Food production management method, device, equipment and medium
By obtaining historical production information and employee information, formulating production management strategies and generating early warning information, the problem of low management efficiency in the food production industry is solved, the accuracy of monitoring data and the accuracy of abnormal judgments are improved, and efficient production management is achieved.
Patent Information
- Application Number
- CN202411212527.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-30
- Publication Date
- 2024-12-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the food production industry, especially the sauce-based meat products industry, the existing technology cannot effectively improve the efficiency of production management, resulting in the inability to detect abnormal situations in a timely manner, low management efficiency, and unable to meet the needs of safe and efficient production.
By obtaining historical production information and employee information, formulating production management strategies, obtaining monitoring data, determining abnormal information and generating early warning information, the efficiency of strategy formulation and the accuracy of monitoring data are improved, and abnormalities are adjusted in a timely manner, and the efficiency of production management is improved.
Through historical production information, reasonable production management strategies are formulated, the availability of monitoring data and the accuracy of abnormal judgments are improved, and the efficient operation of production management is achieved, and the needs of safe and efficient production are met.
Smart Images
Figure CN119106878A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of food production, and in particular to a food production management method, device, equipment and medium. Background Art
[0002] In the food production industry, especially the sauced meat products industry, ensuring product quality and safety is crucial. However, with the expansion of production scale and the complexity of process flow, the requirements for production management are becoming higher and higher.
[0003] The current production management process is usually completed by a large number of manual workers. This manual management method not only consumes a lot of manpower, but also due to the limitation of staff energy, it is usually unable to detect abnormal situations in time. The management efficiency is low and cannot meet the needs of safe and efficient production. Summary of the invention
[0004] In order to improve the efficiency of production management, the present application provides a food production management method, device, equipment and medium.
[0005] In the first aspect, the present application provides a food production management method, which adopts the following technical solution: A food production management method, comprising: Obtain historical production information and employee information; determining a production management strategy based on the historical production information; Acquiring monitoring data based on the production management strategy; Determining abnormal information based on the monitoring data and the employee information; Generate warning information based on the abnormal information.
[0006] By adopting the above technical solution, production management strategies are formulated based on historical production information, which improves the efficiency and rationality of strategy formulation. Monitoring data is obtained through production management strategies, which improves the accuracy and availability of monitoring data. Abnormal information is determined through monitoring data and employee information, and early warning information is generated based on the abnormal information, which enables staff to make abnormal adjustments in a timely manner, thereby improving the efficiency of production management.
[0007] Optionally, determining a production management strategy based on the historical production information includes: determining a production process based on the historical production information; Determine equipment information and employee information based on the production process; A production management strategy is determined based on the production process, the equipment information, and the employee information.
[0008] By adopting the above technical solution, different production processes are monitored for abnormalities through different monitoring data, and the production management strategy is determined based on the production process, the equipment information corresponding to the production process, and the employee information, so that more reasonable monitoring data can be obtained according to the production management strategy, which improves the accuracy of abnormal judgment and thus improves production management efficiency.
[0009] Optionally, determining a production management strategy based on the production process, the equipment information, and the employee information includes: Acquire a cleaning cycle based on the device information; Determining an employee category based on the production process and the employee information; determining a cleaning category based on the employee category; Determining manufacturing conditions based on the production process; A production management strategy is determined based on the cleaning category, the cleaning cycle, and the manufacturing conditions.
[0010] By adopting the above technical solution, when determining the production management strategy, the cleaning cycle of the equipment, the cleaning category of the employees and the production conditions of the products are fully considered, thereby improving the reliability of the production management strategy.
[0011] Optionally, the historical production information includes historical manufacturing information and historical order information, and determining the production management strategy based on the historical production information includes: Dividing the historical order information according to product categories to obtain multiple order combinations; Analyze the order combination to obtain estimated demand information; Determine production demand information based on the estimated demand information and inventory information; Determining procurement information based on the production demand information and the first preset association; A production management strategy is determined based on the production demand information, the procurement information, and the estimated demand information.
[0012] By adopting the above technical solution, the production management strategy also includes production demand information, procurement information and estimated demand information, which improves the richness of the production management strategy. Production management is carried out according to the production management strategy, which improves the production management efficiency.
[0013] Optionally, determining the production demand information based on the estimated demand information and inventory information includes: Determine product production demand based on the estimated demand information and inventory information; Determine module production requirements based on the product production requirements and a second preset association; Determine the latest production time based on the module production demand and the module production time; Production requirement information is determined based on the latest production time and the module production requirement.
[0014] By adopting the above technical solution, the production demand information includes not only the demand quantity but also the latest production time, which means that there is no need to manually plan the production time, thereby improving the efficiency of production management.
[0015] Optionally, acquiring monitoring data based on the production management strategy includes: Determine monitoring items for each process step based on the production management strategy; Determine the monitoring method and monitoring location based on the monitoring items; Monitoring data is acquired based on the monitoring method and the monitoring location.
[0016] By adopting the above technical solution, the monitoring items of each process step are determined according to the production management strategy, thereby determining the monitoring data of each process step, thereby improving the rationality of the monitoring data.
[0017] Optionally, the determining the abnormal information based on the monitoring data and the employee information includes: If the monitoring data is not video data, determining standard data based on the monitoring data and production information; Determine a first abnormal situation based on the standard data and the monitoring data; If the monitoring data is video data, identifying the video data to obtain a second abnormal situation; Abnormal information is determined based on the employee information, the first abnormal situation, and the second abnormal situation.
[0018] In a second aspect, the present application provides a food production management device, which adopts the following technical solution: A food production management device, comprising: Information acquisition module, used to obtain historical production information and employee information; A strategy determination module, used to determine a production management strategy based on the historical production information; A data acquisition module, used to acquire monitoring data based on the production management strategy; An abnormality determination module, used to determine abnormal information based on the monitoring data and the employee information; The warning generation module is used to generate warning information based on the abnormal information.
[0019] By adopting the above technical solution, production management strategies are formulated based on historical production information, which improves the efficiency and rationality of strategy formulation. Monitoring data is obtained through production management strategies, which improves the accuracy and availability of monitoring data. Abnormal information is determined through monitoring data and employee information, and early warning information is generated based on the abnormal information, which enables staff to make abnormal adjustments in a timely manner, thereby improving the efficiency of production management.
[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device comprises a processor, wherein the processor is coupled to a memory; The memory stores a computer program that can be loaded by the processor and execute the food production management method described in any one of the first aspects.
[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing a computer program that can be loaded by a processor and execute the food production management method described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a flow chart of a food production management method provided in an embodiment of the present application.
[0023] Figure 2 It is a structural block diagram of a food production management device provided in an embodiment of the present application.
[0024] Figure 3 It is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0025] The present application is further described in detail below in conjunction with the accompanying drawings.
[0026] The embodiment of the present application provides a food production management method, which can be executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.
[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0028] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.
[0029] like Figure 1 As shown, a food production management method, the main process of the method is described as follows (steps S101 to S105): Step S101: Obtain historical production information and employee information.
[0030] Obtain historical production information from staff or database, where the historical production information includes but is not limited to historical manufacturing information and historical order information, and obtain employee information from the database.
[0031] Step S102: Determine a production management strategy based on historical production information.
[0032] Specifically, determining the production management strategy based on the historical production information includes: determining the production process based on the historical production information; determining the equipment information and the employee information based on the production process; and determining the production management strategy based on the production process, the equipment information and the employee information.
[0033] In this embodiment, the production process of each product is searched from historical manufacturing information. The production process includes multiple process steps. The equipment information and employee information corresponding to each process step are obtained from the database, and the production management strategy is determined based on the production process, equipment information and employee information.
[0034] Furthermore, production management strategies are determined based on production processes, equipment information, and employee information, including: obtaining cleaning cycles based on equipment information; determining employee categories based on production processes and employee information; determining cleaning categories based on employee categories; determining production conditions based on production processes; and determining production management strategies based on cleaning categories, cleaning cycles, and production conditions.
[0035] In this embodiment, the equipment needs to be cleaned and disinfected during the food production process. The cleaning cycle of each piece of equipment is obtained from the database. The employee category of each employee is determined based on the process steps in the production process and the employee information corresponding to the process steps. Employee categories such as pickling category and baking category correspond to different cleaning categories. The corresponding cleaning category is obtained from the database through the employee category. The production conditions corresponding to each process step, such as temperature and time, are obtained from the database according to the production process. The production management strategy includes production management according to cleaning category, cleaning cycle and production conditions.
[0036] Specifically, determining a production management strategy based on historical production information includes: dividing historical order information according to product categories to obtain multiple order combinations; analyzing the order combinations to obtain estimated demand information; determining production demand information based on the estimated demand information and inventory information; determining procurement information based on the production demand information and a first preset association; and determining a production management strategy based on the production demand information, procurement information, and estimated demand information.
[0037] Historical order information includes historical demand quantity. In this embodiment, historical order information is divided according to product category to obtain multiple order combinations, each order combination corresponds to a product category, and the order combination is analyzed by a data analysis tool to obtain estimated demand information, wherein the data analysis tool can be Excel, Python, or SQL, and is not specifically limited here. The estimated demand information includes product categories and predicted daily demand quantities for each product category. The data analysis tool can use the average of the historical demand quantities for each date as the predicted demand quantity, or can use the mode of the historical demand quantities for each date as the predicted demand quantity; the method for obtaining the estimated demand information can also be: constructing a demand forecasting model through a machine learning algorithm, training the demand forecasting model through historical order information and market trends, and inputting the current market trends and dates into the trained demand forecasting model to obtain the estimated demand information.
[0038] The inventory information is obtained from the database, and the predicted demand quantity in the expected demand information is subtracted from the inventory quantity in the inventory information to obtain the number of products to be produced. The number of products to be produced and the corresponding product category are determined as the production demand information. The first preset association includes the correspondence between each product category and the raw material category, and the correspondence between the product quantity of each product category and the raw material quantity. The procurement information includes the raw material category and the raw material quantity. The first preset association is obtained from the database. The raw material category and the raw material quantity, that is, the procurement information, are determined according to the production demand information and the first preset association. The production management strategy includes purchasing raw materials according to the procurement information, and producing according to the production demand information and the expected demand information.
[0039] Specifically, production demand information is determined based on expected demand information and inventory information, including: determining product production demand based on expected demand information and inventory information; determining module production demand based on product production demand and a second preset association; determining the latest production time based on module production demand and module production duration; and determining production demand information based on the latest production time and module production demand.
[0040] In this embodiment, the predicted demand quantity in the estimated demand information is subtracted from the inventory quantity in the inventory information to obtain the number of products to be produced, that is, the product production demand. The production process includes multiple modules (that is, process steps), such as pickling, baking, etc. Each module will obtain a finished product or a semi-finished product. The second preset association is the correspondence between the product quantity (the final finished product quantity) and the finished product or semi-finished product quantity of each module. The second preset association is obtained from the database. The production demand (that is, the number of finished products or semi-finished products) of each module is obtained according to the product quantity corresponding to the product production demand and the second preset association. The time required for each module to obtain the finished product or semi-finished product is different. For example, pickling takes a long time. The module corresponding to the module production demand is obtained from the database. The time required for production, that is, the module production time, is obtained by subtracting the module production time of the subsequent modules of the module from the demand time corresponding to the predicted demand information to obtain the latest production time of each module. For example, the production process is module A → module B → module C, and module C obtains the final finished product. The demand time corresponding to the demand forecast information is 2024.6.30, the module production time of module C is 1 day, the module production time of module B is 2 days, and the module production time of module A is 3 days. Then, the latest production time of module C is 2024.6.29, the latest production time of module B is 2024.6.27, and the latest production time of module A is 2024.6.24. The production demand information includes the number of finished products or semi-finished products of each module and the latest production time.
[0041] Step S103: Acquire monitoring data based on the production management strategy.
[0042] Specifically, obtaining monitoring data based on the production management strategy includes: determining monitoring items for each process step based on the production management strategy; determining a monitoring method and a monitoring location based on the monitoring items; and obtaining monitoring data based on the monitoring method and the monitoring location.
[0043] In this embodiment, different process steps correspond to different monitoring items, such as temperature, video, etc. The items corresponding to the production conditions in the production management strategy are determined as the monitoring items of each process step, and the monitoring method is obtained according to the correspondence between the monitoring items and the monitoring methods. For example, if the monitoring item is temperature monitoring, the monitoring method is to obtain temperature data from the temperature sensor for monitoring, and the production position of the process step corresponding to the monitoring item is determined as the monitoring position, and the monitoring data is obtained from the monitoring position according to the monitoring method.
[0044] Step S104: determine abnormal information based on the monitoring data and employee information.
[0045] Specifically, abnormal information is determined based on monitoring data and employee information, including: if the monitoring data is not video data, standard data is determined based on the monitoring data and production information; a first abnormal situation is determined based on the standard data and the monitoring data; if the monitoring data is video data, the video data is identified to obtain a second abnormal situation; abnormal information is determined based on the employee information, the first abnormal situation and the second abnormal situation.
[0046] In this embodiment, if the monitoring data is not video data, the current production information is obtained from the staff, and the production information includes the production stage. Different production stages correspond to different standard data. For example, when baking, different baking times (i.e., different production stages) require different temperatures. The corresponding standard data is obtained from the database based on the items corresponding to the monitoring data and the production information, and the standard data is compared with the monitoring data. If there is monitoring data that does not meet the standard data, the monitoring data that does not meet the standard data is determined as abnormal monitoring data. The first abnormal situation includes abnormal monitoring data and corresponding standard data, otherwise the first abnormal situation is that there is no abnormality; if the monitoring data is video data, the video data is identified by a preset image recognition model to obtain a second abnormal situation. The second abnormal situation is, for example, an employee fails to wear sanitary equipment as required. According to the first abnormal situation and the second abnormal situation, the corresponding employee is searched, that is, an abnormal employee. The abnormal employee is, for example, an employee who fails to wear sanitary equipment as required, a management employee corresponding to the abnormal monitoring data, etc. The employee information corresponding to the abnormal employee, the first abnormal situation, and the second abnormal situation are determined as abnormal information.
[0047] Step S105: Generate warning information based on the abnormal information.
[0048] The abnormal information, abnormal time and corresponding products are determined as warning information, and the warning information is sent to the corresponding personnel so that the corresponding personnel can adjust the abnormality in time.
[0049] Figure 2 This is a structural block diagram of a food production management device 200 provided in an embodiment of the present application.
[0050] like Figure 2 As shown, the food production management device 200 mainly includes: Information acquisition module 201, used to acquire historical production information and employee information; A strategy determination module 202, for determining a production management strategy based on historical production information; A data acquisition module 203, used to acquire monitoring data based on production management strategies; An abnormality determination module 204, used to determine abnormal information based on monitoring data and employee information; The warning generation module 205 is used to generate warning information based on the abnormal information.
[0051] As an optional implementation of this embodiment, the strategy determination module 202 is also specifically used to determine the production management strategy based on historical production information, including: determining the production process based on historical production information; determining equipment information and employee information based on the production process; determining the production management strategy based on the production process, equipment information and employee information.
[0052] As an optional implementation of this embodiment, the policy determination module 202 is also specifically used to determine the production management policy based on the production process, equipment information and employee information, including: obtaining the cleaning cycle based on the equipment information; determining the employee category based on the production process and employee information; determining the cleaning category based on the employee category; determining the production conditions based on the production process; determining the production management policy based on the cleaning category, cleaning cycle and production conditions.
[0053] As an optional implementation of this embodiment, historical production information includes historical manufacturing information and historical order information, and the strategy determination module 202 is also specifically used to determine the production management strategy based on the historical production information, including: dividing the historical order information according to product categories to obtain multiple order combinations; analyzing the order combinations to obtain estimated demand information; determining the production demand information based on the estimated demand information and inventory information; determining the procurement information based on the production demand information and the first preset association; determining the production management strategy based on the production demand information, procurement information and estimated demand information.
[0054] As an optional implementation of this embodiment, the strategy determination module 202 is also specifically used to determine production demand information based on the expected demand information and inventory information, including: determining product production demand based on the expected demand information and inventory information; determining module production demand based on product production demand and a second preset association; determining the latest production time based on module production demand and module production duration; determining production demand information based on the latest production time and module production demand.
[0055] As an optional implementation of this embodiment, the data acquisition module 203 is also specifically used to acquire monitoring data based on the production management strategy, including: determining the monitoring items of each process step based on the production management strategy; determining the monitoring method and monitoring location based on the monitoring items; and acquiring monitoring data based on the monitoring method and monitoring location.
[0056] As an optional implementation of this embodiment, the abnormality determination module 204 is also specifically used to determine abnormal information based on monitoring data and employee information, including: if the monitoring data is not video data, determining standard data based on the monitoring data and production information; determining a first abnormal situation based on the standard data and the monitoring data; if the monitoring data is video data, identifying the video data to obtain a second abnormal situation; determining abnormal information based on employee information, the first abnormal situation and the second abnormal situation.
[0057] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.
[0058] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).
[0059] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0060] Figure 3 A structural block diagram of an electronic device 300 provided in an embodiment of the present application.
[0061] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more of a communication component 304 , and a communication bus 305 .
[0062] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-mentioned food production management method; the memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method used to operate on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0063] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.
[0064] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the food production management method given in the above embodiment.
[0065] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.
[0066] The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.
[0067] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned food production management method are implemented.
[0068] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.
[0069] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.
[0070] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.
Claims
1. A food production management method, characterized in that: include: Obtain historical production information and employee information; determining a production management strategy based on the historical production information; acquiring monitoring data based on the production management strategy; determining abnormal information based on the monitoring data and the employee information; Generate warning information based on the abnormal information.
2. The method according to claim 1, characterized in that The determining of the production management strategy based on the historical production information includes: determining a production process based on the historical production information; Determining equipment information and employee information based on the production process; A production management strategy is determined based on the production process, the equipment information, and the employee information.
3. The method according to claim 2, characterized in that The determining of a production management strategy based on the production process, the equipment information, and the employee information includes: obtaining a cleaning cycle based on the device information; determining an employee category based on the production process and the employee information; determining a cleaning category based on the employee category; Determining production conditions based on the production process; A production management strategy is determined based on the cleaning category, the cleaning cycle, and the manufacturing conditions.
4. The method according to claim 1, wherein The historical production information includes historical manufacturing information and historical order information. The determining of the production management strategy based on the historical production information includes: Dividing the historical order information according to product categories to obtain multiple order combinations; Analyzing the order combination to obtain estimated demand information; determining production demand information based on the estimated demand information and inventory information; Determining procurement information based on the production demand information and the first preset association; A production management strategy is determined based on the production demand information, the procurement information, and the estimated demand information.
5. The method according to claim 4, characterized in that The determining of production demand information based on the estimated demand information and inventory information includes: Determining product production requirements based on the projected demand information and inventory information; Determining module production requirements based on the product production requirements and a second preset association; Determine the latest production time based on the module production requirements and the module production time; Production requirement information is determined based on the latest production time and the module production requirement.
6. The method according to claim 1, characterized in that The acquiring of monitoring data based on the production management strategy includes: Determine monitoring items for each process step based on the production management strategy; Determining a monitoring method and a monitoring location based on the monitoring items; Monitoring data is acquired based on the monitoring method and the monitoring location.
7. The method according to claim 1, characterized in that The determining of abnormal information based on the monitoring data and the employee information includes: If the monitoring data is not video data, determining standard data based on the monitoring data and production information; determining a first abnormal condition based on the standard data and the monitoring data; If the monitoring data is video data, identifying the video data to obtain a second abnormal condition; Abnormal information is determined based on the employee information, the first abnormal situation, and the second abnormal situation.
8. A food production management device, characterized in that: include: Information acquisition module, used to obtain historical production information and employee information; A strategy determination module, configured to determine a production management strategy based on the historical production information; A data acquisition module, configured to acquire monitoring data based on the production management strategy; an abnormality determination module, configured to determine abnormal information based on the monitoring data and the employee information; The warning generation module is used to generate warning information based on the abnormal information.
9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute the computer program stored in the memory, so that the electronic device performs the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.