An industrial production line full-condition efficiency optimization method, system, terminal and medium

Abstract

The present application relates to the technical field of efficiency optimization, and specifically discloses an all-condition efficiency optimization method, system, terminal and medium for an industrial production line. The output distribution of the industrial production line is determined, and then the balance index of each node in the production process of the industrial production line is determined; according to the difference characteristics of all balance indexes, the bottleneck sequence of the output corresponding to each node is determined, and then the efficiency deviation of the industrial production line is determined. The matching degree of the production efficiency between each node is determined through the efficiency deviation; the buffer area of materials is determined according to the distance between each adjacent node and the production efficiency of each node; the optimization rate of each node is determined through all the matching degrees and the buffer area of materials, and the equipment of each node on the industrial production line is controlled to produce based on all the optimization rates. The present invention dynamically adjusts the production line efficiency under all conditions and improves the production efficiency of the production line under the overall working conditions.

Description

Technical Field

[0001] This application relates to the technical field of efficiency optimization, and more specifically, to an all-condition efficiency optimization method, system, terminal, and medium for an industrial production line. Background Art

[0002] Efficiency optimization is an important means for enterprises to enhance competitiveness, reduce costs, and improve product quality in production management. Efficiency optimization is a systematic project that requires the comprehensive application of lean production tools, process optimization, technology upgrading, personnel management, and informatization means. Enterprises should select appropriate methods and tools according to their own characteristics and continuously improve the production process to achieve the maximization of efficiency and the minimization of costs.

[0003] The automation and intelligence levels of industrial production lines are constantly improving. Traditional production line efficiency optimization methods mainly rely on manual experience or simple mathematical models, and it is difficult to cope with complex production environments and changing production requirements. Especially in industrial production lines with multiple nodes and multiple processes, the production efficiency of each node often shows unevenness, resulting in the overall production line efficiency not reaching the optimum. In addition, factors such as material supply, equipment status, and coordination between processes will also have a significant impact on the overall efficiency of the production line. Existing efficiency optimization methods usually focus on the optimization of a single node and lack a global consideration of the overall efficiency of the production line under all conditions. Especially when facing the coupling relationship between multiple nodes, traditional methods are difficult to effectively identify bottleneck processes and make dynamic adjustments. Therefore, how to dynamically adjust the production line efficiency under all conditions has become a problem faced by the industry. Summary of the Invention

[0004] To solve the above problems, the present invention provides an all-condition efficiency optimization method, system, terminal, and medium for an industrial production line, which dynamically adjusts the production line efficiency under all conditions and improves the production efficiency of the production line under the overall working conditions.

[0005] In a first aspect, the technical solution of the present invention provides an all-condition efficiency optimization method for an industrial production line, including the following steps:

[0006] Obtain the material supply amount on the industrial production line, and determine the output distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line;

[0007] Apply balance constraints to the output distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line;

[0008] Determine the bottleneck sequence of the output quantities corresponding to each node of the industrial production line according to the difference characteristics of all balance indices. Determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node. Correlate and match the production efficiencies among the nodes on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiencies among the nodes.

[0009] Collect the distances between adjacent nodes on the industrial production line. Determine the material buffer zone during the production process of the industrial production line based on all the distances and the production efficiency of each node.

[0010] Optimize and adjust the production rates of each node on the industrial production line through all the matching degrees and the material buffer zone to obtain the optimized rates of each node. Control the equipment of each node on the industrial production line to carry out production based on all the optimized rates.

[0011] In an alternative embodiment, perform a balance constraint on the output quantity distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line, specifically including:

[0012] Determine the constraint parameters of the industrial production line;

[0013] Select a node as the selected node, and extract the output quantity corresponding to the selected node and the corresponding position of the output quantity from the output quantity distribution of the industrial production line.

[0014] Determine the balance index of the selected node during the production process of the industrial production line according to the constraint parameters, the output quantity corresponding to the selected node, and the corresponding position of the output quantity.

[0015] Continue to determine the balance indices of the remaining nodes during the production process of the industrial production line.

[0016] In an alternative embodiment, determine the bottleneck sequence of the output quantities corresponding to each node of the industrial production line according to the difference characteristics of all balance indices, specifically including:

[0017] Determine the difference characteristics of all balance indices;

[0018] Determine the bottleneck quantity of each node according to the difference characteristics;

[0019] Arrange all the bottleneck quantities in the order of the corresponding nodes on the industrial production line, and use the arranged sequence as the bottleneck sequence of the output quantities corresponding to each node of the industrial production line.

[0020] In an alternative embodiment, determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, specifically including:

[0021] Determine the efficiency gain quantity of each node according to the bottleneck sequence;

[0022] Determine the efficiency deviation of the industrial production line based on all the efficiency gain amounts and the production efficiency of each node.

[0023] In an alternative embodiment, correlatively matching the production efficiencies between each node on the industrial production line based on the efficiency deviation to obtain the matching degree of the production efficiencies between each node specifically includes:

[0024] Determine the correlation amount of the production efficiencies between each node on the industrial production line according to the efficiency deviation;

[0025] Determine the matching degree of the production efficiencies between each node through all the correlation amounts.

[0026] In an alternative embodiment, determine the buffer area of materials during the production process of the industrial production line according to all the distances and the production efficiency of each node, specifically including:

[0027] Determine the distance difference characteristics of all the distances;

[0028] Determine the efficiency difference characteristics of the production efficiency of each node;

[0029] Determine the buffer area of materials during the production process of the industrial production line through the distance difference characteristics and the efficiency difference characteristics.

[0030] In an alternative embodiment, the industrial production line is an automobile manufacturing general assembly line.

[0031] In a second aspect, the technical solution of the present invention provides an all-condition efficiency optimization system for an industrial production line, including:

[0032] A monitoring module, configured to obtain the material supply amount on the industrial production line and determine the output distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line;

[0033] A processing module, configured to perform balance constraints on the output distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line;

[0034] The processing module is further configured to determine the bottleneck sequence of the corresponding output of each node of the industrial production line according to the difference characteristics of all the balance indexes, determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, and correlatively match the production efficiencies between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiencies between each node;

[0035] The processing module is further configured to collect the distances between each adjacent node on the industrial production line and determine the buffer area of materials during the production process of the industrial production line according to all the distances and the production efficiency of each node;

[0036] An execution module, configured to optimize and adjust the production rates of each node on an industrial production line through all matching degrees and the buffer of materials, obtain the optimized rate of each node, and control the devices of each node on the industrial production line to produce based on all the optimized rates.

[0037] In a third aspect, the technical solution of the present invention provides a terminal, including:

[0038] A memory, configured to store an industrial production line full-condition efficiency optimization program;

[0039] A processor, configured to implement the steps of the industrial production line full-condition efficiency optimization method as described in any one of the above when executing the industrial production line full-condition efficiency optimization program.

[0040] In a fourth aspect, the technical solution of the present invention provides a computer-readable storage medium, on which an industrial production line full-condition efficiency optimization program is stored, and when the industrial production line full-condition efficiency optimization program is executed by a processor, the steps of the industrial production line full-condition efficiency optimization method as described in any one of the above are implemented.

[0041] As can be seen from the above technical solutions, the present application has the following advantages: First, obtain the material supply amount on the industrial production line, and determine the output distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line; perform balance constraints on the output distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line; determine the bottleneck sequence of the output amounts corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes, and determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, and perform correlation matching on the production efficiencies between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiencies between each node; collect the distances between adjacent nodes on the industrial production line, and determine the buffer of materials during the production process of the industrial production line according to all the distances and the production efficiency of each node; optimize and adjust the production rates of each node on the industrial production line through all the matching degrees and the buffer of materials to obtain the optimized rate of each node, and control the devices of each node on the industrial production line to produce based on all the optimized rates.

[0042] It can be seen that in the process of optimizing the full-condition efficiency of the industrial production line in this application, first, based on the differential characteristics of the balance index, the bottleneck sequence in the production line can be accurately identified, and the correlation matching between nodes can be achieved through efficiency deviation analysis, so as to specifically optimize the bottleneck processes and avoid their restriction on the overall production efficiency. Second, by collecting the distance and production efficiency data between adjacent nodes, the size of the material buffer is dynamically determined to ensure the balance between material supply and production demand, reduce downtime or resource waste caused by insufficient or excessive material supply, and improve the continuity and stability of the production line. Finally, through the comprehensive analysis of the matching degree and the material buffer, the production rates of each node are globally optimized and adjusted to ensure that the efficiency of the production line under the overall working conditions reaches the optimal, avoiding the problem that the traditional method is limited to local optimization and ignores the global efficiency. By adopting the above solution, the efficiency of the production line under full working conditions can be dynamically adjusted. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of this application, the drawings required for description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0044] Figure 1 Schematic flow chart of a method for optimizing the full-condition efficiency of an industrial production line provided by an embodiment of the present invention.

[0045] Figure 2 Schematic flow chart for determining the balance index in some embodiments of the present invention.

[0046] Figure 3 Schematic block diagram of the structure of a system for optimizing the full-condition efficiency of an industrial production line provided by an embodiment of the present invention.

[0047] Figure 4 Schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] In order to make the application purpose, features, and advantages of this application more obvious and understandable, the technical solutions protected by this application will be clearly and completely described below by using specific embodiments and the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this application, rather than all embodiments. Based on the embodiments in this patent, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this patent.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terms used in the specification of this invention are only for the purpose of describing specific embodiments and are not intended to limit this invention.

[0050] Figure 1 It is a schematic flowchart of a method for optimizing the full-condition efficiency of an industrial production line provided by an embodiment of the present invention. Among them, Figure 1 The execution subject can be a system for optimizing the full-condition efficiency of an industrial production line. The method for optimizing the full-condition efficiency of an industrial production line provided by an embodiment of the present invention is executed by a computer device. Correspondingly, the system for optimizing the full-condition efficiency of an industrial production line runs in the computer device. According to different requirements, the order of the steps in this flowchart can be changed, and some can be omitted.

[0051] As Figure 1 shown, the method includes the following steps.

[0052] S101, Obtain the material supply volume on the industrial production line, and determine the output volume distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line.

[0053] S102, Perform balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line.

[0054] S103, Determine the bottleneck sequence of the output volume corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes. Determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node. Through the efficiency deviation, perform correlation matching on the production efficiency between each node on the industrial production line to obtain the matching degree of the production efficiency between each node.

[0055] S104, Collect the distances between adjacent nodes on the industrial production line, and determine the material buffer area of the industrial production line during the production process according to all the distances and the production efficiency of each node.

[0056] S105, Optimize and adjust the production rates of each node on the industrial production line through all the matching degrees and the material buffer area to obtain the optimized rates of each node, and control the equipment of each node on the industrial production line to produce based on all the optimized rates.

[0057] The full-condition efficiency optimization method for industrial production lines provided in this embodiment can accurately identify the bottleneck sequences in the production line based on the differential characteristics of the balance index, and achieve the associated matching between nodes through efficiency deviation analysis, so as to specifically optimize the bottleneck processes and avoid their constraints on the overall production efficiency. Secondly, by collecting the distances and production efficiency data between adjacent nodes, the size of the material buffer is dynamically determined to ensure the balance between material supply and production demand, reduce downtime or resource waste caused by insufficient or excessive material supply, and improve the continuity and stability of the production line. Finally, through the comprehensive analysis of the matching degree and the material buffer, the production rates of each node are globally optimized and adjusted to ensure that the efficiency of the production line under the overall working conditions reaches the optimal, avoiding the problem that traditional methods are limited to local optimization and ignore the global efficiency. By adopting the above solution, the efficiency of the production line under full working conditions can be dynamically adjusted.

[0058] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to completely illustrate the specific implementation process in this embodiment, some implementation manners of the full-condition efficiency optimization method for industrial production lines are provided. The method includes the following steps.

[0059] In step 101, obtain the material supply volume on the industrial production line, and determine the output volume distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line.

[0060] Specifically, when implemented, the industrial production line is the general assembly line for automobile manufacturing. The production efficiency of each station in the general assembly line for automobile manufacturing varies greatly (such as the speed of welding robots vs. manual interior installation), and dynamic balancing is required. In addition, the industrial production line can also be other discrete and multi-process industrial production lines, such as electronic assembly and mechanical parts processing, which will not be elaborated here.

[0061] After starting the equipment of each node on the industrial production line, convey the materials to the equipment of the first node on the industrial production line, and collect the material supply volume on the industrial production line through the weight sensor in the equipment of the first node. Here, the material supply volume represents the weight of the material supply during the production of the industrial production line; in other embodiments, other methods can also be used to obtain it, which is not limited here.

[0062] It should be noted that the industrial production line in this application consists of multiple production equipment, and each production equipment is regarded as a node, and each production equipment constitutes the industrial production line according to the production process, that is: there is a production sequence for each node.

[0063] In specific implementation, the output volume distribution of the industrial production line can be determined in combination with the production efficiency of each node on the industrial production line in the following manner, i.e., calculate the output volume of each node according to the material supply volume in combination with the production efficiency of each node on the industrial production line, that is, the output volume of the first node = material supply volume * production efficiency of the first node, the output volume of the second node = output volume of the first node * production efficiency of the second node, and so on. The output volume of the last node = output volume of the penultimate node * production efficiency of the last node, so as to obtain the output volume of each node. Corresponding the output volume to each node of the industrial production line, and taking the obtained distribution as the output volume distribution of the industrial production line, where the output volume distribution represents the distribution of the output volumes of each node on the industrial production line; in other embodiments, it can also be determined by other means, which are not limited herein.

[0064] In step 102, perform balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line.

[0065] In some embodiments, as Figure 2 shown, this figure is a schematic flowchart of determining the balance index in some embodiments of the present invention. In this embodiment, performing balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line can be implemented by the following steps:

[0066] First, in step 1021, determine the constraint parameters of the industrial production line;

[0067] Secondly, in step 1022, select a node as the selected node, and extract the output volume corresponding to the selected node and the corresponding position of the output volume from the output volume distribution of the industrial production line;

[0068] Furthermore, in step 1023, determine the balance index of the selected node during the production process of the industrial production line according to the constraint parameters, the output volume corresponding to the selected node, and the corresponding position of the output volume;

[0069] Finally, in step 1024, continue to determine the balance index of the remaining nodes during the production process of the industrial production line.

[0070] In specific implementation, the constraint parameters of the industrial production line can be determined in the following manner: Obtain the historical production data of the industrial production line from the corresponding database of the industrial production line. That is, the historical production data includes the output and supply volume of each node in historical production. Divide the average value of all historical supply volumes corresponding to the first node in the historical production data by the average value of all historical output volumes, perform a logarithmic operation with the base of 2 on the obtained value, and use the value obtained from the logarithmic operation as the constraint parameter of the industrial production line. Here, the constraint parameter represents the parameter for constraining the efficiency in the production process of the industrial production line. According to the constraint parameter, the output volume corresponding to the selected node, and the position corresponding to the output volume, the balance index of the selected node in the industrial production line during the production process can be determined in the following manner: Multiply the constraint parameter by the output volume corresponding to the selected node, and divide the obtained value by the position corresponding to the selected node (i.e., the position corresponding to the selected node in the production sequence during the production process), and use the obtained value as the balance index of the selected node in the industrial production line during the production process. In other embodiments, other methods can also be used for determination, which are not limited herein.

[0071] It should be noted that the balance index in this application represents the parameter value of the output volume when the node on the industrial production line is in a balanced state during production, and can be used to adjust the nodes of the industrial production line, thereby improving the efficiency of the industrial production line.

[0072] In step 103, determine the bottleneck sequence of the output volume corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes, determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, and perform correlation matching on the production efficiency among the nodes on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiency among the nodes.

[0073] In some embodiments, the bottleneck sequence of the output volume corresponding to each node of the industrial production line can be determined according to the difference characteristics of all balance indexes by the following steps:

[0074] Determine the difference characteristics of all balance indexes;

[0075] Determine the bottleneck volume of each node according to the difference characteristics;

[0076] Arrange all bottleneck volumes in the order of the corresponding nodes on the industrial production line, and use the obtained sequence as the bottleneck sequence of the output volume corresponding to each node of the industrial production line.

[0077] In specific implementation, the difference characteristics of all balance indices can be determined in the following manner: arrange all balance indices in the order of corresponding nodes on the industrial production line, and use the obtained sequence as the balance index sequence. Select a group of adjacent balance indices in the balance index sequence as the selected adjacent balance indices. Subtract the first balance index from the second balance index in the adjacent balance indices, and use the obtained value as the difference value of the selected adjacent balance indices. Continue to determine the difference values of the remaining adjacent balance indices in the balance index sequence, and use all the difference values as the difference characteristics of all balance indices, where the difference characteristics represent the characteristics of the difference degree between adjacent balance indices. Determining the bottleneck quantity of each node according to the difference characteristics can be achieved in the following manner: calculate the maximum difference quantity minus the minimum difference quantity in the difference characteristics, use the obtained value as the first value, subtract the first value from the balance index of each node, and use all the obtained values as the bottleneck quantity of the corresponding node, where the bottleneck quantity represents the lowest output quantity of the node during the production process. In other embodiments, other methods can also be used for determination, which are not limited here.

[0078] It should be noted that the bottleneck sequence in this application represents the sequence of the output quantities of each node during the slowest production efficiency of the industrial production line, and can be used to adjust the efficiency of the industrial production line.

[0079] In some embodiments, determining the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node can be achieved through the following steps:

[0080] Determine the efficiency gain of each node according to the bottleneck sequence;

[0081] Determine the efficiency deviation of the industrial production line through all the efficiency gains and the production efficiency of each node.

[0082] In specific implementation, the efficiency gain of each node can be determined according to the bottleneck sequence in the following way: select a node as the selected node, extract the bottleneck amount corresponding to the selected node from the bottleneck sequence, perform a natural exponential operation on the extracted bottleneck amount, and use the reciprocal of the value obtained from the natural exponential operation as the efficiency gain of the selected node. Then continue to determine the efficiency gain of the remaining nodes, where the efficiency gain is a parameter value representing the degree of gain in the production efficiency of the node. To determine the efficiency deviation of the industrial production line based on all the efficiency gains and the production efficiency of each node, the following method can be used: select a node as the selected node, subtract the efficiency gain corresponding to the selected node from 1, multiply the obtained value by the production efficiency of the selected node, and use the resulting value as the deviation amount of the production efficiency of the selected node. Then continue to determine the deviation amounts of the production efficiency of the remaining nodes, where the deviation amount is a parameter value representing the degree of deviation between the production efficiency of the nodes on the industrial production line and the lowest production efficiency. Take all the deviation amounts as the efficiency deviation of the industrial production line. In other embodiments, other methods can also be used for determination, which are not limited here.

[0083] It should be noted that the efficiency deviation in this application represents the degree of deviation between the industrial production line and the lowest production efficiency during the production process, and can be used to adjust the industrial production efficiency, thereby improving the production efficiency of the industrial production line.

[0084] In some embodiments, the following steps can be used to obtain the matching degree of the production efficiency between each node on the industrial production line through the efficiency deviation for correlation matching:

[0085] Determine the correlation amount of the production efficiency between each node on the industrial production line according to the efficiency deviation;

[0086] Determine the matching degree of the production efficiency between each node through all the correlation amounts.

[0087] In specific implementation, the correlation quantity of production efficiency between each node on the industrial production line can be determined according to the efficiency deviation in the following way: randomly select two nodes as the selected two nodes, subtract the deviation quantity corresponding to the first node among the selected two nodes from the deviation quantity corresponding to the second node in the efficiency deviation, take the obtained value as the first value, subtract the production efficiency of the second node from the production efficiency of the first node among the selected two nodes, take the obtained value as the second value, add the first value and the second value, and take the obtained value as the correlation quantity of production efficiency between the selected two nodes on the industrial production line, and continue to determine the correlation quantity of production efficiency between the remaining nodes on the industrial production line, where the correlation quantity represents the parameter value of the correlation degree between two nodes on the industrial production line; determining the matching degree of production efficiency between each node through all the correlation quantities can be implemented in the following way: randomly select two nodes as the selected two nodes, perform a natural exponential operation on the correlation quantity of the selected two nodes, and take the reciprocal of the value obtained from the natural exponential operation as the matching degree of production efficiency between the selected two nodes, and continue to determine the matching degree of production efficiency between the remaining nodes; in other embodiments, other methods can also be used for determination, which is not limited here.

[0088] It should be noted that the matching degree in this application represents the parameter value of the matching degree of production efficiency between two nodes on the industrial production line, and can be used to jointly adjust the production efficiency on the industrial production line, thereby improving the efficiency of the entire production line.

[0089] In step 104, collect the distances between adjacent nodes on the industrial production line, and determine the material buffer area of the industrial production line during the production process according to all the distances and the production efficiency of each node.

[0090] In specific implementation, collect the distances between adjacent nodes on the industrial production line through a distance sensor, and this distance represents the distance between the output position of the first node and the input position of the second node among adjacent nodes; in other embodiments, other methods can also be used for collection, which is not limited here.

[0091] In some embodiments, determining the material buffer area of the industrial production line during the production process according to all the distances and the production efficiency of each node can be implemented in the following steps:

[0092] Determine the distance difference characteristics of all distances;

[0093] Determine the efficiency difference characteristics of the production efficiency of each node;

[0094] Determine the material buffer area of the industrial production line during the production process through the distance difference characteristics and the efficiency difference characteristics.

[0095] When specifically implemented, the distance difference features of all distances can be determined in the following manner: that is, all distances are arranged according to the corresponding positions on the industrial production line, the difference values between adjacent distances are calculated, and all the difference values are used as the distance difference features of all distances. Among them, the distance difference feature represents the feature of the difference degree of the distances between each node on the industrial production line; the efficiency difference feature of the production efficiency of each node can be determined in the following manner: that is, all production efficiencies are arranged according to the corresponding node positions on the industrial production line, the difference values between adjacent production efficiencies are calculated, and all the difference values are used as the efficiency difference features of the production efficiency of each node. Among them, the efficiency difference feature represents the feature of the production efficiency on the industrial production line; the buffer area of materials in the industrial production process can be determined by the distance difference feature and the efficiency difference feature in the following manner: that is, a buffer area prediction model of materials is established by using machine learning algorithms (such as random forest, neural network) combined with the historical stagnant areas of materials on the industrial production line. The input features of this model include difference features, and the output feature is the buffer area. The distance difference feature and the efficiency difference feature are used as input features and input into this change trend prediction model, and the buffer area of materials in the industrial production process is output by this buffer area prediction model of materials; in other embodiments, other methods can also be used to determine, which is not limited here.

[0096] It should be noted that the buffer area of materials in this application represents the area where materials are stagnant in the industrial production process, that is, all areas where materials are stagnant during the entire production process, which can be used to adjust the production rate between each node and improve the efficiency of the industrial production line by using the buffer area.

[0097] In step 105, the production rates of each node on the industrial production line are optimized and adjusted through all the matching degrees and the buffer area of materials to obtain the optimized rates of each node, and the equipment of each node on the industrial production line is controlled to produce based on all the optimized rates.

[0098] In some embodiments, the optimization and adjustment of the production rates of each node on the industrial production line through all the matching degrees and the buffer area of materials to obtain the optimized rates of each node can be implemented by the following steps:

[0099] Initialize an optimization rate adjustment model;

[0100] Use all the matching degrees as the initialization parameters of the optimization rate adjustment model;

[0101] Use the buffer area of materials as the constraint parameters of the optimization rate adjustment model;

[0102] Adjust the production rate of each node on the industrial production line according to the optimized rate adjustment model, and output the optimized rate of each node.

[0103] It should be noted that the optimized rate in this application represents the rate after the production rate of the node is optimized during the production of the industrial production line, and can be used to control the production rate of the industrial production line;

[0104] In addition, it should be noted that the optimized rate adjustment model uniformly adjusts the rates of all nodes on the entire production line, so as to optimize the entire production line. Each matching degree reflects the adaptability or coordination of the corresponding node at different production rates. These matching degree data are used as the initial input parameters of the model to guide the initial search direction and optimization goal of the model, and the capacity of the material buffer is used as the constraint condition of the optimized rate adjustment model. These constraint conditions ensure that when adjusting the production rate, it will not cause excessive backlog or shortage in the material buffer, thus ensuring the continuity and stability of production; In specific implementation, an optimized rate adjustment model is constructed based on the machine learning library, and the optimized rate model is trained through the cross-validation method combined with the historical production rate of the industrial production line. All the matching degrees and the material buffer are used as the input features of this optimized rate adjustment model, and the optimized rate of each node is used as the output feature of this optimized rate adjustment model. In other embodiments, other methods can also be used to determine, which are not limited here.

[0105] In some embodiments, controlling the devices of each node on the industrial production line based on all the optimized rates can be implemented by the following steps:

[0106] Obtain the production plan of the industrial production line;

[0107] Adjust the production plan according to all the optimized rates to obtain the adjusted production plan;

[0108] Control the devices of each node on the industrial production line to produce through the production plan.

[0109] In specific implementation, obtain the production plan of the industrial production line from the database of the industrial production line. Among them, the sampling plan includes production efficiency, production rate of each node, production volume, etc.; Adjust the production plan according to all the optimized rates to obtain the adjusted production plan can be implemented in the following way, that is: replace the production rate of each node in the production plan with all the optimized rates, and use the replaced production plan as the adjusted production plan; And input the adjusted production plan into the sampler, and control the devices of each node on the industrial production line to produce; In other embodiments, other methods can also be used to implement, which are not limited here.

[0110] In the above text, embodiments of an industrial production line full-condition efficiency optimization method have been described in detail. Based on the industrial production line full-condition efficiency optimization method described in the above embodiments, an embodiment of the present invention also provides an industrial production line full-condition efficiency optimization system corresponding to this method.

[0111] Figure 3 FIG. 4 is a schematic block diagram of the structure of an industrial production line full-condition efficiency optimization system provided by an embodiment of the present invention. In this embodiment, the industrial production line full-condition efficiency optimization system 300 can be divided into multiple functional modules according to the functions it performs, such as Figure 3 shown. The functional modules may include: a monitoring module 310, a processing module 320, and an execution module 330. The module referred to in the present invention means a series of computer program segments that can be executed by at least one processor and can complete a fixed function, and is stored in a memory.

[0112] The monitoring module 310. In this application, the monitoring module 310 is mainly used to obtain the material supply volume on the industrial production line, and determine the output volume distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line;

[0113] The processing module 320. In this application, the processing module 320 is used to perform balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line;

[0114] It should be noted that in this application, the processing module 320 is also used to determine the bottleneck sequence of the output volume corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes, determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, and perform correlation matching on the production efficiency between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiency between each node;

[0115] In addition, it should be noted that in this application, the processing module 320 is also used to collect the distances between adjacent nodes on the industrial production line, and determine the material buffer area of the industrial production line during the production process according to all the distances and the production efficiency of each node;

[0116] The execution module 330. In this application, the execution module 330 is mainly used to optimize and adjust the production rates of each node on the industrial production line through all the matching degrees and the material buffer area to obtain the optimized rates of each node, and control the equipment of each node on the industrial production line to produce based on all the optimized rates.

[0117] The full-condition efficiency optimization system of the industrial production line in this embodiment is used to implement the aforementioned full-condition efficiency optimization method of the industrial production line. Therefore, the specific implementation manners in this system can be seen in the embodiment part of the full-condition efficiency optimization method of the industrial production line in the foregoing text. Therefore, its specific implementation manners can be referred to the descriptions of the corresponding various part embodiments, and will not be elaborated here.

[0118] In addition, since the full-condition efficiency optimization system of the industrial production line in this embodiment is used to implement the aforementioned full-condition efficiency optimization method of the industrial production line, its functions correspond to those of the above method, and will not be elaborated here.

[0119] Figure 4 FIG. is a schematic structural diagram of a terminal 400 provided by an embodiment of the present invention, including: a processor 410, a memory 420, and a communication unit 430. The memory is used to store the full-condition efficiency optimization program of the industrial production line, and the processor 410 is used to implement the full-condition efficiency optimization program stored in the memory 420. When the processor 410 executes the full-condition efficiency optimization program, the process steps in the above method embodiment are implemented.

[0120] The terminal 400 includes a processor 410, a memory 420, and a communication unit 430. These components communicate through one or more buses. Those skilled in the art can understand that the structure of the server shown in the figure does not constitute a limitation to the present invention. It can be a bus structure, a star structure, and can also include more or fewer components than shown in the figure, or combine some components, or arrange different components.

[0121] Among them, the memory 420 can be used to store the execution instructions of the processor 410. The memory 420 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 420 are executed by the processor 410, the terminal 400 can execute some or all of the steps in the above method embodiment.

[0122] The processor 410 is the control center of the storage terminal, connecting various parts of the entire electronic terminal through various interfaces and circuits. By running or executing software programs and / or modules stored in the memory 420, and by invoking the data stored in the memory, it performs various functions of the electronic terminal and / or processes data. The processor may be composed of an integrated circuit (IC), for example, it may be composed of a single packaged IC, or it may be composed of multiple packaged ICs with the same or different functions connected together. For example, the processor 410 may only include a central processing unit (CPU). In the embodiments of the present invention, the CPU may be a single arithmetic core or may include multiple arithmetic cores.

[0123] The communication unit 430 is used to establish a communication channel so that the storage terminal can communicate with other terminals. It receives user data sent by other terminals or sends user data to other terminals.

[0124] The present invention also provides a computer storage medium, and the storage medium here may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), etc.

[0125] The computer storage medium stores an industrial production line full-condition efficiency optimization program, and when the industrial production line full-condition efficiency optimization program is executed by the processor, it realizes the process steps in the above method embodiments.

[0126] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., which can store program codes, and includes several instructions to enable a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0127] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0129] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0130] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An industrial production line full-condition efficiency optimization method, characterized in that It includes the following steps: Obtain the material supply volume on the industrial production line, and determine the output volume distribution of the industrial production line by combining the production efficiency of each node on the industrial production line; Perform balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line; Determine the bottleneck sequence of the output volume corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes. Determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node. Perform correlation matching on the production efficiency between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiency between each node; Collect the distances between adjacent nodes on the industrial production line, and determine the material buffer zone during the production process of the industrial production line according to all the distances and the production efficiency of each node; Optimize and adjust the production rates of each node on the industrial production line through all the matching degrees and the material buffer zone to obtain the optimized rate of each node, and control the equipment of each node on the industrial production line to produce based on all the optimized rates; Among them, performing correlation matching on the production efficiency between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiency between each node specifically includes: determining the correlation quantity of the production efficiency between each node on the industrial production line according to the efficiency deviation. The efficiency deviation represents the deviation degree of the industrial production line from the lowest production efficiency during the production process. The sum of the difference between the efficiency deviations of two nodes and the difference in production efficiency is the correlation quantity between the two nodes; determining the matching degree of the production efficiency between each node through all the correlation quantities. The reciprocal of the value obtained by performing the natural exponential operation on the correlation quantity of two nodes is used as the matching degree of the production efficiency between the selected two nodes; Among them, optimizing and adjusting the production rates of each node on the industrial production line through all the matching degrees and the material buffer zone to obtain the optimized rate of each node specifically includes: initializing an optimized rate adjustment model; using all the matching degrees as the initialization parameters of the optimized rate adjustment model; using the material buffer zone as the constraint parameter of the optimized rate adjustment model; adjusting the production rates of each node on the industrial production line according to the optimized rate adjustment model, and outputting the optimized rate of each node.

2. The industrial production line full-condition efficiency optimization method according to claim 1, characterized in that Performing balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line specifically includes: Determine the constraint parameters of the industrial production line; Select a node as the selected node, and extract the output volume corresponding to the selected node and the position corresponding to the output volume from the output volume distribution of the industrial production line; Determine the balance index of the selected node during the production process of the industrial production line according to the constraint parameters, the output volume corresponding to the selected node, and the position corresponding to the output volume; Continue to determine the balance index of the remaining nodes during the production process of the industrial production line.

3. The full-condition efficiency optimization method for an industrial production line according to claim 1, wherein Determine the bottleneck sequence of the output volume corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes, specifically including: Determine the difference characteristics of all balance indexes; Determine the bottleneck quantity of each node according to the difference characteristics; Arrange all bottleneck quantities in the order of the corresponding nodes on the industrial production line, and use the obtained sequence as the bottleneck sequence of the output quantities corresponding to each node of the industrial production line.

4. The industrial production line full-condition efficiency optimization method according to claim 1, wherein Determining the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node specifically includes: Determine the efficiency gain of each node according to the bottleneck sequence; Determine the efficiency deviation of the industrial production line through all the efficiency gains and the production efficiency of each node.

5. The method for optimizing the full operating condition efficiency of an industrial production line according to claim 1, characterized in that, Determining the buffer area of materials during the production process of the industrial production line according to all the distances and the production efficiency of each node specifically includes: Determine the distance difference characteristics of all distances; Determine the efficiency difference characteristics of the production efficiency of each node; Determine the buffer area of materials during the production process of the industrial production line through the distance difference characteristics and the efficiency difference characteristics.

6. The industrial production line full-condition efficiency optimization method according to claim 1, characterized in that The industrial production line is the final assembly line of automobile manufacturing.

7. An all-condition efficiency optimization system for an industrial production line, characterized in that, Including: A monitoring module for obtaining the material supply volume on the industrial production line and determining the output volume distribution of the industrial production line in combination with the production efficiency of each node on the industrial production line; A processing module for performing balance constraints on the output volume distribution of the industrial production line to obtain the balance index of each node during the production process of the industrial production line; The processing module is further configured to determine the bottleneck sequence of the output quantities corresponding to each node of the industrial production line according to the difference characteristics of all balance indexes, determine the efficiency deviation of the industrial production line from the bottleneck sequence and the production efficiency of each node, and perform associated matching on the production efficiencies between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiencies between each node; The processing module is further configured to collect the distances between each adjacent node on the industrial production line and determine the buffer area of materials during the production process of the industrial production line according to all the distances and the production efficiency of each node; An execution module for optimizing and adjusting the production rates of each node on the industrial production line through all the matching degrees and the buffer area of materials to obtain the optimized rates of each node, and controlling the equipment of each node on the industrial production line to produce based on all the optimized rates; Among them, performing associated matching on the production efficiencies between each node on the industrial production line through the efficiency deviation to obtain the matching degree of the production efficiencies between each node specifically includes: determining the associated quantity of the production efficiencies between each node on the industrial production line according to the efficiency deviation, where the efficiency deviation represents the deviation degree of the industrial production line from the lowest production efficiency during the production process, and the sum of the difference between the efficiency deviations of two nodes and the difference between the production efficiencies is the associated quantity of the two nodes; determining the matching degree of the production efficiencies between each node through all the associated quantities, and the reciprocal of the value obtained by performing the natural exponential operation on the associated quantities of two nodes is used as the matching degree of the production efficiencies between the selected two nodes; Among them, the production rates of each node on the industrial production line are optimized and adjusted through all the matching degrees and the buffer of materials, and the optimized rates of each node are obtained, specifically including: initializing an optimized rate adjustment model; using all the matching degrees as the initialization parameters of the optimized rate adjustment model; using the buffer of materials as the constraint parameters of the optimized rate adjustment model; adjusting the production rates of each node on the industrial production line according to the optimized rate adjustment model, and outputting the optimized rates of each node.

8. A terminal, characterized in that, Including: a memory for storing an industrial production line full-condition efficiency optimization program; a processor for implementing the steps of the industrial production line full-condition efficiency optimization method according to any one of claims 1 to 6 when executing the industrial production line full-condition efficiency optimization program.

9. A computer-readable storage medium, characterized in that, The industrial production line full-condition efficiency optimization program is stored on the readable storage medium, and when the industrial production line full-condition efficiency optimization program is executed by the processor, the steps of the industrial production line full-condition efficiency optimization method according to any one of claims 1 to 6 are implemented.

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