State Evaluation Method, Device, Equipment and Storage Medium of Electric Power Metering Equipment

Through the multi-dimensional evaluation model of smart meter data and image analysis, the problem of inefficient manual inspection of smart meter is solved, the efficient operation of the power system and user billing accuracy are achieved, and the frequency and cost of manual inspection are reduced.

CN119959858BActive Publication Date: 2025-08-01SHENZHEN YINJUN TECH
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Patent Information

Application Number
CN202510443466.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-10
Publication Date
2025-08-01
Estimated Expiration
2045-04-10

AI Technical Summary

Technical Problem

The manual inspection method of smart meters in the prior art is inefficient and cannot efficiently process a large number of meters, resulting in insufficient operating efficiency of the power system and user billing accuracy.

Method used

By obtaining the data and image information of smart meters, combining the meter operation data, environmental parameters and image recognition technology, the meter status is automatically evaluated, including operating performance, appearance status and environmental impact, and a multi-dimensional evaluation model is built to generate the meter status evaluation results.

Benefits of technology

It realizes efficient automatic inspection of smart meters, reduces labor costs, improves the operational efficiency of the power system and user billing accuracy, promptly discovers potential problems, and ensures the reliable operation of power equipment.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention discloses a method, device, equipment and storage medium for state evaluation of power metering equipment. The method includes obtaining first electric meter data uploaded by a first electric meter and a first electric meter image of the first electric meter uploaded by a user, determining first state information of the first electric meter in the current state according to the first electric meter data, and determining environmental state information of the environment where the first electric meter is currently located according to the first electric meter data, determining second state information of the first electric meter currently according to the first electric meter data and the first electric meter image, and evaluating and processing the electric meter state of the first electric meter currently according to the first state information, the second state information and the environmental state information to obtain an electric meter state evaluation result of the first electric meter currently. By adopting the present invention, the labor cost required for professional personnel to check the smart electric meter on-site can be reduced, and non-professional individual users can also check the operation state of the smart electric meter by themselves, improving the inspection efficiency of the smart electric meter.
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Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method, device, equipment and storage medium for evaluating the state of a power metering device. Background Art

[0002] An intelligent electric meter is mainly a device for measuring and recording power consumption and uploading the recorded data to the power system. The accuracy of its data directly affects the operation efficiency of the power system and user billing.

[0003] In order to ensure the accuracy of the data collected by the intelligent electric meter, in the related art, usually professional personnel manually visit the intelligent electric meter to check it, so as to determine the operation condition of the intelligent electric meter. However, the method of manual inspection cannot process a large number of intelligent electric meters in the same area, and there are problems of time consumption and low efficiency.

[0004] Therefore, in order to reduce the labor cost of manual inspection and optimize the power management process, there is an urgent need for an intelligent electric meter data processing method that can be efficient and automated, so as to automatically inspect the intelligent electric meter based on the data uploaded by the intelligent electric meter, and ensure the efficient operation of the power system and the accuracy of user billing. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a method, device, equipment and storage medium for evaluating the state of a power metering device, so as to solve the technical problem of low efficiency in the existing manual inspection method of intelligent electric meters.

[0006] In a first aspect, the embodiments of the present invention provide a method for evaluating the state of a power metering device, including:

[0007] Obtaining first electric meter data uploaded by a first electric meter and a first electric meter image of the first electric meter uploaded by a user, where the first electric meter data includes at least one type of collection data collected by the first electric meter;

[0008] Determining first state information of the first electric meter in the current state according to the first electric meter data, and determining environmental state information of the environment where the first electric meter is currently located according to the first electric meter data;

[0009] Determining second state information of the first electric meter currently according to the first electric meter data and the first electric meter image;

[0010] Evaluating and processing the current electric meter state of the first electric meter according to the first state information, the second state information, and the environmental state information, to obtain an evaluation result of the current electric meter state of the first electric meter.

[0011] In some embodiments, the step of determining the first status information of the first electricity meter in the current state according to the first electricity meter data includes:

[0012] According to the identification information in the first electricity meter data and the electricity meter operation data within a preset time period, determine the first operation data change curve of the electricity meter operation data of the first electricity meter in the current state, and the second operation data change curve of the electricity meter operation data of the first electricity meter in the initial state, where the electricity meter operation data includes voltage data and temperature data during the operation of the first electricity meter;

[0013] Perform a comparison process on the first operation data change curve and the second operation data change curve to obtain the electricity meter operation data difference information of the first electricity meter relative to the initial state;

[0014] Use the electricity meter operation data difference information as the first status information of the first electricity meter in the current state.

[0015] In some embodiments, the step of determining the environmental status information of the first electricity meter in the current environment according to the first electricity meter data includes:

[0016] According to the identification information in the first electricity meter data and the environmental parameter data within a preset time period, determine the first environmental change curve of the environment where the first electricity meter is located, and the second environmental change curve of the standard environment when the first electricity meter is in the initial state;

[0017] Perform a comparison process on the first environmental change curve and the second environmental change curve to obtain the environmental difference information of the current environment of the first electricity meter relative to the standard environment in the initial state;

[0018] Use the environmental difference information as the environmental status information of the first electricity meter in the current environment.

[0019] In some embodiments, the step of determining the second status information of the first electricity meter currently according to the first electricity meter data and the first electricity meter image includes:

[0020] According to the identification information in the first electricity meter data, determine the second electricity meter image of the first electricity meter in the initial state;

[0021] Perform a comparison process on the target areas in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target area in the first electricity meter image relative to the appearance in the initial state;

[0022] Use the appearance difference information as the second status information of the first electricity meter currently.

[0023] In some embodiments, the step of comparing the target regions in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target region in the first electricity meter image relative to the initial state includes:

[0024] Performing an identification process on the first electricity meter image to obtain first feature information of the target region in the first electricity meter image;

[0025] Comparing the second feature information of the target region in the second electricity meter image with the first feature information to obtain the appearance difference information of the target region in the first electricity meter image relative to the initial state, where the feature information includes the glass transmittance of the electricity meter dial, the deflection angle of the electricity meter pointer, and the display defect area of the electricity meter dial display screen.

[0026] In some embodiments, before the step of determining the current second state information of the first electricity meter according to the first electricity meter data and the first electricity meter image, the method further includes:

[0027] Performing an image quality evaluation process on the first electricity meter image to obtain an evaluation result;

[0028] When the evaluation result indicates that the first electricity meter image meets the target conditions, returning the evaluation result and the corresponding shooting suggestions to the user, where the target conditions include that the image blur degree exceeds the target threshold and the target region is blocked.

[0029] In some embodiments, the step of evaluating the current electricity meter state of the first electricity meter according to the first state information, the second state information, and the environmental state information to obtain the evaluation result of the current electricity meter state of the first electricity meter includes:

[0030] According to the identification information in the first electricity meter data, obtaining the weight coefficient set corresponding to the first electricity meter from a preset evaluation strategy library, where the weight coefficient set includes a first weight coefficient corresponding to the electricity meter operation data difference information, a second weight coefficient corresponding to the appearance difference information, and a third weight coefficient corresponding to the environmental difference information, and the sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1;

[0031] Based on the electricity meter operation data difference information and the first weight coefficient, the appearance difference information and the second weight coefficient, and the environmental difference information and the third weight coefficient, calculating the difference score of the first electricity meter relative to the initial state;

[0032] Compare the difference score with a preset evaluation threshold range to obtain the current evaluation result of the electricity meter status of the first electricity meter. The evaluation threshold range includes a first range, a second range, and a third range. The second range is greater than the first range, and the third range is greater than the second range. The electricity meter status evaluation result includes the electricity meter status normal result corresponding to the first range, the electricity meter status aging result corresponding to the second range, and the electricity meter status abnormal result corresponding to the third range.

[0033] In a second aspect, an embodiment of the present invention provides a status evaluation device for a power metering device, including:

[0034] An acquisition module, configured to acquire first electricity meter data uploaded by a first electricity meter and a first electricity meter image of the first electricity meter uploaded by a user. The first electricity meter data includes at least one type of acquisition data acquired by the first electricity meter;

[0035] A first determination module, configured to determine first status information of the first electricity meter in the current state according to the first electricity meter data, and determine environmental status information of the environment where the first electricity meter is currently located according to the first electricity meter data;

[0036] A second determination module, configured to determine second status information of the first electricity meter currently according to the first electricity meter data and the first electricity meter image;

[0037] An evaluation module, configured to perform an evaluation process on the current electricity meter status of the first electricity meter according to the first status information, the second status information, and the environmental status information, to obtain the current evaluation result of the electricity meter status of the first electricity meter.

[0038] In a third aspect, an embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the status evaluation method for a power metering device described in any one of the above are implemented.

[0039] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the status evaluation method for a power metering device described in any one of the above are implemented.

[0040] An embodiment of the present invention provides a method, apparatus, device, and storage medium for state evaluation of an electric power metering device. By obtaining the first electric meter data uploaded by the first electric meter and the first electric meter image uploaded by the user, this method can comprehensively analyze the first electric meter data and the image information of the first electric meter, thereby accurately calculating the current first state information, second state information, and environmental state information of the first electric meter, facilitating the evaluation of the current electric meter state of the first electric meter based on this information, timely discovering potential problems existing in the first electric meter according to the evaluation result, facilitating maintenance or replacement, ensuring the reliable operation of the electric power metering device, avoiding economic losses and safety hazards caused by equipment failures, and improving the overall operation efficiency of the power system. In addition, the present invention can also reduce the frequency and cost of manual inspections while improving the operation and maintenance efficiency of the electric power metering device. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 FIG. is a schematic flowchart of a method for state evaluation of an electric power metering device provided by an embodiment of the present invention;

[0042] Figure 2 FIG. is a schematic flowchart of determining the first state information provided by an embodiment of the present invention;

[0043] Figure 3 FIG. is a schematic flowchart of determining the environmental state information provided by an embodiment of the present invention;

[0044] Figure 4 FIG. is a schematic flowchart of determining the second state information provided by an embodiment of the present invention;

[0045] Figure 5 FIG. is a schematic structural diagram of a state evaluation device for an electric power metering device provided by an embodiment of the present invention;

[0046] Figure 6 FIG. is a schematic structural diagram of an electronic device provided by an embodiment of the present invention;

[0047] Figure 7 FIG. is another schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0049] It should be understood that the various steps described in the method embodiments of the present disclosure may be executed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0050] As used herein, the term "comprising" and its variations are open-ended, that is, "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0051] In the related art, an intelligent electric meter is mainly a device for measuring and recording power consumption and uploading the recorded data to the power system, and the accuracy of its data directly affects the operation efficiency of the power system and user billing.

[0052] In order to ensure the accuracy of the data collected by the intelligent electric meter, in the related art, it is usually to check the intelligent electric meter manually by professional personnel to determine the operation status of the intelligent electric meter. However, the method of manual inspection cannot process a large number of intelligent electric meters in the same area, and there are problems of time-consuming and low efficiency.

[0053] Therefore, in order to reduce the labor cost of manual inspection and optimize the power management process, there is an urgent need for an intelligent electric meter data processing method that can be efficient and automated to automatically inspect the intelligent electric meter based on the data uploaded by the intelligent electric meter to ensure the efficient operation of the power system and the accuracy of user billing.

[0054] In order to solve the technical problems existing in the related art, an embodiment of the present invention provides a method for evaluating the state of a power metering device. Please refer to Figure 1 , Figure 1 is a schematic flowchart of a method for evaluating the state of a power metering device provided by an embodiment of the present invention. The method includes steps 101 to 104;

[0055] Step 101, obtain the first electric meter data uploaded by the first electric meter and the first electric meter image of the first electric meter uploaded by the user.

[0056] Among them, the first electric meter data includes at least one type of acquisition data collected by the first electric meter. The acquisition data can be the reportable data that the first electric meter can collect, such as power consumption data, environmental parameter data, voltage data, current data, identification data, etc. Specifically, these acquisition data can be collected by various sensors integrated in the first electric meter and sent to the first electric meter, such as voltage sensors, current sensors, temperature sensors, humidity sensors, etc., or can be the data collected by sensors independently arranged outside the first electric meter and sent to the first electric meter. The image of the first electric meter uploaded by the user can contain information such as the appearance of the electric meter, the status of the indicator lights, the position of the buttons, the internal structure, etc., which is convenient for characterizing the physical condition of the electric meter.

[0057] It should be noted that the acquisition data collected by the first electric meter data is not limited to the data collected by the first electric meter once, but can also be the data collected multiple times, such as multiple times within a preset time.

[0058] Step 102, determine the first status information of the first electric meter in the current state according to the first electric meter data, and determine the environmental status information of the environment where the first electric meter is currently located according to the first electric meter data.

[0059] In this embodiment, the first status information provided in this embodiment can characterize the operating performance of the first electric meter, such as whether the electric meter is working normally and whether the working state is stable. Among them, this embodiment can determine the operating performance of the first electric meter by analyzing the electric meter operation data of the first electric meter. Specifically, please refer to Figure 2 , Figure 2 which is a schematic flowchart of a process for determining the first status information provided by an embodiment of the present invention. As Figure 2 shown, it includes steps 201 to 203;

[0060] Step 201, according to the identification information in the first electric meter data and the electric meter operation data within a preset time period, determine the first operation data change curve of the electric meter operation data of the first electric meter in the current state, and the second operation data change curve of the electric meter operation data of the first electric meter in the initial state.

[0061] Among them, the electric meter operation data provided in this embodiment includes the voltage data and temperature data when the first electric meter is running. The temperature data is not the environmental temperature data, but the operating temperature of the processing chip when the first electric meter is running. The voltage data can be used to analyze whether there is an abnormal fluctuation in the first electric meter, and the temperature data can be used to analyze whether there is an overheating phenomenon in the first electric meter, so as to determine the current operating state of the first electric meter.

[0062] In this embodiment, it is possible to collect the operation data of the electricity meter within a preset time period, such as the voltage data and temperature data of the electricity meter within 72 hours. By creating a curve of the change in operation data from the voltage data and temperature data, it is possible to visually analyze the voltage stability and temperature change trend of the electricity meter during operation within 72 hours. By carefully analyzing these curves of the change in operation data, it is possible to effectively identify potential operation problems of the electricity meter. For example, abnormal voltage fluctuations may indicate instability in the power supply, while abnormal temperature increases may mean that there is an overloading or insufficient heat dissipation in the internal components of the electricity meter. Ultimately, this information will assist in maintenance work and facilitate timely measures to ensure the long-term stability and safety of the operation of the electricity meter.

[0063] By continuously tracking the performance of the electricity meter and combining it with a pre-trained electricity meter performance prediction model, it is possible to more accurately predict the possible failures that may occur, thereby taking preventive measures to reduce downtime and maintenance costs. At the same time, such analysis can also provide a basis for the replacement of aging electricity meters to ensure that the electricity meter is always in the best working condition. Specifically, both the failures and aging of the electricity meter can be determined by analyzing the fluctuation amplitude of the curve of the change in operation data. The specific value of the fluctuation amplitude can be determined according to the model of the electricity meter and will not be specifically limited here. In this way, by regularly evaluating this data, it is possible to timely adjust the maintenance plan and even perform preventive intervention before problems occur.

[0064] In order to analyze whether the voltage stability and temperature change trend of the first electricity meter are normal trends, this embodiment can set a series of threshold parameters. If the curve of the change in operation data falls within the normal threshold range, it is considered that the electricity meter is operating normally; if there is a deviation, for example, the voltage fluctuation exceeds the set normal fluctuation threshold or the temperature exceeds the normal temperature threshold, the system will issue a warning signal. In this way, real-time monitoring and early warning of the operation status of the electricity meter can be achieved to ensure the stable operation of the electricity meter and the reliability of the power supply system.

[0065] Similarly, in order to better determine whether the curve of the change in the first operation data of the first electricity meter is a normal trend, this embodiment can also synchronously determine the operation data of the first electricity meter in its initial state, that is, in the normal state (in a scenario without any other interfering factors), so as to facilitate comparative analysis. Through such a comparison, it is possible to more accurately determine the performance of the first electricity meter under specific operating conditions and thus identify problems that only appear under specific circumstances.

[0066] Step 202: Compare and process the curve of the change in the first operation data and the curve of the change in the second operation data to obtain the information on the difference in the operation data of the first electricity meter relative to the initial state.

[0067] To further enhance the monitoring ability of the electricity meter, in this embodiment, the real-time operation data of the electricity meter can be first compared and analyzed with the operation data of the electricity meter in the normal state to evaluate the operation trend of the current electricity meter relative to the electricity meter in the normal state. Then, a comprehensive evaluation is carried out by combining subsequent multi-dimensional evaluation data, namely the second state information and the environmental state information, so as to effectively improve the accuracy of the electricity meter state evaluation.

[0068] Specifically, the electricity meter operation data difference information can be the fluctuation amplitude between the first operation data change curve and the second operation data change curve.

[0069] Step 203, use the electricity meter operation data difference information as the first state information of the first electricity meter in the current state.

[0070] After obtaining the electricity meter operation data difference information, the electricity meter operation data difference information can be used as the first state information of the first electricity meter in the current state, so as to facilitate subsequent combination with evaluation data of other dimensions and comprehensive evaluation.

[0071] In this embodiment, the environmental state information provided in this embodiment can characterize the external conditions under which the first electricity meter operates, including but not limited to ambient temperature, humidity, electromagnetic interference, etc. Combining these information can provide a more comprehensive understanding of the working environment of the electricity meter and provide more detailed data support for preventive maintenance and troubleshooting. Among them, this embodiment can determine the potential impact on the operation status of the first electricity meter by analyzing the environmental parameter data of the environment where the first electricity meter is located. Specifically, please refer to Figure 3 , Figure 3 is a schematic flowchart of a process for determining the environmental state information provided by an embodiment of the present invention. As Figure 3 shown, it includes steps 301 to step 303;

[0072] Step 301, according to the identification information in the first electricity meter data and the environmental parameter data within a preset time period, determine the first environmental change curve of the environment where the first electricity meter is located, and the second environmental change curve of the first electricity meter in the standard environment in the initial state.

[0073] In this embodiment, the environmental parameter data within a preset time period can be collected, for example, the environmental parameter data within 72 hours. By making the environmental parameter data within 72 hours into an operation data change curve, the environmental change trend of the electricity meter within 72 hours can be visually analyzed to determine the impact of the environmental change where the first electricity meter is located on the operation of the electricity meter.

[0074] Meanwhile, in order to evaluate the specific impact of environmental changes on the condition of the first electricity meter, this embodiment also needs to determine the second environmental change curve of the first electricity meter in the initial state in a standard environment (an environment that has no impact on the normal operation of the electricity meter). By comparing these two environmental change curves, the potential impact of environmental factors on the operating state of the electricity meter can be evaluated, expanding the electricity meter monitoring from simple performance detection to environmental adaptability assessment, and ensuring the stability and reliability of the electricity meter under various environmental conditions.

[0075] In addition, this embodiment can also be trained based on a large amount of historical data and examples to establish a complex association model between the electricity meter state and environmental factors. Then, combined with the real-time monitored environmental parameter data, it can timely detect and solve the electricity meter abnormal problems caused by environmental changes, thereby improving the overall operating efficiency and accuracy of the electricity meter. In this way, misreading and failures caused by environmental factors can be greatly reduced, and the operation and maintenance management level of the power system can be improved.

[0076] Step 302: Compare and process the first environmental change curve and the second environmental change curve to obtain the environmental difference information of the current environment of the first electricity meter relative to the standard environment in the initial state.

[0077] Specifically, the environmental difference information can be the fluctuation amplitude between the first environmental change curve and the second environmental change curve. The magnitude of the fluctuation amplitude can reflect the specific impact degree of environmental changes on the operating condition of the electricity meter. By analyzing these fluctuation characteristics in detail, the key environmental factors causing the performance fluctuation of the electricity meter can be identified, and corresponding adjustment or optimization measures can be formulated.

[0078] Step 303: Use the environmental difference information as the environmental state information of the first electricity meter in the current environment.

[0079] After obtaining the environmental difference information, this environmental difference information can be used as the environmental state information of the first electricity meter in the current environment, so as to facilitate subsequent combination with evaluation data in other dimensions for comprehensive evaluation and improve the evaluation accuracy of the electricity meter state.

[0080] Step 103: Determine the current second state information of the first electricity meter according to the first electricity meter data and the first electricity meter image.

[0081] In this embodiment, since the first electricity meter data provided in this embodiment may include identification information, the electricity meter model of the first electricity meter can be determined according to the first electricity meter data, and thus the image information of the corresponding electricity meter in the database can be found based on the electricity meter model. Combining the image information, the appearance condition of the electricity meter can be visually analyzed to determine whether there are problems such as wear, stains, or damage. In addition, the accuracy of the electricity meter reading can also be detected through image recognition technology to ensure that the collected data is true and reliable. Through the double verification of the electricity meter data and the image information, a more comprehensive and accurate basis is provided for the status evaluation of the electricity meter.

[0082] Specifically, please refer to Figure 4 , Figure 4 which is a schematic flowchart of a process for determining the second status information provided by an embodiment of the present invention. As Figure 4 shown, it includes steps 401 to 403;

[0083] Step 401, determine the second electricity meter image of the first electricity meter in the initial state according to the identification information in the first electricity meter data.

[0084] In this embodiment, this embodiment can pre - construct a database for storing the image information of different electricity meter models in the initial state, so as to intuitively identify any changes in the appearance of the electricity meter, such as color fading, physical damage, or structural deformation, by comparing the currently obtained electricity meter image with the electricity meter image in the initial state, further ensuring the accuracy of the electricity meter status evaluation.

[0085] Step 402, perform a comparison process on the target areas in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state.

[0086] In this embodiment, the target areas provided in this embodiment can be key parts such as the electricity meter dial, electricity meter pointer, and electricity meter dial display screen that can evaluate the appearance change of the electricity meter. Optionally, the step of performing a comparison process on the target areas in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state provided in this embodiment can specifically be: perform an identification process on the first electricity meter image to obtain the first feature information of the target area in the first electricity meter image; perform a comparison process on the second feature information of the target area in the second electricity meter image and the first feature information to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state.

[0087] Among them, the feature information includes the glass transmittance of the electricity meter dial, the deflection angle of the electricity meter pointer, and the display defect area of the display screen of the electricity meter dial.

[0088] In addition, to avoid the situation where the display screen of the electricity meter dial is normal but the internal structure, such as the chip, is abnormal, the target area provided in this embodiment may further include the internal chip assembly of the electricity meter. In this way, high-precision image recognition and analysis technologies can be used to carefully inspect the solder joints on the surface of the internal chip assembly of the electricity meter, the integrity of the circuit board, and whether there are short circuits or burnout phenomena.

[0089] Similarly, in order to determine whether there are differences between the first electricity meter image and the electricity meter image of the electricity meter in the initial state, that is, the normal state, this embodiment needs to establish a standard image database to store the detailed image information of the inside and outside of the electricity meter of different electricity meter models in the normal state. In this way, any minor changes, such as the solder joint offset on the chip assembly or the minor crack on the circuit board, can be detected and recorded by comparing with the standard images in this database. In this way, even internal abnormalities that are difficult to visually observe can be accurately detected, thereby improving the early detection rate and repair efficiency of electricity meter failures.

[0090] Step 403, use the appearance difference information as the second state information of the first electricity meter at present.

[0091] After obtaining the appearance difference information, the appearance difference information can be used as the second state information of the first electricity meter at present, so as to facilitate combination with the first state information and the environmental state information determined in the above embodiments to more comprehensively evaluate the current electricity meter state of the electricity meter.

[0092] As an optional embodiment, to ensure the accuracy and comparison efficiency of the comparison process between the first electricity meter image and the second electricity meter image, this embodiment may further perform the following steps before step 402: perform image quality evaluation processing on the first electricity meter image to obtain an evaluation result; when the evaluation result indicates that the first electricity meter image meets the target conditions, return the evaluation result and the corresponding shooting suggestions to the user, and the target conditions include that the image blur exceeds the target threshold and the target area is blocked.

[0093] By performing image quality evaluation processing on the image uploaded by the user, and when the image quality evaluation result does not meet the target conditions, prompting the user to re-acquire the image, and after the user completes re-shooting, performing image quality evaluation again until the requirements are met. In this way, the accuracy of the comparison process is ensured, and reliable second state information of the first electricity meter is generated, providing a solid data basis for the final electricity meter state evaluation.

[0094] Step 104: Based on the first status information, the second status information, and the environmental status information, evaluate the current meter status of the first electric meter to obtain the evaluation result of the current meter status of the first electric meter.

[0095] In this embodiment, an evaluation strategy library can be preset in advance to store various preset evaluation rules and meter status determination logics. Based on these rules, the first status information, the second status information, and the environmental status information can be comprehensively considered to perform multi-dimensional analysis and evaluation on the electric meter. Specifically, in this embodiment, the association patterns and weights among the first status information, the second status information, and the environmental status information can be determined from a large amount of historical data (including the first status information, the second status information, the environmental status information, and the meter status evaluation results of the electric meter) in advance, and then an evaluation model can be constructed. In the evaluation processing stage, the difference score is calculated by matching the evaluation rules in the evaluation strategy library, and the meter status is accurately judged according to the preset evaluation threshold range, such as judging whether there are faults or equipment aging problems with the electric meter. Finally, these evaluation results are provided to maintenance personnel and management personnel to take corresponding maintenance measures or preventive strategies in a timely manner to ensure the stable operation of the electric meter.

[0096] Specifically, the step of evaluating the current meter status of the first electric meter based on the first status information, the second status information, and the environmental status information to obtain the evaluation result of the current meter status of the first electric meter provided in this embodiment can specifically be: According to the identification information in the first electric meter data, obtain the set of weight coefficients corresponding to the first electric meter from the preset evaluation strategy library. The set of weight coefficients includes the first weight coefficient corresponding to the difference information of the electric meter operation data, the second weight coefficient corresponding to the appearance difference information, and the third weight coefficient corresponding to the environmental difference information. The sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; Based on the difference information of the electric meter operation data and the first weight coefficient, the appearance difference information and the second weight coefficient, and the environmental difference information and the third weight coefficient, calculate the difference score of the first electric meter relative to the initial state; Compare the difference score with the preset evaluation threshold range to obtain the evaluation result of the current meter status of the first electric meter. The evaluation threshold range includes a first range, a second range, and a third range. The second range is greater than the first range, and the third range is greater than the second range. The meter status evaluation result includes the normal meter status result corresponding to the first range, the meter status aging result corresponding to the second range, and the abnormal meter status result corresponding to the third range.

[0097] Optionally, after determining that the evaluation result of the electricity meter status is an abnormal result of the electricity meter status, this embodiment can analyze the specific differences between the first status information, the second status information, and the environmental status information and the initial status respectively to identify the specific reasons for the abnormality. For example, if the specific difference between the environmental status information and the initial status is too large, it can indicate that the environment around the first electricity meter is abnormal, such as the temperature and humidity exceeding the normal operating range. At this time, these differences can be recorded, and possible fault modes or potential risks can be mined through data analysis, so as to provide precise problem location and handling suggestions for maintenance personnel, thereby ensuring the stability and safety of the entire power system. Another example is that if the specific difference between the first status information and the initial status is too large, it can indicate that there may be a short circuit or other faults in the internal operating circuit of the electricity meter, and further inspection and repair are required.

[0098] Meanwhile, this embodiment can also adjust the evaluation weights corresponding to the first status information, the second status information, and the environmental status information in the evaluation strategy library based on the first status information, the second status information, and the environmental status information. Specifically, when the difference values represented by the first status information, the second status information, and the environmental status information reach the difference values corresponding to equipment abnormality or equipment aging, the weights of the relevant evaluation rules in the evaluation strategy library can be increased, so as to optimize the accuracy of the evaluation model. For example, if the environmental status information shows long-term exposure to harsh weather conditions, the proportion of the environmental status information in the evaluation process can be increased, so as to more accurately reflect the actual operating conditions and potential risks of the electricity meter. This dynamic adjustment mechanism ensures that the evaluation strategy library can always adapt to different usage scenarios and improves the effectiveness and practicality of the electricity meter status evaluation.

[0099] In addition, this embodiment can also include a feedback mechanism that allows maintenance personnel to mark the evaluation results according to actual maintenance experience, and then continuously optimize the evaluation rules in the evaluation strategy library. Through this cyclic improvement process, the accuracy and reliability of the electricity meter status evaluation are continuously improved.

[0100] In this way, by deeply integrating and analyzing the image data of the electricity meter with the electricity meter operation data and the environmental parameter data, the health status of the electricity meter can be evaluated more comprehensively. In this way, the operation and maintenance team can quickly locate problems and take corresponding measures to ensure that the electricity meter can accurately record power consumption, thereby providing more reliable data support for users and power companies.

[0101] As an alternative embodiment, in order to evaluate the current meter status of the first meter and obtain the evaluation result of the current meter status of the first meter, before the step of evaluating the current meter status of the first meter according to the first status information, the second status information, and the environmental status information to obtain the evaluation result of the current meter status of the first meter, this embodiment may further include: obtaining a training data set of second meters with multiple different identification information, where the training data set includes the to-be-trained parameter information corresponding to each second meter and the meter status evaluation result, and the to-be-trained parameter information includes the first status information, the second status information, and the environmental status information corresponding to the second meter; using the training data set to train the to-be-trained meter status evaluation model until convergence to obtain the meter status evaluation model.

[0102] After obtaining the meter status evaluation model, the step of evaluating the current meter status of the first meter according to the first status information, the second status information, and the environmental status information to obtain the evaluation result of the current meter status of the first meter provided in this embodiment may specifically be: inputting the first status information, the second status information, and the environmental status information into the meter status evaluation model to evaluate the current representative status of the first meter to obtain the current status evaluation result of the first meter, where the status evaluation result includes three statuses: normal, warning, and failure.

[0103] In this way, using the meter status evaluation method with multi-dimensional data fusion and intelligent learning mechanism provided in the embodiments of the present invention will help build a more intelligent and accurate power monitoring system, laying a solid foundation for ensuring the stability and reliability of power supply.

[0104] In summary, the embodiments of the present invention provide a method for evaluating the status of a power metering device. The method includes obtaining the first meter data uploaded by the first meter and the first meter image of the first meter uploaded by the user, determining the first status information of the first meter in the current state according to the first meter data, and determining the environmental status information of the environment where the first meter is currently located according to the first meter data, determining the current second status information of the first meter according to the first meter data and the first meter image, and evaluating the current meter status of the first meter according to the first status information, the second status information, and the environmental status information to obtain the evaluation result of the current meter status of the first meter. Using the present invention can reduce the labor cost required for professional personnel to check the smart meter on-site, and non-professional individual users can also check the operation status of the smart meter by themselves, improving the inspection efficiency of the smart meter.

[0105] According to the method described in the above embodiments, this embodiment will be further described from the perspective of the state evaluation device of the power metering device. The state evaluation device of the power metering device can be specifically implemented as an independent entity or integrated in an electronic device, such as a terminal. The terminal can include a mobile phone, a tablet computer, etc.

[0106] To solve the same technical problem, this embodiment also provides a state evaluation device for a power metering device. Specifically, please refer to Figure 5 , Figure 5 which is a schematic structural diagram of a state evaluation device for a power metering device provided by an embodiment of the present invention. As Figure 5 shown, the state evaluation device 500 for a power metering device provided by an embodiment of the present invention includes: an acquisition module 501, a first determination module 502, a second determination module 503, and an evaluation module 504;

[0107] Among them, the acquisition module 501 is configured to acquire first electric meter data uploaded by a first electric meter and a first electric meter image of the first electric meter uploaded by a user. The first electric meter data includes at least one type of acquisition data acquired by the first electric meter.

[0108] The first determination module 502 is configured to determine first state information of the first electric meter in the current state according to the first electric meter data, and determine environmental state information of the environment where the first electric meter is currently located according to the first electric meter data.

[0109] The second determination module 503 is configured to determine second state information of the first electric meter currently according to the first electric meter data and the first electric meter image.

[0110] The evaluation module 504 is configured to perform an evaluation process on the current electric meter state of the first electric meter according to the first state information, the second state information, and the environmental state information, and obtain an evaluation result of the current electric meter state of the first electric meter.

[0111] In some embodiments, the first determination module 502 provided in this embodiment is specifically configured to: determine a first operation data change curve of the electric meter operation data of the first electric meter in the current state and a second operation data change curve of the electric meter operation data of the first electric meter in the initial state according to the identification information in the first electric meter data and the electric meter operation data within a preset time period. The electric meter operation data includes voltage data and temperature data when the first electric meter operates; perform a comparison process on the first operation data change curve and the second operation data change curve to obtain electric meter operation data difference information of the first electric meter relative to the initial state; and use the electric meter operation data difference information as the first state information of the first electric meter in the current state.

[0112] In some other embodiments, the first determination module 502 provided in this embodiment is further specifically configured to: determine a first environmental change curve of the environment where the first electric meter is located and a second environmental change curve of the standard environment when the first electric meter is in the initial state according to the identification information in the first electric meter data and the environmental parameter data within a preset time period; perform a comparison process on the first environmental change curve and the second environmental change curve to obtain environmental difference information of the current environment of the first electric meter relative to the standard environment in the initial state; and use the environmental difference information as the environmental state information of the current environment where the first electric meter is located.

[0113] As an optional embodiment, the second determination module 503 provided in this embodiment is specifically configured to: determine a second electric meter image of the first electric meter in the initial state according to the identification information in the first electric meter data; perform a comparison process on the target areas in the first electric meter image and the second electric meter image to obtain appearance difference information of the target area in the first electric meter image relative to the initial state; and use the appearance difference information as the second state information of the first electric meter currently.

[0114] Among them, the second determination module 503 provided in this embodiment is further specifically configured to: perform an identification process on the first electric meter image to obtain first feature information of the target area in the first electric meter image; perform a comparison process on the second feature information of the target area in the second electric meter image and the first feature information to obtain appearance difference information of the target area in the first electric meter image relative to the initial state, where the feature information includes the glass transmittance of the electric meter dial, the deflection angle of the electric meter pointer, and the display defect area of the display screen of the electric meter dial.

[0115] In this embodiment, the state evaluation device 500 of the power metering device provided in this embodiment may further include: an image quality detection module, configured to perform an image quality evaluation process on the first electric meter image to obtain an evaluation result; and when the evaluation result indicates that the first electric meter image meets the target conditions, return the evaluation result and the corresponding shooting suggestion to the user, where the target conditions include that the image blur exceeds a target threshold and the target area is blocked.

[0116] In this embodiment, the evaluation module 504 provided in this embodiment is specifically configured to: obtain the set of weight coefficients corresponding to the first electric meter from the preset evaluation strategy library according to the identification information in the first electric meter data. The set of weight coefficients includes the first weight coefficient corresponding to the difference information of the electric meter operation data, the second weight coefficient corresponding to the appearance difference information, and the third weight coefficient corresponding to the environment difference information. The sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; calculate the difference score of the first electric meter relative to the initial state based on the difference information of the electric meter operation data and the first weight coefficient, the appearance difference information and the second weight coefficient, and the environment difference information and the third weight coefficient; compare the difference score with the preset evaluation threshold range to obtain the current evaluation result of the electric meter state of the first electric meter. The evaluation threshold range includes a first range, a second range, and a third range. The second range is greater than the first range, and the third range is greater than the second range. The evaluation result of the electric meter state includes the normal result of the electric meter state corresponding to the first range, the aging result of the electric meter state corresponding to the second range, and the abnormal result of the electric meter state corresponding to the third range.

[0117] In specific implementation, each of the above modules and / or units may be implemented as an independent entity, or may be combined arbitrarily to be implemented as the same or several entities. For the specific implementation of each of the above modules and / or units, please refer to the foregoing method embodiments. For the specific beneficial effects that can be achieved, please also refer to the beneficial effects in the foregoing method embodiments, which will not be elaborated herein.

[0118] In addition, please refer to Figure 6 , Figure 6 which is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. The electronic device may be a mobile terminal such as a smart phone, a tablet computer, or the like. As Figure 6 shown, the electronic device 600 includes a processor 601 and a memory 602. Among them, the processor 601 is electrically connected to the memory 602.

[0119] The processor 601 is the control center of the electronic device 600, connects various parts of the entire electronic device through various interfaces and lines, executes various functions of the electronic device 600 and processes data by running or loading application programs stored in the memory 602 and calling data stored in the memory 602, so as to monitor the entire electronic device 600.

[0120] In this embodiment, the processor 601 in the electronic device 600 loads the instructions corresponding to the processes of one or more application programs into the memory 602 according to the following steps, and the processor 601 runs the application programs stored in the memory 602, so as to implement any step in the state evaluation method of the power metering device provided in the foregoing embodiment.

[0121] The electronic device 600 can implement the steps in any embodiment of the state evaluation method of the power metering device provided in the embodiments of the present invention. Therefore, the beneficial effects achievable by any state evaluation method of the power metering device provided in the embodiments of the present invention can be achieved. For details, please refer to the foregoing embodiments and will not be elaborated herein.

[0122] Please refer to Figure 7 , Figure 7 which is another structural schematic diagram of the electronic device provided in the embodiments of the present invention. As Figure 7 shown, Figure 7 it shows the specific structural block diagram of the electronic device provided in the embodiments of the present invention. The electronic device 700 can be used to implement the state evaluation method of the power metering device provided in the foregoing embodiment. The electronic device 700 can be a mobile terminal such as a smart phone or a laptop computer.

[0123] The RF circuit 710 is used to receive and transmit electromagnetic waves, realizing the mutual conversion between electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices. The RF circuit 710 may include various existing circuit elements for performing these functions. For example, an antenna, a radio frequency transceiver, a digital signal processor, an encryption / decryption chip, a subscriber identity module (SIM) card, a memory, and so on. The RF circuit 710 can communicate with various networks such as the Internet, an enterprise intranet, a wireless network or communicate with other devices through a wireless network. The above-mentioned wireless network may include a cellular phone network, a wireless local area network or a metropolitan area network. The above-mentioned wireless network can use various communication standards, protocols and technologies, including but not limited to Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), Wideband Code Division Multiple Access (WCDMA), Code Division Access (CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (Wi-Fi) (such as Institute of Electrical and Electronics Engineers standards IEEE 802.11a, IEEE 802.11b, IEEE 802.11g and / or IEEE 802.11n), Voice over Internet Protocol (VoIP), Worldwide Interoperability for Microwave Access (Wi-Max), other protocols for email, instant messaging and short messages, and any other suitable communication protocols, and may even include those protocols that have not been developed yet.

[0124] The memory 720 can be used to store software programs and modules, such as the program instructions / modules corresponding to the state evaluation method of the power metering device in the above embodiment. The processor 780 executes various functional applications and the state evaluation of the power metering device by running the software programs and modules stored in the memory 720.

[0125] The memory 720 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 720 may further include a memory remotely located with respect to the processor 780, and these remote memories may be connected to the electronic device 700 through a network. Examples of the above networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0126] The input unit 730 can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls. Specifically, the input unit 730 may include a touch-sensitive surface 731 and other input devices 732. The touch-sensitive surface 731, also known as a touch display screen or a touchpad, can collect touch operations of a user thereon or nearby (such as operations of the user using a finger, a stylus, or any suitable object or accessory on or near the touch-sensitive surface 731), and drive corresponding connection devices according to a pre-set program. Optionally, the touch-sensitive surface 731 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the touch position of the user and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the processor 780, and can receive and execute commands sent by the processor 780. In addition, various types such as resistive, capacitive, infrared, and surface acoustic wave can be used to implement the touch-sensitive surface 731. In addition to the touch-sensitive surface 731, the input unit 730 may further include other input devices 732. Specifically, the other input devices 732 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, etc.

[0127] The display unit 740 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of the electronic device 700. These graphical user interfaces can be composed of graphics, text, icons, videos, and any combination thereof. The display unit 740 may include a display panel 741. Optionally, the display panel 741 can be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), etc. Further, the touch-sensitive surface 731 can cover the display panel 741. When the touch-sensitive surface 731 detects a touch operation on or near it, it is transmitted to the processor 780 to determine the type of touch event. Subsequently, the processor 780 provides a corresponding visual output on the display panel 741 according to the type of touch event. Although in the figure, the touch-sensitive surface 731 and the display panel 741 are implemented as two independent components to achieve input and output functions, in some embodiments, the touch-sensitive surface 731 and the display panel 741 can be integrated to achieve input and output functions.

[0128] The electronic device 700 may further include at least one sensor 750, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor. Among them, the ambient light sensor can adjust the brightness of the display panel 741 according to the brightness of the ambient light, and the proximity sensor can generate an interruption when the flip cover is closed or opened. As a kind of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in all directions (generally three axes). When stationary, it can detect the magnitude and direction of gravity and can be used in applications for identifying the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc. As for other sensors such as gyroscopes, barometers, hygrometers, thermometers, and infrared sensors that the electronic device 700 can also be configured with, they will not be elaborated here.

[0129] The audio circuit 760, the speaker 761, and the microphone 762 can provide an audio interface between the user and the electronic device 700. The audio circuit 760 can transmit the electrical signal converted from the received audio data to the speaker 761, and the speaker 761 converts it into a sound signal for output. On the other hand, the microphone 762 converts the collected sound signal into an electrical signal, which is received by the audio circuit 760 and converted into audio data. Then, after the audio data is output to the processor 780 for processing, it is sent to another terminal, for example, via the RF circuit 710, or the audio data is output to the memory 720 for further processing. The audio circuit 760 may also include an earphone jack to provide communication between the external earphone and the electronic device 700.

[0130] The electronic device 700 can help users receive requests, send information, etc. through a transmission module 770 (such as a Wi-Fi module), which provides users with wireless broadband Internet access. Although the transmission module 770 is shown in the figure, it can be understood that it does not belong to the essential components of the electronic device 700 and can be completely omitted within the scope of not changing the essence of the invention as needed.

[0131] The processor 780 is the control center of the electronic device 700, connecting various parts of the entire mobile phone through various interfaces and circuits. By running or executing software programs and / or modules stored in the memory 720, and calling data stored in the memory 720, it executes various functions of the electronic device 700 and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 780 may include one or more processing cores; in some embodiments, the processor 780 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communications. It can be understood that the above-mentioned modem processor may not be integrated into the processor 780 either.

[0132] The electronic device 700 also includes a power supply 790 (such as a battery) that powers each component. In some embodiments, the power supply can be logically connected to the processor 780 through a power management system, thereby implementing functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 790 may also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0133] Although not shown, the electronic device 700 also includes a camera (such as a front camera, a rear camera), a Bluetooth module, etc., which will not be elaborated here. Specifically, in this embodiment, the display unit of the electronic device is a touch screen display, and the mobile terminal also includes a memory, and one or more programs, where one or more programs are stored in the memory and are configured to be executed by one or more processors to implement any step in the state evaluation method of the power metering device provided in the above embodiment.

[0134] Specifically in implementation, the above-mentioned each module can be implemented as an independent entity, or can be combined arbitrarily to be implemented as the same or several entities. For the specific implementation of the above-mentioned each module, reference can be made to the method embodiments described above, which will not be elaborated here.

[0135] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions or by controlling relevant hardware through instructions. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. For this purpose, an embodiment of the present invention provides a storage medium, which stores multiple instructions. When these instructions are executed by a processor, any step in the state evaluation method of the power metering device provided in the above embodiments can be implemented.

[0136] Among them, the storage medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

[0137] Since the instructions stored in the storage medium can execute the steps in any embodiment of the state evaluation method of the power metering device provided in the embodiments of the present invention, the beneficial effects that can be achieved by any state evaluation method of the power metering device provided in the embodiments of the present invention can be realized. For details, please refer to the previous embodiments and will not be repeated here.

[0138] The above has introduced in detail a state evaluation method, device, equipment and storage medium of a power metering device provided in the embodiments of the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application. And for those of ordinary skill in the technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A method for evaluating the state of an electric power metering device, characterized in that, Including: Obtain the first electricity meter data uploaded by the first electricity meter and the first electricity meter image of the first electricity meter uploaded by the user, where the first electricity meter data includes at least one type of acquisition data collected by the first electricity meter; According to the identification information in the first electricity meter data and the electricity meter operation data within a preset time period, determine the first operation data change curve of the electricity meter operation data of the first electricity meter in the current state and the second operation data change curve of the electricity meter operation data of the first electricity meter in the initial state. The electricity meter operation data includes voltage data and temperature data during the operation of the first electricity meter, and the temperature data is the operation temperature data of the processing chip of the first electricity meter; Perform a comparison process on the first operation data change curve and the second operation data change curve to obtain the electricity meter operation data difference information of the first electricity meter relative to the initial state. The electricity meter operation data difference information is the fluctuation amplitude information of the first operation data change curve relative to the second operation data change curve; Use the electricity meter operation data difference information as the first state information of the first electricity meter in the current state; According to the identification information in the first electricity meter data and the environmental parameter data within a preset time period, determine the first environmental change curve of the environment where the first electricity meter is located and the second environmental change curve of the standard environment when the first electricity meter is in the initial state; Perform a comparison process on the first environmental change curve and the second environmental change curve to obtain the environmental difference information of the current environment of the first electricity meter relative to the standard environment in the initial state. The environmental difference information is the fluctuation amplitude information of the first environmental change curve relative to the second environmental change curve; Use the environmental difference information as the environmental state information of the current environment where the first electricity meter is located; Determine the second state information of the first electricity meter currently according to the first electricity meter data and the first electricity meter image; Perform an evaluation process on the current electricity meter state of the first electricity meter according to the first state information, the second state information, and the environmental state information to obtain the evaluation result of the current electricity meter state of the first electricity meter.

2. The method according to claim 1, characterized in that The step of determining the second state information of the first electricity meter currently according to the first electricity meter data and the first electricity meter image includes: Determine the second electricity meter image of the first electricity meter in the initial state according to the identification information in the first electricity meter data; Perform a comparison process on the target areas in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state; Use the appearance difference information as the second state information of the first electricity meter currently.

3. The method according to claim 2, wherein The step of performing a comparison process on the target areas in the first electricity meter image and the second electricity meter image to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state includes: Perform an identification process on the first electricity meter image to obtain the first feature information of the target area in the first electricity meter image; Compare the second feature information of the target area in the second electricity meter image with the first feature information to obtain the appearance difference information of the target area in the first electricity meter image relative to the initial state. The feature information includes the glass transmittance of the electricity meter dial, the deflection angle of the electricity meter pointer, and the display defect area of the electricity meter dial display screen.

4. The method according to claim 3, wherein Before the step of determining the current second state information of the first electricity meter according to the first electricity meter data and the first electricity meter image, the method further includes: Perform image quality evaluation processing on the first electricity meter image to obtain an evaluation result; When the evaluation result indicates that the first electricity meter image meets the target conditions, return the evaluation result and the corresponding shooting suggestions to the user. The target conditions include that the image blur exceeds the target threshold and the target area is blocked.

5. The method according to claim 4, characterized in that, The step of evaluating the current electricity meter state of the first electricity meter according to the first state information, the second state information, and the environmental state information to obtain the evaluation result of the current electricity meter state of the first electricity meter includes: According to the identification information in the first electricity meter data, obtain the weight coefficient set corresponding to the first electricity meter from the preset evaluation strategy library. The weight coefficient set includes the first weight coefficient corresponding to the electricity meter operation data difference information, the second weight coefficient corresponding to the appearance difference information, and the third weight coefficient corresponding to the environmental difference information. The sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; Based on the electricity meter operation data difference information and the first weight coefficient, the appearance difference information and the second weight coefficient, and the environmental difference information and the third weight coefficient, calculate the difference score of the first electricity meter relative to the initial state; Compare the difference score with the preset evaluation threshold range to obtain the evaluation result of the current electricity meter state of the first electricity meter. The evaluation threshold range includes a first range, a second range, and a third range. The second range is greater than the first range, and the third range is greater than the second range. The electricity meter state evaluation result includes the electricity meter state normal result corresponding to the first range, the electricity meter state aging result corresponding to the second range, and the electricity meter state abnormal result corresponding to the third range.

6. A state evaluation device for an electric power metering device, characterized in that, Includes: An acquisition module, configured to acquire the first electricity meter data uploaded by the first electricity meter and the first electricity meter image of the first electricity meter uploaded by the user. The first electricity meter data includes at least one type of acquisition data collected by the first electricity meter; A first determination module, configured to determine, according to the identification information in the first electric meter data and the electric meter operation data within a preset time period, a first operation data change curve of the electric meter operation data of the first electric meter in the current state, and a second operation data change curve of the electric meter operation data of the first electric meter in the initial state, where the electric meter operation data includes voltage data and temperature data during the operation of the first electric meter, and the temperature data is the operation temperature data of the processing chip of the first electric meter; perform a comparison process on the first operation data change curve and the second operation data change curve to obtain the electric meter operation data difference information of the first electric meter relative to the initial state, where the electric meter operation data difference information is the fluctuation amplitude information of the first operation data change curve relative to the second operation data change curve; use the electric meter operation data difference information as the first state information of the first electric meter in the current state; determine, according to the identification information in the first electric meter data and the environmental parameter data within a preset time period, a first environmental change curve of the environment where the first electric meter is located, and a second environmental change curve of the standard environment when the first electric meter is in the initial state; perform a comparison process on the first environmental change curve and the second environmental change curve to obtain the environmental difference information of the current environment of the first electric meter relative to the standard environment in the initial state, where the environmental difference information is the fluctuation amplitude information of the first environmental change curve relative to the second environmental change curve; use the environmental difference information as the environmental state information of the first electric meter in the current environment. A second determination module, configured to determine the second state information of the first electric meter currently according to the first electric meter data and the first electric meter image. An evaluation module, configured to perform an evaluation process on the current electric meter state of the first electric meter according to the first state information, the second state information, and the environmental state information, to obtain the evaluation result of the current electric meter state of the first electric meter.

7. An electronic device, characterized in that, The electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 5 are implemented.

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