a voltage sensor is installed on each meter to collect the voltage parameters of each meter within the set period in real time to obtain the voltage parameters within the set period; a current sensor is installed on each meter to collect the current parameters of each meter within the set period in real time to obtain the current parameters within the set period; a high-definition camera is installed on the outside of the meter to collect the current appearance image of the display screen of each meter in real time to obtain the current appearance image of the display screen of the meter; a spectrum analyzer is installed on the meter to collect the current communication signal strength of each meter in real time to obtain the communication signal parameters of each meter, the output end of the data acquisition module is connected to the input end of the meter data analysis module and the meter image recognition module, the voltage parameters, current parameters and communication signal parameters are sent to the meter data analysis module, and the display screen appearance image is sent to the meter image recognition module.

[0011] The meter data analysis module analyzes the meter fault according to the parameter information sent by the meter data acquisition module. The specific acquisition process is as follows:

[0012] The output end of the meter data analysis module is connected to the input end of the fault identification and maintenance module, and the input end of the meter data analysis module is connected to the output end of the data center to analyze the acquired current parameters and voltage parameters, specifically:

[0013] S1: Set a preset current monitoring time zone, divide the preset current monitoring time zone into several current monitoring time zones, obtain current values ​​corresponding to the several current monitoring time zones, sort the obtained current values ​​from large to small, obtain the maximum current value and the minimum current value corresponding to the current monitoring time zones, subtract the minimum current value from the maximum current value to obtain the current change difference, marked as TE;

[0014] S2: Obtain the voltage change difference in the same manner as step S1, marked as TP;

[0015] S3: Calculate the average value of each current parameter to obtain the current average value, marked as TY, and calculate the average value of each voltage parameter to obtain the voltage average value, marked as TU;

[0016] S4: Calculate the average current and average voltage using the formula Get the average power value FR of the current electric meter;

[0017] S5: extract the standard monitoring time corresponding to each current parameter and each voltage parameter of the data center, marked as TS;

[0018] S6: Calculate the current change difference, voltage change difference, average power value and standard monitoring time, using the formula The total variable value ZTI of the electric meter is obtained, wherein G1, G2, G3 and G4 are preset proportional coefficients;

[0019] S7: Extract the preset total change threshold of the data center, compare the total change value of the meter with the preset total change threshold, if the total change value of the meter is greater than the preset total change threshold, it means that the current current and voltage of the meter are unstable, and generate an abnormal signal to be sent to the fault identification and maintenance module.

[0020] Analyze the communication signal strength, obtain the communication signal parameters through the meter data acquisition module, calculate the average value of the communication signal parameters to get the communication signal average value, marked as SF, take the current meter as the origin, obtain the location information of the corresponding power station according to the positioning sensor, connect the current meter location and the location information of the power station to get the signal communication distance, marked as DH, set the data size of the data packet to DC, set the transmission time of the data packet from the power station meter to the meter location, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time and the receiving time to get the data transmission time, marked as DF, extract the standard bit rate of the data center as DK, and use the formula to calculate The data transmission rate FG of the meter communication signal is obtained, and the communication signal average value, data transmission rate, signal communication distance and data transmission time are calculated using the formula The communication operation value ST is obtained, where F1, F2, F3 and F4 are preset proportional coefficients. The preset communication operation threshold of the data center is extracted, and the actual communication operation value is compared with the set communication operation threshold. If the actual communication operation value is greater than the set communication operation threshold, it means that the communication signal is good. On the contrary, it means that the current signal is abnormal. A failure signal is generated and sent to the fault identification and maintenance module.

[0021] The meter image recognition module is used to analyze the meter fault based on the acquired display screen appearance image. The specific acquisition process is as follows:

[0022] The input end of the meter image recognition module is connected to the output end of the data center, and the output end of the image recognition module is connected to the input end of the fault maintenance module. The display screen appearance image of the current meter is obtained in real time, and the obtained display screen appearance image is amplified, denoised and processed to obtain an appearance processed image. The appearance processed image is amplified several times to form an appearance pixel image, wherein the appearance pixel image is composed of several pixel grids, and the meter cracks in the appearance pixel image are set as black pixel grids. The black pixel grids of the pixel image are identified and extracted, and the area image corresponding to the black pixel grid is obtained, marked as CK, and then the corresponding appearance pixel image total area is obtained, marked as CQ, and the formula is used. The meter crack area ratio CV is obtained, the preset meter crack ratio threshold of the data center is extracted, and the actual meter crack area ratio is compared with the preset meter crack ratio threshold. If the meter crack area ratio is greater than the preset meter crack ratio threshold, a maintenance signal is generated and sent to the fault identification and maintenance module.

[0023] The fault identification and maintenance module is used to receive various signals and determine the fault type to repair each meter. The specific acquisition process is as follows:

[0024] The output end of the fault repair module is connected to the input end of the data center. The fault repair module receives the abnormal signal and sends the abnormal signal to the fault identification system. The fault identification system receives the abnormal signal and identifies it, obtains the current current load status, monitors the current change by gradually disconnecting part of the load, and determines the fault status. If the current changes, it means that the current current load consumption is quite different. A current fault signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel. If the current does not change, the line status is checked by a multimeter for identification, the line is segmented for detection, the preset resistance value of the data center is extracted, and the resistance value of each segment line is compared with the preset resistance value. If the resistance value of a segment line is less than the preset resistance value, the segment line is marked as a short-circuit state, and a short-circuit signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel for repair.

[0025] After receiving the failure signal, the high-definition camera is used to monitor whether the communication line of the corresponding electric meter is damaged and whether the power light is in normal operation. If the line is damaged and the power light is unresponsive, a line signal is generated and sent to the mobile terminal of the nearby maintenance personnel. If everything is in normal operation, a signal is sent from the power main station to the corresponding electric meter. If it cannot be received, a communication signal is generated and sent to the fault maintenance module to adjust the signal.

[0026] When a maintenance signal is received, the damaged part of the corresponding meter is obtained through a high-definition camera, and an appearance damage signal is sent to the mobile phone terminal of the corresponding maintenance personnel.

[0027] The data center is used to store and retrieve parameter information of each module.

[0028] See also Figure 2 As shown, the second aspect of the present invention provides a method for identifying an electric meter fault, and the specific steps are as follows:

[0029] Z1: Identity identification: used to confirm the user's identity and assign permissions based on the user's identity;

[0030] Z2: Electricity meter data collection: used to monitor various data parameters of the electricity meter in real time through various sensors;

[0031] Z3: Electric meter data analysis: Analyze the electric meter fault according to the current parameters, voltage parameters and communication strength parameters sent by the electric meter data acquisition module;

[0032] Z4: Electric meter image recognition: used to analyze the electric meter fault based on the acquired display screen appearance image;

[0033] Z5: Fault type identification: Accurately identify the meter fault type based on the received signals to assist maintenance decision-making;

[0034] Z6: Fault repair: quickly locate the meter fault and repair each meter fault.

[0035] Compared with the prior art, the invention has the following beneficial effects: by collecting the display screen status, communication signal strength, current parameters, voltage parameters and other non-electrical parameters as well as electrical parameters of the electric meter, the operation of the electric meter can be more comprehensively understood. Compared with relying solely on traditional electrical parameter monitoring, more potential problems can be discovered, and the accuracy of judging the status of the electric meter can be improved.

[0036] Monitoring the display screen status can promptly detect display faults and ensure that users can accurately read the meter data; monitoring the communication signal strength can ensure the reliability of data transmission and avoid data errors caused by communication problems. The fault type identification module can accurately identify the fault type of the meter based on the various parameters collected. This allows maintenance personnel to quickly locate the problem, take targeted maintenance measures, improve maintenance efficiency, and reduce losses caused by faults. When the current and voltage parameters are abnormal, combined with other parameters, it can be accurately determined whether it is an internal fault of the meter or an external line problem, avoiding blind troubleshooting. The invention can quickly identify communication faults and provide effective solutions through the fault repair module, reducing data loss and errors caused by communication faults and ensuring the normal operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0038] Figure 1 It is a principle block diagram of the present invention.

[0039] Figure 2 These are the method steps of the present invention. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0041] See also Figure 1 As shown, the present invention is a system for identifying faults in electric meters, comprising an identity recognition module, an electric meter data acquisition module, a data analysis module, an electric meter image analysis module, a fault identification and maintenance module and a data center.

[0042] The identity recognition module is used to confirm the user's identity and allocate permissions based on the user's identity. The specific acquisition process is as follows:

[0043] The output end of the identity recognition module is connected to the input end of the data center. Each user inputs personal information through the mobile phone display and sends it to the data center. The personal information includes ID card information, name, biological facial image and position information. The position information includes maintenance personnel, staff and residents. The data center receives the personal information and generates a corresponding personal set, classifies the personal set according to the position information, divides the maintenance personnel and staff into the company end and generates the corresponding company usage interface, divides the residents into the resident end and generates the corresponding resident usage interface. Each person scans the facial information through the mobile phone camera and extracts the biological facial image of the data center. The identity recognition module matches the biological facial image with the scanned facial information. If the match is successful, the corresponding usage interface is entered. If the match fails, the corresponding login interface is exited.

[0044] Permissions are assigned to users. Maintenance personnel have the authority to conduct comprehensive inspection, maintenance and debugging of electricity meters, including reading detailed data, setting parameters to ensure the normal operation of electricity meters, and controlling electricity meters for test operations; setting parameters means that maintenance personnel obtain the measurement results of actual electricity quantity based on standard measuring instruments, and obtain specific parameters by subtracting the actual electricity measurement results from the meter readings. If the parameter is a positive number, it means that the current electricity reading of the meter is lower than the measurement result, and the measurement value of the meter is improved by the obtained parameters. Staff permissions have the authority to read the basic data of the electricity meter for daily management and service work, including meter reading data and meter status information, but do not have the authority to set parameters and control the electricity meter. Residents can only read part of the data of their own electricity meters to understand the current electricity usage status.

[0045] The meter data acquisition module is used to monitor the data parameters of the meter in real time through various sensors. The specific acquisition process is as follows:

[0046] The monitoring period of each sensor is set to twenty-four hours, marked as the set period, and a voltage sensor is installed on each meter to collect the voltage parameters of each meter within the set period in real time to obtain the voltage parameters within the set period; a current sensor is installed on each meter to collect the current parameters of each meter within the set period in real time to obtain the current parameters within the set period; a high-definition camera is installed on the outside of the meter to collect the current appearance image of the display screen of each meter in real time to obtain the current appearance image of the display screen of the meter; a spectrum analyzer is installed on the meter to collect the current communication signal strength of each meter in real time to obtain the communication signal parameters of each meter, the output end of the data acquisition module is connected to the input end of the meter data analysis module and the meter image recognition module, the voltage parameters, current parameters and communication signal parameters are sent to the meter data analysis module, and the display screen appearance image is sent to the meter image recognition module.

[0047] The meter data analysis module analyzes the meter fault according to the parameter information sent by the meter data acquisition module. The specific acquisition process is as follows:

[0048] The output end of the meter data analysis module is connected to the input end of the fault identification and maintenance module, and the input end of the meter data analysis module is connected to the output end of the data center to analyze the acquired current parameters and voltage parameters, specifically:

[0049] S1: Set a preset current monitoring time zone, divide the preset current monitoring time zone into several current monitoring time zones, obtain current values ​​corresponding to the several current monitoring time zones, sort the obtained current values ​​from large to small, obtain the maximum current value and the minimum current value corresponding to the current monitoring time zones, subtract the minimum current value from the maximum current value to obtain the current change difference, marked as TE;

[0050] S2: Obtain the voltage change difference in the same manner as step S1, marked as TP;

[0051] S3: Calculate the average value of each current parameter to obtain the current average value, marked as TY, and calculate the average value of each voltage parameter to obtain the voltage average value, marked as TU;

[0052] S4: Calculate the average current and average voltage using the formula Get the average power value FR of the current electric meter;

[0053] S5: extract the standard monitoring time corresponding to each current parameter and each voltage parameter of the data center, marked as TS;

[0054] S6: Calculate the current change difference, voltage change difference, average power value and standard monitoring time, using the formula The total variable value ZTI of the electric meter is obtained, wherein G1, G2, G3 and G4 are preset proportional coefficients;

[0055] S7: Extract the preset total change threshold of the data center, compare the total change value of the meter with the preset total change threshold, if the total change value of the meter is greater than the preset total change threshold, it means that the current current and voltage of the meter are unstable, and generate an abnormal signal to be sent to the fault identification and maintenance module.

[0056] Analyze the communication signal strength, obtain the communication signal parameters through the meter data acquisition module, calculate the average value of the communication signal parameters to get the communication signal average value, marked as SF, take the current meter as the origin, obtain the location information of the corresponding power station according to the positioning sensor, connect the current meter location and the location information of the power station to get the signal communication distance, marked as DH, set the data size of the data packet to DC, set the transmission time of the data packet from the power station meter to the meter location, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time and the receiving time to get the data transmission time, marked as DF, extract the standard bit rate of the data center as DK, and use the formula to calculate The data transmission rate FG of the meter communication signal is obtained, and the communication signal average value, data transmission rate, signal communication distance and data transmission time are calculated using the formula The communication operation value ST is obtained, where F1, F2, F3 and F4 are preset proportional coefficients. The preset communication operation threshold of the data center is extracted, and the actual communication operation value is compared with the set communication operation threshold. If the actual communication operation value is greater than the set communication operation threshold, it means that the communication signal is good. On the contrary, it means that the current signal is abnormal. A failure signal is generated and sent to the fault identification and maintenance module.

[0057] The meter image recognition module is used to analyze the meter fault based on the acquired display screen appearance image. The specific acquisition process is as follows:

[0058] The input end of the meter image recognition module is connected to the output end of the data center, and the output end of the image recognition module is connected to the input end of the fault maintenance module. The display screen appearance image of the current meter is obtained in real time, and the obtained display screen appearance image is amplified, denoised and processed to obtain an appearance processed image. The appearance processed image is amplified several times to form an appearance pixel image, wherein the appearance pixel image is composed of several pixel grids, and the meter cracks in the appearance pixel image are set as black pixel grids. The black pixel grids of the pixel image are identified and extracted, and the area image corresponding to the black pixel grid is obtained, marked as CK, and then the corresponding appearance pixel image total area is obtained, marked as CQ, and the formula is used. The meter crack area ratio CV is obtained, the preset meter crack ratio threshold of the data center is extracted, and the actual meter crack area ratio is compared with the preset meter crack ratio threshold. If the meter crack area ratio is greater than the preset meter crack ratio threshold, a maintenance signal is generated and sent to the fault identification and maintenance module.

[0059] The fault identification and maintenance module is used to receive various signals and determine the fault type to repair each meter. The specific acquisition process is as follows:

[0060] The output end of the fault repair module is connected to the input end of the data center. The fault repair module receives the abnormal signal and sends the abnormal signal to the fault identification system. The fault identification system receives the abnormal signal and identifies it, obtains the current current load status, monitors the current change by gradually disconnecting part of the load, and determines the fault status. If the current changes, it means that the current current load consumption is quite different. A current fault signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel. If the current does not change, the line status is checked by a multimeter for identification, the line is segmented for detection, the preset resistance value of the data center is extracted, and the resistance value of each segment line is compared with the preset resistance value. If the resistance value of a segment line is less than the preset resistance value, the segment line is marked as a short-circuit state, and a short-circuit signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel for repair.

[0061] After receiving the failure signal, the high-definition camera is used to monitor whether the communication line of the corresponding electric meter is damaged and whether the power light is in normal operation. If the line is damaged and the power light is unresponsive, a line signal is generated and sent to the mobile terminal of the nearby maintenance personnel. If everything is in normal operation, a signal is sent from the power main station to the corresponding electric meter. If it cannot be received, a communication signal is generated and sent to the fault maintenance module to adjust the signal.

[0062] When a maintenance signal is received, the damaged part of the corresponding meter is obtained through a high-definition camera, and an appearance damage signal is sent to the mobile phone terminal of the corresponding maintenance personnel.

[0063] The data center is used to store and retrieve parameter information of each module.

[0064] See also Figure 2 As shown, the second aspect of the present invention provides a method for identifying an electric meter fault, and the specific steps are as follows:

[0065] Z1: Identity identification: used to confirm the user's identity and assign permissions based on the user's identity;

[0066] Z2: Electricity meter data collection: used to monitor various data parameters of the electricity meter in real time through various sensors;

[0067] Z3: Electric meter data analysis: Analyze the electric meter fault according to the current parameters, voltage parameters and communication strength parameters sent by the electric meter data acquisition module;

[0068] Z4: Electric meter image recognition: used to analyze the electric meter fault based on the acquired display screen appearance image;

[0069] Z5: Fault type identification: Accurately identify the meter fault type based on the received signals to assist maintenance decision-making;

[0070] Z6: Fault repair: quickly locate the meter fault and repair each meter fault.

[0071] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A fault identification system for an electric meter, comprising an identity identification module, an electric meter data acquisition module, an electric meter data analysis module, a fault identification and maintenance module and a data center, characterized in that: It also includes an electric meter image analysis module; The electric meter image recognition module is used to analyze the electric meter fault based on the acquired display screen appearance image. The input end of the electric meter image recognition module is connected to the output end of the data center, and the output end of the image recognition module is connected to the input end of the fault maintenance module. The display screen appearance image of the current electric meter is obtained in real time, and the obtained display screen appearance image is amplified, denoised and processed to obtain an appearance processed image. The appearance processed image is amplified to several times to form an appearance pixel image, wherein the appearance pixel image is composed of several pixel grids, and the electric meter cracks in the appearance pixel image are set as black pixel grids. The black pixel grids of the pixel image are identified and extracted to obtain the area image corresponding to the black pixel grid, which is marked as CK, and then the corresponding appearance pixel image total area is obtained, which is marked as CQ. The formula is used Get the meter crack area CV, extract the preset meter crack ratio threshold of the data center, compare the actual meter crack area with the preset meter crack ratio threshold, and if the meter crack area is greater than the preset meter crack ratio threshold, generate a maintenance signal and send it to the fault identification and maintenance module; The meter data analysis module analyzes the meter fault according to the parameter information sent by the meter data acquisition module. The output end of the meter data analysis module is connected to the input end of the fault identification and maintenance module. The input end of the meter data analysis module is connected to the output end of the data center to analyze the acquired current parameters and voltage parameters. Specifically: S1: Set a preset current monitoring time zone, divide the preset current monitoring time zone into several current monitoring time zones, obtain current values ​​corresponding to the several current monitoring time zones, sort the obtained current values ​​from large to small, obtain the maximum current value and the minimum current value corresponding to the current monitoring time zones, subtract the minimum current value from the maximum current value to obtain the current change difference, marked as TE; S2: Obtain the voltage change difference in the same manner as step S1, marked as TP; S3: Calculate the average value of each current parameter to obtain the current average value, marked as TY, and calculate the average value of each voltage parameter to obtain the voltage average value, marked as TU; S4: Calculate the average current and average voltage using the formula Get the average power value FR of the current electric meter; S5: extract the standard monitoring time corresponding to each current parameter and each voltage parameter of the data center, marked as TS; S6: Calculate the current change difference, voltage change difference, average power value and standard monitoring time, using the formula The total variable value ZTI of the electric meter is obtained, wherein G1, G2, G3 and G4 are preset proportional coefficients; S7: extracting the preset total change threshold of the data center, comparing the total change value of the electric meter with the preset total change threshold, and if the total change value of the electric meter is greater than the preset total change threshold, generating an abnormal signal and sending it to the fault identification and maintenance module; Analyze the communication signal strength, obtain the communication signal parameters through the meter data acquisition module, calculate the average value of the communication signal parameters to get the communication signal average value, marked as SF, take the current meter as the origin, obtain the location information of the corresponding power station according to the positioning sensor, connect the current meter location and the location information of the power station to get the signal communication distance, marked as DH, set the data size of the data packet to DC, set the transmission time of the data packet from the power station meter to the meter location, record the sending time of the data packet and cut off the receiving time of the data packet, subtract the sending time and the receiving time to get the data transmission time, marked as DF, extract the standard bit rate of the data center as DK, and use the formula to calculate The data transmission rate FG of the meter communication signal is obtained, and the communication signal average value, data transmission rate, signal communication distance and data transmission time are calculated using the formula The communication operation value ST is obtained, where F1, F2, F3 and F4 are preset proportional coefficients, the preset communication operation threshold of the data center is extracted, and the actual communication operation value is compared with the set communication operation threshold. If the actual communication operation value is less than the set communication operation threshold, a failure signal is generated and sent to the fault identification and maintenance module.

2. The fault identification system for an electric meter according to claim 1, characterized in that: The fault identification and maintenance module is used to receive various signals and determine the fault type to repair each meter. The specific process is as follows: The output end of the fault repair module is connected to the input end of the data center. The fault repair module receives the abnormal signal and sends the abnormal signal to the fault identification system. The fault identification system receives the abnormal signal and identifies it, obtains the current current load status, monitors the current change by gradually disconnecting part of the load, and determines the fault status. If the current changes, it means that the current current load consumption is quite different. A current fault signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel. If the current does not change, the line status is checked by a multimeter for identification, the line is segmented for detection, the preset resistance value of the data center is extracted, and the resistance value of each segment line is compared with the preset resistance value. If the resistance value of a segment line is less than the preset resistance value, the segment line is marked as a short circuit state, and a short circuit signal is generated and sent to the mobile phone terminal of the nearby maintenance personnel for repair. Upon receiving the failure signal, the high-definition camera is used to monitor whether the communication line of the corresponding electric meter is damaged and whether the power light is in normal operation. If the line is damaged and the power light is unresponsive, a line signal is generated and sent to the mobile terminal of the nearby maintenance personnel. If everything is in normal operation, a signal is sent from the power main station to the corresponding electric meter. If it cannot be received, a communication signal is generated and sent to the fault maintenance module to adjust the signal. When a maintenance signal is received, the damaged part of the corresponding meter is obtained through a high-definition camera, and an appearance damage signal is sent to the mobile phone terminal of the corresponding maintenance personnel.

3. The fault identification system for an electric meter according to claim 1, characterized in that: The identity recognition module is used to confirm the user's identity and allocate permissions based on the user's identity. The specific acquisition process is as follows: The output end of the identity recognition module is connected to the input end of the data center. Each user inputs personal information through the mobile phone display screen and sends it to the data center. The personal information includes ID card information, name, biological facial image and position information. The position information includes maintenance personnel, staff and residents. The data center receives the personal information and generates a corresponding personal set. The personal set is classified according to the position information, and the maintenance personnel and staff are divided into the company end and the corresponding company use interface is generated. The residents are divided into the resident end and the corresponding resident use interface is generated. Each person scans the facial information through the mobile phone camera and extracts the biological facial image of the data center. The identity recognition module matches the biological facial image with the scanned facial information. If the match is successful, the corresponding use interface is entered. If the match fails, the corresponding login interface is exited. Permissions are assigned to users. Maintenance personnel have the authority to conduct comprehensive inspection, maintenance and debugging of electricity meters, including reading detailed data, setting parameters to ensure the normal operation of electricity meters, and controlling electricity meters for test operations. Staff members have the authority to read basic data of electricity meters for daily management and service work, including meter reading data and meter status information, but do not have the authority to set parameters and control electricity meters. Residents can only read part of the data of their own meters to understand the current electricity usage status.

4. The fault identification system for an electric meter according to claim 1, characterized in that: The meter data acquisition module is used to monitor the data parameters of the meter in real time through various sensors. The specific process is as follows: A voltage sensor is installed on each electric meter to collect the voltage parameters of each electric meter within a set time period in real time, and obtain the voltage parameters within the set time period; a current sensor is installed on each electric meter to collect the current parameters of each electric meter within a set time period in real time, and obtain the current parameters within the set time period; a high-definition camera is installed on the outside of the electric meter to collect the current appearance image of the display screen of each electric meter in real time, and obtain the current appearance image of the display screen of the electric meter; a spectrum analyzer is installed on the electric meter to collect the current communication signal strength of each electric meter in real time, and obtain the communication signal parameters of each electric meter. The output end of the data acquisition module is connected to the input end of the electric meter data analysis module and the electric meter image recognition module, and the obtained voltage parameters, current parameters and communication signal parameters are sent to the electric meter data analysis module, and the display screen appearance image is sent to the electric meter image recognition module.

5. A fault identification method for an electric meter, characterized in that: The fault identification system for an electric meter as described in any one of claims 1 to 4 comprises the following specific steps: Z1: used to confirm the user identity and assign permissions based on the user identity; Z2: used to monitor various data parameters of the electric meter in real time through various sensors; Z3: Analyze the meter fault according to the current parameter, voltage parameter and communication strength parameter sent by the meter data acquisition module; Z4: used to analyze the meter fault based on the acquired display screen appearance image; Z5: Accurately identify the type of meter fault based on the received signals to assist maintenance decision-making; Z6: Quickly locate the meter fault and repair each meter fault.

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