Visual data acquisition system and method in water meter verification process

Abstract

The invention discloses a visual data acquisition system and method in a water meter verification process, and relates to the field of water meter production detection, and the system comprises a matrix sensing module which is used for sensing water meter surface distance information, and constructing a water meter surface heterogeneous model based on the water meter surface distance information; the modeling module is used for constructing a water meter surface heterogeneous sample model; according to the method, dynamic debugging is conducted on the posture of the camera for collecting the water meter surface image data in combination with the distance measurement matrix, so that the water meter surface image data collected each time are aligned with the constructed water meter surface heterogeneous model and the water meter surface heterogeneous sample model in the collection stage, and therefore the consistency of the water meter surface image data is improved; furthermore, image data for water meter verification are output in combination with image segmentation and specific image enhancement processing logic, and it is guaranteed that a water meter verification system can execute verification operation through high-precision water meter surface images.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water meter production detection, in particular to a visual data acquisition system and method in the water meter calibration process. BACKGROUND

[0002] Water meter production appearance detection mainly checks whether the shell, dial and other components have cracks, deformation, rust, whether the coating is uniform and smooth, whether the scale and numbers are clear and wear-resistant, whether the interface thread is regular, whether the lead seal device is intact, and whether the appearance quality meets the standard through visual, touch and special tool measurement to avoid affecting the measurement accuracy and use safety.

[0003] In the prior art, water meter production appearance detection is often assisted by a machine vision system, which collects water meter images through a camera, detects surface scratches, stains, missing parts or misinstallation of parts, etc. by using image processing algorithms, and some systems also combine deep learning models to improve the recognition rate of complex defects. In addition, laser scanning technology is also used to detect whether the appearance contour meets the standard, and manual sampling inspection is also used to ensure the detection accuracy, so as to realize automatic or semi-automatic detection of water meter appearance size, surface quality and other multi-dimensional, improve production efficiency and product quality consistency.

[0004] However, in the process of water meter appearance detection, the accuracy of water meter surface image data collection directly affects the water meter appearance detection result, and how to accurately collect water meter surface image data still needs new collection technology to solve this technical problem. Therefore, a visual data acquisition system and method in the water meter calibration process are provided. SUMMARY

[0005] In view of the above shortcomings of the prior art, the present application provides a visual data acquisition system and method in the water meter calibration process, which can effectively solve the problems of the prior art.

[0006] To achieve the above purpose, the present application is realized by the following technical scheme. The present application discloses a visual data acquisition system in the water meter calibration process, which comprises: The matrix perception module is used for perceiving water meter surface distance information, and a water meter surface heterogeneous model is constructed based on the water meter surface distance information; the modeling module is used for constructing a water meter surface heterogeneous sample model; the analysis module is used for analyzing the similarity between the water meter surface heterogeneous model constructed by the matrix perception module in real time and the water meter surface heterogeneous sample model constructed by the modeling module, and based on the similarity analysis result, a water meter surface image data acquisition operation is performed; the selection module is used for traversing the water meter surface image data collected by the analysis module, and selecting one water meter surface image data from the water meter surface image data as water meter calibration image data; the preprocessing module is used for receiving the water meter surface image data selected as the water meter calibration image data by the selection module, and performing segmentation and enhancement processing on the image data; and the output module is used for acquiring the water meter surface image after the enhancement processing, and transmitting the water meter surface image after the enhancement processing to a water meter calibration system connected to the system.

[0007] Further, the matrix perception module is integrated by a plurality of micro distance measuring sensors, the plurality of micro distance measuring sensors are arranged at equal distances in the horizontal direction and the vertical direction, and the distance measuring ends of the micro distance measuring sensors are all located on the same plane. When the water meter is conveyed by the output conveyor to the position directly below the matrix perception module, the matrix perception module is triggered to operate. The matrix perception module is connected to a mechanical arm, and the mechanical arm controls the matrix perception module to move horizontally in a spiral manner in the triggered operating state of the matrix perception module, and in the process of the horizontal spiral movement, the water meter surface distance information is perceived based on a specified frequency, the specified frequency is not greater than 10 times per second, the horizontal spiral movement speed is not greater than 1 mm per second, and the maximum diameter of the horizontal spiral movement path is not greater than 3 mm.

[0008] Further, in the operating stage of the matrix perception module, the construction of the water meter surface heterogeneous model is synchronously performed once each time the water meter surface distance information is perceived. The distance measuring results of the micro distance measuring sensors are acquired, in the three-dimensional space, a longitudinal line segment representing each distance measuring result is drawn based on a plane, the bottom ends of the drawn line segments are located on the same plane, the arrangement postures of the micro distance measuring sensors are consistent with the bottom ends, the distances from the top ends of the drawn line segments to the bottom ends are consistent with the corresponding distance measuring results, and based on the adjacent connection of the top vertices of the line segments, a closed three-dimensional figure composed of a plurality of triangular faces is obtained, which is denoted as a water meter surface heterogeneous model.

[0009] Further, in the operating stage of the modeling module, a sample water meter is placed on the output conveyor by a user of the system end, and the sample water meter is located directly below the matrix perception module, the matrix perception module operates to perceive the sample water meter surface distance information, and a water meter surface heterogeneous sample model is constructed based on the distance information.

[0010] Further, in the micro distance sensor of the matrix perception module, a micro high-definition industrial camera is arranged in the interval space between the center position micro distance sensors, and the micro high-definition industrial camera collects water meter surface image data; The micro high-definition industrial camera is synchronously operated with each operation of the matrix perception module, and is subject to: When the matrix perception module is operated for the first time, the micro high-definition industrial camera is synchronously operated to collect a water meter surface image data, the analysis module is synchronously operated with each operation of the matrix perception module, and similarity analysis is continuously performed, and the similarity analysis result is recorded from the second operation of the matrix perception module; When the similarity analysis result is greater than the last similarity analysis result each time, the micro high-definition industrial camera is operated once to perform water meter surface image data collection, and each collected water meter surface image data is marked with its corresponding similarity analysis result; when the similarity analysis result is less than or equal to the last similarity analysis result each time, no water meter surface image data collection operation is performed; The analysis module is internally provided with a storage unit, and the storage unit is used to store the water meter surface image data collected by the micro high-definition industrial camera.

[0011] Further, the similarity analysis logic of the water meter surface heterogeneous model and the water meter surface heterogeneous sample model in the analysis module is represented as: ; In the formula: is the similarity of the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b; is the total amount of the vertex control group of the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b; is the offset distance of the vertex of the water meter surface heterogeneous model a relative to the vertex of the water meter surface heterogeneous sample model b in the i th control group; is the longest side of the bottom surface of the local model in which the vertex of the water meter surface heterogeneous model a is located, and the longest side of the bottom surface of the local model in which the vertex of the water meter surface heterogeneous model b is located in the i th control group; In the formula, each vertex in each model, that is, the vertex of each drawn line segment, is composed of two model vertices, and the two vertices are derived from the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b, respectively, and the two vertices in one vertex control group correspond to the same micro distance sensor, and the local model in which the vertex is located is a local three-dimensional model in which the side in which each vertex is located is a triangle in the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b.

[0012] Further, the selection module selects the water meter surface image data with the highest similarity analysis result as the water meter surface image data for water meter calibration, and deletes the remaining water meter surface image data from the storage unit.

[0013] Further, the system is preset to be connected to any existing water meter appearance calibration system using water meter surface images.

[0014] Further, the matrix sensing module and the modeling module are connected to the analysis module through a wireless network, the analysis module is internally connected to the storage unit through a wireless network, the analysis module is connected to the selection module through a wireless network, and the selection module is connected to the storage unit through a wireless network.

[0015] In another aspect, a visual data acquisition method in a water meter calibration process includes the following steps: A distance measurement matrix is constructed, the distance measurement matrix is used to sense distance information of a water meter surface, a water meter surface heterogeneous model is constructed based on the sensed distance information of the water meter surface, a water meter surface heterogeneous sample model is constructed by combining a sample water meter with the distance measurement matrix, water meter surface image data is acquired in real time based on similarity analysis of the water meter surface heterogeneous sample model and the water meter surface heterogeneous model, a similarity analysis result is marked for each acquired water meter surface image data, one water meter surface image data is selected based on the similarity analysis result marked for each acquired water meter surface image data, the selected water meter surface image data is used as image data for water meter calibration, the water meter surface image data used as the image data for water meter calibration is segmented and enhanced to obtain a water meter surface image, and the obtained water meter surface image is forwarded to a preset water meter calibration system to complete subsequent water meter appearance calibration work through the water meter calibration system.

[0016] Compared with the known prior art, the technical solution provided by the present application has the following beneficial effects: The application provides a visual data acquisition system and method in a water meter calibration process. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.

[0018] Figure 1 FIG. 1 is a structural schematic diagram of a visual data acquisition system in a water meter calibration process; Figure 2 FIG. 2 is a flowchart of a visual data acquisition method in a water meter calibration process; Figure 3 FIG. 3 is an example schematic diagram of a matrix perception module running posture in the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0020] The present application will be further described below in combination with the embodiments.

[0021] Embodiment 1 A visual data acquisition system in a water meter calibration process in the present embodiment, as shown in FIG. 1, comprises: Figure 1 A matrix perception module, used for perceiving water meter surface distance information, and constructing a water meter surface heterogeneous model based on the water meter surface distance information. ​The matrix sensing module is integrated by a plurality of micro distance measuring sensors, the plurality of micro distance measuring sensors are arranged at equal distances in the horizontal direction and the vertical direction, and the distance measuring ends of the micro distance measuring sensors are all in the same plane; The water meter is output by the water meter production equipment, and when the water meter is conveyed by the output conveyor to directly below the matrix sensing module, the matrix sensing module triggers operation; The matrix sensing module is connected with a mechanical arm, and the mechanical arm controls the matrix sensing module to move horizontally in a spiral under the triggered operation state of the matrix sensing module, and during the horizontal spiral movement, the distance information on the surface of the water meter is sensed based on a specified frequency, the specified frequency is not greater than 10 times per second, the horizontal spiral movement speed is not greater than 1 mm per second, and the maximum diameter of the horizontal spiral movement path is not greater than 3 mm; In the operation stage of the matrix sensing module, the construction of the heterogeneous model of the surface of the water meter is synchronously executed once each time the distance information on the surface of the water meter is sensed: The distance measuring results of the micro distance measuring sensors are obtained, in the three-dimensional space, a longitudinal line segment representing each distance measuring result is drawn based on a plane, the bottom ends of the drawn line segments are in the same plane, the arrangement postures of the micro distance measuring sensors are consistent with the bottom ends, the distances from the top ends of each drawn line segment to the bottom end are consistent with the corresponding distance measuring result, and a closed three-dimensional figure composed of a plurality of triangular faces is obtained by connecting adjacent vertices of each line segment, and is denoted as a heterogeneous model of the surface of the water meter; The modeling module is used for constructing a heterogeneous sample model of the surface of the water meter; In the operation stage of the modeling module, a sample water meter is placed on the output conveyor by a system user, and the sample water meter is directly below the matrix sensing module, the matrix sensing module senses the distance information on the surface of the sample water meter, and constructs a heterogeneous sample model of the surface of the water meter based on the distance information; The analysis module is used for analyzing the similarity between the heterogeneous model of the surface of the water meter constructed by the real-time operation of the matrix sensing module and the heterogeneous sample model of the surface of the water meter constructed by the operation of the modeling module, and based on the similarity analysis result, the acquisition operation of the image data of the surface of the water meter is executed; Among the micro distance measuring sensors of the matrix sensing module, a micro high-definition industrial camera is arranged in the interval space between the center position micro distance measuring sensors, and the high-definition industrial camera is used to acquire the image data of the surface of the water meter; The micro high-definition industrial camera is synchronously operated with each operation of the matrix sensing module, and is subject to: When the matrix sensing module is operated for the first time, the micro high-definition industrial camera is synchronously operated to acquire an image data of the surface of the water meter, the analysis module is synchronously operated with each operation of the matrix sensing module, continuously executes similarity analysis, and records the similarity analysis result from the second operation of the matrix sensing module; The micro high-definition industrial camera runs once every time the similarity analysis result is greater than the last similarity analysis result, performs collection of water meter surface image data, and each collected water meter surface image data is marked with its corresponding similarity analysis result; no collection operation of water meter surface image data is performed every time the similarity analysis result is less than or equal to the last similarity analysis result; The analysis module is internally provided with a storage unit, which is used to store the water meter surface image data collected by the micro high-definition industrial camera; The similarity analysis logic of the water meter surface heterogeneous model and the water meter surface heterogeneous sample model in the analysis module is represented as: ; In the formula: is the similarity of the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b; is the total amount of the vertex comparison groups of the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b; is the offset distance of the vertex originating from the water meter surface heterogeneous model a relative to the vertex originating from the water meter surface heterogeneous sample model b in the i th comparison group; is the longest side of the bottom surface of the local model in which the vertex originating from the water meter surface heterogeneous model a is located, and the longest side of the bottom surface of the local model in which the vertex originating from the water meter surface heterogeneous model b is located in the i th comparison group; In the formula, each vertex in each model, that is, the vertex of each drawn line segment, is composed of two model vertices, and the two vertices originate from the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b, respectively, and the two vertices in one vertex comparison group correspond to the same micro distance sensor, and the local model in which the vertex is located is a local three-dimensional model in which the side in which each vertex is located is a triangle in the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b; Through the above logical formula, the offset distance of the corresponding vertices in the water meter surface heterogeneous model and the water meter surface heterogeneous sample model is used to measure the difference between the two models, and the parameter The numerator is normalized to limit the total difference between the two models to be within the range of 0-1, and then 1 is subtracted from the above normalized and averaged value to obtain the similarity of the two models, which can well reflect the similarity of the two models, thereby providing logical support for the selection of subsequent water meter surface image data; The selection module is used to traverse the water meter surface image data collected by the analysis module, select one water meter surface image data from the water meter surface image data as the water meter calibration image data, and output the selected water meter calibration image data. The selection module traverses the water meter surface image data stored in the storage unit as the traversal target group, performs a traversal operation, and selects the water meter surface image data based on the similarity analysis result of each water meter surface image data, so that the water meter surface image data with the highest similarity analysis result is selected, and the remaining water meter surface image data is deleted as a deletion target in the storage unit; The preprocessing module is configured to receive the water meter surface image data as the image data for water meter calibration in the selection module, and perform segmentation and enhancement processing on the image data; The segmentation operation of the water meter surface image data in the preprocessing module is subject to: In the system configuration and deployment stage, the color of the conveyor belt outputting the water meter is set to be different from the color of each component of the water meter, so that the pixel-level color pixel blocks are distinguished to obtain a pixel set representing the water meter surface image, and then the segmentation operation is performed on the water meter surface image data based on the pixel set to segment the image of the region where the water meter surface is located from the water meter surface image data, i.e., the water meter surface image, and further perform enhancement processing on the water meter surface image; The enhancement processing operation of the water meter surface image in the preprocessing module is subject to: ; In the formula: is the enhanced image; is a local adaptive coefficient; is a gray scale transformation coefficient; is the original water meter surface image; is a power transformation exponent; is a filter fusion coefficient; indicates that the original water meter surface image is subjected to Gaussian filtering; is an offset; It should be noted that: ; In the formula: is the variance of the local region of the image; is a preset minimum variance threshold; is a constant, which is in the range of 0-1; is the local mean of the image; is the global maximum mean of the image; is a very small positive number, and the default value is 0.1; is the contrast of the local region; is the global average contrast; is an adjustment factor; is the edge strength of the image; is the maximum edge intensity value in the image; is the adjustment coefficient; is the gray histogram of the local region I(x, y); is the mean value of the gray histogram; is the preset target average brightness value; The formula can dynamically adjust the enhancement strategy according to the local features of the image through a plurality of adaptive parameters, adapt to water meter images under different illumination conditions, noise levels and image contents, and effectively suppress noise while enhancing image details by combining nonlinear gray scale transformation, Gaussian filtering and adaptive adjustment, thereby avoiding the problems of over-enhancement or detail loss that may occur in traditional methods, and focusing on improving the clarity and recognizability of key information such as dial scales and numbers, thereby providing high-quality image data for subsequent image recognition and reading analysis; The output module is configured to obtain the enhanced water meter surface image and transmit the enhanced water meter surface image to a water meter calibration system connected to the system; The water meter calibration system connected to the system is any existing system for calibrating the appearance of a water meter through a water meter surface image; The matrix perception module and the modeling module are interactively connected to the analysis module through a wireless network, the analysis module internally has a storage unit interactively connected through a wireless network, the analysis module is interactively connected to the selection module through a wireless network, the selection module is interactively connected to the storage unit through a wireless network, and the selection module is interactively connected to the preprocessing module and the output module through a wireless network.

[0022] In this embodiment, the matrix perception module runs to perceive the water meter surface distance information, the water meter surface heterogeneous model is constructed based on the water meter surface distance information, the modeling module synchronously constructs the water meter surface heterogeneous sample model, the analysis module runs to analyze the similarity between the water meter surface heterogeneous model constructed by the matrix perception module in real time and the water meter surface heterogeneous sample model constructed by the modeling module, based on the similarity analysis result, the water meter surface image data acquisition operation is executed, the storage unit synchronously stores the water meter surface image data collected by the miniature high-definition industrial camera, the selection module iteratively analyzes the water meter surface image data collected by the analysis module, selects one piece of water meter surface image data from the water meter surface image data as the image data for water meter calibration, and receives the water meter surface image data as the image data for water meter calibration in the selection module, the image data is segmented and enhanced by the preprocessing module, and finally the enhanced water meter surface image is obtained by the output module, and the enhanced water meter surface image is transmitted to the water meter calibration system connected to the system.

[0023] It should be noted that the water meter calibration system mentioned by the output module is preset by the system end user. The water meter calibration system determines whether the appearance of the water meter is qualified through water meter surface image analysis, for example: a water meter detection system based on YOLOv5, a water meter reading recognition system based on CRNN.

[0024] In the above embodiment, the system constructs a heterogeneous model by sensing the water meter surface distance information, and collects images through similarity analysis with the sample model. The water meter surface image with the highest reference value can be accurately captured. In the collection process, the images are dynamically selected and preprocessed according to the similarity analysis results to ensure that high-quality calibration images are obtained. This method realizes intelligent and accurate collection of water meter surface images. Compared with the traditional collection method, the accuracy and effectiveness of image collection are improved, which provides more reliable data support for water meter appearance calibration and improves the quality and precision of water meter calibration results.

[0025] Referring to Figure 3 The upper spiral line in the figure shows the horizontal spiral movement of the matrix sensing module of the mechanical arm control matrix, and the lower arrow matrix shows the distribution posture of the micro distance measuring sensor in the matrix sensing module and the opposite direction.

[0026] Embodiment 2: In the specific implementation level, based on embodiment 1, this embodiment refers to Figure 2 Further specific description is made to the visual data collection system in the water meter calibration process in embodiment 1: A visual data collection method in a water meter calibration process, comprising the following steps: Step 1: Construct a distance measuring matrix, apply the distance measuring matrix to sense the water meter surface distance information, and construct a water meter surface heterogeneous model based on the sensed water meter surface distance information; Step 2: Construct a water meter surface heterogeneous sample model by combining the distance measuring matrix with the sample water meter, and collect water meter surface image data in real time based on the similarity analysis of the water meter surface heterogeneous sample model and the water meter surface heterogeneous model; Step 3: Label the similarity analysis result for each collected water meter surface image data, select one water meter surface image data based on the similarity analysis result labeled for each collected water meter surface image data, and take the selected water meter surface image data as water meter calibration image data; Step 4: Segment and enhance the water meter surface image data as water meter calibration image data to obtain a water meter surface image; Step 5: Forward the obtained water meter surface image to the preset water meter calibration system, and complete the subsequent water meter appearance calibration work through the water meter calibration system.

[0027] To sum up, in the implementation process of the system and method in the above embodiments, the camera pose for collecting the water meter surface image data is dynamically adjusted in combination with the ranging matrix, so that the water meter surface image data collected each time is aligned with the constructed water meter surface heterogeneous model and the water meter surface heterogeneous sample model in the collection stage, thereby improving the consistency of the water meter surface image data. Further, the image segmentation and specific image enhancement processing logic are combined to output the water meter calibration image data, so that the water meter calibration system can perform calibration operation with high-precision water meter surface image, effectively optimize the water meter surface image collection process, and further optimize the precision of the calibration result of the water meter calibration system.

[0028] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A visual data acquisition system in a water meter verification process, characterized by, The utility model relates to a water meter surface image data acquisition method and system, including: a matrix sensing module for sensing water meter surface distance information and constructing a water meter surface heterogeneous model based on the water meter surface distance information; a modeling module for constructing a water meter surface heterogeneous sample model; an analysis module for analyzing the similarity between the water meter surface heterogeneous model constructed by the matrix sensing module in real time and the water meter surface heterogeneous sample model constructed by the modeling module, and performing a water meter surface image data acquisition operation based on the similarity analysis result; a selection module for traversing the water meter surface image data acquired by the analysis module, selecting one water meter surface image data from the water meter surface image data as water meter calibration image data, and performing segmentation and enhancement processing on the water meter surface image data selected as the water meter calibration image data by the selection module; an output module for obtaining the water meter surface image after enhancement processing and transmitting the water meter surface image to a water meter calibration system connected to the system. The matrix sensing module is integrated by a plurality of miniature distance measuring sensors, the plurality of miniature distance measuring sensors are arranged at equal distances in the horizontal and vertical directions, and the distance measuring ends of the miniature distance measuring sensors are all located on the same plane.

2. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The water meter is output by a water meter production device, and the matrix sensing module is triggered to operate when the water meter is delivered by an output conveyor to directly below the matrix sensing module. The matrix sensing module is connected to a mechanical arm, the mechanical arm controls the horizontal spiral movement of the matrix sensing module in the triggered operation state of the matrix sensing module, and the matrix sensing module senses the water meter surface distance information based on a specified frequency during the horizontal spiral movement, the specified frequency is not greater than 10 times per second, the horizontal spiral movement speed is not greater than 1 mm / s, and the maximum diameter of the horizontal spiral movement path is not greater than 3 mm. During the operation of the matrix sensing module, the construction of the water meter surface heterogeneous model is performed once synchronously each time the water meter surface distance information is sensed.

3. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The distance measuring results of the miniature distance measuring sensors are obtained, longitudinal line segments representing the distance measuring results are drawn on a plane in a three-dimensional space, the bottom ends of the drawn line segments are located on the same plane, the arrangement postures of the miniature distance measuring sensors are consistent with the bottom ends, the distances from the top ends of the drawn line segments to the bottom ends are consistent with the corresponding distance measuring results, and a closed three-dimensional figure composed of a plurality of triangular faces is obtained by connecting the adjacent vertices of the line segments, which is denoted as the water meter surface heterogeneous model. During the operation of the modeling module, a sample water meter is placed on the output conveyor by a user of the system, the sample water meter is located directly below the matrix sensing module, the matrix sensing module senses the sample water meter surface distance information, and the water meter surface heterogeneous sample model is constructed based on the distance information.

4. A visual data acquisition system in a water meter verification process according to claim 1, wherein, Among the miniature distance measuring sensors of the matrix sensing module, miniature high-definition industrial cameras are arranged in the spacing between the center position miniature distance measuring sensors, and the high-definition industrial cameras are used to acquire water meter surface image data.

5. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The miniature high-definition industrial cameras are synchronously operated with each operation of the matrix sensing module, and are subject to ​ The matrix perception module runs for the first time, and the miniature high-definition industrial camera synchronously runs to collect a water meter surface image data, and the analysis module synchronously runs following each running of the matrix perception module to continuously perform similarity analysis, and the similarity analysis result is recorded starting from the second running of the matrix perception module; In each similarity analysis result is greater than the last similarity analysis result, the miniature high-definition industrial camera runs once to perform water meter surface image data collection, and each collected water meter surface image data is marked with its corresponding similarity analysis result; In each similarity analysis result is less than or equal to the last similarity analysis result, no water meter surface image data collection operation is performed; The analysis module is internally provided with a storage unit for storing the water meter surface image data collected by the miniature high-definition industrial camera.

6. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The similarity analysis logic of the water meter surface heterogeneous model and the water meter surface heterogeneous sample model in the analysis module is represented as: ； In the formula: is the similarity of the water meter surface isomorphic model a and the water meter surface isomorphic sample model b; is the total amount of vertex pairs in the water meter surface isomorphic model a and the water meter surface isomorphic sample model b; is the offset distance of the vertex originating from the water meter surface isomorphic model a relative to the vertex originating from the water meter surface isomorphic sample model b in the i th control group; is the longest side of the bottom surface of the local model in which the vertex originating from the water meter surface isomorphic model a is located, and the longest side of the bottom surface of the local model in which the vertex originating from the water meter surface isomorphic model b is located in the i th control group. Each vertex in each model, i.e., the vertex of each drawn line segment, is composed of two model vertices, and the two vertices are derived from the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b, respectively. In one vertex pair, the two vertices correspond to the same miniature distance measuring sensor, and the local model where the vertex is located is the water meter surface heterogeneous model a and the water meter surface heterogeneous sample model b. The side where each vertex is located is a triangular local solid model.

7. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The selection module takes the water meter surface image data stored in the storage unit as the traversal target group when traversing the water meter image data, performs the traversal operation, and selects the water meter surface image data based on the similarity analysis result marked by each water meter surface image data, so that the water meter surface image data with the highest similarity analysis result is selected, and the remaining water meter surface image data is deleted in the storage unit.

8. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The system is pre-connected to a water meter calibration system, which is any existing system that performs water meter appearance calibration through water meter surface image.

9. A visual data acquisition system in a water meter verification process according to claim 1, wherein, The matrix perception module and the modeling module are interactively connected to the analysis module through a wireless network, the analysis module is internally connected to the storage unit through a wireless network, the analysis module is interactively connected to the selection module through a wireless network, the selection module is interactively connected to the storage unit through a wireless network, and the selection module is interactively connected to the preprocessing module and the output module through a wireless network.

10. A method for visual data acquisition in a water meter verification process, the method being a method for implementing a system for visual data acquisition in a water meter verification process according to any one of claims 1 to 9, characterized in that, The steps include: Step 1: Construct a distance measuring matrix, perceive water meter surface distance information by applying the distance measuring matrix, and construct a water meter surface heterogeneous model based on the perceived water meter surface distance information; Step 2: Construct a water meter surface heterogeneous sample model by combining a sample water meter with a distance measuring matrix, and collect water meter surface image data based on similarity analysis between the water meter surface heterogeneous sample model and the water meter surface heterogeneous model; Step 3: Mark the similarity analysis result for each collected water meter surface image data, select a water meter surface image data based on the similarity analysis result marked by each collected water meter surface image data, and use the selected water meter surface image data as water meter calibration image data; Step 4: the water meter surface image data as image data for water meter calibration is segmented and enhanced to obtain a water meter surface image; Step 5: the obtained water meter surface image is forwarded to a preset water meter calibration system, and subsequent water meter appearance calibration is completed by the water meter calibration system.

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