Fault Auxiliary Analysis System and Method for Smart Electric Energy Meters

Abstract

The present invention provides a fault-assisted analysis system and method for smart electricity meters, which relate to the field of smart grid technology. The fault-assisted analysis system includes: a static analysis module for obtaining a real-time static image of the electricity meter terminal when it is in a static state; performing static fault analysis on the real-time static image to obtain a first analysis result; a dynamic analysis module for controlling the operation of the electricity meter terminal using dynamic simulation parameters 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 adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electricity meter terminal. The fault-assisted analysis system and method provided by the present invention can effectively realize fault prediction analysis of the electricity meter terminal, thereby timely repairing and replacing the electricity meter terminal in a high-risk usage state.

Description

Technical Field

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

[0002] Smart meters are essential data collection devices for smart grids (especially smart distribution networks). They collect, measure, and transmit raw energy data, and serve as the foundation for information integration, analysis, optimization, and presentation. In addition to the basic electricity consumption metering capabilities of traditional meters, smart meters also offer intelligent features to adapt to smart grids and renewable energy applications, such as bidirectional multi-rate metering, user-side control, two-way data communication with multiple data transmission modes, and power theft prevention.

[0003] During the use of existing electricity meter terminals, the electricity meter is affected by the surrounding environment after installation, such as environmental corrosion, loose wiring, position movement or tilt of the electricity meter, which may pose a certain threat to the electricity meter's failure. In addition, due to slight inaccuracies in the electricity meter's pulses, tripping, alarms, etc., the electricity meter may gradually malfunction, which may pose a certain threat. These situations have not been paid attention to during the use of the electricity meter terminal. Therefore, the use of the electricity meter terminal brings many uncontrollable failure risks, which is not conducive to the timely replacement and maintenance of the electricity meter terminal. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a fault auxiliary analysis system and method suitable for smart electricity meters, which is used to solve the problem in the prior art that during the use of the electricity meter terminal, the electricity meter is affected by the surrounding environment after installation, such as environmental corrosion, loose wiring, position movement or tilt of the electricity meter, which may pose a certain threat to the electricity meter. In addition, due to slight inaccuracies in the electricity meter pulse, tripping, alarm, etc., the electricity meter may gradually pose a certain threat to the electricity meter. These situations have not been paid attention to during the use of the electricity meter terminal. Therefore, many uncontrollable failure risks are brought to the use of the electricity meter terminal, and it is not conducive to the timely replacement and maintenance of the electricity meter terminal.

[0005] To achieve the above-mentioned objectives and other related objectives, the present invention provides a fault auxiliary analysis system suitable for smart electric energy meters, comprising: a static analysis module for obtaining a real-time static image of an electric energy meter terminal when the electric energy meter terminal is in a static state; performing static fault analysis on the real-time static image to obtain a first analysis result; a dynamic analysis module for controlling the operation of the electric energy meter terminal using 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 a result output module for converting adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electric energy meter terminal; converting unadjusted results in the first analysis result and the second analysis result into a fault score, and outputting the fault result of the electric energy meter terminal.

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

[0007] In one embodiment of the present invention, the comparison module includes: a scanning module for scanning the real-time rest image to obtain all rest analysis areas in the real-time rest image ; The first analysis module is used to analyze the resting area Reference areas corresponding to resting reference images Perform comparative analysis to obtain each resting analysis area The first trend towards the generation of fault inducement ; and a first output module for analyzing the region according to each resting state The corresponding first cause weight of the generated fault , get the rest fault weight As the first analysis result.

[0008] In one embodiment of the present invention, the first analysis module includes: a first offset comparison module for comparing the rest analysis area Reference areas corresponding to resting reference images Compare and get the rest analysis area Relative to each benchmark area Resting offset ; and a first trend calculation module for analyzing the resting area according to each The maximum resting offset corresponding to the fault cause , get the first trend degree of development towards the direction of generating fault inducement ,in, .

[0009] In one embodiment of the present invention, the dynamic analysis module uses dynamic simulation parameters to control the operation of the electric energy meter terminal to obtain dynamic feedback data of the electric energy meter terminal, including: a second acquisition module for obtaining various simulation types for operating the electric energy meter terminal Corresponding dynamic simulation parameter group ; and a simulation control module for sequentially setting the dynamic simulation parameter groups Input into the electric energy meter terminal to control the operation of the electric energy meter terminal and obtain dynamic video data of the electric energy meter terminal As dynamic feedback data.

[0010] In one embodiment of the present invention, the dynamic analysis module dynamically analyzes the dynamic feedback data to obtain a second analysis result, including: a second analysis module for dynamically analyzing the dynamic feedback data according to the dynamic simulation parameter group. The corresponding dynamic analysis area is used to analyze the dynamic video data Dynamic analysis areas Analyze the dynamic state of each dynamic video data The second trend towards the generation of fault inducement And a second output module for each dynamic video data The corresponding second cause weight of the generated fault , and obtain the dynamic fault weight As the second analysis result.

[0011] In one embodiment of the present invention, the second analysis module includes: a second offset comparison module for comparing each dynamic video data Dynamic analysis areas The dynamic state of the dynamic reference video corresponds to each reference dynamic area Compare the dynamic state of the video to get dynamic video data Dynamic analysis areas Relative to the dynamic reference video reference dynamic area Dynamic offset ; and a second trend calculation module for calculating the trend of each dynamic video data Dynamic analysis areas The maximum dynamic offset corresponding to the fault cause , and obtain the second trend degree of development in the direction of generating fault inducement ,in, .

[0012] In one embodiment of the present invention, the result output module converts the adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electric energy 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 electric energy meter terminal adjustment , and the dynamic analysis area corresponding to the second analysis result that can be used for on-site electricity meter terminal adjustment ; and an adjustment module for converting the rest analysis area and dynamic analysis area Adjust the electricity meter terminal according to the set rules.

[0013] In one embodiment of the present invention, the result output module converts the unadjusted result in the first analysis result and the second analysis result into a fault score and outputs the fault result of the electric energy meter terminal, including: a first adjustment calculation module for obtaining the static analysis area The corresponding resting correction weight after adjustment is completed , and obtain the total resting correction weight ; A first adjustment calculation module for adjusting the rest fault weight corresponding to the first analysis result , calculate the first adjustment weight ; The second trimming calculation module is used to obtain the dynamic analysis area The corresponding dynamic correction weight after the adjustment is completed , get the total dynamic correction weight ; The second adjustment calculation module is used to adjust the dynamic fault weight corresponding to the second analysis result , calculate the second adjustment weight ; Fault result module, used for the first weight factor corresponding to the first analysis result A second weighting factor corresponding to the second analysis result , get the fault score combining the first analysis result and the second analysis result ; and result monitoring module for fault score Perform fault monitoring, when the fault score Less than the score threshold When the fault result is output as analysis passed, when the fault score Greater than score threshold , the output failure result is analysis failed.

[0014] To achieve the above-mentioned objectives and other related objectives, the present invention also provides a fault-assisted analysis method suitable for smart electric energy meters, comprising the following steps: obtaining a real-time static image of the electric energy meter terminal when it is in a static state through a static analysis module; performing static fault analysis on the real-time static image to obtain a first analysis result; controlling the operation of the electric energy meter terminal using dynamic simulation parameters through a dynamic analysis module 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; converting the adjustable results in the first analysis result and the second analysis result into adjustment parameters through a result output module to adjust the electric energy meter terminal; converting the unadjusted results in the first analysis result and the second analysis result into a fault score, and outputting the fault result of the electric energy meter terminal.

[0015] As described above, the fault auxiliary analysis system and method for smart electric energy meters of the present invention have the following beneficial effects: by performing a static fault analysis based on a real-time static image on the electric energy meter terminal, a static fault can be determined as a first analysis result, and then the electric energy meter terminal is simulated and controlled by specific dynamic simulation parameters to obtain dynamic feedback data, and then the dynamic feedback data is further analyzed to obtain a dynamic fault as a second analysis result. Furthermore, after the adjustment of some adjustable results is 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 electric energy meter terminal is controllable, thereby ensuring that the electric energy meter terminal can operate in a risk-controllable state and reducing the occurrence of electric energy meter data inaccuracy caused by electric energy meter faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Shown is a system architecture diagram of the fault auxiliary analysis system of the present invention.

[0017] Figure 2 Shown is a flow chart of the fault-assisted analysis of the present invention.

[0018] Component number description

[0019] Static analysis module 10; dynamic analysis module 20; result output module 30. DETAILED DESCRIPTION

[0020] See also Figure 1In one embodiment of the present invention, the fault auxiliary analysis system for a smart electric energy meter provided by the present invention includes: a static analysis module 10, used to obtain a real-time static image of the electric energy meter terminal when the electric energy meter terminal is in a static state; perform static fault analysis on the real-time static image to obtain a first analysis result; a dynamic analysis module 20, used to use dynamic simulation parameters to control the operation of the electric energy meter terminal to obtain dynamic feedback data of the electric energy meter terminal; perform dynamic analysis on the dynamic feedback data to obtain a second analysis result; and a result output module 30, used to convert adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electric energy meter terminal; convert unadjusted results in the first analysis result and the second analysis result into a fault score, and output the fault result of the electric energy meter terminal.

[0021] In this embodiment, during the use of the electric energy meter terminal, various reasons may cause the electric energy meter terminal to malfunction. These reasons mainly include static factors when the electric energy meter is in a resting state and dynamic factors when the electric energy meter is in an operating state. Static factors may include, for example, the electric energy meter wiring, the electric energy meter placement orientation, and the degree of corrosion on the electric energy meter; dynamic factors may include the response of the electric energy meter's pulse indicator light, trip indicator light, and alarm indicator light. The static analysis module 10 can capture a real-time static image of the electric energy meter terminal when it is in a resting state. After acquiring the real-time static image, the real-time static image is analyzed for the risk of static faults to obtain a first analysis result. The dynamic analysis module 20 can then control the operation of the electric energy meter terminal using dynamic simulation parameters to simulate the operating state and obtain dynamic return data corresponding to the dynamic response of the electric energy meter's pulse indicator light, trip indicator light, and alarm indicator light. The dynamic return data is then further analyzed for the risk of dynamic faults to obtain a second analysis result. Finally, the result output module 30 is used to output the corresponding adjustment parameters for the adjustable results in the first analysis result and the second analysis result obtained by analysis, so as to adjust the electric energy meter terminal according to the adjustment parameters. Specifically, the electric energy meter terminal can be adjusted by automatic adjustment. For example, when the pulse indicator light of the electric energy meter is inaccurate, the pulse indicator light of the electric energy meter can be automatically adjusted; when the placement direction of the electric energy meter deviates, the placement direction of the electric energy meter can be adjusted manually. After the adjustment is completed, and the real-time static image that has been re-collected is re-analyzed, after it is determined that the adjustment is completed, a signal indicating that the adjustment of the electric energy meter terminal is completed is obtained. Finally, after the adjustment of the electric energy meter terminal is completed, the adjusted first analysis result and the second analysis result are eliminated to obtain the unadjusted result in the first analysis result and the second analysis result, and the unadjusted result is further converted into a fault score to output the fault result of the electric energy meter terminal. In this way, it is possible to predict the failure results of the electric energy meter that may occur next by using the final risk situation of the electric energy meter failure, which includes both the static state and the dynamic state, that is, the failure score, so as to choose whether to repair or replace the electric energy meter according to the failure result to ensure the safe use of the electric energy meter terminal.

[0022] In one embodiment of the present invention, the static analysis module 10 performs a static fault analysis on the real-time static image to obtain a first analysis result, including: a first acquisition module for acquiring a static reference image of the electric energy meter terminal after initial calibration; and a comparison module for comparing the static reference image with the real-time static image to obtain the first analysis result.

[0023] In this embodiment, during the static fault analysis process, the real-time static image and static reference image obtained by the static analysis module 10 can be manually uploaded to the power consumption collection terminal by the monitoring personnel. Of course, it can also be obtained by using an on-site shooting tool to shoot the electric energy meter terminal on-site and automatically uploading it to the power consumption collection terminal. Then, the first acquisition module obtains the historically stored static reference image of the electric energy meter terminal from the power consumption collection terminal. The static reference image is the corresponding reference image information after the electric energy meter terminal has been tested, verified, and calibrated in the past. The static reference image is then compared with the real-time static image by the comparison module to further determine the degree of deviation of the real-time static image relative to the static reference image. Then, based on the degree of deviation, the first analysis result corresponding to the static fault analysis is converted.

[0024] In one embodiment of the present invention, the comparison module includes: a scanning module for scanning the real-time rest image to obtain all rest analysis areas in the real-time rest image. ; The first analysis module is used to analyze the resting area Reference areas corresponding to resting reference images Perform comparative analysis to obtain each resting analysis area The first trend towards the generation of fault inducement ; and a first output module for analyzing the region according to each resting state The corresponding first cause weight of the generated fault , get the rest fault weight As the first analysis result.

[0025] In this embodiment, when the comparison module compares the resting reference image with the real-time resting image, the scanning module first analyzes the real-time resting image using a pre-trained regional analysis model, etc., and all the resting analysis regions in the real-time resting image can be obtained. Then, the first analysis module is used to analyze the resting area. Compared with the reference areas in the resting reference image Perform comparative analysis to identify resting analysis areas Relative to each benchmark area The offset is for each rest analysis area The first trend towards the generation of fault inducement Finally, the first output module is used to analyze the resting area according to the preset The corresponding first cause weight of the generated fault , for each resting analysis area The first trend towards the generation of fault inducement Perform comprehensive processing to obtain the static fault weight , and with resting fault weight As the first analysis result, it is used as an important factor to evaluate the risk of failure of the electricity meter, that is, the failure score.

[0026] In one embodiment of the present invention, the first analysis module includes: a first offset comparison module for comparing the rest analysis area Reference areas corresponding to resting reference images Compare and get the rest analysis area Relative to each benchmark area Resting offset ; and a first trend calculation module for analyzing the resting area according to each The maximum resting offset corresponding to the fault cause , get the first trend degree of development towards the direction of generating fault inducement ,in, .

[0027] In this embodiment, the first analysis module analyzes the resting area Reference areas corresponding to resting reference images During the comparative analysis, the rest analysis area is compared with the first offset comparison module. Reference areas corresponding to resting reference images By comparison, the rest analysis area can be determined Device characteristics relative to each reference area The rest offset of the corresponding device characteristic For example, during the use of the electric energy meter terminal, a certain degree of positional offset will occur relative to the reference electric energy meter after the electric energy meter is detected, such as a certain degree of tilt or movement relative to the electric energy meter box. The first offset comparison module can be used to calculate the static offset when the electric energy meter box is tilted or moved. The first trend calculation module can also be used to analyze the resting areas. The maximum static offset corresponding to the fault cause (that is, the allowable risk of the electricity meter in the static state) , calculate the first trend degree of development towards the direction of generating fault inducement , which is the resting offset The corresponding maximum resting offset The ratio between them, namely the first trend degree .

[0028] In one embodiment of the present invention, the dynamic analysis module 20 uses dynamic simulation parameters to control the operation of the electric energy meter terminal to obtain dynamic feedback data of the electric energy meter terminal, including: a second acquisition module for obtaining various simulation types for operating the electric energy meter terminal Corresponding dynamic simulation parameter group ; and a simulation control module for sequentially setting the dynamic simulation parameter groups Input into the electric energy meter terminal to control the operation of the electric energy meter terminal and obtain dynamic video data of the electric energy meter terminal As dynamic feedback data.

[0029] In this embodiment, compared with the static fault analysis of the electric energy meter terminal by the static analysis module 10, the dynamic analysis module 20 can also be used to perform dynamic analysis on the electric energy meter terminal. Before performing the dynamic analysis, the second acquisition module can be used to obtain the fault information according to the simulation type to be analyzed. , obtain the dynamic simulation parameter group for operating control of the electric energy meter terminal Then, the simulation control module is used to set the dynamic simulation parameters according to each Input into the electric energy meter terminal, control the operation of the electric energy meter terminal to obtain dynamic video data of the electric energy meter terminal As dynamic feedback data. It is worth noting that each dynamic simulation parameter group The corresponding parameters are adjusted to achieve the corresponding simulation type. The simulation control purpose, where the simulation type It can be used to simulate the control of energy meter pulse indicator light, trip indicator light, alarm indicator light, etc. Dynamic video data The data can be obtained by manually photographing the data by a monitoring person and uploading the data to the power consumption collection terminal. Alternatively, the data can be obtained by using a field photography tool to photograph the energy meter terminal and automatically uploading the data to the power consumption collection terminal.

[0030] In one 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 for dynamically analyzing the dynamic feedback data according to the dynamic simulation parameter group; The corresponding dynamic analysis area is used to analyze the dynamic video data Dynamic analysis areas Analyze the dynamic state of each dynamic video data The second trend towards the generation of fault inducement And a second output module for each dynamic video data The corresponding second cause weight of the generated fault , and obtain the dynamic fault weight As the second analysis result.

[0031] In this embodiment, by dynamically simulating the parameter group Input into the electric energy meter terminal, control the operation of the electric energy meter terminal, and obtain dynamic video data of the electric energy meter terminal Afterwards, the second analysis module can be used to analyze dynamic video data. The corresponding dynamic analysis area Analyze the dynamic state to obtain each dynamic video data The second trend towards the generation of fault inducement For example, when performing dynamic analysis on the pulse indicator light of an energy meter, the dynamic simulation parameter group corresponding to the dynamic analysis on the pulse indicator light of the energy meter is obtained. Input to the electric energy meter terminal for simulation to obtain the beating of the electric energy meter pulse indicator light. Corresponding dynamic video data Dynamic analysis area in , we can get the second trend degree of its development towards the direction of generating fault inducement . Further, the second output module generates the second cause weight of the fault , the dynamic fault weight can be further predicted , as the second analysis result, combined with the rest fault weight That is, the first analysis result is used to evaluate the risk of failure of the electricity meter, that is, the failure score.

[0032] It is worth noting that when using dynamic simulation parameter groups During control, built-in resistors can be added to the electricity meter terminal as needed to achieve, for example, analysis of the beating of the pulse indicator light of the electricity meter. Of course, the built-in resistors in the electricity meter terminal itself can also be used for work control to perform relevant analysis.

[0033] In one embodiment of the present invention, the second analysis module includes: a second offset comparison module for comparing each dynamic video data Dynamic analysis areas The dynamic state of the dynamic reference video corresponds to each reference dynamic area Compare the dynamic state of the video to get dynamic video data Dynamic analysis areas Relative to the dynamic reference video reference dynamic area Dynamic offset ; and a second trend calculation module for calculating the trend of each dynamic video data Dynamic analysis areas The maximum dynamic offset corresponding to the fault cause , and obtain the second trend degree of development in the direction of generating fault inducement ,in, .

[0034] In this embodiment, when calculating the second trend degree In the process, the second offset comparison module can be used to realize the Dynamic analysis areas The dynamic state of the dynamic reference video corresponds to each reference dynamic area Compare the dynamic state of the video to get dynamic video data Dynamic analysis areas Relative to the dynamic reference video reference dynamic area Dynamic offset For example, when performing dynamic analysis of the pulse indicator light of an energy meter, the dynamic simulation parameter group corresponding to the dynamic analysis of the pulse indicator light of the energy meter is used. Input to the electric energy meter terminal for simulation to obtain the beating of the electric energy meter pulse indicator light. Corresponding dynamic video data Dynamic analysis area in The beating frequency of the dynamic reference video is consistent with the dynamic range of each reference video. The beating frequency of the dynamic analysis area can be compared with Dynamic offset of the beating frequency When the second trend calculation module is processing, it will calculate the dynamic video data based on the Dynamic analysis areas The maximum dynamic offset corresponding to the fault cause , and obtain the second trend degree of development in the direction of generating fault inducement ,in, . That is, to get the dynamic offset After that, the second trend calculation module can be used to calculate the dynamic offset of the pulse indicator light of the energy meter. , combined with its corresponding maximum dynamic offset , get the second trend degree of the electric energy meter pulse indicator light developing in the direction of generating fault inducement , that is, the second trend degree .

[0035] In one embodiment of the present invention, the result output module 30 converts the adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electric energy 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 electric energy meter terminal adjustment , and the dynamic analysis area corresponding to the second analysis result that can be used for on-site electricity meter terminal adjustment ; and an adjustment module for converting the rest analysis area and dynamic analysis area Adjust the electricity meter terminal according to the set rules.

[0036] In this embodiment, after obtaining the first analysis result and the second analysis result, the extraction module can be used to realize the static analysis area in the first analysis result that can be used for on-site electric energy meter terminal adjustment. Extraction, and the dynamic analysis area that can be used for on-site electricity meter terminal adjustment in the second analysis result Extraction of . In the rest analysis area and dynamic analysis area Afterwards, the electric energy meter terminal is adjusted according to the set rules through the adjustment module. Specifically, during the adjustment, the electric energy meter terminal can be directly adjusted according to the software calibration method. For example, when the beating state of the electric energy meter pulse indicator light is inaccurate, an intelligent adjustment can be made directly. Of course, for example, when the electric energy meter terminal is tilted, the staff can go to the site to manually adjust it. In addition, there are some situations that cannot be adjusted. For example, if the electric energy meter terminal is corroded, it cannot be processed and will be directly used for the conversion of the fault score.

[0037] In one embodiment of the present invention, the result output module 30 converts the unadjusted result in the first analysis result and the second analysis result into a fault score and outputs the fault result of the electric energy meter terminal, including: a first adjustment calculation module for obtaining the static analysis area The corresponding resting correction weight after adjustment is completed , and obtain the total resting correction weight ; A first adjustment calculation module for adjusting the rest fault weight corresponding to the first analysis result , calculate the first adjustment weight ; The second trimming calculation module is used to obtain the dynamic analysis area The corresponding dynamic correction weight after the adjustment is completed , get the total dynamic correction weight ; The second adjustment calculation module is used to adjust the dynamic fault weight corresponding to the second analysis result , calculate the second adjustment weight ; Fault result module, used for the first weight factor corresponding to the first analysis result A second weighting factor corresponding to the second analysis result , get the fault score combining the first analysis result and the second analysis result ; and result monitoring module for fault score Perform fault monitoring, when the fault score Less than the score threshold When the fault result is output as analysis passed, when the fault score Greater than score threshold , the output failure result is analysis failed.

[0038] In this embodiment, in the process of converting the unadjusted result in the first analysis result and the second analysis result into a fault score by the result output module 30, the static analysis area can be realized by the first trimming calculation module. Processing, that is, the weight of the static fault The rest analysis area has been adjusted Corresponding resting correction weight Obtain, and further sum to obtain the total resting correction weight Specifically, each resting correction weight Calculation of resting fault weight The calculation is the same as that of After the adjustment is completed, the rest analysis area The corresponding first trend degree ( ) and the corresponding first incentive weight Calculate and get the total resting correction weight Then, the first adjustment calculation module is used to adjust the static fault weight corresponding to the first analysis result. Total resting modified weight Do the difference calculation to get the first adjustment weight Similarly, the second adjustment calculation module calculates the dynamic correction weight Method with dynamic fault weight The total dynamic correction weight is obtained by the second trimming calculation module. Afterwards, the second adjustment calculation module is used to adjust the dynamic fault weight corresponding to the second analysis result. and total dynamic modification weight Do the difference calculation to get the second adjustment weight . Then get the first adjustment weight and the second adjustment weight Then, the first weight factor corresponding to the first analysis result is combined A second weighting factor corresponding to the second analysis result , so that the combined fault score can be further calculated , thereby achieving a passing failure score To evaluate the risk status of the current static and dynamic states of the electric energy meter. Specifically, the fault score can be realized through the result monitoring module. Perform fault monitoring, when the fault score Less than the score threshold When the fault score is , the output fault result is analysis passed, indicating that the risk of the current electric energy meter terminal is within the controllable range. Greater than score threshold When the fault result is output as analysis failed, it means that the risk of the current electricity meter terminal is uncontrollable and the electricity meter needs to be repaired or replaced.

[0039] like Figure 2 As shown, the present invention also provides a fault auxiliary analysis method suitable for smart electric energy meters, comprising the following steps: obtaining a real-time static image of the electric energy meter terminal when it is in a static state through a static analysis module 10; performing static fault analysis on the real-time static image to obtain a first analysis result; controlling the operation of the electric energy meter terminal using dynamic simulation parameters through a dynamic analysis module 20 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; converting adjustable results in the first analysis result and the second analysis result into adjustment parameters through a result output module 30 to adjust the electric energy meter terminal; converting unadjusted results in the first analysis result and the second analysis result into a fault score, and outputting the fault result of the electric energy meter terminal.

[0040] In summary, the fault auxiliary analysis system and method disclosed in the present invention, which is applicable to smart electric energy meters, can determine the static fault as the first analysis result by performing static fault analysis on the electric energy meter terminal based on real-time static images, and then simulate the control operation of the electric energy meter terminal through specific dynamic simulation parameters to obtain dynamic feedback data, and then further analyze the dynamic feedback data to obtain dynamic fault as the second analysis result. Furthermore, after completing the adjustment 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 electric energy meter terminal is controllable, thereby ensuring that the electric energy meter terminal can operate in a risk-controllable state and reducing the occurrence of electric energy meter data inaccuracy caused by electric energy meter faults. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has a high industrial utilization value.

[0041] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical principles disclosed herein are intended to be covered by the claims of the present invention.

Claims

1. A fault auxiliary analysis system suitable for smart electric energy meters, characterized in that: include: Static analysis module, used to obtain real-time static images when the electric energy meter terminal is in a static state; Performing a rest fault analysis on the real-time rest image to obtain a first analysis result; a dynamic analysis module, configured to control the operation of the electric energy meter terminal using dynamic simulation parameters to obtain dynamic feedback data of the electric energy meter terminal; and dynamically analyze the dynamic feedback data to obtain a second analysis result; as well as a result output module, configured to convert the adjustable results in the first analysis result and the second analysis result into adjustment parameters, and adjust the electric energy 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 electric energy meter terminal; The result output module converts the uncalibrated results in the first analysis result and the second analysis result into a fault score and outputs the fault result of the electric energy meter terminal, including: The first trimming calculation module is used to obtain the rest analysis area The corresponding resting correction weight after adjustment is completed , and obtain the total resting correction weight ; A first adjustment calculation module is used to adjust the static fault weight corresponding to the first analysis result , calculate the first adjustment weight ; The second trimming calculation module is used to obtain the dynamic analysis area The corresponding dynamic correction weight after the adjustment is completed , get the total dynamic correction weight ; The second adjustment calculation module is used to adjust the dynamic fault weight corresponding to the second analysis result , calculate the second adjustment weight ; A fault result module is used to calculate the first weight factor corresponding to the first analysis result. A second weighting factor corresponding to the second analysis result , obtain the fault score combining the first analysis result and the second analysis result .

2. The fault auxiliary analysis system for smart electric energy meters according to claim 1 is characterized in that: The static analysis module performs static fault analysis on the real-time static image to obtain a first analysis result, including: A first acquisition module is configured to acquire a static reference image of the electric energy meter terminal after initial calibration; and A comparison module is 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 for smart electric energy meters according to claim 2 is characterized in that: The comparison module includes: A scanning module is used to scan the real-time resting image to obtain all resting analysis areas in the real-time resting image. ; The first analysis module is used to analyze the resting area Reference areas corresponding to the resting reference image Comparative analysis was performed to obtain each of the resting analysis areas The first trend towards the generation of fault inducement ;as well as A first output module is used to analyze the resting area according to each of the resting areas. The corresponding first cause weight of the generated fault , get the rest fault weight As the first analysis result.

4. The fault auxiliary analysis system for smart electric energy meters according to claim 3 is characterized in that: The first analysis module includes: The first offset comparison module is used to compare the rest analysis area Reference areas corresponding to the resting reference image Compare and obtain the resting analysis area Relative to each of the reference areas Resting offset ;as well as The first trend calculation module is used to analyze the resting areas according to the The maximum resting offset corresponding to the fault cause , get the first trend degree of development towards the direction of generating fault inducement ,in, .

5. The fault auxiliary analysis system for smart electric energy meters according to claim 1 is characterized in that: The dynamic analysis module uses dynamic simulation parameters to control the operation of the electric energy meter terminal to obtain dynamic feedback data of the electric energy meter terminal, including: The second acquisition module is used to obtain the dynamic simulation parameter group corresponding to each simulation type for operating the electric energy meter terminal. ;as well as The simulation control module is used to sequentially set the dynamic simulation parameter groups Input into the electric energy meter terminal to control the operation of the electric energy meter terminal to obtain dynamic video data of the electric energy meter terminal As the dynamic feedback data.

6. The fault auxiliary analysis system for smart electric energy meters according to claim 5, characterized in that: The dynamic analysis module dynamically analyzes the dynamic feedback data to obtain a second analysis result, including: The second analysis module is used to analyze the dynamic simulation parameters according to the The corresponding dynamic analysis area is used to analyze the dynamic video data Each of the dynamic analysis areas The dynamic state of each dynamic video data is analyzed to obtain The second trend towards the generation of fault inducement ;as well as The second output module is used to output the dynamic video data according to each The corresponding second cause weight of the generated fault , and obtain the dynamic fault weight As the second analysis result.

7. The fault auxiliary analysis system for smart electric energy meters according to claim 6, characterized in that: The second analysis module includes: The second offset comparison module is used to compare the dynamic video data Each of the dynamic analysis areas The dynamic state of the dynamic reference video corresponds to each reference dynamic area The dynamic state is compared to obtain the dynamic video data Each of the dynamic analysis areas Relative to each reference dynamic area of the dynamic reference video Dynamic offset ;as well as The second trend calculation module is used to calculate the trend of the dynamic video data according to the Each of the dynamic analysis areas The maximum dynamic offset corresponding to the fault cause , and obtain the second trend degree of development towards the direction of generating fault inducement ,in, .

8. The fault auxiliary analysis system for smart electric energy meters according to claim 1, characterized in that: The result output module converts the adjustable results in the first analysis result and the second analysis result into adjustment parameters to adjust the electric energy meter terminal, including: An extraction module is used to extract the corresponding static analysis area in the first analysis result that can be used for on-site electric energy meter terminal adjustment , and the dynamic analysis area corresponding to the second analysis result that can be used for on-site electric energy meter terminal adjustment ;as well as An adjustment module is used to adjust the rest analysis area and the dynamic analysis area The electric energy meter terminal is adjusted according to the set rules.

9. The fault auxiliary analysis system for smart electric energy meters 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 a fault score and outputs the fault result of the electric energy meter terminal, further comprising: The result monitoring module is used to monitor the fault score Perform fault monitoring, when the fault score Less than the score threshold When the fault result is output as analysis passed, when the fault score Greater than score threshold , the fault result is output as analysis failed.

10. A fault auxiliary analysis method applicable to a smart electric energy meter, characterized in that: The steps include: Acquire a real-time static image of the electric energy meter terminal when it is in a static state through a static analysis module; perform static fault analysis on the real-time static image to obtain a first analysis result; The dynamic analysis module uses dynamic simulation parameters to control the operation of the electric energy meter terminal to obtain dynamic feedback data of the electric energy meter terminal; and dynamically analyzes 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 adjustment parameters through a result output module to adjust the electric energy 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 electric energy meter terminal; The result output module converts the uncalibrated results in the first analysis result and the second analysis result into a fault score and outputs the fault result of the electric energy meter terminal, including: The first trimming calculation module is used to obtain the rest analysis area The corresponding resting correction weight after adjustment is completed , and obtain the total resting correction weight ; A first adjustment calculation module is used to adjust the static fault weight corresponding to the first analysis result , calculate the first adjustment weight ; The second trimming calculation module is used to obtain the dynamic analysis area The corresponding dynamic correction weight after the adjustment is completed , get the total dynamic correction weight ; The second adjustment calculation module is used to adjust the dynamic fault weight corresponding to the second analysis result , calculate the second adjustment weight ; A fault result module is used to calculate the first weight factor corresponding to the first analysis result. A second weighting factor corresponding to the second analysis result , obtain the fault score combining the first analysis result and the second analysis result .

Images