Cable full-process production scheduling method and device, electronic equipment and storage medium

Abstract

The invention discloses a cable full-process production scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: determining an equipment capability model which is used for describing the corresponding adaptive dimension information of different types of equipment, the dimension information comprises at least one process, a material type of a cable product corresponding to the process, a diameter range of the cable product corresponding to the process, and a core number range and a drum specification of the cable product corresponding to the process; determining process parameters of a target cable product corresponding to each process in the whole process of the cable; the process parameters comprise a material type, a diameter range and a core number range of the target cable product; and determining target equipment matched with the target cable product corresponding to each process in the whole process of the cable according to the equipment capability model and the process parameters of the target cable product. According to the method, matching can be carried out through the equipment capability model and the process parameters, and the problem that the workload of manually configuring the binding relation between the equipment and the semi-finished product is large can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable production scheduling, and particularly to a full-process cable production scheduling method, device, electronic device, and storage medium. Background Art

[0002] As one of the largest supporting industries in the national economy, the cable industry is a very typical discrete industry with multiple varieties, small batches, and multiple processes. After breaking down to the models, specifications, and colors of semi-finished products, large enterprises have hundreds of thousands of varieties, hundreds of production devices, and the same device can process different processes, resulting in tens of millions of binding relationships. Due to the large number of varieties in the weak current cable industry, when initializing production resources and product data in the APS software, the workload of manually configuring the binding relationship between devices and semi-finished products is huge and very time-consuming. Summary of the Invention

[0003] The present invention provides a full-process cable production scheduling method, device, electronic device, and storage medium to solve the problem of the large workload of manually configuring the binding relationship between devices and semi-finished products.

[0004] According to one aspect of the present invention, a full-process cable production scheduling method is provided. The method includes:

[0005] Determine an equipment capacity model, where the equipment capacity model is used to describe the dimension information corresponding to different types of equipment, and the dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification;

[0006] Determine the process parameters of the target cable product corresponding to each process in the full process of the cable; the process parameters include the material type, diameter range, and core number range of the target cable product;

[0007] According to the equipment capacity model and the process parameters of the target cable product, determine the target equipment matched by the target cable product corresponding to each process in the full process of the cable.

[0008] According to another aspect of the present invention, a full-process cable production scheduling device is provided. The device includes:

[0009] A model determination module, configured to determine an equipment capacity model, where the equipment capacity model is used to describe the dimension information corresponding to different types of equipment, and the dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification;

[0010] A parameter determination module, configured to determine process parameters of a target cable product corresponding to each process in the entire cable production process; the process parameters include the material type, diameter range, and core number range of the target cable product;

[0011] An equipment determination module, configured to determine a target equipment matched with the target cable product corresponding to each process in the entire cable production process according to the equipment capability model and the process parameters of the target cable product.

[0012] According to another aspect of the present invention, there is provided an electronic device, the electronic device includes:

[0013] At least one processor; and

[0014] A memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the cable full-process scheduling method according to any embodiment of the present invention.

[0016] According to another aspect of the present invention, there is provided a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the cable full-process scheduling method according to any embodiment of the present invention when executed by a processor.

[0017] In the technical solution of the embodiment of the present invention, the equipment capability model is used to describe dimension information corresponding to different types of equipment. The dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification; by determining the equipment capability model, it is convenient to quickly match the equipment for processing cable products corresponding to different processes according to the equipment capability model in the future, and further determine the process parameters of the target cable product corresponding to each process in the entire cable production process; the process parameters include the material type, diameter range, and core number range of the target cable product; thus, the process parameters of the target cable product are matched with the dimension information in the equipment capability model to accurately obtain the target equipment matched with the target cable product corresponding to each process in the entire cable production process, providing an actual reference solution for the processing of cable products in the entire production process, so that the target equipment can be quickly used to process the target cable product in the actual production process, and solving the problem of the large workload of manually configuring the binding relationship between the equipment and the semi-finished products.

[0018] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0020] Figure 1 is a flowchart of a full-process production scheduling method for cables according to an embodiment of the present invention;

[0021] Figure 2 is a schematic structural diagram of a full-process production scheduling device for cables according to an embodiment of the present invention;

[0022] Figure 3 is a schematic structural diagram of an electronic device for implementing the full-process production scheduling method for cables in the embodiments of the present invention. Detailed Embodiments

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] It should be noted that the terms "target" and the like in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0025] Embodiment 1

[0026] Figure 1The flowchart of a cable full-process production scheduling method provided by an embodiment of the present invention. This embodiment is applicable to the situation of automatically matching the processing equipment corresponding to the cable products in each process in the cable full process. This method can be executed by a cable full-process production scheduling device, which can be implemented in the form of hardware and / or software, and can be configured in any electronic device with network communication functions. As Figure 1 shown, the method includes:

[0027] S110. Determine the equipment capability model, which is used to describe the dimension information corresponding to different types of equipment. The dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification.

[0028] Among them, different types of equipment include mica wrapping machines, core wire extrusion machines, sheath extrusion machines, physical foaming machines, stranding machines, single twisting machines, cage type cabling machines, braiding machines, etc. Each process in the cable full process includes at least conductor stranding, mica wrapping, insulation extrusion, foaming extrusion, stranding, cabling, braiding, oxygen barrier extrusion, inner sheath extrusion, outer sheath extrusion, and armoring. The material type includes one or more of PE raw materials, PVC raw materials, XLPE raw materials, and YW foaming raw materials.

[0029] Among them, the equipment capability model can include a first association relationship, a second association relationship, a third association relationship, and a fourth association relationship. The first association relationship can be the association relationship between different types of equipment and the material type of the cable product corresponding to the process under different processes. The second association relationship can be the association relationship between different types of equipment and the diameter range of the cable product corresponding to the process under different processes. The diameter range of the cable product corresponding to different types of equipment can be a characteristic of the equipment itself, that is, the equipment can process the cable products within this diameter range. The diameter range includes the minimum outer diameter and the maximum outer diameter. The third association relationship can be the association relationship between different types of equipment and the core number range of the cable product corresponding to the process under different processes. The core number range of the cable product corresponding to different types of equipment can be a characteristic of the equipment itself, that is, the equipment can process the cable products within this core number range. The core number range includes the minimum core number and the maximum applicable core number. The fourth association relationship can be the association relationship between different types of equipment and the reel specification under different processes.

[0030] Further, according to the equipment capability model can include a first association relationship, a second association relationship, a third association relationship, and a fourth association relationship, construct the equipment capability model.

[0031] S120. Determine the process parameters of the target cable product corresponding to each process in the entire cable production process; the process parameters include the material type, diameter range, and core number range of the target cable product.

[0032] Among them, the process parameters are used to describe the performance characteristics of the target cable product corresponding to each process. The diameter range of the target cable product includes the minimum outer diameter and the maximum outer diameter of the target cable product. The core number range of the target cable product includes the minimum core number and the maximum compatible core number of the target cable product.

[0033] Specifically, in the entire cable production process of producing cables, there are multiple small processes. Since the cable products processed in each process are also different, the equipment used in each process may also be different. In order to accurately determine the equipment used in each process, it is necessary to accurately determine the process parameters of the target cable product corresponding to each process.

[0034] Furthermore, in the entire cable production process of producing cables, it generally includes a complete set of processes and customized processes.

[0035] The complete set of processes can be understood as the mature technology in the current cable production process, that is, the process parameters of the target cable product corresponding to each process are inherent, and the corresponding process parameters can be directly obtained from the parameters of historical cable production.

[0036] The customized process can be understood as the process specified according to the requirements for different cable finished products, that is, to determine the process parameters of the target cable product corresponding to each process in the entire cable production process according to the requirements for the cable finished products. Among them, the requirements for the cable finished products can be understood as the characteristic information of the cable finished products.

[0037] S130. According to the equipment capacity model and the process parameters of the target cable product, determine the target equipment matched with the target cable product corresponding to each process in the entire cable production process.

[0038] Specifically, input the process parameters of the target cable product into the equipment capacity model to perform matching in the equipment capacity model according to the material type, diameter range, and core number range of the target cable product, so as to quickly and accurately obtain the target equipment and the reel specifications matched with the target cable product corresponding to each process in the entire cable production process, and use the target equipment with this reel specification to process the target cable product.

[0039] It should be noted that the target equipment matched by this method can be directly used in the corresponding process of cable production. However, if there is no idle equipment among the target equipment matched by this method during the actual production process, it can wait until there is idle equipment and then carry out the cable production of the corresponding process, or other equipment can be manually matched.

[0040] In the technical solution of the embodiment of the present invention, the device capability model is used to describe the dimension information corresponding to different types of devices. The dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification. By determining the device capability model, it is convenient to quickly match the devices for processing cable products corresponding to different processes according to the device capability model subsequently, and further determine the process parameters of the target cable product corresponding to each process in the whole cable process. The process parameters include the material type, diameter range, and core number range of the target cable product. Thus, the process parameters of the target cable product are matched with the dimension information in the device capability model to accurately obtain the target device matched by the target cable product corresponding to each process in the whole cable process, providing an actual reference solution for the processing of cable products in the whole process, so that the target device can be quickly used to process the target cable product in the actual production process, and solving the problem of the large workload of manually configuring the binding relationship between the device and the semi-finished product.

[0041] Embodiment 2

[0042] The technical solution of this embodiment describes in detail the determination process of the device capability model in the foregoing embodiment on the basis of the above embodiment. This embodiment can be combined with each optional solution in one or more of the above embodiments.

[0043] In this embodiment, determining the device capability model includes steps A1 - A2:

[0044] Step A1, obtain the dimension information of different types of devices at historical moments corresponding to different processes.

[0045] Specifically, in historical production of different types of devices, there is a lot of dimension information of different types of devices corresponding to different processes. In order to accurately construct the device capability model, obtain the dimension information of different types of devices at historical moments corresponding to different processes, and determine the existing first association relationship, second association relationship, third association relationship, and fourth association relationship among them.

[0046] Among them, the first association relationship can be the association relationship between the material types of cable products corresponding to different types of devices and processes under different processes. The second association relationship can be the association relationship between the diameter ranges of cable products corresponding to different types of devices and processes under different processes. The diameter range of the cable products corresponding to different types of devices and processes can be a characteristic of the device itself, that is, the device can process cable products within this diameter range. The diameter range includes the minimum outer diameter and the maximum outer diameter. The third association relationship can be the association relationship between the core number ranges of cable products corresponding to different types of devices and processes under different processes. The core number range of the cable products corresponding to different types of devices and processes can be a characteristic of the device itself, that is, the device can process cable products within this core number range. The core number range includes the minimum core number and the maximum matching core number. The fourth association relationship can be the association relationship between different types of devices and the coil specifications under different processes.

[0047] Step A2: Construct a device capability model by learning the association relationship between the dimensional information at the historical moment corresponding to different processes and different types of devices.

[0048] Specifically, by learning the first association relationship, the second association relationship, the third association relationship, and the fourth association relationship, an accurate construction can be achieved.

[0049] Optionally, the dimensional information further includes a production speed constraint and a device efficiency coefficient. The production speed constraint is used to limit the maximum production capacity of the device, and the device efficiency coefficient is used to limit the production capacity loss coefficient of the device.

[0050] Specifically, obtain the reference production speed constraint and the reference device efficiency coefficient corresponding to different processes of different types of devices in historical production, and then learn the fifth association relationship between the reference production speed constraint and the reference device efficiency coefficient corresponding to different processes and different types of devices, and construct the fifth association relationship in the device capability model.

[0051] Furthermore, after determining the target device corresponding to each process in the entire cable process, the production speed constraint and the device efficiency coefficient of the target device matched by the target cable product can be determined according to the device capability model; thus, according to the production speed constraint and the device efficiency coefficient of the target device, the unit production capacity of the target device can be determined, realizing an accurate prediction of the unit production capacity of the target device, greatly reducing the workload of manual calculation of the device production capacity, and at the same time avoiding errors and time-consuming situations in the production capacity calculated manually by experience, which may lead to errors in the production scheduling results.

[0052] In this embodiment, optionally, after determining the unit production capacity of the target device, the method further includes: obtaining the production capacity information of the target device in a historical time period, and updating the production speed constraint and the equipment efficiency coefficient of the target device according to the production capacity information. The historical time period is the time of a preset time period before the current moment. Since there will be different degrees of loss during the use of the device, that is, there is a limit to the service life of the device. The longer it is used, the worse the production effect. Therefore, the continuous update of the production speed constraint and the equipment efficiency coefficient in this embodiment can ensure the accuracy of the device production capacity prediction.

[0053] It should be noted that it is very difficult for existing APS software to be actually implemented and used in the weak current cable industry. It can only be partially applied in a certain process and certain products. Even the scheduling results can only be used as a reference for planners, and it does not actually reduce the workload of planners. The device capability model of the present invention can be used in existing APS software, and the full-process cable scheduling method of the present invention can also be used in existing APS software, thereby greatly improving the convenience (saving time and effort) of APS software in basic data configuration, and improving the user experience in the actual scheduling application of APS in the weak current cable industry.

[0054] The technical solution of the embodiment of the present invention accurately constructs a device capability model by obtaining the dimension information of different types of devices at corresponding historical moments in different processes, and learning the correlation relationship between the dimension information of the corresponding historical moments in different processes and different types of devices, realizing the automatic matching between full-automatic cable products and devices, and greatly improving the matching efficiency between cable products and devices in different processes.

[0055] Embodiment III

[0056] Figure 3 FIG. 13 is a schematic structural diagram of a full-process cable scheduling device provided by an embodiment of the present invention. This embodiment is applicable to the situation where automatic matching is performed on processing devices corresponding to cable products in each process in the full process of cables. The full-process cable scheduling device can be implemented in the form of hardware and / or software, and the full-process cable scheduling device can be configured in any electronic device with network communication functions. As Figure 3 shown, the full-process cable scheduling device of the present invention includes:

[0057] A model determination module 210, configured to determine a device capability model, where the device capability model is used to describe the dimension information corresponding to different types of devices, and the dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification;

[0058] A parameter determination module 220, configured to determine process parameters of a target cable product corresponding to each process in the entire cable production process; the process parameters include the material type, diameter range, and core number range of the target cable product.

[0059] An equipment determination module 230, configured to determine a target equipment matched with the target cable product corresponding to each process in the entire cable production process according to the equipment capacity model and the process parameters of the target cable product.

[0060] Based on the above embodiments, optionally, a model determination module is configured to: obtain dimensional information of different types of equipment at historical moments corresponding to different processes; construct an equipment capacity model by learning the association relationship between the dimensional information of the historical moments corresponding to different processes and different types of equipment.

[0061] Based on the above embodiments, optionally, the dimensional information further includes a production speed constraint and an equipment efficiency coefficient, the production speed constraint is used to limit the maximum production capacity of the equipment, and the equipment efficiency coefficient is used to limit the production capacity loss coefficient of the equipment.

[0062] Based on the above embodiments, optionally, the equipment determination module further includes an equipment production capacity determination unit, and the equipment production capacity determination unit is configured to: determine the production speed constraint and the equipment efficiency coefficient of the target equipment matched with the target cable product according to the equipment capacity model; determine the unit production capacity of the target equipment according to the production speed constraint and the equipment efficiency coefficient of the target equipment.

[0063] Based on the above embodiments, optionally, the equipment production capacity determination unit includes a production capacity update subunit, and the production capacity update subunit is configured to: obtain the production capacity information of the target equipment in a historical time period, and update the production speed constraint and the equipment efficiency coefficient of the target equipment according to the production capacity information, where the historical time period is the time of a preset time period before the current moment.

[0064] Based on the above embodiments, optionally, each process in the entire cable production process at least includes conductor stranding, mica wrapping, insulation extrusion, foam extrusion, pair twisting, cable laying, braiding, oxygen barrier extrusion, inner sheath extrusion, outer sheath extrusion, and armoring.

[0065] Based on the above embodiments, optionally, the material type includes one or more of PE raw materials, PVC raw materials, XLPE raw materials, and YW foam raw materials.

[0066] The cable full-process production scheduling device provided by the embodiments of the present invention can execute the cable full-process production scheduling method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0067] Embodiment 4

[0068] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0069] Figure 3 FIG. shows a schematic structural diagram of an electronic device that can be used to implement the full-process production scheduling method for cables according to an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as, for example, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, for example, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0070] As Figure 3 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0071] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0072] The processor 11 may be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the full-process scheduling method for cables.

[0073] In some embodiments, the full-process scheduling method for cables may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the full-process scheduling method for cables described above may be executed. Alternatively, in other embodiments, the processor 11 may be configured to execute the full-process scheduling method for cables in any other suitable manner (e.g., by means of firmware).

[0074] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0075] The computer program for implementing the method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0076] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0077] In order to provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0078] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0079] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0080] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0081] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A full-process production scheduling method for cables, characterized in that The method includes: Determining a device capability model, which is used to describe the dimension information adapted to different types of devices. The dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification; Determining the process parameters of the target cable product corresponding to each process in the entire cable process; the process parameters include the material type, diameter range, and core number range of the target cable product; Determining the target device matched with the target cable product corresponding to each process in the entire cable process according to the device capability model and the process parameters of the target cable product.

2. The method according to claim 1, wherein Determining the device capability model includes: Obtaining the dimension information of different types of devices at historical moments corresponding to different processes; Constructing a device capability model by learning the correlation relationship between the dimension information of the historical moments corresponding to different processes and different types of devices.

3. The method according to claim 1 or 2, characterized in that, The dimension information further includes a production speed constraint and a device efficiency coefficient. The production speed constraint is used to limit the maximum production capacity of the device, and the device efficiency coefficient is used to limit the production capacity loss coefficient of the device.

4. The method according to claim 3, wherein After determining the target device matched with each process in the entire cable process, the method further includes: Determining the production speed constraint and the device efficiency coefficient of the target device matched with the target cable product according to the device capability model; Determining the unit production capacity of the target device according to the production speed constraint and the device efficiency coefficient of the target device.

5. The method according to claim 4, wherein After determining the unit production capacity of the target device, the method further includes: Obtaining the production capacity information of the target device in the historical time period, and updating the production speed constraint and the device efficiency coefficient of the target device according to the production capacity information. The historical time period is the time of a preset time period before the current moment.

6. The method according to claim 1, wherein Each process in the entire cable process at least includes conductor stranding, mica wrapping, insulation extrusion, foam extrusion, pair twisting, cable laying-up, braiding, oxygen isolation extrusion, inner sheath extrusion, outer sheath extrusion, and armor installation.

7. The method according to claim 1, characterized in that, The material type includes one or more of PE raw materials, PVC raw materials, XLPE raw materials, and YW foam raw materials.

8. A full-process production scheduling device for cables, characterized in that, The device includes: A model determination module for determining a device capability model, which is used to describe the dimension information adapted to different types of devices. The dimension information includes at least one process, the material type of the cable product corresponding to the process, the diameter range of the cable product corresponding to the process, the core number range of the cable product corresponding to the process, and the reel specification; A parameter determination module for determining the process parameters of the target cable product corresponding to each process in the entire cable process; the process parameters include the material type, diameter range, and core number range of the target cable product; A device determination module for determining the target device matched with the target cable product corresponding to each process in the entire cable process according to the device capability model and the process parameters of the target cable product.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the full-process scheduling method for cables according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for implementing the full-process scheduling method for cables according to any one of claims 1-7 when the computer instructions are executed by a processor.

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