Waterproof material production intelligent management and control method and system based on big data statistics

Abstract

The invention discloses a waterproof material production intelligent management and control method and system based on big data statistics, and relates to the field of waterproof material production intelligent management and control, and the method comprises the steps: building a production and storage dynamic balance model, and screening out an optimal production and storage scheme; dividing waterproof material production units, and respectively screening out the optimal production mode of each unit; evaluating the importance of each unit in the whole production link, and respectively establishing an important offset coefficient of each unit; an intelligent production comprehensive evaluation model is established, and a production mode with the optimal comprehensive evaluation is screened out; and a man-machine interaction platform is established and used for collecting, storing and displaying various data in the current production mode, analyzing the actual process condition of each unit and optimizing the production mode of each unit in real time. The method has the advantages that the relation among the units for producing the waterproof material is effectively improved, the optimal production mode is comprehensively evaluated, and the production efficiency of the waterproof material is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management and control of waterproof material production, and specifically to a method and system for intelligent management and control of waterproof material production based on big data statistics. Background Art

[0002] By improving the intelligent management and control of waterproof material production, it will greatly promote the efficient development of the intelligent industry in the building materials industry. The production of waterproof materials involves multiple parts, and the connection between each part lacks unified rules and standards, which can easily lead to data islands and the efficiency of intelligent management and control of waterproof material production. Therefore, improving the intelligent management and control capabilities of waterproof material production will help enhance the efficiency and stability of waterproof material production.

[0003] The existing technology mainly focuses on improving the technical quality of a single part, and lacks unified rules and standards for each part, which can easily lead to data islands and the efficiency of intelligent management and control of waterproof material production, resulting in low compatibility of waterproof material production information in various parts, which can easily lead to waste of resources and loss of time, and is not conducive to the long-term development of intelligent production of waterproof materials. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, a method and system for intelligent management and control of waterproof material production based on big data statistics are provided. The technical solution solves the problem raised in the above-mentioned background technology that there is a lack of unified rules and standards for each part, which easily leads to data island phenomena and the efficiency of intelligent control of waterproof material production, resulting in low compatibility of waterproof material production information of each part, which easily leads to waste of resources and loss of time, and is not conducive to the long-term development of intelligent production of waterproof materials.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A method for intelligent management and control of waterproof material production based on big data statistics, characterized by comprising: According to production and storage requirements, a dynamic balance model of production and storage is established to select the optimal production and storage solution; According to the actual production situation, the waterproof material production units are divided, and the optimal production mode of each unit is selected based on the genetic algorithm; Based on big data statistics, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; According to the optimal production and storage scheme, the important deviation coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to select the production mode with the best comprehensive evaluation; Establish a human-machine interactive platform to collect, store and display various data under the current production mode, analyze the actual progress of each unit, and optimize the production mode of each unit in real time; According to the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to select the production mode with the best comprehensive evaluation, which specifically includes: Based on the units produced by the waterproof material, each unit is defined as an independent island, and the number of islands is determined; According to the optimal production mode chain of each unit, define the transfer method and frequency of the optimal production mode of each unit, that is, the update cycle of the waterproof material production data of each unit; According to the production mode of waterproof materials, the connection topology between islands is formulated, and a ring topology structure is generally adopted; According to the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, a comprehensive evaluation model of intelligent production is established based on the multi-island genetic algorithm; According to the intelligent production comprehensive evaluation model, by updating the parameter values, the production mode with the best comprehensive evaluation is screened out, and a production list of the production mode with the best comprehensive evaluation is established; According to the production list of the optimal production mode of comprehensive evaluation, establish the implementation plan of waterproof material production, and arrange production tasks according to the implementation plan of waterproof material production; According to the actual situation of waterproof material production, based on the intelligent production comprehensive evaluation model, real-time monitoring and updating of optimized production implementation plans and production tasks are carried out.

[0006] Preferably, establishing a production and storage dynamic balance model according to production and storage requirements and selecting the optimal production and storage solution specifically includes: According to market demand and customer demand, combined with the actual situation of waterproof material production, establish a staged list of waterproof material production; Based on the staged list of waterproof material production, construct expressions for the production cost and storage cost of waterproof materials at each stage; According to the staged production list of waterproof materials, establish the staged production state transfer equation of waterproof materials; According to the expressions of production cost and storage cost of waterproof materials at each stage, the staged production index function of waterproof materials is constructed; According to the staged production index function of waterproof materials, the initial inventory of the first stage to the The inventory at the end of the period is The minimum total cost is the optimal indicator function; a dynamic balance model of production and storage is established to select the optimal production and storage plan according to the actual production demand of waterproof materials; The production cost of waterproof materials at each stage is expressed as follows: In the formula, For the The total cost of producing waterproofing materials at the end of the stage, It is the fixed consumption cost when waterproof materials are not produced. For the The quantity of waterproof materials produced at the end of the phase, For the additional consumption costs incurred in the production of waterproof materials, The cost of producing each unit of waterproofing material; The storage cost expression of waterproof materials in each stage is: In the formula, For the Total cost of waterproofing materials stored at the end of the period, The cost of storing each unit of waterproofing material. For the Inventory of waterproofing materials at the end of the phase; The staged production state transfer equation of the waterproof material is: In the formula, For the The inventory of waterproofing materials at the end of the period, For the The demand for waterproofing materials at the end of the period; The staged production index function of the waterproof material is: In the formula, For the Production indicators of waterproof materials at the end of the stage; The optimal index function is: In the formula, From the initial inventory in stage 1 to The inventory at the end of the period is The minimum total cost is From the initial inventory in stage 1 to The inventory at the end of the period is The minimum total cost is For the Waterproof material inventory at the end of the period In the state of The quantity of waterproof materials produced at the end of the phase , we must choose from a set of feasible decisions Preferably, the method of dividing the waterproof material production units according to the actual production situation and selecting the optimal production mode of each unit based on the genetic algorithm specifically includes: According to the actual production steps of waterproof materials, the production steps of waterproof materials are divided into several units and numbered; According to the historical data of the production of each unit waterproof material step, determine the production information of different production methods of each unit waterproof material step, and establish a production list of each unit waterproof material step, where the different production methods of each unit waterproof material step include: manpower, material resources, material loss, production time, production efficiency, accident rate and quality ratio; According to the production list of each unit waterproof material step, determine the optimal adaptability function for the production of each unit waterproof material step; According to the optimal adaptability function of each unit waterproof material step, select The production mode with the smallest fitness value for the optimal production of waterproof materials is taken as the parent population; According to the ratio of the optimal fitness value of each waterproof material in the parent population to the overall value, select The population with the largest ratio is taken as the next generation population; According to the generated sub-generation population, through crossover and mutation, obtain A new sub-generation population is created as the third generation population; According to the parent population and the third generation population, re-screen The production mode with the smallest fitness value for the production of the best waterproof material is used as the optimal production mode chain for each unit; Repeat the above steps in sequence, through continuous iteration, until the optimal value in the optimal production mode chain of each unit is screened out, and the optimal production mode chain data of each unit is established; The optimal adaptability function for each unit waterproof material step is: In the formula, Produce the optimal fitness value for each unit waterproofing step, is the equilibrium constant, Waterproofing material step for each unit The parameters of the production method, Waterproofing material step for each unit production method, is the correlation factor of the production method of each unit waterproof material step, The number of production methods of waterproof material steps of each unit. Preferably, the importance of each unit in the entire production process is evaluated based on big data statistics, and the important deviation coefficients of each unit are established respectively, specifically including: Based on big data statistics, according to production standards and quality assessment, determine the benchmark production indicators of each unit waterproofing material step; Determine the current waterproof material production index based on the actual production situation of each unit waterproof material step; According to the benchmark production index of each unit's waterproof material step and the current waterproof material production index, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; The important offset coefficient expressions of each unit are: In the formula, For the The important offset coefficient of each unit is For the Current waterproof material production index of units, For the Benchmark production indicators for waterproof materials per unit, Preferably, the establishment of a human-computer interaction platform for collecting, storing and displaying various data under the current production mode, analyzing the actual progress of each unit, and optimizing the production mode of each unit in real time specifically includes: Establish a human-machine interactive platform to collect, store and display various data under the current production mode; Based on the human-computer interaction platform, build the operating environment of the intelligent production comprehensive evaluation model to ensure the normal operation of the intelligent production comprehensive evaluation model; Based on the human-computer interaction platform, the optimal production mode, production implementation plan and production tasks of waterproof materials can be displayed and viewed through a controllable interface; Based on the human-computer interaction platform, it is used to update and optimize the parameters of the intelligent production comprehensive evaluation model, and periodically monitor the production status of waterproof materials.

[0007] Furthermore, this solution proposes a waterproof material production intelligent management and control system based on big data statistics, which is used to implement the above-mentioned waterproof material production intelligent management and control method based on big data statistics, including: The optimal production mode module is used to establish a production and storage dynamic balance model according to production and storage requirements, and select the optimal production and storage plan; divide the waterproof material production units according to the actual production situation, and select the optimal production mode of each unit based on the genetic algorithm; evaluate the importance of each unit in the entire production process based on big data statistics, and establish the important deviation coefficient of each unit; establish an intelligent production comprehensive evaluation model based on the optimal production and storage plan, the important deviation coefficient of each unit and the optimal production mode of each unit, and select the production mode with the best comprehensive evaluation; The human-computer interaction platform module is used to establish a human-computer interaction platform for collecting, storing and displaying various data under the current production mode, analyzing the actual progress of each unit, and optimizing the production mode of each unit in real time.

[0008] Preferably, the optimal production mode module specifically includes: An optimal production and storage unit, which is used to establish a production and storage dynamic balance model according to production and storage requirements and screen out the optimal production and storage solution; The optimal production mode unit is used to divide the waterproof material production units according to the actual production situation, and screen out the optimal production mode of each unit based on the genetic algorithm; An important shift coefficient unit, which is used to evaluate the importance of each unit in the entire production process based on big data statistics, and establish an important shift coefficient for each unit; The comprehensive evaluation unit is used to establish an intelligent production comprehensive evaluation model according to the optimal production and storage plan, the important offset coefficients of each unit and the optimal production mode of each unit, and screen out the production mode with the best comprehensive evaluation.

[0009] Compared with the prior art, the present invention has the following beneficial effects: By analyzing the cost relationship between production and storage, a dynamic balance model of production and storage is established, and according to the actual production needs of waterproof materials, the optimal production and storage plan is screened out, so as to determine the optimal solution for production and storage. Secondly, according to the actual production steps of waterproof materials, the various steps of waterproof material production are divided into several units. Based on the genetic algorithm, the production mode of each unit of waterproof material steps is evaluated respectively, and the optimal production mode of each unit is screened out respectively. Furthermore, based on big data statistics, the importance of each unit in the entire production link is evaluated, and the important offset coefficient of each unit is established respectively, so as to ensure the accuracy of the evaluation of each unit in the entire production process during the comprehensive evaluation. Finally, based on the multi-island genetic algorithm, combined with the optimal production and storage plan, the important offset coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to complete the optimal comprehensive evaluation of the waterproof material production mode, effectively improve the connection between the various units of waterproof material production, and greatly improve the production efficiency of waterproof materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a flow chart of a method for intelligent management and control of waterproof material production based on big data statistics of the present invention; Figure 2 According to the production and storage requirements of the present invention, a production and storage dynamic balance model is established to screen out the optimal production and storage solution flow chart; Figure 3 According to the actual production situation of the present invention, each unit of waterproof material production is divided, and based on the genetic algorithm, the optimal production mode flow chart of each unit is screened out; Figure 4The invention evaluates the importance of each unit in the entire production process based on big data statistics, and establishes a flow chart of important deviation coefficients of each unit; Figure 5 According to the optimal production and storage scheme, the important offset coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to screen out a production mode flow chart with the best comprehensive evaluation. DETAILED DESCRIPTION

[0011] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0012] Reference Figure 1 As shown, a method for intelligent management and control of waterproof material production based on big data statistics includes: According to production and storage requirements, a dynamic balance model of production and storage is established to select the optimal production and storage solution; According to the actual production situation, the waterproof material production units are divided, and the optimal production mode of each unit is selected based on the genetic algorithm; Based on big data statistics, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; According to the optimal production and storage scheme, the important deviation coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to select the production mode with the best comprehensive evaluation; Establish a human-computer interaction platform to collect, store and display various data under the current production mode, analyze the actual progress of each unit, and optimize the production mode of each unit in real time.

[0013] It can be explained that this scheme establishes a dynamic balance model of production and storage by analyzing the cost relationship between production and storage, and selects the optimal production and storage scheme according to the actual production demand of waterproof materials, thereby determining the optimal solution for the production and storage part. Secondly, according to the actual production steps of waterproof materials, the various steps of waterproof material production are divided into several units. Based on the genetic algorithm, the production mode of each unit of waterproof material steps is evaluated respectively, and the optimal production mode of each unit is selected respectively. Furthermore, based on big data statistics, the importance of each unit in the entire production link is evaluated, and the important offset coefficient of each unit is established respectively, so as to ensure the accuracy of the evaluation of each unit in the entire production process during the comprehensive evaluation. Finally, based on the multi-island genetic algorithm, combined with the optimal production and storage scheme, the important offset coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to complete the optimal comprehensive evaluation of the waterproof material production mode, effectively improve the connection between the various units of waterproof material production, and greatly improve the production efficiency of waterproof materials.

[0014] Reference Figure 2 As shown, according to the production and storage requirements, a production and storage dynamic balance model is established to select the optimal production and storage solution, which specifically includes: According to market demand and customer demand, combined with the actual situation of waterproof material production, establish a staged list of waterproof material production; Based on the staged list of waterproof material production, construct expressions for the production cost and storage cost of waterproof materials at each stage; According to the staged production list of waterproof materials, establish the staged production state transfer equation of waterproof materials; According to the expressions of production cost and storage cost of waterproof materials at each stage, the staged production index function of waterproof materials is constructed; According to the staged production index function of waterproof materials, the initial inventory of the first stage to the The inventory at the end of the period is The minimum total cost is the optimal indicator function; Establish a dynamic balance model for production and storage, and select the optimal production and storage plan based on the actual production needs of waterproof materials; The production cost of waterproof materials at each stage is expressed as follows: In the formula, For the The total cost of producing waterproofing materials at the end of the stage, It is the fixed consumption cost when waterproof materials are not produced. For the The quantity of waterproof materials produced at the end of the phase, For the additional consumption costs incurred in the production of waterproof materials, The cost of producing each unit of waterproofing material; The storage cost expression of waterproof materials in each stage is: In the formula, For the Total cost of waterproofing materials stored at the end of the period, The cost of storing each unit of waterproofing material. For the Inventory of waterproofing materials at the end of the phase; The staged production state transfer equation of the waterproof material is: In the formula, For the The inventory of waterproofing materials at the end of the period, For the The demand for waterproofing materials at the end of the period; The staged production index function of the waterproof material is: In the formula, For the Production indicators of waterproof materials at the end of the stage; The optimal index function is: In the formula, From the initial inventory in stage 1 to the The inventory at the end of the period is The minimum total cost is From the initial inventory in stage 1 to the The inventory at the end of the period is The minimum total cost is For the Waterproof material inventory at the end of the period In the state of The quantity of waterproof materials produced at the end of the phase , we must choose from a set of feasible decisions It can be explained that ensuring the dynamic balance between the production and storage of waterproof materials and ensuring the minimum cost of waterproof materials in the production and storage process is one of the important purposes of intelligent management and control of waterproof material production. Therefore, when evaluating the production mode of waterproof materials, it is necessary to give priority to establishing the dynamic relationship between the production and storage of waterproof materials and first screen out the optimal production and storage plan. This plan analyzes market demand and customer demand, establishes a dynamic balance model of production and storage according to the production dynamic planning algorithm, and calculates the optimal production and storage work plan in a forward manner, thereby effectively improving the utilization rate of production resources.

[0015] Reference Figure 3 As shown, according to the actual production situation, the waterproof material production units are divided, and based on the genetic algorithm, the optimal production mode of each unit is screened out, which specifically includes: According to the actual production steps of waterproof materials, the production steps of waterproof materials are divided into several units and numbered; According to the historical data of the production of each unit waterproof material step, determine the production information of different production methods of each unit waterproof material step, and establish a production list of each unit waterproof material step, where the different production methods of each unit waterproof material step include: manpower, material resources, material loss, production time, production efficiency, accident rate and quality ratio; According to the production list of each unit waterproof material step, determine the optimal adaptability function for the production of each unit waterproof material step; According to the optimal adaptability function of each unit waterproof material step, select The production mode with the smallest fitness value for the optimal production of waterproof materials is taken as the parent population; According to the ratio of the optimal fitness value of each waterproof material in the parent population to the overall value, select The population with the largest ratio is taken as the next generation population; According to the generated sub-generation population, through crossover and mutation, obtain A new sub-generation population is created as the third generation population; According to the parent population and the third generation population, re-screen The production mode with the smallest fitness value for the production of the best waterproof material is used as the optimal production mode chain for each unit; Repeat the above steps in sequence, through continuous iteration, until the optimal value in the optimal production mode chain of each unit is screened out, and the optimal production mode chain data of each unit is established; The optimal adaptability function for each unit waterproof material step is: In the formula, Produce the optimal fitness value for each unit waterproofing step, is the equilibrium constant, Waterproofing material step for each unit The parameters of the production method, Waterproofing material step for each unit production method, is the correlation factor of the production method of each unit waterproof material step, is the number of production methods of each unit waterproof material step. It can be explained that in the waterproof material production process, there are multiple production parts, and each production part plays a different role. This scheme uses a genetic algorithm to analyze the production mode of each production part separately, and through gene inheritance, in the gene iteration process, retain the optimal gene population, so as to screen out the optimal production mode of waterproof materials. Among them, due to the influence of different production methods of each unit waterproof material step, the final production results of waterproof materials will be different. Therefore, according to the historical data of the production of each unit waterproof material step, the different production methods of each unit waterproof material step are analyzed, and the optimal fitness function of each unit waterproof material step is determined, so that the n production modes with the smallest optimal fitness value of waterproof material production are used as the parent population, thereby determining the first generation gene population.

[0016] Reference Figure 4 As shown, based on big data statistics, the importance of each unit in the entire production process is evaluated, and the important deviation coefficients of each unit are established, which specifically include: Based on big data statistics, according to production standards and quality assessment, determine the benchmark production indicators of each unit waterproofing material step; Determine the current waterproof material production index based on the actual production situation of each unit waterproof material step; According to the benchmark production index of each unit's waterproof material step and the current waterproof material production index, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; The important offset coefficient expressions of each unit are: In the formula, For the The important offset coefficient of each unit is For the Current waterproof material production index of units, For the Benchmark production indicators for waterproof materials per unit, is the number of production methods of each unit waterproof material step. It can be explained that although there are multiple production parts in the waterproof material production process, and each production part plays a different role, the importance of each production part in the entire waterproof material production process is different. When comprehensively evaluating the entire production mode, it is necessary to consider the importance of each unit production part to the entire production mode to ensure the accuracy of the final comprehensive production evaluation. This scheme is based on big data statistics. According to production standards and quality evaluation, the benchmark production indicators of each unit waterproof material step are determined, and according to the actual production situation of each unit waterproof material step, the current waterproof material production index is determined. The two are combined to determine the important deviation coefficient of each unit. When conducting a comprehensive evaluation of the entire production, the accuracy of the evaluation of each unit in the entire production process can be effectively improved.

[0017] Reference Figure 5 As shown, according to the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to screen out the optimal production mode by comprehensive evaluation, specifically including: Based on the units produced by the waterproof material, each unit is defined as an independent island, and the number of islands is determined; According to the optimal production mode chain of each unit, define the transfer method and frequency of the optimal production mode of each unit, that is, the update cycle of the waterproof material production data of each unit; According to the production mode of waterproof materials, the connection topology between islands is formulated, and a ring topology structure is generally adopted; According to the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, a comprehensive evaluation model of intelligent production is established based on the multi-island genetic algorithm; According to the intelligent production comprehensive evaluation model, by updating the parameter values, the production mode with the best comprehensive evaluation is screened out, and a production list of the production mode with the best comprehensive evaluation is established; According to the production list of the optimal production mode of comprehensive evaluation, establish the implementation plan of waterproof material production, and arrange production tasks according to the implementation plan of waterproof material production; According to the actual situation of waterproof material production, based on the intelligent production comprehensive evaluation model, real-time monitoring and updating of optimized production implementation plans and production tasks are carried out.

[0018] It can be explained that since waterproof materials involve multiple parts in the production process, if there is a lack of unified rules and standards to associate each part, it is easy to cause data islands, resulting in a decrease in the production efficiency of waterproof materials. This solution uses a multi-island genetic algorithm, combined with the optimal production and storage plan, the important offset coefficients of each unit and the optimal production mode of each unit, to establish an intelligent production comprehensive evaluation model. By updating the parameter values ​​of the intelligent production comprehensive evaluation model, the optimal production mode is screened out for comprehensive evaluation, and a production list of the optimal production mode is established to generate an implementation plan for waterproof material production, and based on this, specific tasks for waterproof material production are arranged. According to the actual situation of waterproof material production, based on the intelligent production comprehensive evaluation model, the production implementation plan and production tasks are monitored and updated in real time. Furthermore, based on the same inventive concept as the above-mentioned intelligent management and control method for waterproof material production based on big data statistics, this solution proposes an intelligent management and control system for waterproof material production based on big data statistics, including: The optimal production mode module is used to establish a production and storage dynamic balance model according to production and storage requirements, and select the optimal production and storage plan; divide the waterproof material production units according to the actual production situation, and select the optimal production mode of each unit based on the genetic algorithm; evaluate the importance of each unit in the entire production process based on big data statistics, and establish the important deviation coefficient of each unit; establish an intelligent production comprehensive evaluation model based on the optimal production and storage plan, the important deviation coefficient of each unit and the optimal production mode of each unit, and select the production mode with the best comprehensive evaluation; A human-machine interaction platform module, which is used to establish a human-machine interaction platform for collecting, storing and displaying various data under the current production mode, analyzing the actual progress of each unit, and optimizing the production mode of each unit in real time; The optimal production mode module includes: An optimal production and storage unit, which is used to establish a production and storage dynamic balance model according to production and storage requirements and screen out the optimal production and storage solution; The optimal production mode unit is used to divide the waterproof material production units according to the actual production situation, and screen out the optimal production mode of each unit based on the genetic algorithm; An important shift coefficient unit, which is used to evaluate the importance of each unit in the entire production process based on big data statistics, and establish an important shift coefficient for each unit; The comprehensive evaluation unit is used to establish an intelligent production comprehensive evaluation model according to the optimal production and storage plan, the important offset coefficients of each unit and the optimal production mode of each unit, and screen out the production mode with the best comprehensive evaluation.

[0019] In summary, the advantages of the present invention are: effectively improving the connection between various units in the production of waterproof materials, comprehensively evaluating the optimal production mode, and effectively improving the production efficiency of waterproof materials.

[0020] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for intelligent management and control of waterproof material production based on big data statistics, characterized in that: include: According to production and storage requirements, a dynamic balance model of production and storage is established to select the optimal production and storage solution; According to the actual production situation, the waterproof material production units are divided, and the optimal production mode of each unit is selected based on the genetic algorithm; Based on big data statistics, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; According to the optimal production and storage scheme, the important deviation coefficient of each unit and the optimal production mode of each unit, an intelligent production comprehensive evaluation model is established to select the production mode with the best comprehensive evaluation; Establish a human-machine interactive platform to collect, store and display various data under the current production mode, analyze the actual progress of each unit, and optimize the production mode of each unit in real time: The above-mentioned method of establishing an intelligent production comprehensive evaluation model based on the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, and selecting the production mode with the best comprehensive evaluation specifically includes: Based on the units produced by the waterproof material, each unit is defined as an independent island, and the number of islands is determined; According to the optimal production mode chain of each unit, define the transfer method and frequency of the optimal production mode of each unit, that is, the update cycle of the waterproof material production data of each unit; According to the production mode of waterproof materials, the connection topology between islands is formulated, and a ring topology structure is generally adopted; According to the optimal production and storage scheme, the important offset coefficients of each unit and the optimal production mode of each unit, a comprehensive evaluation model of intelligent production is established based on the multi-island genetic algorithm; According to the intelligent production comprehensive evaluation model, by updating the parameter values, the production mode with the best comprehensive evaluation is screened out, and a production list of the production mode with the best comprehensive evaluation is established; According to the production list of the optimal production mode of comprehensive evaluation, establish the implementation plan of waterproof material production, and arrange production tasks according to the implementation plan of waterproof material production; According to the actual situation of waterproof material production, based on the intelligent production comprehensive evaluation model, real-time monitoring and updating of optimized production implementation plans and production tasks are carried out.

2. According to claim 1, a method for intelligent management and control of waterproof material production based on big data statistics is characterized in that: The establishment of a production and storage dynamic balance model based on production and storage requirements and the selection of the optimal production and storage solution specifically include: According to market demand and customer demand, combined with the actual situation of waterproof material production, establish a staged list of waterproof material production; Based on the staged list of waterproof material production, construct expressions for the production cost and storage cost of waterproof materials at each stage; According to the staged production list of waterproof materials, establish the staged production state transfer equation of waterproof materials; According to the expressions of production cost and storage cost of waterproof materials at each stage, the staged production index function of waterproof materials is constructed; According to the staged production index function of waterproof materials, the initial inventory of the first stage to the The inventory at the end of the period is The minimum total cost is the optimal indicator function; Establish a dynamic balance model for production and storage, and select the optimal production and storage plan based on the actual production needs of waterproof materials; The production cost of waterproof materials at each stage is expressed as follows: In the formula, For the The total cost of producing waterproofing materials at the end of the stage, It is the fixed consumption cost when waterproof materials are not produced. For the The quantity of waterproof materials produced at the end of the phase, For the additional consumption costs incurred in the production of waterproof materials, The cost of producing each unit of waterproofing material; The storage cost expression of waterproof materials in each stage is: In the formula, For the Total cost of waterproofing materials stored at the end of the period, The cost of storing each unit of waterproofing material. For the Inventory of waterproofing materials at the end of the phase; The staged production state transfer equation of the waterproof material is: In the formula, For the The inventory of waterproofing materials at the end of the period, For the The demand for waterproofing materials at the end of the period; The staged production index function of the waterproof material is: In the formula, For the Production indicators of waterproof materials at the end of the stage; The optimal index function is: In the formula, From the initial inventory in stage 1 to The inventory at the end of the period is The minimum total cost is From the initial inventory in stage 1 to The inventory at the end of the period is The minimum total cost is For the Waterproof material inventory at the end of the period In the state of The quantity of waterproof materials produced at the end of the phase , we must choose from a set of feasible decisions Select in.

3. The method for intelligent management and control of waterproof material production based on big data statistics according to claim 2 is characterized in that: According to the actual production situation, the waterproof material production units are divided, and based on the genetic algorithm, the optimal production mode of each unit is selected, which specifically includes: According to the actual production steps of waterproof materials, the production steps of waterproof materials are divided into several units and numbered; according to the historical data of the production of each unit waterproof material step, the production information of different production methods of each unit waterproof material step is determined, and a production list of each unit waterproof material step is established, where the different production methods of each unit waterproof material step include: manpower, material resources, material loss, production time, production efficiency, accident rate and quality ratio; According to the production list of each unit waterproof material step, determine the optimal adaptability function for the production of each unit waterproof material step; According to the optimal adaptability function of each unit waterproof material step, select The production mode with the smallest fitness value for the optimal production of waterproof materials is taken as the parent population; According to the ratio of the optimal fitness value of each waterproof material in the parent population to the overall value, select The population with the largest ratio is taken as the next generation population; According to the generated sub-generation population, through crossover and mutation, obtain A new sub-generation population is created as the third generation population; According to the parent population and the third generation population, re-screen The production mode with the smallest fitness value for the production of the best waterproof material is used as the optimal production mode chain for each unit; Repeat the above steps in sequence, through continuous iteration, until the optimal value in the optimal production mode chain of each unit is screened out, and the optimal production mode chain data of each unit is established; The optimal adaptability function for each unit waterproof material step is: In the formula, Produce the optimal fitness value for each unit waterproofing step, is the equilibrium constant, Step 1 for waterproofing materials for each unit The parameters of the production method, Step 1 for waterproofing materials for each unit production method, is the correlation factor of the production method of each unit waterproof material step, It is the number of production methods for each unit waterproof material step.

4. The method for intelligent management and control of waterproof material production based on big data statistics according to claim 3 is characterized in that: Based on big data statistics, the importance of each unit in the entire production process is evaluated, and the important deviation coefficients of each unit are established, which specifically include: Based on big data statistics, according to production standards and quality assessment, determine the benchmark production indicators of each unit waterproofing material step; Determine the current waterproof material production index based on the actual production situation of each unit waterproof material step; According to the benchmark production index of each unit's waterproof material step and the current waterproof material production index, evaluate the importance of each unit in the entire production process and establish the important deviation coefficient of each unit; The important offset coefficient expressions of each unit are: In the formula, For the The important offset coefficient of each unit is For the Current waterproof material production index of units, For the Benchmark production indicators for waterproof materials per unit, It is the number of production methods for each unit waterproof material step.

5. The method for intelligent management and control of waterproof material production based on big data statistics according to claim 4 is characterized in that: The establishment of a human-machine interactive platform for collecting, storing and displaying various data under the current production mode, analyzing the actual progress of each unit, and optimizing the production mode of each unit in real time specifically includes: Establish a human-machine interactive platform to collect, store and display various data under the current production mode; Based on the human-computer interaction platform, build the operating environment of the intelligent production comprehensive evaluation model to ensure the normal operation of the intelligent production comprehensive evaluation model; Based on the human-computer interaction platform, the optimal production mode, production implementation plan and production tasks of waterproof materials can be displayed and viewed through a controllable interface; Based on the human-computer interaction platform, it is used to update and optimize the parameters of the intelligent production comprehensive evaluation model, and periodically monitor the production status of waterproof materials.

6. An intelligent management and control system for waterproof material production based on big data statistics, characterized in that: The method for realizing intelligent management and control of waterproof material production based on big data statistics as claimed in any one of claims 1 to 5 comprises: The optimal production mode module is used to establish a production and storage dynamic balance model according to production and storage requirements, and select the optimal production and storage plan; divide the waterproof material production units according to the actual production situation, and select the optimal production mode of each unit based on the genetic algorithm; evaluate the importance of each unit in the entire production process based on big data statistics, and establish the important deviation coefficient of each unit; establish an intelligent production comprehensive evaluation model based on the optimal production and storage plan, the important deviation coefficient of each unit and the optimal production mode of each unit, and select the production mode with the best comprehensive evaluation; The human-computer interaction platform module is used to establish a human-computer interaction platform for collecting, storing and displaying various data under the current production mode, analyzing the actual progress of each unit, and optimizing the production mode of each unit in real time.

7. The intelligent management and control system for waterproof material production based on big data statistics according to claim 6 is characterized in that: The optimal production mode module specifically includes: An optimal production and storage unit, which is used to establish a production and storage dynamic balance model according to production and storage requirements and screen out the optimal production and storage solution; The optimal production mode unit is used to divide the waterproof material production units according to the actual production situation, and screen out the optimal production mode of each unit based on the genetic algorithm; An important shift coefficient unit, which is used to evaluate the importance of each unit in the entire production process based on big data statistics, and establish an important shift coefficient for each unit; The comprehensive evaluation unit is used to establish an intelligent production comprehensive evaluation model according to the optimal production and storage plan, the important offset coefficients of each unit and the optimal production mode of each unit, and screen out the production mode with the best comprehensive evaluation.

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