Novel size detector control method

Abstract

The invention discloses a novel size detector control method, which comprises a remote data management server module, a detection terminal gateway module, a size detection execution module and a user operation module, and is characterized in that a safety communication service platform is arranged between the remote data management server module and the detection terminal gateway module; the security communication service platform comprises an application layer, a platform layer, a transmission layer and a communication layer, the application layer provides a detection security plug-in SSDK and a detection task management client, the platform layer is provided with capacity interfaces of detection flow management, data synchronization, task scheduling and the like, the transmission layer is based on the P2P technology, the encryption transmission and routing optimization capacity of detection data is achieved, and the communication layer is used for communication with the detection security plug-in SSDK and the detection task management client. And the communication layer comprises a three-network direct connection data channel and an industrial-grade data private line communication service. According to the invention, through fusion design of a secure communication architecture, intelligent voice interaction, workpiece-face dual verification and a high-precision feature extraction technology, security, intelligence, precision and standardization of a detection process are realized.

Description

Technical Field

[0001] This invention relates to the field of dimensional inspection machine technology, and more specifically to a novel dimensional inspection machine control method. Background Technology

[0002] Dimensional inspection is a crucial step in ensuring product quality in industrial production. As manufacturing moves towards intelligent and large-scale operations, higher demands are placed on the automation level, inspection accuracy, data management capabilities, and ease of operation of inspection machines. Existing dimensional inspection machine control methods suffer from several core flaws: First, insufficient data transmission security; inspection data is vulnerable to network attacks when interacting with remote servers, and the lack of a dedicated secure communication architecture leads to a high risk of data leakage or loss. Second, poor ease of operation; reliance on traditional buttons or touchscreens results in sluggish response times for parameter queries and anomaly handling in complex inspection scenarios, and insufficient flexibility to adapt to the operational needs of different roles. Third, separation of inspection and authorization verification; focusing solely on workpiece dimensional inspection without verifying user identity, increasing the risk of unauthorized operations leading to distorted inspection data or equipment malfunction. Fourth, limited inspection accuracy; traditional dimensional feature extraction algorithms and positioning techniques are insufficient to meet the high-precision inspection requirements of precision workpieces, resulting in significant errors. Summary of the Invention

[0003] The purpose of this invention is to provide a novel control method for a dimensional inspection machine, which solves the problems of insecure data transmission, inconvenient operation and interaction, lack of authorization verification, and insufficient detection accuracy in the prior art. Through the integrated design of a secure communication architecture, intelligent voice interaction, workpiece-face dual verification, and high-precision feature extraction technology, the detection process is made safer, more intelligent, more accurate, and more standardized.

[0004] To address the aforementioned technical problems, this invention provides a novel control method for a dimensional inspection machine, comprising a remote data management server module, an inspection terminal gateway module, a dimensional inspection execution module, and a user operation module. A secure communication service platform is established between the remote data management server module and the inspection terminal gateway module. This secure communication service platform includes an application layer, a platform layer, a transmission layer, and a communication layer. The application layer provides an inspection security plugin SSDK and an inspection task management client. The platform layer has interfaces for inspection traffic management, data synchronization, and task scheduling, facilitating integration with external inspection systems. The transmission layer, based on P2P technology, enables encrypted transmission and route optimization of inspection data. The communication layer includes a direct data channel connecting three major networks and an industrial-grade dedicated data line communication service.

[0005] Furthermore, it also includes an intelligent voice interaction function, the method of using the intelligent voice interaction function includes: S1. Obtain multimedia information in the detection scenario, and determine the current user performing voice interaction based on the multimedia information; S2. Determine the job group identifier of the current user based on the multimedia information; S3. Determine the corresponding voice interaction strategy based on the job group identifier, including scenario adaptation strategies such as detection parameter query, abnormal alarm feedback, and operation command response; S4. Execute the voice interaction function according to the voice interaction strategy.

[0006] Furthermore, the multimedia information includes first voice information and a detected scene image; determining the current user performing voice interaction based on the multimedia information includes: locating the sound source of the first voice information to obtain the spatial orientation of the current user; identifying candidate users located at the spatial orientation based on the detected scene image; and determining a unique current user from the candidate users through image feature matching.

[0007] Furthermore, it has dual verification functions of workpiece positioning and facial recognition, the dual verification functions including: The acquisition unit is used to simultaneously acquire the contour image of the workpiece to be inspected and the facial image of the user. The image preprocessing unit is used to perform noise reduction and grayscale correction processing on the workpiece contour image acquired by the acquisition unit, and to perform standardization preprocessing on the face image. The image processing unit is used to extract size feature information from the preprocessed workpiece contour image and extract facial feature information from the preprocessed face image. A matching unit is used to match the size feature information with a preset workpiece standard size database and the facial feature information with a system authorized user database to obtain size matching results and identity matching results, respectively. The analysis unit performs comprehensive analysis and processing based on the size matching results and identity matching results to obtain the final detection results, including the workpiece size qualification judgment and operation permission verification results.

[0008] Furthermore, the dimensional feature information includes: the length, width, thickness, hole diameter, spacing, and contour curvature radius of the key parts of the workpiece; The facial feature information includes facial organ size, facial organ color, and local facial organ features.

[0009] Furthermore, the image processing unit employs edge detection algorithms and subpixel localization technology to extract the dimensional features of the workpiece contour image. The edge detection algorithms include the Canny algorithm and the Sobel algorithm, and the subpixel localization technology is used to improve the extraction accuracy of dimensional feature information, with an error range of ≤ ±0.001mm.

[0010] The beneficial effects of this invention are: secure and reliable data transmission: the secure communication service platform adopts a four-layer architecture design, combined with SSDK security plugins, P2P encrypted transmission, and multi-channel communication options, to comprehensively ensure the security and stability of detection data transmission, avoid data leakage, loss or tampering, and meet the needs of industrial data security management.

[0011] Intelligent and convenient operation and interaction: The intelligent voice interaction function achieves accurate response through scene recognition and job adaptation, supports voice operation in multiple scenarios, requires no manual intervention, and lowers the operation threshold; it adapts to the interaction needs of different job groups, improves the flexibility and efficiency of operation, and is especially suitable for rapid response in complex detection scenarios.

[0012] Precise detection and controllable access: Dual verification function enables precise detection of workpiece size and strict control of personal access. Subpixel positioning technology and optimized edge detection algorithm control the detection error within ±0.001mm, meeting the needs of precision workpiece detection; face recognition verification avoids unauthorized operation, ensures the authenticity and validity of detection data, and standardizes the detection process.

[0013] Strong compatibility and scalability: The platform layer of the secure communication service platform provides standardized capability interfaces, which can be flexibly connected to external inspection systems; multi-channel communication adapts to different industrial network environments; the voice interaction strategy library and workpiece standard database support custom expansion, adapting to diverse inspection scenarios and workpiece types, and have a wide range of applications. Detailed Implementation

[0014] The present invention will be further described below with reference to specific embodiments, so that those skilled in the art can better understand and implement the present invention, but the embodiments are not intended to limit the present invention.

[0015] The novel size inspection machine control method provided by this invention is based on a remote data management server module, an inspection terminal gateway module, a size inspection execution module, a user operation module, and a secure communication service platform. The supporting hardware includes a high-precision industrial camera, a face camera, a microphone, a voice broadcaster, an industrial-grade display screen, and server equipment.

[0016] The secure communication service platform includes an application layer, a platform layer, a transport layer, and a communication layer. The application layer provides a detection security plugin SSDK and a detection task management client. The platform layer has interfaces for detection traffic management, data synchronization, and task scheduling. The transport layer is based on P2P technology. The communication layer includes direct data channels for three networks and industrial-grade dedicated data line communication services.

[0017] The usage method of intelligent voice interaction function includes: S1, acquiring multimedia information in the detection scenario and determining the current user performing voice interaction based on the multimedia information; S2, determining the job group identifier of the current user based on the multimedia information; S3, determining the corresponding voice interaction strategy based on the job group identifier; S4, executing the voice interaction function according to the voice interaction strategy.

[0018] The multimedia information includes first voice information and a detected scene image; determining the current operating user based on the multimedia information includes: locating the sound source of the first voice information to obtain the spatial orientation of the current operating user; identifying candidate operating users located at the detected scene image; and determining the unique current operating user from the candidate operating users through image feature matching.

[0019] The dual verification function includes an acquisition unit, an image preprocessing unit, an image processing unit, a matching unit, and an analysis unit. The acquisition unit is used to simultaneously acquire the contour image of the workpiece to be inspected and the facial image of the operator. The image preprocessing unit is used to perform noise reduction and grayscale correction on the workpiece contour image and to perform standardization preprocessing on the facial image. The image processing unit is used to extract size feature information from the preprocessed workpiece contour image and to extract facial feature information from the facial image. The matching unit is used to match the size feature information with a preset workpiece standard size database and to match the facial feature information with the system's authorized user database. The analysis unit performs comprehensive analysis based on the matching results to obtain the final detection result.

[0020] The dimensional feature information includes the length, width, thickness, hole diameter, spacing, and contour curvature radius of key parts of the workpiece; the facial feature information includes the size of facial organs, the color of facial organs, and local features of facial organs.

[0021] The image processing unit uses edge detection algorithms and subpixel localization technology to extract the size features of the workpiece contour image. The edge detection algorithms include the Canny algorithm and the Sobel algorithm. The subpixel localization technology is used to improve the extraction accuracy of size feature information, with an error range of ≤ ±0.001mm.

[0022] The specific plan is as follows: 1. Core Control Module Architecture The control module consists of a remote data management server module, a detection terminal gateway module, a dimensional detection execution module, a user operation module, and a secure communication service platform. The remote data management server module is used for storing, managing, and analyzing detection data. The detection terminal gateway module acts as a data interaction hub, connecting the detection execution module and the server module. The dimensional detection execution module is responsible for acquiring and detecting workpiece dimensions. The user operation module is used for operator input of commands and viewing of results. The secure communication service platform is deployed between the remote data management server module and the detection terminal gateway module to ensure secure data transmission and smooth interaction.

[0023] The secure communication service platform is designed with the following hierarchical structure: It includes an application layer, a platform layer, a transport layer, and a communication layer. The layers work together to achieve secure and efficient data transmission and system integration. Application layer: Provides a security plugin SSDK and a task management client. The SSDK ensures the secure encryption and decryption of detection data, and the task management client enables the creation, distribution, and status monitoring of detection tasks. Platform layer: It has interfaces for detection traffic management, data synchronization, task scheduling, etc., and can flexibly connect with external detection systems to adapt to detection needs in multiple scenarios; Transport layer: Based on P2P (Peer-to-Peer) technology, it realizes encrypted transmission and route optimization of detection data, improves data transmission rate and stability, and avoids transmission delay or data loss; Communication layer: Includes direct data channels for three networks and industrial-grade dedicated data communication services, providing diverse communication options, adapting to network environments in different industrial scenarios, and ensuring communication continuity.

[0024] 2. Intelligent voice interaction control process The control method also includes intelligent voice interaction functionality, adapting to the convenient operation needs of operators in different positions. The specific usage method is as follows: S1. Multimedia Information Acquisition: By detecting the acquisition devices (microphone, camera) associated with the terminal gateway module, multimedia information in the detection scenario is acquired. The multimedia information includes first voice information (operator voice commands) and detection scenario images. S2. Determining the operating user: Locate the sound source of the first voice information to obtain the spatial orientation of the current operating user; identify the candidate operating users in that orientation based on the detected scene image; determine the unique current operating user from the candidate operating users through image feature matching (such as facial features and clothing features); S3. Voice Interaction Strategy Matching: Based on the job group identifier of the current user (such as inspector, technician, administrator), the corresponding voice interaction strategy is determined from the system's preset strategy library, including scenario adaptation strategies such as inspection parameter query (such as inspection standards, historical data), abnormal alarm feedback (such as dimensional deviation alarm, equipment failure prompt), and operation command response (such as start inspection, pause inspection, parameter adjustment). S4. Voice Interaction Execution: Executes corresponding functions according to the matched voice interaction strategy, and provides feedback on the execution results through voice broadcast, realizing a closed-loop interaction of "voice command input - system response - voice feedback", eliminating the need for manual operation and improving ease of use.

[0025] 3. Dual verification control process of workpiece positioning and facial recognition The control method features dual verification functions of workpiece positioning and facial recognition to ensure accurate detection data and compliant operation permissions, specifically including: Acquisition Unit: Simultaneously acquires the contour image of the workpiece to be inspected and the facial image of the operator. The acquisition equipment includes a high-precision industrial camera and a face camera to ensure that the image clarity meets the processing requirements. Image preprocessing unit: performs noise reduction (removal of environmental noise and shooting interference) and grayscale correction on the acquired workpiece contour image to improve image quality; performs standardization preprocessing (such as size normalization and illumination correction) on the face image to eliminate the influence of image differences on feature extraction. Image processing unit: Extracts dimensional feature information from the preprocessed workpiece contour image, including the length, width, thickness, aperture, spacing, and contour curvature radius of key parts of the workpiece; feature extraction employs edge detection algorithms (Canny algorithm, Sobel algorithm) and sub-pixel localization technology, which can improve the detection accuracy to an error range of ≤±0.001mm; extracts facial feature information from the preprocessed face image, including facial organ size, facial organ color, and local facial organ features; Matching unit: compares the extracted workpiece size feature information with the preset workpiece standard size database to obtain the size matching result (qualified / unqualified, out-of-tolerance value); compares the facial feature information with the system's authorized user database to obtain the identity matching result (authorized / unauthorized). Analysis Unit: Based on the size matching result and identity matching result, perform comprehensive analysis and processing to obtain the final detection result: If the identity matching fails, the detection process is prohibited from continuing and a "no operation permission" prompt is displayed; if the identity matching passes, the complete result of "workpiece size qualified + permission verification passed" or "workpiece size unqualified (out of tolerance) + permission verification passed" is output in combination with the size matching result and synchronized to the remote data management server module for storage.

[0026] 4. Overall Control Process System initialization: Start each control module, and the safety communication service platform completes hierarchical self-check and communication link establishment to ensure that each module is connected normally; select the detection mode (conventional detection / high-precision detection) and the corresponding workpiece standard database through the user operation module or voice interaction function; Permission and workpiece verification: Operators complete identity authorization and workpiece positioning through a dual verification process. After the system confirms that the permissions are compliant, it enters the detection ready state. Dimensional inspection execution: The dimensional inspection execution module starts the inspection according to preset parameters, acquires the workpiece contour image, and generates the dimensional inspection result after preprocessing, feature extraction, and matching comparison; Data transmission and storage: The test results are encrypted and transmitted to the remote data management server module through the secure communication service platform for storage, backup and statistical analysis; Results feedback and interaction: The system displays the inspection results on the screen of the user operation module, and also supports voice broadcast of key information (such as "Inspection completed, workpiece qualified"); if any abnormality occurs (dimensional deviation, permission error, equipment failure), an alarm will be triggered immediately, and the cause of the abnormality and handling suggestions will be fed back through the voice interaction function; Task closure: After the test is completed, the system automatically records the test log (including operator, test time, test results, and equipment status), supporting subsequent traceability and query; the operator can start the next batch of tests by voice or manual operation, or shut down the system.

[0027] The above-described embodiments are merely preferred embodiments provided to fully illustrate the present invention, and the scope of protection of the present invention is not limited thereto. Equivalent substitutions or modifications made by those skilled in the art based on the present invention are all within the scope of protection of the present invention. The scope of protection of the present invention is defined by the claims.

Claims

1. A novel size detection machine control method, characterized by, Comprise remote data management server module, detection terminal gateway module, size detection execution module and user operation module, the remote data management server module and detection terminal gateway module between being provided with secure communication service platform; The secure communication service platform includes application layer, platform layer, transmission layer and communication layer, the application layer provides detection security plug-in SSDK and detection task management client, the platform layer has detection flow management, data synchronization, task scheduling and other capability interfaces, which are convenient for capability docking with external detection systems, the transmission layer is based on P2P technology, realizes the encryption transmission and routing optimization capability of detection data, and the communication layer includes three-network direct connection data channel and industrial-grade data dedicated line communication service.

2. The novel size detection machine control method according to claim 1, characterized by, Also include intelligent voice interaction function, the use method of the intelligent voice interaction function includes: S1, obtain multimedia information under the detection scene, and determine the current operation user for voice interaction according to the multimedia information; S2, determine the post group identifier to which the current operation user belongs according to the multimedia information; S3, determine the corresponding voice interaction strategy according to the post group identifier, including detection parameter query, abnormal alarm feedback, operation instruction response and other scene adaptation strategies; S4, execute voice interaction function according to the voice interaction strategy.

3. The novel size detection machine control method according to claim 2, characterized by, The multimedia information includes first voice information and detection scene image;Determine the current operation user for voice interaction according to the multimedia information, including: sound source positioning is carried out to the first voice information, the spatial orientation of the current operation user is obtained;The candidate operation user in the orientation is identified according to the detection scene image;The unique current operation user is determined from the candidate operation user through image feature matching.

4. The novel size detector control method according to claim 1, characterized by, It has workpiece positioning and face recognition double verification function, the double verification function includes: The acquisition unit is used for synchronously acquiring the contour image of the workpiece to be detected and the face image of the operation user; The image preprocessing unit is used for denoising, gray correction processing of the workpiece contour image collected by the acquisition unit, and standardization preprocessing of the face image; The image processing unit is used for extracting size feature information from the preprocessed workpiece contour image, and extracting face feature information from the preprocessed face image; The matching unit is used for matching the size feature information with the preset workpiece standard size database, and matching the face feature information with the system authorized user database, respectively obtaining size matching result and identity matching result; The analysis unit is used for comprehensive analysis and processing based on the size matching result and the identity matching result, and obtaining the final detection result, including workpiece size qualification judgment and operation permission verification result.

5. The novel size detection machine control method according to claim 4, wherein The size feature information includes length, width, thickness, aperture, spacing and contour curvature radius of the key parts of the workpiece; The face feature information includes face organ size, face organ color and face organ local feature.

6. The novel size detector control method according to claim 4, wherein The image processing unit adopts an edge detection algorithm and a sub-pixel positioning technology for size feature extraction of the workpiece contour image, the edge detection algorithm includes a Canny algorithm and a Sobel algorithm, and the sub-pixel positioning technology is used to improve the extraction accuracy of size feature information, and the error range is less than or equal to ±0.001 mm.