Power grid equipment virtual-real fusion inspection method and device based on element universe

Abstract

The invention discloses a virtual-real fusion inspection method and device for power grid equipment based on meta universe. The method comprises the following steps: (1) constructing a virtual scene: constructing the virtual scene based on acquired environment information in a transformer substation in the real world and power equipment information in the transformer substation; (2) polling task issuing: based on network connection with the electric power polling robot, an electric power equipment polling task is issued to the electric power polling robot; (3) acquiring data of the power equipment: planning an inspection route for the power inspection robot in the constructed virtual scene, and performing data acquisition on the power equipment by the power inspection robot in the real world based on the planned inspection route; (4) equipment state identification processing: based on the data acquired from the power equipment, identifying and judging the operation state of the power equipment, and notifying a worker to process the power equipment according to a judgment result; according to the method, the condition of the power equipment in the real substation in a certain time period is reproduced in the virtual simulation platform based on the collected historical data, so that the reason for the abnormality of the power equipment is searched.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power inspection, and in particular to a method and device for virtual-reality fusion inspection of power grid equipment based on the metaverse. Background Art

[0002] A substation is a place in the power system that transforms voltage and current, receives electric energy and distributes electric energy. The substation in the power plant is a step-up substation, which boosts the electric energy generated by the generator and feeds it into the high-voltage power grid. The Chinese patent application number 201811127683.1 discloses "a visual power inspection method and device, which realizes real-time visual images through an image processing module, an electric field sensor, and an AR including a virtual-real scene generation and fusion unit, a display unit, an image recognition unit, and a recognition database. The visual image can simultaneously display the level of the electric tower, the actual electric field strength, the safety distance, and the change of the electric field strength on the same display interface. The display of the visual image enables the operator to directly and visually observe the level of the electric tower, the actual electric field strength, the safety distance, and the change of the electric field strength around the operator from a first-person perspective, and then understand the on-site conditions, electric field strength, and safety level in real time, enhance self-warning awareness, shorten the construction and maintenance time of power engineering, reduce the failure time of the power grid, and improve the reliability of power supply." This comparative document only solves the problem that the safety warning helmet in the prior art has a monotonous alarm sound and a single alarm information, which is not conducive to the operator to judge whether it is an alarm prompt, and it is unable to display information such as electric field strength and safe distance, which may easily cause the operator to neglect the dangers around him in a complex working environment, causing the operator to inadvertently get too close to the danger and cause casualties. It does not take into account that the manual inspection of power equipment is time-consuming and labor-intensive, and the work intensity is too high. The manual inspection task relies too much on personal experience, and it is impossible to determine whether the detection results are accurate. It is also prone to false detection or missed detection, resulting in low accuracy of the inspection results. Summary of the invention

[0003] Purpose of the invention: The purpose of the present invention is to provide a virtual-reality fusion inspection method and device for power grid equipment based on the metaverse to solve the problems existing in the background technology.

[0004] Technical solution: The invention discloses a virtual-real fusion inspection method for power grid equipment based on the Metaverse, comprising the following steps: (1) Constructing a virtual scene: Constructing a virtual scene based on the collected real-world substation environment information and power equipment information in the substation; (2) Release inspection tasks: Based on the network connection with the power inspection robot, release the power equipment inspection tasks to the power inspection robot; (3) Collecting power equipment data: Planning inspection routes for the power inspection robot in the constructed virtual scene. Based on the planned inspection routes, the power inspection robot collects data on power equipment in the real world. (4) Equipment status identification and processing: Based on the data collected from the power equipment, the operating status of the power equipment is identified and judged, and the staff is notified to handle the power equipment according to the judgment results.

[0005] Furthermore, in step (1), the environmental information of the real-world substation and the location information, environmental information and operation data information of the power equipment in the substation are collected in real time through the camera and data sensor installed in the substation, the collected information is cleaned, denoised and corrected, and uploaded to the cloud server. The database of the substation is constructed by combining the real-time data and power knowledge of the cloud server, and the virtual scene model is constructed by 3DMax modeling software. The model is optimized using LOD technology, and the optimized three-dimensional model is imported into the Unity3D virtual simulation platform. At the same time, a real-time data-driven architecture is built on the Unity simulation platform, and data communication between the cloud server and the simulation platform is established using C#. The corresponding models and weather in the virtual simulation platform are driven by data-driven technology based on the real-time information in the real substation in the cloud server; the weather includes sunny days, foggy days, rainy days and snowy days; the situation of the real substation in a certain time period is reproduced based on the collected historical data.

[0006] Furthermore, in step (2), the staff in the substation logs in to the terminal device by means of face recognition or fingerprint recognition and account password, and face recognition requires input of a face image through a camera on the terminal device before login, and fingerprint recognition requires collection of fingerprint information through a fingerprint collector on the terminal device before login, and account password login requires login by inputting the staff's account password, and after the staff logs in to the terminal device, based on the daily power equipment inspection tasks, the power equipment inspection tasks are sent to the power inspection robot through a network connection.

[0007] Furthermore, in step (3), based on the location information of the power equipment included in the inspection task, the inspection task route is planned for the power inspection robot in the virtual scene through the route planning algorithm, and in order to avoid deviations in the inspection route, the cost map function is introduced, and the obstacle area on the inspection route is used as the prohibited area on the inspection route. When the distance to the obstacle area increases from near to far, the calculation result of the route planning algorithm gradually decreases to 0, indicating that this area is allowed to pass, otherwise it is not allowed to pass; based on the planned inspection task route, the power inspection robot is controlled to perform the inspection task in the real-world substation, and during the inspection process, the power inspection robot uses machine vision technology to calculate the obstacle area on the inspection route. The obstacle avoidance function is realized by the artificial field potential method to avoid static obstacles, and the obstacle avoidance method based on fuzzy logic theory to avoid moving obstacles. During the inspection process, the power inspection robot is powered by the installed main and auxiliary batteries. The specific operation steps are as follows: When the power inspection robot starts running, it is powered by the main battery. When the main battery power is lower than the specified value, the buzzer sends out an alarm signal and automatically switches to the auxiliary battery for power supply. After the power inspection robot completes the inspection task, the staff can replace the main battery. When it is detected that the main battery power is higher than the specified value, it automatically switches to the main battery for power supply. At this time, the staff can replace the auxiliary battery.

[0008] Furthermore, in step (3), the power inspection robot collects data on the power equipment in the real world. The specific operation steps are as follows: after the distance measuring sensor installed on the power inspection robot detects that the distance between the power inspection robot and the power equipment is less than the set threshold, the meter image and the appearance image of the power equipment are obtained through the virtual-reality fusion inspection device of the power grid equipment based on the metaverse installed on the power inspection robot, and the temperature data of the power equipment is collected through the infrared thermometer installed on the power inspection robot. The obtained meter image is recognized and processed. The specific operation steps are as follows: using the shape features of the meter, the area of ​​the meter in the image is determined by template matching, based on different types of meter equipment images, the equipment is templated, and the position information of the minimum and maximum scales of each meter is established in the template library, the image of the corresponding meter is retrieved, and the scale-invariant feature transformation algorithm is used to match the meter area image in the collected meter image, the area image is binarized, the meter pointer is skeletonized, and the pointer straight line is detected by fast Hough transform, so as to locate the precise position and pointing angle of the pointer and obtain the pointer reading.

[0009] Furthermore, in step (4), the pointer reading is uploaded to the database, the acquired appearance image and temperature data of the power equipment are uploaded to the database, and the operating status and appearance status of the detected power equipment are identified and judged based on the data information of the power equipment during normal operation stored in the database and the images of the power equipment with various appearance abnormalities, and the staff is notified to process the power equipment based on the judgment result, and the staff can obtain the corresponding solution in the database to speed up the processing of the power equipment.

[0010] The invention discloses a virtual-reality fusion inspection device for power grid equipment based on the metaverse, comprising a protection box, a mounting groove is provided on the top of the protection box, and limiting grooves (5) are respectively provided in the middle of both sides of the inner cavity of the protection box; a lifting component (2) is fixedly installed on the right side of the protection box, wherein the lifting component comprises a single-phase motor.

[0011] Furthermore, the lifting assembly also includes a bidirectional threaded rod, a connecting block and a rotating rod. The bidirectional threaded rod is installed on the output shaft of the single-phase motor by means of screws. Two connecting blocks are threadedly connected to the bidirectional threaded rod. The top ends of the two connecting blocks are respectively movably installed with rotating rods through hinged seats. The two ends of the bidirectional threaded rod are engraved with threads in opposite structures.

[0012] Furthermore, a mounting base is fixedly installed on the top of the rotating rod through a hinge seat, a mounting block is welded on the top of the mounting base, a pan / tilt camera is mounted on the top of the mounting block through screws, limiting blocks are respectively welded on the middle of both sides of the mounting base, and the limiting blocks are movably installed in limiting grooves, two protective baffles are movably installed in the mounting grooves through a rotating shaft, and a torsion spring is sleeved on the rotating shaft of the protective baffle.

[0013] Beneficial effect: Compared with the prior art, the present invention has the following significant advantages: constructing a virtual scene based on the actual situation of the substation, driving the corresponding models and weather in the virtual simulation platform according to the real-time information in the real substation in the cloud server, realizing real-time simulation of the real substation, and planning the optimal inspection route in the virtual scene. In order to avoid deviations in the inspection route, the cost map function is introduced to avoid obstacles on the inspection route, which affects the inspection efficiency. Based on the planned route, the power inspection robot is controlled to perform inspection tasks in the real scene, thereby avoiding missed inspections, reducing the time required to complete the inspection tasks, and improving the inspection work efficiency. In the process of the inspection task, the main and auxiliary storage The battery-powered power inspection robot reduces the situation where the inspection task is not completed due to insufficient power. After collecting images and related data of the power equipment, the equipment instrument images are processed to obtain accurate pointer readings, so as to accurately identify the operating status of the power equipment to reduce the occurrence of false detection. When the identification result is that the power equipment is in an abnormal state, the staff is notified based on the abnormal data information to obtain the corresponding solution to process the corresponding power equipment, thereby speeding up the processing of the power equipment. At the same time, the situation of the power equipment in a real substation in a certain period of time is reproduced in the virtual simulation platform based on the collected historical data to find the cause of the abnormality of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flowchart of the overall method of the present invention; Figure 2 It is a first three-dimensional structural schematic diagram of the device of the present invention; Figure 3 is a second three-dimensional structural schematic diagram of the device of the present invention; Figure 4 It is a three-dimensional structural schematic diagram of the lifting assembly of the device of the present invention. DETAILED DESCRIPTION

[0015] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0016] like Figure 1-4 As shown, the present invention provides a method for virtual-real fusion inspection of power grid equipment based on Metaverse, comprising the following steps: S1: Construction of virtual scene: Construction of virtual scene based on the collected environmental information of the substation in the real world and the information of the power equipment in the substation; specifically as follows: through the cameras and data sensors installed in the substation, the environmental information of the substation in the real world and the location information and operation data information of the power equipment in the substation are collected in real time, the collected information is cleaned, denoised and corrected, and uploaded to the cloud server, and the database of the substation is constructed by combining the real-time data and power knowledge of the cloud server, and the virtual scene model is constructed by 3DMax modeling software, and the model is optimized by LOD technology, and the optimized three-dimensional model is imported into the Unity3D virtual simulation platform. At the same time, a real-time data-driven architecture is built on the Unity simulation platform, and the data communication between the cloud server and the simulation platform is established by using the C# high-level programming language, and the corresponding models and weather in the virtual simulation platform are driven by data-driven technology according to the real-time information in the real substation in the cloud server. The weather may include sunny days, foggy days, rainy days and snowy days, and the situation of the real substation in a certain time period can be reproduced based on the collected historical data; S2: Inspection task release: Based on the network connection with the power inspection robot, the power equipment inspection task is released to the power inspection robot; specifically, the staff in the substation logs in to the terminal device, which can be logged in by face recognition or fingerprint recognition and account password. Face recognition requires the input of face images through the camera on the terminal device before login, and fingerprint recognition requires the collection of fingerprint information through the fingerprint collector on the terminal device before login, and account password login requires the login by entering the staff's account password. After the staff logs in to the terminal device, based on the daily power equipment inspection task, the power equipment inspection task is sent to the power inspection robot through the network connection; S3: Power equipment data collection: In the constructed virtual scene, a patrol route is planned for the power inspection robot. Based on the planned patrol route, the power inspection robot collects data on the power equipment in the real world. In particular, based on the location information of the power equipment included in the patrol task, the patrol task route is planned for the power inspection robot in the virtual scene through a route planning algorithm. The specific calculation formula is as follows: In the formula, represents the total cost from the starting point to the target point, is the basis for judgment in the process of selecting the route, represents the path cost from the starting point to the current node n, represents the estimated cost from the current node n to the target point using the heuristic method, and in order to avoid deviations in the inspection route, the cost map function is introduced, and the obstacle area on the inspection route is used as the prohibited area on the inspection route. When the distance to the obstacle area is from near to far, the calculation result of the route planning algorithm gradually decreases to 0, indicating that this area is allowed to pass, otherwise it is not allowed to pass. Based on the planned inspection task route, the power inspection robot is controlled to perform the inspection task in the real-world substation, and the power inspection robot is based on the inspection process. Machine vision technology realizes the obstacle avoidance function, specifically, it avoids static obstacles through the artificial field potential method, and avoids moving obstacles through the obstacle avoidance method based on fuzzy logic theory. In the process of inspection, the power inspection robot is powered by the installed main and auxiliary batteries. The specific operation steps are as follows: When the power inspection robot starts running, it is powered by the main battery. When the power of the main battery is lower than the specified value, the buzzer sends out an alarm signal and automatically switches to the auxiliary battery for power supply. When the power inspection robot completes the inspection task, the staff can replace the main battery. When it is detected that the power of the main battery is higher than the specified value, it automatically switches to the main battery for power supply. At this time, the staff can replace the auxiliary battery; After the power inspection robot arrives at the location of the power equipment, the specific operation steps are as follows: after the distance measuring sensor installed on the power inspection robot detects that the distance between the power inspection robot and the power equipment is less than the set threshold, the instrument image and the appearance image of the power equipment are obtained through the virtual-reality fusion inspection device of the power grid equipment based on the metaverse installed on the power inspection robot, and the temperature data of the power equipment is collected through the infrared thermometer installed on the power inspection robot, and the obtained instrument image is recognized and processed. The specific operation steps are as follows: using the shape features of the instrument, the area of ​​the instrument in the image is determined through template matching, based on different types of instrument equipment images, the equipment is templated, and the position information of the minimum and maximum scales of each instrument is established in the template library, the image of the corresponding instrument is retrieved, and the scale-invariant feature transformation algorithm is used to match the instrument area image in the collected instrument image, the area image is binarized, the instrument pointer is skeletonized, and the pointer straight line is detected using the fast Hough transform, so as to locate the precise position and pointing angle of the pointer and obtain the pointer reading.

[0017] S4: Equipment status identification and processing: Based on the data collected from the power equipment, the operating status of the power equipment is identified and judged, and the staff is notified to process the power equipment according to the judgment results. Specifically, the pointer reading is uploaded to the database, the acquired appearance image and temperature data of the power equipment are uploaded to the database, and the operating status and appearance status of the detected power equipment are identified and judged based on the data information of the power equipment during normal operation stored in the database and the images of various appearance abnormalities of the power equipment, and the staff is notified to process the power equipment based on the judgment results, and the staff can obtain the corresponding solutions in the database to speed up the processing of the power equipment.

[0018] The embodiment of the present invention further provides a virtual-reality fusion inspection device for power grid equipment based on the metaverse, comprising a protection box 1, a mounting groove 4 is provided at the top of the protection box 1, and limiting grooves 5 are respectively provided in the middle of both sides of the inner cavity of the protection box 1; a lifting component 2 is fixedly installed on the right side of the protection box 1, the lifting component 2 comprises a single-phase motor 21, the lifting component 2 also comprises a bidirectional threaded rod 22, a connecting block 23 and a rotating rod 24, a bidirectional threaded rod 22 is installed on the output shaft of the single-phase motor 21 by screws, two connecting blocks 23 are threadedly connected to the bidirectional threaded rod 22, the tops of the two connecting blocks 23 are respectively movably installed with rotating rods 24 through hinged seats, and threads are engraved at both ends of the bidirectional threaded rod 22 in opposite structures; the position of the pan-tilt camera 8 is adjusted by the provided lifting component 2; A mounting base plate 6 is fixedly installed on the top of the rotating rod 24 through a hinge seat, a mounting block 7 is welded on the top of the mounting base plate 6, a pan / tilt camera 8 is installed on the top of the mounting block 7 through screws, limiting blocks are respectively welded on the middle of both sides of the mounting base plate 6, and the limiting blocks are movably installed in the limiting groove 5, and two protective baffles 3 are movably installed in the mounting groove 4 through a rotating shaft, and a torsion spring is sleeved on the rotating shaft of the protective baffle 3; since the limiting block is movably installed in the limiting groove 5, the movement of the mounting base plate 6 is limited.

[0019] Working principle: When acquiring images of the power equipment, the single-phase motor 21 is started, and the bidirectional threaded rod 22 is driven to rotate by the single-phase motor 21. The rotation of the bidirectional threaded rod 22 drives the two connecting blocks 23 to move away from each other, so that the two rotating rods 24 rotate, thereby the mounting substrate 6 rises, and then the pan-tilt camera 8 rises, and at the same time the limit block moves in the limit slot 5. When the pan-tilt camera 8 contacts the protective baffle 3, the pan-tilt camera 8 continues to rise, causing the protective baffle 3 to rotate until the protective baffle 3 abuts against the mounting substrate 6, and the torsion spring sleeved on the rotating shaft of the protective baffle 3 is twisted. When the position adjustment of the pan-tilt camera 8 is completed, the single-phase motor 21 is turned off, and the power equipment is acquired by the pan-tilt camera 8. After the acquisition is completed, the single-phase motor 21 is started, and the pan-tilt camera 8 is restored to its original position by the single-phase motor 21. After the mounting substrate 6 and the protective baffle 3 are released from contact, the elastic potential energy accumulated by the torsion spring sleeved on the rotating shaft of the protective baffle 3 is released, so that the protective baffle 3 is restored to its original position.

Claims

1. A virtual-real fusion inspection method for power grid equipment based on Metaverse, characterized in that: The following steps are involved: (1) Constructing a virtual scene: Constructing a virtual scene based on the collected real-world substation environment information and power equipment information in the substation; (2) Release inspection tasks: Based on the network connection with the power inspection robot, release the power equipment inspection tasks to the power inspection robot; (3) Collecting power equipment data: Planning inspection routes for the power inspection robot in the constructed virtual scene. Based on the planned inspection routes, the power inspection robot collects data on power equipment in the real world. (4) Equipment status identification and processing: Based on the data collected from the power equipment, the operating status of the power equipment is identified and judged, and the staff is notified to handle the power equipment according to the judgment results.

2. According to the metaverse-based virtual-real fusion inspection method for power grid equipment according to claim 1, it is characterized in that: In step (1), the environmental information of the real-world substation and the location information, environmental information and operation data information of the power equipment in the substation are collected in real time through the camera and data sensor installed in the substation, the collected information is cleaned, denoised and corrected, and uploaded to the cloud server. The database of the substation is constructed by combining the real-time data and power knowledge of the cloud server, and the virtual scene model is constructed by 3DMax modeling software. The model is optimized using LOD technology, and the optimized three-dimensional model is imported into the Unity3D virtual simulation platform. At the same time, a real-time data-driven architecture is built on the Unity simulation platform, and data communication between the cloud server and the simulation platform is established using C#. The corresponding models and weather in the virtual simulation platform are driven by data-driven technology based on the real-time information in the real substation in the cloud server; the weather includes sunny days, foggy days, rainy days and snowy days; the situation of the real substation in a certain time period is reproduced based on the collected historical data.

3. According to the metaverse-based virtual-real fusion inspection method for power grid equipment according to claim 1, it is characterized in that: In the step (2), the staff in the substation logs in to the terminal device by means of face recognition or fingerprint recognition and account password. Face recognition requires input of a face image through a camera on the terminal device before login, and fingerprint recognition requires collection of fingerprint information through a fingerprint collector on the terminal device before login. Account password login requires login by inputting the staff's account password. After the staff logs in to the terminal device, based on the daily power equipment inspection tasks, the power equipment inspection tasks are sent to the power inspection robot through a network connection.

4. According to the metaverse-based virtual-real fusion inspection method for power grid equipment according to claim 1, it is characterized in that: In step (3), based on the location information of the power equipment included in the inspection task, the inspection task route is planned for the power inspection robot through the route planning algorithm in the virtual scene, and in order to avoid deviations in the inspection route, the cost map function is introduced, and the obstacle area on the inspection route is used as the prohibited area on the inspection route. When the distance to the obstacle area increases from near to far, the calculation result of the route planning algorithm gradually decreases to 0, indicating that this area is allowed to pass, otherwise it is not allowed to pass; based on the planned inspection task route, the power inspection robot is controlled to perform the inspection task in the real-world substation, and during the inspection process, the power inspection robot is realized based on machine vision technology. The obstacle avoidance function specifically avoids static obstacles through the artificial field potential method, and avoids moving obstacles through the obstacle avoidance method based on fuzzy logic theory. During the inspection process, the power inspection robot is powered by the installed main and auxiliary batteries. The specific operating steps are as follows: When the power inspection robot starts running, it is powered by the main battery. When the main battery power is lower than the specified value, the buzzer sends out an alarm signal and automatically switches to the auxiliary battery for power supply. When the power inspection robot completes the inspection task, the staff can replace the main battery. When it detects that the main battery power is higher than the specified value, it automatically switches to the main battery for power supply. At this time, the staff can replace the auxiliary battery.

5. According to the metaverse-based virtual-real fusion inspection method for power grid equipment in claim 1, it is characterized in that: In step (3), the power inspection robot collects data on the power equipment in the real world. The specific operation steps are as follows: after the distance measuring sensor installed on the power inspection robot detects that the distance between the power inspection robot and the power equipment is less than the set threshold, the meter image and the appearance image of the power equipment are obtained through the virtual-reality fusion inspection device of the power grid equipment based on the metaverse installed on the power inspection robot, and the temperature data of the power equipment is collected through the infrared thermometer installed on the power inspection robot. The obtained meter image is recognized and processed. The specific operation steps are as follows: using the shape features of the meter, the area of ​​the meter in the image is determined by template matching, based on different types of meter equipment images, the equipment is templated, and the position information of the minimum and maximum scales of each meter is established in the template library, the image of the corresponding meter is retrieved, and the scale-invariant feature transformation algorithm is used to match the meter area image in the collected meter image, the area image is binarized, the meter pointer is skeletonized, and the pointer straight line is detected by fast Hough transform, so as to locate the precise position and pointing angle of the pointer and obtain the pointer reading.

6. According to the metaverse-based virtual-real fusion inspection method for power grid equipment according to claim 1, it is characterized in that: In step (4), the pointer reading is uploaded to the database, the acquired appearance image and temperature data of the power equipment are uploaded to the database, and the operating status and appearance status of the detected power equipment are identified and judged based on the data information of the power equipment during normal operation stored in the database and the images of the power equipment with various appearance anomalies, and the staff is notified to process the power equipment based on the judgment result, and the staff can obtain the corresponding solution in the database to speed up the processing of the power equipment.

7. A virtual-real fusion inspection device for power grid equipment based on Metaverse, comprising a protection box (1), characterized in that: The top of the protection box (1) is provided with a mounting groove (4), and the middle of both sides of the inner cavity of the protection box (1) are respectively provided with limit grooves (5); the lifting component (2) is fixedly mounted on the right side of the protection box (1), wherein the lifting component (2) includes a single-phase motor (21).

8. The virtual-real fusion inspection device for power grid equipment based on the metaverse according to claim 7 is characterized in that: The lifting assembly (2) further comprises a bidirectional threaded rod (22), a connecting block (23) and a rotating rod (24); the bidirectional threaded rod (22) is mounted on the output shaft of the single-phase motor (21) via screws; two connecting blocks (23) are threadedly connected to the bidirectional threaded rod (22); the top ends of the two connecting blocks (23) are movably mounted with the rotating rod (24) via hinged seats; and threads are engraved at both ends of the bidirectional threaded rod (22) in an opposite structure.

9. The virtual-real fusion inspection device for power grid equipment based on the metaverse according to claim 8 is characterized in that: The top of the rotating rod (24) is fixedly mounted with a mounting base (6) via a hinge seat, the top of the mounting base (6) is welded with a mounting block (7), the top of the mounting block (7) is mounted with a pan / tilt camera (8) via screws, limiting blocks are respectively welded at the middle of both sides of the mounting base (6), and the limiting blocks are movably mounted in the limiting grooves (5), two protective baffles (3) are movably mounted in the mounting grooves (4) via a rotating shaft, and a torsion spring is sleeved on the rotating shaft of the protective baffle (3).

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