An intelligent platform management system and method for enterprise resource data analysis
By establishing a cloud-based database and equipment usage analysis model, the problem of insufficient collaborative control between equipment maintenance and production planning in traditional resource data analysis models has been solved. This has enabled efficient analysis of enterprise resource data and accurate production management, reducing production costs and equipment failure risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-28
- Publication Date
- 2026-04-10
AI Technical Summary
Traditional resource data analysis models are insufficient to meet the needs of modern enterprises for refined energy efficiency management and benefit maximization assessment, resulting in inadequate coordination between equipment maintenance and production planning, production task delays and frequent equipment failures, which affect production efficiency and product quality.
Establish a cloud database to collect and analyze resource data of production equipment, build equipment usage analysis models, link them to order production schedules, generate work plans, and push them to managers through an intelligent platform to dynamically adjust the maintenance and production tasks of production equipment.
It improves the scientific nature and accuracy of enterprise resource data analysis, reduces production costs, reduces the risk of equipment failure, and enhances production management efficiency and precise control of equipment status.
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Figure CN121235385B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of enterprise resource management, in particular to an intelligent platform management system and method for enterprise resource data analysis. BACKGROUND
[0002] With the transformation of global energy structure and the continuous rise of enterprise energy saving and carbon reduction demand, the traditional resource data analysis mode has been difficult to meet the dual goals of modern enterprise energy efficiency fine management and benefit maximization evaluation; the intelligent platform can effectively help enterprises choose the optimal path scheme by collecting multi-dimensional enterprise resource data and simulating resource allocation schemes in different scenarios, and improve the efficiency of enterprise operation management.
[0003] Enterprise resource data covers various data generated in the entire process of enterprise products from the production starting stage to the completion of sales. Due to the difference between different data, there are serious deficiencies in the coordination control of equipment maintenance and production planning in many current enterprises. Enterprises are difficult to effectively integrate and deeply analyze various enterprise resource data, and cannot accurately grasp the internal relationship between equipment state and production progress, resulting in frequent occurrence of production task delay and equipment sudden failure, affecting the production efficiency and product quality of enterprises. SUMMARY
[0004] The purpose of the present application is to provide a technical solution to solve the problems in the prior art.
[0005] To achieve the above purpose, the present application provides the following technical scheme: an intelligent platform management method for enterprise resource data analysis, comprising:
[0006] Establish a cloud database to collect and store resource data in the production process of a plurality of production equipment in the enterprise; the resource data includes the number of maintenance times, the number of production cycles, the production quantity and energy consumption of products in different production cycles of the production equipment; the production cycle represents the time period from the start to the shutdown of the production equipment;
[0007] Based on the resource data of the cloud database, a device usage analysis model is established to analyze the influence of different maintenance times and production cycles on the energy consumption of the production equipment;
[0008] Correlate the order production scheduling in the enterprise, determine the production task of the product according to the order production scheduling, and obtain the production quantity and production cycle of the product to be produced;
[0009] The real-time resource data of the production equipment is analyzed, the production task and the established device usage analysis model are used to generate a job scheme for the production equipment, and the job scheme is pushed to the management personnel.
[0010] Further, the timestamps of starting and closing of the production equipment are recorded respectively to determine different production cycles of the production equipment, and the production quantity and energy consumption of the product in each production cycle are recorded, and the average production cycle of each product is determined according to the timestamps ; when the production equipment is maintained, the timestamp of the maintenance of the production equipment is recorded, and the average cycle of the maintenance of the production equipment is determined according to the timestamp ; wherein each production equipment has the same specification and model, and produces the same product.
[0011] Further, the method steps for analyzing the influence of different maintenance times and production cycles on the energy consumption of the production equipment are:
[0012] S1, retrieve resource data from the cloud database for analysis, obtain the maintenance times of the production equipment in each resource data and production cycle times , x represents the amount of resource data retrieved and analyzed; the production quantity and energy consumption value of the product of the production equipment in each resource data in different production cycles are determined respectively, denoted as set A and set B;
[0013] S2, establish a device usage analysis model, according to the production quantity and energy consumption value of the production equipment in the corresponding production cycle, take the energy consumption value s of the production equipment as the dependent variable, take the production quantity h of the product of the production equipment, the maintenance times n and the production cycle times m as the independent variables, analyze the influence of different maintenance times and production cycles on the energy consumption of the production equipment, and fit the relationship curve about s, h, n and m:
[0014] ;
[0015] wherein represents the production quantity of the product of the production equipment in the jth production cycle; represents the influence degree of the production cycle times on the energy consumption of the production equipment; represents the influence degree of the production quantity of the product on the energy consumption of the production equipment; represents the influence degree of the maintenance times on the energy consumption of the production equipment; b represents the proportion of the influence of the maintenance of the production equipment on the energy consumption; is an error term, representing the energy consumption in the start-stop process of the production equipment;
[0016] S3, the analysis results of the resource data in S1 are substituted into the relationship curve in S2 as training parameters, and the relationship curve is fitted according to the least square method.
[0017] Further, according to the production task and the established device usage analysis model, the method steps for generating the job scheme of the production equipment are:
[0018] S10, determine the maintenance number of each production equipment according to the real-time resource data of the production equipment and production cycle number , y represents the number of production equipment of the enterprise, and the production number and energy consumption value of products of each production equipment in different production cycles are determined respectively; according to the production task of products, the product number Z and production cycle T to be produced at present are determined;
[0019] S20, generate the operation scheme of the production equipment according to the production task and the established equipment use analysis model, obtain the product number to be produced by each production equipment and the maintenance number of each production equipment after completing product production , so as to satisfy the condition formula:
[0020] ;
[0021] Wherein, E represents the index value for judging energy consumption; represents the product number to be produced by the gth production equipment; represents the production cycle number of the gth production equipment at present; represents the production number of products of the gth production equipment in the jth production cycle; represents the maintenance number of the gth production equipment after completing product production; represents the maintenance number of the gth production equipment at present; is a positive integer.
[0022] Further, the management personnel controls the production equipment according to the operation scheme, determines the product number to be produced by each production equipment according to , and maintains the production equipment according to : when , the production equipment does not need to be maintained; when there is , the maintenance operation is performed before the gth production equipment starts.
[0023] Further, the energy conversion efficiency early warning value K of the production equipment is determined to judge whether the production equipment needs to be maintained, and the method is: according to the production number and energy consumption value of products of the production equipment in the production cycle at present, the energy conversion efficiency of the production equipment at present is obtained, and and are analyzed; when , the production equipment does not need to be maintained, and the energy conversion efficiency of the production equipment is continuously monitored; when When the production equipment needs to be maintained, the corresponding number of the production equipment that needs to be maintained is pushed to the manager.
[0024] An intelligent platform management system for enterprise resource data analysis, comprising a data acquisition module, a cloud database, a model analysis module, a production order association module, a job plan module and an intelligent platform.
[0025] The data acquisition module is used to acquire resource data in the production process of a plurality of production equipment in an enterprise; the resource data includes the number of maintenance times, the number of production cycles, the production quantity and energy consumption of products in different production cycles of the production equipment; the production cycle represents the time period from the start to the shutdown of the production equipment; and the acquired resource data is sent to the cloud database.
[0026] The cloud database is used to store the resource data.
[0027] The model analysis module is used to establish a device usage analysis model based on the resource data of the cloud database, and analyze the influence of different maintenance times and production cycles on the energy consumption of the production equipment.
[0028] The production order association module is used to associate the order production scheduling in the enterprise, determine the production task of the product according to the order production scheduling, obtain the production quantity and production cycle of the product, and send them to the job plan module.
[0029] The job plan module is used to analyze the real-time resource data of the production equipment, generate a job plan of the production equipment according to the production task and the established device usage analysis model, and send the job plan to the intelligent platform.
[0030] The intelligent platform is used to push the job plan to the manager.
[0031] Further, the manager can view the resource data stored in the cloud database, control the start and stop of the production equipment, and set the production quantity of the product required by the production equipment through the intelligent platform.
[0032] Further, an early warning module is provided to determine an energy conversion efficiency early warning value of the production equipment, and monitor the production equipment according to the energy conversion efficiency early warning value to determine whether the production equipment needs to be maintained; if the production equipment does not need to be maintained, the monitoring continues; if the production equipment needs to be maintained, the corresponding number of the production equipment that needs to be maintained is pushed to the manager.
[0033] Compared with the prior art, the beneficial effects of the present application are:
[0034] 1. By establishing a device usage analysis model, the influence of different maintenance times and production cycles on the energy consumption of production equipment operation is analyzed, thereby providing data support for the generation of operation schemes and improving the scientificity and accuracy of enterprise resource data analysis.
[0035] 2. The enterprise production task is associated with the production and maintenance of the equipment, various types of enterprise resource data are analyzed, the number of products that each production equipment needs to produce is determined, the enterprise can complete the production task of the products at the lowest energy consumption, thereby reducing the production cost and reducing the waste of production resources; at the same time, the production equipment maintenance is dynamically adjusted according to the production task, the management efficiency of the equipment production is improved, and the risk of equipment failure is reduced. BRIEF DESCRIPTION OF DRAWINGS
[0036] Figure 1 is a structural schematic diagram of an intelligent platform management system for enterprise resource data analysis. DETAILED DESCRIPTION
[0037] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0038] The present application provides a technical solution:
[0039] In the first embodiment of the present application: an intelligent platform management method for enterprise resource data analysis is provided, comprising:
[0040] A cloud database is established to collect and store resource data in the production process of a plurality of production equipment in the enterprise; the resource data includes the number of maintenance times of the production equipment, the number of production cycles, the production quantity of products in different production cycles and the energy consumption; the production cycle represents the time period from the start to the shutdown of the production equipment.
[0041] It should be noted that the timestamps of the start and shutdown of the production equipment are recorded respectively to determine the different production cycles of the production equipment, and the production quantity and energy consumption of products in each production cycle are recorded, the average production cycle of each product is determined according to the timestamps ; when the production equipment is maintained, the timestamps of the production equipment maintenance are recorded, and the average cycle of the production equipment maintenance is determined according to the timestamps In the present embodiment, the specifications of the various production equipment are the same, and the products produced are the same.
[0042] Based on the resource data of the cloud database, a device use analysis model is established to analyze the influence of different maintenance times and production cycles on the energy consumption of production equipment operation.
[0043] Specifically, the method steps for analyzing the influence of different maintenance times and production cycles on the energy consumption of production equipment operation are as follows:
[0044] S1, retrieve resource data from the cloud database for analysis, and obtain the maintenance times of the production equipment in each resource data and production cycle times , x represents the amount of resource data retrieved and analyzed; the production quantity and energy consumption value of the production equipment in each resource data in different production cycles are determined, denoted as set A and set B;
[0045] It should be noted that the training data of the device use analysis model is obtained by analyzing the resource data in the cloud database; wherein, ; respectively represent the production quantity set of each production equipment in different production cycles; ; respectively represent the energy consumption value set of each production equipment in different production cycles; ; represents the production quantity set of the i-th production equipment in different production cycles; respectively represent the production quantity of the i-th production equipment in different production cycles; ; represents the energy consumption value set of the i-th production equipment in different production cycles; respectively represent the energy consumption value of the i-th production equipment in different production cycles;
[0046] S2, establish a device use analysis model, according to the production quantity and energy consumption value of the production equipment in the corresponding production cycle, take the energy consumption value s of the production equipment as the dependent variable, take the production quantity h of the production equipment product, the maintenance times n and the production cycle times m as the independent variables, analyze the influence of different maintenance times and production cycles on the energy consumption of production equipment operation, and fit the relationship curve about s, h, n and m:
[0047] ;
[0048] wherein, represents the production quantity of the production equipment in the j-th production cycle; represents the influence degree of the production cycle times on the energy consumption of production equipment operation; represents the influence degree of the production quantity of the product on the energy consumption of production equipment operation; represents the degree of influence of the number of maintenance times on the energy consumption of the production equipment operation; b represents the proportion of the influence of the production equipment maintenance on the operation energy consumption; is an error term, representing the energy consumption of the production equipment during start-stop processes;
[0049] S3, the analysis result of the resource data in S1 is substituted into the relationship curve in S2 as a training parameter, and the relationship curve is fitted according to the least square method.
[0050] It should be noted that by establishing the equipment usage analysis model, the is taken as the training parameter of n, the is taken as the training parameter of m, the is taken as the training parameter of h, and the total production quantity of the product is determined according to the production cycle number and the production quantity of the product under each production cycle number , the is taken as the training parameter of s, substituted into the relationship curve in S2 for fitting, and the values of and are determined, thereby providing data support for the generation of the operation scheme and improving the scientificity and accuracy of the enterprise resource data analysis.
[0051] The order production scheduling in the enterprise is associated, the production task of the product is determined according to the order production scheduling, and the product quantity and production cycle that need to be produced are obtained.
[0052] It should be noted that the production task includes the product quantity and production cycle that need to be produced; and the production task is planned in time sequence according to the order time stamp of the order production scheduling.
[0053] The real-time resource data of the production equipment is analyzed, the operation scheme of the production equipment is generated according to the production task and the established equipment usage analysis model, and the operation scheme is pushed to the management personnel.
[0054] Specifically, the method steps for generating the operation scheme of the production equipment according to the production task and the established equipment usage analysis model are as follows:
[0055] S10, according to the real-time resource data of the production equipment, the maintenance number and the production cycle number of each production equipment are determined respectively, y represents the current production equipment quantity of the enterprise, and the production quantity and energy consumption value of the product of each production equipment in different production cycles are determined respectively; according to the production task of the product, the product quantity Z and the production cycle T that need to be produced at present are determined;
[0056] S20, according to the production task and the established equipment usage analysis model, the operation scheme of the production equipment is generated, and the product quantity that each production equipment needs to produce is obtained. and the number of maintenance operations after each production equipment completes production of the product , so that the condition formula is satisfied:
[0057] ;
[0058] wherein E represents an index value for evaluating energy consumption; represents the number of products that the gth production equipment needs to produce; represents the number of production cycles of the current gth production equipment; represents the number of products produced by the gth production equipment in the jth production cycle; represents the number of maintenance operations after the gth production equipment completes production of the product; represents the number of maintenance operations of the current gth production equipment; is a positive integer.
[0059] It should be noted that, according to the production task and the established equipment use analysis model, the number of products that each production equipment needs to produce is determined, so that the enterprise can complete the production task of the product at the lowest energy consumption, thereby reducing the production cost and reducing the waste of production resources. At the same time, the maintenance of the production equipment is dynamically adjusted according to the production task, which enhances the management efficiency of the equipment production and reduces the risk of production efficiency reduction and equipment failure caused by equipment maintenance.
[0060] Further, the management personnel controls the production equipment according to the work plan, determines the number of products that each production equipment needs to produce according to , and maintains the production equipment according to : when , the production equipment does not need to be maintained; when there is , the maintenance operation is performed before the gth production equipment is started.
[0061] In another embodiment, the energy conversion efficiency early warning value K of the production equipment is determined to judge whether the production equipment needs to be maintained, and the method is as follows: according to the number of products produced by the current production equipment in the production cycle and the energy consumption value , the energy conversion efficiency of the current production equipment is obtained, and and are analyzed; when , the production equipment does not need to be maintained, and the energy conversion efficiency of the production equipment continues to be monitored; when , the production equipment needs to be maintained, and the corresponding number of the production equipment that needs to be maintained is pushed to the management personnel.
[0062] Please refer to Figure 1In the second embodiment: an intelligent platform management system for enterprise resource data analysis is provided, the system comprises a data acquisition module, a cloud database, a model analysis module, a production order association module, a job plan module and an intelligent platform;
[0063] The data acquisition module is configured to acquire resource data in the production process of a plurality of production devices in an enterprise; the resource data includes the number of maintenance times, the number of production cycles, the production quantity of products in different production cycles and energy consumption of the production devices; the production cycle represents a time period from the start to the shutdown of the production device; and the acquired resource data is sent to the cloud database;
[0064] The cloud database is configured to store the resource data;
[0065] The model analysis module is configured to establish a device usage analysis model based on the resource data of the cloud database, and analyze the influence of different maintenance times and production cycles on the energy consumption of the production device;
[0066] The production order association module is configured to associate order production scheduling in the enterprise, determine the production task of the product according to the order production scheduling, obtain the production quantity and production cycle of the product, and send them to the job plan module;
[0067] The job plan module is configured to analyze the real-time resource data of the production device, generate a job plan for the production device according to the production task and the established device usage analysis model, and send the job plan to the intelligent platform;
[0068] The intelligent platform is configured to push the job plan to the management personnel.
[0069] Further, the management personnel can view the resource data stored in the cloud database, control the start and stop of the production device, and set the production quantity of the product required by the production device through the intelligent platform.
[0070] Further, an early warning module is provided to determine an energy conversion efficiency warning value of the production device, and monitor the production device according to the energy conversion efficiency warning value to determine whether the production device needs to be maintained; if the production device does not need to be maintained, the monitoring continues; if the production device needs to be maintained, the corresponding number of the production device that needs to be maintained is pushed to the management personnel.
[0071] It will be apparent to those skilled in the art that the application is not limited to the details of the above-exemplified embodiments and that the present application can be implemented in other particular forms without departing from the spirit or essential characteristics of the present application. The embodiments should therefore be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the above description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. No reference signs in the claims should be considered as limiting the scope of the claims with respect to the figures of the patent document.
Claims
1. An intelligent platform management method for enterprise resource data analysis, characterized in that: include: Establish a cloud database to collect and store resource data from several production devices within the enterprise during the production process; the resource data includes the number of maintenance operations, the number of production cycles, the production quantity of products within different production cycles, and energy consumption; the production cycle refers to the time period from the start-up to the shutdown of a production device. Based on resource data from a cloud database, an equipment usage analysis model is established to analyze the impact of different maintenance frequency and production cycle on the energy consumption of production equipment. The steps for analyzing the impact of different maintenance frequency and production cycles on the energy consumption of production equipment are as follows: S1. Retrieve resource data from the cloud database for analysis to obtain the maintenance frequency of production equipment for each piece of resource data. and number of production cycles x represents the amount of resource data retrieved for analysis; Determine the production quantity and energy consumption of each production equipment in different production cycles for each resource data point, and denot them as set A and set B; S2. Establish an equipment usage analysis model. Based on the production quantity and energy consumption value of the production equipment within the corresponding production cycle, take the energy consumption value s of the production equipment as the dependent variable, and the production quantity h, maintenance frequency n, and production cycle number m as independent variables. Analyze the impact of different maintenance frequencies and production cycles on the energy consumption of the production equipment, and fit the relationship curves of s, h, n, and m: ； in, This represents the quantity of products produced by the production equipment in the j-th production cycle. This indicates the degree of impact of the number of production cycles on the energy consumption of production equipment. This indicates the degree to which the production quantity of a product affects the energy consumption of the production equipment. b represents the degree of impact of maintenance frequency on the energy consumption of production equipment operation; b represents the percentage of the impact of production equipment maintenance on the energy consumption of operation. This is the error term, representing the energy consumption during the start-up and shutdown of production equipment; S3. Substitute the analysis results of the resource data in S1 into the relationship curve in S2 as training parameters, and fit the relationship curve according to the least squares method. Within the affiliated enterprises, order production scheduling is used to determine the production tasks of products, thereby obtaining the quantity of products to be produced and the production cycle. Analyze real-time resource data of production equipment, generate operation plans for production equipment based on production tasks and established equipment usage analysis models, and push the operation plans to management personnel; Specifically, the system records the timestamps for the start-up and shutdown of the production equipment to determine different production cycles. It also records the production quantity and energy consumption within each production cycle, and determines the average production cycle for each product based on the timestamps. When maintaining production equipment, record the timestamp of the maintenance. Based on the timestamp, determine the average maintenance cycle of the production equipment. All of the production equipment has the same specifications and models, and all of them produce the same product.
2. The intelligent platform management method for enterprise resource data analysis according to claim 1, characterized in that: The steps for generating work plans for production equipment based on production tasks and the established equipment usage analysis model are as follows: S10. Based on the real-time resource data of the production equipment, determine the maintenance frequency of each piece of production equipment. and number of production cycles y represents the current number of production equipment in the enterprise, and the production quantity and energy consumption of each production equipment in different production cycles are determined respectively; based on the production task of the product, the current production quantity Z and production cycle T are determined; S20. Based on the production tasks and the established equipment usage analysis model, generate the operation plan for the production equipment and obtain the quantity of products that each production equipment needs to produce. The number of maintenance operations performed on each production piece of equipment after product production is completed. The formula that satisfies the condition is: ； Where E represents the indicator value used to assess energy consumption; This represents the quantity of products that the g-th production equipment needs to produce. This represents the number of production cycles for the current g-th production equipment; This represents the quantity of products produced by the g-th production equipment in the j-th production cycle. This represents the number of maintenance cycles performed on the g-th production equipment after it has completed product production. This indicates the number of maintenance cycles for the current g-th production equipment; Take a positive integer.
3. The intelligent platform management method for enterprise resource data analysis according to claim 2, characterized in that: Managers control production equipment according to the work plan. Determine the quantity of products that each production unit needs to produce, and based on... To maintain production equipment: When When there is no need for maintenance of production equipment; when there is Maintenance operations are performed before the g-th production equipment is started.
4. The intelligent platform management method for enterprise resource data analysis according to claim 1, characterized in that: To determine whether maintenance is needed for production equipment, the energy conversion efficiency warning value K is determined based on the production quantity of the products within the current production cycle. and energy consumption value To obtain the energy conversion efficiency of the current production equipment ,right and Perform analysis; when At this time, no maintenance of the production equipment is required, but the energy conversion efficiency of the production equipment continues to be monitored; when When maintenance is required on production equipment, the corresponding equipment number should be sent to the management personnel.
5. An intelligent platform management system for enterprise resource data analysis, employing the intelligent platform management method for enterprise resource data analysis as described in any one of claims 1-4, characterized in that: The system includes a data acquisition module, a cloud database, a model analysis module, a production order association module, a work plan planning module, and an intelligent platform; The data acquisition module is used to collect resource data during the production process of several production equipment within the enterprise. The resource data includes the number of maintenance operations of the production equipment, the number of production cycles, the production quantity of products in different production cycles, and energy consumption. The production cycle represents the time period from the start-up to the shutdown of the production equipment. The collected resource data is then sent to a cloud database. The cloud database is used to store resource data; The model analysis module is used to establish an equipment usage analysis model based on resource data from a cloud database, and to analyze the impact of different maintenance times and production cycles on the energy consumption of production equipment. The production order association module is used to associate production schedules within the enterprise, determine the production tasks of products based on the production schedules, obtain the quantity of products to be produced and the production cycle, and send them to the work plan planning module. The operation plan planning module is used to analyze the real-time resource data of production equipment, generate operation plans for production equipment based on production tasks and the established equipment usage analysis model, and send the operation plans to the intelligent platform. The intelligent platform is used to push work plans to managers.
6. The intelligent platform management system for enterprise resource data analysis according to claim 5, characterized in that: Managers can use the intelligent platform to view resource data stored in the cloud database, control the start and stop of production equipment, and set the quantity of products that the production equipment needs to produce.
7. The intelligent platform management system for enterprise resource data analysis according to claim 5, characterized in that: The system provides an early warning module to determine the energy conversion efficiency warning value of the production equipment. Based on the energy conversion efficiency warning value, the system monitors the production equipment to determine whether maintenance is required. If maintenance is not required, monitoring continues. If maintenance is required, the system sends the corresponding equipment number to the management personnel.
Citation Information
Patent Citations
Industrial enterprise electrical intelligent management system and method based on artificial intelligence
CN117811219A