Equipment production optimization method and system based on artificial intelligence
By analyzing the equipment production process using artificial intelligence and optimizing equipment start-up time, the problem of extended production cycles caused by substandard production equipment environments has been solved, resulting in more efficient production.
Patent Information
- Application Number
- CN202510969304.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-10-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When producing products, if the production equipment is not turned on in advance, the environment inside the production equipment cannot meet the production conditions of the product, resulting in an extension of the production cycle.
By using AI-based equipment production optimization methods, the processing sequence information of each sub-task is obtained, equipment performance and adjustment time are analyzed, and the start-up time of the equipment is determined to optimize the production process.
It shortens the product production cycle, improves production efficiency, and avoids resource waste and increased production costs.
Smart Images
Figure CN120806601A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of data processing, in particular to a device production optimization method and system based on artificial intelligence. BACKGROUND
[0002] With the improvement of industrialization and automation level, the efficiency, quality and cost control of device production have become important factors of manufacturing enterprise competitiveness.
[0003] Producing a product needs to process raw materials through multiple processes, and the equipment used in different production processes is different. Some products require specific conditions during production, so the parameters of the production equipment need to be adjusted to make the internal environment of the production equipment meet the production requirements of the product. If the production equipment is not started in advance during the production of the product, the internal environment of the production equipment cannot meet the production conditions of the product, thereby prolonging the production cycle of the product. SUMMARY
[0004] To solve the above technical problems, a device production optimization method and system based on artificial intelligence are provided, which solve the problem of not starting the production equipment in advance during the production of the product, so that the internal environment of the production equipment cannot meet the production conditions of the product, thereby prolonging the production cycle of the product.
[0005] To achieve the above purposes, the technical scheme adopted by the present application is as follows: A device production optimization method based on artificial intelligence, comprising: obtaining each sub-task containing processing sequence information, based on an intelligent analysis terminal, performing content analysis on each sub-task containing processing sequence information to determine the processing time required by each sub-task; based on the intelligent analysis terminal, performing equipment performance analysis on each sub-task containing processing sequence information to determine the adjustment time of the required equipment in each sub-task; based on the intelligent analysis terminal, performing time analysis on the processing time required by each sub-task and the adjustment time of the required equipment in each sub-task to determine the start time of the required equipment in each sub-task.
[0006] Preferably, the obtaining each sub-task containing processing sequence information, based on the intelligent analysis terminal, performing content analysis on each sub-task containing processing sequence information to determine the processing time required by each sub-task comprises the following steps: based on the intelligent analysis terminal, performing data reading processing on the unprocessed task list in the task list to obtain the to-be-processed task; based on the intelligent analysis terminal, performing content extraction processing on the to-be-processed task to obtain the equipment type required by the task; Based on the intelligent analysis terminal, the type of equipment required by the task is analyzed in position, and each sub-task containing processing sequence information is obtained; Based on the intelligent analysis terminal, the processing data of the completed task is obtained by matching the database system with the to-be-processed task as a feature; wherein the completed task and the to-be-processed task are the same task; Based on the intelligent analysis terminal, the processing time of each sub-task is determined by predicting the processing data of the completed task as a feature.
[0007] Preferably, the type of equipment required by the task is analyzed in position based on the intelligent analysis terminal, and each sub-task containing processing sequence information specifically includes the following steps: Based on the intelligent analysis terminal, the database system is read and processed to obtain a factory equipment distribution map and a factory internal layout map; Based on the intelligent analysis terminal, the installation position of the equipment required by the task is determined by matching the type of equipment required by the task with the factory equipment distribution map; Based on the intelligent analysis terminal, the distance data between the equipment required by the task is determined by calculating the distance of the internal layout map with the installation position of the equipment required by the task as a feature; Based on the intelligent analysis terminal, each sub-task is determined by comparing and analyzing the distance data between the equipment required by the task; Based on the intelligent analysis terminal, the function of the equipment required by the task in each sub-task is determined by reading and processing the information of the equipment required by the task; Based on the intelligent analysis terminal, each sub-task containing processing sequence information is determined by matching the to-be-processed task with the function of the equipment required by the task as a feature.
[0008] Preferably, the distance data between the equipment required by the task is compared and analyzed based on the intelligent analysis terminal to determine each sub-task, which specifically includes the following steps: Based on the intelligent analysis terminal, the production process corresponding to the to-be-processed task is determined by searching the database system with the to-be-processed task as a feature; Based on the intelligent analysis terminal, the distance data between the processing equipment is determined by analyzing the production process corresponding to the to-be-processed task; Based on the intelligent analysis terminal, the distance data between the equipment required by the task and the distance data between the processing equipment are judged; If the distance data between the equipment required by the task is greater than or equal to the distance data between the processing equipment, the part of the task corresponding to the distance data between the equipment required by the task is a different sub-task; If the distance data between the devices required by the task is less than the distance data between the processing devices, the part of the task corresponding to the distance data between the devices required by the task is the same subtask.
[0009] Preferably, the intelligent analysis terminal is used to predict the time of each subtask based on the processing data of the completed task. The intelligent analysis terminal is used to classify the processing data of the completed task based on each subtask containing processing sequence information. The intelligent analysis terminal is used to extract the processing data of the completed task to obtain the product processing quantity of the completed task. The intelligent analysis terminal is used to read the processing data of each completed subtask to determine the processing time of each completed subtask. The intelligent analysis terminal is used to calculate the processing time of each completed subtask and the product processing quantity of the completed task to determine the average processing time of each product in each subtask. The intelligent analysis terminal is used to read the processing data of the completed task to obtain the product processing quantity of the completed task. The intelligent analysis terminal is used to calculate the processing time of each completed subtask and the product processing quantity of the completed task to determine the average processing time of each product in each subtask.
[0010] Preferably, the intelligent analysis terminal is used to analyze the performance of each subtask containing processing sequence information to determine the adjustment time of the required device in each subtask. The intelligent analysis terminal is used to extract the information of the production process corresponding to the task to be processed to determine the processing conditions of the product in each subtask. The intelligent analysis terminal is used to adjust the parameters of the required device in each subtask based on the processing conditions of the product in each subtask to determine the real-time state of the required device in each subtask. The intelligent analysis terminal is used to compare and analyze the processing conditions of the product in each subtask and the real-time state of the required device in each subtask to determine the adjustment time of the required device in each subtask.
[0011] Preferably, the intelligent analysis terminal is used to compare and analyze the processing conditions of the product in each subtask and the real-time state of the required device in each subtask to determine the adjustment time of the required device in each subtask. The intelligent analysis terminal judges and processes the processing condition of the product in each subtask and the real-time state of the required equipment in each subtask. If the real-time state of the required equipment in each subtask meets the processing condition of the product in each subtask, the state change duration of the required equipment in each subtask is recorded, and the state change duration of the required equipment in each subtask is set as the adjustment time of the required equipment in each subtask. If the real-time state of the required equipment in each subtask does not meet the processing condition of the product in each subtask, the real-time state of the required equipment in each subtask is continuously recorded and compared with the processing condition of the product in each subtask, and when the real-time state of the required equipment in each subtask meets the processing condition of the product in each subtask, the state change duration of the required equipment in each subtask is recorded, and the state change duration of the required equipment in each subtask is set as the adjustment time of the required equipment in each subtask.
[0012] Preferably, the intelligent analysis terminal performs time analysis on the processing time required for each subtask and the adjustment time of the required equipment in each subtask to determine the start time of the required equipment in each subtask, which specifically includes the following steps: The intelligent analysis terminal extracts information from each subtask containing processing sequence information and the processing time required for each subtask to determine the first processing subtask and the processing time required for the first processing subtask. The intelligent analysis terminal extracts information from the adjustment time of the required equipment in each subtask to obtain the adjustment time of the required equipment in the second processing subtask. The intelligent analysis terminal performs time analysis on the adjustment time of the required equipment in the second processing subtask and the processing time required for the first processing subtask to determine the start time of the required equipment in the second processing subtask. The intelligent analysis terminal performs time analysis on the adjustment time of the required equipment in the subsequent subtask according to the determination method of the start time of the required equipment in the second processing subtask to determine the start time of the required equipment in each subtask.
[0013] Preferably, the intelligent analysis terminal performs time analysis on the adjustment time of the required equipment in the second processing subtask and the processing time required for the first processing subtask to determine the start time of the required equipment in the second processing subtask, which specifically includes the following steps: The intelligent analysis terminal performs time analysis on the adjustment time of the required equipment in the second processing subtask and the processing time required for the first processing subtask. If the adjustment time of the required equipment in the second processing subtask is greater than the processing time required for the first processing subtask. Based on the intelligent analysis terminal, a difference is calculated between the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine a first time difference; Based on the intelligent analysis terminal, the data of the processing tasks to be processed is extracted and processed to determine the start time of the processing tasks; Based on the intelligent analysis terminal, the first time difference and the start time of the task to be processed are calculated and processed to determine the start time of the equipment required for the second processing subtask; If the adjustment time of the equipment required in the second processing subtask is equal to the processing time required for the first processing subtask, the start time of the task to be processed is set to the start time of the equipment required in the second processing subtask; If the adjustment time of the equipment required in the second processing subtask is less than the processing time required for the first processing subtask; Based on the intelligent analysis terminal, a difference is calculated between the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine a second time difference; Based on the intelligent analysis terminal, the second time difference and the start time of the task to be processed are calculated and processed to determine the start time of the equipment required in the second processing subtask.
[0014] Furthermore, an artificial intelligence-based equipment production optimization system is proposed, which is used to implement the artificial intelligence-based equipment production optimization method mentioned above, including: An intelligent analysis terminal is used to control each module to perform content analysis, equipment performance analysis, and time analysis on the processing tasks to be processed, and determine the start time of the equipment required for each subtask; the intelligent analysis terminal is used to control information exchange and data transmission between each module; A database system for storing a plant equipment distribution map, a plant internal layout map, production processes corresponding to tasks to be processed, and processing data for completed tasks; A task splitting module is used to determine the location of the equipment type required for the task, compare distance data, and match the task flow, and determine each subtask containing processing sequence information; A processing time determination module, which is used to calculate and analyze the processing data of the completed task and each subtask containing processing sequence information to determine the processing time required for each subtask; An equipment adjustment time determination module is used to compare and analyze the processing conditions of the product in each subtask and the real-time status of the equipment required for each subtask, and determine the adjustment time of the equipment required for each subtask; A device opening time determination module is configured to analyze the processing time of each subtask and the adjustment time of the required device in each subtask, and determine the opening time of the required device in each subtask.
[0015] Further, a storage medium is provided, which stores a computer program.
[0016] Compared with the prior art, the present application provides an artificial intelligence-based device production optimization method and system, which has the following beneficial effects: The present application first analyzes the process of the to-be-processed task to determine the processing time of different subtasks in the to-be-processed task, then performs time prediction on each subtask to determine the adjustment time of the required device in each subtask, and finally compares and analyzes the processing time of each subtask and the adjustment time of the required device in each subtask to determine the opening time of the required device in each subtask. BRIEF DESCRIPTION OF DRAWINGS
[0017] Figure 1 A flowchart of steps S100-S300 in an artificial intelligence-based device production optimization method proposed by the present application is provided. Figure 2 A structure block diagram of an artificial intelligence-based device production optimization system proposed by the present application is provided. DETAILED DESCRIPTION
[0018] The following description is provided to disclose the present application so that those skilled in the art can implement the present application.
[0019] Referring to Figure 1 The artificial intelligence-based device production optimization method includes: S100, obtaining each subtask containing processing sequence information, performing content analysis on each subtask containing processing sequence information based on an intelligent analysis terminal, and determining the processing time of each subtask; S200, performing device performance analysis on each subtask containing processing sequence information based on the intelligent analysis terminal, and determining the adjustment time of the required device in each subtask; S300, based on the intelligent analysis terminal, time analysis is performed on the processing time of each subtask and the adjustment time of the required equipment in each subtask to determine the opening time of the required equipment in each subtask; It can be understood by those skilled in the art that a product needs to go through multiple production processes to be completely produced, and the equipment used in different production processes is different, and the environmental conditions required for the raw materials of the product are also different when they go through different processes. Some production environment needs to run for a period of time before the equipment can meet the production requirements of the product. If the raw materials of the product complete the previous production process and need to enter the next production process, but the environmental conditions required for the next production process have not yet met the production requirements of the product, the raw materials need to be processed after the environmental conditions meet the production requirements of the product. If the waiting time is too long, the production cycle of the product will be prolonged, and the production efficiency of the product will be reduced. Therefore, the process of the task to be processed is analyzed first to determine how many processes the task to be processed needs to go through, and then the equipment required in each process is analyzed to determine whether the equipment needs to be started in advance to build the production environment, thereby avoiding the need for the raw materials of the product to wait for the next production process, reducing the waiting time of the raw materials of the product, and shortening the production cycle of the product.
[0020] Embodiment 1 S100, obtaining each subtask containing processing sequence information, based on the intelligent analysis terminal, content analysis is performed on each subtask containing processing sequence information to determine the processing time of each subtask, which specifically includes the following steps: S101, based on the intelligent analysis terminal, data reading processing is performed on the unprocessed task list in the task list to obtain the task to be processed; S102, based on the intelligent analysis terminal, content extraction processing is performed on the task to be processed to obtain the equipment type required by the task; It can be understood that a production workshop will have multiple equipment, and different products may require the use of different production equipment. Therefore, by extracting the content of the task to be processed, the equipment type required to complete the task to be processed is determined; S103, based on the intelligent analysis terminal, position analysis is performed on the equipment type required by the task to obtain each subtask containing processing sequence information; It can be understood that a product needs to go through multiple production processes to obtain a product that meets the standards, so the different processes that the task to be processed needs to go through are set as different subtasks; S104, based on the intelligent analysis terminal, information matching processing is performed on the database system with the task to be processed as a feature to obtain the processing data of the completed task; wherein the completed task and the task to be processed are the same task; S105, based on the intelligent analysis terminal, time prediction is performed on each subtask containing the processing sequence information based on the processing data of the completed task, and processing time required by each subtask is determined. It can be understood that the processing time required by raw materials of a product in different production processes is different, and therefore, the processing time required by each subtask needs to be determined before the opening time of the production equipment is determined. If the opening time of the production equipment is too early, when the production environment meets the production requirements, the product is still being processed in the previous production process, and a long time is required for the processing to be completed. Therefore, the production equipment needs to maintain the production environment, which causes waste of resources and increases the cost of the product.
[0021] S103, based on the intelligent analysis terminal, position analysis is performed on the equipment type required by the task, and each subtask containing the processing sequence information is obtained, and the method comprises the following steps: S1031, based on the intelligent analysis terminal, data reading and processing are performed on the database system, and a factory equipment distribution map and a factory internal layout map are obtained. It can be understood that a factory will install multiple production equipment, and a factory will produce different types of products, and the equipment types used by different types of products may be different. Therefore, the installation position of the equipment required by the task needs to be determined by position analysis on the factory equipment distribution map. S1032, based on the intelligent analysis terminal, matching processing is performed on the equipment type required by the task and the factory equipment distribution map, and the installation position of the equipment required by the task is determined. S1033, based on the intelligent analysis terminal, distance calculation processing is performed on the factory internal layout map based on the installation position of the equipment required by the task, and distance data between the equipment required by the task is determined. S1034, based on the intelligent analysis terminal, comparison analysis is performed on the distance data between the equipment required by the task, and each subtask is determined. S1035, based on the intelligent analysis terminal, information reading and processing are performed on the equipment required by the task in each subtask, and the function of the equipment required by the task is determined. S1036, based on the intelligent analysis terminal, process matching processing is performed on the task to be processed based on the function of the equipment required by the task, and each subtask containing the processing sequence information is determined. S1034, based on the intelligent analysis terminal, comparison analysis is performed on the distance data between the equipment required by the task, and each subtask is determined. The method comprises the following steps: S10341, based on the intelligent analysis terminal, information retrieval processing is performed on the database system based on the task to be processed, and the production process corresponding to the task to be processed is determined. S10342, based on the intelligent analysis terminal, process analysis is performed on the production process corresponding to the to-be-processed task to determine distance data between processing equipment; It can be understood that the product should strictly follow its corresponding production process during production, and the installation position of the processing equipment also needs to be determined according to the production process. If the processing equipment of different processes is too close, the equipment may be damaged. For example, after the components are installed on the circuit board, the circuit board needs to be shaped at high temperature to firmly weld the components on the PCB. Therefore, the process requires a high-temperature environment, and the equipment for electroplating the circuit board cannot be placed in a high-temperature environment. S10343, based on the intelligent analysis terminal, the distance data between the required equipment of the task and the distance data between the processing equipment are judged and processed; S10344, if the distance data between the required equipment of the task is greater than or equal to the distance data between the processing equipment, the part of the task corresponding to the distance data between the required equipment of the task is a different subtask; S10345, if the distance data between the required equipment of the task is less than the distance data between the processing equipment, the part of the task corresponding to the distance data between the required equipment of the task is the same subtask; It can be understood that different processes of a product in the production process will not be placed together. For example, the circuit board needs to go through processes such as electroplating, drilling, component installation, and detection during production, and the environmental conditions required by these devices are different. Therefore, the installation positions of these devices will be different. Therefore, by judging the distance data between the required equipment of the task, different subtasks in the to-be-processed task are determined, and the subsequent analysis of these subtasks is performed to determine the processing time required by different subtasks, and then the opening time of the required equipment in each subtask is determined.
[0022] S105, based on the intelligent analysis terminal, the processing data of the completed task is used as a feature to perform time prediction on each subtask containing processing sequence information to determine the processing time required by each subtask, specifically including the following steps: S1051, based on the intelligent analysis terminal, the processing data of the completed task is classified and processed by taking each subtask containing processing sequence information as a feature to determine the processing data of each completed subtask; S1052, based on the intelligent analysis terminal, data extraction processing is performed on the processing data of the completed task to obtain the product processing quantity of the completed task; S1053, based on the intelligent analysis terminal, data reading processing is performed on the processing data of each completed subtask to determine the processing time of each completed subtask; S1054. Calculate the processing time of each completed subtask and the number of products processed for each completed task based on the intelligent analysis terminal to determine the average processing time of each product in each subtask. S1055. Based on the intelligent analysis terminal, data of the task to be processed is read and processed to obtain the processing quantity of the product of the task to be processed; S1056. Based on the intelligent analysis terminal, the number of products to be processed and the average processing time of each product in each subtask are calculated and processed to determine the processing time required for each subtask; In this embodiment, in order to determine the processing time of each product in different subtasks, it is necessary to find a reference group, and the completed task that is the same as the task to be processed is the best reference group. Therefore, a completed task with the same content as the task to be processed is extracted from the database system. It can be understood that the products processed by the completed task and the task to be processed are the same, and the only difference may be the number of processed products. Therefore, the processing data of the completed task is classified according to each subtask in the task to be processed, and the processing time of each completed subtask is determined. The processing time of each completed subtask is calculated according to the number of products processed in the completed task, and the average processing time of each product in different subtasks is determined. Then, according to the number of products required to be processed by the task to be processed, the processing time required for each subtask of the task to be processed can be obtained. Subsequent time analysis can determine the start time of the processing equipment.
[0023] Example 2 S200, based on the intelligent analysis terminal, performs equipment performance analysis on each subtask containing processing sequence information, and determines the equipment adjustment time required for each subtask, specifically including the following steps: S201. Based on the intelligent analysis terminal, extract and process the production process corresponding to the processing task to be processed, and determine the processing conditions of the product in each subtask; It is understandable that a product needs to go through different production processes during processing, and different production processes correspond to different processing conditions. Therefore, it is necessary to adjust the parameters of the production equipment according to the processing conditions of the products in different subtasks so that the production equipment can build a production environment suitable for product processing; S202, based on the intelligent analysis terminal, adjusting the parameters of the equipment required for each subtask based on the processing conditions of the product in each subtask as the characteristics, and determining the real-time status of the equipment required for each subtask; S203. Based on the intelligent analysis terminal, a comparative analysis is performed on the processing conditions of the product in each subtask and the real-time status of the equipment required for each subtask to determine the adjustment time of the equipment required for each subtask; In S203, the intelligent analysis terminal compares and analyzes the processing conditions of the product in each subtask and the real-time state of the required equipment in each subtask to determine the adjustment time of the required equipment in each subtask, which includes the following steps: S2031, the intelligent analysis terminal judges and processes the processing conditions of the product in each subtask and the real-time state of the required equipment in each subtask; S2032, if the real-time state of the required equipment in each subtask meets the processing conditions of the product in each subtask, the state change duration of the required equipment in each subtask is recorded, and the state change duration of the required equipment in each subtask is set as the adjustment time of the required equipment in each subtask; S2033, if the real-time state of the required equipment in each subtask does not meet the processing conditions of the product in each subtask, the real-time state of the required equipment in each subtask is continuously recorded and compared with the processing conditions of the product in each subtask, and when the real-time state of the required equipment in each subtask meets the processing conditions of the product in each subtask, the state change duration of the required equipment in each subtask is recorded, and the state change duration of the required equipment in each subtask is set as the adjustment time of the required equipment in each subtask; In this embodiment, the required environment for different production processes is different. For example, the circuit board only needs to be processed at room temperature during electroplating, so there is no need to start the equipment in advance. After the electronic components of the circuit board are installed, the circuit board needs to be shaped at high temperature. Assuming that the temperature required by the electronic components of the circuit board during shaping is 500°C, the production equipment parameters need to be adjusted to make the temperature inside the production equipment reach 500°C. If the temperature inside the production equipment does not reach 500°C, the product cannot be produced. The internal temperature of the production equipment will not always be maintained at 500°C, which will cause waste of resources. Therefore, the production equipment needs to be warmed up, and the warming up process needs to be waited. If the production equipment is not started in advance to warm up, the temperature needs to be reached before shaping after the completion of the previous production process, which will prolong the production cycle of the product and reduce the production efficiency.
[0024] Embodiment 3 S300, based on the intelligent analysis terminal, time analysis is performed on the processing time required by each subtask and the adjustment time of the required equipment in each subtask to determine the start time of the required equipment in each subtask, which includes the following steps: S301, based on the intelligent analysis terminal, information extraction processing is performed on each subtask containing processing sequence information and the processing time required by each subtask to determine the first processing subtask and the processing time required by the first processing subtask; S302, based on the intelligent analysis terminal, information extraction processing is performed on the adjustment time of the required equipment in each subtask, and the adjustment time of the required equipment in the second processing subtask is obtained; S303, based on the intelligent analysis terminal, time analysis processing is performed on the adjustment time of the required equipment in the second processing subtask and the processing required time of the first processing subtask, and the opening time of the required equipment in the second processing subtask is determined; S304, based on the intelligent analysis terminal, the adjustment time of the required equipment in the subsequent subtask is analyzed according to the determination mode of the opening time of the required equipment in the second processing subtask, and the opening time of the required equipment in each subtask is determined. It can be understood that some production processes need to start the production equipment in advance to build the production environment, and some production processes do not need to start the production equipment in advance to build the production environment. If the production equipment is started too early, the production cost of the product will be increased, because the product needs a period of time to reach the next production process, and the next production equipment needs to maintain the production environment all the time, which will cause waste of resources. If the production equipment is started too short, the environment inside the production equipment cannot meet the production requirements, and the product cannot enter the next production process, thereby prolonging the production cycle of the product.
[0025] S303, based on the intelligent analysis terminal, time analysis processing is performed on the adjustment time of the required equipment in the second processing subtask and the processing required time of the first processing subtask, and the opening time of the required equipment in the second processing subtask is determined. S3031, based on the intelligent analysis terminal, the adjustment time of the required equipment in the second processing subtask and the processing required time of the first processing subtask are judged and processed; S3032, if the adjustment time of the required equipment in the second processing subtask is greater than the processing required time of the first processing subtask; S3033, based on the intelligent analysis terminal, the adjustment time of the required equipment in the second processing subtask and the processing required time of the first processing subtask are calculated by difference, and the first time difference value is determined; S3034, based on the intelligent analysis terminal, data extraction processing is performed on the to-be-processed task, and the opening time of the to-be-processed task is determined; S3035, based on the intelligent analysis terminal, the first time difference value and the opening time of the to-be-processed task are calculated and processed, and the opening time of the required equipment in the second processing subtask is determined; S3036, if the adjustment time of the required equipment in the second processing subtask is equal to the processing required time of the first processing subtask, the opening time of the to-be-processed task is set as the opening time of the required equipment in the second processing subtask; S3037: If the adjustment time of the equipment required for the second processing subtask is less than the processing time required for the first processing subtask; S3038. Based on the intelligent analysis terminal, calculate the difference between the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine a second time difference; S3039. Calculate and process the second time difference and the start time of the task to be processed based on the intelligent analysis terminal to determine the start time of the equipment required for the second processing subtask; In this embodiment, some production processes require production equipment to establish a special production environment before product processing can be performed. However, establishing a special production environment takes a certain amount of time. Therefore, the production equipment needs to be started in advance to establish the production environment. Starting the production equipment too early will result in a waste of resources, while starting the production equipment too late will extend the product production cycle. Therefore, the adjustment time of the equipment required for each subtask is compared with the processing time required for each subtask to determine the start-up time of the production equipment. For example, the time required for the product to complete the first production process is 30 minutes, while the second production process requires the establishment of a special production environment, which takes 1 hour. In order for the product to enter the second production process after completing the first production process, the second production equipment needs to be started and the special production environment needs to be established half an hour before the product enters the first production process (i.e., the first time difference). If the product requires 30 minutes in the first production process, and the second production process requires the establishment of a special production environment, which takes 10 minutes to establish the special production environment, the second production equipment needs to be started and the special production environment needs to be established after the product has been processed in the first production process for 20 minutes (i.e., the second time difference).
[0026] Reference Figure 2 As shown, an artificial intelligence-based equipment production optimization system is used to implement the artificial intelligence-based equipment production optimization method as described above, including: An intelligent analysis terminal is used to control each module to perform content analysis, equipment performance analysis, and time analysis on the processing tasks to be processed, and determine the start time of the equipment required for each subtask; the intelligent analysis terminal is used to control information exchange and data transmission between each module; A database system for storing a plant equipment distribution map, a plant internal layout map, production processes corresponding to tasks to be processed, and processing data for completed tasks; A task splitting module is used to determine the location of the equipment type required for the task, compare distance data, and match the task flow, and determine each subtask containing processing sequence information; The processing time determination module is configured to analyze the processing data of the completed task and each subtask containing the processing sequence information, and determine the processing time required by each subtask. The equipment adjustment time determination module is configured to analyze the processing conditions of the product in each subtask and the real-time state of the required equipment in each subtask, and determine the adjustment time of the required equipment in each subtask. The equipment start-up time determination module is configured to analyze the processing time required by each subtask and the adjustment time of the required equipment in each subtask, and determine the start-up time of the required equipment in each subtask.
[0027] Further, a storage medium is provided, which stores a computer program. When the computer program is called and run, the computer program performs the above-mentioned device production optimization method based on artificial intelligence. The storage medium can be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state disk (SSD).
[0028] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.
Claims
1. An equipment production optimization method based on artificial intelligence, characterized in that: include: Obtain each subtask containing processing sequence information, perform content analysis on each subtask containing processing sequence information based on the intelligent analysis terminal, and determine the processing time required for each subtask; Based on the intelligent analysis terminal, the equipment performance analysis of each subtask containing processing sequence information is carried out to determine the equipment adjustment time required for each subtask; Based on the intelligent analysis terminal, the processing time of each subtask and the adjustment time of the equipment required for each subtask are analyzed to determine the start time of the equipment required for each subtask.
2. The artificial intelligence-based equipment production optimization method according to claim 1, characterized in that: The steps of obtaining each subtask containing processing sequence information, performing content analysis on each subtask containing processing sequence information based on the intelligent analysis terminal, and determining the processing time required for each subtask specifically include the following steps: Based on the intelligent analysis terminal, the data of the unprocessed task list in the task list is read and processed to obtain the tasks to be processed; Based on the intelligent analysis terminal, the content of the processing task is extracted and processed to obtain the type of equipment required for the task; Based on the intelligent analysis terminal, the location of the equipment types required for the task is analyzed to obtain each subtask containing processing sequence information; Based on the intelligent analysis terminal, information matching processing is performed on the database system based on the characteristics of the task to be processed, and processing data of the completed task is obtained; wherein the completed task and the task to be processed are the same task; Based on the intelligent analysis terminal, the processing data of the completed tasks is used as the feature to predict the time of each subtask containing the processing sequence information, and the processing time required for each subtask is determined.
3. The equipment production optimization method based on artificial intelligence according to claim 2 is characterized in that: The intelligent analysis terminal is used to perform location analysis on the equipment types required for the task and obtain each subtask containing processing sequence information, specifically including the following steps: Based on the intelligent analysis terminal, the database system is read and processed to obtain the plant equipment distribution map and the internal layout map of the plant; Based on the intelligent analysis terminal, the equipment type required for the task is matched with the equipment distribution map of the plant to determine the installation location of the equipment required for the task; Based on the intelligent analysis terminal, the distance calculation and processing of the internal layout of the factory building is performed based on the installation location of the equipment required for the task, and the distance data between the equipment required for the task is determined; Based on the intelligent analysis terminal, the distance data between the equipment required for the task is compared and analyzed to determine each subtask; Based on the intelligent analysis terminal, the information of the equipment required for each subtask is read and processed to determine the function of the equipment required for the task; Based on the intelligent analysis terminal, the processing tasks are matched with the functions of the equipment required for the tasks, and each subtask containing the processing sequence information is determined.
4. The method for optimizing equipment production based on artificial intelligence according to claim 3, characterized in that: The intelligent analysis terminal is used to compare and analyze the distance data between the devices required for the task and determine each subtask, which specifically includes the following steps: Based on the intelligent analysis terminal, the database system is searched and processed based on the characteristics of the task to be processed to determine the production process corresponding to the task to be processed; Based on the intelligent analysis terminal, the production process corresponding to the processing task is analyzed to determine the distance data between the processing equipment; Based on the intelligent analysis terminal, the distance data between the equipment required for the task and the distance data between the processing equipment are judged and processed; If the distance data between the devices required for the task is greater than or equal to the distance data between the processing devices, the parts of the task corresponding to the distance data between the devices required for the task are different subtasks; If the distance data between the devices required for the task is smaller than the distance data between the processing devices, the part of the tasks corresponding to the distance data between the devices required for the task are the same subtasks.
5. The method for optimizing equipment production based on artificial intelligence according to claim 2, characterized in that: The intelligent analysis terminal is used to predict the time required for each subtask containing processing sequence information based on the processing data of the completed task, and the processing time required for each subtask is determined, which specifically includes the following steps: Based on the intelligent analysis terminal, the processing data of the completed tasks are classified and processed based on the characteristics of each subtask containing processing sequence information, and the processing data of each completed subtask is determined; Based on the intelligent analysis terminal, the processing data of completed tasks is extracted and processed to obtain the number of products processed for the completed tasks; Based on the intelligent analysis terminal, the processing data of each completed subtask is read and processed to determine the processing time of each completed subtask; Based on the intelligent analysis terminal, the processing time of each completed subtask and the number of products processed in the completed task are calculated and processed to determine the average processing time of each product in each subtask; Based on the intelligent analysis terminal, the data of the processing task is read and processed to obtain the processing quantity of the product of the processing task; Based on the intelligent analysis terminal, the processing quantity of products to be processed and the average processing time of each product in each subtask are calculated and processed to determine the processing time required for each subtask.
6. The method for optimizing equipment production based on artificial intelligence according to claim 1, characterized in that: The intelligent analysis terminal is used to analyze the equipment performance of each subtask containing the processing sequence information and determine the adjustment time of the equipment required for each subtask, which specifically includes the following steps: Based on the intelligent analysis terminal, the production process corresponding to the processing task is extracted and processed to determine the processing conditions of the product in each subtask; Based on the intelligent analysis terminal, the parameters of the equipment required for each subtask are adjusted based on the processing conditions of the products in each subtask, and the real-time status of the equipment required for each subtask is determined; Based on the intelligent analysis terminal, the processing conditions of the products in each subtask and the real-time status of the equipment required for each subtask are compared and analyzed to determine the adjustment time of the equipment required for each subtask.
7. The artificial intelligence-based equipment production optimization method according to claim 6, characterized in that: The intelligent analysis terminal is used to compare and analyze the processing conditions of the products in each subtask and the real-time status of the equipment required for each subtask, and determine the adjustment time of the equipment required for each subtask, which specifically includes the following steps: Based on the intelligent analysis terminal, the processing conditions of the products in each subtask and the real-time status of the equipment required for each subtask are judged and processed; If the real-time status of the equipment required in each subtask meets the processing conditions of the product in each subtask, record the status change time of the equipment required in each subtask, and set the status change time of the equipment required in each subtask as the adjustment time of the equipment required in each subtask; If the real-time status of the equipment required in each subtask does not meet the processing conditions of the product in each subtask, continue to record the real-time status of the equipment required in each subtask and compare it with the processing conditions of the product in each subtask. When the real-time status of the equipment required in each subtask meets the processing conditions of the product in each subtask, record the status change duration of the equipment required in each subtask and set the status change duration of the equipment required in each subtask as the adjustment time of the equipment required in each subtask.
8. The artificial intelligence-based equipment production optimization method according to claim 1, characterized in that: The intelligent analysis terminal is used to analyze the processing time of each subtask and the adjustment time of the equipment required for each subtask, and determine the start time of the equipment required for each subtask, which specifically includes the following steps: Based on the intelligent analysis terminal, information extraction and processing is performed on each subtask containing processing sequence information and the processing time required for each subtask, and the first processing subtask and the processing time required for the first processing subtask are determined; Based on the intelligent analysis terminal, the adjustment time of the equipment required for each subtask is extracted and processed to obtain the adjustment time of the equipment required for the second processing subtask; Based on the intelligent analysis terminal, the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask are analyzed and processed to determine the start time of the equipment required for the second processing subtask; Based on the intelligent analysis terminal, the adjustment time of the equipment required in the subsequent subtasks is analyzed according to the determination method of the start-up time of the equipment required in the second processing subtask, and the start-up time of the equipment required in each subtask is determined.
9. The artificial intelligence-based equipment production optimization method according to claim 8, characterized in that: The intelligent analysis terminal performs time analysis on the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine the start time of the equipment required for the second processing subtask, specifically including the following steps: Based on the intelligent analysis terminal, the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask are judged and processed; If the adjustment time of the equipment required in the second processing subtask is greater than the processing time required for the first processing subtask; Based on the intelligent analysis terminal, a difference is calculated between the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine a first time difference; Based on the intelligent analysis terminal, the data of the processing tasks to be processed is extracted and processed to determine the start time of the processing tasks; Based on the intelligent analysis terminal, the first time difference and the start time of the task to be processed are calculated and processed to determine the start time of the equipment required for the second processing subtask; If the adjustment time of the equipment required in the second processing subtask is equal to the processing time required for the first processing subtask, the start time of the task to be processed is set to the start time of the equipment required in the second processing subtask; If the adjustment time of the equipment required in the second processing subtask is less than the processing time required for the first processing subtask; Based on the intelligent analysis terminal, a difference is calculated between the adjustment time of the equipment required for the second processing subtask and the processing time required for the first processing subtask to determine a second time difference; Based on the intelligent analysis terminal, the second time difference and the start time of the task to be processed are calculated and processed to determine the start time of the equipment required in the second processing subtask.
10. An artificial intelligence-based equipment production optimization system, used to implement an artificial intelligence-based equipment production optimization method according to any one of claims 1 to 9, characterized in that: include: An intelligent analysis terminal is used to control each module to perform content analysis, equipment performance analysis, and time analysis on the processing task to be processed, and determine the start time of the equipment required for each subtask; the intelligent analysis terminal is used to control information exchange and data transmission between each module; A database system for storing a plant equipment distribution map, a plant internal layout map, production processes corresponding to tasks to be processed, and processing data for completed tasks; A task splitting module is used to determine the location of the equipment type required for the task, compare distance data, and match the task flow, and determine each subtask containing processing sequence information; A processing time determination module, which is used to calculate and analyze the processing data of the completed task and each subtask containing processing sequence information to determine the processing time required for each subtask; An equipment adjustment time determination module is used to compare and analyze the processing conditions of the product in each subtask and the real-time status of the equipment required for each subtask, and determine the adjustment time of the equipment required for each subtask; The equipment start-up time determination module is used to perform time analysis on the processing time required for each subtask and the adjustment time of the equipment required in each subtask, and determine the start-up time of the equipment required in each subtask.