A Machine Vision-Based Method and System for Monitoring Cable Head Fabrication

Abstract

This invention provides a machine vision-based method and system for monitoring cable head manufacturing, comprising: acquiring on-site image information of cable head manufacturing based on machine vision; matching the on-site image information of cable head manufacturing with a preset manufacturing process feature set to obtain the current operation step, thereby obtaining the current manufacturing progress of the cable head; calculating the current process completion index of the cable head based on the on-site image information of the cable head manufacturing; and comparing the current process completion index of the cable head with a preset standard process index set to obtain the current process completion quality. The machine vision-based cable head manufacturing monitoring method proposed in this invention overcomes the technical problems associated with manual monitoring, simultaneously monitoring the cable head manufacturing process and judging the process quality at each process point, improving the efficiency and accuracy of cable head manufacturing monitoring, reducing manpower and monitoring difficulty, and can be applied on a large scale in production.

Description

Technical Field

[0001] This invention relates to the field of power distribution engineering monitoring technology, and in particular to a method and system for monitoring cable head fabrication based on machine vision. Background Technology

[0002] With the rapid development of science and technology, power supply lines have evolved from the era of traditional bare conductors to the modern era of cable power transmission. Due to the inherent characteristics of cables, they offer advantages such as safety, ease of installation, and low power transmission loss, thus increasingly replacing traditional bare conductors in various applications. However, electrical engineers need to handle numerous intermediate joints and terminations when laying cables. These joints and terminations are the weakest points in cable lines, and the manufacturing process is crucial to achieving optimal quality.

[0003] However, monitoring is difficult during the fabrication of intermediate and terminal cable heads. Generally, manual monitoring of the cable head fabrication process is used. However, since monitoring requires not only understanding the operator's work and usage procedures, but also assessing the current state of the cable head to ensure correct operation, this process necessitates highly experienced senior engineers. It is time-consuming and labor-intensive, difficult to implement on a large scale in actual production, and prone to oversights due to the inherent limitations of manual monitoring, thus its effectiveness is not ideal. Summary of the Invention

[0004] The present invention aims to provide a method and system for monitoring cable head manufacturing based on machine vision, so as to solve the above-mentioned technical problems, improve the efficiency and accuracy of cable head manufacturing monitoring, save human resources, and be suitable for large-scale production.

[0005] To address the aforementioned technical problems, this invention provides a machine vision-based cable head fabrication monitoring method, comprising the following steps:

[0006] Acquiring on-site image information of cable head fabrication based on machine vision;

[0007] Match the on-site image information of cable head fabrication with the preset fabrication process feature set to obtain the current operation step and thus obtain the current fabrication progress of the cable head.

[0008] Calculate the current process completion index of the cable head based on the on-site image information of the cable head fabrication site;

[0009] The current process completion index of the cable head is compared with the preset standard process index set to obtain the completion quality of the current process.

[0010] The above solution utilizes machine vision technology to simultaneously acquire multi-directional, multi-angle, and multi-point images of the cable head fabrication site, achieving high efficiency and accuracy. These images can also be stored as historical data, facilitating subsequent technical improvements and troubleshooting. Furthermore, by matching the acquired images with a pre-defined set of fabrication process features that reflect the characteristics of the cable head fabrication process, the current operational step can be identified. This process enables the identification of on-site operational steps, achieving the goal of monitoring the cable head fabrication process without requiring senior engineers to supervise, thus reducing monitoring costs. Finally, this solution calculates the current process completion index of the cable head fabrication based on the images and compares it with a pre-defined set of labeled process indices, enabling the assessment of the current process quality.

[0011] The proposed solution is a machine vision-based cable head manufacturing monitoring method that overcomes the technical problems associated with manual monitoring. It enables the monitoring of the cable head manufacturing process and simultaneously assesses the quality of each process point, improving the efficiency and accuracy of cable head manufacturing monitoring, reducing manpower and monitoring difficulty, and can be applied on a large scale in production.

[0012] Furthermore, the step of matching the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head is as follows:

[0013] The manufacturing process feature set is used to establish the characteristics of different operation steps in the cable head manufacturing process, including typical behavioral characteristics, tool characteristics, and cable head status characteristics.

[0014] The on-site image information of cable head fabrication is matched with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head.

[0015] The above-mentioned solution constructs a feature set of the manufacturing process to establish the characteristics of different operational steps in the cable head manufacturing process. It primarily determines the current operational step by judging the main characteristics of the current operation. In the cable head manufacturing process, typical behavioral characteristics, tool characteristics, and cable head status characteristics are all key judgment features. By matching the acquired on-site image information of the cable head manufacturing process with these judgment features, the current operational step can be quickly obtained, thus enabling the tracking of the current progress of the cable head manufacturing process.

[0016] Furthermore, the step of matching the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head is as follows:

[0017] The on-site image information for cable head fabrication includes work posture information, tool information, and cable head status information;

[0018] Match the work posture information with typical behavioral features to obtain behavioral feature matching results;

[0019] Match the tool information with the tool features to obtain the tool feature matching results;

[0020] Match the cable head status information with the cable head status features to obtain the cable head status feature matching results;

[0021] The current operation steps are obtained based on the matching results of behavioral features, tool features, and cable head status features, so as to obtain the current production progress of the cable head.

[0022] In the above solution, by combining machine vision technology with a production process feature set, machine vision can be used to identify the human's work posture, tool usage, and cable head status information within the monitored field of view. This information is then mapped to the corresponding judgment features in the production process feature set, allowing for rapid determination of the current operation step. The key to determining the current operation step lies in the fact that each step in the preset production process feature set is determined by typical behavioral features, tool features, and cable head status features. Specifically, the work posture, tool, and cable head status information in the cable head production site images acquired by machine vision are compared one-to-one with the typical behavioral, tool, and cable head status features in the production process feature set to obtain the corresponding step as the current operation step.

[0023] Furthermore, the step of obtaining the current operation step based on the behavioral feature matching result, tool feature matching result, and cable head status feature matching result to obtain the current cable head manufacturing progress is as follows:

[0024] If both the behavioral feature matching result and the tool feature matching result exist, it means that the matching is successful, and the operation step corresponding to the production process feature set is taken as the current operation step.

[0025] If the behavioral feature matching result or the tool feature matching result does not exist, it means that the matching has failed. Then, it is determined whether the cable head status feature matching result meets the preset requirements. If so, the operation step corresponding to the production process feature set is taken as the current operation step; otherwise, the cable head production site image information is re-acquired for matching.

[0026] The current progress of cable head manufacturing is obtained based on the current operating steps.

[0027] In the above scheme, on the one hand, in the cable head fabrication process, it is generally only necessary to determine the working posture information and tool information to identify which operation step the cable head is currently in. On the other hand, since the working posture information is variable, in order to avoid the acquired working posture information failing to match typical behavioral characteristics and thus affecting monitoring efficiency, the cable head status information can be used as the basis for judgment. By setting certain requirements, when the cable head status feature matching result meets the requirements, it can also correspond to the current operation of the cable head.

[0028] Furthermore, the step of comparing the current process completion index of the cable head with a preset set of standard process indices to obtain the completion quality of the current process specifically involves:

[0029] The preset standard process index set includes the labeled process index corresponding to each step of cable head fabrication.

[0030] The current process completion index of the cable head is compared with the marked process index corresponding to the current operation step to obtain the completion quality of the current process.

[0031] In the above scheme, the current process completion index of the cable head is calculated based on the on-site image information of the cable head manufacturing process and compared with the preset set of marked process indices, thereby realizing the judgment of the current process quality.

[0032] This invention also provides a machine vision-based cable head fabrication monitoring system, including an image information acquisition module, a current step matching module, a current process completion index calculation module, and a current process quality comparison module; wherein:

[0033] The image information acquisition module is used to acquire on-site image information of cable head fabrication based on machine vision.

[0034] The current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus obtain the current fabrication progress of the cable head.

[0035] The current process completion index calculation module is used to calculate the current process completion index of the cable head based on the on-site image information of the cable head fabrication site.

[0036] The current process quality comparison module is used to compare the current process completion index of the cable head with a preset set of standard process indices to obtain the completion quality of the current process.

[0037] Furthermore, the current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step, thereby obtaining the current fabrication progress of the cable head, specifically as follows:

[0038] The manufacturing process feature set is used to establish the characteristics of different operation steps in the cable head manufacturing process, including typical behavioral characteristics, tool characteristics, and cable head status characteristics.

[0039] The on-site image information of cable head fabrication is matched with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head.

[0040] Furthermore, the current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step, thereby obtaining the current fabrication progress of the cable head, specifically as follows:

[0041] The on-site image information for cable head fabrication includes work posture information, tool information, and cable head status information;

[0042] Match the work posture information with typical behavioral features to obtain behavioral feature matching results;

[0043] Match the tool information with the tool features to obtain the tool feature matching results;

[0044] Match the cable head status information with the cable head status features to obtain the cable head status feature matching results;

[0045] The current operation steps are obtained based on the matching results of behavioral features, tool features, and cable head status features, so as to obtain the current production progress of the cable head.

[0046] Furthermore, in the current step matching module, the step of obtaining the current operation step based on the behavioral feature matching result, the tool feature matching result, and the cable head status feature matching result to obtain the current cable head manufacturing progress is specifically as follows:

[0047] If both the behavioral feature matching result and the tool feature matching result exist, it means that the matching is successful, and the operation step corresponding to the production process feature set is taken as the current operation step.

[0048] If the behavioral feature matching result or the tool feature matching result does not exist, it means that the matching has failed. Then, it is determined whether the cable head status feature matching result meets the preset requirements. If so, the operation step corresponding to the production process feature set is taken as the current operation step; otherwise, the cable head production site image information is re-acquired for matching.

[0049] The current progress of cable head manufacturing is obtained based on the current operating steps.

[0050] Furthermore, the current process quality comparison module is used to compare the current process completion index of the cable head with a preset set of standard process indices to obtain the current process completion quality. Specifically, this is done as follows:

[0051] The preset standard process index set includes the labeled process index corresponding to each step of cable head fabrication.

[0052] The current process completion index of the cable head is compared with the marked process index corresponding to the current operation step to obtain the completion quality of the current process. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of a machine vision-based cable head fabrication and monitoring method according to an embodiment of the present invention.

[0054] Figure 2 This is a schematic diagram of the connection of a cable head fabrication and monitoring system module based on machine vision, according to an embodiment of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see Figure 1 This embodiment provides a machine vision-based cable head fabrication monitoring method, including the following steps:

[0057] S1: Obtain on-site image information of cable head fabrication based on machine vision;

[0058] S2: Match the on-site image information of cable head fabrication with the preset fabrication process feature set to obtain the current operation step and thus obtain the current fabrication progress of the cable head;

[0059] S3: Calculate the current process completion index of the cable head based on the on-site image information of the cable head fabrication site;

[0060] S4: Compare the current process completion index of the cable head with the preset standard process index set to obtain the completion quality of the current process.

[0061] This embodiment utilizes machine vision technology to simultaneously acquire multi-directional, multi-angle, and multi-point images of the cable head fabrication site, achieving high efficiency and accuracy. Furthermore, these images can be stored as historical data for future technical improvements and troubleshooting. Simultaneously, by matching the acquired images with a preset set of fabrication process features that reflect the characteristics of the cable head fabrication process, the current operation step is determined. This process enables the identification of on-site operation steps, achieving the goal of monitoring the cable head fabrication process without requiring senior engineers to supervise, thus reducing monitoring costs. Finally, this solution calculates the current process completion index of the cable head fabrication based on the images and compares it with a preset set of labeled process indices, enabling the assessment of the current process quality.

[0062] The cable head manufacturing monitoring method proposed in this embodiment can overcome the technical problems caused by manual monitoring. It can judge the process quality of each process point while monitoring the cable head manufacturing process, thereby improving the efficiency and accuracy of cable head manufacturing monitoring, reducing manpower and monitoring difficulty, and can be applied on a large scale in production.

[0063] It should be noted that the machine vision technology used in this embodiment is implemented using a machine vision system, which replaces the human eye in measurement and judgment. This includes image acquisition devices such as CMOS or CCD. In practical use, the machine vision system can convert the monitored target into image signals, which are then transmitted to a dedicated image processing system to obtain the target's shape information. Based on pixel distribution, brightness, color, and other information, this information is converted into corresponding digital signals. Finally, the image processing system performs various operations on these digital signals to extract the target's features, which can then be used for logical judgment. In this embodiment, the features are the on-site image information of cable head fabrication.

[0064] Furthermore, the step of matching the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head is as follows:

[0065] The manufacturing process feature set is used to establish the characteristics of different operation steps in the cable head manufacturing process, including typical behavioral characteristics, tool characteristics, and cable head status characteristics.

[0066] The on-site image information of cable head fabrication is matched with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head.

[0067] This embodiment constructs a feature set of the manufacturing process to establish the characteristics of different operation steps in the cable head manufacturing process. It primarily determines the current operation step by judging the main characteristics of the current operation. In the cable head manufacturing process, typical behavioral characteristics, tool characteristics, and cable head status characteristics are all key judgment features. By matching the acquired cable head manufacturing site image information with these judgment features, the current operation step can be quickly obtained, thus enabling the acquisition of the current progress of the cable head manufacturing process.

[0068] Furthermore, the step of matching the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head is as follows:

[0069] The on-site image information for cable head fabrication includes work posture information, tool information, and cable head status information;

[0070] Match the work posture information with typical behavioral features to obtain behavioral feature matching results;

[0071] Match the tool information with the tool features to obtain the tool feature matching results;

[0072] Match the cable head status information with the cable head status features to obtain the cable head status feature matching results;

[0073] The current operation steps are obtained based on the matching results of behavioral features, tool features, and cable head status features, so as to obtain the current production progress of the cable head.

[0074] In this embodiment, by combining machine vision technology with a production process feature set, machine vision can be used to identify the human's work posture information, tool usage information, and cable head status information within the monitored field of view. This information is then mapped to the corresponding judgment features in the production process feature set, allowing for quick determination of the current operation step. The key to determining the current operation step lies in the fact that each step in the preset production process feature set is determined by typical behavioral features, tool features, and cable head status features. Specifically, the work posture information, tool information, and cable head status information in the cable head production site image information acquired by machine vision are compared one-to-one with the typical behavioral features, tool features, and cable head status features in the production process feature set to obtain the corresponding step as the current operation step.

[0075] Furthermore, the step of obtaining the current operation step based on the behavioral feature matching result, tool feature matching result, and cable head status feature matching result to obtain the current cable head manufacturing progress is as follows:

[0076] If both the behavioral feature matching result and the tool feature matching result exist, it means that the matching is successful, and the operation step corresponding to the production process feature set is taken as the current operation step.

[0077] If the behavioral feature matching result or the tool feature matching result does not exist, it means that the matching has failed. Then, it is determined whether the cable head status feature matching result meets the preset requirements. If so, the operation step corresponding to the production process feature set is taken as the current operation step; otherwise, the cable head production site image information is re-acquired for matching.

[0078] The current progress of cable head manufacturing is obtained based on the current operating steps.

[0079] On the one hand, in the cable head fabrication process, it is generally only necessary to determine the working posture information and tool information to identify which operation step the cable head is currently in. On the other hand, since the working posture information is variable, in order to avoid the acquired working posture information failing to match typical behavioral characteristics and thus affecting monitoring efficiency, the cable head status information can be used as the basis for judgment. By setting certain requirements, when the cable head status feature matching result meets the requirements, it can also correspond to the current operation of the cable head.

[0080] Furthermore, the step of comparing the current process completion index of the cable head with a preset set of standard process indices to obtain the completion quality of the current process specifically involves:

[0081] The preset standard process index set includes the labeled process index corresponding to each step of cable head fabrication.

[0082] The current process completion index of the cable head is compared with the marked process index corresponding to the current operation step to obtain the completion quality of the current process.

[0083] In this embodiment, the current process completion index of the cable head is calculated based on the on-site image information of the cable head manufacturing process and compared with a preset set of marked process indices, thereby realizing the judgment of the current process quality.

[0084] It should be noted that the preset set of labeled process indices corresponds one-to-one with the features in the production process feature set. That is, each feature in the production process feature set has a corresponding standard process index. In the implementation process, it is only necessary to obtain the standard process index corresponding to the operation step corresponding to the current process completion index of the cable head and compare it, thereby realizing the judgment of the current process quality.

[0085] It should be further explained that the current process completion index of the cable head is calculated based on the cable head status information in the on-site image information of the cable head manufacturing process.

[0086] In this embodiment, each feature in the manufacturing process feature set is associated with a standard process feature index, which can be compared more precisely with the current process completion index of the cable head. This allows for a more detailed determination of whether the cable manufacturing process meets the operational specifications and whether the manufacturing process quality meets the standards. This can help operators master the operation skills of cable head manufacturing more accurately and quickly, and can also accurately measure the process quality of cable head manufacturing during on-site operations, ensuring project quality.

[0087] In this embodiment, due to the high requirements for process quality, the cable stripping and reassembly processes are cumbersome. Previously, practical training in cable termination made it difficult to fully utilize training opportunities to improve trainees' operational skills. Therefore, this embodiment allows for effective perception of the cable termination process during training, gradual identification of work steps, detection of process quality for steps such as stripping, wrapping, and sheathing, and provides relevant operational prompts. This helps operators deeply understand the operational methods for key points of the work.

[0088] Furthermore, to more clearly illustrate the technical points of the present invention and highlight its technical effects, this embodiment provides a specific application process of a machine vision-based cable head fabrication monitoring method, specifically as follows:

[0089] Establish a feature set for the manufacturing process to define the characteristics of different operational steps in the cable head manufacturing process, including the tool and equipment characteristics required for each step (Q1-Q). n Typical behavioral characteristics (X1-X) n Cable head condition characteristics (Z1-Z) n The combination of tools, human actions, and cable joint status can be used to deduce the corresponding steps in the cable head manufacturing process library.

[0090] A standard process index set is established to quantify the quality of process points in cable head manufacturing. The process index set is marked to correspond one-to-one with the features in the manufacturing process feature set. That is, each feature in the manufacturing process feature set has a corresponding standard process index. In the implementation process, it is only necessary to obtain the standard process index corresponding to the operation step corresponding to the current process completion index of the cable head and compare it, thereby realizing the judgment of the current process quality.

[0091] Machine vision is used to acquire on-site image information of cable head fabrication, including work posture information (X). s ), Tools and Equipment Information (Q) s ) and cable head status information (Z s The image information of the cable head fabrication site is matched with a preset fabrication process feature set to obtain the current operation step, thereby determining the current fabrication progress of the cable head. Specifically:

[0092] Let A n The set of features that must be included in each step of the cable head manufacturing process is as follows:

[0093] A n ={Q n X n Z n}

[0094] Let A s To acquire the features of the cable head fabrication site image based on machine vision, we have:

[0095] A s ={Q s X s Z s}

[0096] By matching the two sets, if the match meets the conditions, the current situation is considered to be in state A. n The steps and matching conditions are:

[0097] like

[0098] and

[0099] Then A s =A n ;

[0100] At this point, the current operation steps and the current progress of cable head fabrication can be initially obtained. However, in practical applications, since the operation posture information is variable, in order to avoid the acquisition of operation posture information not being matched with typical behavioral characteristics and affecting monitoring efficiency, the cable head status information can be used as the judgment basis. By setting certain requirements, when the cable head status feature matching result meets the requirements, it can also correspond to the current operation of the cable head.

[0101] Specifically, if both behavioral feature matching results and tool feature matching results exist, that is... and If the match is successful, the operation step corresponding to the production process feature set will be used as the current operation step. If the behavior feature matching result or tool feature matching result does not exist, the match will fail. In this case, it will be determined whether the cable head status feature matching result meets the preset requirements. If it does, the operation step corresponding to the production process feature set will be used as the current operation step. Otherwise, the cable head production site image information will be re-acquired for matching.

[0102] In actual implementation, it can be based on Z s Cable head condition characteristics Z nThe similarity coefficient is calculated based on the matching scores. When the similarity coefficient is higher than 0.5 (50%), it is considered to be similar to Z. s If a match is successful, the operation step corresponding to the feature set of the production process will be used as the current operation step. If the similarity coefficient is less than 0.5 (50%), the on-site image information of the cable head production will be re-acquired for matching.

[0103] Next, the current process completion index of the cable head is calculated based on the cable head status information in the on-site image information of the cable head manufacturing process, and the index is compared with the preset set of marked process indices to judge the current process quality.

[0104] Please see Figure 2 This embodiment provides a machine vision-based cable head fabrication monitoring system to implement a machine vision-based cable head fabrication monitoring method. It includes an image information acquisition module, a current step matching module, a current process completion index calculation module, and a current process quality comparison module; wherein:

[0105] The image information acquisition module is used to acquire on-site image information of cable head fabrication based on machine vision.

[0106] The current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step and thus obtain the current fabrication progress of the cable head.

[0107] The current process completion index calculation module is used to calculate the current process completion index of the cable head based on the on-site image information of the cable head fabrication site.

[0108] The current process quality comparison module is used to compare the current process completion index of the cable head with a preset set of standard process indices to obtain the completion quality of the current process.

[0109] Furthermore, the current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step, thereby obtaining the current fabrication progress of the cable head, specifically as follows:

[0110] The manufacturing process feature set is used to establish the characteristics of different operation steps in the cable head manufacturing process, including typical behavioral characteristics, tool characteristics, and cable head status characteristics.

[0111] The on-site image information of cable head fabrication is matched with a preset fabrication process feature set to obtain the current operation step and thus the current fabrication progress of the cable head.

[0112] Furthermore, the current step matching module is used to match the on-site image information of cable head fabrication with a preset fabrication process feature set to obtain the current operation step, thereby obtaining the current fabrication progress of the cable head, specifically as follows:

[0113] The on-site image information for cable head fabrication includes work posture information, tool information, and cable head status information;

[0114] Match the work posture information with typical behavioral features to obtain behavioral feature matching results;

[0115] Match the tool information with the tool features to obtain the tool feature matching results;

[0116] Match the cable head status information with the cable head status features to obtain the cable head status feature matching results;

[0117] The current operation steps are obtained based on the matching results of behavioral features, tool features, and cable head status features, so as to obtain the current production progress of the cable head.

[0118] Furthermore, in the current step matching module, the step of obtaining the current operation step based on the behavioral feature matching result, the tool feature matching result, and the cable head status feature matching result to obtain the current cable head manufacturing progress is specifically as follows:

[0119] If both the behavioral feature matching result and the tool feature matching result exist, it means that the matching is successful, and the operation step corresponding to the production process feature set is taken as the current operation step.

[0120] If the behavioral feature matching result or the tool feature matching result does not exist, it means that the matching has failed. Then, it is determined whether the cable head status feature matching result meets the preset requirements. If so, the operation step corresponding to the production process feature set is taken as the current operation step; otherwise, the cable head production site image information is re-acquired for matching.

[0121] The current progress of cable head manufacturing is obtained based on the current operating steps.

[0122] Furthermore, the current process quality comparison module is used to compare the current process completion index of the cable head with a preset set of standard process indices to obtain the current process completion quality. Specifically, this is done as follows:

[0123] The preset standard process index set includes the labeled process index corresponding to each step of cable head fabrication.

[0124] The current process completion index of the cable head is compared with the marked process index corresponding to the current operation step to obtain the completion quality of the current process.

[0125] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A machine vision-based cable head manufacturing monitoring method, characterized by, The method comprises the following steps: obtaining cable head manufacturing site image information based on machine vision; matching the cable head manufacturing site image information with a preset manufacturing process feature set to obtain a current operation step and to obtain a current manufacturing progress of the cable head; the manufacturing process feature set is used to establish features of different operation steps in the cable head manufacturing process, including typical behavior features, tool features and cable head state features; the cable head manufacturing site image information includes work posture information, tool information and cable head state information; matching the work posture information with the typical behavior features to obtain a behavior feature matching result; matching the tool information with the tool features to obtain a tool feature matching result; matching the cable head state information with the cable head state features to obtain a cable head state feature matching result; obtaining the current operation step according to the behavior feature matching result, the tool feature matching result and the cable head state feature matching result to obtain the current manufacturing progress of the cable head; calculating a current process completion index of the cable head according to the cable head manufacturing site image information; comparing the current process completion index of the cable head with a preset standard process index set to obtain a completion quality of the current process.

2. The machine vision-based cable head manufacturing monitoring method of claim 1, wherein, The method for obtaining the current operation step according to the behavior feature matching result, the tool feature matching result and the cable head state feature matching result to obtain the current manufacturing progress of the cable head comprises the following steps: if both the behavior feature matching result and the tool feature matching result exist, it indicates that the matching is successful, and the operation step corresponding to the manufacturing process feature set is taken as the current operation step; if either the behavior feature matching result or the tool feature matching result does not exist, it indicates that the matching fails, and then it is determined whether the cable head state feature matching result meets a preset requirement, if yes, the operation step corresponding to the manufacturing process feature set is taken as the current operation step; otherwise, the cable head manufacturing site image information is re-obtained for matching; the current manufacturing progress of the cable head is obtained according to the current operation step.

3. A machine vision-based cable head manufacturing monitoring method according to any one of claims 1-2, characterized in that, The method for comparing the current process completion index of the cable head with the preset standard process index set to obtain the completion quality of the current process comprises the following steps: the preset standard process index set includes labeled process indexes corresponding to each step of the cable head manufacturing; the current process completion index of the cable head is compared with the labeled process index corresponding to the current operation step of the cable head to obtain the completion quality of the current process.

4. A machine vision based cable head manufacturing monitoring system, characterized by, The method comprises an image information obtaining module, a current step matching module, a current process completion index calculating module and a current process quality comparing module; wherein: the image information obtaining module is used to obtain the cable head manufacturing site image information based on machine vision; the current step matching module is used to match the cable head manufacturing site image information with a preset manufacturing process feature set to obtain a current operation step and to obtain a current manufacturing progress of the cable head; the manufacturing process feature set is used to establish features of different operation steps in the cable head manufacturing process, including typical behavior features, tool features and cable head state features; the cable head manufacturing site image information includes work posture information, tool information and cable head state information; The work posture information is matched in the typical behavior feature to obtain a behavior feature matching result; The tool information is matched in the tool feature to obtain a tool feature matching result; The cable head state information is matched in the cable head state feature to obtain a cable head state feature matching result; The current operation step is obtained according to the behavior feature matching result, the tool feature matching result and the cable head state feature matching result to obtain the current manufacturing progress of the cable head; The current process completion index calculation module is configured to calculate the current process completion index of the cable head according to the cable head manufacturing site image information; The current process quality comparison module is configured to compare the current process completion index of the cable head with a preset standard process index set to obtain the completion quality of the current process.

5. A machine vision-based cable head manufacturing monitoring system according to claim 4, wherein, In the current step matching module, the current operation step is obtained according to the behavior feature matching result, the tool feature matching result and the cable head state feature matching result to obtain the current manufacturing progress of the cable head, and specifically: If the behavior feature matching result and the tool feature matching result both exist, it means that the matching is successful, and the operation step corresponding to the manufacturing process feature set is taken as the current operation step; If the behavior feature matching result or the tool feature matching result does not exist, it means that the matching fails, and then it is determined whether the cable head state feature matching result meets the preset requirement, if yes, the operation step corresponding to the manufacturing process feature set is taken as the current operation step; Otherwise, the cable head manufacturing site image information is re-acquired for matching; The current manufacturing progress of the cable head is obtained according to the current operation step.

6. A machine vision based cable head manufacturing monitoring system according to any one of claims 4 to 5, characterized in that, The current process quality comparison module is configured to compare the current process completion index of the cable head with a preset standard process index set to obtain the completion quality of the current process. The preset standard process index set includes a labeled process index corresponding to each step of the cable head manufacturing; The current process completion index of the cable head is compared with the labeled process index corresponding to the current operation step to obtain the completion quality of the current process.

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