Insulated cable and preparation method and system thereof

Abstract

The present invention provides an insulated cable and a preparation method and system thereof, which relate to the technical field of insulated cables. The method comprises determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on a video shot of the cable under current twisting speed processing; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a shot image of a finished cable obtained by each preliminary twisting speed processing; constructing a graph structure based on the shot image of the finished cable obtained by each preliminary twisting speed processing; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to the cable twisting device and controlling the cable twisting device to twist the cable. The method can quickly and accurately determine the twisting speed of the cable.

Description

Technical Field

[0001] The present invention relates to the technical field of insulated cables, and in particular to an insulated cable and a preparation method and system thereof. Background Art

[0002] Insulated cables are widely used in power transmission, communication, construction, and industry. Their quality and performance are directly related to the safety and reliability of the system. In the production process of insulated cables, the twisting speed is a key parameter, which not only affects the mechanical strength and electrical properties of the cable, but also determines the production efficiency and cost control. Too fast twisting speed may cause the conductors to be loosely wound, which will weaken the overall mechanical strength of the cable. Too slow twisting speed will directly extend the production time per unit length of cable.

[0003] Therefore, how to quickly and accurately determine the cable twisting speed is a problem that needs to be solved urgently. Summary of the invention

[0004] The main technical problem solved by the present invention is how to quickly and accurately determine the twisting speed of the cable.

[0005] According to a first aspect, the present invention provides a method for preparing an insulated cable, comprising: obtaining a video of the cable being processed at a current twisting speed; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video of the cable being processed at the current twisting speed; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a photographic image of a finished cable obtained by processing each preliminary twisting speed; constructing a graph structure based on the photographic image of the finished cable obtained by processing each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, a node feature of each node comprising a photographic image of a finished cable obtained by processing each preliminary twisting speed, and edges between nodes being similarities between photographic images of the finished cable obtained by processing each preliminary twisting speed; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to the cable twisting device and controlling the cable twisting device to twist the cable.

[0006] In a possible implementation, the preliminary strand speed determination model is a gated recurrent unit.

[0007] In a possible implementation, the input of the graph convolutional network is the graph structure, and the output of the graph convolutional network is the target twisting speed.

[0008] In a possible implementation, the input of the preliminary stranding speed determination model is a video of the cable being processed at the current stranding speed, and the output of the preliminary stranding speed determination model is a plurality of preliminary stranding speeds.

[0009] According to a second aspect, the present invention provides a preparation system for an insulated cable, comprising: a first acquisition module, used to acquire a video shot of the cable under a current twisting speed processing; a preliminary twisting speed determination module, used to determine a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video shot of the cable under the current twisting speed processing; a second acquisition module, used to send the plurality of preliminary twisting speeds to a cable twisting device, and acquire a shot image of a finished cable obtained by each preliminary twisting speed processing; a construction module, used to construct a graph structure based on the shot image of the finished cable obtained by each preliminary twisting speed processing, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, a node feature of each node comprising a shot image of a finished cable obtained by each preliminary twisting speed processing, and an edge between nodes being a similarity between the shot images of the finished cable obtained by each preliminary twisting speed processing; a target twisting speed determination module, used to process the graph structure based on a graph convolutional network to determine a target twisting speed; a sending module, used to send the target twisting speed to the cable twisting device and control the cable twisting device to twist the cable.

[0010] In a possible implementation, the preliminary strand speed determination model is a gated recurrent unit.

[0011] In a possible implementation, the input of the graph convolutional network is the graph structure, and the output of the graph convolutional network is the target twisting speed.

[0012] In a possible implementation, the input of the preliminary stranding speed determination model is a video of the cable being processed at the current stranding speed, and the output of the preliminary stranding speed determination model is a plurality of preliminary stranding speeds.

[0013] According to a third aspect, an embodiment of the present invention provides an electronic device, comprising: a processor; a memory; and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method as described above, the method comprising: obtaining a video shot of a cable under a current twisting speed processing; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video shot of the cable under the current twisting speed processing; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a shot image of a finished cable obtained by processing each preliminary twisting speed; constructing a graph structure based on the shot image of the finished cable obtained by processing each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, the node feature of each node comprising a shot image of a finished cable obtained by processing each preliminary twisting speed, and the edges between the nodes being the similarity between the shot images of the finished cable obtained by processing each preliminary twisting speed; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to a cable twisting device and controlling the cable twisting device to twist the cable.

[0014] According to the fourth aspect, the present embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for preparing an insulated cable provided above, the method comprising: obtaining a video shot of the cable under a current twisting speed; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video shot of the cable under the current twisting speed; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a shot image of a finished cable obtained by processing each preliminary twisting speed; constructing a graph structure based on the shot image of the finished cable obtained by processing each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, the node feature of each node comprising a shot image of the finished cable obtained by processing each preliminary twisting speed, and the edges between the nodes being the similarity between the shot images of the finished cable obtained by processing each preliminary twisting speed; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to a cable twisting device and controlling the cable twisting device to twist the cable.

[0015] The present invention provides an insulated cable and a preparation method and system thereof, the method comprising obtaining a video of the cable being processed at a current twisting speed; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video of the cable being processed at the current twisting speed; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a photographic image of a finished cable obtained by processing at each preliminary twisting speed; constructing a graph structure based on the photographic image of the finished cable obtained by processing at each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, a node feature of each node comprising a photographic image of a finished cable obtained by processing at each preliminary twisting speed, and edges between nodes being similarities between photographic images of the finished cable obtained by processing at each preliminary twisting speed; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to a cable twisting device and controlling the cable twisting device to twist the cable, the method being capable of quickly and accurately determining the twisting speed of the cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of an application scenario of a method for preparing an insulated cable provided in an embodiment of the present invention;

[0017] Figure 2 A schematic diagram of a process for preparing an insulated cable provided in an embodiment of the present invention;

[0018] Figure 3 A schematic diagram of a system for preparing an insulated cable provided in an embodiment of the present invention;

[0019] Figure 4 A schematic diagram of an electronic device provided by an embodiment of the present invention;

[0020] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present invention better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present invention are not shown or described in the specification, this is to avoid the core part of the present invention being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0022] Figure 1 A schematic diagram of an application scenario of a method for preparing an insulated cable provided in an embodiment of the present invention. Figure 1 An application scenario of the method for preparing an insulated cable may include a server 11, a network 12, a terminal 13 and a storage device 14.

[0023] In some embodiments, the server 11 may be a single server or a server group. The server 11 may access information and / or data stored in the terminal 13 or the storage device 14 through the network 12. In some embodiments, the server 11 may be used to execute Figure 2 A method for preparing an insulated cable is shown in FIG.

[0024] The network 12 may facilitate the exchange of information and / or data. In some embodiments, the network 12 may be any form of wired or wireless network, or any combination thereof.

[0025] Terminal 13 may refer to one or more terminal devices used by a user. In some embodiments, terminal 13 may include one or more combinations of a mobile device, a tablet computer, a laptop computer, and the like.

[0026] The storage device 14 may store data and / or instructions. For example, the storage device 14 may store data instructions of a method for preparing an insulated cable.

[0027] In an embodiment of the present invention, there is provided Figure 2 A method for preparing an insulated cable is shown, and the method for preparing an insulated cable comprises steps S1 to S6:

[0028] Step S1, obtaining a video of the cable being processed at the current twisting speed.

[0029] In some embodiments, a camera or other imaging device may be used to record continuous images of the cable production process at a specific twisting speed to obtain a video of the cable being processed at the current twisting speed.

[0030] Step S2, determining a plurality of preliminary stranding speeds using a preliminary stranding speed determination model based on a video of the cable being processed at the current stranding speed.

[0031] The preliminary strand speed determination model is a gated recurrent unit.

[0032] The input of the preliminary stranding speed determination model is a video shot of the cable under the current stranding speed processing, and the output of the preliminary stranding speed determination model is a plurality of preliminary stranding speeds.

[0033] The video records continuous images of the cable throughout the entire stranding process, showing the state changes at every moment. The video can help identify quality problems that occur during the stranding process, such as broken strands, uneven surfaces, uneven sheath thickness, etc. The video not only provides static image information, but also captures dynamic features of the stranding process, such as the relative movement between conductors and the flow of sheath materials.

[0034] By using the video shot of the cable under the current stranding speed, we can capture rich dynamic information and visual features of the stranding process, identify potential quality problems, analyze dynamic features, and use the preliminary stranding speed determination model to conduct in-depth analysis of the time series data to ultimately determine multiple preliminary stranding speeds.

[0035] Gated recurrent units are particularly suitable for processing and predicting data sequences with temporal properties. Gated recurrent units control the flow of information by introducing a "gate" mechanism, and can process video information of continuous time periods.

[0036] The preliminary strand speed is a set of strand speed values ​​that may be suitable for production output by the preliminary strand speed determination model. Each speed value represents a possible choice, and the subsequent steps will screen out the most optimized speed. For example, after the preliminary strand speed determination model analyzes the video, it outputs five different strand speed values, such as 150 m / min, 160 m / min, 170 m / min, 180 m / min, and 190 m / min. These values ​​will be verified and compared in the next step.

[0037] In some embodiments, the preliminary stranding speed determination model includes a winding tightness determination layer, a sheath thickness uniformity determination layer, and a preliminary stranding speed output layer. The input of the winding tightness determination layer is a video shot of the cable under the current stranding speed, the output of the winding tightness determination layer is the winding tightness of the cable under the current stranding speed, the input of the sheath thickness uniformity determination layer is a video shot of the cable under the current stranding speed, the output of the sheath thickness uniformity determination layer is the uniformity of the cable sheath thickness under the current stranding speed, the input of the preliminary stranding speed output layer is the winding tightness of the cable under the current stranding speed, the uniformity of the cable sheath thickness under the current stranding speed, and the output of the preliminary stranding speed output layer is multiple preliminary stranding speeds.

[0038] Step S3, sending the multiple preliminary stranding speeds to the cable stranding equipment, and obtaining a photographic image of the finished cable product obtained by processing each preliminary stranding speed.

[0039] For each stranding speed, a section of cable is produced and photographed to obtain photographic images of the finished cable obtained by processing at each preliminary stranding speed.

[0040] Step S4, constructing a graph structure based on the photographed images of the finished cable products obtained by each preliminary stranding speed, the graph structure including multiple nodes and multiple edges between the multiple nodes, each node identifies a preliminary stranding speed, the node feature of each node includes the photographed image of the finished cable products obtained by each preliminary stranding speed, and the edges between the nodes are the similarities between the photographed images of the finished cable products obtained by each preliminary stranding speed.

[0041] A graph structure is a data structure, which consists of nodes (vertices) and edges (edges). Each node in the graph structure corresponds to a preliminary twisting speed, and the edges between the nodes represent the similarity of the finished cable images at the two speeds. In some embodiments, a similarity calculation algorithm can be used to determine the similarity between the captured images of the finished cable products processed at each preliminary twisting speed. The similarity calculation algorithm can be a neural network algorithm. The graph structure can represent nodes and the relationships (edges) between them. This structure is very suitable for expressing the mutual influence between finished cables at different twisting speeds. Each node represents a preliminary twisting speed, and the edge reflects the similarity of the finished cable images at the two speeds. In this way, the connection between different speeds can be intuitively displayed.

[0042] Step S5: Process the graph structure based on a graph convolutional network to determine a target twisting speed.

[0043] Graph convolutional network is a deep learning model specially designed to process graph structured data and can capture complex correlation patterns between nodes.

[0044] The input of the graph convolution network is the graph structure, and the output of the graph convolution network is the target twisting speed. The graph convolution network can extract valuable information from the graph structure through complex nonlinear transformation, thereby determining the target twisting speed.

[0045] Step S6, sending the target twisting speed to the cable twisting equipment and controlling the cable twisting equipment to twist the cable.

[0046] When the target twisting speed is determined, it is sent to the cable twisting equipment and controls the cable twisting equipment to twist the cable.

[0047] The invention also provides an insulating cable prepared by a method for preparing an insulating cable.

[0048] Based on the same inventive concept, Figure 3 A schematic diagram of a system for preparing an insulated cable provided in an embodiment of the present invention, wherein the system for preparing an insulated cable comprises:

[0049] A first acquisition module 31 is used to acquire a video of the cable being processed at a current twisting speed;

[0050] A preliminary stranding speed determination module 32, configured to determine a plurality of preliminary stranding speeds using a preliminary stranding speed determination model based on a video of the cable being processed at a current stranding speed;

[0051] A second acquisition module 33 is used to send the multiple preliminary stranding speeds to the cable stranding equipment and obtain a photographic image of the finished cable obtained by processing each preliminary stranding speed;

[0052] A construction module 34 is used to construct a graph structure based on the photographed image of the finished cable obtained by processing each of the preliminary stranding speeds, wherein the graph structure includes a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifies a preliminary stranding speed, a node feature of each node includes a photographed image of the finished cable obtained by processing each of the preliminary stranding speeds, and an edge between the nodes is a similarity between the photographed images of the finished cable obtained by processing each of the preliminary stranding speeds;

[0053] A target stranding speed determination module 35, configured to process the graph structure based on a graph convolutional network to determine a target stranding speed;

[0054] The sending module 36 is used to send the target twisting speed to the cable twisting equipment and control the cable twisting equipment to twist the cable.

[0055] Based on the same inventive concept, an embodiment of the present invention provides an electronic device, such as Figure 4 As shown, including:

[0056] The invention comprises: a processor 41; a memory 42; and a computer program; wherein the computer program is stored in the memory 42 and is configured to be executed by the processor 41 to implement a method for preparing an insulated cable as provided above, the method comprising: obtaining a video of the cable being processed at a current twisting speed; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video of the cable being processed at the current twisting speed; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a photographic image of a finished cable obtained by processing at each preliminary twisting speed; constructing a graph structure based on the photographic image of the finished cable obtained by processing at each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, a node feature of each node comprising a photographic image of a finished cable obtained by processing at each preliminary twisting speed, and edges between nodes being similarities between photographic images of the finished cable obtained by processing at each preliminary twisting speed; determining a target twisting speed by processing the graph structure based on a graph convolutional network; sending the target twisting speed to the cable twisting device and controlling the cable twisting device to twist the cable.

[0057] Based on the same inventive concept, this embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor 41, implements a method for preparing an insulated cable provided above, the method comprising: obtaining a video of the cable being processed at a current twisting speed; determining a plurality of preliminary twisting speeds using a preliminary twisting speed determination model based on the video of the cable being processed at the current twisting speed; sending the plurality of preliminary twisting speeds to a cable twisting device, and obtaining a photographic image of a finished cable obtained by processing each preliminary twisting speed; constructing a graph structure based on the photographic image of the finished cable obtained by processing each preliminary twisting speed, the graph structure comprising a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifying a preliminary twisting speed, the node feature of each node comprising a photographic image of the finished cable obtained by processing each preliminary twisting speed, and the edges between the nodes being the similarity between the photographic images of the finished cable obtained by processing each preliminary twisting speed; processing the graph structure based on a graph convolutional network to determine a target twisting speed; sending the target twisting speed to a cable twisting device and controlling the cable twisting device to twist the cable.

[0058] The method for preparing an insulated cable provided in an embodiment of the present application can be applied to terminal devices (such as mobile phones), tablet computers, laptop computers, ultra-mobile personal computers (UMPCs), handheld computers, netbooks, personal digital assistants (PDAs), wearable devices (such as smart watches, smart glasses or smart helmets, etc.), augmented reality (AR) and virtual reality (VR) devices, smart home devices, car computers and other electronic devices, and the embodiments of the present application do not impose any restrictions on this.

[0059] Taking the mobile phone 100 as an example of the electronic device, Figure 5 A schematic structural diagram of the mobile phone 100 is shown.

[0060] like Figure 5 As shown, the mobile phone 100 may include a processing module 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a button 190, a motor 191, an indicator 192, a camera 193, a display screen 194, and a subscriber identification module (SIM) card interface 195, etc.

[0061] The processing module 110 may include one or more processing units, for example, the processing module 110 may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0062] The controller can be the nerve center and command center of the mobile phone 100, and is the decision maker that commands the various components of the mobile phone 100 to work in coordination according to the instructions. The controller can generate an operation control signal according to the instruction operation code and timing signal to complete the control of fetching and executing instructions.

[0063] The application processor may be installed with an operating system of the mobile phone 100, which is used to manage the hardware and software resources of the mobile phone 100. For example, it may manage and configure memory, determine the priority of system resource supply and demand, manage file systems, manage drivers, etc. The operating system may also be used to provide an operating interface for users to interact with the system. Various types of software may be installed in the operating system, such as drivers, applications (applications, apps), etc. Exemplarily, the operating system of the mobile phone 100 may be an Android system, a Linux system, etc.

[0064] A memory may also be provided in the processing module 110 for storing instructions and data. In some embodiments, the memory in the processing module 110 is a cache memory. The memory may store instructions or data that have just been used or are cyclically used by the processing module 110. If the processing module 110 needs to use the instruction or data again, it may be directly called from the memory. This avoids repeated access, reduces the waiting time of the processing module 110, and thus improves the efficiency of the system.

[0065] In some embodiments, the processing module 110 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuits sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0066] The processing module 110 can be used to: obtain a video of the cable being processed at the current twisting speed; determine multiple preliminary twisting speeds using a preliminary twisting speed determination model based on the video of the cable being processed at the current twisting speed; send the multiple preliminary twisting speeds to the cable twisting equipment, and obtain a shot image of the finished cable obtained by each preliminary twisting speed; construct a graph structure based on the shot image of the finished cable obtained by each preliminary twisting speed, the graph structure including multiple nodes and multiple edges between the multiple nodes, each node identifying a preliminary twisting speed, the node feature of each node including a shot image of the finished cable obtained by each preliminary twisting speed, and the edges between the nodes being the similarity between the shot images of the finished cable obtained by each preliminary twisting speed; process the graph structure based on a graph convolutional network to determine a target twisting speed; send the target twisting speed to the cable twisting equipment and control the cable twisting equipment to twist the cable.

[0067] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0068] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A method for preparing an insulated cable, characterized in that: include: Get the video of the cable being processed at the current twisting speed; Determine a plurality of preliminary stranding speeds using a preliminary stranding speed determination model based on a video shot of the cable under the current stranding speed processing; Sending the plurality of preliminary stranding speeds to a cable stranding device, and acquiring a photographic image of a finished cable product obtained by processing each of the preliminary stranding speeds; A graph structure is constructed based on the photographed images of the finished cable obtained by processing each of the preliminary stranding speeds, wherein the graph structure includes a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifies a preliminary stranding speed, a node feature of each node includes a photographed image of the finished cable obtained by processing each of the preliminary stranding speeds, and an edge between the nodes is a similarity between the photographed images of the finished cable obtained by processing each of the preliminary stranding speeds; Processing the graph structure based on a graph convolutional network to determine a target twisting speed; The target twisting speed is sent to the cable twisting equipment and the cable twisting equipment is controlled to twist the cable.

2. The method for preparing an insulated cable according to claim 1, characterized in that: The preliminary strand speed determination model is a gated recurrent unit.

3. The method for preparing an insulated cable according to claim 1, characterized in that: The input of the graph convolutional network is the graph structure, and the output of the graph convolutional network is the target twisting speed.

4. A method for preparing an insulated cable according to claim 2, characterized in that: The input of the preliminary stranding speed determination model is a video shot of the cable under the current stranding speed processing, and the output of the preliminary stranding speed determination model is a plurality of preliminary stranding speeds.

5. A system for preparing an insulated cable, characterized in that: include: The first acquisition module is used to acquire the video of the cable being processed at the current twisting speed; A preliminary stranding speed determination module, configured to determine a plurality of preliminary stranding speeds using a preliminary stranding speed determination model based on a video of the cable being processed at a current stranding speed; A second acquisition module is used to send the multiple preliminary stranding speeds to the cable stranding equipment and obtain a photographed image of the finished cable obtained by processing each preliminary stranding speed; A construction module, for constructing a graph structure based on the photographed images of the finished cable obtained by processing each of the preliminary stranding speeds, wherein the graph structure includes a plurality of nodes and a plurality of edges between the plurality of nodes, each node identifies a preliminary stranding speed, a node feature of each node includes a photographed image of the finished cable obtained by processing each of the preliminary stranding speeds, and an edge between nodes is a similarity between the photographed images of the finished cable obtained by processing each of the preliminary stranding speeds; A target stranding speed determination module, used for determining a target stranding speed by processing the graph structure based on a graph convolutional network; The sending module is used to send the target twisting speed to the cable twisting equipment and control the cable twisting equipment to twist the cable.

6. A system for preparing an insulated cable according to claim 5, characterized in that: The preliminary strand speed determination model is a gated recurrent unit.

7. A system for preparing an insulated cable according to claim 5, characterized in that: The input of the graph convolutional network is the graph structure, and the output of the graph convolutional network is the target twisting speed.

8. A system for preparing an insulated cable according to claim 6, characterized in that: The input of the preliminary stranding speed determination model is a video shot of the cable under the current stranding speed processing, and the output of the preliminary stranding speed determination model is a plurality of preliminary stranding speeds.

9. An electronic device, characterized in that: include: processor; Memory; And a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor to implement the method for preparing an insulated cable as claimed in any one of claims 1 to 4.

10. An insulated cable prepared according to the method for preparing an insulated cable according to claim 1.

Images