Disassembled electric energy meter sorting system and sorting method
By designing and disassembling the power meter sorting system, using the image analysis module and the automated processing of the industrial control host, the inefficiency problem caused by artificial dependence in the existing technology is solved, and efficient automatic sorting is achieved.
Patent Information
- Application Number
- CN202411917824.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-03-28
AI Technical Summary
The existing dismantling and power meter sorting system requires manual labor and low automation, resulting in low efficiency in dismantling and power meter sorting.
A disassembled power meter sorting system is designed, including a bull eye ball conveyor, an industrial control host, a camera, a code reader, an image analysis module and a display module. The image analysis module is used to automatically detect surface defects, and the industrial control host automatically determines the processing results based on the identification information of the power meter.
Automatic sorting of dismantling the power meter is realized, improving sorting efficiency, and the entire process is automatically run without manual intervention.
Smart Images

Figure CN119715595A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of post-maintenance of electric energy meters, and more particularly to a disassembled electric energy meter sorting system and a sorting method. Background Art
[0002] With the rapid development of the power industry, the number of waste electricity meters is increasing. These waste electricity meters may contain various harmful substances. If they are not properly handled, they will cause serious pollution to the environment. By dismantling and sorting the waste electricity meters, the useful parts in the waste electricity meters can be recycled, reducing resource waste and avoiding environmental pollution. In addition, dismantling and sorting the waste electricity meters helps save costs. Through sorting and testing, the electricity meters that can still be used can be put back into use, reducing the cost of purchasing new equipment.
[0003] However, the inventors have found that the existing sorting system for dismantled and returned electricity meters needs to rely on manual labor, and the efficiency of sorting the dismantled and returned electricity meters is low from the perspective of automation. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a dismantled and returned electric energy meter sorting system and a sorting method to improve the sorting efficiency of the dismantled and returned electric energy meters.
[0005] The present invention solves the above technical problems through the following technical solutions: The present invention provides a disassembled electric energy meter sorting system, the system comprising: a bull's eye ball conveyor, an industrial control host, and a camera, a code reader, a communication module, an image analysis module and a display module respectively connected to the industrial control host for communication, wherein: The bull's eye ball conveyor is used to convey the disassembled electric energy meter to the shooting range of the camera; The photoelectric sensor is used to sense when the disassembled energy meter enters the shooting range of the camera and sends a control signal to the industrial control host; The camera is used to obtain image data of the disassembled electric energy meter under the control of the industrial control host, and send the image data to the image analysis module so that the image analysis module performs surface defect detection on the disassembled electric energy meter; The code reader is used to identify the identification information of the disassembled electric energy meter and send the identification information to the industrial control host; The industrial control host is used to obtain the surface defect detection result returned by the image analysis module, obtain the corresponding process information from the communication module according to the identification information, and determine the processing result of the disassembled electric energy meter according to the identification information and the process information, or according to the identification information, the surface defect detection result and the process information; A communication module is used to execute corresponding communication instructions under the control of the industrial control host; The display module is used to display the processing results under the control of the industrial control host.
[0006] Optionally, the system further includes: a lighting module for providing fill light to the camera.
[0007] Optionally, the method comprises: When sensing that the disassembled electric energy meter enters the shooting range of the camera, a control signal is sent to the industrial control host so that the camera acquires image data of the disassembled electric energy meter; using an image recognition algorithm to identify surface defects corresponding to the disassembled electric energy meter from the image data, wherein the surface defects include: one or a combination of surface scratches, damage, and panel missing; Obtain identification information of the returned electric energy meter, obtain corresponding process information according to the identification information, determine a processing result of the returned electric energy meter according to the identification information and the process information, and display the processing result.
[0008] Optionally, the step of acquiring image data of the disassembled electric energy meter includes: Acquire a plurality of images of the disassembled electric energy meter, and perform image correction and color extraction on each of the plurality of images to obtain a processed image; According to each processed image, and according to the preset template image of the electric energy meter, using the image similarity algorithm to compare the similarity between the electric energy meter obtained and removed in each processed image and the template image of the electric energy meter; When the similarity is lower than the preset threshold, a fill light instruction is sent to the lighting module to make the lighting module emit light, and the process of obtaining a plurality of images of the disassembled electric energy meter is returned until the similarity between the disassembled electric energy meter and the template image of the electric energy meter is greater than or equal to the preset threshold; Each image of the recovered electric energy meter having a similarity with the electric energy meter template image greater than or equal to a preset threshold is used as image data of the recovered electric energy meter.
[0009] Optionally, obtain identification information of the removed electric energy meter, including: Obtain barcode data of the returned electric energy meter, and recognize the text logo of the returned electric energy meter from the image data of the returned electric energy meter using an OCR algorithm; Determine whether the barcode data and the text label correspond to the same disassembled electric energy meter. If so, use the barcode data or the text label as identification information of the disassembled electric energy meter; if not, output an identification error alarm.
[0010] Optionally, determining a processing result of the removed electric energy meter according to the identification information and the process information includes: According to the identification information, corresponding business process information is obtained from the business system, and the filing field is identified from the business process information; Based on the information stored in the archive field, determine whether the business process information has been archived; If yes, display the archived information; if no, output an unarchived warning.
[0011] Optionally, determining a processing result of the disassembled electric energy meter according to the identification information, the surface defect detection result and the process information includes: Determine the corresponding business process information according to the identification information, and extract each first representation field contained in the business process information, wherein the first representation field includes: one or a combination of the hardware version of the disassembled electric energy meter and the disassembly time; Classifying the surface defect detection results according to the surface defect detection results and a preset classification standard to obtain surface defect level information, and adding the surface defect level information to the first representation field; According to the correspondence between the first characterization field and each processing method, the processing results of the removed electric energy meter are screened out from the processing methods, wherein the processing methods include: one or a combination of provincial center return and local scrapping.
[0012] Optionally, determining a processing result of the removed electric energy meter according to the identification information and the process information includes: Determine the corresponding business process information according to the identification information, and extract each second representation field contained in the business process information, wherein the second representation field includes: one or a combination of: wiring method in the turnover box, hardware version, dismantling and disposal method, identification information of the turnover box, and scrapping verification information; The returned electric energy meter is subjected to consistency check according to the first characterization field. After the check is passed, the identification information of the returned electric energy meter is bound with the identification information of the turnover box, and the binding result is synchronized to the business system.
[0013] Optionally, determining a processing result of the removed electric energy meter according to the identification information and the process information includes: Determine the corresponding business process information according to the identification information, and extract the removal time information contained in the business process information; According to the removal time information, searching in each storage location for a stored electric energy meter that is closest to the removal time information; Based on the location of the stored electric energy meter, find out the blank storage space closest to the stored electric energy meter, bind the number information of the blank storage space with the identification information of the removed electric energy meter, and synchronize the binding result to the business system.
[0014] Optionally, displaying the processing result includes: displaying the processing result using one or a combination of voice, text, and light.
[0015] Compared with the prior art, the present invention has the following advantages: The present invention performs automatic surface defect detection by utilizing an image analysis module. Meanwhile, the industrial control host automatically determines the corresponding processing result according to the identification information of the electric energy meter. The identification information and the surface defect detection result can also be associated to automatically determine the corresponding processing result. There is no need to rely on the intermediate process of manual access sorting. The result is directly outputted and the whole process is automated, thereby improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 A schematic diagram of the architecture of a disassembled electric energy meter sorting system provided by an embodiment of the present invention; Figure 2 Another schematic diagram of the architecture of a disassembled electric energy meter sorting system provided by an embodiment of the present invention; Figure 3 A schematic diagram of a process for sorting a disassembled electric energy meter provided by an embodiment of the present invention; Figure 4 Another schematic diagram of a flow chart of a method for sorting a disassembled electric energy meter provided by an embodiment of the present invention; Figure 5 A schematic diagram of the principle of image processing in a method for sorting disassembled electric energy meters provided by an embodiment of the present invention; Figure 6 A schematic diagram of defects of a returned electric energy meter screened out by a method for sorting returned electric energy meters provided in an embodiment of the invention; Figure 7 A schematic diagram of another flow chart of a method for sorting dismantled electric energy meters provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0017] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment. Example
[0018] Figure 1 A schematic diagram of the architecture of a disassembled electric energy meter sorting system provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the system includes: an industrial control host 10, and a camera 20, a bull's eye ball conveyor 100, a code reader 40, a communication module 70, an image analysis module 50 and a display module 60 respectively connected to the industrial control host 10 for communication, wherein: The bull's eye ball conveyor 100 is used to carry a turnover box, in which the disassembled electric energy meter is placed, and then the disassembled electric energy meter in the turnover box is conveyed to the shooting range of the camera 20 by manual or pushing equipment; The photoelectric sensor 30 is used to sense when the disassembled electric energy meter enters the shooting range of the camera 20, and sends a control signal to the industrial control host 10; The camera 20 is used to obtain image data of the disassembled electric energy meter under the control of the industrial control host 10, and send the image data to the image analysis module 50, so that the image analysis module 50 performs surface defect detection on the disassembled electric energy meter; The code reader 40 is used to identify the identification information of the disassembled electric energy meter and send the identification information to the industrial control host 10; The industrial control host 10 is used to obtain the surface defect detection result returned by the image analysis module 50, obtain the corresponding process information from the communication module 70 according to the identification information, and determine the processing result of the disassembled electric energy meter according to the identification information and the process information, or according to the identification information, the surface defect detection result and the process information; The communication module 70 is used to execute corresponding communication instructions under the control of the industrial control host 10; The display module 60 is used to display the processing result under the control of the industrial control host 10 .
[0019] Figure 2 Another schematic diagram of the architecture of a disassembled electric energy meter sorting system provided by an embodiment of the present invention; Figure 2 As shown, in order to obtain better shooting effects and further identify the surface defect details of the disassembled electric energy meter, the system also includes: an illumination module 80, which is used to fill in the light for the camera 20 when the light is low or the noise data in the image data of the disassembled electric energy meter exceeds the set requirements.
[0020] Specifically, when the illumination is low, it means that the similarity between the disassembled electric energy meter and the template image of the electric energy meter is less than a preset threshold. When the noise data in the image data of the disassembled electric energy meter exceeds the set requirements, for example, the proportion of the pixels corresponding to the noise in each processed image of the disassembled electric energy meter to the pixels of each processed image is greater than the set proportion; the number of pixels contained in the largest noise in each processed image exceeds the set number of pixels; the center distance between two adjacent noise points in each processed image is less than the set distance, and the number of noise points contained in each processed image is greater than the set number. Example
[0021] Figure 3 A schematic diagram of a process for sorting a disassembled electric energy meter provided by an embodiment of the present invention. Figure 5 A schematic diagram of the principle of image processing in a method for sorting a disassembled electric energy meter provided by an embodiment of the present invention is shown as follows: Figure 3 and Figure 5 As shown, the method includes: S301: When sensing that the returned electric energy meter enters the shooting range of the camera 20, a control signal is sent to the industrial control host to enable the camera to obtain image data of the returned electric energy meter; and surface defects corresponding to the returned electric energy meter are identified from the image data using an image recognition algorithm, wherein the surface defects include: one or a combination of surface scratches, breakages, and panel missing.
[0022] When the disassembled electric energy meter in the turnover box is transported to the shooting range of the camera 20 by manual or pushing equipment, it is sensed by the photoelectric sensor 30, and then a trigger signal is sent to the industrial control host 10, and the industrial control host 10 generates a corresponding control signal to the camera 20, and the camera 20 performs the following steps. It should be emphasized that when the turnover box enters the shooting range of the camera 20, it is sensed by the photoelectric sensor 30, and the sensing position of the photoelectric sensor 30 is pre-calibrated.
[0023] Specifically, Figure 4 Another flow chart of a method for sorting a disassembled electric energy meter provided by an embodiment of the present invention is as follows: Figure 4 As shown, you can first follow Figure 4 The process shown below obtains the image data of the disassembled electric energy meter: S301A: Acquire several images of the disassembled electric energy meter, perform image correction and color extraction on each of the several images, and obtain each processed image. The turnover box containing the disassembled electric energy meter is moved to the bull's eye ball conveyor 100 by a robot or manually, and the bull's eye ball conveyor 100 drives the turnover box to move within the shooting range of the camera 20. Of course, in actual applications, an encoder can be used as a reference for the coordinated work of the camera 20 and the bull's eye ball conveyor 100. This is all prior art, and the embodiments of the present invention will not be repeated here.
[0024] When the turnover box moves within the range of motion of the camera 20, the camera 20 takes several images of each disassembled electric energy meter in the turnover box. This step corresponds to Figure 5 Then, the image is transmitted to the processor in the industrial control host 10.
[0025] Then, corresponding to Figure 5 In the image processing process, for each disassembled electric energy meter, a partial image is extracted from several images corresponding to the disassembled electric energy meter as the target image, and then the target image is subjected to image correction, binary conversion filtering, and color extraction to obtain each processed image. In practical applications, the overall image of the turnover box can be captured, and then the image segmentation algorithm can be used to segment the images of each disassembled electric energy meter in the turnover box. Multiple shots can be taken to obtain several images of each disassembled electric energy meter.
[0026] Furthermore, in order to improve the extraction efficiency of the target image, the number of frames may be set at intervals, and partial images may be extracted from a number of images as processed images.
[0027] S301B: Based on each processed image and the preset template image of the electric energy meter, an image similarity algorithm is used to compare the similarity between the obtained disassembled electric energy meter and the template image of the electric energy meter. All edge lines in each processed image are detected from each processed image using the built-in edge detection algorithm of the area sensor to obtain the first contour lines. It can be understood that the first contour lines referred to here include but are not limited to the edge contours of the disassembled electric energy meter, and also include the contours of the raised and recessed parts of the surface of the disassembled electric energy meter, and the edge contours of the functional areas on the disassembled electric energy meter such as the dial, barcode, lead seal, buttons, etc.
[0028] Then, a method similar to the first contour extraction algorithm is used to extract the second contour of each type of electric energy meter from the electric energy meter template image, and a feature similarity matching algorithm is used to identify the target area matching the second contour from the first contour. The reason why the second contour is extracted each time in this scheme is that there are many manufacturers of disassembled electric energy meters, and the styles of disassembled electric energy meters of each manufacturer are also diverse. In addition, the algorithm is constantly iterated, so the contour extraction algorithm may be frequently updated. In the prior art, the second contour line is extracted in advance. Therefore, when performing similarity matching between the second contour line and the second contour line, although the amount of calculation is reduced, the computing power configured in the industrial control host 10 is far exceeded compared with the computing power consumption of the contour line extraction algorithm. These amounts of calculation do not lead to a significant shortening of the calculation time of the industrial control host 10 in the disassembled electric energy meter sorting system; moreover, there is a gap between two adjacent turnover boxes, and it takes a certain amount of time for the bull's eye ball conveyor table to convey the next turnover box. Therefore, even if the industrial control host 10 has completed the calculation long ago, it is necessary to wait for the arrival of the next turnover box. Therefore, shortening the calculation time of each run of the contour line extraction algorithm does not lead to an improvement in the efficiency of the disassembled electric energy meter sorting. In addition, once the user updates the contour line extraction algorithm, it is necessary to extract the second contour lines from thousands of electricity meter template images in a centralized manner, and then update the second contour line data set. This process takes from a few minutes to more than ten minutes. If there is business coming at this time, the disassembled electricity meter sorting system will not be able to work. The method of this scheme does not need to extract the second contour lines from thousands of electricity meter template images in a centralized manner, thus avoiding the concentration of time for updating the second contour lines, and thus avoiding the disassembled electricity meter sorting system from being unable to work for a long time.
[0029] In addition, once the contour extraction algorithm fails to update or has a bug, especially when a problem occurs in the middle of the contour extraction algorithm processing, the data set of the second contour of the electric energy meter template image may be damaged, causing the disassembled electric energy meter sorting system to stop working for a longer time. However, when the method of this solution is applied, once the contour extraction algorithm fails to update, it will only cause the first first contour or second contour extraction failure after the contour extraction algorithm is updated. The problem of the contour extraction algorithm can be discovered as early as possible, and then the algorithm version can be rolled back, ensuring the smooth operation of the business.
[0030] This step corresponds to Figure 5 The graphic matching (shape) process in can then obtain the corresponding target area. In this process, the system tolerance can be set according to the degree of similarity, thereby adapting to different image conditions and improving the flexibility of the system.
[0031] S301C: Figure 5 As shown, when the similarity is lower than the preset threshold, a fill light instruction is sent to the lighting module to make the lighting module emit light, and the step of obtaining several images of the disassembled electric energy meter is returned until the similarity between the disassembled electric energy meter and the electric energy meter template image is greater than or equal to the preset threshold.
[0032] When the target area does not exist, it is possible that the model of the removed electric energy meter does not match the model of the electric energy meter in the electric energy meter template image, or it may be a misidentification caused by insufficient light. The lighting module can be turned on for fill light, and then the above steps are re-executed until the similarity between the removed electric energy meter and the electric energy meter template image is greater than or equal to the preset threshold, or the similarity between the removed electric energy meter and the electric energy meter template image under fill light is less than the preset threshold, thereby ending the judgment of the current removed electric energy meter.
[0033] S301D: The processed image whose similarity between the disassembled electric energy meter and the template image of the electric energy meter is greater than or equal to a preset threshold is used as the image data of the disassembled electric energy meter.
[0034] S302: Obtain identification information of the returned electric energy meter, obtain corresponding process information according to the identification information, determine a processing result of the returned electric energy meter according to the identification information and the process information, and display the processing result.
[0035] Specifically, the image data of the returned electricity meter is the front image of the returned electricity meter, which contains the code indicating the number of the returned electricity meter; the barcode (code), manufacturer, model, number of pulses per kilowatt-hour and other data of the returned electricity meter. Therefore, the corresponding information can be identified using the OCR algorithm or other algorithms.
[0036] For example, first obtain the identification information of the returned electric energy meter, and the specific process includes: using an image recognition algorithm to identify the barcode data of the returned electric energy meter from the image data of the returned electric energy meter, and then using an OCR algorithm to identify the text identification of the returned electric energy meter from the image data of the returned electric energy meter; determine whether the barcode data and the text identification correspond to the same returned electric energy meter, and if so, use the barcode data or the text identification as the identification information of the returned electric energy meter; if not, output an identification error alarm, and so on to identify all the returned electric energy meters in the turnover box.
[0037] Specifically, after obtaining the identification information of the returned electric energy meter, four processing methods are determined according to the identification information and the process information to process the returned electric energy meter, as described below: Method 1: There will be a special electricity meter removal process before the electricity meter is removed. Therefore, the corresponding business process information (electricity meter removal process) can be obtained from the business system based on the identification information, and the archive field can be identified from the business process information. Generally speaking, the archive field stores information on whether it is archived. Based on the information stored in the archive field, it is determined whether the business process information has been archived; if so, the archived information is displayed; if not, an unarchived alarm is output.
[0038] By using the above-mentioned embodiments of the present invention, it is possible to identify the unarchived returned electric energy meters.
[0039] Method 2: Determine the corresponding business process information according to the identification information, and extract each first representation field contained in the business process information, wherein the first representation field includes: one or a combination of the hardware version of the disassembled electric energy meter and the disassembly time; Figure 6 A schematic diagram of defects of a returned electric energy meter screened out by a method for sorting returned electric energy meters provided in an embodiment of the invention is shown in FIG. Figure 6 As shown, Figure 6 The irregular lines in the white box are scratches. The surface defect detection results are graded according to the surface defect detection results and the preset grading standards to obtain surface defect level information, such as a scratch length greater than 5 cm, or a transparent watch window is broken, or the identification information is damaged, which is severe, a scratch greater than 2 cm and less than 5 cm is medium, and less than 2 cm is slight, and the surface defect level information is added to the first representation field; Each processing method has a corresponding first characterization vector. The second characterization vector composed of the first characterization field is similarly calculated with the first characterization vector. When the similarity is greater than the set similarity, the processing method corresponding to the first characterization vector is used as the processing result of the removed electric energy meter, wherein the processing method includes: provincial center return to the warehouse, local scrapping or a combination thereof. It can be understood that when the similarities corresponding to all processing methods are not greater than the set similarity, an alarm can be issued, or the processing method corresponding to the highest similarity value can be used as the processing result of the removed electric energy meter.
[0040] Method 3: Determine the corresponding business process information according to the identification information, and extract each second representation field contained in the business process information, wherein the second representation field includes: one or a combination of the wiring method in the turnover box, the hardware version, the disassembly and disposal method, the identification information of the turnover box, and the scrapping verification information; A consistency check is performed on the returned electric energy meter according to the first characterization field, that is, whether the information of the second characterization field in the business process information is consistent with the characterization field identified by the system, if they are consistent, the check passes, if they are inconsistent, the check fails. For the returned electric energy meter that passes the check, the identification information of the returned electric energy meter is bound to the identification information of the turnover box, and the binding result is synchronized to the business system.
[0041] By applying the embodiment of the present invention, a binding relationship between the returned electric energy meter and the turnover box can be established, which is beneficial to the search for the returned electric energy meter.
[0042] Method 4: Figure 7 A schematic diagram of another process of a disassembled electric energy meter sorting method provided by an embodiment of the present invention, such as Figure 7 As shown, S302A: Determine the corresponding business process information according to the identification information, and extract the removal time information t1 contained in the business process information; S302B: searching, in each storage location according to the removal time information, for a stored electric energy meter that is closest to the removal time information; For example, the corresponding removal time of the electric energy meters stored in each storage location is t2, t3, t4, and t5, among which the absolute value of t1-t3 is the smallest, so t3 is the removal time closest to t1, and the electric energy meter corresponding to t3 is the stored electric energy meter closest to the removal time information.
[0043] S302C: Based on the location of the stored electric energy meter, find out the blank storage space closest to the stored electric energy meter, bind the number information of the blank storage space with the identification information of the removed electric energy meter, and synchronize the binding result to the business system.
[0044] By using the above-mentioned embodiment of the present invention, the corresponding blank storage position can be determined for the removed electric energy meter, thereby improving the storage efficiency and storing the corresponding blank storage position for the removed electric energy meter. Finally, after obtaining the processing result of the disassembled electric energy meter, the processing result can be displayed by one or a combination of voice, text, and light.
[0045] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A dismantled electric energy meter sorting system, characterized in that: The system includes: a bull's eye ball conveyor, an industrial control host, and a camera, a photoelectric sensor, a code reader, a communication module, an image analysis module and a display module respectively connected to the industrial control host for communication, wherein: The bull's eye ball conveyor is used to convey the disassembled electric energy meter to the shooting range of the camera; The photoelectric sensor is used to sense when the disassembled energy meter enters the shooting range of the camera and sends a control signal to the industrial control host; The camera is used to obtain image data of the disassembled electric energy meter under the control of the industrial control host, and send the image data to the image analysis module so that the image analysis module performs surface defect detection on the disassembled electric energy meter; The code reader is used to identify the identification information of the disassembled electric energy meter and send the identification information to the industrial control host; The industrial control host is used to obtain the surface defect detection result returned by the image analysis module, obtain the corresponding process information from the communication module according to the identification information, and determine the processing result of the disassembled electric energy meter according to the identification information and the process information, or according to the identification information, the surface defect detection result and the process information; A communication module is used to execute corresponding communication instructions under the control of the industrial control host; The display module is used to display the processing results under the control of the industrial control host.
2. A dismantled electric energy meter sorting system, characterized in that: The system also includes: a lighting module, which is used to provide supplementary light to the camera.
3. A method for sorting dismantled electric energy meters according to claim 1 or 2, characterized in that: The method comprises: When sensing that the disassembled electric energy meter enters the shooting range of the camera, a control signal is sent to the industrial control host so that the camera acquires image data of the disassembled electric energy meter; using an image recognition algorithm to identify surface defects corresponding to the disassembled electric energy meter from the image data, wherein the surface defects include: one or a combination of surface scratches, damage, and panel missing; Obtain identification information of the returned electric energy meter, obtain corresponding process information according to the identification information, determine a processing result of the returned electric energy meter according to the identification information and the process information, and display the processing result.
4. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: The step of obtaining image data of the disassembled electric energy meter comprises: Acquire a plurality of images of the disassembled electric energy meter, and perform image correction and color extraction on each of the plurality of images to obtain a processed image; According to each processed image, and according to the preset template image of the electric energy meter, using the image similarity algorithm to compare the similarity between the electric energy meter obtained and removed in each processed image and the template image of the electric energy meter; When the similarity is lower than the preset threshold, a fill light instruction is sent to the lighting module to make the lighting module emit light, and the process of obtaining a plurality of images of the disassembled electric energy meter is returned until the similarity between the disassembled electric energy meter and the template image of the electric energy meter is greater than or equal to the preset threshold; The processed image whose similarity between the disassembled electric energy meter and the template image of the electric energy meter is greater than or equal to a preset threshold is used as the image data of the disassembled electric energy meter.
5. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: Obtain identification information of the removed electric energy meter, including: Obtain barcode data of the returned electric energy meter, and recognize the text logo of the returned electric energy meter from the image data of the returned electric energy meter using an OCR algorithm; Determine whether the barcode data and the text label correspond to the same disassembled electric energy meter. If so, use the barcode data or the text label as identification information of the disassembled electric energy meter; if not, output an identification error alarm.
6. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: Determining a processing result of the removed electric energy meter according to the identification information and the process information includes: According to the identification information, corresponding business process information is obtained from the business system, and the filing field is identified from the business process information; Based on the information stored in the archive field, determine whether the business process information has been archived; If yes, display the archived information; if no, output an unarchived warning.
7. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: Determining the processing result of the disassembled electric energy meter according to the identification information, the surface defect detection result and the process information, including: Determine the corresponding business process information according to the identification information, and extract each first representation field contained in the business process information, wherein the first representation field includes: one or a combination of the hardware version of the disassembled electric energy meter and the disassembly time; Classifying the surface defect detection results according to the surface defect detection results and a preset classification standard to obtain surface defect level information, and adding the surface defect level information to the first representation field; According to the correspondence between the first characterization field and each processing method, the processing results of the removed electric energy meter are screened out from the processing methods, wherein the processing methods include: one or a combination of provincial center return and local scrapping.
8. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: Determining a processing result of the removed electric energy meter according to the identification information and the process information includes: Determine the corresponding business process information according to the identification information, and extract each second representation field contained in the business process information, wherein the second representation field includes: one or a combination of: wiring method in the turnover box, hardware version, dismantling and disposal method, identification information of the turnover box, and scrapping verification information; The returned electric energy meter is subjected to consistency check according to the first characterization field. After the check is passed, the identification information of the returned electric energy meter is bound with the identification information of the turnover box, and the binding result is synchronized to the business system.
9. A method for sorting dismantled electric energy meters according to claim 3, characterized in that: Determining a processing result of the removed electric energy meter according to the identification information and the process information includes: Determine the corresponding business process information according to the identification information, and extract the removal time information contained in the business process information; According to the removal time information, searching in each storage location for a stored electric energy meter that is closest to the removal time information; Based on the location of the stored electric energy meter, find out the blank storage space closest to the stored electric energy meter, bind the number information of the blank storage space with the identification information of the removed electric energy meter, and synchronize the binding result to the business system.
10. A method for sorting dismantled electric energy meters according to claim 9, characterized in that: The displaying of the processing result includes: displaying the processing result by using one or a combination of voice, text, and light.