Fault auxiliary analysis system and method suitable for intelligent electric energy meter

Abstract

The invention provides a fault auxiliary analysis system and method suitable for an intelligent electric energy meter, and relates to the technical field of intelligent power grids, and the fault auxiliary analysis system comprises a static analysis module which is used for obtaining a real-time resting image when an electric energy meter terminal is in a resting state; performing resting fault analysis on the real-time resting image to obtain a first analysis result; the dynamic analysis module is used for performing operation control on the electric energy meter terminal by using the dynamic simulation parameters to obtain dynamic feedback data of the electric energy meter terminal; performing dynamic analysis on the dynamic feedback data to obtain a second analysis result; and the result output module is used for converting an adjustable result in the first analysis result and the second analysis result into an adjustment parameter and adjusting the electric energy meter terminal. According to the fault auxiliary analysis system and method provided by the invention, the fault prediction analysis of the electric energy meter terminal can be effectively realized, so that the electric energy meter terminal in a high-risk use state can be maintained and replaced in time.

Description

Technical Field

[0001] The present invention relates to the technical field of smart grids, and particularly to a fault auxiliary analysis system and method applicable to smart electricity meters. Background Art

[0002] A smart electricity meter is one of the basic devices for data collection in a smart grid (especially a smart distribution grid), undertaking the tasks of collecting, measuring, and transmitting original electricity data, and serving as the basis for information integration, analysis optimization, and information display. In addition to the basic electricity consumption measurement function of a traditional electricity meter, in order to adapt to the smart grid and the use of new energy, a smart electricity meter also has intelligent functions such as two-way multi-rate measurement function, user-side control function, two-way data communication function with multiple data transmission modes, and anti-stealing electricity function.

[0003] During the use of existing electricity meter terminals, after the electricity meter is installed, it is threatened by faults due to the influence of the surrounding environment, such as environmental corrosion, loose wiring, position movement, or electricity meter tilt. Moreover, due to small inaccuracies in electricity meter pulses, tripping, alarms, etc., it will also gradually pose a threat of faults to the electricity meter. However, these situations have not been noticed during the use of electricity meter terminals. Therefore, it brings many uncontrollable fault risks to the use of electricity meter terminals and is not conducive to the timely replacement and maintenance of electricity meter terminals. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a fault auxiliary analysis system and method applicable to smart electricity meters, which are used to solve the problems in the prior art that during the use of electricity meter terminals, after the electricity meter is installed, it is threatened by faults due to the influence of the surrounding environment, such as environmental corrosion, loose wiring, position movement, or electricity meter tilt, and due to small inaccuracies in electricity meter pulses, tripping, alarms, etc., it will also gradually pose a threat of faults to the electricity meter. However, these situations have not been noticed during the use of electricity meter terminals. Therefore, it brings many uncontrollable fault risks to the use of electricity meter terminals and is not conducive to the timely replacement and maintenance of electricity meter terminals.

[0005] To achieve the above and other related objectives, the present invention provides a fault auxiliary analysis system applicable to intelligent electricity meters, including: a static analysis module for acquiring a real-time resting image when the electricity meter terminal is in a resting state; performing resting fault analysis on the real-time resting image to obtain a first analysis result; a dynamic analysis module for using dynamic simulation parameters to control the operation of the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal; performing dynamic analysis on the dynamic feedback data to obtain a second analysis result; and a result output module for converting the adjustable results in the first analysis result and the second analysis result into calibration parameters to adjust the electricity meter terminal; converting the uncalibrated results in the first analysis result and the second analysis result into fault scores and outputting the fault results of the electricity meter terminal.

[0006] In an embodiment of the present invention, the static analysis module performs resting fault analysis on the real-time resting image to obtain a first analysis result, including: a first acquisition module for acquiring a resting reference image of the electricity meter terminal after initial verification; and a comparison module for comparing the resting reference image with the real-time resting image to obtain a first analysis result.

[0007] In an embodiment of the present invention, the comparison module includes: a scanning module for scanning the real-time resting image to obtain all resting analysis regions in the real-time resting image ; a first analysis module for performing comparative analysis on each reference region corresponding to the resting analysis region and the resting reference image to obtain a first trend degree of each resting analysis region developing in the direction of generating a fault cause ; and a first output module for obtaining a resting fault weight as the first analysis result according to the first cause weight of generating a fault corresponding to each resting analysis region . In an embodiment of the present invention, the first analysis module includes: a first offset comparison module for comparing each reference region corresponding to the resting analysis region

[0008] with the resting reference image to obtain a resting offset of the resting analysis region relative to each reference region ; and a first trend calculation module for obtaining a first trend degree of developing in the direction of generating a fault cause according to the maximum resting offset corresponding to the fault cause formed by each resting analysis region , where . . ​​​​

[0009] In an embodiment of the present invention, the dynamic analysis module uses dynamic simulation parameters to control the operation of the electricity meter terminal, and obtains dynamic feedback data of the electricity meter terminal, including: a second acquisition module, configured to acquire various simulation types for controlling the operation of the electricity meter terminal corresponding dynamic simulation parameter groups ; and a simulation control module, configured to sequentially input the dynamic simulation parameter groups into the electricity meter terminal to control the operation of the electricity meter terminal, so as to obtain dynamic video data of the electricity meter terminal as the dynamic feedback data.

[0010] In an embodiment of the present invention, the dynamic analysis module performs dynamic analysis on the dynamic feedback data to obtain a second analysis result, including: a second analysis module, configured to analyze the dynamic states of the respective dynamic analysis regions of each dynamic video data according to the dynamic analysis regions corresponding to the dynamic simulation parameter groups to obtain a second trend degree of each dynamic video data towards the development direction of generating a fault cause ; and a second output module, configured to obtain a dynamic fault weight as the second analysis result according to the second cause weight of generating a fault corresponding to each dynamic video data .

[0011] In an embodiment of the present invention, the second analysis module includes: a second offset comparison module, configured to compare the dynamic states of the respective dynamic analysis regions of each dynamic video data with the dynamic states of the respective reference dynamic regions corresponding to the dynamic reference video, so as to obtain the dynamic offset of the respective dynamic analysis regions of the dynamic video data relative to the respective reference dynamic regions of the dynamic reference video ; and a second trend calculation module, configured to obtain a second trend degree of development towards the generation of a fault cause according to the maximum dynamic offset corresponding to the fault cause formed by the respective dynamic analysis regions of each dynamic video data wherein

[0012] ​​​​​​​​​​​​In an embodiment of the present invention, the result output module converts the adjustable results in the first analysis result and the second analysis result into calibration parameters to adjust the electricity meter terminal, including: an extraction module for extracting the static analysis area corresponding to the first analysis result that can be used for on-site calibration of the electricity meter terminal , and the dynamic analysis area corresponding to the second analysis result that can be used for on-site calibration of the electricity meter terminal ; and an adjustment module for adjusting the electricity meter terminal according to the static analysis area and the dynamic analysis area in accordance with the set rules.

[0013] In an embodiment of the present invention, the result output module converts the uncalibrated results in the first analysis result and the second analysis result into fault scores and outputs the fault results of the electricity meter terminal, including: a first trimming calculation module for obtaining the static correction weight corresponding to the static analysis area after the adjustment is completed to obtain the total static correction weight ; a first adjustment calculation module for calculating the first adjustment weight according to the static fault weight corresponding to the first analysis result ; a second trimming calculation module for obtaining the dynamic correction weight corresponding to the dynamic analysis area after the adjustment is completed to obtain the total dynamic correction weight ; a second adjustment calculation module for calculating the second adjustment weight according to the dynamic fault weight corresponding to the second analysis result ; a fault result module for obtaining the fault score combining the first analysis result and the second analysis result according to the first weight factor corresponding to the first analysis result and the second weight factor corresponding to the second analysis result ; and a result monitoring module for monitoring the fault score . When the fault score is less than the score threshold , the output fault result is that the analysis passes. When the fault score is greater than the score threshold , the output fault result is that the analysis fails. is greater than the score threshold and outputs the fault result as analysis failed.

[0014] To achieve the above and other related objectives, the present invention also provides a fault auxiliary analysis method applicable to intelligent electricity meters, including the following steps: obtaining a real-time resting image of the electricity meter terminal when it is in a resting state through a static analysis module; performing a resting fault analysis on the real-time resting image to obtain a first analysis result; using dynamic simulation parameters through a dynamic analysis module to control the operation of the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal; performing a dynamic analysis on the dynamic feedback data to obtain a second analysis result; converting the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters through a result output module to adjust the electricity meter terminal; converting the uncalibrated results in the first analysis result and the second analysis result into fault scores and outputting the fault results of the electricity meter terminal.

[0015] As described above, the fault auxiliary analysis system and method applicable to intelligent electricity meters of the present invention have the following beneficial effects: by performing a resting fault analysis based on the real-time resting image of the electricity meter terminal, a resting fault can be determined as the first analysis result, and then the electricity meter terminal is simulated and controlled to operate through specific dynamic simulation parameters to obtain dynamic feedback data, so as to further analyze the dynamic feedback data to obtain a dynamic fault as the second analysis result. Further, after some adjustable calibration results are completed, the first analysis result and the second analysis result are combined and evaluated to obtain a fault score to determine whether the risk of the current electricity meter terminal is controllable, so as to ensure that the electricity meter terminal can work under a controllable risk state and reduce the occurrence of situations such as inaccurate electricity meter data caused by electricity meter failures. Description of the Drawings

[0016] Figure 1 It shows the system architecture diagram of the fault auxiliary analysis system of the present invention.

[0017] Figure 2 It shows the flow chart of the fault auxiliary analysis of the present invention.

[0018] Description of Component Labels Static analysis module 10; Dynamic analysis module 20; Result output module 30. Detailed Embodiment

[0019] Please refer to Figure 1, in an embodiment of the present invention, the fault auxiliary analysis system applicable to an intelligent electricity meter provided by the present invention includes: a static analysis module 10, configured to obtain a real-time static image when the electricity meter terminal is in a resting state; perform static fault analysis on the real-time static image to obtain a first analysis result; a dynamic analysis module 20, configured to use dynamic simulation parameters to control the operation of the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal; perform dynamic analysis on the dynamic feedback data to obtain a second analysis result; and a result output module 30, configured to convert the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters to adjust the electricity meter terminal; convert the uncalibrated results in the first analysis result and the second analysis result into fault scores and output the fault results of the electricity meter terminal.

[0020] In this embodiment, during the use of the electricity meter terminal, the electricity meter terminal may easily malfunction due to some reasons. These reasons mainly include static factors when the electricity meter is in a resting state and dynamic factors when the electricity meter is in a working state. Among them, the static factors can be, for example, the wiring of the electricity meter, the placement direction of the electricity meter, the degree of corrosion of the electricity meter, etc.; the dynamic factors can be the response conditions of the electricity meter pulse indicator light, the trip indicator light, the alarm indicator light, etc. Through the static analysis module 10, the real-time resting image of the electricity meter terminal in the resting state can be obtained. After obtaining the real-time resting image, the risk of resting failure may occur by analyzing the real-time resting image to obtain a first analysis result. Then, through the dynamic analysis module 20, the operation control of the electricity meter terminal can be realized by using dynamic simulation parameters to simulate the operation state, and the dynamic return data corresponding to the dynamic response conditions of the electricity meter pulse indicator light, the trip indicator light, the alarm indicator light, etc. can be obtained. Then, by further analyzing the dynamic return data for the risk of dynamic failure, a second analysis result is obtained. Finally, through the result output module 30, the adjustable calibration results in the first analysis result and the second analysis result obtained by the analysis are output corresponding calibration parameters, and the electricity meter terminal is adjusted according to the calibration parameters. Specifically, the electricity meter terminal can be adjusted by an automatic adjustment method. For example, when the electricity meter pulse indicator light is inaccurate, the electricity meter pulse indicator light can be automatically calibrated; when the placement direction of the electricity meter deviates, the placement direction of the electricity meter can be adjusted manually. After the adjustment is completed, and re-analyzed according to the newly collected real-time resting image. After determining that the adjustment is completed, a signal indicating that the adjustment of the electricity meter terminal is completed is obtained. Finally, after the adjustment of the electricity meter terminal is completed, the adjusted first analysis result and the second analysis result are removed, and the uncalibrated results in the first analysis result and the second analysis result are obtained, and the uncalibrated results are further converted into failure scores to output the failure results of the electricity meter terminal. Thus, it is possible to predict the failure results that the electricity meter may occur next through the finally obtained failure scores, which include the risk situations of failure in both the resting state and the dynamic state, so as to facilitate the selection of whether to repair or replace the electricity meter according to the failure results to ensure the safe use of the electricity meter terminal.

[0021] In an embodiment of the present invention, the static analysis module 10 performs a static failure analysis on the real-time resting image to obtain a first analysis result, including: a first acquisition module for acquiring a resting reference image of the electricity meter terminal after initial verification; and a comparison module for comparing the resting reference image with the real-time resting image to obtain a first analysis result.

[0022] In this embodiment, during the process of static fault analysis by the static analysis module 10, both the acquired real-time static image and the static reference image can be obtained by the monitoring personnel manually uploading them to the power consumption acquisition terminal. Of course, it can also be obtained by using on-site shooting tools to take pictures of the electricity meter terminal on-site and automatically uploading them to the power consumption acquisition terminal. Then, the first acquisition module further acquires the static reference image of the electricity meter terminal stored historically in the power consumption acquisition terminal. This static reference image is the corresponding reference image information after the electricity meter terminal has completed detection, calibration, and verification in the past. The comparison module then compares the static reference image with the real-time static image, and can further determine the degree of deviation of the real-time static image relative to the static reference image. Then, according to the degree of deviation, the first analysis result corresponding to the static fault analysis is obtained through conversion.

[0023] In an embodiment of the present invention, the comparison module includes: a scanning module for scanning the real-time static image to obtain all static analysis regions in the real-time static image ; a first analysis module for comparing and analyzing each static analysis region with each reference region corresponding to the static reference image to obtain the first trend degree of each static analysis region developing towards the generation of fault causes ; and a first output module for obtaining the static fault weight according to the first cause weight of generating a fault corresponding to each static analysis region as the first analysis result.

[0024] In this embodiment, when the comparison module compares the static reference image with the real-time static image, the scanning module first analyzes the real-time static image using a pre-trained region analysis model, etc., and all static analysis regions in the real-time static image can be obtained . Then, the first analysis module further compares and analyzes according to the obtained static analysis regions with each reference region in the static reference image to determine the deviation of the static analysis regions relative to each reference region . Moreover, this deviation is the first trend degree of each static analysis region developing towards the generation of fault causes . Finally, the first output module, according to the preset first cause weight of generating a fault corresponding to each static analysis region , for each static analysis region corresponding to the first trend degree of developing towards the generation of fault causes ​ Perform comprehensive processing to obtain the resting fault weight and use the resting fault weight as the first analysis result, which is an important factor for evaluating the risk of the electricity meter malfunctioning, that is, the fault score

[0025] In an embodiment of the present invention, the first analysis module includes: a first offset comparison module for comparing the resting analysis area with each reference area corresponding to the resting reference image to obtain the resting offset of the resting analysis area relative to each reference area ; and a first trend calculation module for forming the maximum resting offset corresponding to the fault cause according to each resting analysis area to obtain the first trend degree developing in the direction of generating the fault cause, where

[0026] In this embodiment, when the first analysis module compares and analyzes the resting analysis area with each reference area corresponding to the resting reference image , by using the first offset comparison module to compare the resting analysis area with each reference area corresponding to the resting reference image , the resting offset of the device characteristics of the resting analysis area relative to the device characteristics corresponding to each reference area can be determined . For example, during the use of the electricity meter terminal, there will be a certain degree of position offset relative to the reference electricity meter after the electricity meter is detected, such as a certain tilt or movement relative to the electricity meter box. The resting offset when the electricity meter box tilts or moves can be calculated by the first offset comparison module . Through the first trend calculation module, it is also possible to form the maximum resting offset corresponding to the fault cause (that is, the allowable risk in the resting state of the electricity meter), and calculate the first trend degree developing in the direction of generating the fault cause, that is, the ratio between the resting offset and the corresponding maximum resting offset , that is, the first trend degree

[0027] ​​​​​In an embodiment of the present invention, the dynamic analysis module 20 uses dynamic simulation parameters to control the operation of the electricity meter terminal, and obtains dynamic feedback data of the electricity meter terminal, including: a second acquisition module, configured to acquire various simulation types for controlling the operation of the electricity meter terminal corresponding dynamic simulation parameter groups ; and a simulation control module, configured to sequentially input the dynamic simulation parameter groups into the electricity meter terminal to control the operation of the electricity meter terminal, so as to obtain dynamic video data of the electricity meter terminal as dynamic feedback data

[0028] In this embodiment, compared with the static analysis module 10 performing static fault analysis on the electricity meter terminal, the dynamic analysis module 20 can also perform dynamic analysis on the electricity meter terminal. Before performing dynamic analysis, the second acquisition module can first obtain, according to the simulation type to be analyzed , the dynamic simulation parameter groups for controlling the operation of the electricity meter terminal , and then the simulation control module inputs them into the electricity meter terminal according to each dynamic simulation parameter group to control the operation of the electricity meter terminal, so as to obtain dynamic video data of the electricity meter terminal as dynamic feedback data. It should be noted that each dynamic simulation parameter group corresponds to the adjustment of multiple parameters to achieve the simulation control purpose of the corresponding simulation type , where the simulation type can be the control simulation of the electricity meter pulse indicator light, trip indicator light, alarm indicator light, etc. The dynamic video data When acquiring, it can be obtained by the monitoring personnel manually shooting and uploading it to the power consumption acquisition terminal. Of course, it can also be obtained by using on-site shooting tools to shoot the electricity meter terminal on-site and automatically uploading it to the power consumption acquisition terminal

[0029] In an embodiment of the present invention, the dynamic analysis module 20 performs dynamic analysis on the dynamic feedback data to obtain a second analysis result, including: a second analysis module, configured to analyze the dynamic states of the respective dynamic analysis areas of each dynamic video data according to the dynamic analysis area corresponding to the dynamic simulation parameter group to obtain a second trend degree of each dynamic video data towards the direction of generating a fault cause ; and a second output module, configured to obtain a dynamic fault weight according to the second cause weight of generating a fault corresponding to each dynamic video data ​​​As the second analysis result.

[0030] In this embodiment, by means of the dynamic simulation parameter group input into the electric energy meter terminal, the operation of the electric energy meter terminal is controlled to obtain the dynamic video data of the electric energy meter terminal After that, the second analysis module can be used to implement the dynamic video data in the corresponding dynamic analysis area for dynamic state analysis, so as to obtain each dynamic video data towards the second trend degree of generating fault causes . For example, when performing dynamic analysis on the electric energy meter pulse indicator light, by inputting the corresponding dynamic simulation parameter group according to the dynamic analysis of the electric energy meter pulse indicator light into the electric energy meter terminal for simulation to obtain the pulsation condition of the electric energy meter pulse indicator light, according to the dynamic simulation parameter group corresponding dynamic video data in the dynamic analysis area , the second trend degree of its development towards generating fault causes can be obtained . Further, according to the second cause weight of the generated fault by the second output module , the dynamic fault weight can be further predicted as the second analysis result, so as to combine with the resting fault weight that is, the first analysis result, to evaluate the risk situation of the electric energy meter failing, that is, the fault score.

[0031] It should be noted that when using the dynamic simulation parameter group for control, an internal resistor can be installed in the electric energy meter terminal as needed to achieve, for example, the analysis of the pulsation condition of the electric energy meter pulse indicator light, etc. Of course, it can also be the internal resistor existing in the electric energy meter terminal itself for working control to perform relevant analysis.

[0032] In an embodiment of the present invention, the second analysis module includes: a second offset comparison module for comparing the dynamic states of the respective dynamic analysis areas of each dynamic video data with the dynamic states of the respective reference dynamic areas corresponding to the dynamic reference video to obtain the dynamic offset of the respective dynamic analysis areas of the dynamic video data relative to the respective reference dynamic areas of the dynamic reference video ; and a second trend calculation module for calculating according to the respective dynamic analysis areas of each dynamic video data relative to the respective reference dynamic areas of the dynamic reference video ; and a second trend calculation module for calculating according to the respective dynamic analysis areas of each dynamic video data ; and a second trend calculation module for calculating according to the respective dynamic analysis areas of each dynamic video data the respective dynamic analysis areas Form the maximum dynamic offset corresponding to the fault cause , and obtain the second trend degree of development in the direction of generating the fault cause , where .

[0033] In this embodiment, during the process of calculating the second trend degree , the second offset comparison module can be used to compare the dynamic states of each dynamic analysis area of each dynamic video data with the dynamic states of each reference dynamic area corresponding to the dynamic reference video , so as to obtain the dynamic offset of each dynamic analysis area of the dynamic video data relative to each reference dynamic area of the dynamic reference video , for example, when performing dynamic analysis on the electric energy meter pulse indicator light, by inputting the dynamic simulation parameter group corresponding to the dynamic analysis of the electric energy meter pulse indicator light into the electric energy meter terminal for simulation to obtain the pulsation condition of the electric energy meter pulse indicator light, and comparing the pulsation frequency of the dynamic analysis area corresponding to the dynamic simulation parameter group with the pulsation frequency of each reference dynamic area of the dynamic reference video , the dynamic offset of the pulsation frequency of the dynamic analysis area can be obtained. When processed by the second trend calculation module, it will form the maximum dynamic offset corresponding to the fault cause according to each dynamic analysis area of each dynamic video data , and obtain the second trend degree of development in the direction of generating the fault cause , where . That is, after obtaining the dynamic offset , the second trend calculation module can obtain the second trend degree of the electric energy meter pulse indicator light developing in the direction of generating the fault cause according to the dynamic offset of the electric energy meter pulse indicator light , combined with its corresponding maximum dynamic offset , that is, the second trend degree . , and obtain the second trend degree of development in the direction of generating the fault cause , where . That is, after obtaining the dynamic offset , the second trend calculation module can obtain the second trend degree of the electric energy meter pulse indicator light developing in the direction of generating the fault cause according to the dynamic offset of the electric energy meter pulse indicator light , combined with its corresponding maximum dynamic offset , that is, the second trend degree , that is, the second trend degree .

[0034] In an embodiment of the present invention, the result output module 30 converts the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters to adjust the electric energy meter terminal, including: an extraction module, which is used to extract the static analysis area corresponding to the first analysis result that can be used for on-site calibration of the electric energy meter terminal , and the dynamic analysis area corresponding to the second analysis result that can perform on-site calibration of the electricity meter terminal ; and an adjustment module for converting the rest analysis area and the dynamic analysis area to adjust the electricity meter terminal according to the set rules.

[0035] In this embodiment, after obtaining the first analysis result and the second analysis result, the extraction module can be used to extract the rest analysis area in the first analysis result that can perform on-site calibration of the electricity meter terminal , and extract the dynamic analysis area in the second analysis result that can perform on-site calibration of the electricity meter terminal . After obtaining the rest analysis area and the dynamic analysis area , the adjustment module adjusts the electricity meter terminal according to the set rules. Specifically, during adjustment, the electricity meter terminal can be directly adjusted according to the software calibration method. For example, when the pulsation state of the electricity meter pulse indicator is inaccurate, intelligent adjustment can be directly performed. Of course, for example, when the electricity meter terminal is tilted or the like, it can be manually adjusted by the staff on-site. And there are also some situations that cannot be adjusted. For example, when the electricity meter terminal is corroded or the like, it cannot be processed and will be directly used for the conversion of the fault score.

[0036] In an embodiment of the present invention, the result output module 30 converts the uncalibrated results in the first analysis result and the second analysis result into fault scores and outputs the fault results of the electricity meter terminal, including: a first trimming calculation module for obtaining the rest correction weight corresponding to the rest analysis area after adjustment is completed, to obtain the total rest correction weight ; a first adjustment calculation module for calculating the first adjustment weight according to the rest fault weight corresponding to the first analysis result ; a second trimming calculation module for obtaining the dynamic correction weight corresponding to the dynamic analysis area after adjustment is completed, to obtain the total dynamic correction weight ; a second adjustment calculation module for calculating the second adjustment weight according to the dynamic fault weight corresponding to the second analysis result ; a fault result module for obtaining the fault score combining the first analysis result and the second analysis result according to the first weight factor corresponding to the first analysis result and the second weight factor corresponding to the second analysis result and the second weight factor corresponding to the second analysis result, to obtain the fault score combining the first analysis result and the second analysis result ; and a result monitoring module for monitoring the fault score for fault monitoring. When the fault score is less than the score threshold , the output fault result is that the analysis passes. When the fault score is greater than the score threshold , the output fault result is that the analysis fails.

[0037] In this embodiment, in the process of converting the uncalibrated results in the first analysis result and the second analysis result into fault scores through the result output module 30, the first trimming calculation module can be used to process the resting analysis area , that is, to obtain the corresponding resting correction weight of the resting analysis area that has been adjusted in the resting fault weight , and further sum to obtain the total resting correction weight . Specifically, the calculation of each resting correction weight is the same as the calculation of the resting fault weight , that is, each resting correction weight is the reduction value of the corresponding first trend degree of the resting analysis area ( ) after adjustment and the calculation with the corresponding first inducement weight . After obtaining the total resting correction weight , the first adjustment calculation module then calculates the difference between the resting fault weight corresponding to the first analysis result and the total resting correction weight to obtain the first adjustment weight . Similarly, the method for the second adjustment calculation module to calculate the dynamic correction weight is the same as that of the dynamic fault weight , which will not be elaborated here. After obtaining the total dynamic correction weight through the second trimming calculation module, the second adjustment calculation module then calculates the difference between the dynamic fault weight corresponding to the second analysis result and the total dynamic correction weight to obtain the second adjustment weight . Then, after obtaining the first adjustment weight and the second adjustment weight , combined with the first weight factor corresponding to the first analysis result and the second weight factor corresponding to the second analysis result, the fault score after their combination can be further calculated, so as to realize through the fault score To evaluate the risk status of the current electricity meter in the resting state and the dynamic state. Specifically, through the result monitoring module, the fault score can be monitored for faults. When the fault score is less than the score threshold , the output fault result is that the analysis passes, indicating that the risk of the current electricity meter terminal is within the controllable range. And when the fault score is greater than the score threshold , the output fault result is that the analysis fails, indicating that the risk of the current electricity meter terminal is uncontrollable and the electricity meter needs to be repaired or replaced.

[0038] As Figure 2 shown, the present invention also provides a fault-assisted analysis method applicable to an intelligent electricity meter, including the following steps: obtaining a real-time resting image of the electricity meter terminal in the resting state through the static analysis module 10; performing a resting fault analysis on the real-time resting image to obtain a first analysis result; using the dynamic simulation parameters through the dynamic analysis module 20 to perform an operation control on the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal; performing a dynamic analysis on the dynamic feedback data to obtain a second analysis result; converting the adjustable results in the first analysis result and the second analysis result into calibration parameters through the result output module 30 to adjust the electricity meter terminal; converting the uncalibrated results in the first analysis result and the second analysis result into a fault score, and outputting the fault result of the electricity meter terminal.

[0039] In summary, the fault-assisted analysis system and method applicable to an intelligent electricity meter disclosed in the present invention can determine a resting fault as the first analysis result by performing a resting fault analysis on the electricity meter terminal based on a real-time resting image, and then perform a simulation control operation on the electricity meter terminal through specific dynamic simulation parameters to obtain dynamic feedback data, so as to further analyze the dynamic feedback data to obtain a dynamic fault as the second analysis result. Further, after completing the calibration of some adjustable results, the first analysis result and the second analysis result are combined and evaluated to obtain a fault score to determine whether the risk of the current electricity meter terminal is controllable, so as to ensure that the electricity meter terminal can work in a state where the risk is controllable and reduce the occurrence of situations such as inaccurate electricity meter data caused by electricity meter failures. Therefore, the present invention effectively overcomes various disadvantages in the prior art and has high industrial utilization value.

[0040] The above embodiments are only illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A fault auxiliary analysis system applicable to intelligent electricity meters, characterized in that, Including: A static analysis module, configured to obtain a real-time resting image of the electricity meter terminal when it is in a resting state; Perform a resting fault analysis on the real-time resting image to obtain a first analysis result; A dynamic analysis module, configured to use dynamic simulation parameters to perform operation control on the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal; perform a dynamic analysis on the dynamic feedback data to obtain a second analysis result; And A result output module, configured to convert the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters to adjust the electricity meter terminal; Convert the uncalibrated results in the first analysis result and the second analysis result into fault scores and output the fault results of the electricity meter terminal.

2. The fault auxiliary analysis system applicable to an intelligent electricity meter according to claim 1, wherein: The static analysis module performs a resting fault analysis on the real-time resting image to obtain a first analysis result, including: A first acquisition module, configured to acquire a resting reference image of the electricity meter terminal after initial verification; and A comparison module, configured to compare the resting reference image with the real-time resting image to obtain the first analysis result.

3. The fault auxiliary analysis system applicable to an intelligent electricity meter according to claim 2, characterized in that: The comparison module includes: A scanning module, configured to scan the real-time resting image to obtain all resting analysis regions in the real-time resting image ; A first analysis module for comparing and analyzing each reference region corresponding to the resting analysis region with the reference image of the resting state, so as to obtain a first trend degree of each resting analysis region towards the direction of generating a fault cause; and and A first output module, configured to generate a first inducement weight of a fault corresponding to each of the resting analysis regions, and obtain a resting fault weight as the first analysis result. ​ 4. The fault auxiliary analysis system applicable to an intelligent electric energy meter according to claim 3, characterized in that: The first analysis module includes: The first offset comparison module is configured to compare the resting analysis region with each reference region corresponding to the resting reference image to obtain the resting offset of the resting analysis region relative to each of the reference regions ; and ; and The first trend calculation module is used to form the maximum resting offset corresponding to the fault cause based on each of the resting analysis regions to obtain the first trend degree of development in the direction of generating the fault cause , where .​ 5. The fault auxiliary analysis system applicable to the smart electricity meter according to claim 1, characterized in that: The dynamic analysis module uses dynamic simulation parameters to perform operation control on the electricity meter terminal to obtain dynamic feedback data of the electricity meter terminal, including: A second acquisition module, configured to acquire various analog types for controlling the operation of the electric energy meter terminal corresponding dynamic analog parameter groups ; and The analog control module is configured to sequentially input the dynamic analog parameter group into the electric energy meter terminal to perform operation control on the electric energy meter terminal, so as to obtain the dynamic video data of the electric energy meter terminal as the dynamic feedback data.

6. The fault auxiliary analysis system applicable to the smart electricity meter according to claim 5, wherein: The dynamic analysis module performs a dynamic analysis on the dynamic feedback data to obtain a second analysis result, including: A second analysis module, configured to, according to the dynamic simulation parameter group corresponding to the dynamic analysis area, perform analysis on each of the dynamic video data in each of the dynamic analysis areas to analyze the dynamic state of each of the dynamic analysis areas, and obtain a second trend degree of each of the dynamic video data towards the direction of generating a fault cause; and and A second output module, configured to generate a second incentive weight for a fault corresponding to each of the dynamic video data to obtain a dynamic fault weight as the second analysis result ​ 7. The fault auxiliary analysis system applicable to an intelligent electricity meter according to claim 6, characterized in that: The second analysis module includes: A second offset comparison module, configured to compare the dynamic states of the respective dynamic analysis regions of each of the dynamic video data with the dynamic states of the respective reference dynamic regions corresponding to the reference dynamic video to obtain the dynamic offsets of the respective dynamic analysis regions of the dynamic video data relative to the respective reference dynamic regions of the reference dynamic video ; and ; and​​ The second trend calculation module is configured to form a maximum dynamic offset corresponding to a fault cause based on each of the dynamic video data of each of the dynamic analysis regions to obtain a second trend degree that develops in the direction of generating the fault cause , where . .

8. The fault auxiliary analysis system applicable to an intelligent electricity meter according to claim 1, characterized in that: The result output module converts the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters to adjust the electricity meter terminal, including: An extraction module, configured to extract a static analysis area corresponding to the first analysis result and capable of performing on-site calibration of the electric energy meter terminal , and a dynamic analysis area corresponding to the second analysis result and capable of performing on-site calibration of the electric energy meter terminal ; and Adjustment module for adjusting the electricity meter terminal according to a set rule for the resting analysis area and the dynamic analysis area ​ 9. The fault auxiliary analysis system applicable to an intelligent electricity meter according to claim 8, characterized in that: The result output module converts the uncalibrated results in the first analysis result and the second analysis result into fault scores and outputs the fault results of the electricity meter terminal, including: The first trimming calculation module is used to obtain the resting correction weight corresponding to after the adjustment is completed to obtain the total resting correction weight ; The first adjustment calculation module is configured to calculate a first adjustment weight according to the resting fault weight corresponding to the first analysis result , and obtain a first adjustment weight ; The second trimming calculation module is used to obtain the dynamic correction weight corresponding after the adjustment to obtain the total dynamic correction weight ; The second adjustment calculation module is used to calculate a second adjustment weight according to the resting fault weight corresponding to the second analysis result , and obtain a second adjustment weight ; A fault result module for obtaining a fault score combining the first analysis result and the second analysis result according to a first weight factor corresponding to the first analysis result and a second weight factor corresponding to the second analysis result ; and ; and Result monitoring module, used to monitor the fault score for fault monitoring. When the fault score is less than the score threshold , output that the fault result is passed for analysis. When the fault score is greater than the score threshold , output that the fault result is not passed for analysis.

10. A fault auxiliary analysis method applicable to an intelligent electricity meter, characterized in that, Including the following steps: Obtain a real-time resting image of the electricity meter terminal when it is in a resting state through the static analysis module; perform a resting fault analysis on the real-time resting image to obtain a first analysis result; Use dynamic simulation parameters to perform operation control on the electricity meter terminal through the dynamic analysis module to obtain dynamic feedback data of the electricity meter terminal; perform a dynamic analysis on the dynamic feedback data to obtain a second analysis result; Convert the adjustable calibration results in the first analysis result and the second analysis result into calibration parameters through the result output module to adjust the electricity meter terminal; Convert the uncalibrated results in the first analysis result and the second analysis result into fault scores and output the fault results of the electricity meter terminal.

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