Management planning system for production and manufacturing site

Abstract

The invention discloses a management planning system for a production and manufacturing site, which comprises a planning information acquisition module, a work planning management module and an output module, and is characterized in that the planning information acquisition module is used for acquiring worker work division and real-time working conditions of the production and manufacturing site; the work planning management module is used for analyzing and evaluating the work spirit fullness condition of workers and planning and managing production equipment and scheduling work sub-items of the workers, the output module is used for outputting a management planning scheme to a production and manufacturing site and carrying out site scheduling, and the planning information acquisition module is in network connection with the work planning management module. The work planning management module is electrically connected with the output module, and the system has the advantages of being high in production efficiency and high in safety.

Description

Technical Field

[0001] The present invention relates to the technical field of management planning, and particularly to a management planning system for the production and manufacturing site. Background Art

[0002] In the production and manufacturing industry, efficient production processes and the collaborative work of workers are crucial to ensure the smooth operation of the production line, improve production efficiency, reduce costs, and maintain the safety of workers. Traditional production management methods usually rely on fixed production schedules and empiricism, lacking real-time and individualized monitoring of workers' work.

[0003] In the past, the management of the production and manufacturing site may have involved manual scheduling, equipment dispatching, and worker supervision, which were often time-consuming and subject to subjective judgment. In addition, the assessment of workers' work status and safety was usually based on experience and general standards, rather than on actual data and individualized needs. Traditional production management methods usually do not consider real-time data on workers' work status and equipment performance, resulting in inaccuracies in work allocation and equipment dispatching, which may lead to production line stoppages and inefficiencies; at the same time, production safety requires constant high alert. When workers' working conditions decline during long working hours, it is easy to lower the safety alert, thus leaving workers' safety unguaranteed. Therefore, it is necessary to design a management planning system for the production and manufacturing site with high production efficiency and strong safety. Summary of the Invention

[0004] The purpose of the present invention is to provide a management planning system for the production and manufacturing site to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solution: A management planning system for the production and manufacturing site, including a planning information acquisition module, a work planning management module, and an output module. The planning information acquisition module is used to obtain the work division and real-time work situation of workers at the production and manufacturing site. The work planning management module is used to analyze and evaluate the mental state of workers and plan and manage the dispatching of production equipment and workers' work items. The output module is used to output a management planning scheme to the production and manufacturing site for on-site dispatching. The planning information acquisition module is network-connected to the work planning management module, and the work planning management module is electrically connected to the output module.

[0006] According to the above technical solution, the planning information acquisition module includes a field data collection module and a work item coordination module. The field data collection module is used to monitor and collect the processing operation data of workers and equipment at the production and manufacturing site. The work item coordination module is used to coordinate the data of each work item at the production and manufacturing site and the operation items mastered by workers.

[0007] According to the above technical solution, the on-site data collection module further includes a camera module unit and a timing unit. The camera module unit is used to collect the working images of workers in each work item during production and manufacturing, and the timing unit is used to record the working time of workers in each work item. The work item co-ordination module includes a danger attribute label, a speed consistency label, and a work item mastery label. The danger attribute label is used to preset a danger level label for each work item, the speed consistency label is used to preset a level label for the consistency requirement of the working speed of each work item, and the work item mastery label is used to register the ability label of workers to master each work item.

[0008] According to the above technical solution, the work planning and management module includes a coordination analysis module, a process progress calculation module, and a comprehensive judgment module. The coordination analysis module is used to analyze the coordination of workers' work, the process progress calculation module is used to statistically calculate the working speed of workers, and the comprehensive judgment module is used to comprehensively analyze the working situation of workers and output a judgment result when the adjustment mechanism is reached. The coordination analysis module further includes a feature capture sub-module and a cycle statistics sub-module. The feature capture sub-module is used to capture the working action features of workers, and the cycle statistics sub-module is used to integrate and process the feature cycles.

[0009] According to the above technical solution, the operation method of the management planning system includes the following steps:

[0010] Step S1: Set up a camera module and a timing unit for the work deployment of each work item at the production and manufacturing site, which are respectively used to monitor and collect the working images of workers at their respective workstations and accumulate the continuous working duration, and transmit the monitored on-site data to the system in real time;

[0011] Step S2: Conduct a co-ordinated registration of the equipment and workers at the production site;

[0012] Step S3: The coordination analysis module is activated. After obtaining the working images at the workstations, it analyzes the continuous working coordination of workers and outputs the analysis results;

[0013] Step S4: Further statistically calculate the real-time working speed v of workers, and use the cumulative continuous working time of workers at the current workstation as the horizontal axis and the real-time working speed v corresponding to the working moment as the vertical axis to establish a process progress statistical chart, capture the vertices in the chart, obtain the vertex ordinate value marked as v0, and then compare the real-time obtained working speed v with v0 and output the ratio

[0014] Step S5: The system obtains the analysis results of the continuous working coordination of workers, the real-time ratio output by the process progress calculation, and the on-site planning information, comprehensively judges the working situation of workers, and outputs a judgment result when the adjustment mechanism is reached;

[0015] Step S6: When the system triggers the output of the judgment result, the output module is used to instruct the production and manufacturing site to make adjustments, adjust the workstations where the evaluation value standard of the work item corresponding to the worker's work status in the worker's work label is lower than the current standard value, and transfer the workers with a high evaluation value of the worker's work status.

[0016] According to the above technical solution, step S2 further includes the following steps:

[0017] Step S21: Sort all the work items at the production and manufacturing site, divide them into several groups of work items according to the difference in work content, then register and obtain the work content mastered by the workers, and set corresponding work item mastery labels for the registered workers;

[0018] Step S22: Further, the user uses the work item overall planning module and combines the specific production and manufacturing situation to set a danger attribute label and a speed consistency label for each work item respectively. Each work item corresponds to a danger attribute index u and a speed consistency index r.

[0019] According to the above technical solution, step S3 further includes the following steps:

[0020] Step S31: By identifying the transmission signal source of the recognition camera module unit, the feature capture sub-module controls the capture feature item to be the preset feature content for monitoring the corresponding work item by the camera module;

[0021] Step S32: Real-time identify and collect the worker's work picture, perform portrait contour matting on the worker's work picture, and simulate the portrait contour in real time;

[0022] Step S33: According to the preset feature content corresponding to the current work item, that is, the action feature nodes that must be carried out during the current worker's work process, perform feature node matching and comparison with the implemented simulated portrait contour;

[0023] Step S34: When the similarity of the picture frame actions in the simulated portrait contour of the preset feature content is higher than 80%, output the preset feature content and the corresponding time node. When the preset feature content consists of multiple groups of action feature nodes, match each group of action feature nodes of the preset feature content one by one and output the time nodes, then repeat step S34, calculate the difference between the current output time node and the previous same situation time node, and finally output the time period T required for the worker to complete a preset feature content and the average period t of all action feature nodes included in the preset feature content;

[0024] Step S35: Calculate the variance values T0 and t0 of the output period T and the average period t of all action feature nodes in real time, and finally calculate and output the worker work coordination index E through weighted calculation, where

[0025] According to the above technical solution, step S5 further includes the following steps:

[0026] Step S51: Analyze and calculate the evaluation value W of the worker's working state, where W = k·E·p, and k is a coefficient, which is a constant greater than 0;

[0027] Step S52: Obtain the camera module and timing unit of each work item at the production and manufacturing site, and obtain the continuous working time g of the worker on the corresponding work item through the value of the timing unit;

[0028] Step S53: According to each work item corresponding to a danger attribute index u, a speed consistency index r, and the continuous working time g of the worker on the corresponding work item, calculate the evaluation value standard value W1 of the worker's working state corresponding to each work item, where W1 = W0·u·r·g 2 , where W0 is the benchmark evaluation standard value at the production and manufacturing site;

[0029] Step S54: When W ≤ W1, the adjustment mechanism is reached and the judgment result is output.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention uses real-time data collection and analysis, combined with worker skills and equipment performance, to achieve more efficient, safer and more collaborative production and manufacturing site management. The system uses a camera module, a timing unit and intelligent algorithms to monitor the worker's working picture in real time, and evaluates the worker's working state according to data such as preset feature content and working speed. Furthermore, it not only considers the actual working conditions of the workers, but also combines the process progress calculation and the danger attribute level to optimize the worker work allocation and equipment scheduling. By comprehensively analyzing and comparing the evaluation value and the standard value of the worker's working state, the system can adjust the production site in real time to ensure the best balance between production efficiency and worker safety. Description of the Drawings

[0031] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0032] Figure 1 It is a schematic diagram of the system module composition of the present invention. Detailed Embodiments

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] Please refer to Figure 1 , the present invention provides a technical solution: a management planning system for the production and manufacturing site, including a planning information acquisition module, a work planning management module, and an output module. The planning information acquisition module is used to obtain the work division and real-time work conditions of workers at the production and manufacturing site. The work planning management module is used to analyze and evaluate the mental state of workers and plan and manage the scheduling of production equipment and the work items of workers. The output module is used to output a management planning scheme to the production and manufacturing site for on-site scheduling. The planning information acquisition module is network-connected to the work planning management module, and the work planning management module is electrically connected to the output module; by using real-time data collection and analysis, combined with the skills of workers and the performance of equipment, it is possible to achieve more efficient, safer, and more collaborative management of the production and manufacturing site. The system uses a camera module, a timing unit, and an intelligent algorithm to monitor the work pictures of workers in real time and evaluate the work status of workers based on data such as preset feature content and work speed. Furthermore, not only the actual work situation of workers is considered, but also the calculation of process progress and the level of danger attributes are combined to optimize the work allocation of workers and the scheduling of equipment. By comprehensively analyzing and comparing the evaluation values of the work status of workers with the standard values, the system can adjust the production site in real time to ensure the best balance between production efficiency and worker safety.

[0035] The planning information acquisition module includes a field data collection module and a work item overall planning module. The field data collection module is used to monitor and collect the processing operation data of workers and equipment at the production and manufacturing site. The work item overall planning module is used to overall plan the data of each work item at the production and manufacturing site and the operation items mastered by workers.

[0036] The field data collection module further includes a camera module unit and a timing unit. The camera module unit is used to collect the work pictures of workers on each work item during production. The timing unit is used to time the working hours of workers on each work item; the work item overall planning module includes a danger attribute label, a speed consistency label, and a work item mastery label. The danger attribute label is used to preset a danger level label for each work item. The speed consistency label is used to preset a level label for the consistency requirement of the work speed of each work item. The work item mastery label is used to register the ability label of workers to master each work item.

[0037] The work planning management module includes a coordination analysis module, a process progress calculation module, and a comprehensive judgment module. The coordination analysis module is used to analyze the coordination of workers' work. The process progress calculation module is used to statistically calculate the working speed of workers. The comprehensive judgment module is used to comprehensively analyze the working situation of workers and output a judgment result when the adjustment mechanism is reached. The coordination analysis module further includes a feature capture sub-module and a cycle statistics sub-module. The feature capture sub-module is used to capture the working action features of workers, and the cycle statistics sub-module is used to integrate and process the feature cycles.

[0038] The operation method of the management planning system includes the following steps:

[0039] Step S1: Set up a camera module and a timing unit for the work deployment of each work item at the production and manufacturing site, which are used to monitor and collect the working images of workers at their respective workstations and accumulate the continuous working duration, and transmit the monitored on-site data to the system in real time;

[0040] Step S2: Conduct overall registration of the equipment and workers at the production and manufacturing site;

[0041] Step S3: The coordination analysis module is activated. After obtaining the working images at the workstations, it analyzes the coordination of workers' continuous work and outputs the analysis results;

[0042] Step S4: Further statistically calculate the real-time working speed v of the workers. Taking the cumulative continuous working time of the workers at the current workstation as the horizontal axis and the real-time working speed v corresponding to the working moment as the vertical axis, establish a process progress statistical chart, capture the vertices in the chart, obtain the vertex ordinate value marked as v0, and then compare the real-time obtained working speed v with v0 and output the ratio

[0043] Step S5: The system obtains the analysis results of the coordination of workers' continuous work, the real-time ratio output by the process progress calculation, and the on-site planning information, comprehensively judges the working situation of the workers, and outputs a judgment result when the adjustment mechanism is reached;

[0044] Step S6: When the system triggers the output of the judgment result, it instructs the production and manufacturing site to make adjustments through the output module, adjusts the workstations where the evaluation value standard of the workers' work status corresponding to the work items within their work labels is lower than the current standard value, and transfers the workers with a high evaluation value of the work status, and plans the operating speed requirements of the production equipment to match the workers' work status, which can not only ensure production efficiency but also effectively ensure the safety of workers.

[0045] Step S2 further includes the following steps:

[0046] Step S21: Sort all the work items at the production and manufacturing site, divide them into several groups of work items according to the work content, then register the work content mastered by the workers, and set corresponding work item mastery tags for the registered workers.

[0047] Step S22: Further, the user sets a danger attribute tag and a speed consistency tag for each work item through the work item overall planning module in combination with the specific production and manufacturing situation. Each work item corresponds to a danger attribute index u and a speed consistency index r. Among them, the speed consistency index is related to the mutual influence of work items. When the working speed of this work item has a greater passive influence on the speed of other work items, the speed consistency index is greater, and vice versa.

[0048] Step S3 further includes the following steps:

[0049] Step S31: By identifying the transmission signal source of the recognition camera module unit, the feature capture sub-module controls the captured feature item to be the preset feature content monitored by the camera module for the corresponding work item.

[0050] Step S32: Real-time identify and collect the worker's work picture, perform portrait contour matting on the worker's work picture, and simulate the portrait contour in real time.

[0051] Step S33: According to the preset feature content corresponding to the current work item, that is, the necessary action feature nodes in the current worker's work process, perform feature node matching and comparison with the implemented simulated portrait contour.

[0052] Step S34: When the similarity of the frame actions in the simulated portrait contour of the preset feature content is higher than 80%, output the preset feature content and the corresponding time node. When the preset feature content consists of multiple groups of action feature nodes, match each group of action feature nodes of the preset feature content one by one and output the time nodes, then repeat step S34, calculate the difference between the current output time node and the previous same situation time node, and finally output the time period T required for the worker to complete a preset feature content and the average period t of all action feature nodes included in the preset feature content.

[0053] Step S35: Real-time calculate the variance values T0 and t0 of the output period T and the average period t of all action feature nodes, and finally calculate and output the worker's work coordination index E by weighted calculation, where In the formula, α and β are the control parameters of T0 and t0 respectively, both are constants greater than 0. It can be seen from the formula that both T0 and t0 are inversely proportional to the coordination index E, that is, the greater the volatility of the repetition time period between the same action features during the worker's work process, the lower the worker's work coordination, and the less concentrated the working state.

[0054] Step S5 further includes the following steps:

[0055] Step S51: Analyze and calculate the evaluation value W of the worker's working state, where W = k·E·p, and in the formula, k is a coefficient, which is a constant greater than 0;

[0056] Step S52: Obtain the camera module and timing unit of each work item at the production and manufacturing site, and obtain the continuous working time g of the worker on the corresponding work item through the value of the timing unit;

[0057] Step S53: According to each work item corresponding to a danger attribute index u, a speed consistency index r, and the continuous working time g of the worker on the corresponding work item, calculate the standard value W1 of the evaluation value of the worker's working state corresponding to each work item, where W1 = W0·u·r·g 2 , and in the formula, W0 is the benchmark evaluation standard value at the production and manufacturing site;

[0058] Step S54: When W ≤ W1, the adjustment mechanism is reached and the judgment result is output.

[0059] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0060] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A management planning system for a production and manufacturing site, comprising a planning information acquisition module, a work planning management module and an output module, characterized in that: The planning information acquisition module is used to obtain the work division and real-time work status of workers at the production and manufacturing site, the work planning management module is used to analyze and evaluate the workers' work spirit and plan and manage the production equipment and the scheduling of workers' work items, the output module is used to output the management planning scheme to the production and manufacturing site for on-site scheduling, the planning information acquisition module is connected to the work planning management module through a network, and the work planning management module is electrically connected to the output module; The planning information acquisition module includes a field data acquisition module and a work item coordination module. The field data acquisition module is used to monitor and collect the processing and operation data of workers and equipment at the production and manufacturing site, and the work item coordination module is used to coordinate the data of various work items at the production and manufacturing site and the operation items mastered by the workers; The on-site data acquisition module further includes a camera module unit and a timing unit, wherein the camera module unit is used to capture the working screen of workers on each work item of production and manufacturing, and the timing unit is used to time the working time of each work item of the workers; the work item coordination module includes a danger attribute label, a speed consistency label and a work item mastery label, wherein the danger attribute label is used to preset a danger level label for each work item, the speed consistency label is used to preset a level label for the consistency requirement of the work speed of each work item, and the work item mastery label is used to register the worker's mastery of each work item ability label; The work planning management module includes a coordination analysis module, a process progress calculation module and a comprehensive judgment module. The coordination analysis module is used to analyze the coordination of workers' work, the process progress calculation module is used to statistically calculate the speed of workers' work, and the comprehensive judgment module is used to comprehensively analyze the workers' work situation and make a judgment result output when the adjustment mechanism is reached; the coordination analysis module further includes a feature capture submodule and a cycle statistics submodule. The feature capture submodule is used to capture the characteristics of workers' work actions, and the cycle statistics submodule is used to integrate and process feature cycles; The operation method of the management planning system comprises the following steps: Step S1: A camera module and a timing unit are set up in the work deployment of each work item at the production site to monitor and collect the working pictures of workers at their respective workstations and the accumulated continuous working time, and the monitored on-site data are transmitted to the system in real time; Step S2: Comprehensively register the equipment and workers at the production site; Step S3: The coordination analysis module is started, and after obtaining the working picture at the workstation, the coordination of the worker's continuous work is analyzed and the analysis results are output; Step S4: further calculate the real-time working speed v of the worker, and use the worker's cumulative continuous working time at the current workstation as the horizontal axis and the real-time working speed v corresponding to the working moment as the vertical axis to establish a process progress statistics chart, grab the vertex in the chart, obtain the vertex vertical coordinate value and mark it as v0, then compare the real-time working speed v with v0, and output the ratio Step S5: The system obtains the analysis results of the workers' continuous work coordination, the real-time ratio of the process progress calculation output, and the site planning information, comprehensively judges the workers' working conditions, and outputs the judgment results when the adjustment mechanism is reached; Step S6: When the system triggers the output of the judgment result, the output module instructs the manufacturing site to make adjustments, adjust the workstations of workers whose work status evaluation value corresponding to the work item in their work label is lower than the current standard value, and replace the workers whose work status evaluation value is high; The step S3 further comprises the following steps: Step S31: by identifying the transmission signal source of the camera module unit, the feature capture submodule controls the capture feature item to be the preset feature content of the corresponding work item monitored by the camera module; Step S32: Real-time recognition and collection of the worker's working picture, cutting out the portrait outline of the worker's working picture, and simulating the portrait outline in real time; Step S33: matching and comparing feature nodes with the simulated portrait outline according to preset feature content of the current corresponding work item, that is, feature nodes of the action performed by the current worker during the work process; Step S34: When the similarity of the frame action of the preset feature content simulating the portrait outline is higher than 80%, the preset feature content and the corresponding time node are output. When the preset feature content is composed of multiple groups of action feature nodes, the multiple groups of action feature nodes of the preset feature content are matched one by one and the time nodes are output, and then step S34 is repeated to calculate the difference between the current output time node and the previous time node of the same situation, and finally the time period T required for the worker to complete the preset feature content once and the average period t of all action feature nodes contained in the preset feature content are output; Step S35: Calculate the variance values ​​T0 and t0 of the output period T and the average period t of all action feature nodes in real time, and finally perform weighted calculation to output the worker's work coordination index E, where

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