Factory production information management method

Abstract

The invention provides a factory production information management method, and relates to the technical field of computer processing, and the method comprises the following steps: S01, loading a preset data template, and carrying out data filling through a running APP; s02, according to the selected type of the data template, determining a data monitoring regulation, and generating a temporary sub-service chain for the service of the data template; s03, according to the determined temporary sub-service chain, enabling a role corresponding to the temporary sub-service chain to obtain consulting, editing, verifying and approving permissions of the data template; and S04, performing subtraction on the edited data and the verified data to obtain a difference value, inputting the difference value into a risk management model to execute judgment, and performing early warning and feedback based on the judgment. The real-time data acquisition, analysis, transmission and visualization technology is combined, the whole process optimization from production data acquisition to decision support is realized, the production efficiency, the resource utilization rate and the product quality are improved, and meanwhile, the management cost and the production risk are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of computer processing, and particularly to a method for managing factory production information. Background Art

[0002] The production information of the assembly line in factory production is all recorded manually by multiple workers, and then manually summarized, analyzed, and used to regulate and optimize production equipment, and then manually recorded, summarized, analyzed, and verified again.

[0003] However, there are several problems with manual recording, including large errors, time-consuming manual statistics, communicating the analysis results to the production line to modify equipment parameters and then producing again, manually recording the effects after modification, the entire process being time-consuming and laborious, slow response speed, increased consumables, and difficult statistics. Summary of the Invention

[0004] In view of the above technical problems, the technical solution adopted by the present invention is a method for managing factory production information, which solves the problems of slow response in the production process of the factory production line, lag in data statistics and management, and lack of refinement in quality management.

[0005] The present invention aims to provide a method for managing factory production information, including the following steps: S01. Load a preset data template and fill in data through a running APP; S02. Determine data guardianship regulations according to the selected type of the data template, and generate a temporary sub-business chain for the business corresponding to the data template; S03. According to the determined temporary sub-business chain, enable the corresponding role to obtain the permissions to view, edit, verify, and approve the data template; S04. Calculate the difference between the edited and verified data to obtain a difference value, input the difference value into a risk management model for judgment, and give an early warning and feedback based on the judgment.

[0006] Preferably, the running APP can be located on mobile devices and fixed devices with a fixed IP address, and the server of the APP is located on the Alibaba Cloud platform.

[0007] Preferably, it further includes a hot and cold data separation storage module implemented by MySQL and Redis, which is used to store the operation steps and data replacement of the above steps S01 to S04, and each stored data is marked with a corresponding role through a timestamp.

[0008] Preferably, the data template is multiple pre-set business templates, and corresponding temporary sub-business chains are set for the corresponding business templates.

[0009] Preferably, the communication protocol of the running APP includes, but is not limited to, serial communication, TCP / IP protocol, or wireless communication protocol.

[0010] Preferably, it further includes step S05, in which the values input to the data template in steps S01 to S03 will automatically generate trend charts and statistical reports through ECharts and be updated to the APP user interface in real time.

[0011] Preferably, the execution of the risk management model in step S04 includes: Obtain the difference value, and when the difference value is negative and greater than the threshold, it means that there is a data error in the basic stage of this business corresponding to the data template; Obtain the difference value, and when the difference value is positive and greater than the threshold, it means that there are data errors in the basic stage and the upper stage of this business corresponding to the data template; The threshold is taken as 2.

[0012] Preferably, the method further includes a newly generated data template, which includes: S51. Trigger a new case from the general account, automatically jump to the cloud link, and generate a cloud excel form; S52. The generated excel form is automatically loaded into the blank template; S53. After completing the template production, create a temporary sub-business chain corresponding to the template and update it to the library of the data template; The APP includes a general account and sub-accounts of the roles on multiple temporary sub-business chains created with the general account as the canopy relationship.

[0013] The present invention has at least the following beneficial effects: 1. Through the optimized communication protocol and hardware design, it ensures the efficient transmission and accurate collection of production data, improving the real-time performance and reliability of the data.

[0014] 2. Based on real-time analysis and automated scheduling, it realizes the reasonable allocation and efficient utilization of resources, significantly reducing resource waste.

[0015] 3. Through the data visualization and anomaly warning functions, it improves the transparency and response speed of production monitoring, helping to detect and solve problems in a timely manner.

[0016] 4. Combining automated detection and big data analysis, it can quickly locate the source of quality problems, optimize the production process, and improve product quality and production efficiency.

[0017] 5. A complete data flow closed-loop is established, realizing the full-process tracking of production data and intelligent decision-making support, and improving the overall operation efficiency and management level of the factory. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 Flowchart of a factory production information management method provided by the present invention; Figure 2 Organization chart of a factory production information management method provided by the present invention. Detailed Embodiments

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server including a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0022] Embodiment 1

[0023] As Figure 1-2 shown, a factory production information management method includes the following steps: S01. Load a preset data template and fill in data through the running APP; S02. Determine the data guardianship regulations according to the type of the selected data template, and generate a temporary sub-business chain for the business of the data template; S03. Determine the temporary sub-business chain, and enable the corresponding roles to obtain the permissions to view, edit, verify, and approve the data template; S04. Calculate the difference between the edited and verified data to obtain a difference value, then input the difference value into the risk management model for judgment, and give feedback based on the judgment by issuing a warning.

[0024] In the above technology, the operator can quickly and accurately fill in production information through the APP on the mobile device or fixed device, avoiding the errors and time consumption of manual records. According to the type of data template, the corresponding data guardianship regulations are automatically matched to ensure the security and accuracy of the data. At the same time, a temporary sub-business chain for the business corresponding to the data template is generated, providing a clear path for subsequent viewing, editing, verification, and approval processes. Then, according to the temporary sub-business chain, the relevant roles are assigned the permissions to view, edit, verify, and approve the data template, ensuring the flow of information among the correct roles and improving management efficiency. Finally, the difference value is calculated for the edited and verified data and input into the risk management model for judgment. When the difference value exceeds the preset threshold, a warning feedback is automatically triggered to timely detect and correct data errors and reduce production errors.

[0025] The automated data filling and verification processes greatly reduce the errors caused by manual records and improve the accuracy of the data. Through the preset data template and temporary sub-business chain, the information flow path is simplified and the processing time is shortened. The real-time warning function of the risk management model enables the timely discovery and handling of abnormal situations in production, improving the response speed. It can greatly reduce the consumables and time costs required for manual records and summaries, and reduce the production cost. This system enables all production information to be stored and managed in a digital manner, facilitating subsequent statistical and analysis work.

[0026] Furthermore, the running APP can be located on mobile devices and fixed devices with a fixed IP address, and the APP server is located on the Alibaba Cloud platform. The APP server located on the Alibaba Cloud platform supports multiple communication methods such as serial communication, TCP / IP protocol, or wireless communication protocol. The stability and scalability of the Alibaba Cloud platform ensure the efficient operation of the APP server and the security of the data. The support of multiple communication protocols enables the efficient transmission of data in different device and network environments. It improves the data transmission efficiency and security and supports cross-device and cross-network collaboration.

[0027] Secondly, it also includes a hot and cold data separation storage module implemented through MySQL and Redis, which is used to store the operation steps and data replacement of the above steps S01 to S04, and each stored data is marked with a corresponding role through a timestamp. In the above embodiment, hot data is stored through MySQL and cold data is stored through Redis to achieve the separation of hot and cold data. Each data is accompanied by a timestamp and a role identifier. Hot data refers to data that is frequently accessed, and cold data refers to data that is less frequently accessed. MySQL is suitable for processing structured data and high-concurrency access, and Redis is suitable for processing caches and high-speed access. The timestamp and role identifier are used for data tracking and analysis. Thereby, the data access speed is improved, the storage cost is reduced, and subsequent data tracking and analysis are facilitated.

[0028] It should be noted that the data templates are multiple pre-set business templates, and the corresponding business templates are provided with corresponding temporary sub-business chains. There are multiple business templates, and each template corresponds to a specific business process and generates a corresponding temporary sub-business chain. The business templates in the above embodiment are designed according to the actual needs of factory production, ensuring the pertinence and practicality of the data. The temporary sub-business chain is automatically generated according to the business process, providing clear process guidance for data viewing, editing, verification, and approval.

[0029] The communication protocol of the running APP includes, but is not limited to, serial communication, TCP / IP protocol, or wireless communication protocol.

[0030] Furthermore, it also includes step S05, in which the values input into the data template in steps S01 to S03 will automatically generate trend charts and statistical reports through ECharts and be updated to the APP user interface in real time. In the above embodiment, the values of the input data template automatically generate trend charts and statistical reports through ECharts and are updated to the APP user interface in real time. And the above ECharts is an open-source data visualization library that supports various chart types and interaction methods. Through the data binding and dynamic update mechanism, the automatic generation and real-time update of the charts are realized. Thereby, the degree of data visualization is improved, facilitating managers to quickly understand the production status and make decisions.

[0031] Secondly, the execution of the risk management model in step S04 includes: Obtain the difference value, and when the difference value is negative and greater than the threshold, it means that there is a data error in the basic stage of this business of the corresponding data template; Obtain the difference value, and when the difference value is positive and greater than the threshold, it means that there are data errors in the basic stage and the upper stage of this business of the corresponding data template; The threshold is taken as 2.

[0032] In the above technology, the risk management model determines the type of data error based on the difference value and triggers an early warning feedback. When the difference value is negative and greater than the threshold, it indicates a data error in the basic stage; when the difference value is positive and greater than the threshold, it indicates data errors in both the basic stage and the upper stage.

[0033] The risk management model calculates and analyzes the difference value of the input data through preset rules and algorithms. According to the magnitude and sign of the difference value, it determines the type and degree of data error. This embodiment improves the speed of discovering and correcting data errors and reduces potential risks in production.

[0034] Furthermore, the method also includes a new data template, which includes: S51. Trigger a new case by the general account, automatically jump to the cloud link, and generate a cloud Excel table; S52. The generated Excel table is automatically loaded into the blank template; S53. After completing the template production, create a temporary sub-business chain corresponding to the template and update it to the data template library; The APP includes a general account and sub-accounts of roles on multiple temporary sub-business chains created with the general account to form a canopy relationship.

[0035] In the above embodiment, a new case is triggered by the general account, automatically jump to the cloud link to generate an Excel table, load the blank template and fill it out, then create the corresponding temporary sub-business chain and update it to the data template library. The new data template process realizes the complete process from case triggering to template generation, filling, approval, and storage through automated means. The support of the cloud link and Excel table makes template creation more convenient and efficient. The above technology improves the flexibility and efficiency of data template creation and supports the rapid response and management of new business scenarios.

[0036] In summary, the user first loads a variety of business data templates preset by the system, which cover all aspects of factory production. Subsequently, the user fills in data through the APP installed on the mobile device or the device with a fixed IP address. The server of this APP is deployed on the Alibaba Cloud platform, ensuring the security and stability of the data. The system automatically determines the corresponding data guardianship regulations according to the type of data template selected by the user, and these regulations are designed to ensure the accuracy and integrity of the data. At the same time, the system generates a temporary sub-business chain for the business corresponding to the data template, laying a foundation for subsequent role permission allocation and data processing. According to the determined temporary sub-business chain, the system assigns viewing, editing, verification, and approval permissions to the corresponding roles, ensuring that each role can operate within its scope of responsibility.

[0037] Furthermore, the system performs a difference operation on the edited and verified data to obtain a difference value, and inputs this difference value into a risk management model for judgment. The risk management model determines whether there are errors in the data based on the sign and magnitude of the difference value, and triggers the corresponding warning mechanism for feedback. Specifically, when the difference value is negative and greater than a threshold value (such as 2), it is considered that the data in the basic stage is incorrect; when the difference value is positive and greater than the threshold value, it is considered that there are data errors in both the basic stage and the upper stage.

[0038] Moreover, based on the data input in steps S01 to S03, the system automatically generates trend charts and statistical reports through ECharts. These charts and reports can intuitively display the change trends and statistical results of the data. And the system updates these charts and reports to the APP user interface in real time, enabling users to keep abreast of the latest production data at any time.

[0039] Those of ordinary skill in the art can understand that all or part of the processes of implementing the above method embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to the memory, storage, database, or other media used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0040] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0041] Embodiment 2

[0042] An embodiment of the present invention provides an electronic device, including a processor and a memory. At least one instruction or at least one program segment is stored in the memory, and the at least one instruction or the at least one program segment is loaded and executed by the processor to implement the steps: S01. Load a preset data template and fill in data through a running APP; S02. Determine data guardianship regulations according to the type of the selected data template, and generate a temporary sub-business chain for the business of the data template; S03. According to the determined temporary sub-business chain, enable the corresponding role to obtain the permissions of viewing, editing, verifying, and approving the data template; S04. Subtract the edited and verified data to obtain a difference value, then input the difference value into a risk management model to perform a judgment, and give a warning and feedback based on the judgment.

[0043] In summary, the above technology ensures the efficient transmission and accurate collection of production data through optimized communication protocols and hardware designs, improving the timeliness and reliability of data. Moreover, based on real-time analysis and automated scheduling, it realizes the reasonable allocation and efficient utilization of resources, significantly reducing resource waste. Additionally, through data visualization and anomaly warning functions, it enhances the transparency and response speed of production monitoring, helping to promptly discover and solve problems. Furthermore, combined with automated detection and big data analysis, it can quickly locate the source of quality problems, optimize the production process, and improve product quality and production efficiency. By establishing a complete data flow closed-loop, it realizes the full-process tracking of production data and intelligent decision-making support, enhancing the overall operation efficiency and management level of the factory.

[0044] The above are only preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the above-disclosed technical content to be equivalent embodiments within the scope of the technical solution of the present invention. However, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A factory production information management method, characterized in that: The following steps are involved: S01. Load the preset data template and fill in the data through the running APP; S02, determining data guardianship regulations according to the selected type of the data template, and generating a temporary sub-business chain for the business of the data template; S03, according to the determined temporary sub-business chain, enabling the corresponding role to obtain the authority to view, edit, verify and approve the data template; S04. Subtract the edited data from the validation data to obtain a difference value, then input the difference value into a risk management model to perform a judgment, and issue an early warning and provide feedback based on the judgment.

2. A factory production information management method according to claim 1, characterized in that: The running APP can be located on a mobile device or a fixed device with a fixed IP address, while the APP server is located on the Alibaba Cloud platform.

3. A factory production information management method according to claim 1, characterized in that: It also includes a cold and hot data separation storage module implemented by MySQL and Redis, which is used to store the operation steps of the above steps S01 to S04 and data changes, and each stored data is timestamped and identified with the corresponding role.

4. A factory production information management method according to claim 1, characterized in that: The data templates are multiple business templates preset in advance, and the corresponding business templates are provided with corresponding temporary sub-business chains.

5. A factory production information management method according to claim 1, characterized in that: The communication protocol of the running APP includes but is not limited to serial communication, TCP / IP protocol or wireless communication protocol.

6. A factory production information management method according to claim 1, characterized in that: The method further includes step S05, which automatically generates trend charts and statistical reports through ECharts according to the values ​​input into the data template in steps S01 to S03, and updates them to the APP user interface in real time.

7. A factory production information management method according to claim 1, characterized in that: The execution of the risk management model in step S04 includes: The difference value is obtained, and when the difference value is a negative value and is greater than a threshold value, a data error occurs in the basic stage of the business corresponding to the data template; The difference value is obtained, and when the difference value is positive and greater than a threshold value, data errors occur in the basic stage and the upper stage of the service corresponding to the data template; The threshold is 2.

8. A factory production information management method according to claim 1, characterized in that: The method also includes a new data template, which includes: S51. New cases are triggered by the general account, and the cloud link is automatically jumped to generate a cloud excel table; S52, the generated Excel table is automatically loaded into a blank template; S53: After the template is created, a temporary sub-business chain corresponding to the template is created and updated to the library of the data template; The APP includes a master account and sub-accounts of roles on multiple temporary sub-business chains that create a tree-top relationship with the master account.

9. A non-transitory computer-readable storage medium, wherein at least one instruction or at least one program is stored in the non-transitory computer-readable storage medium, characterized in that: The at least one instruction or the at least one program is loaded and executed by the processor to implement the factory production information management method as described in any one of claims 1-8.

10. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the factory production information management method as described in any one of claims 1-8.

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