Intelligent visual detection method and system for electric energy meter

Abstract

The invention relates to the technical field of electric energy meter full-automatic verification assembly lines, and discloses an electric energy meter intelligent visual detection method and system, and the method comprises the steps: monitoring the in-place state of a full-compatible tray in real time, and automatically adjusting the full-compatible tray to the optimal recognition height; a high-precision positioning device is used for accurately positioning the tray; the control system starts the compatible wire connecting and disconnecting mechanism, completes wire connection with the electric energy meter, triggers the electric measurement system to power on the electric energy meter, and lightens the liquid crystal screen; a space attention mechanism is introduced, automatic textbox recognition is carried out, an obtained image is detected through a detection model and compared with a standard template, and the qualification of the electric energy meter is judged; and the electrical testing system is powered off and performs self-inspection, the tray is reset and released, and appearance inspection of the electric energy meter is completed. The method is reasonable in design, simple in assembly, easy to debug, stable in operation, high in recognition speed and high in accuracy, the economic cost can be reduced, and the utilization rate of a special machine is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fully automatic verification production lines for electricity meters, and particularly to an intelligent vision detection method and system for electricity meters. Background Art

[0002] With the rapid development of industrial automation and intelligent manufacturing, the production and quality inspection of electricity meters are gradually shifting towards intelligence and automation. Traditional electricity meters usually rely on manual inspection, and the inspection process is not only cumbersome but also easily affected by human factors, resulting in a decline in detection efficiency and result quality. In recent years, intelligent detection methods for electricity meters based on computer vision and machine learning technologies have gradually been applied, realizing the integration of functions such as image recognition and data analysis. These technologies automatically detect the appearance and character information of electricity meters through a multi-camera system and a deep learning model, greatly improving production efficiency and detection accuracy. However, there are still some deficiencies in the existing technologies in practical applications. For example, when facing complex environments and diverse electricity meter shapes, traditional detection systems have insufficient accurate positioning and recognition capabilities, easily resulting in misjudgments and missed detections, leading to the outflow of qualified products. In addition, it is not closely combined with the electrical testing of electricity meters, often causing information barriers in the inspection link, unable to achieve a comprehensive assessment of the state of electricity meters, and increasing the difficulty of subsequent maintenance.

[0003] In addition, most existing intelligent vision detection systems lack real-time dynamic adjustment capabilities, making it difficult to respond promptly when changes occur during the detection process. For the positioning and height adjustment of trays, although some systems have introduced laser sensors, they still face problems such as inaccurate ranging and data processing delays in complex production environments, resulting in an extended detection cycle. More importantly, the current detection methods for electricity meters often collect and process data independently, lacking an effective self-check mechanism and unable to quickly discover potential problems within the system, reducing the reliability and flexibility of the production system. These deficiencies significantly affect the production quality and efficiency of electricity meters, and there is an urgent need for a new detection method to achieve more efficient and accurate detection of electricity meters. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an intelligent vision detection method for electricity meters, which can solve the deficiencies of the existing technologies in terms of real-time performance, accuracy, and intelligence, not only improving the quality control level of electricity meters but also providing a solid foundation for the popularization and application of smart grids.

[0006] To solve the above technical problems, the present invention provides the following technical solutions. An intelligent visual detection method for an electric energy meter includes: real-time monitoring of the in-place state of a fully compatible tray and automatically adjusting it to the optimal recognition height; precise positioning of the tray using a high-precision positioning device; the control system starting a compatible wire connection and disconnection mechanism to complete the wiring with the electric energy meter, triggering the electrical measurement system to power on the electric energy meter and light up the liquid crystal display screen; introducing a spatial attention mechanism for automatic text box recognition, detecting the acquired image through a detection model, and comparing it with a standard template to determine the qualification of the electric energy meter; the electrical measurement system powers off and self-checks, the tray resets and is released, and the appearance inspection of the electric energy meter is completed.

[0007] As a preferred solution of the intelligent visual detection method for an electric energy meter described in the present invention, wherein: the real-time monitoring of the in-place state of the fully compatible tray includes that when the tray enters the detection area, the laser sensor starts to scan the height of the tray and transmits the real-time data to the control system. The control system processes the data to determine whether the tray reaches the preset height. If not, the air cylinder is automatically adjusted to gradually raise the tray, and the scanning is repeated until the standard height is reached;

[0008] After the laser sensor confirms that the tray reaches the target height, the multi-dimensional vision-guided camera takes a real-time image of the current tray and compares it with the preset template, calculates the displacement vector of the tray in real time, and controls the servo motor to automatically adjust the position of the tray until it is completely aligned with the target position.

[0009] As a preferred solution of the intelligent visual detection method for an electric energy meter described in the present invention, wherein: triggering the electrical measurement system to power on the electric energy meter includes that after the wiring is completed, monitoring the current passing through the connecting wire, analyzing the current waveform in real time, and comparing it with the current waveform in the normal working state; if the current is abnormal, the system automatically triggers an alarm and will display the corresponding fault information through a visual interface;

[0010] In the power-on process, an intelligent sequential control mechanism is adopted to gradually power on in a predetermined order. First, connect the power supply and monitor the voltage stability, then connect each functional module in turn. The power-on time interval is automatically adjusted by the system. After the wiring is completed, the control system first starts a preliminary detection program to judge the wiring state and confirm or correct any abnormalities. After all modules are successfully started, an overall self-check is performed.

[0011] As a preferred solution of the intelligent visual detection method for an electric energy meter described in the present invention, wherein: the automatic text box recognition includes collecting the image data of the electric energy meter and annotating the text box area;

[0012] Using the optimized CRAFT model, the output layer only contains a heat map H, and the generation of the heat map H is expressed as:

[0013] H = f CRAFT (I)

[0014] Where I is the input image, and f CRAFT represents the modified CRAFT model;

[0015] For the heat map H, use threshold segmentation to obtain the potential text region and output the binary mask M:

[0016]

[0017] Where T is the set threshold.

[0018] As a preferred solution of an intelligent visual detection method for an electric energy meter according to the present invention, wherein: the detection model includes using a multi-camera system to capture a full-tray image of the electric energy meter to obtain an image containing multiple electric energy meters, and using a trained detection model to process each cropped image E i to output the heat map H of the detection result i :

[0019] H i = f detect (E i )

[0020] Where f detect is the trained detection model;

[0021] For the heat map H i , determine the existence of characters through the threshold T i :

[0022]

[0023] Where C i,j is the character identification detected at a certain coordinate.

[0024] As a preferred solution of an intelligent visual detection method for an electric energy meter according to the present invention, wherein: judging the qualification of the electric energy meter includes detecting through the detection model. When there is a situation of character loss or character missing strokes, automatically identify and determine that the electric energy meter is unqualified; when all characters are recognized as qualified, it will be determined that the electric meter is qualified;

[0025] Count the character recognition results to obtain the number of character regions R c :

[0026]

[0027] In the process of the system determining unqualified, there are the following bases:

[0028] Judge whether the recognized characters meet the quantity requirement N min :

[0029] ifR c <N min : Marked as unqualified

[0030] According to the integrity of the characters, if it is judged that there are missing or incomplete drawings based on the output result of the heat map, it is determined as unqualified;

[0031] By synthesizing the results of the above detection models, the final determination is obtained:

[0032]

[0033] As a preferred solution of an intelligent vision detection method for an electric energy meter according to the present invention, wherein: the completion of the appearance inspection of the electric energy meter includes, after receiving the signal of completing the task, starting the power-off procedure, first cutting off the non-critical load, and then gradually disconnecting the power supply of the critical module after the current is stable. After all modules are powered off, the system enters the self-check state;

[0034] When the self-check report confirms that everything is normal, a reset command is sent, and the tray automatically descends to the initial position through the servo motor system. Once the tray is reset in place, the control system locks the current position. After the reset is completed, a command is sent to the release control unit to confirm the tray that needs to be released for operation;

[0035] After the tray is released, the system generates an appearance inspection report, including the status analysis of each electric energy meter, and at the same time records the image for archiving.

[0036] As a preferred solution of an intelligent vision detection system for an electric energy meter according to the present invention, wherein: it includes an electrical control module, a positioning control module, an image acquisition and processing module, a detection and judgment module, an electrical measurement control module, and a self-check feedback module;

[0037] The electrical control module is responsible for the coordination and control of the overall system, including the actions of the cylinder, the reception and feedback of signals;

[0038] The positioning control module focuses on the precise positioning of the compatible tray, uses a high-precision sensor to (real-time monitor the position of the tray, and combines with the electrical control module to automatically adjust the height and position of the tray by using an intelligent algorithm;

[0039] The image acquisition and processing module performs a comprehensive image acquisition of the electric energy meter through a multi-camera system, and supports multi-angle shooting to obtain more comprehensive data;

[0040] The detection and judgment module uses an optimized and trained detection model to perform character detection on the cropped electric energy meter image, analyzes the heat map and introduces a deep learning algorithm; for the situation of character missing or incomplete drawing, a dynamic threshold is set, the judgment rule is adjusted according to the real-time feedback, and at the same time a detailed judgment report is generated to provide a clear basis for qualified and unqualified;

[0041] The electrical measurement control module is responsible for the power-on, power-off, and self-check functions of the electric energy meter, and includes power status monitoring. It adopts an intelligent sequential control mechanism to accurately control the wire-disconnecting action after completing the appearance inspection.

[0042] The self-check feedback module regularly conducts system self-checks and status evaluations, and generates detailed self-check reports.

[0043] A computer device includes a memory and a processor. The memory stores a computer program. The feature is that when the processor executes the computer program, it implements the steps of an intelligent vision detection method for an electric energy meter.

[0044] A computer-readable storage medium stores a computer program. The feature is that when the computer program is executed by a processor, it implements the steps of an intelligent vision detection method for an electric energy meter.

[0045] Advantages of the present invention: In terms of real-time monitoring of the tray in-place state and height adjustment, higher-precision positioning is achieved. Combining high-precision sensors and intelligent algorithms not only ensures the stability and accuracy of the tray but also can automatically adjust to the optimal recognition height. In addition, an advanced spatial attention mechanism is used for automatic text box recognition, combined with a deep learning detection model, which improves the recognition accuracy of the characters on the electric energy meter and can effectively determine the qualification of the electric energy meter. Furthermore, the self-check feedback module of the present invention can regularly conduct a comprehensive evaluation of the system status, ensure the normal operation of the system, and promptly discover and handle abnormal situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. Among them:

[0047] Figure 1 It is a schematic flowchart of an intelligent vision detection method for an electric energy meter provided by an embodiment of the present invention.

[0048] Figure 2 It is a schematic diagram of the working modules of an intelligent vision detection system for an electric energy meter provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following will describe the specific embodiments of the present invention in detail with reference to the accompanying drawings of the specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present invention.

[0050] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0051] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is separate or selectively mutually exclusive with other embodiments.

[0052] The present invention will be described in detail in conjunction with schematic diagrams. When detailing the embodiments of the present invention, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally in a non-general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0053] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationships indicated by terms such as "upper, lower, inner, and outer" are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0054] Unless otherwise clearly defined and limited in the present invention, the terms "installation, connection, and coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] Example 1, referring to Figure 1 , which is the first embodiment of the present invention. This embodiment provides an intelligent vision detection method for an electric energy meter, including:

[0056] S1: Monitor the in-place status of the fully compatible tray in real time and automatically adjust it to the optimal recognition height.

[0057] Furthermore, when the tray enters the detection area, the laser sensor starts to scan the height of the tray and transmits the real-time data to the control system. The control system processes the data to determine whether the tray has reached the preset height. If not, the cylinder is automatically adjusted to gradually raise the tray, and the scanning is repeated until the standard height is reached.

[0058] After the laser sensor confirms that the tray has reached the target height, it takes a real-time image of the current tray through the multi-dimensional vision-guided camera and compares it with the preset template, calculates the displacement vector of the tray in real time, and controls the servo motor to automatically adjust the position of the tray until it is completely aligned with the target position.

[0059] S2: Use a high-precision positioning device to accurately position the tray; the control system starts the compatible wire connecting and disconnecting mechanism, completes the wiring with the electricity meter, and triggers the electro-measurement system to power on the electricity meter and light up the liquid crystal display screen.

[0060] Furthermore, after the wiring is completed, monitor the current passing through the connecting wire, analyze the current waveform in real time, and compare it with the current waveform in the normal working state; if the current is abnormal, the system automatically triggers an alarm and displays the corresponding fault information through the visual interface.

[0061] In the power-on process, an intelligent sequence control mechanism is adopted to power on step by step according to the predetermined sequence. First, connect the power supply and monitor the voltage stability, then connect each functional module in turn. The power-on time interval is automatically adjusted by the system. After the wiring is completed, the control system first starts the preliminary detection program to judge the wiring status and confirm or correct any abnormalities. After all modules are successfully started, an overall self-check is performed to ensure there are no errors.

[0062] S3: Introduce a spatial attention mechanism to perform automatic text box recognition. Detect the acquired image through the detection model and compare it with the standard template to judge the qualification of the electricity meter.

[0063] Furthermore, collect the image data of the electricity meter and label the text box area.

[0064] Using the optimized CRAFT model, the output layer only contains a heat map H, and the generation of the heat map H is expressed as:

[0065] H = f CRAFT (I)

[0066] where I is the input image, and f CRAFT represents the modified CRAFT model.

[0067] For the heat map H, threshold segmentation is used to obtain potential text regions and a binary mask M is output:

[0068]

[0069] where T is the set threshold.

[0070] A spatial attention mechanism SA is introduced, and its calculation is weighted according to the heat map, enabling the model to focus on key regions. The spatial attention output can be expressed as:

[0071] SA = σ(W sa ·H)

[0072] where, W sa is a learning parameter, and σ represents the Sigmoid activation function.

[0073] In addition, subsequent traditional image processing is optimized, and a region area screening mechanism is added. The entire model is fine-tuned on the PyTorch framework to train a model with better performance. Inference is performed using C++ and deployed on-site to improve the efficiency of the inference process.

[0074] Furthermore, a multi-camera system is used to capture the full-tray image of the electricity meter, obtaining an image containing multiple electricity meters. For each electricity meter, pixel distribution analysis is used to determine the region bounding box R(x, y, w, h), where x and y are the upper-left coordinates, w is the width, and h is the height. The cropped electricity meter image E i is:

[0075] E i = I[x:x+w, y:y+h]

[0076] where, I[x:x+w, y:y+h] is the region extracted from the input image I through the bounding box.

[0077] Each cropped image E i is processed using the trained detection model, and the heat map H i of the detection result is output:

[0078] H i = f detect (E i )

[0079] where, f detect is the trained detection model;

[0080] For the heat map H i , the existence of characters is determined through the threshold T i :

[0081]

[0082] Among them, C i,j is the character identifier detected at a certain coordinate.

[0083] Furthermore, through the detection by the detection model, when there is a situation of character loss or character omission, it automatically identifies and determines that the electric energy meter is unqualified; when all characters are recognized as qualified, it will judge that the electric meter is qualified;

[0084] Statistical character recognition results to obtain the quantity of the character area R c :

[0085]

[0086] During the process of the system determining unqualified, there are the following bases:

[0087] Judge whether the recognized characters meet the quantity requirement N min :

[0088] if R c <N min : Marked as unqualified

[0089] According to the integrity of the characters, if it is judged that there is a missing or incomplete drawing based on the output result of the heat map, it is determined as unqualified;

[0090] By synthesizing the results of the above detection models, the final determination is obtained:

[0091]

[0092] S4: The electrical measurement system is powered off and self - tested, the tray is reset and released, and the appearance inspection of the electric energy meter is completed.

[0093] Furthermore, after receiving the signal of completing the task, start the power - off program. First, cut off the non - critical load, and then gradually cut off the power of the critical module after the current is stable. After all modules are powered off, the system enters the self - test state:

[0094] Detect the integrity of the circuit through the firmware to confirm that no short - circuit or other problems occur.

[0095] Record the state before power - off, ensure that relevant data is automatically recorded, including any error codes or status information. Generate a self - test report and display the report to the operator through the control panel or system interface. If a critical error is found, trigger an alarm and stop the subsequent process.

[0096] After the self-check report confirms that everything is normal, a reset command is sent, and the tray automatically descends to the initial position through the servo motor system. Once the tray is in place, the control system locks the current position. After the reset is completed, a command is sent to the release control unit to confirm the tray that needs to be released for operation.

[0097] After the tray is released, the system generates an appearance inspection report, including the status analysis of each electricity meter, and at the same time records the image for archiving.

[0098] Embodiment 2, the second embodiment of the present invention, which is different from the previous embodiment in that:

[0099] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0100] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0101] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connections (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0102] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0103] Example 3, referring to Figure 2 , which is an embodiment of the present invention, provides an intelligent vision detection system for an electric energy meter, characterized in that it includes an electrical control module 1, a positioning control module 2, an image acquisition and processing module 3, a detection and judgment module 4, an electrical measurement control module 5, and a self-check feedback module 6;

[0104] The electrical control module 1 is responsible for the coordination and control of the overall system, including the actions of the cylinders, the reception and feedback of signals;

[0105] The positioning control module 2 focuses on the precise positioning of the compatible tray, uses a high-precision sensor to monitor the position of the tray in real time, and combines with the electrical control module to automatically adjust the height and position of the tray using an intelligent algorithm;

[0106] The image acquisition and processing module 3 performs comprehensive image acquisition of the electric energy meter through a multi-camera system, supporting multi-angle shooting to obtain more comprehensive data;

[0107] The detection and judgment module 4 uses an optimized and trained detection model to perform character detection on the cropped image of the electric energy meter, analyzes the heat map and introduces a deep learning algorithm; for the situation of character missing or incomplete drawing, a dynamic threshold is set, the judgment rule is adjusted according to real-time feedback, and at the same time a detailed judgment report is generated, providing a clear basis for qualified and unqualified;

[0108] The electrical measurement control module 5 is responsible for the power-on, power-off, and self-check functions of the electricity meter, and includes power status monitoring. It adopts an intelligent sequential control mechanism to precisely control the wire-disconnecting action after the appearance inspection is completed.

[0109] The self-check feedback module 6 regularly conducts system self-checks and status evaluations, and generates detailed self-check reports.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An intelligent visual inspection method for electric energy meters, characterized in that: Including Real-time monitor the in-place status of the fully compatible tray and automatically adjust it to the optimal recognition height; Use a high-precision positioning device for precise positioning of the tray; The control system activates the compatible connection and disconnection mechanism, completes the wiring with the electricity meter, and triggers the electrical measurement system to power on the electricity meter and light up the liquid crystal display; Introduce a spatial attention mechanism for automatic text box recognition, detect the acquired image through a detection model, and compare it with a standard template to determine the qualification of the electricity meter; The electrical measurement system powers off and self-checks, the tray resets and is released, and the appearance inspection of the electricity meter is completed.

2. The intelligent vision detection method for an electric energy meter according to claim 1, characterized in that: The real-time monitoring of the in-place status of the fully compatible tray includes that when the tray enters the detection area, the laser sensor starts to scan the height of the tray and transmits the real-time data to the control system. The control system processes the data to determine whether the tray reaches the preset height. If not, the cylinder is automatically adjusted to gradually raise the tray, and the scanning is repeated until the standard height is reached; After the laser sensor confirms that the tray reaches the target height, it takes a real-time image of the current tray through a multi-dimensional vision-guided camera, compares it with a preset template, calculates the displacement vector of the tray in real time, and controls the servo motor to automatically adjust the position of the tray until it is completely aligned with the target position.

3. The intelligent vision detection method for an electric energy meter according to claim 2, characterized in that: The triggering of the electrical measurement system to power on the electricity meter includes that after the wiring is completed, the current passing through the connecting wire is monitored, the current waveform is analyzed in real time, and compared with the current waveform in the normal working state; If the current is abnormal, the system automatically triggers an alarm and will display the corresponding fault information through a visual interface; In the power-on process, an intelligent sequential control mechanism is adopted to gradually power on in a predetermined order. First, connect the power supply and monitor the voltage stability, then connect each functional module in turn. The power-on time interval is automatically adjusted by the system. After the wiring is completed, the control system first starts the preliminary detection program to judge the wiring status and confirm or correct any abnormalities. After all modules are successfully started, an overall self-check is performed.

4. The intelligent vision detection method for an electric energy meter according to claim 3, characterized in that: The automatic text box recognition includes collecting image data of the electricity meter and annotating the text box area; Using the optimized CRAFT model, the output layer only contains a heat map H. For the heat map H, threshold segmentation is used to obtain potential text areas and a binary mask is output.

5. The intelligent visual inspection method for an electric energy meter according to claim 4, characterized in that: The detection model includes using a multi-camera system to capture a full-tray image of the electricity meter to obtain an image containing the electricity meter, and using the trained detection model to process each cropped image E i to output a heat map H of the detection result i , and determining the existence of characters through a threshold T i .

6. The intelligent vision detection method for an electric energy meter according to claim 5, characterized in that: The judgment of the qualification of the electricity meter includes detecting through a detection model. When there is a situation of missing characters or missing strokes of characters, it is automatically recognized and determined that the electricity meter is unqualified; when all characters are recognized as qualified, the electricity meter will be judged as qualified; Statistically recognize the character results to obtain the character region R c quantity of: In the process of the system judging unqualified, there are the following bases: Determine whether the recognized characters meet the quantity requirement N min : ifR c <N min : Marked as unqualified According to the integrity of the characters, if it is judged that there are missing or missing strokes according to the output result of the heat map, it is judged as unqualified; Through synthesizing the results of the above detection models, the final judgment is obtained:

7. The intelligent visual inspection method for an electric energy meter according to claim 6, characterized in that: The completion of the appearance inspection of the electricity meter includes that after receiving the signal to complete the task, the power-off program is started. First, the non-critical load is cut off, and then the power supply of the key module is gradually disconnected after the current is stable. After all modules are powered off, the system enters the self-check state; After the self-check report confirms that everything is normal, a reset command is sent, and the tray automatically descends to the initial position through the servo motor system. Once the tray is in place after reset, the control system locks the current position. After the reset is completed, a command is sent to the release control unit to confirm the tray that needs to be released for operation. After the tray is released, the system generates an appearance inspection report, including the status analysis of each electricity meter, and at the same time records the image for archiving.

8. A system adopting an intelligent vision detection method for an electric energy meter as described in any one of claims 1 to 7, characterized in that: It includes an electrical control module, a positioning control module, an image acquisition and processing module, a detection and judgment module, an electrical measurement control module, and a self-check feedback module; The electrical control module is responsible for the coordination and control of the overall system, including the actions of the cylinders, the reception and feedback of signals; The positioning control module focuses on the precise positioning of the compatible tray. It uses high-precision sensors to monitor the position of the tray in real time. Combining with the electrical control module, it automatically adjusts the height and position of the tray using intelligent algorithms; The image acquisition and processing module comprehensively acquires images of electricity meters through a multi-camera system, supporting multi-angle shooting to obtain more comprehensive data; The detection and judgment module uses an optimized and trained detection model to perform character detection on the cropped electricity meter images, analyzes the heat map and introduces deep learning algorithms; for the situation of missing characters or missing strokes, a dynamic threshold is set, and the judgment rules are adjusted according to real-time feedback. At the same time, a detailed judgment report is generated, providing clear basis for qualified and unqualified; The electrical measurement control module is responsible for the power-on, power-off and self-check functions of the electricity meter, and includes power status monitoring. It adopts an intelligent sequential control mechanism to precisely control the wire-disconnecting action after the appearance inspection is completed; The self-check feedback module regularly conducts system self-checks and status evaluations, and generates detailed self-check reports.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 7.

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