Flexible intelligent verification method compatible with verification of multiple electric energy meters and verification bin

Abstract

The invention provides a flexible intelligent verification method compatible with verification of multiple electric energy meters and a verification bin, and relates to the technical field of electric power grids. According to the invention, the flexible compatible verification cabin is arranged, the to-be-verified electric meter is subjected to three-dimensional scanning, the appearance information and the type of the to-be-verified electric meter are obtained by combining the appearance detection model, and then the to-be-verified electric meter is verified by determining the verification items and the verification programs and verification parameters of the verification items based on the type of the electric meter. And the verification results and the appearance information are integrated, and the verification report of the to-be-verified ammeter is generated, so that automatic verification of various types of ammeters is realized, manual replacement of ammeter verification equipment and processes is not needed, the verification efficiency of the ammeters is improved, and the verification cost of the ammeters is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power grids, and in particular to a flexible intelligent calibration method and a calibration chamber compatible with calibration of multiple electric energy meters. Background Art

[0002] In the field of electricity meter verification, traditional verification devices and methods face numerous limitations and challenges. These limitations not only affect the efficiency and cost-effectiveness of verification work, but also restrict the flexibility and scope of application of verification work.

[0003] Traditional calibration equipment is typically only capable of calibrating specific types of energy meters, such as single-phase meters from the State Grid and Southern Grid. Different specifications and types of energy meters, such as three-phase direct-type energy meters, three-phase inductive energy meters, and data collection terminals, require different calibration equipment and processes. This not only increases equipment investment and maintenance costs but also makes calibration cumbersome and complex. Furthermore, due to incompatibilities between devices, calibration personnel must frequently replace calibration equipment or adjust settings to accommodate different types of energy meters. This process not only consumes significant time and effort, but also increases labor costs, prolongs the calibration cycle, and reduces calibration efficiency.

[0004] Furthermore, traditional calibration equipment suffers from space utilization issues. Due to the wide variety of equipment, each requiring a specific amount of space, it's common for unused storage space to be a problem. This not only wastes valuable space but also further impacts the efficiency and cost-effectiveness of calibration work. Summary of the Invention

[0005] The present invention provides a flexible intelligent calibration method and a calibration chamber compatible with calibration of multiple electric energy meters, which can improve the calibration efficiency of electric meters and reduce the calibration cost of electric meters.

[0006] In a first aspect, the present invention provides a flexible intelligent calibration method compatible with the calibration of multiple electric energy meters, the method comprising: if a meter to be calibrated is detected, performing a three-dimensional scan on the meter to be calibrated to obtain scanned images of the meter to be calibrated at multiple angles; performing image recognition based on the scanned images of the meter to be calibrated at multiple angles and an appearance detection model to obtain appearance information and meter type of the meter to be calibrated; determining the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, based on the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, calibrating the meter to be calibrated to obtain calibration results of each calibration item; generating a calibration report for the meter to be calibrated based on the calibration results and appearance information.

[0007] In one possible implementation, if a meter to be tested is detected, a three-dimensional scan is performed on the meter to obtain scanned images of the meter at multiple angles, including: if a meter to be tested is detected, a preliminary scan is performed on the meter to determine the apparent information and scanning information of the meter to be tested, where the apparent information includes size, shape, and position; the scanning information includes scanning range, resolution, and scanning speed; and the meter to be tested is fixed based on the apparent information of the meter to be tested;

[0008] Based on the scanning information, multiple scanning angles are determined; based on each scanning angle and the scanning information, the fixed electric meter to be calibrated is scanned to obtain scanning images at multiple angles.

[0009] In one possible implementation, image recognition is performed based on scanned images of the meter to be calibrated at multiple angles and an appearance detection model to obtain appearance information and the type of the meter to be calibrated, including: image segmentation based on the scanned images at multiple angles to obtain a front view, a side view, and scanned images at multiple other angles of the meter to be calibrated; feature extraction is performed on the front view and the side view to obtain key features of the meter to be calibrated, and the key features represent text area features of the meter to be calibrated; an input vector is generated based on the key features of the meter to be calibrated and the scanned images at multiple angles; and the appearance information and the type of the meter to be calibrated are obtained based on the input vector and the appearance detection model.

[0010] In one possible implementation, before performing image recognition based on scanned images of the meter to be inspected at multiple angles and an appearance detection model to obtain the appearance information and meter type of the meter to be inspected, the method further includes: obtaining scanned images of multiple sample meters, as well as the appearance information and meter types of the multiple sample meters; the sample meters include meters with normal appearance and meters with abnormal appearance, and the meters with abnormal appearance are meters with defects on the outer surface of the meter; the appearance information includes the dimensions of various parts of the meter's appearance, the type of appearance defects, and the location of appearance defects; performing feature extraction based on the front and side views of the meters in the scanned images of the multiple sample meters to obtain key features of the multiple sample meters; generating input vectors of the multiple sample meters based on the key features and scanned images of the multiple sample meters; determining multiple training samples with the input vector of each sample meter as input and the appearance information and meter type of each sample meter as output, and performing neural network training based on the multiple training samples to obtain the appearance detection model.

[0011] In one possible implementation, based on the type of the meter to be calibrated, the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item are determined, including: based on the meter type and a preset matching rule library, the calibration items of the meter to be calibrated are determined, and the calibration items include one or more of the following: error calibration, fee control calibration, communication calibration and durability calibration; based on the meter type and calibration items, the calibration parameters of each calibration item are determined; the calibration parameters include test voltage, test current, test duration, test frequency, standard error and standard delay rate; based on the meter type, calibration items and calibration parameters, the calibration procedure of the meter to be calibrated is determined.

[0012] In one possible implementation, the calibration procedure of the meter to be calibrated is determined based on the meter type, calibration items and calibration parameters, including: determining multiple calibration schemes based on the meter type, calibration items and calibration parameters, each calibration scheme including a calibration sequence for each calibration item; calculating the time consumption of each calibration scheme; and determining the calibration procedure of the meter to be calibrated based on the calibration scheme with the shortest time consumption.

[0013] In one possible implementation, the meter to be calibrated is calibrated based on the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, to obtain calibration results of each calibration item, including: determining the current calibration item of the meter to be calibrated based on the calibration procedure; setting a flexible compatible calibration bin based on the current calibration item of the meter to be calibrated and the calibration parameters of the current calibration item; testing the current calibration item of the meter to be calibrated based on the set flexible compatible calibration bin to obtain test results; calibrating based on the test results and the calibration parameters of the current calibration item to obtain calibration results of the current calibration item; and summarizing and generating calibration results of each calibration item based on the calibration results of each calibration item.

[0014] In one possible implementation, a calibration report for the meter to be calibrated is generated based on the calibration results and appearance information, including: determining whether the meter to be calibrated is normal based on the calibration results of each calibration item; if the meter to be calibrated is normal, generating a calibration report for the meter to be calibrated based on the appearance information of the meter to be calibrated and the calibration results of each calibration item; if the meter to be calibrated is abnormal, determining the abnormal information of the meter to be calibrated based on the calibration results of each calibration item, the abnormal information including abnormal items and abnormal parameters; generating a calibration report for the meter to be calibrated based on the appearance information of the meter to be calibrated, the calibration results of each calibration item and the abnormal information of the meter to be calibrated.

[0015] In one possible implementation, the flexible compatible calibration bin includes a meter identification area, a meter delivery area, a meter buffer area, and a meter calibration area; the method also includes: if it is detected that the scanning of the meter to be calibrated is completed, then based on the meter type, the target line width of the flexible compatible calibration bin is determined; the line width of the flexible compatible calibration bin is adjusted to the target line width; based on the adjusted line, the meter to be calibrated is clamped, and the meter to be calibrated in the meter identification area is transferred to the meter buffer area via the meter delivery area to perform a calibration sequence; if the meter to be calibrated is the current meter in the calibration sequence, the meter to be calibrated is transferred from the meter buffer area to the meter determination area.

[0016] In a second aspect, an embodiment of the present invention provides a flexible intelligent calibration device compatible with the calibration of multiple electric energy meters, including: a communication module for monitoring the electric meter to be calibrated; a processing module for performing a three-dimensional scan on the electric meter to be calibrated if the electric meter to be calibrated is detected, to obtain scanned images of the electric meter to be calibrated at multiple angles; performing image recognition based on the scanned images of the electric meter to be calibrated at multiple angles and an appearance detection model to obtain appearance information and the type of the electric meter to be calibrated; determining the calibration items of the electric meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, based on the calibration items of the electric meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, calibrating the electric meter to be calibrated to obtain calibration results of each calibration item; generating a calibration report for the electric meter to be calibrated based on the calibration results and the appearance information.

[0017] In the third aspect, an embodiment of the present invention provides a flexible and compatible calibration warehouse, which includes an electric meter identification area, an electric meter transmission area, an electric meter cache area, an electric meter calibration area and a control device. The control device includes a memory and a processor. The memory stores a computer program. The processor is used to call and run the computer program stored in the memory to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0018] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and is characterized in that when the computer program is executed by a processor, it implements the steps of the method described in the first aspect and any possible implementation method of the first aspect.

[0019] The present invention provides a flexible intelligent calibration method and calibration chamber that are compatible with the calibration of multiple electric energy meters. The present invention sets up a flexible compatible calibration chamber, first performs a three-dimensional scan on the electric meter to be calibrated, and combines the appearance detection model to obtain the appearance information and meter type of the electric meter to be calibrated. Then, based on the meter type, the calibration items, as well as the calibration procedures and calibration parameters of each calibration item are determined, the electric energy meter to be calibrated is calibrated, and the calibration results of each calibration item are obtained. The calibration results and appearance information are combined to generate a calibration report for the electric meter to be calibrated, thereby realizing automatic calibration of multiple types of electric meters without the need for manual replacement of meter calibration equipment and processes, thereby improving the calibration efficiency of the electric meter and reducing the calibration cost of the electric meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 This is a structural diagram of a flexible compatible calibration chamber provided by an embodiment of the present invention;

[0022] Figure 2 This is a flow chart of a flexible intelligent calibration method compatible with calibration of multiple electric energy meters provided by an embodiment of the present invention;

[0023] Figure 3 This is a structural diagram of a flexible intelligent calibration device compatible with calibration of multiple electric energy meters provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In the following description, specific details such as particular system structures and techniques are provided for purposes of illustration, not limitation, to facilitate a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0025] In the description of the present invention, unless otherwise specified, “ / ” means “or”. For example, A / B can mean A or B. “And / or” in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, “at least one” and “a plurality of” refer to two or more. Words such as “first” and “second” do not limit the quantity and execution order, and words such as “first” and “second” do not necessarily limit them to be different.

[0026] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner to facilitate understanding.

[0027] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or modules is not limited to the listed steps or modules, but may optionally include other steps or modules not listed, or may optionally include other steps or modules inherent to the process, method, product, or apparatus.

[0028] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will be described through specific embodiments in conjunction with the accompanying drawings of the present invention.

[0029] As described in the background technology, the current meter calibration production line is only for specific types of electricity meters. If it is necessary to calibrate various types of meters such as State Grid single-phase meters, Southern Grid single-phase meters, three-phase direct electricity meters, three-phase mutual induction electricity meters and acquisition terminals, on the one hand, multiple production lines can be arranged for calibration, which takes up a large space and has high costs. On the other hand, one or more production lines can be arranged, such as similar meters sharing one production line, and the calibration of the meters can be achieved by manually changing the calibration settings, but this method has high labor costs and low calibration efficiency. Therefore, the current meter calibration has problems such as low efficiency, long calibration cycle, large space occupation, and high cost.

[0030] In order to solve the above technical problems, Figure 1 As shown, the present invention provides a flexible and compatible calibration chamber. The flexible and compatible calibration chamber includes an electric meter identification area, an electric meter transmission area, an electric meter buffer area, an electric meter calibration area and a control device.

[0031] Among them, the meter identification area, meter transmission area, meter buffer area and meter verification area are respectively connected to the control equipment.

[0032] In some embodiments, the meter identification area is used to perform preliminary identification and classification of meters under inspection. This area includes a high-precision 3D scanner and an image recognition system. The 3D scanner can scan the meter under inspection from multiple angles, acquiring 3D image data. The image recognition system, based on a deep learning algorithm, identifies and analyzes the scanned images to determine the meter's type, specifications, and appearance.

[0033] When a meter to be inspected enters the identification area, the 3D scanner begins scanning the meter from multiple angles. The image recognition system then processes and analyzes these images, identifying the meter's type and appearance, and transmits this information to the control device.

[0034] In some embodiments, the meter transport area is used to transfer meters to be tested from the meter identification area to the buffer area or the test area. The meter transport area includes an automated conveyor line and a clamping device. The automated conveyor line transports meters from one area to another along a pre-set path and speed. The clamping device is responsible for holding and securing the meters during transport to ensure stability and safety.

[0035] After receiving meter type and appearance information from the meter identification area, the control device determines the target line width for the flexible, compatible calibration chamber based on this information. The conveyor line width is then adjusted to the target line width. A clamping device then grasps the meter to be tested and transfers it from the identification area to the buffer or calibration area at a pre-set path and speed.

[0036] In some embodiments, a meter cache is used to temporarily store meters awaiting calibration, sorting them and allowing them to wait according to the calibration sequence. The meter cache includes an automated storage system and an intelligent dispatching system. The automated storage system stores and retrieves meters according to pre-set rules and algorithms. The intelligent dispatching system is responsible for sorting and dispatching meters based on the calibration sequence and the current status of the calibration zone.

[0037] When a meter to be tested is transferred to the cache, the intelligent dispatching system will add it to the test sequence and sort it according to the order of the sequence. When there is a vacant position in the test area, the intelligent dispatching system will dispatch the next meter to be tested from the cache to the test area for testing.

[0038] In some embodiments, the meter verification area is the core area of meter verification, responsible for testing and analyzing various verification items on the meter under verification. The meter verification area includes various specialized verification equipment and instruments, such as error verification devices, voltage withstand test devices, and power consumption test devices. These equipment and instruments can perform various tests and analyses on the meter according to preset verification procedures and parameters.

[0039] When the meter to be calibrated is transferred to the calibration area, the calibration equipment performs tests and analyses based on the calibration items and parameters transmitted by the control equipment. Once the test is complete, the calibration equipment transmits the results to the control equipment, which then generates a calibration report.

[0040] In some embodiments, the control device serves as the central nervous system of the entire flexible and compatible inspection warehouse, responsible for coordinating the work and processes of various areas. The control device includes a high-performance computer system and advanced control algorithms. The computer system receives and processes data and information from various areas in real time, making decisions and scheduling decisions based on this information. The control algorithm coordinates and controls each area according to pre-set rules and algorithms.

[0041] Throughout the verification process, the control device continuously receives data and information from various areas and uses this information to make real-time adjustments and optimizations to the verification process. For example, if a device is detected to be faulty, the control device immediately removes it from the verification sequence and dispatches another device to replace it. The control device also generates a detailed verification report based on the verification results and appearance information for subsequent analysis and processing.

[0042] In summary, the flexible compatible calibration warehouse realizes compatible calibration and efficient processing of various types of meters through the collaborative work of various areas and coordinated control of control equipment.

[0043] based on Figure 1 The flexible compatible test chamber shown, such as Figure 2 As shown, an embodiment of the present invention provides a flexible intelligent calibration method compatible with calibration of multiple electric energy meters, and the method includes steps S101-S105.

[0044] S101. If an electric meter to be calibrated is detected, a three-dimensional scan is performed on the electric meter to obtain scanned images of the electric meter at multiple angles.

[0045] As a possible implementation manner, the embodiment of the present invention can perform a three-dimensional scan on the electric energy meter to be calibrated through steps S1011 to S1014.

[0046] S1011. If an electric meter to be calibrated is detected, a preliminary scan is performed on the electric meter to determine the apparent information and scanning information of the electric meter to be calibrated.

[0047] In some embodiments, the appearance information includes size, shape, and position; the scanning information includes scanning range, resolution, and scanning speed.

[0048] For example, when the system detects a meter to be calibrated entering the scanning area, it initiates a preliminary scan. Ensure the 3D scanner is in normal working order, calibrated, and clear of obstructions. Using a sensor or manual trigger, the 3D scanner initiates a preliminary scan of the meter to be calibrated. The scanner collects preliminary data on the meter's surface, providing a foundation for subsequent processing.

[0049] For example, surface information: Calculate the meter's overall dimensions, including length, width, and height, from scanned data. Identify the meter's basic shape, such as rectangular or circular, as well as any special structures. Determine the meter's specific location within the scan area for subsequent positioning and scanning.

[0050] For example, scanning information: Based on the size and shape of the meter, set an appropriate scanning range to ensure that all parts of the meter are fully scanned. Based on the complexity and accuracy requirements of the meter, select an appropriate scanning resolution. Balance scanning efficiency and data quality to set an appropriate scanning speed.

[0051] S1012. Fix the electric meter to be calibrated based on the apparent information of the electric meter to be calibrated.

[0052] For example, based on the meter's apparent appearance, select an appropriate fixture and method to secure the meter to the scanning platform. Choose an appropriate fixture, such as a clamp or suction cup, based on the meter's size, shape, and weight. Ensure the fixture can stably hold the meter to prevent movement or deformation during scanning. After securing, perform a safety check to ensure the meter is securely fastened and will not damage the scanning equipment.

[0053] S1013. Determine multiple scanning angles based on the scanning information.

[0054] For example, based on the scanning information, multiple appropriate scanning angles are determined to ensure that all parts of the meter are fully scanned. Depending on the meter's shape and features, multiple scanning angles are selected, such as the front, side, and top. Through simulation or experimentation, the scanning angles are optimized to ensure that the scan results cover the entire meter surface and provide good data quality.

[0055] S1014 : Scan the fixed electric meter to be calibrated based on each scanning angle and scanning information to obtain scanning images at multiple angles.

[0056] For example, a fixed electricity meter is scanned based on each scanning angle and scanning information, obtaining scanned images from multiple angles. The meter is scanned sequentially according to the preset scanning angles and scanning information. At each angle, the scanning range, resolution, and speed are ensured to meet the set requirements. During the scanning process, the scan data, including the scanned image and scanning parameters, is recorded in real time. After the scan is completed, the scanned data is quality checked to ensure that it is complete, clear, and free of obvious defects.

[0057] S102 : Based on the scanned images of the electric meter to be tested at multiple angles and the appearance detection model, image recognition is performed to obtain the appearance information and the type of the electric meter to be tested.

[0058] As a possible implementation manner, the embodiment of the present invention may detect the scanned image through steps S1021 - S1024 .

[0059] S1021. Based on the scanned images at multiple angles, perform image segmentation to obtain a front view, a side view, and scanned images at multiple other angles of the electric meter to be calibrated.

[0060] For example, based on scanned images from multiple angles, the images are segmented into front and side views of the meter being inspected, as well as scanned images from multiple other angles. The original scanned images are first preprocessed, including noise reduction and contrast enhancement, to improve image quality. Image processing techniques, such as edge detection and contour extraction, are then used to segment the images into different sections, corresponding to the front and side views, respectively. The segmented images may require angle correction to ensure accurate viewing orientation.

[0061] S1022. Perform feature extraction on the front view and the side view to obtain key features of the electric meter to be calibrated, where the key features represent text area features of the electric meter to be calibrated.

[0062] For example, feature extraction is performed on the front and side views to obtain key features of the meter to be inspected. These features characterize the text area of the meter. Using OCR (Optical Character Recognition) technology or a deep learning model, the text area in the image is detected. This typically involves steps such as image binarization, morphological operations, and connected domain analysis. For the detected text area, features such as shape, size, position, and color are extracted, as well as the character features of the text itself. From these extracted features, the key features that are most influential in identifying the meter type are selected.

[0063] S1023. Generate an input vector based on key features of the electric meter to be calibrated and scanned images at multiple angles.

[0064] For example, an input vector is generated based on the key features of the meter to be inspected and scanned images from multiple angles. The key features are then fused with the features of the scanned images from multiple angles to form a comprehensive feature vector. This fused feature vector is then encoded for input into the appearance inspection model. Encoding methods may include vector quantization and hash coding.

[0065] S1024: Based on the input vector and the appearance detection model, obtain the appearance information and meter type of the electric meter to be inspected.

[0066] In some embodiments, the appearance detection model is obtained by performing neural network training based on scanned images of electricity meters with normal appearance and electricity meters with abnormal appearance.

[0067] S103. Based on the type of the electric meter to be calibrated, determine the calibration items of the electric meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item.

[0068] As a possible implementation manner, the embodiment of the present invention may detect the scanned image through steps S1031 - S1033 .

[0069] S1031. Determine the calibration items of the meter to be calibrated based on the meter type and a preset matching rule library.

[0070] In some embodiments, the verification items include one or more of the following: error verification, fee control verification, communication verification, and durability verification.

[0071] In some embodiments, the matching rule library stores verification items, verification parameters, and verification procedures corresponding to each type of electric meter.

[0072] For example, embodiments of the present invention can match the type of meter to be calibrated with rules in a matching rule library to determine the calibration items required for the meter. Possible calibration items include error calibration, fee control calibration, communication calibration, and durability calibration. Based on the matching results, the required calibration items are selected.

[0073] For example, traditional electricity meters only include error verification and durability verification, while smart meters include error verification, fee control verification, communication verification, and durability verification.

[0074] S1032. Determine the calibration parameters of each calibration item based on the meter type and calibration items.

[0075] In some embodiments, the test parameters include test voltage, test current, test duration, test frequency, standard error, and standard delay rate.

[0076] Exemplarily, the calibration parameters include test parameters. In embodiments of the present invention, appropriate calibration parameters can be selected from a preset parameter library based on the meter type and the specific requirements of the calibration item. For example, for error calibration, a specific test voltage and test current may need to be set; for fee control calibration, a test duration and test frequency may need to be set.

[0077] In addition to test parameters, verification parameters also include standard error and standard delay rate, which are used to evaluate the accuracy and reliability of the verification results.

[0078] S1033. Determine the calibration procedure of the meter to be calibrated based on the meter type, calibration items, and calibration parameters.

[0079] In some embodiments, the certification procedure is the steps and processes that need to be followed when performing a certification project.

[0080] For example, embodiments of the present invention can automatically generate or select an appropriate calibration procedure based on the meter type, calibration items, and calibration parameters. This includes connecting test equipment, setting test conditions, executing test steps, and recording test results. In actual applications, the generated calibration procedure needs to be optimized and adjusted to ensure it meets actual needs and operational specifications.

[0081] Exemplarily, step S1033 may be specifically implemented as steps A1-A3.

[0082] A1. Determine multiple calibration plans based on meter type, calibration items, and calibration parameters.

[0083] In some embodiments, each testing plan includes a testing sequence for each testing item.

[0084] Exemplarily, an embodiment of the present invention can generate all possible combinations of verification sequences based on determined verification items (such as error verification, fee control verification, communication verification, durability verification, etc.) and verification parameters (such as test voltage, test current, etc.). These combinations constitute multiple verification schemes. Considering the feasibility and efficiency of actual operations, it may be necessary to further screen these schemes. For example, certain verification items may need to be performed under specific test conditions, or there may be interdependencies between certain items. Therefore, it is necessary to ensure that the generated scheme meets these requirements.

[0085] A2. Calculate the time required for each verification scheme.

[0086] For example, for each verification scheme, the total time required to complete all verification items is calculated. Based on parameters such as the test conditions, test steps, and test duration of each verification item, the time required for each item is estimated. Then, these time requirements are added together to obtain the total time required for each verification scheme. When calculating the time requirement, it is necessary to consider various factors, such as the preparation time of the test equipment, the operating time of the tester, and the waiting time during the test.

[0087] A3. Determine the calibration procedure for the meter to be calibrated based on the calibration plan that consumes the least time.

[0088] For example, embodiments of the present invention can select the least time-consuming solution from multiple verification schemes as the final verification procedure for the meter to be verified. All verification schemes are sorted in ascending order of total time consumption to identify the solution with the least time consumption. This solution is then determined as the final verification procedure for the meter to be verified. This includes the necessary verification items, verification parameters, and verification sequence, ensuring comprehensive verification of the meter's accuracy and reliability.

[0089] S104. Based on the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, the meter to be calibrated is calibrated to obtain calibration results of each calibration item.

[0090] As a possible implementation manner, the embodiment of the present invention can determine the verification results of each verification item through steps S1041-S1045.

[0091] S1041. Based on the calibration procedure, determine the current calibration items of the meter to be calibrated.

[0092] S1042. Based on the current calibration item of the electric meter to be calibrated and the calibration parameters of the current calibration item, the flexible compatible calibration warehouse is set.

[0093] For example, embodiments of the present invention can configure the relevant parameters of the flexible and compatible calibration chamber based on the calibration parameters of the current calibration project (such as test voltage, test current, test duration, etc.). The meter to be calibrated is connected to the corresponding interface of the flexible and compatible calibration chamber to ensure accurate transmission of the test signal. According to the needs of the calibration project, the environmental conditions in the calibration chamber (such as temperature, humidity, etc.) are adjusted to ensure the accuracy of the test.

[0094] S1043. Based on the set flexible compatible calibration chamber, the current calibration item is tested on the meter to be calibrated to obtain the test result.

[0095] For example, based on the configured flexible and compatible calibration chamber, the meter to be calibrated is tested for the current calibration item. The flexible and compatible calibration chamber's test program is started, and the meter to be calibrated begins testing. During the test, test data is recorded in real time, including test voltage, test current, response time, etc. Any abnormalities (such as equipment failure or data anomalies) during the test are promptly addressed and recorded.

[0096] S1044. Based on the test results and the calibration parameters of the current calibration item, calibration is performed to obtain the calibration result of the current calibration item.

[0097] For example, embodiments of the present invention can compare test results with standard values for calibration parameters to assess the accuracy and reliability of the test results. If the test results deviate from the standard values, an error analysis is performed to determine the cause and extent of the deviation. Calibration results: Based on the results of data comparison and error analysis, the calibration results (e.g., qualified, unqualified, retest required, etc.) for the current calibration item are provided.

[0098] S1045. Based on the verification results of each verification item, generate the verification results of each verification item in summary.

[0099] For example, embodiments of the present invention can organize the verification results of each verification item to form a complete verification report. The verification results are analyzed to evaluate the performance and accuracy of the meter being verified. Based on the analysis, a verification report is generated, including the verification items, test results, verification results, and conclusions. The verification report is archived and provided as feedback to relevant departments or customers for subsequent processing or decision-making.

[0100] S105. Generate a calibration report for the meter to be calibrated based on the calibration result and appearance information.

[0101] As a possible implementation manner, the embodiment of the present invention can generate a calibration report for the electric meter to be calibrated through steps S1051 to S1054.

[0102] S1051. Based on the verification results of each verification item, determine whether the meter to be verified is normal.

[0103] For example, embodiments of the present invention can summarize the verification results of each verification item to form a complete verification result overview. Based on the verification result overview, the overall performance of the meter to be verified is evaluated to see whether it meets relevant standards and requirements. Based on the performance evaluation results, it is determined whether the meter to be verified is normal. If all verification items pass, the meter is normal; if any verification item fails, the meter is abnormal.

[0104] S1052. If the electric meter to be inspected is normal, a inspection report of the electric meter to be inspected is generated based on the appearance information of the electric meter to be inspected and the inspection results of each inspection item.

[0105] For example, embodiments of the present invention can collect appearance information of the meter to be calibrated, such as model, serial number, and production date. The calibration results for each calibration item are integrated with the appearance information to form the main content of the calibration report. Based on this integrated information, a calibration report is compiled, including the calibration purpose, calibration method, calibration results, and conclusions. The calibration report is reviewed to ensure its accuracy and completeness, and then issued.

[0106] S1053. If the electric meter to be calibrated is abnormal, the abnormal information of the electric meter to be calibrated is determined based on the calibration results of each calibration item.

[0107] In some embodiments, the abnormal information includes abnormal items and abnormal parameters.

[0108] For example, embodiments of the present invention can identify the calibration item that causes an abnormality in an electric meter. Abnormal parameters related to the abnormal item, such as test voltage, test current, and response time, are extracted from the calibration results. The abnormal item and abnormal parameters are described to form abnormal information for the electric meter to be calibrated.

[0109] S1054. Generate a calibration report for the meter to be calibrated based on the appearance information of the meter to be calibrated, the calibration results of each calibration item, and the abnormality information of the meter to be calibrated.

[0110] For example, embodiments of the present invention can integrate appearance information, verification results, and abnormality information to form the main content of a verification report. The verification report details the meter's abnormal conditions and causes, including abnormal items, abnormal parameters, and possible fault points. Based on the abnormality information, corresponding treatment suggestions or repair measures are provided. The verification report is compiled according to the specified format and requirements and reviewed to ensure its accuracy and completeness.

[0111] The present invention provides a flexible intelligent calibration method that is compatible with the calibration of multiple electric energy meters. By setting up a flexible compatible calibration chamber, the electric energy meter to be calibrated is first scanned in three dimensions, and combined with the appearance detection model, the appearance information and meter type of the electric energy meter to be calibrated are obtained. Then, based on the meter type, the calibration items, as well as the calibration procedures and calibration parameters of each calibration item are determined. The electric energy meter to be calibrated is calibrated to obtain the calibration results of each calibration item. The calibration results and appearance information are combined to generate a calibration report for the electric energy meter to be calibrated, thereby realizing automatic calibration of multiple types of electric energy meters without the need for manual replacement of meter calibration equipment and processes, thereby improving the calibration efficiency of the electric energy meters and reducing the calibration costs of the electric energy meters.

[0112] Optionally, the flexible intelligent calibration method compatible with calibration of multiple electric energy meters provided in an embodiment of the present invention further includes steps S201-S205.

[0113] S201: Obtain scanned images of a plurality of sample electricity meters, as well as appearance information and meter types of the plurality of sample electricity meters.

[0114] In some embodiments, the sample electricity meters include electricity meters with normal appearance and electricity meters with abnormal appearance. The electricity meters with abnormal appearance are electricity meters with defects on the outer surface of the electricity meter; the appearance information includes the size of each part of the appearance of the electricity meter, the type of appearance defect and the location of the appearance defect.

[0115] For example, embodiments of the present invention can use a high-precision scanner or camera to scan or photograph a sample meter to obtain clear front and side views. The appearance information of each meter sample is recorded, including the dimensions of each part of the meter (e.g., length, width, height, etc.), the type of appearance defect (e.g., scratches, dents, rust, etc.), and the location of the appearance defect (e.g., top, side, bottom, etc.). Based on the meter sample's model, specifications, and other information, the meter type (e.g., single-phase meter, three-phase meter, etc.) is determined.

[0116] S202 : performing feature extraction based on the front view and the side view of the electricity meters in the scanned images of the plurality of sample electricity meters to obtain key features of the plurality of sample electricity meters.

[0117] For example, embodiments of the present invention can preprocess the scanned image, including noise reduction, contrast enhancement, and brightness adjustment, to improve the accuracy of feature extraction. Based on the meter's structural characteristics and the type of appearance defects, key points or regions that reflect the meter's appearance are selected for feature extraction. Image processing algorithms (such as edge detection, corner detection, and texture analysis) are used to extract the meter's key features, such as its outline, shape, and texture.

[0118] S203 : Generate input vectors of the multiple sample electricity meters based on the key features and scanned images of the multiple sample electricity meters.

[0119] For example, embodiments of the present invention can encode the extracted key features and convert them into numerical vectors suitable for neural network processing. The scanned image is converted into a grayscale or binary image and resized to meet the neural network input requirements. The encoded feature vector and the converted image vector are combined to form the input vector for each sample electricity meter.

[0120] S204 : Determine a plurality of training samples by taking the input vector of each sample electricity meter as input and the appearance information and meter type of each sample electricity meter as output.

[0121] For example, the present invention can pair the input vector of each sample meter with its corresponding appearance information and meter type to form a training sample. The appearance information and meter type in the training sample are labeled so that the neural network can recognize and learn during the training process.

[0122] S205: Perform neural network training based on multiple training samples to obtain an appearance detection model.

[0123] Exemplarily, an embodiment of the present invention can select a suitable neural network architecture (such as a convolutional neural network CNN, a recurrent neural network RNN, etc.) for training. The neural network is initialized, and the network parameters and training parameters (such as learning rate, number of iterations, etc.) are set. The training samples are input into the neural network for training, and the network parameters are continuously adjusted through forward propagation and back propagation to minimize the loss function. During the training process, the performance of the model, such as accuracy, recall rate, etc., is regularly evaluated to ensure the effectiveness and reliability of the model. When the model performance meets the requirements, it is saved as an appearance detection model for subsequent use.

[0124] In this way, the embodiment of the present invention can be trained through the scanned images and meter types of normal meters and abnormal meters to obtain an appearance detection model, which is convenient for identification and appearance detection before meter calibration, without the need for manual observation and information input, thereby improving the calibration efficiency of meters.

[0125] Optionally, the flexible intelligent calibration method compatible with calibration of multiple electric energy meters provided in an embodiment of the present invention further includes steps S301-S304.

[0126] S301: If it is detected that the scanning of the meter to be calibrated is completed, the target line width of the flexible compatible calibration bin is determined based on the type of the meter.

[0127] For example, when the scan of the meter to be calibrated is detected to be complete, embodiments of the present invention can determine the target wire width of the flexible compatible calibration chamber based on the meter type (e.g., single-phase meter, three-phase meter, etc.). Meter type information is extracted from the scan results. Based on the meter type, a predefined wire width database is queried to obtain the corresponding target wire width. This ensures that the target wire width is compatible with the size of the meter to be calibrated to ensure stability and accuracy during the calibration process.

[0128] S302. Adjust the line width of the flexible compatible inspection chamber to the target line width.

[0129] For example, in an embodiment of the present invention, a control device can send a command to a drive mechanism of the flexible compatibility test chamber to adjust the wire width. The drive mechanism adjusts the wire width according to the command until the target width is reached. A sensor or vision system is used to verify the accuracy of the adjusted wire width.

[0130] S303: Based on the adjusted wire body, clamp the meter to be calibrated, and transfer the meter to be calibrated in the meter identification area to the meter buffer area via the meter transport area to perform a calibration sequence.

[0131] For example, embodiments of the present invention can activate the clamping mechanism of the flexible and compatible calibration chamber to clamp the meter to be calibrated. A control device controls the transmission device in the meter conveying area to initiate the conveying process. The conveying area transports the meter to be calibrated along a predetermined path to the meter buffer area. Within the meter buffer area, sensors or a vision system monitor the position and status of the meters to ensure they are aligned and ready for calibration.

[0132] S304: If the meter to be calibrated is the current meter in the calibration sequence, the meter to be calibrated is transferred from the meter buffer area to the meter determination area.

[0133] For example, embodiments of the present invention can use a control device to send a transmission instruction to a transmission device in the meter transport area. The transmission device transfers the meter to be tested from the meter buffer area to the meter verification area. Verification area preparation: Before the meter arrives at the verification area, ensure that the equipment in the verification area, such as the verification device and sensors, is ready. Once the meter arrives at the verification area, the verification process is initiated and various verification tests are performed.

[0134] In this way, the embodiment of the present invention can adjust the wire width and calibrate the meter to be calibrated with appropriate calibration items, calibration procedures and calibration parameters, thereby realizing automated calibration of various types of meters without the need for manual replacement of calibration equipment and adjustment devices, reducing manual operation time and energy, lowering labor costs and improving calibration efficiency.

[0135] In addition, the present invention only needs to set up one calibration production line to realize the calibration of electric meters of various specifications and types, which reduces the space occupied by the electric meter calibration and improves space utilization.

[0136] Optionally, in the flexible intelligent calibration method compatible with calibration of multiple electric energy meters provided in an embodiment of the present invention, step S104 further includes steps B1-B4.

[0137] B1. Monitor the current environmental parameters and current calibration items in the meter calibration area.

[0138] In some embodiments, the environmental parameters include temperature, humidity, and electromagnetic field strength.

[0139] B2. Determine standard environmental parameters based on the current verification item.

[0140] Illustratively, the embodiment of the present invention searches the standard environmental parameters of each verification item stored in the control device to obtain the standard environmental parameters corresponding to the current verification item.

[0141] B3. Calculate the error between the current environmental parameters and the standard environmental parameters.

[0142] B4. If the error is greater than the set error, it is determined that the calibration parameters of the current calibration item need to be adjusted.

[0143] B5. Determine the target verification parameters based on the error between the current environmental parameters and the standard environmental parameters.

[0144] For example, after determining that the calibration parameters need to be adjusted, the errors need to be analyzed in detail first. This includes determining the source of the error (such as deviations in environmental parameters such as temperature, humidity, and electromagnetic field strength), as well as the size and nature of the error (such as positive error, negative error, systematic error, random error, etc.). Through error analysis, the specific impact of the error on the calibration results can be understood, providing a basis for subsequent algorithm selection and parameter adjustment. According to the error analysis and the characteristics of the calibration items, a suitable algorithm is selected to calculate the target calibration parameters. The choice of algorithm should take into account factors such as the error compensation effect, computational complexity, and real-time performance. Common algorithms include linear interpolation, nonlinear fitting, neural networks, etc. These algorithms can accurately adjust the calibration parameters according to the size and distribution characteristics of the error to compensate for the impact of environmental parameter deviations on the calibration results.

[0145] For example, after selecting a suitable algorithm, the target verification parameters are calculated based on the error between the current environmental parameters and the standard environmental parameters, as well as the characteristics of the verification item. The calculation process may involve multiple steps, including data preprocessing, model training, parameter optimization, etc. The specific implementation of these steps depends on the characteristics of the selected algorithm and the requirements of the verification item. After the target verification parameters are calculated, the results need to be verified. This includes applying the target verification parameters to the actual verification process and observing their impact on the verification results. Through result verification, the effectiveness and accuracy of the algorithm, as well as the applicability of the target verification parameters, can be evaluated. If the verification results show that the target verification parameters fail to achieve the expected results, it may be necessary to re-analyze the error and select the algorithm.

[0146] For example, the calculation of the target verification parameters should be able to compensate for the impact of environmental parameter deviations on the verification results. This requires that the algorithm can fully consider the deviations of environmental parameters when selecting and adjusting parameters. Through reasonable algorithm design and parameter adjustment, accurate compensation of environmental parameter deviations can be achieved, thereby improving the accuracy and stability of the verification results. In practical applications, the calculation and adjustment of target verification parameters should be carried out according to the specific verification items and environmental conditions. This includes considering factors such as the characteristics of the verification items, the fluctuation range of environmental parameters, and the requirements of the verification standards. By continuously optimizing the algorithm and adjusting the parameters, effective compensation for environmental parameter deviations can be achieved, thereby improving the reliability and accuracy of the verification results.

[0147] B6. Adjust the calibration parameters of the current calibration item to the target calibration parameters.

[0148] For example, assume that the ambient temperature requirement for a calibration item of a meter to be calibrated is 20±2°C. The current ambient temperature of the calibration area is 23°C, while the standard ambient temperature is 20°C. Embodiments of the present invention can adjust calibration parameters using a linear interpolation algorithm to compensate for the impact of ambient temperature deviation on the calibration results.

[0149] Assume that the multiple inspection points in this inspection project are as follows:

[0150] The first point is (T1, P1), where T1 = 20°C (standard ambient temperature) and P1 is the corresponding standard verification parameter (assuming it is P1).

[0151] The second point (T2, P2), where T2 = 22°C (an assumed point close to the current ambient temperature, used for linear difference), and P2 is the calibration parameter obtained through experiments at this ambient temperature (assuming it is P2).

[0152] Point 1 to be solved: (Tx1, Px1), where Tx1 = 23°C (current ambient temperature), and Px1 is the target calibration parameter to be solved.

[0153] Point 2 to be solved: (Tx2, Px2), where Tx2 = 28°C (current ambient temperature), and Px2 is the target calibration parameter to be solved.

[0154] The linear difference formula is Px = P1 + (P2-P1) * [(Tx-T1) / (T2-T1)];

[0155] Substitute the first point and the second point into the linear difference formula respectively, and calculate Px1 and Px2. In this way, the target verification parameters can be calculated by the linear difference method.

[0156] It should be noted that the relationship between different verification parameters and environmental parameters is not the same. Therefore, different verification parameters can be calculated using different algorithms, such as linear interpolation, nonlinear fitting, and neural networks.

[0157] In this way, the embodiment of the present invention can monitor the environmental parameters of the meter calibration area in real time and adjust the calibration parameters of the meter in real time to ensure the accuracy of the meter calibration result.

[0158] Optionally, the flexible intelligent calibration method compatible with calibration of multiple electric energy meters provided in an embodiment of the present invention further includes steps C1-C4.

[0159] C1. Monitor the meter body temperature and real-time calibration data of the meter in the meter calibration area;

[0160] C2. Determine the real-time status of the electric meter in the electric meter verification area based on the meter body temperature and the real-time verification data.

[0161] In some embodiments, the real-time status includes a normal test status or an abnormal status.

[0162] For example, embodiments of the present invention can set normal range thresholds for meter body temperature and calibration data based on meter calibration standards and operational experience. The control device compares the real-time monitored meter body temperature and calibration data with preset thresholds to determine whether the meter is in a normal calibration state or an abnormal state. For each meter, the control device records its current state and updates this information in real time. The control device can also perform further analysis of the meter's status, such as calculating the frequency and duration of abnormal states, to help operators understand the meter's operating status and calibration efficiency.

[0163] C3. If the electric meter in the electric meter verification area is in an abnormal state, the verification process is stopped and an alarm message is generated.

[0164] In some embodiments, the alarm information is used to instruct manual intervention on the electric meters in the electric meter verification area.

[0165] In this way, the present invention can detect the real-time status of the meter calibration process in real time, and stop the calibration process when the temperature is too high or the calibration data is disordered, so as to avoid damage to the flexible compatible calibration chamber caused by the high temperature of the meter, such as fire accidents caused by the high temperature of the meter, thereby ensuring the safety of the flexible compatible calibration chamber and the calibration process.

[0166] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0167] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0168] Figure 3 The structure diagram of a flexible intelligent verification device 400 compatible with various electric energy meter verifications provided by an embodiment of the present invention is shown. The intelligent verification device 400 includes a communication module 401 and a processing module 402 .

[0169] The communication module 401 is used to monitor the electric meter to be calibrated.

[0170] The processing module 402 is used to perform a three-dimensional scan on the meter to be calibrated if a meter to be calibrated is detected, and obtain scanned images of the meter to be calibrated at multiple angles; perform image recognition based on the scanned images of the meter to be calibrated at multiple angles and an appearance detection model to obtain appearance information and meter type of the meter to be calibrated; determine the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, based on the meter type of the meter to be calibrated; calibrate the meter to be calibrated based on the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, and obtain calibration results of each calibration item; and generate a calibration report for the meter to be calibrated based on the calibration results and appearance information.

[0171] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A flexible intelligent verification method compatible with multiple electric energy meter verifications, characterized in that: include: If the meter to be tested is detected, a three-dimensional scan is performed on the meter to be tested to obtain scan images of the meter at multiple angles; Based on the scanned images of the electric meter to be tested at multiple angles and the appearance detection model, image recognition is performed to obtain the appearance information and the type of the electric meter to be tested; Determining the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, based on the type of the meter to be calibrated; Based on the verification items of the meter to be verified, as well as the verification procedures and verification parameters of each verification item, the meter to be verified is verified to obtain the verification results of each verification item; A calibration report for the electric meter to be calibrated is generated based on the calibration result and the appearance information.

2. The flexible intelligent verification method compatible with multiple electric energy meter verification according to claim 1 is characterized in that: If the electric meter to be tested is detected, a three-dimensional scan is performed on the electric meter to obtain scan images of the electric meter to be tested at multiple angles, including: If an electric meter to be tested is detected, a preliminary scan is performed on the electric meter to determine the appearance information and scanning information of the electric meter to be tested, wherein the appearance information includes size, shape and position; the scanning information includes scanning range, resolution and scanning speed; Fixing the electric meter to be tested based on the apparent information of the electric meter to be tested; determining a plurality of scanning angles based on the scanning information; Based on each scanning angle and the scanning information, the fixed electric meter to be calibrated is scanned to obtain scanning images at the multiple angles.

3. The flexible intelligent verification method compatible with multiple electric energy meter verification according to claim 1, characterized in that: The image recognition is performed based on the scanned images of the electric meter to be tested at multiple angles and the appearance detection model to obtain the appearance information and the type of the electric meter to be tested, including: Based on the scanned images at multiple angles, image segmentation is performed to obtain a front view, a side view, and scanned images at multiple other angles of the electric meter to be calibrated; Performing feature extraction on the front view and the side view to obtain key features of the electric meter to be tested, wherein the key features represent text area features of the electric meter to be tested; generating an input vector based on the key features of the electric meter to be inspected and the scanned images at multiple angles; Based on the input vector and the appearance detection model, the appearance information and the type of the electric meter to be tested are obtained.

4. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to claim 1, characterized in that: Before performing image recognition based on the scanned images of the electric meter to be inspected at multiple angles and the appearance detection model to obtain the appearance information and the type of the electric meter to be inspected, the method further includes: Obtain scanned images of multiple sample electricity meters, as well as appearance information and meter types of the multiple sample electricity meters; the sample electricity meters include meters with normal appearance and meters with abnormal appearance, wherein the meters with abnormal appearance are meters with defects on their outer surfaces; the appearance information includes the dimensions of various parts of the meter appearance, the type of appearance defects, and the location of the appearance defects; Extracting features based on the front view and the side view of the electric meters in the scanned images of the plurality of sample electric meters to obtain key features of the plurality of sample electric meters; generating input vectors of the plurality of sample electricity meters based on the key features and the scanned images of the plurality of sample electricity meters; Taking the input vector of each sample electricity meter as input and the appearance information and meter type of each sample electricity meter as output, a plurality of training samples are determined; Based on the multiple training samples, neural network training is performed to obtain the appearance detection model.

5. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to claim 1, characterized in that: The method of determining the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item based on the type of the meter to be calibrated, includes: Based on the type of the electric meter and a preset matching rule library, determining the verification items of the electric meter to be verified, wherein the verification items include one or more of the following: error verification, fee control verification, communication verification, and durability verification; Determine the calibration parameters of each calibration item based on the meter type and calibration items; the calibration parameters include test voltage, test current, test duration, test frequency, standard error, and standard delay rate; Based on the type of the electric meter, the verification items and the verification parameters, a verification procedure for the electric meter to be verified is determined.

6. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to claim 1, characterized in that: The step of determining a calibration procedure for the meter to be calibrated based on the meter type, calibration items, and calibration parameters includes: Determining a plurality of verification schemes based on the meter type, verification items, and verification parameters, each verification scheme including a verification order for each verification item; Calculate the time required for each test plan; Based on the verification scheme with the least time consumption, a verification procedure for the electric meter to be verified is determined.

7. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to claim 1, characterized in that: The method of calibrating the meter to be calibrated based on the calibration items of the meter to be calibrated, as well as the calibration procedures and calibration parameters of each calibration item, and obtaining the calibration results of each calibration item includes: Based on the verification procedure, determining the current verification item of the electric meter to be verified; The flexible compatible calibration chamber is set based on the current calibration item of the electric meter to be calibrated and the calibration parameters of the current calibration item; Based on the set flexible compatible calibration chamber, the current calibration item is tested on the electric meter to be calibrated to obtain the test result; Based on the test results and the verification parameters of the current verification item, a verification is performed to obtain a verification result of the current verification item; Based on the verification results of each verification item, the verification results of each verification item are summarized and generated.

8. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to any one of claims 1 to 7, characterized in that: The generating of a verification report of the electric meter to be verified based on the verification result and the appearance information includes: Determining whether the electric meter to be inspected is normal based on the inspection results of each inspection item; If the meter to be inspected is normal, a verification report for the meter to be inspected is generated based on the appearance information of the meter to be inspected and the verification results of each verification item; If the electric meter to be inspected is abnormal, then based on the inspection results of each inspection item, determine the abnormal information of the electric meter to be inspected, wherein the abnormal information includes abnormal items and abnormal parameters; A calibration report of the meter to be calibrated is generated based on the appearance information of the meter to be calibrated, the calibration results of each calibration item and the abnormal information of the meter to be calibrated.

9. The flexible intelligent verification method compatible with multiple electric energy meter verifications according to any one of claims 1 to 8, characterized in that: The flexible compatible verification chamber includes an electric meter identification area, an electric meter transmission area, an electric meter buffer area, and an electric meter verification area; the method further includes: If it is detected that the scanning of the meter to be calibrated is completed, the target line width of the flexible compatible calibration bin is determined based on the type of the meter; Adjusting the line width of the flexible compatible inspection chamber to the target line width; Based on the adjusted wire body, the electric meter to be tested is clamped, and the electric meter to be tested in the electric meter identification area is transferred to the electric meter buffer area through the electric meter transfer area to perform a test sequence; If the electric meter to be calibrated is the current electric meter in the calibration sequence, the electric meter to be calibrated is transferred from the electric meter buffer area to the electric meter firming area.

10. A flexible and compatible test chamber, characterized in that: The flexible compatible calibration chamber includes an electric meter identification area, an electric meter transmission area, an electric meter cache area, an electric meter calibration area and a control device. The control device includes a memory and a processor. The memory stores a computer program. The processor is used to call and run the computer program stored in the memory to execute the steps of the method as described in any one of claims 1 to 9.

Images