A tension machine pay-off intelligent identification early warning device and tension machine

Abstract

The application discloses a tension machine pay-off intelligent identification early warning device and a tension machine, and belongs to the technical field of tension machine pay-off intelligent identification early warning devices.The tension machine pay-off intelligent identification early warning device comprises a slider module electric control device and a centralized control center, which are arranged in an electric appliance integrated box; the electric appliance integrated box is fixed on a solar base plate; the slider module electric control device is connected with a slider module, and drives a camera collecting device to slide freely through the slider module; the centralized control center receives data of a laser radar device, the camera collecting device and the slider module, and judges an early warning level; the centralized control center is electrically connected with a display device, and displays the early warning level on the display device; and the centralized control center carries out locking and alarm processing on the tension machine according to the early warning level of the collected data.The tension machine pay-off intelligent identification early warning device can monitor the state of the tension machine in a line in real time, help construction personnel to find wire defects in time and carry out corresponding processing, and has important significance for guaranteeing the safe production of power grid infrastructure and the safe and reliable operation of power grid lines.

Description

Technical Field

[0001] This invention belongs to the field of power transmission line construction equipment and construction technology, and relates to a tensioning machine wire laying intelligent identification and early warning device and tensioning machine. Background Technology

[0002] Electricity is an indispensable energy source for social development. Steel-cored aluminum stranded wire, with its excellent conductivity and sufficient mechanical strength, is widely used in overhead transmission lines of various voltage levels. However, during the construction of overhead transmission lines, problems such as conductor impacts, abrasions, and bends frequently occur. These not only affect the construction quality to some extent but can also lead to further defects and wire breaks, posing potential safety risks to the transmission lines and construction personnel. Furthermore, monitoring of the quality of the coil winding and conductors during the tensioning process relies on post-construction inspections, failing to achieve real-time monitoring. Summary of the Invention

[0003] The purpose of this invention is to solve the problem that the monitoring of the quality of the winding drum and conductor during the tension machine's wire feeding process relies on post-event detection and lacks real-time monitoring in the existing technology, and to provide a tension machine wire feeding intelligent identification and early warning device and tension machine.

[0004] To achieve the above objectives, the present invention employs the following technical solution:

[0005] A tension machine wire feeding intelligent identification and early warning device includes: a base plate, a slider, a camera acquisition device, a lidar device, a solar base plate, a slider module electrical control device, a central control center, and an electrical integration box;

[0006] The substrate is mounted on the tensioner housing; a slide rail is provided on the substrate in the vertical direction, and the slider is slidably mounted on the slide rail; a camera acquisition device is mounted on the slider module, a lidar device is fixed on the top of the solar substrate, the solar substrate is vertically mounted on the substrate, and the slider module electrical control device and the central control center are housed in an electrical integration box, which is fixed on the solar substrate; the slider module electrical control device is electrically connected to the slider, and the slider drives the camera acquisition device to slide up and down; the central control center receives lidar data collected by the lidar device, camera data collected by the camera acquisition device, and slider movement data collected by the slider module electrical control device, and determines the warning level; the central control center is electrically connected to a display device, and displays the warning level on the display device.

[0007] A further improvement of the present invention is that:

[0008] Furthermore, the substrate includes a base plate and stiffeners; the stiffeners are vertically mounted on the base plate; the base plate is fixed to the housing of the tensioning machine; and the slide rails are mounted on the stiffeners.

[0009] Furthermore, the electrical integration box contains a power module, a power management module, an industrial AP, a mini gateway, a switch, a network bridge, a camera acquisition and control device, and a LiDAR control device. The power module is connected to the power management module, which supplies power to the industrial AP, network bridge, switch, mini gateway, camera acquisition and control device, slider module electrical control device, and LiDAR control device. The power supply status is controlled by a timer switch and a remote control. The camera acquisition and control device is connected to the camera acquisition device and controls it to acquire camera data. The LiDAR control device is connected to an external LiDAR device and controls it to acquire LiDAR data. The slider module electrical control device drives the slider to slide and acquires the slider's motion data. The LiDAR data and slider motion data are forwarded to the switch through the mini gateway. The industrial AP receives camera data and forwards it to the switch. The switch is connected to the network bridge, which sends the camera data, slider motion data, and LiDAR data to the central control center.

[0010] Furthermore, the micro gateway communicates with the central control center via a built-in low-power communication module.

[0011] Furthermore, the video acquisition device includes a camera and a camera protective cover; both the camera and the camera protective cover are mounted on the slider, with the camera protective cover positioned above the camera to protect it from external environmental influences.

[0012] Furthermore, a solar panel is provided on the back of the solar substrate; the solar panel powers the lidar device.

[0013] Furthermore, the solar panel is vertically fixed to the base plate and located on both sides of the stiffener.

[0014] Furthermore, the central control center inputs lidar data, camera data, and slider motion data into the YOLOv5s model. The YOLOv5s model analyzes the data and categorizes the radar-collected information into warning level classification labels to obtain the level standard of the collected data.

[0015] Furthermore, the warning levels include S, A, B, C, D, and E. When the warning level is S, the locking device locks the tension machine rollers and triggers an alarm. When the warning level is A, the alarm device sounds; if the alarm is not deactivated after exceeding the first threshold, the central control center sends a command to the locking device to lock the tension machine rollers. When the warning level is B, the alarm device sounds; if the alarm is not deactivated after exceeding the second threshold, the central control center sends a command to the locking device... The command is issued to lock the tension machine rollers; when the warning level is C, the alarm device will sound an alarm. If the alarm is not cleared after exceeding the third threshold, the central control center will issue a command to the locking device to lock the tension machine rollers; when the warning level is D, the alarm device will sound an alarm. If the alarm is not cleared after exceeding the fourth threshold, the central control center will issue a command to the locking device to lock the tension machine rollers; when the warning level is E, the alarm device will sound an alarm. After the alarm is cleared, the tension machine will start working.

[0016] A tension machine is provided, which is equipped with a wire-laying intelligent identification and early warning device, and the wire-laying intelligent identification and early warning device is the aforementioned tension machine wire-laying intelligent identification and early warning device.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] This invention sends camera data, lidar data, and slider movement data to a centralized control center. The control center determines the warning level and displays it on a display device. Then, based on the warning level determined by the collected data, the tensioner is locked and an alarm is triggered. This invention can monitor the tensioner's status during line erection in real time, and simultaneously help construction personnel promptly detect and address conductor defects, preventing further expansion of defects and accidents. This is of great significance for ensuring the safe production of power grid infrastructure and the safe and reliable operation of power grid lines. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 Front view of the intelligent identification and early warning device for tension machine wire feeding;

[0021] Figure 2 This is a rear view of the intelligent identification and early warning device for tension machine wire feeding.

[0022] Figure 3 A schematic diagram of the installation of an intelligent identification and early warning device for tension machine wire feeding;

[0023] Figure 4 This is a schematic diagram of the electrical operation of the intelligent identification and early warning device for tension machine wire feeding.

[0024] Figure 5 This is a schematic diagram of the YOLOv5s model structure;

[0025] Figure 6 This is a schematic diagram of the operation of the intelligent identification and early warning device for tension machine wire feeding.

[0026] The components are as follows: 1-Base plate; 2-Firming plate; 3-Slider; 4-Camera; 5-Camera protective cover; 6-LiDAR device; 7-Solar substrate; 8-Electrical integration box; 9-Solar panel; 100-Power module; 102-Power management module; 103-Slider module electrical control device; 104-Industrial AP; 105-Slider motion data; 107-Mini gateway; 109-Switch; 110-Bridge; 111-Central control center; 113-Camera data; 114-LiDAR data; 120-Camera acquisition and control device; 121-LiDAR control device. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0030] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0032] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0033] The present invention will now be described in further detail with reference to the accompanying drawings:

[0034] See Figure 1 , Figure 2 and Figure 3 This invention discloses an intelligent identification and early warning device for tension machine wire feeding, comprising: a base plate, a slider 3, a camera acquisition device, a lidar device 6, a solar base plate 7, a slider module electrical control device 103, a central control center 111, and an electrical integration box 8;

[0035] The substrate is mounted on the tensioner housing; a slide rail is provided on the substrate in the vertical direction, and the slider 3 is slidably mounted on the slide rail; a camera acquisition device is mounted on the slider 3, and a lidar device 6 is fixed to the top of the solar substrate 7. The solar substrate is vertically mounted on the substrate. The slider module electrical control device 103 and the central control center 111 are housed in an electrical integration box 8, which is fixed to the solar substrate 7. The slider module electrical control device 103 is electrically connected to the slider 3, and the slider 3 drives the camera acquisition device to slide up and down. The central control center 111 receives signals from the lidar device 6. The system collects data from the lidar (114), the camera (113), and the slider module control device (103), which collects the slider movement data (105) of the slider 3, and determines the warning level. The central control center (111) is electrically connected to the display device, and displays the warning level on the display device. The central control center (111) is externally connected to a locking device and an alarm device. The locking device is installed on the roller of the tension machine, and the alarm device is installed on the outer casing of the tension machine. The central control center (111) performs locking and alarm processing on the tension machine according to the warning level of the collected data.

[0036] The base plate includes a base plate 1 and a stiffener 2; the stiffener 2 is vertically mounted on the base plate 1; the base plate is fixed to the housing of the tensioning machine; and the slide rail is mounted on the stiffener 2.

[0037] See Figure 4 The electrical integration box 8 contains a power module 100, a power management module 102, an industrial AP 104, a miniature gateway 107, a switch 109, a bridge 110, a camera acquisition and control device 120, and a lidar control device 121. The power module 100 is connected to the power management module 102, and the power module 100 supplies power to the industrial AP 104, bridge 110, switch 109, miniature gateway 107, camera acquisition and control device 120, slider module electrical control device 103, and lidar control device 121 through the power management module 102. The power supply status is controlled by a timer switch and a remote control. The camera acquisition and control device 120 is connected to the camera acquisition device. The system controls the camera acquisition device 113 to collect camera data; the lidar control device 121 is connected to an external lidar device 6, controlling the lidar device 6 to collect lidar data 114; the slider module electronic control device 103 drives the slider 3 to slide and collects the slider motion data 105; the lidar data 114 and the slider motion data 105 are forwarded to the switch 109 through the miniature gateway 107; the industrial AP 104 receives the camera data 113 and forwards it to the switch 109; the switch 109 is connected to the bridge 110, and sends the camera data 113, slider motion data 105, and lidar data 114 to the central control center 111 through the bridge 110. The miniature gateway 107 communicates with the central control center 111 through a built-in low-power communication module.

[0038] The camera acquisition device includes a camera 4 and a camera protective cover 5; both the camera 4 and the camera protective cover 5 are mounted on the slider 3, with the camera protective cover 5 positioned above the camera 4 to protect it from external environmental influences. A solar panel 9 is mounted on the back of the solar substrate 7; the solar panel 9 powers the lidar device 6. The solar substrate 7 is vertically fixed to the base plate 1 and located on both sides of the stiffening rib 2. The solar substrate 7 and the solar panel 9 are composite molded. The base plate 1 is formed by machining conventional sheet material.

[0039] The central control center 111 inputs the lidar data 114, camera data 113, and slider motion data 105 into the YOLOv5s model. The YOLOv5s model analyzes the data and classifies the radar-collected information into warning level classification labels to obtain the level standard of the collected data.

[0040] The central control center is connected to an external locking device and an alarm device. The locking device is installed on the rollers of the tension machine; the alarm device is installed on the outer casing of the tension machine. The central control center performs locking and alarm processing on the tension machine according to the warning level of the collected data.

[0041] See Figure 5 The YOLOv5s algorithm has strong advantages in flexibility and speed, and can meet the real-time detection requirements in power operation scenarios. Its YOLOv5s network model consists of an Input part for the input image, a Backbone part for feature extraction, a Neck part for multi-scale feature fusion, and a Prediction part for the predicted output.

[0042] YOLOv5s employs Mosaic data augmentation at the input end, stitching together four images through random scaling, cropping, and arrangement to enrich the sample set, improve network robustness, and enhance detection performance for small targets. Regarding anchor box size, adaptive anchor box calculation is added to adjust the optimal anchor box size based on different sample sets. Furthermore, the adaptive image scaling in YOLOv5 modifies the black border filling method, resulting in faster target detection.

[0043] YOLOv5s first convolves the uniformly sized 640×640×3 input image to reduce it to a 320×320×32 feature map, and then performs downsampling. YOLOv5s borrows the CSP structure from YOLOv4 and modifies it into CSP1-X and CSP2-X, applied to the Backbone and Neck parts respectively, enhancing the network's feature fusion capabilities. The SPPF structure sequentially passes the input through multiple 5x5 MaxPool layers and then performs further fusion, which can solve the multi-scale problem of the target to some extent. Compared to SPP, which passes the input through MaxPool layers in parallel and then performs fusion, SPPF is more efficient while achieving the same effect. In the Neck part, YOLOv5s adopts an FPN+PAN structure, where the FPN layer conveys strong semantic features from top to bottom, and the PAN layer conveys strong localization features from bottom to top, enhancing the feature extraction capability.

[0044] In the prediction output section, YOLOv5s uses CIOU_Loss as the loss function for the bounding box and cross-entropy loss function for the class probability score. CIOU_Loss embodies three geometric factors in the function: bounding box overlap area, center point distance, and aspect ratio. Its calculation formula is shown in formula (1):

[0045]

[0046] in, ρ(·) represents the Euclidean distance, b and b gt represents the center coordinates of the predicted bounding box and the target bounding box, respectively, and c represents the diagonal length of the smallest bounding rectangle covering the predicted bounding box and the target bounding box. The last parameter on the right-hand side of the equation is shown in formulas (2) and (3):

[0047]

[0048]

[0049] Where w and h represent the width and height of the prediction box, w gt h gt This indicates the width and height of the target box; the two parameters reflect the difference in the measured aspect ratio.

[0050] A method for using a tension machine wire feeding intelligent identification and early warning device includes:

[0051] The slider module electronic control device 103 drives the camera acquisition device to slide freely via the slider 3. The camera acquisition control device 120 controls the camera acquisition device to acquire camera data 113 and uploads the acquired data to the central control center 111. The central control center 111 simultaneously receives the laser radar data 114 acquired by the laser radar device 6 controlled by the laser radar control device 121 and the slider motion data 105 of the slider module electronic control device 103 driving the slider 3. The central control center 111 analyzes the camera data 113, laser radar data 114, and slider motion data 105 using the YOLOv5s model and classifies the radar acquisition information into warning level classification labels, obtains the level standard of the acquired image data, and displays the warning level on the display device.

[0052] The warning levels displayed on the screen are S, A, B, C, D, and E. Level S indicates an anomaly in the video acquisition area while the tension machine is operating; the abnormal image is identified as a person in contact with the tension wheel. Level A indicates an anomaly in the video acquisition area while the tension machine is operating; the abnormal image is identified as a person but not in contact with the tension wheel. Level B indicates an anomaly in the video acquisition area while the tension machine is operating; the abnormal image is not a person but is in contact with the tension wheel. Level C indicates an anomaly in the video acquisition area while the tension machine is operating; the abnormal image is not a person but is not in contact with the tension wheel. Level D indicates no anomaly in the video acquisition area while the tension machine is operating, but an anomaly occurs in the lidar acquisition area. Level E indicates an anomaly occurs in either the video acquisition area or the lidar acquisition area while the tension machine is in standby mode.

[0053] When the warning level is S, the locking device locks the tension machine rollers and triggers an alarm. When the warning level is A, the alarm device sounds; if the alarm is not deactivated after exceeding the first threshold, the central control center 111 sends a command to the locking device to lock the tension machine rollers. When the warning level is B, the alarm device sounds; if the alarm is not deactivated after exceeding the second threshold, the central control center 111 sends a command to the locking device to lock the tension machine rollers. When the warning level is C, the alarm device sounds; if the alarm is not deactivated after exceeding the third threshold, the central control center 111 sends a command to the locking device to lock the tension machine rollers. When the warning level is D, the alarm device sounds; if the alarm is not deactivated after exceeding the fourth threshold, the central control center 111 sends a command to the locking device to lock the tension machine rollers. When the warning level is E, the alarm device sounds; after deactivated, the tension machine is started. The first threshold is 20 seconds; the second threshold is 40 seconds; the third threshold is 60 seconds; and the fourth threshold is 120 seconds.

[0054] A tension machine is provided, which is equipped with a wire-laying intelligent identification and early warning device, and the wire-laying intelligent identification and early warning device is the aforementioned tension machine wire-laying intelligent identification and early warning device.

[0055] like Figure 6 As shown, the height and angle of camera 4 are adjusted. When the tension machine is about to enter the working state or is in the working state, the real-time image of the tension wheel cable is acquired through camera 4, and the information of the tension wheel and the surrounding environment is acquired through lidar device 6 and sent to the central control center for unified processing. The acquired images are input into the pre-trained YOLOv5s network model to analyze the images and classify the information acquired by the lidar into warning level classification labels. Finally, different work interventions are performed on the tension machine according to different warning levels.

[0056] This invention can perform video monitoring of the wiring on the tensioning machine and intelligently identify and alarm for wire skipping; at the same time, it can monitor and identify wire damage, wiring uniformity, wire speed, behavior of touching the running tension wheel, operator compliance, and foreign objects on the tensioning machine, and promptly alarm if any abnormality occurs.

[0057] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A tension machine wire feeding intelligent identification and early warning device, characterized in that, include: Substrate, slider (3), camera acquisition device, lidar device (6), solar substrate (7), slider module electrical control device (103), central control center (111) and electrical integration box (8); The substrate is mounted on the tensioner housing; the substrate has a slide rail in the vertical direction, and the slider (3) is slidably mounted on the slide rail; the camera acquisition device is mounted on the slider (3), and the laser radar device (6) is fixed on the top of the solar substrate (7), which is vertically mounted on the substrate; the slider module electrical control device (103) and the central control center (111) are mounted in the electrical integration box (8), which is fixed on the solar substrate (7); the slider module electrical control device (103) is electrically connected to the slider (3), and the camera acquisition device is driven to slide up and down through the slider (3); the central control center (111) is divided into The system receives laser radar data (114) collected by the laser radar device (6), camera data (113) collected by the camera acquisition device, and slider module data (105) collected by the slider module control device (103) of the slider (3), and determines the warning level; the central control center (111) is electrically connected to the display device, and the central control center (111) displays the warning level on the display device; the central control center (111) is externally connected to a locking device and an alarm device, the locking device is set on the roller of the tension machine; the alarm device is set on the outer shell of the tension machine; the central control center (111) performs locking and alarm processing on the tension machine according to the warning level of the collected data; The warning levels include S, A, B, C, D, and E. When the warning level is S, the locking device locks the tension machine rollers and triggers an alarm. When the warning level is A, the alarm device sounds an alarm; if the alarm is not deactivated if the first threshold is exceeded, the central control center (111) issues a command to the locking device to lock the tension machine rollers. When the warning level is B, the alarm device sounds an alarm; if the alarm is not deactivated if the second threshold is exceeded, the central control center (111) issues a command to the locking device. The command is to lock the tension machine rollers; when the warning level is C, the alarm device will sound an alarm. If the alarm is not cleared after exceeding the third threshold, the central control center (111) will issue a command to the locking device to lock the tension machine rollers; when the warning level is D, the alarm device will sound an alarm. If the alarm is not cleared after exceeding the fourth threshold, the central control center (111) will issue a command to the locking device to lock the tension machine rollers; when the warning level is E, the alarm device will sound an alarm. After the alarm is cleared, the tension machine will start working. The video acquisition area is categorized into four levels: Level S (for tension machine operation), Level A (for tension machine operation), Level B (for tension machine operation), Level C (for tension machine operation), Level D (for tension machine operation), Level E (for tension machine operation), and Level E (for tension machine standby), with an abnormality in either the video acquisition area or the lidar acquisition area. The threshold values ​​are: Level S: Abnormal video acquisition area, abnormal image (identified as a person in contact with the tension wheel); Level A: Abnormal video acquisition area, abnormal image (identified as a person in contact with the tension wheel); Level B: Abnormal video acquisition area, abnormal image (identified as a person in contact with the tension wheel); Level C: Abnormal video acquisition area, abnormal image (identified as a person in contact with the tension wheel); Level D: No abnormality in the video acquisition area, but abnormality in the lidar acquisition area; Level E: Abnormality in either the video acquisition area or the lidar acquisition area when the tension machine is in standby mode. The threshold values ​​are: Level 1: 20 seconds; Level 2: 40 seconds; Level 3: 60 seconds; Level 4: 120 seconds.

2. The intelligent identification and early warning device for tension machine wire feeding according to claim 1, characterized in that, The substrate includes a base plate (1) and a stiffener plate (2); the stiffener plate (2) is vertically arranged on the base plate (1); the base plate is fixed on the housing of the tension machine; the slide rail is arranged on the stiffener plate (2).

3. The intelligent identification and early warning device for tension machine wire feeding according to claim 1, characterized in that, The electrical integration box (8) is equipped with a power module (100), a power management module (102), an industrial AP (104), a micro gateway (107), a switch (109), a bridge (110), a camera acquisition and control device (120), and a lidar control device (121). The power module (100) is connected to the power management module (102). The power module (100) supplies power to the industrial AP (104), bridge (110), switch (109), micro gateway (107), camera acquisition control device (120), slider module electrical control device (103), and lidar control device (121) through the power management module (102). The power supply status is controlled by a timer switch and a remote controller. The camera acquisition control device (120) is connected to the camera acquisition device and controls the camera acquisition device to acquire camera data (113). The lidar control device (121) is connected to an external lidar device (6) and controls the lidar. The device (6) collects lidar data (114); the slider module electronic control device (103) drives the slider (3) to slide and collects slider module data (105) of the slider (3); the lidar data (114) and slider module data (105) are forwarded to the switch (109) through the micro gateway (107); the industrial AP (104) receives camera data (113) and forwards it to the switch (109); the switch (109) is connected to the bridge (110) and sends the camera data (113), slider module data (105) and lidar data (114) to the central control center (111) through the bridge (110).

4. The intelligent identification and early warning device for tension machine wire feeding according to claim 3, characterized in that, The micro gateway (107) communicates with the central control center (111) through a built-in low-power communication module.

5. The intelligent identification and early warning device for tension machine wire feeding according to claim 1, characterized in that, The camera acquisition device includes a camera (4) and a camera protective cover (5); both the camera (4) and the camera protective cover (5) are mounted on the slider (3), and the camera protective cover (5) is located above the camera (4) to protect the camera (4) from the influence of the external environment.

6. The intelligent identification and early warning device for tension machine wire feeding according to claim 1, characterized in that, A solar panel (9) is provided on the back of the solar substrate (7); the solar panel (9) supplies power to the lidar device (6).

7. The intelligent identification and early warning device for tension machine wire feeding according to claim 2, characterized in that, The solar substrate (7) is vertically fixed on the base plate (1) and located on both sides of the stiffener (2).

8. The intelligent identification and early warning device for tension machine wire feeding according to claim 1, characterized in that, The central control center (111) inputs lidar data (114), camera data (113) and slider module data (105) into the YOLOv5s model. The YOLOv5s model analyzes the data and classifies the information collected by the radar into warning level classification labels to obtain the level standard of the collected data.

9. A tension machine, wherein the tension machine is equipped with a wire feeding intelligent identification and early warning device, characterized in that, The intelligent identification and early warning device for wire laying is the intelligent identification and early warning device for tension machine wire laying as described in any one of claims 1-8.

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