Intelligent production scheduling management system of cable production and processing workshop

Abstract

The invention, which relates to the technical field of intelligent production scheduling, discloses an intelligent production scheduling management system for a cable production processing workshop, comprising a prior data acquisition module, a preliminary production scheduling module, an optimized production scheduling module, a Web set display terminal and a data warehouse. According to the method, the equipment sharing correlation degree among various production cables is fused, preliminary production scheduling is carried out on the production cables, the preliminary production scheduling table of the production cables is obtained, the equipment sharing performance of a cable production and processing workshop is improved, and the equipment vacancy rate of the cable production and processing workshop is reduced; according to the invention, the preliminary production scheduling table of the production cable is optimized in the optimized production scheduling module according to the associated production equipment corresponding to the plurality of demand detection items of various cables, and the optimized production scheduling table of the production cable is obtained, so that the defects in the prior art are overcome, the detection efficiency is improved, the quality control difficulty is reduced, and the consumption of detection resources is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent production scheduling, and in particular to an intelligent production scheduling management system for a cable production and processing workshop. Background Art

[0002] In today's rapidly developing technology and increasingly complex industrial production environment, intelligent production scheduling and management systems for various cable production processes have become key factors in improving corporate competitiveness and optimizing production processes. This has a profound impact on a company's production efficiency, cost control, product quality, and market responsiveness. Therefore, intelligent cable production scheduling is extremely necessary.

[0003] Existing technologies, such as the invention application patent with publication number CN117196212A, disclose an intelligent production scheduling management system for a cable production and processing workshop, which includes an acquisition module, a calculation module, an analysis module, and a scheduling module. Through the close collaboration of various modules, intelligent production scheduling is realized, which can make flexible adjustments under different production conditions and can also provide managers with effect predictions of different production scheduling plans.

[0004] Combining the above solutions, it can be found that there are still deficiencies in the existing technology, which are specifically reflected in the following aspects: traditional production scheduling methods often rely on manual experience. On the one hand, there is rarely any scheduling of production cables based on equipment commonality, which leads to reduced equipment sharing in cable production and processing workshops and increased equipment vacancy rates in cable production and processing workshops. On the other hand, there is not much attention paid to the relationship between the commonality of demand testing items and the scheduling of production cables, which reduces testing efficiency, increases the difficulty of quality control, and increases the consumption of testing resources. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent production scheduling and management system for a cable production and processing workshop, which solves the problems existing in the background technology.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent production scheduling and management system for a cable production and processing workshop, including: a priori data acquisition module for obtaining production and processing data of various types of cables from a cable production and processing center, wherein the production and processing data includes operation information of several production equipment and related production equipment corresponding to several demand detection items.

[0007] The preliminary production scheduling module is used to receive the cable production table sent by the cable production and processing center, which includes the estimated production volume and estimated delivery nodes of various types of production cables, and to perform preliminary production scheduling to obtain a preliminary production scheduling table for the production cables.

[0008] The production scheduling optimization module is used to optimize the preliminary production schedule for the production of cables based on several related production equipment corresponding to several demand inspection items of various types of cables, and obtain an optimized production schedule for the production of cables.

[0009] Web integrated display terminal, used to display the optimized production schedule for cable production.

[0010] The beneficial effects of the present invention are: (1) the present invention obtains production and processing data of various cables from the cable production and processing center in the prior data acquisition module, laying the foundation for subsequent production scheduling after receiving cable processing requests.

[0011] (2) In the preliminary production scheduling module, the present invention receives the cable production table sent by the cable production and processing center, predicts the estimated production nodes of various types of production cables, integrates the equipment sharing correlation between various types of production cables, and performs preliminary production scheduling on the production cables to obtain a preliminary production scheduling table for the production cables. This overcomes the defect of neglecting this aspect in the existing technology, improves the equipment sharing of the cable production and processing workshop, and reduces the equipment vacancy rate of the cable production and processing workshop.

[0012] (3) In the production scheduling optimization module, the present invention optimizes the preliminary production schedule for the production of cables based on the associated production equipment corresponding to several demand inspection items of various types of cables, and obtains an optimized production schedule for the production of cables, which makes up for the shortcomings of the existing technology, improves the inspection efficiency, reduces the difficulty of quality control, and reduces the consumption of inspection resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0014] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0015] Figure 2 Schematic diagram of the link of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] Reference Figure 1 As shown, the present invention provides an intelligent production scheduling management system for a cable production and processing workshop, including: a priori data acquisition module, a preliminary production scheduling module, an optimized production scheduling module and a Web integrated display terminal.

[0018] It should be noted that the present invention also includes a data warehouse, the prior data acquisition module is connected to the preliminary production scheduling module, the prior data acquisition module and the preliminary production scheduling module are both connected to the optimized production scheduling module, the optimized production scheduling module is connected to the Web integrated display terminal, and the data warehouse is respectively connected to the preliminary production scheduling module and the optimized production scheduling module.

[0019] The priori data acquisition module is used to obtain production and processing data of various types of cables from a cable production and processing center. The production and processing data includes operation information of several production equipment and associated production equipment corresponding to several required detection items.

[0020] In a specific embodiment of the present invention, the operation information includes a power data set and a function data set.

[0021] The power data set is specifically embodied in the power operation data of the production equipment, specifically, such as current, voltage, power, etc.

[0022] The functional data sets of the production equipment are specifically embodied in the data of the specific functions of the production equipment, such as the drawing speed, drawing passes, and die aperture of the wire drawing machine, the lay length, lay direction, and stranding pitch of the stranding machine, and the extrusion temperature, extrusion pressure, and screw speed of the extruder, etc., which are not detailed here.

[0023] The preliminary production scheduling module is used to receive the cable production table sent by the cable production and processing center, the cable production table including the estimated production volume and estimated delivery nodes of various types of production cables, and to perform preliminary production scheduling to obtain a preliminary production scheduling table for the production cables.

[0024] In a specific embodiment of the present invention, the preliminary production scheduling obtains a preliminary production scheduling table for producing cables, and the specific method is: obtaining the estimated production volume and estimated delivery nodes of various types of produced cables from the cable production table, and obtaining the historical average processing time corresponding to the unit output of various types of cables from the cable production and processing center. The historical average processing time for the unit output of various types of cables is specifically divided by the duration of each single-step processing of various types of cables by the processing output to obtain the processing time corresponding to the unit output, and the average is processed to obtain the historical average processing time for the unit output of various types of cables. The single-step processing is specifically to produce only a certain type of cable, and not to mix it with other cables. The historical average processing time corresponding to the unit output of various types of produced cables is screened, and the estimated delivery node and the estimated production volume are combined to determine the estimated production node of each type of produced cable.

[0025] Specifically, the historical average processing time corresponding to the unit output of each type of cable production is multiplied by the estimated production volume to obtain the estimated processing time of each type of cable production, and combined with the estimated delivery node to obtain the estimated production node of each type of cable production.

[0026] Sort the various production cables according to the order of the estimated production nodes, obtain the sorted production cables, take the first-ranked production cable as the benchmark production cable, and construct the equipment sharing correlation degree α between the benchmark production cable and the remaining production cables _i , where i is the number of the other types of produced cables, i = 1, 2, ..., n, and n is an integer greater than 2.

[0027] If α _i ≥α′, then this type of production cable is recorded as the adapted production cable of the benchmark production cable, α′ is the convergence value of the equipment shared association stored in the data warehouse, and the adapted production cable set {β1,β2,...,β b ,...,β d}, b is the number of the adapted production cable, b=1,2,...,d, d is an integer greater than 2, and the device shared association convergence value is specifically for the purpose of boundary adaptation production cable.

[0028] It should be noted that the equipment sharing correlation degree convergence value is specifically set by the staff of the cable production workshop.

[0029] The second-ranked production cable is used as the benchmark production cable, and several production cables after the second are used as the production cables to be evaluated. Similarly, the equipment sharing correlation between the benchmark production cable and the production cables to be evaluated is constructed, and similarly, the adaptation production cable set corresponding to the benchmark production cable is obtained.

[0030] By analogy, the sorted production cables χ are constructed. _p Corresponding adapter production cable set p is the sorted serial number of each type of produced cable, p=1, 2, ..., q, where q is an integer greater than 2.

[0031] Construct constraint conditions, and traverse the adapted production cable sets corresponding to various types of production cables to generate several links of production cables, each link including various types of production cables, and construct a preliminary production schedule for the production cables.

[0032] Specifically, a combination of the first type of production cable and the randomly selected adapted production cable is taken as a first node to obtain several first nodes. If a first node does not meet the constraint conditions, the first node is eliminated.

[0033] The number of the first nodes may be two or more, specifically a random combination of the first type of production cables and the adapted production cables.

[0034] The constraint condition specifically requires that the production node be before the estimated production node. Specifically, the various types of production cables, sorted in chronological order, are reordered based on the first node to obtain the production nodes of the reordered types of production cables. If the production nodes of the reordered types of production cables are all before the estimated production node, the first node is retained; if the production node of a certain type of production cable is after the reordering, the first node is eliminated. The production nodes of the reordered types of production cables are specifically determined based on the initial production node, the sum of the estimated processing time of each type of production cable, and the compensation equipment conversion time. The initial production node is specifically the allowed production node of the cable production workshop.

[0035] For example, the initial production node is used as the production node of the reordered first-category production cable, and the estimated processing time of the second-category production cable is added to the compensation equipment conversion time to obtain the interval time between the first-category production cable and the second-category production cable. Based on the production node of the first-category production cable, the production node of the second-category production cable is obtained, and so on, to obtain the production nodes of each type of production cable after reordering.

[0036] Specifically, the conversion time of the compensation device is set by the staff of the cable production workshop.

[0037] A first node is randomly selected as the example first node, and the corresponding production cables are eliminated according to the number of the example first node to obtain various types of production cables after elimination, and the adapted production cable sets corresponding to various types of production cables after elimination are obtained. The adapted production cables of the sorted first type of production cables and the first type of production cables are randomly selected as the second nodes. If a second node does not meet the constraint conditions, the second node is eliminated to obtain several second nodes corresponding to the example first node that meet the conditions. Similarly, several third nodes corresponding to several second nodes corresponding to the example first node that meet the conditions are obtained, until the adapted production cable sets corresponding to various types of production cables are traversed. Similarly, several links of the remaining first nodes are analyzed and summarized to obtain several links, and repeated paths are eliminated to obtain several links of production cables.

[0038] For example, refer to Figure 2As shown, (1,4), (1,2,3), (1,5), (1,2) are several first nodes respectively, (2,3), (2,5,6) are the second nodes corresponding to the first node (1,4), (4) is the second node corresponding to the first node (1,2,3), (2,6,7) is the second node corresponding to the first node (1,5), (3,4), (3,6,8) are the second nodes corresponding to the first node (1,2), then the generated links are (1,4,2,3), (1,4,2,5,6), (1,2,3,4), (1,5,2,6,7), (1,2,3,4), (1,2,3,6,8).

[0039] In a specific embodiment of the present invention, the equipment sharing correlation between the benchmark production cable and the other types of production cables is constructed by extracting the operating information of several production equipment from the production and processing data of each type of cable, obtaining the operating information of several production equipment corresponding to the benchmark production cable and the operating information of several production equipment of the other types of production cables, so as to determine the overlap and functional sharing of the production equipment of the benchmark production cable and the other types of production cables.

[0040] Multiply the overlap of production equipment of the benchmark production cable and other types of production cables by the function sharing degree to obtain the equipment sharing correlation degree α between the benchmark production cable and other types of production cables. _i .

[0041] In a specific embodiment of the present invention, the degree of overlap and function sharing of the production equipment of the reference production cable and the other types of production cables is determined by counting the number of identical production equipment of the reference production cable and the other types of production cables, and summing up the number M of identical production equipment. _0_i , through the production equipment overlap model M′ _0 To summarize the total number of production equipment for the benchmark cable, output the overlap α between the benchmark cable and the production equipment for the other types of cables. _0_i .

[0042] Functional data are extracted from the operating information of the benchmark production cable and the operating information of the other types of production cables respectively to determine the functional data offset of several identical production equipment of the benchmark production cable and the other types of production cables. The functional data offset α′ of the identical production equipment of the benchmark production cable and the other types of production cables is obtained by averaging. _1_i , and through similar processing, the power data offset α′ of the same equipment of the benchmark production cable and other types of production cables is obtained _2_i , through data conversion model θ _iThe data to be converted are converted into the first functional commonality α of the production equipment of the benchmark production cable and other types of production cables _1_i and the second function sharing degree α _2_i , the functional sharing degree of the production equipment of the benchmark production cable and other types of production cables is obtained by the weighted summation method.

[0043] It should be noted that the specific method for determining the functional data offset between the benchmark production cable and several identical production equipment of other types of production cables is as follows: extracting the characteristic parameters of each functional data of several identical production equipment of other types of production cables from the operating information of the benchmark production cable, and extracting the characteristic parameters of each functional data of several identical production equipment from the operating information of other types of production cables, and subtracting them and taking the absolute value to obtain the offset characteristic parameters of each functional data of several identical equipment of the benchmark production cable and other types of production cables, and accumulating them to obtain the functional data offset of several identical equipment of the benchmark production cable and other types of production cables.

[0044] It should also be noted that the functional sharing degree between the benchmark production cable and the production equipment of other types of production cables is obtained by a weighted summation method. The specific method is: the first functional sharing degree and the second functional sharing degree of the benchmark production cable and the production equipment of other types of production cables are weighted respectively, and then summed up to obtain the functional sharing degree between the benchmark production cable and the production equipment of other types of production cables. The assigned weights are specifically set by the staff of the cable production workshop.

[0045] In a specific embodiment of the present invention, the constraint condition is that the production node is before the estimated production node.

[0046] The optimized production scheduling module is used to optimize the preliminary production schedule for producing cables based on several related production equipment corresponding to several demand detection items of various types of cables, and obtain an optimized production schedule for producing cables.

[0047] In a specific embodiment of the present invention, the optimization of the preliminary production schedule of the production cables is carried out by extracting several links of the production cables from the preliminary production schedule of the production cables, and obtaining the equipment sharing correlation degree between the j-th production cable and the j+1-th production cable in the several links. And through numerical processing, the equipment sharing index of several links is obtained h is the number of several links, h = 1, 2, ..., g, g is an integer greater than 2, j is the number of the production cable in the link, j = 1, 2, ..., k, k is an integer greater than 2.

[0048] Based on the various types of production cables and their required production equipment in several links, combined with several related production equipment corresponding to several required inspection items of various types of cables, the required inspection item sets of various types of production cables in several links are located, and the inspection sharing index of several links is evaluated.

[0049] Import the equipment sharing index and detection sharing index of several links into the overall sharing index evaluation model, and output the overall sharing index of several links and import it The maximum value of the overall sharing index is output, and the corresponding link is used as the optimized production schedule for the production cable.

[0050] In a specific embodiment of the present invention, the demand detection item set includes each demand detection item and its corresponding several associated production equipment.

[0051] In a specific embodiment of the present invention, the overall common index evaluation model is specifically: Where λ1 and λ2 are the weight factors of the device sharing index and the detection sharing index stored in the data warehouse, respectively.

[0052] In a specific embodiment of the present invention, the specific evaluation method for evaluating the detection sharing index of several links is as follows: extracting each required detection item and its corresponding several associated production equipment from the required detection item set of each type of production cable in the several links, and counting the number τ′ of associated production equipment corresponding to the fth required detection item of the jth type of production cable in the several links. _h_j_f , and count the same required inspection items of the jth category production cable and the j+1th category cable in several links and their corresponding same associated production equipment, and summarize the number of the same associated production equipment And import it into the detection common index model Output the detection sharing index of several links, where f is the number of the required detection item, f = 1, 2, ..., t, and t is an integer greater than 2.

[0053] The web integrated display terminal is used to display an optimized production schedule for cable production.

[0054] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent production scheduling management system for a cable production and processing workshop, characterized in that: include: A priori data acquisition module is used to obtain production and processing data of various cables from the cable production and processing center. The production and processing data includes the operation information of several production equipment and the associated production equipment corresponding to several required inspection items; A preliminary production scheduling module is used to receive a cable production table sent by a cable production and processing center, the cable production table including the estimated production volume and estimated delivery time of various types of cables, and perform preliminary production scheduling to obtain a preliminary production schedule for the cables; The production scheduling optimization module is used to optimize the preliminary production schedule of cables according to the related production equipment corresponding to the required inspection items of various types of cables, and obtain the optimized production schedule of cables; Web integrated display terminal, used to display the optimized production schedule for cable production.

2. The intelligent production scheduling management system for a cable production and processing workshop according to claim 1 is characterized in that: The operation information includes a power data set and a function data set; The power data set is specifically embodied in the power operation data of the production equipment; The functional data sets of the plurality of production equipment are specifically embodied in data on the specific functions of the production equipment.

3. The intelligent production scheduling management system for a cable production and processing workshop according to claim 2 is characterized in that: The preliminary production schedule is obtained by the following method: Obtain the estimated production volume and estimated delivery time of each type of cable from the cable production table, and obtain the historical average processing time corresponding to the unit output of each type of cable from the cable production and processing center. Filter the historical average processing time corresponding to the unit output of each type of cable and determine the estimated production time of each type of cable by combining the estimated delivery time and estimated production volume. Sort the various production cables according to the order of the estimated production nodes, obtain the sorted production cables, take the first-ranked production cable as the benchmark production cable, and construct the equipment sharing correlation degree α between the benchmark production cable and the remaining production cables _i , where i is the number of the other types of produced cables, i = 1, 2, ..., n, and n is an integer greater than 2; If α _i ≥α′, then this type of production cable is recorded as the adapted production cable of the benchmark production cable, α′ is the convergence value of the equipment shared association stored in the data warehouse, and the adapted production cable set {β1,β2,...,β b ,...,β d }, b is the number of the adapted production cable, b=1, 2, ..., d, d is an integer greater than 2, and the device shared association degree convergence value is specifically for the purpose of bounding the adapted production cable; The second-ranked production cable is used as the benchmark production cable, and several production cables ranked after the second are used as the production cables to be evaluated. Similarly, the equipment sharing correlation between the benchmark production cable and each production cable to be evaluated is constructed, and similarly, the set of adapted production cables corresponding to the benchmark production cable is obtained; By analogy, the sorted production cables χ are constructed. _p Corresponding adapter production cable set F _p ={β _p1 ,β _p2 ,...,β _pb ,...,β _pd }, p is the sorted serial number of each type of produced cable, p=1,2,...,q, q is an integer greater than 2; Construct constraint conditions, and traverse the adapted production cable sets corresponding to various types of production cables to generate several links of production cables, each link including various types of production cables, and construct a preliminary production schedule for the production cables.

4. The intelligent production scheduling management system for a cable production and processing workshop according to claim 3 is characterized in that: The specific construction method of constructing the equipment sharing correlation between the benchmark production cable and other types of production cables is as follows: Extracting the operating information of several production equipment from the production and processing data of various types of cables, obtaining the operating information of several production equipment corresponding to the benchmark production cable and the operating information of several production equipment of the remaining types of production cables, thereby determining the overlap and functional sharing degree of the production equipment of the benchmark production cable and the remaining types of production cables; Multiply the overlap of production equipment of the benchmark production cable and other types of production cables by the function sharing degree to obtain the equipment sharing correlation degree α between the benchmark production cable and other types of production cables. _i .

5. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4 is characterized in that: The specific method for determining the overlap and function sharing of the production equipment of the benchmark production cable and other types of production cables is as follows: Count the number of identical production equipment for the benchmark production cable and other types of production cables, and summarize the number of identical production equipment M _0_i , through the production equipment overlap model M′ _0 To summarize the total number of production equipment for the benchmark cable, output the overlap α between the benchmark cable and the production equipment for the other types of cables. _0_i ; Functional data are extracted from the operating information of the benchmark production cable and the operating information of the other types of production cables respectively to determine the functional data offset of several identical production equipment of the benchmark production cable and the other types of production cables. The functional data offset α′ of the identical production equipment of the benchmark production cable and the other types of production cables is obtained by averaging. _1_i , and through similar processing, the power data offset α′ of the same equipment of the benchmark production cable and other types of production cables is obtained _2_i , through data conversion model θ _i The data to be converted are converted into the first functional commonality α of the production equipment of the benchmark production cable and other types of production cables _1_i and the second function sharing degree α _2_i , the functional sharing degree of the production equipment of the benchmark production cable and other types of production cables is obtained by the weighted summation method.

6. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4 is characterized in that: The constraint condition is that the production node is before the estimated production node.

7. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4 is characterized in that: The specific optimization method for optimizing the preliminary production schedule of the cable production is as follows: Extract several production cable links from the preliminary production schedule of the production cables, and obtain the equipment sharing correlation between the jth production cable and the j+1th production cable in the several links And through numerical processing, the equipment sharing index of several links is obtained h is the number of several links, h = 1, 2, ..., g, g is an integer greater than 2, j is the number of the production cable in the link, j = 1, 2, ..., k, k is an integer greater than 2; Identify the required test items for various types of production cables in several links and evaluate the test sharing index of several links Import the equipment sharing index and detection sharing index of several links into the overall sharing index evaluation model, and output the overall sharing index of several links and import it The maximum value of the overall sharing index is output, and the corresponding link is used as the optimized production schedule for the production cable.

8. The intelligent production scheduling management system for a cable production and processing workshop according to claim 7, characterized in that: The demand detection item set includes each demand detection item and several corresponding associated production equipment.

9. The intelligent production scheduling management system for a cable production and processing workshop according to claim 7, characterized in that: The overall sharing index evaluation model is specifically as follows: Where λ1 and λ2 are the weight factors of the device sharing index and the detection sharing index stored in the data warehouse, respectively.

10. The intelligent production scheduling management system for a cable production and processing workshop according to claim 7, characterized in that: The specific evaluation method for evaluating the detection commonality index of the plurality of links is as follows: Extract each demand inspection item and its corresponding associated production equipment from the demand inspection item set of various types of production cables in several links, and count the number of associated production equipment τ′ corresponding to the fth demand inspection item of the jth type of production cable in several links _h_j_f , and count the same required inspection items of the jth category production cable and the j+1th category cable in several links and their corresponding same associated production equipment, and summarize the number of the same associated production equipment And import it into the detection common index model Output the detection sharing index of several links, where f is the number of the required detection item, f = 1, 2, ..., t, and t is an integer greater than 2.

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