Visual production line real-time monitoring management method and system

Abstract

The invention discloses a visual production line real-time monitoring management method and system, and relates to the field of production management, and the method comprises the steps: receiving and displaying a production plan through a plan board, and analyzing the production plan into a specific production task; selecting an information display board corresponding to the specific production task, extracting task characteristics of the specific production task, counting the specific production task to obtain a production task progress, selecting a key index and a data updating frequency corresponding to the specific production task based on the task characteristics, and updating the production task progress according to the key index and the data updating frequency. Acquiring a hardware configuration component related to the specific production task, and acquiring a real-time operation parameter of the hardware configuration component; and displaying the task characteristics, the production task progress, the key indexes and the real-time operation parameters on the information display board according to the data updating frequency. By implementing the method, the key points of various production information can be highlighted based on different types of production tasks, so that the data is more visual.

Description

Technical Field

[0001] The present application relates to the field of production management, and in particular to a visual production line real-time monitoring management method and system. Background Art

[0002] With the continuous development of manufacturing industry, real-time monitoring and management of production lines are becoming more and more important.

[0003] In related technologies, production management systems can be used to manage the production process. These systems usually collect data from production equipment to generate various production reports and statistical charts. Managers can understand the overall operation status of the production line by regularly viewing these reports and charts.

[0004] However, in this way, different types of production tasks often have different characteristics and focus. The use of a unified analysis method increases the difficulty of information screening and cannot more intuitively show managers the focus of different types of production tasks, resulting in a lack of emphasis on various production information. Summary of the invention

[0005] The present application provides a visual production line real-time monitoring management method and system, which is used to highlight the key points of various production information based on different types of production tasks, making the data more intuitive.

[0006] In the first aspect, the present application provides a visual production line real-time monitoring and management method, which is applied to a real-time monitoring and management system, and the method includes: receiving and displaying a production plan through a plan dashboard, and parsing the production plan into specific production tasks; selecting an information display dashboard corresponding to the specific production task, and the information display dashboard types include task dashboards, material dashboards, production line tracking dashboards, exception tracking dashboards and comprehensive dashboards; extracting the task characteristics of the specific production task, and performing statistics on the specific production task to obtain the production task progress, and the task characteristics include task duration, product type and process complexity; based on the task characteristics, selecting key indicators and data update frequency corresponding to the specific production task, and the key indicators include production efficiency, quality qualification rate, energy consumption and production cycle; obtaining hardware configuration components related to the specific production task, and obtaining real-time operating parameters of the hardware configuration components; displaying the task characteristics, the production task progress, the key indicators and real-time operating parameters on the information display dashboard according to the data update frequency.

[0007] By adopting the above technical solution, the real-time monitoring and management system first receives the production plan through the plan board and parses it into specific production tasks, so that the production plan can be implemented to an operational level. Then, the information display board corresponding to the specific production task is selected to ensure that the relevant production information can be presented in the most appropriate way. Next, the task characteristics are extracted and the progress of the production task is counted. Based on the task characteristics, key indicators and data update frequency are selected so that managers can focus on the most important indicators. Finally, the real-time operating parameters of the hardware configuration components are obtained, and the task characteristics, production task progress, key indicators and real-time operating parameters are displayed on the information display board according to the data update frequency, realizing comprehensive, real-time and personalized monitoring and management of the production line, making the production information more intuitive and focused, which helps managers to understand the status of the production line in a timely manner and make accurate decisions.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the step of selecting the key indicators and data update frequency corresponding to the specific production task based on the task characteristics specifically includes: classifying the specific production task into a short-term task, a medium-term task or a long-term task according to the duration of the task, the key indicators corresponding to the short-term task include production efficiency and quality pass rate, the key indicators corresponding to the medium-term task include production efficiency, quality pass rate and energy consumption, and the key indicators corresponding to the long-term task include production efficiency, quality pass rate, energy consumption and production cycle; selecting the data update frequency corresponding to the task type of the specific production task in the preset frequency database.

[0009] By adopting the above technical solution, specific production tasks are classified into short-term, medium-term or long-term tasks according to the duration of the tasks, and the corresponding key indicators are matched for different types of tasks. Short-term tasks focus on production efficiency and quality pass rate, medium-term tasks increase the focus on energy consumption, and long-term tasks comprehensively consider production efficiency, quality pass rate, energy consumption and production cycle, making the monitoring indicators more targeted. At the same time, the data update frequency corresponding to the task type is selected in the preset frequency database to ensure the balance between data real-time and system performance.

[0010] In combination with some embodiments of the first aspect, in some embodiments, the step of displaying the task characteristics, the production task progress, the key indicators and the real-time operating parameters on the information display board according to the data update frequency specifically includes: obtaining a preset user-defined layout, and arranging the information display board based on the preset user-defined layout; integrating and displaying the task characteristics, the production task progress, the key indicators and the real-time operating parameters on the information display board; refreshing the data on the information display board in real time based on the data update frequency; when any one of the production task progress, the key indicators and the real-time operating parameters exceeds a preset threshold, triggering a visual warning on the information display board.

[0011] By adopting the above technical solution, a preset user-defined layout is obtained, and the information display board is arranged based on it, so that the board display is more in line with user needs. Task characteristics, production task progress, key indicators and real-time operating parameters are integrated and displayed on the information display board, which is convenient for managers to fully understand the production situation. The data on the board is refreshed in real time based on the data update frequency to ensure the timeliness of information. When any parameter of the production task progress, key indicators and real-time operating parameters exceeds the preset threshold, a visual warning is triggered in the information display board, which can promptly remind managers to pay attention to abnormal situations.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method further includes: when the specific production task is a material management task, determining the specific production task classification according to the task duration of the material management task; when the specific production task is a material management task and is a short-term task, selecting the task board, the material board and the exception tracking board for information display; displaying the task characteristics of the material management task, the material production task progress and the real-time operating parameters on the task board in real time, the task characteristics including the material task duration time, material product type and material process complexity; the material board centrally displays the material list, material inventory information and material key indicators. The material list includes the material name, specification and planned usage. The material inventory information includes the current inventory, safety inventory level and inventory status. The material key indicators include material turnover rate, inventory accuracy and material utilization rate; the material quality abnormality information, inventory abnormality alarm and material equipment abnormality information are displayed on the abnormal tracking board. The material quality abnormality information includes unqualified rate, batch quality problems and quality trend analysis. The material equipment abnormality information includes storage equipment failure information and transportation equipment abnormality information.

[0013] By adopting the above technical solution, when the specific production task is a material management task, the specific production task classification is determined according to the task duration. For short-term material management tasks, the task board, material board and exception tracking board are selected for information display. The relevant characteristics, progress and real-time operating parameters of the material management task are displayed in real time on the task board, so that managers can intuitively understand the task execution status. The material board centrally displays the bill of materials, inventory information and key indicators, which helps to accurately grasp the material status. The exception tracking board displays material quality abnormality information, inventory abnormality alarms and material equipment abnormality information, which can timely discover and handle problems. Through the synergy of these boards, comprehensive and real-time monitoring of material management tasks is achieved, and the efficiency and accuracy of material management are improved.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method also includes: obtaining the actual completion time of the specific production task, and calculating the production line efficiency indicator based on the task duration and the actual completion time; comparing the production line efficiency indicator with the preset target efficiency to obtain an efficiency difference value; when the efficiency difference value exceeds a preset threshold, automatically generating efficiency optimization suggestions based on the task characteristics and the real-time operating parameters; and displaying the efficiency optimization suggestions on the exception tracking board.

[0015] By adopting the above technical solution, the actual completion time of specific production tasks is obtained, and the production line efficiency index is calculated in combination with the task duration. The comprehensive production line efficiency index is compared with the preset target efficiency to obtain the efficiency difference value. When the efficiency difference value exceeds the preset threshold, efficiency optimization suggestions are automatically generated based on task characteristics and real-time operating parameters. These suggestions are displayed on the abnormal tracking dashboard, so that managers can understand the efficiency of the production line in a timely manner and take measures to optimize according to the suggestions. Through accurate monitoring and analysis of production line efficiency and timely provision of optimization suggestions, it helps to improve the overall efficiency of the production line, reduce production costs, and enhance the competitiveness of the enterprise.

[0016] In combination with some embodiments of the first aspect, in some embodiments, after the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method also includes: setting a multi-level abnormal warning threshold based on the key indicators and the real-time operating parameters displayed on the information display board; monitoring the changes of the key indicators and the real-time operating parameters in real time, and triggering an abnormal alarm of a preset level on the abnormal tracking board when it is detected that the warning parameter threshold is exceeded, and the preset level corresponds to the multi-level abnormal warning threshold.

[0017] By adopting the above technical solution, multi-level abnormal warning thresholds are set based on the key indicators and real-time operating parameters displayed on the information display board. Changes in key indicators and real-time operating parameters are monitored in real time. When the warning parameter threshold is exceeded, a preset level of abnormal alarm is triggered on the abnormal tracking board. This hierarchical alarm mechanism enables managers to quickly identify the severity of the abnormality and take corresponding measures. By timely discovering and handling abnormal situations, the stable operation of the production line is guaranteed, the impact of abnormal situations on production is reduced, and the reliability of production and the stability of product quality are improved.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the step of displaying the production task progress, the key indicators and real-time operating parameters on the information display board, the method also includes: when an access operation of a hardware component is detected, identifying the type, function and communication protocol of the hardware component; assigning a unique identifier to the hardware component based on the type, the function and the communication protocol; marking the component position of the hardware component in the production line layout based on the unique identifier, and displaying the status of the hardware component at the component position on the comprehensive board.

[0019] By adopting the above technical solution, when the access operation of the hardware component is detected, the system can automatically identify the type, function and communication protocol of the hardware component, and assign a unique identifier to the hardware component based on the identified information, ensuring that each hardware component has a unique identification in the system, which facilitates the system to accurately manage and track it. Then, the unique identifier is used to mark the component position of the hardware component in the production line layout, and the component position and the status of the hardware component are displayed on the comprehensive dashboard. The management personnel can intuitively understand the specific location and operating status of each hardware component on the comprehensive dashboard, and realize the precise positioning and real-time monitoring of the hardware components.

[0020] In the second aspect, an embodiment of the present application provides a real-time monitoring and management system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the real-time monitoring and management system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a real-time monitoring and management system, enables the real-time monitoring and management system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions. When the instructions are executed on a real-time monitoring management system, the real-time monitoring management system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0023] It is understandable that the real-time monitoring management system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. This application first receives the production plan through the plan board through the real-time monitoring and management system and parses it into specific production tasks, so that the production plan can be implemented to an operational level. Then, select the information display board corresponding to the specific production task to ensure that the relevant production information can be presented in the most appropriate way. Next, extract the task characteristics and count the progress of the production task, select key indicators and data update frequency based on the task characteristics, so that managers can focus on the most important indicators. Finally, obtain the real-time operating parameters of the hardware configuration components, and display the task characteristics, production task progress, key indicators and real-time operating parameters on the information display board according to the data update frequency, so as to realize the comprehensive, real-time and personalized monitoring and management of the production line, making the production information more intuitive and focused, which helps managers to understand the status of the production line in a timely manner and make accurate decisions.

[0025] 2. This application obtains a preset user-defined layout and arranges the information display board based on it to make the board display more in line with user needs. Task characteristics, production task progress, key indicators and real-time operating parameters are integrated and displayed on the information display board to facilitate managers to fully understand the production situation. The data on the board is refreshed in real time based on the data update frequency to ensure the timeliness of the information. When any of the production task progress, key indicators and real-time operating parameters exceeds the preset threshold, a visual warning is triggered in the information display board, which can promptly remind managers to pay attention to abnormal situations.

[0026] 3. This application determines the classification of specific production tasks according to the duration of the task when the specific production task is a material management task. For short-term material management tasks, select task boards, material boards, and exception tracking boards for information display. The relevant characteristics, progress, and real-time operating parameters of the material management tasks are displayed in real time on the task board, so that managers can intuitively understand the execution of the tasks. The material board centrally displays the bill of materials, inventory information, and key indicators, which helps to accurately grasp the status of materials. The exception tracking board displays material quality abnormality information, inventory abnormality alarms, and material equipment abnormality information, and can promptly discover and handle problems. Through the synergistic effect of these boards, comprehensive and real-time monitoring of material management tasks is achieved, and the efficiency and accuracy of material management are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a visual production line real-time monitoring management method in an embodiment of the present application; Figure 2 This is another flow chart of the visual production line real-time monitoring management method in the embodiment of the present application; Figure 3 It is an architectural diagram of the real-time monitoring and management method of a visual production line in an embodiment of the present application.

[0028] Figure 4 It is a schematic diagram of the structure of a physical device of the real-time monitoring and management system in the embodiment of the present application. DETAILED DESCRIPTION

[0029] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0030] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0031] For ease of understanding, the following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of a visual production line real-time monitoring and management method in an embodiment of the present application.

[0032] S101. Receive and display a production plan through a plan dashboard, and parse the production plan into specific production tasks.

[0033] Specifically, this step is performed when the production management system receives a new production plan. The system first receives and visualizes the production plan through the plan dashboard, allowing managers to intuitively view the overall production schedule. Then, the system will disassemble and analyze this overall production plan and convert it into a series of specific and actionable production tasks.

[0034] In some embodiments, the reception, display and analysis of the production plan can be achieved in a variety of ways: Optionally, the system can automatically obtain production plan data from the ERP system through the API interface, and then display the overall production schedule in the form of a Gantt chart on the plan board, and then use the preset task decomposition rules to split each production project in the plan into specific process tasks; Optionally, the system can also provide a human-computer interaction interface, allowing production managers to manually input production plan information, and the system will then present the input plan in a tabular form on the board, and then understand the plan content through natural language processing technology, and automatically generate a corresponding specific task list based on the product production process template. It is understandable that other methods can also be used to achieve the reception, display and analysis of the production plan, which are not limited here.

[0035] S102, selecting an information display board corresponding to the specific production task, where the information display board types include task board, material board, production line tracking board, exception tracking board and comprehensive board.

[0036] Among them, the information display board refers to the interface used to visually display production-related information. The task board is used to display detailed information of specific production tasks. The material board is used to display relevant information of materials required for production. The production line tracking board is used to monitor the operation status of the production line in real time. The abnormal tracking board is used to display abnormal conditions in the production process. The comprehensive board is used to integrate and display various aspects of production information.

[0037] Specifically, this step is performed after the specific production task is determined. The system will select the most suitable type of kanban board to display the relevant information of each specific production task according to its characteristics and information requirements. This selection process takes into account factors such as the nature, complexity, and required resources of the task to ensure that the relevant production information can be presented to the user in the most appropriate and intuitive way.

[0038] In some embodiments, the selection of information display boards corresponding to specific production tasks can be achieved in a variety of ways: Optionally, the system can automatically select the most appropriate board type based on the preset task-board mapping rules, according to the type, priority and production links involved in the task, for example, for material-related tasks, material boards are preferred, and for quality control tasks, abnormality tracking boards are selected; Optionally, the system can also use machine learning methods to analyze historical task data and board usage, recommend the most suitable board type for each new production task, and allow users to confirm or adjust, and the system will then continuously optimize the recommendation algorithm based on the user's choice. It is understandable that other methods can also be used to implement the selection process of information display boards, which are not limited here.

[0039] S103, extracting the task features of the specific production task, and performing statistics on the specific production task to obtain the production task progress, wherein the task features include task duration, product type, and process complexity.

[0040] Among them, task characteristics refer to the key attributes that can describe and distinguish different production tasks. Task duration refers to the estimated length of time required to complete the task. Product type is used to indicate the type of product involved in the task. Process complexity refers to the complexity of the production process involved in the task. Production task progress is used to indicate the degree or status of completion of the current task.

[0041] Specifically, this step is performed after the information display board is selected. The system first extracts key task features from the detailed information of the specific production task, which can fully reflect the nature and requirements of the task. Then, the system tracks the execution of the task in real time and calculates the current task progress by comparing the planned progress with the actual completion status.

[0042] In some embodiments, task feature extraction and progress statistics can be implemented in a variety of ways: Optionally, the system can use a predefined feature extraction template to automatically identify and extract relevant features according to the task type, such as extracting the estimated start and end time from the production plan to calculate the task duration, obtaining the product type from the product information database, and evaluating the process complexity by analyzing the process flow chart; then, the system can obtain the task execution data on the production line through real-time data acquisition equipment, and regularly update the task progress in combination with the preset progress calculation formula; finally, the system stores the extracted features and the calculated progress in the task database. Optionally, the system can also use machine learning methods to train feature extraction models by analyzing historical task data, and automatically extract key features from task descriptions and related documents; at the same time, use predictive analysis technology to predict the future progress of the task based on the current progress and historical data, and dynamically adjust the progress calculation method; finally, the system visualizes the extracted features and predicted progress, and allows manual intervention and adjustment. It can be understood that other methods can also be used to implement task feature extraction and progress statistics, which are not limited here.

[0043] S104. Based on the task characteristics, key indicators and data update frequency corresponding to the specific production task are selected. The key indicators include production efficiency, quality qualification rate, energy consumption and production cycle.

[0044] Among them, key indicators refer to important parameters used to evaluate and monitor the execution of production tasks. Production efficiency refers to the output per unit time. Quality pass rate is used to measure the proportion of products that meet quality standards. Energy consumption refers to the total amount of energy used in the production process. Production cycle refers to the total time required from the start to the completion of a production task. Data update frequency refers to the time interval between system refresh and update of related data.

[0045] Specifically, this step is performed after extracting task features and calculating task progress. The system will select the most relevant and important key indicators for each specific production task based on the previously extracted task features. This selection process takes into account factors such as the nature, importance and complexity of the task. At the same time, the system will also determine the appropriate data update frequency based on the characteristics of the task to ensure a balance between data real-time and system performance.

[0046] In some embodiments, the selection of key indicators and data update frequency can be achieved in a variety of ways: Optionally, the system can use a preset rule engine to automatically match the corresponding key indicator set according to the task characteristics, such as giving priority to production efficiency and quality qualification rate for short-term tasks, and including all four indicators for long-term tasks; then, the system selects a suitable update frequency from a predefined frequency list according to the time span and urgency of the task; finally, the system applies the selected indicators and frequencies to the corresponding data acquisition and processing modules. Optionally, the system can also use an intelligent recommendation algorithm to recommend the most relevant indicator combination for each new task by analyzing historical task data and indicator usage; at the same time, use an adaptive algorithm to dynamically adjust the data update frequency, increase the frequency in the critical stage of the task, and reduce the frequency in the stable stage to optimize system resources; finally, the system presents the recommendation results to the management personnel, allowing them to make fine adjustments and confirmations. It can be understood that other methods can also be used to achieve the selection of key indicators and data update frequency, which is not limited here.

[0047] S105: Acquire a hardware configuration component related to the specific production task, and acquire real-time operating parameters of the hardware configuration component.

[0048] Among them, hardware configuration components refer to various machines, equipment and tools used to perform specific production tasks. Real-time operation parameters represent various indicators and status data of hardware configuration components during operation. Related hardware configuration components refer to equipment that is directly related to or involved in the execution of a specific production task.

[0049] Specifically, this step is performed after the key indicators and data update frequency are selected. The system first needs to identify all hardware devices related to the current production task, including machines, tools, sensors, etc. on the production line. Then, the system will establish a connection with these hardware devices and start collecting their operating data in real time. The data includes various parameters such as the operating status, temperature, pressure, speed, etc. of the equipment. This process involves not only the collection of data, but also the preliminary processing and verification of the data to ensure that the information obtained is accurate and reliable.

[0050] In some embodiments, the identification of hardware configuration components and the acquisition of real-time operating parameters can be achieved in a variety of ways: Optionally, the system can use a preset task-device mapping table to automatically identify relevant hardware components according to the task type; then, through the Industrial Internet of Things (IIoT) technology, each hardware component is connected to the central monitoring system; finally, the real-time data acquisition (SCADA) system is used to continuously collect the operating parameters of each component at a predefined sampling rate. Optionally, the system can also use dynamic device discovery technology to automatically identify currently active production equipment through network scanning; then, use a smart sensor network to collect various operating data of the equipment in real time; finally, use edge computing technology to perform preliminary processing and screening at the source of the data, and only transmit key information to the central system. It is understandable that other methods can also be used to achieve the identification of hardware configuration components and the acquisition of real-time operating parameters, which are not limited here.

[0051] S106, displaying the task characteristics, the production task progress, the key indicators and the real-time operation parameters on the information display board according to the data update frequency.

[0052] Among them, the information display dashboard refers to the interface used to visually display various production-related information. The data update frequency refers to the time interval between system refreshes and updates of the data displayed on the dashboard. Task characteristics contain information describing the key attributes of the production task. The production task progress indicates the degree of completion of the current task. Key indicators refer to important parameters used to evaluate the execution of tasks. Real-time operation parameters refer to the current operating status data of the hardware equipment.

[0053] Specifically, this step is performed after obtaining the hardware operating parameters. The system will integrate the various types of information collected and processed in the previous steps, and present them visually on the information display board according to the pre-set layout and format. This process involves not only the organization and layout of the data, but also the regular refreshing of the display content according to the frequency of data updates. The system will select the appropriate display method according to different types of data, such as using charts, dashboards or text, to ensure that the information can be conveyed to the user intuitively and clearly. At the same time, the system also logically groups and lays out the relevant information based on the correlation between the data, so that users can quickly obtain the required information.

[0054] In some embodiments, the integrated display and dynamic update of information can be achieved in a variety of ways: Optionally, the system can use a modular interface design to create independent display modules for each type of information (such as task characteristics, progress, key indicators, and operating parameters); then, according to the preset layout template, these modules are organized to the appropriate position on the board; finally, a timer is set to trigger data refresh events according to the specified update frequency to update the display content of each module. Optionally, the system can also use a responsive design method to create a dynamically adjusted interface framework; then, use data binding technology to associate the background data source with the front-end display elements; finally, implement a real-time push mechanism to automatically update the corresponding display elements when the data source changes to ensure the real-time nature of the information. It is understandable that other methods can also be used to achieve the integrated display and dynamic update of information, which are not limited here.

[0055] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the visual production line real-time monitoring and management method in an embodiment of the present application.

[0056] S201. Receive and display a production plan through a plan dashboard, and parse the production plan into specific production tasks.

[0057] It can be understood that this step is similar to step S101 and will not be described in detail here.

[0058] S202, select the information display board corresponding to the specific production task, the information display board type includes task board, material board, production line tracking board, abnormal tracking board and comprehensive board. It can be understood that this step is similar to step S102 and will not be described in detail here.

[0059] S203, extracting the task features of the specific production task, and performing statistics on the specific production task to obtain the production task progress, wherein the task features include task duration, product type, and process complexity.

[0060] It can be understood that this step is similar to step S103 and will not be described in detail here.

[0061] S204. Select key indicators and data update frequency corresponding to the specific production task based on the task characteristics. The key indicators include production efficiency, quality qualification rate, energy consumption and production cycle.

[0062] This step specifically includes the following steps: The specific production task is classified into a short-term task, a medium-term task or a long-term task according to the duration of the task. The key indicators corresponding to the short-term task include production efficiency and quality pass rate, the key indicators corresponding to the medium-term task include production efficiency, quality pass rate and energy consumption, and the key indicators corresponding to the long-term task include production efficiency, quality pass rate, energy consumption and production cycle.

[0063] For specific production tasks, we first need to classify them according to their duration. The task duration here refers to the estimated length of time required to complete the task. Tasks can be divided into short-term tasks, medium-term tasks, and long-term tasks. They can be distinguished based on pre-set time thresholds. For example, tasks with a duration of less than 1 day are short-term tasks, tasks between 1 week and 1 month are medium-term tasks, and tasks longer than 1 month are long-term tasks. Next, different key monitoring indicators are selected according to different task classifications. For short-term tasks, due to the short time span, short-term key indicators such as production efficiency and quality pass rate are highlighted; in addition to production efficiency and quality indicators, medium-term tasks also need to display energy consumption; long-term tasks need to monitor comprehensive indicators from execution efficiency, quality to energy use to the entire production cycle.

[0064] A data update frequency corresponding to the task type of the specific production task is selected in the preset frequency database.

[0065] This step is to select the matching data update frequency from the pre-established frequency database according to the type of task after the specific production tasks have been classified. The frequency database presets the update frequencies corresponding to different types of tasks. The update frequency refers to the time interval for the system to refresh the monitoring data on the display board. Different update frequencies can be preset according to the type of task and the time span. For example, for short-term tasks, more frequent updates can be set, refreshing every 5 minutes; medium-term tasks can be set to update every 15 minutes or 30 minutes according to the production stage; long-term tasks can use a lower update frequency, refreshing every hour or several hours.

[0066] S205: Acquire a hardware configuration component related to the specific production task, and acquire real-time operating parameters of the hardware configuration component.

[0067] It can be understood that this step is similar to step S105 and will not be described in detail here.

[0068] S206: Display the task characteristics, the production task progress, the key indicators and the real-time operation parameters on the information display board according to the data update frequency.

[0069] In this step, the step may specifically include the following contents: Obtaining a preset user-defined layout, and arranging the information display board based on the preset user-defined layout; The task characteristics, the production task progress, the key indicators and the real-time operation parameters are integrated and displayed on the information display board; Refresh the data on the information display board in real time based on the data update frequency; When any one of the production task progress, the key indicator and the real-time operating parameter exceeds a preset threshold, a visual warning is triggered in the information display board.

[0070] S207: When the specific production task is a material management task, determine the specific production task classification according to the task duration of the material management task.

[0071] When a specific production task belongs to the material management category, it is necessary to determine the detailed task classification based on the task duration of the material management task. The material management task here refers to the management tasks related to production materials such as raw materials and parts. The task duration is the estimated length of time required to complete the material management task. Material management tasks can be divided into short-term tasks, medium-term tasks and long-term tasks according to different time thresholds. For example, tasks with a duration of 1 day are short-term tasks, tasks with a duration of 1 week to 1 month are medium-term tasks, and tasks with a duration of more than 1 month are long-term tasks. Further classification can help to more accurately monitor the key indicators corresponding to material management tasks of different durations in the future.

[0072] S208. When the specific production task is a material management task and is a short-term task, select a task kanban, a material kanban and an exception tracking kanban for information display.

[0073] After determining that a specific production task is a material management task that can be completed within a short period of time, it is necessary to select an information display board that matches the characteristics of this short-term material management task to display production data. Here, based on the characteristics of short-term material management tasks, three information display tools are selected: task board, material board, and exception tracking board. The task board can display the execution status and various information of specific tasks in real time; the material board can centrally display data related to various materials, such as current inventory levels, quality status, etc.; the exception tracking board can monitor abnormal situations that may occur during the production process.

[0074] S209. Displaying the task characteristics, material production task progress and real-time operation parameters of the material management task on the task board in real time. The task characteristics include material task duration, material product type and material process complexity.

[0075] After choosing to use the task dashboard, you need to display multiple types of information related to short-term material management tasks on the dashboard in real time. The first is to display the task characteristics, which include task duration, material product type, and process complexity, etc. It is also necessary to display the completion progress of the current task in real time. At the same time, it is also necessary to display real-time operating parameters, that is, the real-time status data of the equipment and system that executes the task.

[0076] S210. The material bill, material inventory information and material key indicators are centrally displayed on the material dashboard. The material bill includes the material name, specification and planned usage. The material inventory information includes the current inventory quantity, safety stock level and inventory status. The material key indicators include material turnover rate, inventory accuracy rate and material utilization rate.

[0077] The material dashboard is an important part of the real-time monitoring and management system of the production line, which is used to centrally display various information related to materials. The bill of materials contains the material name, specification and planned usage, which is a detailed list of materials required in the production process. The material inventory information contains the current inventory, safety stock level and inventory status, which reflects the real-time inventory situation of the materials. The key material indicators include material turnover rate, inventory accuracy and material utilization rate, which are important indicators for measuring the efficiency of material management.

[0078] The system displays this information in a clear and intuitive manner on the material dashboard. For example, the bill of materials can be displayed in a table, which lists the name, specifications and planned usage of each material. Material inventory information can be presented in the form of charts or dashboards, which intuitively show the comparison between the current inventory level and the safety stock level, as well as the inventory status (such as sufficient, alert or out of stock). Key material indicators can be displayed in the form of numbers, percentages or trend charts, allowing managers to quickly understand the overall efficiency of material management. The system can set color coding, such as green for normal, yellow for attention, and red for warning, so that managers can quickly identify issues that need attention. S211. Display material quality abnormality information, inventory abnormality alarm and material equipment abnormality information on the abnormal tracking board. The material quality abnormality information includes unqualified rate, batch quality problems and quality trend analysis. The material equipment abnormality information includes storage equipment failure information and transportation equipment abnormality information.

[0079] The abnormal tracking dashboard is an interface for real-time monitoring and display of various abnormal situations that occur during the production process. Material quality abnormality information includes non-conforming rate, batch quality problems and quality trend analysis, reflecting the problems in material quality. Inventory abnormality alarm is used to prompt abnormal inventory levels. Material equipment abnormality information includes storage equipment failure information and transportation equipment abnormality information, reflecting the operation status of equipment related to materials.

[0080] The system will update and display these exception information in real time on the exception tracking dashboard. For example, material quality exception information can be displayed in the form of a chart to show the changing trend of the non-conforming rate, in the form of a list to show specific batch quality problems, and in the form of a quality trend analysis chart to reflect long-term quality changes. Inventory abnormality alarms can use eye-catching icons or text prompts to indicate which specific materials have inventory abnormalities and the extent of the abnormality. Material equipment abnormality information can be displayed in the form of an equipment status diagram or a list, indicating which specific storage or transportation equipment has failed, as well as the type and severity of the failure. The system can also set different levels of alarms, such as using color, flashing or sound prompts to distinguish the urgency of the abnormality, to help managers quickly identify and deal with the most urgent problems.

[0081] S212: Obtain the actual completion time of the specific production task, and calculate the production line efficiency index based on the task duration and the actual completion time.

[0082] The actual completion time of a production task refers to the actual time taken to complete a specific production task from the beginning to the end. The task duration refers to the time required to complete the task as preset in the production plan. The production line efficiency index is an important parameter to measure the operating efficiency of the production line, which is usually calculated by comparing the actual completion time with the planned time.

[0083] The system automatically records the start and end time of each production task to obtain the actual completion time. The system then compares this actual completion time with the pre-set task duration to calculate the production line efficiency index. The calculation method can be a simple time ratio (planned time / actual time) or a more complex efficiency formula that takes into account factors such as output and quality. For example, if a task is planned to take 8 hours and actually takes 7 hours to complete, then a simple efficiency index may be 114% (8 / 7*100%). The system can set multiple efficiency indicators, such as single task efficiency, daily efficiency, weekly efficiency, etc., and display the efficiency change trend in the form of charts to help managers understand the operation status of the production line in a timely manner, identify efficiency problems and take improvement measures.

[0084] It can be understood that this step can be performed after step S211 or after step S206.

[0085] S213: Compare the production line efficiency index with a preset target efficiency to obtain an efficiency difference value.

[0086] The comprehensive production line efficiency index is a comprehensive index that reflects the overall operating efficiency of the entire production line. It is calculated by weighting multiple sub-indicators, including equipment utilization, product qualification rate, production plan completion rate, etc. The preset target efficiency is the efficiency standard set by the management based on the ideal operating status of the production line and the company's strategic goals. The efficiency difference value is the gap between the actual efficiency and the target efficiency, expressed as an absolute value or percentage.

[0087] The system automatically calculates the comprehensive production line efficiency index and compares it with the preset target efficiency. Taking an actual case as an example, assuming that the comprehensive production line efficiency index is 85% and the preset target efficiency is 90%, the efficiency difference value is -5% or -5 percentage points. The system displays this comparison result in a visual way such as a dashboard, progress bar or trend chart. At the same time, the system sets different levels of difference warnings, such as green (normal) for differences within ±3%, yellow (attention required) for differences between ±3% and ±7%, and red (immediate processing required) for differences exceeding ±7%.

[0088] S214: When the efficiency difference value exceeds a preset threshold, automatically generate efficiency optimization suggestions based on the task characteristics and the real-time operation parameters.

[0089] The efficiency difference value is the difference between the actual efficiency and the target efficiency. The preset threshold is the acceptable efficiency difference range set by the management. Task characteristics include attributes such as task type, complexity, and duration. Real-time operating parameters are real-time operating data of various equipment and processes in the production process. Efficiency optimization suggestions are specific suggestions for improving production efficiency given by the system based on the analysis results.

[0090] When the system detects that the efficiency difference value exceeds the preset threshold, it automatically triggers the optimization suggestion generation mechanism. The system first analyzes the causes of the efficiency difference, such as equipment failure, personnel operation problems, untimely material supply, etc. Then, the system combines the characteristics of the current task (such as task type and complexity) and real-time operating parameters (such as equipment operating status and production line speed) and uses the preset rule base or machine learning algorithm to generate targeted efficiency optimization suggestions.

[0091] For example, if the system detects that the equipment utilization rate of a certain process is low, it will generate a suggestion to "adjust the process schedule or increase the staffing of the process." Another example: the system finds that the supply of a certain material is often delayed, and generates a suggestion to "optimize inventory management strategy or find alternative suppliers."

[0092] S215. Display the efficiency optimization suggestion on the exception tracking dashboard.

[0093] The exception tracking dashboard is an interface in the production management system that centrally displays various abnormal situations and alarms. The efficiency optimization suggestions are specific suggestions for improving production efficiency given by the system based on the efficiency analysis results.

[0094] The system will display the automatically generated efficiency optimization suggestions in real time on the exception tracking dashboard, so that managers can obtain this information in time. The display method is in the form of a list, and the suggestions are arranged according to priority or chronological order. Each suggestion contains the following content: problem description, impact level, recommended measures, expected results, etc. Specific example: "Problem: Equipment utilization rate of process A is less than 70%; Impact: Overall efficiency is reduced by 5%; Recommendation: Adjust the process staffing and add 1 operator; Expected effect: Increase equipment utilization rate to 85%, and overall efficiency is increased by 3%." The system sets different display styles for suggestions of different types or urgency, such as color coding or icons, so that managers can quickly identify the issues that need the most attention. In addition, the system provides interactive functions that allow managers to provide feedback, mark or assign suggestions to relevant responsible persons, and track the implementation of suggestions.

[0095] S216. Based on the key indicators and the real-time operating parameters displayed on the information display board, set a multi-level abnormal warning threshold.

[0096] The information display board is an interface used to display various types of production information in the real-time monitoring and management system of the production line. Key indicators are important parameters that reflect the operating status of the production line, such as production efficiency, quality qualification rate, etc. Real-time operating parameters are real-time data of various equipment and processes in the production process. Multi-level abnormal warning thresholds are a series of reference values ​​used to determine whether the production status is abnormal, usually divided into multiple levels, such as normal, attention, warning, severe, etc.

[0097] Based on the data on the information display board, the system sets multi-level abnormal warning thresholds for each key indicator and real-time operating parameter. For example, for the parameter of equipment temperature, the system may set the following thresholds: 0-50℃ is normal (green), 51-60℃ is attention (yellow), 61-70℃ is warning (orange), and above 71℃ is severe (red). The system determines these thresholds by analyzing historical data, considering equipment specifications and production requirements. Managers can also adjust these thresholds according to actual production needs. The system stores these thresholds in the database and associates them with the corresponding indicators and parameters.

[0098] It can be understood that this step can be performed after step S215 or after step S206.

[0099] S217. Monitor the changes of the key indicators and real-time operating parameters in real time. When it is detected that the warning parameter threshold is exceeded, an abnormal alarm of a preset level is triggered on the abnormal tracking dashboard. The preset level corresponds to the multi-level abnormal warning threshold.

[0100] Key indicators and real-time operating parameters are important data that reflect the status of the production line. The warning parameter threshold is the standard for judging whether these data are abnormal. The abnormal tracking dashboard is an interface for displaying various abnormal situations. The preset level of abnormal alarm is a warning message of different levels triggered by the system according to the degree of abnormality.

[0101] The system continuously monitors changes in all key indicators and real-time operating parameters. When any indicator or parameter exceeds its corresponding warning threshold, the system immediately triggers an alarm of the corresponding level on the abnormal tracking dashboard. For example, if the temperature of a device reaches 65°C, exceeding the threshold of the "warning" level (61-70°C), the system will display an orange warning message on the abnormal tracking dashboard, which may include information such as the device name, current temperature, and degree of excess. The system sets different display methods according to different levels of alarms, such as color coding (green, yellow, orange, red), icon changes or flashing effects, etc., to attract the attention of managers. At the same time, the system can ensure that relevant personnel can be informed of abnormal situations in a timely manner through sound prompts, text messages or email notifications.

[0102] S218: When an access operation of a hardware component is detected, identify the type, function and communication protocol of the hardware component.

[0103] Hardware components are various devices and sensors in the production line. Onboarding is the process of connecting a new hardware component to the system. The type of a hardware component refers to which device category it belongs to, such as sensor, controller, actuator, etc. Function refers to the role of the component in the production process. Communication protocols are the rules and formats for hardware components to exchange data with the system.

[0104] When the system detects the connection of a new hardware component, it automatically starts the identification process. First, the system detects the presence of a new device through a hardware interface or network connection. Then, the system reads the identification information of the hardware component, such as device ID, model, etc. Based on this information, the system queries the preset device database to identify the specific type and function of the hardware component. For example, the system may identify that a newly connected device is a temperature sensor whose function is to monitor the temperature of a specific process. At the same time, the system determines the communication protocol used by the hardware component, such as Modbus, PROFINET, or OPC UA. Based on the identification results, the system automatically configures the corresponding driver and communication parameters to ensure that the data of the hardware component can be correctly read and parsed.

[0105] It can be understood that this step can be performed after step S217 or after step S206.

[0106] S219. Assign a unique identifier to the hardware component based on the type, the function, and the communication protocol.

[0107] The type of a hardware component refers to its device category, such as sensor, controller, or actuator. Function refers to the specific role of the component in the production process. The communication protocol is the rules and format for the hardware component to exchange data with the system. The unique identifier is a unique code or string that uniquely identifies the hardware component in the system.

[0108] The system generates and assigns a unique identifier based on the type, function, and communication protocol of the identified hardware component. This identifier is usually a structured string that contains key information about the component. For example, for a temperature sensor, its unique identifier may be "TS-001-MOD-TEMP", where "TS" indicates the sensor type, "001" is the serial number, "MOD" indicates the use of the Modbus protocol, and "TEMP" indicates the temperature measurement function. The system stores this unique identifier in the database together with the detailed information of the hardware component. This identification method enables the system to quickly and accurately identify and manage each hardware component, facilitating subsequent configuration, monitoring, and maintenance work. At the same time, the system ensures that all assigned identifiers are unique to avoid duplication or confusion.

[0109] S220: Mark the component position of the hardware component in the production line layout based on the unique identifier, and display the status of the hardware component at the component position on the integrated dashboard.

[0110] The unique identifier is a code used to uniquely identify a hardware component in a system. The component location refers to the specific installation location of the hardware component in the entire production line layout. The production line layout is a plan or three-dimensional diagram of the entire production line. The status of the hardware component refers to the current working condition of the component, such as normal operation, standby, fault, etc.

[0111] The system uses the unique identifier assigned to the hardware component to mark the exact location of the component on the production line layout. This process can be done by manually entering the coordinates or using the drag-and-drop interface. For example, for a temperature sensor with the identifier "TS-001-MOD-TEMP", the system will add an icon or mark to the corresponding location on the production line layout. The system then displays the location and real-time status of this hardware component on the production line layout on the integrated dashboard. The status display can be represented by different colors or icons, such as green for normal operation, yellow for maintenance, and red for failure. When the user clicks or hovers over the icon of the component, the system will display more detailed information, such as current readings, operating hours, recent maintenance records, etc.

[0112] The following describes the embodiments of the present invention from the perspective of system architecture. Figure 3 As shown, Figure 3 It is an architectural diagram of the real-time monitoring and management method of a visual production line in an embodiment of the present application.

[0113] exist Figure 3 In the document, the whole system consists of several key parts, including the plan board and task board, PC and display, exception tracking board, data collector, network connection identification cloud computing resources, LED lights and alarm devices, barcode scanner and printer, and equipment control system. The plan board is used to receive and display the overall production plan, while the task board displays specific production tasks and their progress, which is consistent with the document's description of receiving the production plan through the plan board and displaying its parsing into specific production tasks. The PC and display are used as the system's operating interface to display real-time data and monitoring interfaces, matching the hardware configuration of the management system. The exception tracking board is specifically used to display abnormal conditions in the production process, ensuring that any parameters exceeding the preset threshold can be identified and trigger warnings in a timely manner, which is directly related to the monitoring and warning functions of abnormal information mentioned in the document. The data collector is responsible for collecting real-time operating data from various sensors and equipment on the production line. The system processes and stores data through cloud computing resources, supporting efficient data management and possible remote operation functions. LED lights and alarm devices are used to provide visual and auditory warnings when any abnormality is detected, prompting operators to take necessary countermeasures. Barcode scanners and printers support instant identification and tracking of materials, which is essential to ensure the accuracy and efficiency of material management. Finally, the equipment control system adjusts the operating parameters of production equipment based on real-time data to optimize the production process.

[0114] The following describes the real-time monitoring management system in the embodiment of the present invention from the perspective of hardware processing. Figure 4 , which is a schematic diagram of the structure of a physical device of the real-time monitoring and management system in an embodiment of the present application.

[0115] It should be noted that Figure 4 The structure of the real-time monitoring management system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0116] like Figure 4 As shown, the real-time monitoring management system includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. In RAM403, various programs and data required for system operation are also stored. CPU401, ROM402 and RAM403 are connected to each other through bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0117] The following components are connected to the I / O interface 405: an input section 306 including an audio input device, a button switch, etc.; an output section 407 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0118] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 409, and / or installed from a removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, various functions defined in the present invention are performed.

[0119] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0120] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0121] Specifically, the real-time monitoring and management system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the visual production line real-time monitoring and management method provided in the above embodiment is implemented.

[0122] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the real-time monitoring management system described in the above embodiment; or may exist independently without being assembled into the real-time monitoring management system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the real-time monitoring management system, the real-time monitoring management system implements the visual production line real-time monitoring management method provided in the above embodiment.

[0123] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0124] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0125] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A visual production line real-time monitoring and management method, characterized in that: Applied to real-time monitoring and management system, the method comprises: Receive and display the production plan through the plan dashboard, and resolve the production plan into specific production tasks; Select an information display board corresponding to the specific production task, where the information display board types include task board, material board, production line tracking board, abnormality tracking board and comprehensive board; Extracting the task features of the specific production task, and performing statistics on the specific production task to obtain the production task progress, wherein the task features include task duration, product type, and process complexity; Selecting key indicators and data update frequency corresponding to the specific production task based on the task characteristics, wherein the key indicators include production efficiency, quality pass rate, energy consumption and production cycle; Acquire the hardware configuration components related to the specific production task, and acquire the real-time operating parameters of the hardware configuration components; The task characteristics, the production task progress, the key indicators and the real-time operation parameters are displayed on the information display board according to the data update frequency.

2. The method according to claim 1, characterized in that The step of selecting the key indicators and data update frequency corresponding to the specific production task based on the task characteristics specifically includes: Classifying the specific production task into a short-term task, a medium-term task or a long-term task according to the task duration, wherein the key indicators corresponding to the short-term task include production efficiency and quality pass rate, the key indicators corresponding to the medium-term task include production efficiency, quality pass rate and energy consumption, and the key indicators corresponding to the long-term task include production efficiency, quality pass rate, energy consumption and production cycle; A data update frequency corresponding to the task type of the specific production task is selected in the preset frequency database.

3. The method according to claim 1, characterized in that The step of displaying the task characteristics, the production task progress, the key indicators and the real-time operation parameters on the information display board according to the data update frequency specifically includes: Acquire a preset user-defined layout, and arrange the information display board based on the preset user-defined layout; Integrate and display the task characteristics, the production task progress, the key indicators and the real-time operation parameters on the information display board; Refresh the data on the information display board in real time based on the data update frequency; When any one of the production task progress, the key indicator and the real-time operation parameter exceeds a preset threshold, a visual warning is triggered in the information display board.

4. The method according to claim 2, characterized in that: After the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method further includes: When the specific production task is a material management task, determining the specific production task classification according to the task duration of the material management task; When the specific production task is a material management task and is a short-term task, a task kanban, a material kanban and an exception tracking kanban are selected for information display; The task characteristics, material production task progress and real-time operation parameters of the material management task are displayed in real time on the task board, wherein the task characteristics include material task duration, material product type and material process complexity; The material dashboard centrally displays the material list, material inventory information and material key indicators, wherein the material list includes the material name, specification and planned usage, the material inventory information includes the current inventory, safety inventory level and inventory status, and the material key indicators include material turnover rate, inventory accuracy rate and material utilization rate; The abnormal material quality information, abnormal inventory alarm and abnormal material equipment information are displayed on the abnormal tracking board. The abnormal material quality information includes unqualified rate, batch quality problems and quality trend analysis. The abnormal material equipment information includes storage equipment failure information and transportation equipment abnormal information.

5. The method according to any one of claims 1 to 3, characterized in that: After the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method further includes: Obtaining the actual completion time of the specific production task, and calculating the production line efficiency index based on the task duration and the actual completion time; Comparing the production line efficiency index with a preset target efficiency to obtain an efficiency difference value; When the efficiency difference value exceeds a preset threshold, automatically generating efficiency optimization suggestions based on the task characteristics and the real-time operation parameters; The efficiency optimization suggestion is displayed on the exception tracking dashboard.

6. The method according to any one of claims 1 to 3, characterized in that: After the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method further includes: Based on the key indicators and real-time operating parameters displayed on the information display board, setting multi-level abnormal warning thresholds; The changes of the key indicators and real-time operating parameters are monitored in real time, and when it is detected that the warning parameter threshold is exceeded, an abnormal alarm of a preset level is triggered on the abnormal tracking dashboard, and the preset level corresponds to the multi-level abnormal warning threshold.

7. The method according to any one of claims 1 to 3, characterized in that: After the step of displaying the production task progress, the key indicators and the real-time operating parameters on the information display board, the method further includes: In case of detecting an access operation of a hardware component, identifying the type, function and communication protocol of the hardware component; assigning a unique identifier to the hardware component based on the type, the function, and the communication protocol; The component position of the hardware component in the production line layout is marked based on the unique identifier, and the status of the hardware component at the component position is displayed on the integrated dashboard.

8. A real-time monitoring and management system, characterized in that: The real-time monitoring and management system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the real-time monitoring and management system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the real-time monitoring management system, the real-time monitoring management system executes the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product runs on a real-time monitoring management system, the real-time monitoring management system executes the method according to any one of claims 1 to 7.

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