An industrial intelligent management method based on MES

Abstract

The present application relates to the field of industrial management technology, and in particular to an industrial intelligent management method based on MES. The method includes: obtaining the historical production data of the enterprise, analyzing the historical production data, determining the production process, production scale and product characteristics; analyzing the product characteristics, determining the key control nodes in the production process; obtaining the enterprise management needs, and determining the actual production needs and personnel management needs according to the enterprise management needs, key control nodes and production scale; based on the actual production needs and personnel management needs, developing management modules and integrating MES systems. Accurately determine the production links, improve the utilization rate of the MES system, and avoid waste of human resources. Tailor-made exclusive MES systems for enterprises, reduce trial and error costs, more efficiently optimize production processes, improve production efficiency, improve product quality and optimize personnel management, improve the overall operational efficiency of enterprises, and thus enhance the market competitiveness of enterprises.

Description

Technical Field

[0001] The present application relates to the field of industrial management technology, and in particular to an industrial intelligent management method based on MES. Background Art

[0002] MES (Manufacturing Execution System) is a very important information management system in modern manufacturing. It can respond and report to real-time events through information transmission, and use current accurate data for corresponding guidance and processing, thereby improving production efficiency and quality, reducing costs, and enhancing market competitiveness.

[0003] However, the MES system is huge and has many modules and complex logical relationships. It is often difficult for enterprises to fully understand its functions and effects when implementing it. Some enterprises lack system awareness when selecting, making it difficult to choose an MES system that is truly suitable for them. Summary of the invention

[0004] This application provides an industrial intelligent management method based on MES to solve the above problems and customize a suitable MES system for the enterprise.

[0005] In a first aspect, the present application provides an industrial intelligent management method based on MES, comprising:

[0006] Obtain the company's historical production data, analyze the historical production data, and determine the production process, production scale, and product characteristics;

[0007] Analyze the product characteristics and determine the key control nodes in the production process;

[0008] Obtain enterprise management requirements, and determine actual production requirements and personnel management requirements based on the enterprise management requirements, the key control nodes and the production scale;

[0009] Based on the actual production needs and the personnel management needs, a management module is developed and an MES system is integrated.

[0010] Optionally, analyzing the historical production data to determine the production process, production scale and product characteristics includes:

[0011] Analyze the historical production data, determine the data characteristics of each historical production data, classify the historical production data based on the data characteristics, and obtain the production link according to the classification result;

[0012] Screening the production links to obtain a production process;

[0013] Determine production data according to the classification result, and determine the production volume per unit time according to the production data;

[0014] Determine the production scale according to the production volume per unit time and the preset enterprise planning volume;

[0015] Determine the test data according to the classification results; determine the product qualification rate according to the test data;

[0016] Determine product ingredients based on the production process and the production data;

[0017] The product characteristics are determined based on the product ingredients and the product qualification rate.

[0018] Optionally, analyzing the product characteristics to determine key control nodes in the production process includes:

[0019] Analyze the classified historical production data to determine the unit production time and defective quantity of each production process;

[0020] Determine the production defect rate per unit time according to the defect quantity and the product characteristics;

[0021] Obtaining the production task volume of each production process, and determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time;

[0022] Sort the production difficulty of each production process and determine the key control nodes based on the sorting results.

[0023] Optionally, the production difficulty of each production process is determined according to the production task volume, the unit production time and the production defect rate per unit time, referring to the following formula:

[0024]

[0025] Among them, D i Indicates production difficulty; T i represents the production task volume of the i-th production process; t i represents the unit production time of the i-th production process; R i It represents the production defect rate per unit time of the i-th production process.

[0026] Optionally, obtaining enterprise management requirements includes:

[0027] Obtain enterprise architecture information;

[0028] Analyze the enterprise structure information to determine employee types;

[0029] Based on the employee types described, determine the job responsibilities of each employee type;

[0030] According to the job responsibilities, send demand acquisition signals to managers corresponding to each employee type, and receive management demands sent by the corresponding managers;

[0031] According to the job responsibilities and the management requirements sent by the corresponding managers, the enterprise management requirements are obtained.

[0032] Optionally, determining actual production requirements and personnel management requirements according to the enterprise management requirements, the key control nodes and the production scale includes:

[0033] Determine the unit production volume according to the production scale;

[0034] Determine the material consumption and equipment consumption per unit time according to the unit production volume and the production process;

[0035] Determining the actual production demand according to the material consumption and the equipment consumption;

[0036] Determine the personnel requirements for each production position based on the key control nodes;

[0037] Determine the skill requirements for each production position based on the production scale;

[0038] The personnel management requirements are determined based on the personnel requirements and the skill requirements.

[0039] Optionally, developing a management module based on the actual production requirements and the personnel management requirements and integrating an MES system includes:

[0040] Based on the actual production needs, establish an MES simulation system;

[0041] According to the personnel management requirements, the MES simulation system is run, and the running smoothness is determined according to the running results;

[0042] Determine whether there is a problem with the current operation according to the operation smoothness;

[0043] If there is a problem, determine and analyze the stuck node based on the operation results to determine the operation problem;

[0044] According to the actual production needs, the personnel management needs and the operational problems, a management module is developed and an MES system is integrated.

[0045] Optionally, determining the operation fluency according to the operation result includes:

[0046] Determine the throughput and average response time during the operation according to the operation results;

[0047] Acquire and analyze the establishment data of the MES simulation system, and determine the material data and component data of the MES simulation system based on the data analysis results;

[0048] Determine, according to the component data, the contact area of ​​the moving component of the MES simulation system and the relative speed of the moving component of the MES simulation system;

[0049] Determine the friction coefficient between the building materials and the quality of the MES simulation system according to the material data;

[0050] Comprehensively analyzing the component data and the material data to determine the stiffness coefficient of the MES simulation system;

[0051] The running smoothness is determined according to the contact area, the relative speed, the friction coefficient, the stiffness coefficient and the mass, referring to the following formula:

[0052]

[0053] Among them, C represents the running smoothness; T represents the throughput; A represents the average response time; k represents the stiffness coefficient; m represents the mass; H represents the contact area; μ represents the friction coefficient; v represents the relative speed of the moving parts of the MES simulation system; ρ represents the medium density of the working environment of the MES simulation system; c represents the medium damping coefficient of the working environment; α represents the influence coefficient of k and m on damping; β represents the influence coefficient of μ, H, v on damping; γ represents the influence coefficient of ρ, c, H on damping.

[0054] Optionally, determining the material consumption and equipment consumption per unit time according to the unit production volume and the production process includes:

[0055] Determine production raw materials and equipment data according to the production process;

[0056] According to the production raw materials, determine the material consumption per unit time, refer to the following formula:

[0057]

[0058] Among them, M t represents the material consumption per unit time; n represents the quantity of the raw materials; P represents the unit production volume; M i represents the unit consumption of the i-th production raw material;

[0059] Determining device usage parameters based on the device data;

[0060] According to the equipment usage parameters, determine the equipment consumption per unit time, refer to the following formula:

[0061]

[0062] Among them, T e represents the equipment consumption per unit time; m represents the number of equipment; W j represents the power of the jth device; T j Represents the unit operating time of the j-th device.

[0063] In a second aspect, the present application provides an industrial intelligent management system based on MES, including:

[0064] A data analysis module is used to obtain the historical production data of the enterprise, analyze the historical production data, and determine the production process, production scale and product characteristics;

[0065] A node determination module, used to analyze the product characteristics and determine the key control nodes in the production process;

[0066] A demand analysis module is used to obtain enterprise management requirements and determine actual production requirements and personnel management requirements based on the enterprise management requirements, the key control nodes and the production scale;

[0067] The system development module is used to develop a management module and integrate the MES system based on the actual production needs and the personnel management needs.

[0068] Optionally, the data analysis module is specifically used to:

[0069] Analyze the historical production data, determine the data characteristics of each historical production data, classify the historical production data based on the data characteristics, and obtain the production link according to the classification result;

[0070] Screening the production links to obtain a production process;

[0071] Determine production data according to the classification result, and determine the production volume per unit time according to the production data;

[0072] Determine the production scale according to the production volume per unit time and the preset enterprise planning volume;

[0073] Determine the test data according to the classification results; determine the product qualification rate according to the test data;

[0074] Determine product ingredients based on the production process and the production data;

[0075] The product characteristics are determined based on the product ingredients and the product qualification rate.

[0076] Optionally, the node determination module is specifically used to:

[0077] Analyze the classified historical production data to determine the unit production time and defective quantity of each production process;

[0078] Determine the production defect rate per unit time according to the defect quantity and the product characteristics;

[0079] Obtaining the production task volume of each production process, and determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time;

[0080] Sort the production difficulty of each production process and determine the key control nodes based on the sorting results.

[0081] Optionally, when determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time, the node determination module is specifically used to:

[0082]

[0083] Among them, D i Indicates production difficulty; T i represents the production task volume of the i-th production process; t i represents the unit production time of the i-th production process; R i It represents the production defect rate per unit time of the i-th production process.

[0084] Optionally, the demand analysis module is specifically used to:

[0085] Obtain enterprise architecture information;

[0086] Analyze the enterprise structure information to determine employee types;

[0087] Based on the employee types described, determine the job responsibilities of each employee type;

[0088] According to the job responsibilities, send demand acquisition signals to managers corresponding to each employee type, and receive management demands sent by the corresponding managers;

[0089] According to the job responsibilities and the management requirements sent by the corresponding managers, the enterprise management requirements are obtained.

[0090] Optionally, the demand analysis module is specifically used to:

[0091] Determine the unit production volume according to the production scale;

[0092] Determine the material consumption and equipment consumption per unit time according to the unit production volume and the production process;

[0093] Determining the actual production demand according to the material consumption and the equipment consumption;

[0094] Determine the personnel requirements for each production position based on the key control nodes;

[0095] Determine the skill requirements for each production position based on the production scale;

[0096] The personnel management requirements are determined based on the personnel requirements and the skill requirements.

[0097] Optionally, the system development module is specifically used for:

[0098] Based on the actual production needs, establish an MES simulation system;

[0099] According to the personnel management requirements, the MES simulation system is run, and the running smoothness is determined according to the running results;

[0100] Determine whether there is a problem with the current operation according to the operation smoothness;

[0101] If there is a problem, determine and analyze the stuck node based on the operation results to determine the operation problem;

[0102] According to the actual production needs, the personnel management needs and the operational problems, a management module is developed and an MES system is integrated.

[0103] Optionally, the system development module is specifically used for:

[0104] Determine the throughput and average response time during the operation according to the operation results;

[0105] Acquire and analyze the establishment data of the MES simulation system, and determine the material data and component data of the MES simulation system based on the data analysis results;

[0106] Determine, according to the component data, the contact area of ​​the moving component of the MES simulation system and the relative speed of the moving component of the MES simulation system;

[0107] Determine the friction coefficient between the building materials and the quality of the MES simulation system according to the material data;

[0108] Comprehensively analyzing the component data and the material data to determine the stiffness coefficient of the MES simulation system;

[0109] The running smoothness is determined according to the contact area, the relative speed, the friction coefficient, the stiffness coefficient and the mass, referring to the following formula:

[0110]

[0111] Among them, C represents the running smoothness; T represents the throughput; A represents the average response time; k represents the stiffness coefficient; m represents the mass; H represents the contact area; μ represents the friction coefficient; v represents the relative speed of the moving parts of the MES simulation system; ρ represents the medium density of the working environment of the MES simulation system; c represents the medium damping coefficient of the working environment; α represents the influence coefficient of k and m on damping; β represents the influence coefficient of μ, H, v on damping; γ represents the influence coefficient of ρ, c, H on damping.

[0112] Optionally, the demand analysis module is specifically used to:

[0113] Determine production raw materials and equipment data according to the production process;

[0114] According to the production raw materials, determine the material consumption per unit time, refer to the following formula:

[0115]

[0116] Among them, M t represents the material consumption per unit time; n represents the quantity of the raw materials; P represents the unit production volume; M i represents the unit consumption of the i-th production raw material;

[0117] Determining device usage parameters based on the device data;

[0118] According to the equipment usage parameters, determine the equipment consumption per unit time, refer to the following formula:

[0119]

[0120] Among them, T e represents the equipment consumption per unit time; m represents the number of equipment; W j represents the power of the jth device; T j Represents the unit operating time of the j-th device. BRIEF DESCRIPTION OF THE DRAWINGS

[0121] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0122] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0123] Figure 2 A method flow chart of an industrial intelligent management method based on MES provided in one embodiment of the present application;

[0124] Figure 3 A structural diagram of an industrial intelligent management system based on MES provided in one embodiment of the present application. DETAILED DESCRIPTION

[0125] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme 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.

[0126] 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.

[0127] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0128] The MES system is huge and has many modules, with complex logical relationships. It is often difficult for enterprises to fully understand its functions and roles when implementing it. Some enterprises lack system awareness when selecting, and it is difficult to choose an MES system that is truly suitable for them. Therefore, how to determine the appropriate MES system based on the characteristics of the enterprise itself can more efficiently realize industrial intelligent management.

[0129] Based on this, the present application provides an industrial intelligent management method based on MES, which deeply analyzes the historical production data of the enterprise, and can more accurately understand the existing production process, production scale and product characteristics, so as to provide data support for determining the production needs of the enterprise. Determining the key control nodes is helpful to implement more effective monitoring and management in the production process to ensure product quality and production efficiency. According to the management needs of the enterprise, key control nodes and production scale, the actual production needs and personnel management needs are determined, and the production links can be determined more accurately, the utilization rate of the MES system can be improved, and sufficient human resources can be ensured on the production line, while avoiding the waste of human resources. Based on the actual production needs and personnel management needs, the management module is developed and the MES system is integrated, which can tailor an exclusive MES system for the enterprise, reduce the cost of trial and error, and more efficiently optimize the production process, improve production efficiency, improve product quality and optimize personnel management, improve the overall operational efficiency of the enterprise, and thus enhance the market competitiveness of the enterprise.

[0130] Figure 1 This is a schematic diagram of an application scenario provided for this application. When an enterprise needs to build an MES system, it can apply the method provided by this application to build a suitable MES system based on the characteristics of the enterprise itself, thereby improving management efficiency and reducing trial and error costs.

[0131] Specifically, the method provided in this application is applied to any server, and the server interacts with the enterprise's production management system. By acquiring and analyzing the historical production data and enterprise management needs in the enterprise's production management system, the enterprise's actual production needs and personnel management needs are accurately determined, thereby developing a management module and tailoring an exclusive MES system for the enterprise, thereby more efficiently optimizing the production process, improving production efficiency, improving product quality, and optimizing personnel management, thereby improving the overall operational efficiency of the enterprise and enhancing the enterprise's market competitiveness.

[0132] For specific implementation methods, please refer to the following embodiments.

[0133] Figure 2 This is a flowchart of an MES-based industrial intelligent management method provided in one embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0134] S201. Obtain the company's historical production data, analyze the historical production data, and determine the production process, production scale and product characteristics.

[0135] Historical production data can be understood as all data generated by the company's factory production during the historical period; it can be obtained from the company's existing production management system.

[0136] Specifically, a process analysis model is established, and historical production data is input into the process analysis model to determine the production links of the factory and the dependencies of each link, so as to obtain the corresponding production process.

[0137] Using data mining technology, we analyze historical production data to determine the production rules in each production process, which may include the unit production volume of each production process and the production cycle and downtime of each production process. Based on the above production rules, we can evaluate the production scale of the enterprise.

[0138] Analyze historical production data to determine the number and causes of defective products generated by each production process in each production cycle, and determine product characteristics based on the number and causes of defective products.

[0139] S202. Analyze product characteristics and determine key control nodes in the production process.

[0140] Key control nodes can be understood as nodes that require special attention. These nodes may be nodes that have a significant impact on the quality of the product, or they may be nodes that have a significant impact on the operation of the equipment itself.

[0141] Specifically, after obtaining the product characteristics, the locations where the unqualified products are produced are determined according to the causes of the unqualified products obtained above, the locations where the unqualified products are produced are counted, and the number of unqualified products at each location is determined, and then a weighted calculation is performed on each location based on the quantity to determine the key control points.

[0142] S203. Obtain enterprise management requirements, and determine actual production requirements and personnel management requirements based on enterprise management requirements, key control nodes, and production scale.

[0143] The actual production demand can be understood as the actual management demand of the enterprise's factory during the production process. This actual production demand is obtained through a comprehensive analysis of the enterprise's management needs, key control nodes and production scale, and may differ from the production demand described by the relevant personnel of the enterprise.

[0144] The personnel management demand can be understood as the demand for personnel management of the above-mentioned enterprise, which can be obtained after analyzing the above-mentioned historical production data, and may be different from the personnel management demand described by the relevant personnel of the enterprise.

[0145] Specifically, when an enterprise needs to build an MES system, it can take the initiative to initiate a construction request, which includes the management needs of the enterprise. Based on the production process, production scale and product characteristics obtained from the analysis of historical production data, the production capacity of the enterprise is evaluated, and then the enterprise management needs issued by the enterprise are verified in combination with the production capacity of the enterprise, the current market demand and key control nodes. The differences and similarities are determined based on the verification results, and the actual production needs of the enterprise are determined based on these differences and similarities.

[0146] According to the above production process, clarify the existing positions in the enterprise and the corresponding job responsibilities. According to the working characteristics of key control nodes, determine the special job responsibilities required for the positions at these nodes. Based on the above content, determine the personnel management needs.

[0147] S204. Based on actual production needs and personnel management needs, develop management modules and integrate MES system.

[0148] Specifically, the integration goal is determined based on actual production needs and personnel management needs. According to the content of the above construction request, the construction cost of the enterprise is determined. In combination with the construction cost and integration goals, an integration plan is designed, and appropriate technical tools and platforms are selected. Based on the above integration plan, a management module is developed to integrate an MES system that fully matches the actual situation of the enterprise.

[0149] Through the solution provided by this application, in-depth analysis of the company's historical production data can more accurately understand the existing production processes, production scales and product characteristics, thereby providing data support for determining the company's production needs. Determining key control nodes will help implement more effective monitoring and management in the production process to ensure product quality and production efficiency. According to the company's management needs, key control nodes and production scale, determine the actual production needs and personnel management needs, more accurately determine the production links, and improve the utilization rate of the MES system. Based on actual production needs and personnel management needs, develop management modules and integrate MES systems. Exclusive MES systems can be tailored for enterprises, reducing trial and error costs, more efficiently optimizing production processes, improving production efficiency, improving product quality and optimizing personnel management, and improving the overall operational efficiency of the enterprise, thereby enhancing the company's market competitiveness.

[0150] In some embodiments, historical production data is analyzed to determine the data characteristics of each historical production data; based on the data characteristics, the historical production data is classified, and according to the classification results, the production links are obtained; the production links are screened to obtain the production process; according to the classification results, the production data is determined, and according to the production data, the production volume per unit time is determined; according to the production volume per unit time and the preset enterprise planning volume, the production scale is determined; according to the classification results, the test data is determined; according to the test data, the product qualification rate is determined; according to the production process and the production data, the product ingredients are determined; according to the product ingredients and the product qualification rate, the product characteristics are determined.

[0151] The production link can be understood as the entire process involved in industrial production. In addition to all the production processes involving the production of products, it can also include the procurement of raw materials and the subsequent transportation links.

[0152] The preset enterprise planning quantity can be understood as the production volume per unit time determined by the enterprise before production, based on the characteristics of the product and an evaluation of its own production equipment, equipment performance and other factors. This is the production volume under ideal conditions.

[0153] The test data can be understood as the data corresponding to the product testing link in the production process. The product qualification rate can be understood as the product qualification rate per unit time determined by analyzing the test data, or the qualification rate after all product tests are completed after this production.

[0154] Product ingredients can be understood as the raw materials needed to produce the above products.

[0155] Product features can be understood as the characteristics of the product itself.

[0156] Specifically, natural language processing technology is used to analyze historical production data to determine the data features in the data, such as time, quantifiers, materials, etc. Through these data features, the type to which the data corresponds is determined. For example, time can be the usage time of the corresponding material or product, production time, or the startup time or shutdown time of the equipment, etc. The specific type determined here can be determined more accurately in combination with the contextual information of the data, thereby making a more detailed division of the data type.

[0157] After determining the type of data, all production links of the product are determined, so as to screen all production links and determine the process when actually producing the product. For example, the production process is finalized as injection molding, while the purchase of raw materials for injection molding does not belong to the production process.

[0158] According to the classification results obtained by the above classification, determine which data is the production data corresponding to the production process, so as to determine the production volume of the above product per unit time based on the production data. At the same time, according to the classification results, determine which data belongs to the data corresponding to the inspection process, so as to obtain the inspection data. Using the inspection data, determine the product qualification rate when the above product was produced in history.

[0159] Since there is a discrepancy between the company's own positioning and actual production volume, the company's actual production scale is determined by combining the actual production volume per unit time and the preset enterprise planning volume of the company's own planning.

[0160] Based on production data and production processes, determine the raw materials used in each process, thereby determining the composition of the product. Combined with the analysis results of product composition and product qualification rate, determine the key characteristics of the product (such as physical properties, chemical properties, service life, etc.).

[0161] Through the solution provided in this embodiment, historical production data is analyzed and classified to more clearly identify production links and processes. The production scale is determined based on the production volume per unit time and the preset enterprise planning volume to avoid the problem that the company's self-cognition is unclear, resulting in the subsequent MES system not being suitable for its own production scale, causing unnecessary cost waste. Analyzing product characteristics in combination with product ingredients and product qualification rates also helps to have a deeper understanding of the uniqueness of the product, making it easier to subsequently build the functions of the MES system for the products produced, thereby improving the utilization rate of the MES system.

[0162] In some embodiments, the classified historical production data is analyzed to determine the unit production time and defective quantity of each production process; the production defect rate per unit time is determined based on the defective quantity and product characteristics; the production task volume of each production process is obtained, and the production difficulty of each production process is determined based on the production task volume, unit production time and the production defect rate per unit time; the production difficulty of each production process is ranked, and the key control nodes are determined based on the ranking results.

[0163] Unit production time can be understood as the time required to produce a product.

[0164] The defective quantity can be understood as the number of products that are detected as unqualified among all the products produced.

[0165] The production defect rate can be understood as the ratio of unqualified products to all products produced per unit time.

[0166] Specifically, the classified historical production data is analyzed to determine whether there is data of the data type of unqualified and production volume. If so, the number of products detected as unqualified in the corresponding period is statistically obtained based on the data of the unqualified type, and the defective quantity of the corresponding period is obtained. The production average value of the corresponding period is statistically calculated using the data of the production volume type, and the unit production time required for each production process to produce a product is obtained.

[0167] According to the defective quantity and the corresponding production volume, calculate the production defect rate within a unit time (such as per hour, per day). The calculation formula is: Defective rate = defective quantity / production volume × 100%.

[0168] Obtain the production task volume of each production process from the production plan, that is, the total planned production volume. This production plan can be obtained through the demand of the order. Combined with the unit production time, the production defect rate per unit time, and the production task volume, comprehensively evaluate the production difficulty of each production process. Sort all production processes according to production difficulty, from high to low or from low to high. According to the sorting results, identify the production processes with the highest production difficulty as key control nodes.

[0169] Through the solution provided in this embodiment, the analysis is performed based on the classified historical production data, ensuring the objectivity and accuracy of the analysis. Taking into account multiple factors such as the production task volume, unit production time, and production defect rate per unit time, the difficulty of the production process is quantified, making it easier to compare different production processes and identifying production bottlenecks more clearly and accurately. This makes the subsequent MES system construction more in line with the actual production process and key control nodes, reduces cost waste, and improves system utilization and management level.

[0170] In some embodiments, the production difficulty of each production process is determined according to the production task volume, the unit production time and the production defect rate per unit time, referring to the following formula (1):

[0171]

[0172] Among them, D i Indicates production difficulty; T i represents the production task volume of the i-th production process; t i represents the unit production time of the i-th production process; R i It represents the production defect rate per unit time of the i-th production process.

[0173] Through the solution provided in this embodiment, multiple factors such as production task volume, unit production time and production defective rate per unit time are comprehensively considered, and a formula is designed to calculate the production difficulty of each production process, which more comprehensively reflects the actual situation of the production process and enables objective comparison of the difficulty between different production processes, avoiding deviations caused by subjective judgment and ensuring that the assessment of production difficulty is more scientific and accurate.

[0174] In some embodiments, enterprise architecture information is obtained; the enterprise architecture information is analyzed to determine employee types; based on employee types, job responsibilities of each employee type are determined; based on job responsibilities, a demand acquisition signal is sent to managers corresponding to each employee type, and management demands sent by corresponding managers are received; enterprise management demands are obtained based on job responsibilities and management demands sent by corresponding managers.

[0175] Enterprise architecture information can be understood as data related to the enterprise architecture, such as department settings, position divisions, employee levels, etc.

[0176] The demand acquisition signal can be understood as a signal sent to each manager, requiring the manager to summarize the demand for the MES system.

[0177] Specifically, the enterprise structure information is obtained through channels such as the official website of the enterprise, internal documents, organizational charts, employee handbooks, etc., and then the enterprise structure information is analyzed to determine the position division of the above-mentioned enterprise and obtain the employee type.

[0178] According to the type of employees and the department settings and employee levels in the architecture information, the job responsibilities of the corresponding type of employees in their positions are determined, and based on the job responsibilities, the managers of the corresponding departments are determined and demand acquisition signals are sent to them. After the managers of the corresponding departments receive the above signals, they receive the management needs counted by the corresponding managers, integrate the job responsibilities with the management needs sent by the corresponding managers, and obtain the enterprise management needs.

[0179] Through the solution provided by this embodiment, starting from obtaining enterprise architecture information, after a series of orderly analysis, the enterprise management requirements are finally obtained, ensuring the systematic and comprehensive nature of the information and avoiding omissions or bias. First, the enterprise architecture information is analyzed to determine the employee type. The job responsibilities and the management requirements sent by the corresponding managers are comprehensively considered to ensure the comprehensiveness and practicality of the management requirements.

[0180] In some embodiments, the unit production volume is determined based on the production scale; the material consumption and equipment consumption per unit time are determined based on the unit production volume and the production process; the actual production demand is determined based on the material consumption and equipment consumption; the personnel demand for each production position is determined based on the key control nodes; the skill requirement for each production position is determined based on the production scale; and the personnel management demand is determined based on the personnel demand and skill requirement.

[0181] Actual production demand can be understood as the actual demand in the entire production process.

[0182] Personnel requirements can be understood as the personality, characteristics or character that personnel need to possess at corresponding key control nodes.

[0183] Skill requirements can be understood as the skills that the corresponding production personnel need to master in the production of the above products.

[0184] Specifically, based on the production scale of the enterprise, the production capacity of the enterprise is evaluated to determine the unit production volume of each production cycle or time period. Based on the unit production volume, the average amount of material required to produce these products is calculated when the production volume is known, and the material consumption is obtained. In a specific implementation method, it can be obtained by comprehensive calculation based on the total production volume per unit time and the material waste.

[0185] Obtain the equipment operation data, and obtain the energy consumption consumed in producing products from the equipment operation data, so as to calculate the equipment energy consumption per unit time based on the total energy consumption.

[0186] Based on the material consumption and equipment consumption obtained above, mathematical analysis is used to calculate which aspects of production management the enterprise should carry out after actually putting into production, such as equipment maintenance cycle management, material update or purchase management, etc.

[0187] Through historical production data, the complexity and workload of each key control node are evaluated, and the number of personnel required for each key control node is evaluated to obtain the personnel demand. In addition, the complexity of each key control node is used to determine the professional capabilities that the staff at this node should master, so as to obtain the skill requirements of each key control node. Correspondingly, the skill requirements of other production processes can also be obtained through the complexity of the corresponding processes.

[0188] According to the personnel needs and skill requirements, clarify the goals of personnel management, such as improving production efficiency, reducing costs, etc., and determine the personnel management needs. For example, refer to Table (1) for personnel management planning:

[0189] Key control nodes Personnel requirements Skills Required Management Requirements Process A 5 people Proficient in operating X equipment Recruitment of skilled workers; regular training Process B 3 people Master Y process knowledge Internal training; performance appraisal Process C 2 people Ability to respond to emergencies Emergency drills; team building

[0190] Table (1)

[0191] Through the solution provided in this embodiment, the unit production volume is determined according to the production scale to ensure that the production capacity matches the market demand. Determining the material consumption and equipment consumption per unit time according to the unit production volume and production process helps enterprises optimize resource allocation, reduce waste, and improve resource utilization efficiency with the help of the established MES system. Determine the personnel requirements of each production position according to the key control nodes to ensure that key positions have sufficient human resource support and improve the stability and efficiency of the production process. Determine the personnel management requirements according to personnel requirements and skill requirements, which helps promote enterprise management, reduce system construction costs, and improve the efficiency of automated management.

[0192] In some embodiments, an MES simulation system is established based on actual production needs; the MES simulation system is run according to personnel management needs, and the operation smoothness is determined based on the operation results; based on the operation smoothness, it is determined whether there are problems with the current operation; if there are problems, the stuck nodes are determined and analyzed based on the operation results to determine the operation problems; based on actual production needs, personnel management needs and operation problems, a management module is developed and the MES system is integrated.

[0193] Specifically, the actual production needs are analyzed to obtain the production scale, product characteristics, production process, key control nodes, skill requirements and other contents that have been disclosed in the above embodiments, select a suitable simulation tool, and use the above data to establish an MES simulation system to simulate the operation process of the MES system.

[0194] Execute the MES system simulation in the simulation environment to simulate various activities and decision-making processes in the entire product production cycle, determine the key indicators of the simulation process, such as production efficiency, material consumption, equipment consumption, etc., and evaluate the operation smoothness of the MES system based on the above key indicators.

[0195] Judging whether there are any stuck links by running smoothly, if so, the stuck nodes can be determined by means of simulation playback or log analysis. Then, the stuck nodes are analyzed in depth to determine the causes of the stuck, such as insufficient data processing capabilities and uneven resource allocation. In the specific implementation method, the uncertainty and dynamic change factors in the actual production environment can be considered, such as equipment failure, material shortages, personnel changes, etc., and these factors can be added to the simulation environment for simulation to evaluate the processing capabilities of the MES system in the face of a series of problems in the actual production environment, so as to conduct a comprehensive evaluation and determine the running smoothness. Then, according to the actual production needs, personnel management needs and the operation problems found during the simulation, the management module is developed and the MES system is integrated.

[0196] Through the solution provided in this embodiment, an MES simulation system is established using actual production needs to determine whether there are some defects in the initially built system that affect the operation of the system. If so, they are dealt with in a timely manner. At the same time, the MES simulation system that has been built based on actual production needs and personnel management needs is optimized, so that this system can assist enterprises in management more quickly and efficiently and improve overall production efficiency.

[0197] In some embodiments, the throughput and average response time during the operation are determined according to the operation results; the establishment data of the MES simulation system is obtained and analyzed, and the material data and component data of the MES simulation system are determined based on the data analysis results; the contact area of ​​the moving parts of the MES simulation system and the relative speed of the moving parts of the MES simulation system are determined according to the component data; the friction coefficient between the building materials and the quality of the MES simulation system are determined according to the material data; the stiffness coefficient of the MES simulation system is determined by comprehensively analyzing the component data and the material data;

[0198] Determine the running smoothness based on the contact area, relative speed, friction coefficient, stiffness coefficient and mass, referring to the following formula (2):

[0199]

[0200] Among them, C represents the running smoothness; T represents the throughput; A represents the average response time; k represents the stiffness coefficient; m represents the mass; H represents the contact area; μ represents the friction coefficient; v represents the relative speed of the moving parts of the MES simulation system; ρ represents the medium density of the working environment of the MES simulation system; c represents the medium damping coefficient of the working environment; α represents the influence coefficient of k and m on damping; β represents the influence coefficient of μ, H, and v on damping; γ represents the influence coefficient of ρ, c, and H on damping.

[0201] Throughput can be understood as the amount of data successfully transmitted per unit time by a network, device, port, virtual circuit or other facility, which can reflect the data processing capability of the MES system.

[0202] The average response time can be understood as the average time it takes for a request to be processed from the start of queuing to the end of execution after certain request operations are performed through the MES system. It can reflect the processing speed and efficiency of the MES system for requests.

[0203] Establishment data can be understood as all the data required to build an MES system, which may include hardware-related data and software-related data.

[0204] Material data can be understood as the data corresponding to the materials of the hardware required to build the MES system, which may include the type, density, hardness and other properties of the material.

[0205] Component data can be understood as the component data in the hardware-related data required to build the MES system, which may include the size, shape, motion trajectory, etc. of each component.

[0206] Moving parts can be understood as parts that physically move during the operation of the MES system.

[0207] Specifically, after obtaining the operation results, the total number of tasks processed by the MES during the operation is counted from the operation results and used as the throughput. Then, the processing time of each task is counted, and all processing times are summed and divided by the above total number of tasks to obtain the average response time.

[0208] Capture the corresponding establishment data from the establishment process of the MES simulation system, analyze it, determine the materials and components used in the establishment process, and obtain the corresponding data. Use geometric calculation methods to obtain the contact area between each moving part and the other moving parts, and then obtain the relative speed of the moving parts through the relative motion relationship between the moving parts. According to the material data obtained above, find or calculate the friction coefficient between these materials. The friction coefficient between these materials can be obtained through experiments or using the existing knowledge of materials science.

[0209] After obtaining the material data and component data, the property information of the corresponding material or component is obtained, thereby obtaining the corresponding mass, and summing them up to obtain the mass of the MES simulation system. Comprehensively analyze the component data and material data, use engineering mechanics formulas or simulation software to calculate, and obtain the stiffness coefficient of the MES simulation system.

[0210] After obtaining the contact area, relative speed, friction coefficient, stiffness coefficient and mass through the above method, these parameters are quantified and formula (2) is designed to calculate the running smoothness.

[0211] Through the solution provided in this embodiment, multiple factors are comprehensively considered, and the design formula more accurately reflects the fluency of the MES simulation system in actual operation, avoiding the one-sidedness of single indicator evaluation. The contact area, relative speed, friction coefficient, stiffness coefficient and mass are quantified, so that the evaluation results of the running fluency are more accurate and objective, providing an accurate data basis for judging whether there are problems in the simulation of the MES system.

[0212] In some embodiments, the production raw materials and equipment data are determined according to the production process; the material consumption per unit time is determined according to the production raw materials, referring to the following formula (3):

[0213]

[0214] Among them, M tIt represents the material consumption per unit time; n represents the quantity of raw materials produced; P represents the unit production volume; M i represents the unit consumption of the i-th production raw material;

[0215] According to the equipment data, determine the equipment usage parameters; according to the equipment usage parameters, determine the equipment consumption per unit time, refer to the following formula (4):

[0216]

[0217] Among them, T e represents the equipment consumption per unit time; m represents the number of equipment; W j represents the power of the jth device; T j Represents the unit operating time of the j-th device.

[0218] Through the solution provided in this embodiment, the unit consumption and unit production of all production raw materials are taken into account, and a formula is designed to accurately calculate the material consumption per unit time. This makes the calculation result more reliable and practical, which helps to achieve refined management and optimize the production process. Taking into account the power and unit operating time of all equipment, the formula is designed to accurately calculate the equipment consumption per unit time, which helps to evaluate the overall energy consumption and operating cost of the equipment.

[0219] Figure 3 A structural diagram of an industrial intelligent management system based on MES provided in one embodiment of the present application is shown in FIG. Figure 3 As shown, the MES-based industrial intelligent management system 300 of this embodiment includes: a data analysis module 301, a node determination module 302, a demand analysis module 303, and a system development module 304.

[0220] The data analysis module 301 is used to obtain the historical production data of the enterprise, analyze the historical production data, and determine the production process, production scale and product characteristics;

[0221] A node determination module 302 is used to analyze the product characteristics and determine the key control nodes in the production process;

[0222] The demand analysis module 303 is used to obtain enterprise management requirements and determine actual production requirements and personnel management requirements based on the enterprise management requirements, the key control nodes and the production scale;

[0223] The system development module 304 is used to develop a management module and integrate the MES system based on the actual production needs and the personnel management needs.

[0224] Optionally, the data analysis module 301 is specifically used for:

[0225] Analyze the historical production data, determine the data characteristics of each historical production data, classify the historical production data based on the data characteristics, and obtain the production link according to the classification result;

[0226] Screening the production links to obtain a production process;

[0227] Determine production data according to the classification result, and determine the production volume per unit time according to the production data;

[0228] Determine the production scale according to the production volume per unit time and the preset enterprise planning volume;

[0229] Determine the test data according to the classification results; determine the product qualification rate according to the test data;

[0230] Determine product ingredients based on the production process and the production data;

[0231] The product characteristics are determined based on the product ingredients and the product qualification rate.

[0232] Optionally, the node determination module 302 is specifically configured to:

[0233] Analyze the classified historical production data to determine the unit production time and defective quantity of each production process;

[0234] Determine the production defect rate per unit time according to the defect quantity and the product characteristics;

[0235] Obtaining the production task volume of each production process, and determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time;

[0236] Sort the production difficulty of each production process and determine the key control nodes based on the sorting results.

[0237] Optionally, when determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time, the node determination module 302 is specifically used to:

[0238]

[0239] Among them, D i Indicates production difficulty; T i represents the production task volume of the i-th production process; t i represents the unit production time of the i-th production process; R i It represents the production defect rate per unit time of the i-th production process.

[0240] Optionally, the demand analysis module 303 is specifically used to:

[0241] Obtain enterprise architecture information;

[0242] Analyze the enterprise structure information to determine employee types;

[0243] Based on the employee types described, determine the job responsibilities of each employee type;

[0244] According to the job responsibilities, send demand acquisition signals to managers corresponding to each employee type, and receive management demands sent by the corresponding managers;

[0245] According to the job responsibilities and the management requirements sent by the corresponding managers, the enterprise management requirements are obtained.

[0246] Optionally, the demand analysis module 303 is specifically used to:

[0247] Determine the unit production volume according to the production scale;

[0248] Determine the material consumption and equipment consumption per unit time according to the unit production volume and the production process;

[0249] Determining the actual production demand according to the material consumption and the equipment consumption;

[0250] Determine the personnel requirements for each production position based on the key control nodes;

[0251] Determine the skill requirements for each production position based on the production scale;

[0252] The personnel management requirements are determined based on the personnel requirements and the skill requirements.

[0253] Optionally, the system development module 304 is specifically used to:

[0254] Based on the actual production needs, establish an MES simulation system;

[0255] According to the personnel management requirements, the MES simulation system is run, and the running smoothness is determined according to the running results;

[0256] Determine whether there is a problem with the current operation according to the operation smoothness;

[0257] If there is a problem, determine and analyze the stuck node based on the operation results to determine the operation problem;

[0258] According to the actual production needs, the personnel management needs and the operational problems, a management module is developed and an MES system is integrated.

[0259] Optionally, the system development module 304 is specifically used to:

[0260] Determine the throughput and average response time during the operation according to the operation results;

[0261] Acquire and analyze the establishment data of the MES simulation system, and determine the material data and component data of the MES simulation system based on the data analysis results;

[0262] Determine, according to the component data, the contact area of ​​the moving component of the MES simulation system and the relative speed of the moving component of the MES simulation system;

[0263] Determine the friction coefficient between the building materials and the quality of the MES simulation system according to the material data;

[0264] Comprehensively analyzing the component data and the material data to determine the stiffness coefficient of the MES simulation system;

[0265] The running smoothness is determined according to the contact area, the relative speed, the friction coefficient, the stiffness coefficient and the mass, referring to the following formula:

[0266]

[0267] Among them, C represents the running smoothness; T represents the throughput; A represents the average response time; k represents the stiffness coefficient; m represents the mass; H represents the contact area; μ represents the friction coefficient; v represents the relative speed of the moving parts of the MES simulation system; ρ represents the medium density of the working environment of the MES simulation system; c represents the medium damping coefficient of the working environment; α represents the influence coefficient of k and m on damping; β represents the influence coefficient of μ, H, v on damping; γ represents the influence coefficient of ρ, c, H on damping.

[0268] Optionally, the demand analysis module 303 is specifically used to:

[0269] Determine production raw materials and equipment data according to the production process;

[0270] According to the production raw materials, determine the material consumption per unit time, refer to the following formula:

[0271]

[0272] Among them, M t represents the material consumption per unit time; n represents the quantity of the raw materials; P represents the unit production volume; M i represents the unit consumption of the i-th production raw material;

[0273] Determining device usage parameters based on the device data;

[0274] According to the equipment usage parameters, determine the equipment consumption per unit time, refer to the following formula:

[0275]

[0276] Among them, T e represents the equipment consumption per unit time; m represents the number of equipment; W j represents the power of the jth device; T j Represents the unit operating time of the j-th device.

[0277] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. An industrial intelligent management method based on MES, characterized in that: include: Obtain the company's historical production data, analyze the historical production data, and determine the production process, production scale, and product characteristics; Analyze the product characteristics and determine the key control nodes in the production process; the key control nodes are used to characterize the nodes that need to be focused on, and the key control nodes include at least one of the nodes that have a significant impact on the quality of the product and the nodes that have a significant impact on the operation of the equipment itself; Obtain enterprise management requirements, and determine actual production requirements and personnel management requirements based on the enterprise management requirements, the key control nodes and the production scale; Based on the actual production needs and the personnel management needs, develop management modules and integrate the MES system; The analyzing of the historical production data to determine the production process, production scale and product characteristics includes: Analyze the historical production data, determine the data characteristics of each historical production data, classify the historical production data based on the data characteristics, and obtain the production link according to the classification result; Screening the production links to obtain a production process; Determine production data according to the classification result, and determine the production volume per unit time according to the production data; Determine the production scale according to the production volume per unit time and the preset enterprise planning volume; Determine the test data according to the classification results; determine the product qualification rate according to the test data; Determine product ingredients based on the production process and the production data; Determining the product characteristics according to the product ingredients and the product qualification rate; The analyzing the product characteristics and determining the key control nodes in the production process includes: Analyze the classified historical production data to determine the unit production time and defective quantity of each production process; Determine the production defect rate per unit time according to the defect quantity and the product characteristics; Obtaining the production task volume of each production process, and determining the production difficulty of each production process according to the production task volume, the unit production time and the production defect rate per unit time; Sort the production difficulty of each production process and determine the key control nodes based on the sorting results; The production difficulty of each production process is determined according to the production task volume, the unit production time and the production defect rate per unit time, referring to the following formula: Among them, D i Indicates production difficulty; T i represents the production task volume of the i-th production process; t i represents the unit production time of the i-th production process; R i It represents the production defect rate per unit time of the i-th production process.

2. The method according to claim 1, characterized in that: The obtaining of enterprise management requirements includes: Obtain enterprise architecture information; Analyze the enterprise structure information to determine employee types; Based on the employee types described, determine the job responsibilities of each employee type; According to the job responsibilities, send demand acquisition signals to managers corresponding to each employee type, and receive management demands sent by the corresponding managers; According to the job responsibilities and the management requirements sent by the corresponding managers, the enterprise management requirements are obtained.

3. The method according to claim 1, characterized in that Determining actual production needs and personnel management needs according to the enterprise management needs, the key control nodes and the production scale includes: Determine the unit production volume according to the production scale; Determine the material consumption and equipment consumption per unit time according to the unit production volume and the production process; Determining the actual production demand according to the material consumption and the equipment consumption; Determine the personnel requirements for each production position based on the key control nodes; Determine the skill requirements for each production position based on the production scale; The personnel management requirements are determined based on the personnel requirements and the skill requirements.

4. The method according to claim 1, characterized in that: Based on the actual production needs and the personnel management needs, the management module is developed and the MES system is integrated, including: Based on the actual production needs, establish an MES simulation system; According to the personnel management requirements, the MES simulation system is run, and the running smoothness is determined according to the running results; Determine whether there is a problem with the current operation according to the operation smoothness; If there is a problem, determine and analyze the stuck node based on the operation results to determine the operation problem; According to the actual production needs, the personnel management needs and the operational problems, a management module is developed and an MES system is integrated.

5. The method according to claim 4, characterized in that Determining the operation smoothness according to the operation result includes: Determine the throughput and average response time during the operation according to the operation results; Acquire and analyze the establishment data of the MES simulation system, and determine the material data and component data of the MES simulation system based on the data analysis results; Determine, according to the component data, the contact area of ​​the moving component of the MES simulation system and the relative speed of the moving component of the MES simulation system; Determine the friction coefficient between the building materials and the quality of the MES simulation system according to the material data; Comprehensively analyzing the component data and the material data to determine the stiffness coefficient of the MES simulation system; The running smoothness is determined according to the contact area, the relative speed, the friction coefficient, the stiffness coefficient and the mass, referring to the following formula: Among them, C represents the running smoothness; T represents the throughput; A represents the average response time; k represents the stiffness coefficient; m represents the mass; H represents the contact area; μ represents the friction coefficient; v represents the relative speed of the moving parts of the MES simulation system; ρ represents the medium density of the working environment of the MES simulation system; c represents the medium damping coefficient of the working environment; α represents the influence coefficient of k and m on damping; β represents the influence coefficient of μ, H, v on damping; γ represents the influence coefficient of ρ, c, H on damping.

6. The method according to claim 3, characterized in that Determining the material consumption and equipment consumption per unit time according to the unit production volume and the production process includes: Determine production raw materials and equipment data according to the production process; According to the production raw materials, determine the material consumption per unit time, refer to the following formula: Among them, M t represents the material consumption per unit time; n represents the quantity of the raw materials; P represents the unit production volume; M i represents the unit consumption of the i-th production raw material; Determining device usage parameters based on the device data; According to the equipment usage parameters, determine the equipment consumption per unit time, refer to the following formula: Among them, T e represents the equipment consumption per unit time; m represents the number of equipment; W j represents the power of the jth device; T j Represents the unit operating time of the j-th device.

7. An industrial intelligent management system based on MES, characterized in that: The method as claimed in any one of claims 1 to 6 comprises: A data analysis module is used to obtain the historical production data of the enterprise, analyze the historical production data, and determine the production process, production scale and product characteristics; A node determination module, used to analyze the product characteristics and determine the key control nodes in the production process; A demand analysis module is used to obtain enterprise management requirements and determine actual production requirements and personnel management requirements based on the enterprise management requirements, the key control nodes and the production scale; The system development module is used to develop a management module and integrate the MES system based on the actual production needs and the personnel management needs.

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