An intelligent production scheduling management system for a cable production and processing workshop

Abstract

The application discloses a kind of intelligent production management systems of cable production and processing workshop, it is related to intelligent production technology field, the present application includes prior data acquisition module, preliminary production scheduling module, optimization production scheduling module, Web set display terminal and data warehouse;The present application fuses the equipment sharing correlation degree between various production cables, preliminarily produces and schedules production cable, obtains the preliminary production scheduling table of production cable, improves the equipment sharing of cable production and processing workshop, reduces the equipment vacancy rate of cable production and processing workshop;The present application carries out optimization in optimization production scheduling module according to the preliminary production scheduling table of production cable corresponding to the associated production equipment of several demand detection items of various cables, obtains the optimization production scheduling table of production cable, makes up the deficiency in prior art, improves detection efficiency, and reduces quality control difficulty, reduces the consumption of detection resources.

Description

Technical Field

[0001] This invention relates to the field of intelligent production scheduling technology, specifically to an intelligent production scheduling management system for a cable production and processing workshop. Background Technology

[0002] In today's rapidly developing technological environment and increasingly complex industrial production, intelligent production scheduling management systems for various cable production processes have become key factors in enhancing enterprise competitiveness and optimizing production processes. They have a profound impact on a company's production efficiency, cost control, product quality, and market responsiveness; therefore, intelligent production scheduling for cables 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 a data acquisition module, a calculation module, an analysis module, and a scheduling module. Through the close collaboration of these modules, intelligent production scheduling is achieved, which can make flexible adjustments under different production conditions and provide managers with predictions of the effects of different production scheduling plans.

[0004] Based on the above solutions, it can be found that there are still shortcomings 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 little consideration for the commonality of equipment in the production of cables, which leads to a decrease in the sharing of equipment in the cable production and processing workshop and an increase in the equipment vacancy rate in the cable production and processing workshop. On the other hand, there is not much attention paid to the relationship between the commonality of the required testing items and the production scheduling of 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 this invention is to provide an intelligent production scheduling management system for cable production and processing workshops, which solves the problems existing in the background art.

[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an intelligent production scheduling management system for a cable production and processing workshop, including: a prior data acquisition module, used to acquire production and processing data of various types of cables from the cable production and processing center, wherein the production and processing data includes the operation information of several production equipment and the associated production equipment corresponding to several demand testing items.

[0007] The preliminary production scheduling module is used to receive the cable production schedule sent by the cable production and processing center. The cable production schedule includes the estimated production volume and estimated delivery node of various types of cables, and to generate a preliminary production schedule for the cables.

[0008] The production scheduling optimization module is used to optimize the preliminary production schedule of cables based on several related production equipment corresponding to several required testing items for various types of cables, resulting in an optimized production schedule for cables.

[0009] The web-based integrated display is used to show the optimized production schedule for manufacturing cables.

[0010] The beneficial effects of the present invention are as follows: (1) The present invention obtains production and processing data of various types of cables from the cable production and processing center in the prior data acquisition module, which lays 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 cables, integrates the equipment sharing correlation between various types of cables, performs preliminary production scheduling for the cables, and obtains the preliminary production scheduling table for the cables. This overcomes the deficiency of neglecting this aspect in the prior art, improves the equipment sharing in the cable production and processing workshop, and reduces the equipment vacancy rate in the cable production and processing workshop.

[0012] (3) In the optimized production scheduling module, the present invention optimizes the preliminary production schedule of cables based on the associated production equipment corresponding to several required testing items of various types of cables, and obtains the optimized production schedule of cables, which makes up for the deficiencies in the prior art, improves the testing efficiency, reduces the difficulty of quality control, and reduces the consumption of testing resources. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

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

[0015] Figure 2 This is a schematic diagram of the link in this invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort 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 prior 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 scheduling module. Both the prior data acquisition module and the preliminary scheduling module are connected to the optimized scheduling module. The optimized scheduling module is connected to the Web integrated display terminal. The data warehouse is connected to both the preliminary scheduling module and the optimized scheduling module.

[0019] The prior data acquisition module is used to acquire production and processing data of various types of 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 demand testing items.

[0020] In a specific embodiment of the present invention, the operational information includes a power dataset and a functional dataset.

[0021] The power dataset specifically refers to the power operation data of the production equipment, such as current, voltage, and power.

[0022] The functional datasets of the aforementioned production equipment specifically reflect the data on the specific functions of the production equipment. For example, the drawing speed, drawing passes, and die orifice diameter of the wire drawing machine; the stranding pitch, stranding direction, and stranding pitch of the stranding machine; and the extrusion temperature, extrusion pressure, and screw speed of the extruder, etc., will not be elaborated here.

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

[0024] In a specific embodiment of the present invention, the preliminary production scheduling to obtain the preliminary production schedule for cables is specifically achieved by: obtaining the estimated production volume and estimated delivery node for each type of cable from the cable production table, and obtaining the historical average processing time corresponding to the unit output of each type of cable from the cable production and processing center. Specifically, the historical average processing time per unit output of each type of cable is obtained by dividing the processing time of each single-step processing of each type of cable by the processing output, and then averaging these values ​​to obtain the historical average processing time per unit output of each type of cable. The single-step processing specifically refers to producing only a certain type of cable without mixing it with other cables. The historical average processing time corresponding to the unit output of each type of cable is obtained by screening, and the estimated production node for each type of cable is determined by combining the estimated delivery node and the estimated production volume.

[0025] Specifically, the estimated processing time for each type of cable is multiplied by the historical average processing time corresponding to the unit output of each type of cable to obtain the estimated processing time for each type of cable. Combined with the estimated delivery time, the estimated production time for each type of cable is obtained.

[0026] The various types of production cables are sorted according to the estimated production node sequence. The first-ranked production cable is then used as the baseline production cable. The equipment sharing correlation α between the baseline production cable and the other types of production cables is then established. _i , where i is the number of the other types of cables produced, i = 1, 2, ..., n, and n is an integer greater than 2.

[0027] If α _i If the value is greater than or equal to α′, then this type of production cable is denoted as the compatible production cable of the baseline production cable, where α′ is the convergence value of the device common association degree stored in the data warehouse. This yields the set of compatible production cables {β1,β2,...,β′} corresponding to the baseline production cable. b ,...,β d}, b is the number of the adapted production cable, b = 1, 2, ..., d, d is an integer greater than 2, the shared correlation convergence value of the equipment is specifically for the purpose of limiting the adapted production cable.

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

[0029] Using the second-ranked production cable as the benchmark production cable, and several production cables ranked after the second as the production cables to be evaluated, the equipment sharing correlation between the benchmark production cable and each production cable to be evaluated is constructed in the same way, and the set of compatible production cables corresponding to the benchmark production cable is obtained in the same way.

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

[0031] Establish constraints and iterate through the sets of compatible production cables corresponding to various types of production cables to generate several links of production cables. Each link includes various types of production cables, and a preliminary production schedule for production cables is constructed.

[0032] Specifically, the combination of the first type of production cable and a randomly selected compatible production cable is taken as the first node, resulting in several first nodes. If a first node does not meet the constraint conditions, the first node is removed.

[0033] The number of the first node can be two or more, specifically a random combination of the first type of production cable and the adapter production cable.

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

[0035] For example, the initial production node is used as the production node for the first type of production cable after reordering, and the estimated processing time of the second type of production cable is added to the conversion time of the compensation equipment to obtain the interval time between the first type of production cable and the second type of cable. Based on the production node of the first type of production cable, the production node of the second type of 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 in the cable production workshop.

[0037] Randomly select a first node as the example first node, and remove the corresponding production cables according to the number of the example first node to obtain the various types of production cables after removal. Obtain the set of compatible production cables corresponding to the various types of production cables after removal. Randomly select the compatible production cables of the first type of production cable and the first type of production cable as the second node after sorting. If a second node does not meet the constraint conditions, remove the second node to obtain several compatible second nodes corresponding to the example first node. In this way, obtain several compatible third nodes corresponding to several compatible second nodes of the example first node, until the set of compatible production cables corresponding to all types of production cables has been traversed. Similarly, analyze to obtain several links of the remaining first nodes, summarize to obtain several links, remove duplicate paths, and obtain several links of production cables.

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

[0039] In a specific embodiment of the present invention, the method for constructing the equipment sharing correlation between the benchmark production cable and other types of production cables is as follows: extract the operation information of several production equipment from the production and processing data of various types of cables, obtain the operation information of several production equipment corresponding to the benchmark production cable and the operation information of several production equipment of other types of production cables, thereby determining the overlap and functional sharing of the production equipment of the benchmark production cable and other types of production cables.

[0040] Multiplying the overlap and functional sharing of the production equipment between the benchmark production cable and other types of production cables yields the equipment sharing correlation α between the benchmark production cable and other types of production cables. _i .

[0041] In a specific embodiment of the present invention, the method for determining the overlap and functional commonality of the production equipment for the benchmark production cable and other types of production cables is as follows: count several identical production equipment for the benchmark production cable and other types of production cables, and summarize 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 production equipment for the benchmark cable and other types of cables. _0_i .

[0042] Functional data is extracted from the operational information of the benchmark production cable and the operational information of other types of production cables. This data is used to determine the functional data offset between the benchmark production cable and several identical production equipment of other types of production cables. The average value is then used to obtain the functional data offset α′ between the benchmark production cable and the identical production equipment of other types of production cables. _1_i The power data offset α′ between the benchmark production cable and other types of production cables from the same equipment was obtained through similar processing. _2_i Through data transformation model θ _iFor the data to be converted, convert it into the first functional commonality α of the production equipment for the benchmark production cable and other types of production cables. _1_i Second functional commonality α _2_i The functional commonality between the production equipment of the benchmark production cable and other types of production cables is obtained by weighted summation.

[0043] It should be noted that the specific method for determining the functional data offset of the reference production cable and several identical production equipment of other types of production cables is as follows: extract the feature parameters of each functional data of several identical production equipment of other types of production cables from the operation information of the reference production cable, extract the feature parameters of each functional data of several identical production equipment from the operation information of other types of production cables, subtract them and take the absolute value to obtain the offset feature parameters of each functional data of the reference production cable and several identical equipment of other types of production cables, and accumulate them to obtain the functional data offset of the reference production cable and several identical equipment of other types of production cables.

[0044] It should also be noted that the functional commonality between the production equipment of the benchmark production cable and other types of production cables is obtained by weighted summation. The specific method is as follows: the first functional commonality and the second functional commonality between the benchmark production cable and the production equipment of other types of production cables are weighted respectively, and then summed to obtain the functional commonality between the benchmark production cable and the production equipment of other types of production cables. The 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 ahead of the estimated production node.

[0046] The optimized production scheduling module is used to optimize the preliminary production schedule of cables based on several related production equipment corresponding to several required testing items of various types of cables, so as to obtain an optimized production schedule of cables.

[0047] In a specific embodiment of the present invention, the optimization of the preliminary production schedule for the production cables is specifically achieved by: extracting several links of the production cables from the preliminary production schedule, and obtaining the equipment sharing correlation between the j-th type of production cable and the (j+1)-th type of production cable in the several links. The device sharing index for several links was obtained through numerical processing. h is the number of several links, h = 1, 2, ..., g, where g is an integer greater than 2, and j is the number of the cable produced in the link, j = 1, 2, ..., k, where k is an integer greater than 2.

[0048] Based on various types of production cables and their required production equipment across several production chains, and combined with several related production equipment corresponding to various required testing items for each type of cable, the set of required testing items for each type of production cable across several production chains is identified, and the testing commonality index across several production chains is evaluated.

[0049] The equipment sharing index and detection sharing index of several links are imported into the overall sharing index evaluation model, and the overall sharing index of several links is output. Import it Output the maximum value of the overall shared index and use the corresponding link as the optimized production schedule for the production cables.

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

[0051] In a specific embodiment of the present invention, the overall shared index evaluation model is specifically as follows: In the formula, λ1 and λ2 are the weight factors of the shared index of devices and the shared index of detection stored in the data warehouse, respectively.

[0052] In a specific embodiment of the present invention, the evaluation method for assessing the detection sharing index of several links is as follows: extract each required detection item and its corresponding associated production equipment from the required detection item set of various types of production cables in several links, and count the number τ′ of associated production equipment corresponding to the f-th required detection item of the j-th type of production cable in several links. _h_j_f Furthermore, it counts several identical required testing items and their corresponding identical associated production equipment for type j cables and type j+1 cables in several links, and summarizes the number of identical associated production equipment. And import it into the detection shared index model. In the output, the detection common index of several links is given, 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-based integrated display is used to show the optimized production schedule for the manufactured cables.

[0054] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications or additions should fall within the protection scope of the present invention.

Claims

1. An intelligent scheduling management system for a cable production processing plant, characterized by, include: The prior data acquisition module is used to acquire production and processing data of various types of 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 demand testing items. The operational information includes power datasets and functional datasets; The power dataset specifically reflects the power operation data of the production equipment; The functional dataset of the aforementioned production equipment is specifically reflected in the data of the specific functions of the production equipment. The preliminary production scheduling module is used to receive the cable production schedule sent by the cable production and processing center. The cable production schedule includes the estimated production volume and estimated delivery node of various types of cables, and to obtain the preliminary production schedule of the cables. The preliminary production schedule for producing cables is obtained through the following method: The estimated production volume and estimated delivery time of various types of cables are obtained from the cable production table. The historical average processing time corresponding to the unit output of various types of cables is obtained from the cable production and processing center. The historical average processing time corresponding to the unit output of various types of cables is selected and combined with the estimated delivery time and estimated production volume to determine the estimated production time of various types of cables. The various types of production cables are sorted according to the estimated production node sequence. The first-ranked production cable is then used as the baseline production cable. The equipment sharing correlation between the baseline production cable and the other types of production cables is then established. ,in For the numbering of other types of manufactured cables, , It is an integer greater than 2; like Then, this type of manufactured cable is recorded as the compatible manufactured cable of the reference manufactured cable. By using the convergence value of the shared correlation degree of devices stored in the data warehouse, the set of compatible production cables corresponding to the baseline production cable is obtained. , To match the cable part numbering, , The value is an integer greater than 2. The shared correlation convergence value of the devices is specifically for the purpose of boundary adaptation of production cables. Using the second-ranked production cable as the benchmark production cable, and several production cables ranked after the second as the production cables to be evaluated, the equipment sharing correlation between the benchmark production cable and each production cable to be evaluated is constructed in the same way, and the set of compatible production cables corresponding to the benchmark production cable is obtained in the same way. By analogy, various types of production cables are constructed in a sorted manner. Corresponding compatible production cable set , These are the serial numbers for the various types of manufactured cables after sorting. , It is an integer greater than 2; Establish constraints and iterate through the sets of compatible production cables corresponding to various types of production cables to generate several links of production cables. Each link includes various types of production cables, and a preliminary production schedule for production cables is constructed. The specific method for establishing the shared correlation between the equipment used to construct the benchmark production cable and other types of production cables is as follows: The operation information of several production equipment is extracted from the production and processing data of various types of cables. The operation information of several production equipment corresponding to the benchmark production cable and the operation information of several production equipment of other types of cables are obtained. In this way, the overlap and functional sharing of the production equipment of the benchmark production cable and other types of cables are determined. Multiplying the overlap and functional commonality of the production equipment between the benchmark production cable and other types of production cables yields the equipment commonality correlation between the benchmark production cable and other types of production cables. ; The production scheduling optimization module is used to optimize the preliminary production schedule of cables based on the required testing items of various types of cables and the corresponding related production equipment, so as to obtain the optimized production schedule of cables. The web-based integrated display is used to show the optimized production schedule for manufacturing cables.

2. The intelligent production scheduling management system for a cable production and processing workshop according to claim 1, characterized in that, The specific method for determining the overlap and functional commonality of the production equipment for the benchmark production cable and other types of production cables is as follows: The statistical benchmark for cable production includes several identical production equipment used in the production of other types of cables, and the number of these identical production equipment is summarized. Through the production equipment overlap model , To summarize the total number of production equipment for the benchmark cable, output the overlap between the production equipment for the benchmark cable and other types of cables. ; Functional data is extracted from the operational information of the benchmark production cable and other types of production cables to determine the functional data offset between the benchmark production cable and several identical production equipment of other types of production cables. The average value is then used to obtain the functional data offset between the benchmark production cable and the identical production equipment of other types of production cables. The power data offset between the benchmark production cable and other types of production cables from the same equipment was obtained through similar processing. Through data transformation model , The data to be converted is then converted into the first functional commonality of the production equipment for the benchmark production cable and other types of production cables. Second Functional Commonality The functional commonality between the production equipment of the benchmark production cable and other types of production cables is obtained by weighted summation.

3. The intelligent production scheduling management system for a cable production and processing workshop according to claim 1, characterized in that, The constraint condition is that the production node is ahead of the estimated production node.

4. The intelligent production scheduling management system for a cable production and processing workshop according to claim 1, characterized in that, The optimization method for the preliminary production schedule of the cables is as follows: Extract several production links of the cables from the preliminary production schedule, and obtain the equipment sharing correlation between the j-th type of production cable and the (j+1)-th type of production cable in these links. The device sharing index for several links was obtained through numerical processing. , These are the numbers for several links. , It is an integer greater than 2. This refers to the cable number produced in the link. , It is an integer greater than 2; Identify the required testing items for various types of production cables across several supply chains, and evaluate the shared testing index across these supply chains. ; The equipment sharing index and detection sharing index of several links are imported into the overall sharing index evaluation model, and the overall sharing index of several links is output. and import it Output the maximum value of the overall shared index and use the corresponding link as the optimized production schedule for the production cables.

5. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4, characterized in that, The set of demand testing items includes each demand testing item and its corresponding associated production equipment.

6. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4, characterized in that, The overall shared index evaluation model is as follows: In the formula , These are the weighting factors for the shared index of devices stored in the data warehouse and the weighting factors for the shared index of detection.

7. The intelligent production scheduling management system for a cable production and processing workshop according to claim 4, characterized in that, The specific evaluation method for assessing the detection common index of several links is as follows: Extract each requirement testing item and its corresponding associated production equipment from the requirement testing item set of various types of cables in several links, and count the number of associated production equipment corresponding to the f-th requirement testing item of the j-th type of cable in several links. Furthermore, it counts several identical required testing items and their corresponding identical associated production equipment for type j cables and type j+1 cables in several links, and summarizes the number of identical associated production equipment. And import it into the detection shared index model. In the output, the detection shared index of several links is given, among which... This is the number of the required testing item. , It is an integer greater than 2.

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