Self-powered composite insulator bird intrusion monitoring and repelling method

Abstract

The embodiment of the invention discloses a self-energized composite insulator bird intrusion monitoring and repelling method. The method comprises the following steps: acquiring real-time image data of a composite insulator area; preprocessing the real-time image data to obtain bird image data; determining a bird invasion condition in the bird image data according to edge calculation, and identifying the type of the invaded bird; determining a bird repelling signal according to the bird invasion condition and the type of the invaded bird; and controlling bird repelling equipment to repel birds entering the monitoring area according to the bird repelling signal. According to the invention, through real-time monitoring, image preprocessing, intelligent analysis and decision making and bird repelling equipment control, effective monitoring and repelling of birds around the power transmission line are realized, safe operation of the line is guaranteed, and the demand of ecological protection is also considered.

Description

Technical Field

[0001] The invention relates to the technical field of power maintenance, and in particular to a method for monitoring and driving away bird invasion of a self-powered composite insulator. Background Art

[0002] In the power transmission system, insulators, as key power transmission and transformation equipment, undertake the important tasks of supporting conductors and connecting and insulating conductors and supporting structures during power transmission. Composite insulators have been widely used in power systems due to their high pollution flashover voltage, high mechanical strength and light weight. However, despite the many advantages of composite insulators, bird activities pose a serious threat to them.

[0003] Birds often build nests and roost on composite insulators. The bird droppings brought by their daily activities can easily lead to contamination of insulators. Bird droppings are conductive in a humid environment and can easily cause problems such as flashover, breakdown and even short circuit on the surface of the insulator. These problems not only directly endanger the reliability and safety of the power grid, but may also cause large-scale power outages, causing serious impacts on life and industrial production. In addition, these problems caused by birds also increase the operation and maintenance costs of the power system, including cleaning up bird droppings and repairing damaged equipment.

[0004] At present, a variety of bird-repelling methods and equipment have been developed to solve the problem of bird invasion. Traditional solutions include manual inspection and repelling. Although this method can deal with bird invasion to a certain extent, it is time-consuming, labor-intensive, inefficient and difficult to cover a large power line network. The sound repelling method drives away birds by playing specific sounds, but this method can often only use a single sound mode, and its effectiveness is difficult to sustain. In addition, a continuous single sound mode may interfere with the surrounding environment and cause noise pollution, affecting the normal life and work of residents. Summary of the invention

[0005] Based on this, it is necessary to propose a self-powered composite insulator bird intrusion monitoring and repelling method to address the above problems.

[0006] A method for monitoring and repelling bird intrusion on a self-powered composite insulator, the method comprising the following steps:

[0007] Acquire real-time image data of composite insulator area;

[0008] Preprocessing the real-time image data to obtain bird image data;

[0009] Determine the bird invasion situation in the bird image data and identify the type of the invading bird based on edge computing;

[0010] Determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird;

[0011] The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

[0012] In the above solution, a monitoring camera is arranged in the composite insulator area, and the monitoring camera obtains energy through a wireless transmission system and takes images of the composite insulator area according to a preset time period.

[0013] In the above scheme, the preprocessing of the real-time image data to obtain bird image data specifically includes:

[0014] Analyze the noise type in the real-time image data, and determine a corresponding filtering method according to the noise type to perform filtering, so as to obtain a first filtered image;

[0015] Resizing the first filtered image by resampling, cropping or padding to obtain an image of a first size;

[0016] Normalization processing is performed on the first-size image, and pixel values ​​of the first-size image are adjusted to within a preset range to obtain bird image data.

[0017] In the above scheme, determining the bird invasion situation in the bird image data and identifying the type of invading birds based on edge computing specifically includes:

[0018] Using a deep learning algorithm to extract features from bird image data, the features including at least one of the shape, color, and texture of the bird;

[0019] determining the location, number and behavior of birds in the bird image data;

[0020] The intrusion rules are preset to determine whether there is a bird invasion according to the location, quantity and behavior of the birds in the bird image data.

[0021] In the above scheme, determining the bird invasion situation in the bird image data and identifying the type of invading birds based on edge computing specifically includes:

[0022] Using a deep learning algorithm to extract and classify features of bird image data, the features including at least one of the shape, color and texture of the bird;

[0023] Traverse the entire bird image by sliding window or full convolution, generate a bounding box for each potential target location, and predict the category and confidence of the target in the bounding box;

[0024] The invasive birds are identified and classified according to the categories and confidence levels of the targets within the bounding box.

[0025] In the above scheme, determining the bird-repelling signal according to the bird invasion situation and the type of the invading bird specifically includes:

[0026] Performing non-maximum suppression on the category and confidence of the target within the predicted bounding box, and retaining the optimal solution of the bounding box;

[0027] Analyzing the optimal solution of the bounding box and determining whether there is bird invasion;

[0028] If there is a bird invasion, a corresponding bird-repelling signal is generated according to the bird invasion situation and the type of invading bird.

[0029] In the above scheme, controlling the bird-repelling device to drive away birds entering the monitoring area according to the bird-repelling signal specifically includes:

[0030] When a bird-repelling signal is received, the bird-repelling mechanical rod rotates around the insulator, and the bird-repelling device automatically adjusts its position and emits corresponding bird-repelling sounds, including electronic cannon sounds and sounds of bird natural enemies.

[0031] The present application also proposes a self-powered composite insulator bird intrusion monitoring and repelling system, the system comprising: an image acquisition unit, a preprocessing unit, an edge computing unit and a bird repelling device control unit;

[0032] The image acquisition unit is used to obtain real-time image data of the composite insulator area;

[0033] The preprocessing unit is used to preprocess the real-time image data to obtain bird image data;

[0034] The edge computing unit is used to determine the bird invasion situation in the bird image data and identify the type of the invading bird according to edge computing;

[0035] The bird-repelling device control unit is used to determine a bird-repelling signal according to the bird invasion situation and the type of the invading bird; and control the bird-repelling device to drive away the birds entering the monitoring area according to the bird-repelling signal.

[0036] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0037] Acquire real-time image data of composite insulator area;

[0038] Preprocessing the real-time image data to obtain bird image data;

[0039] Determine the bird invasion situation in the bird image data and identify the type of the invading bird based on edge computing;

[0040] Determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird;

[0041] The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

[0042] The present application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor in the following steps:

[0043] Acquire real-time image data of composite insulator area;

[0044] Preprocessing the real-time image data to obtain bird image data;

[0045] Determine the bird invasion situation in the bird image data and identify the type of the invading bird based on edge computing;

[0046] Determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird;

[0047] The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

[0048] The use of the embodiments of the present invention has the following beneficial effects: obtaining real-time image data of the composite insulator area; preprocessing the real-time image data to obtain bird image data; determining the bird invasion situation in the bird image data and identifying the type of invading birds based on edge computing; determining the bird repelling signal based on the bird invasion situation and the type of invading birds; and controlling the bird repelling device to repel birds entering the monitoring area based on the bird repelling signal. The present invention realizes effective monitoring and repelling of birds around the transmission line through real-time monitoring, image preprocessing, intelligent analysis and decision-making, and control of bird repelling equipment, which not only ensures the safe operation of the line, but also takes into account the needs of ecological protection. This method combines a deep learning model and can take into account more dimensional information, thereby more accurately and intelligently confirming and identifying bird invasion situations, which is conducive to improving the efficiency of bird repelling behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] in:

[0051] Figure 1A schematic diagram of a process for monitoring and repelling bird intrusion on a self-powered composite insulator in an embodiment;

[0052] Figure 2 A schematic diagram of a self-powered composite insulator for bird intrusion monitoring and repelling in one embodiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] 1: surveillance camera, 2: wireless transmission system, 3: edge computing module, 4: communication module, 5: bird-repellent equipment mechanical pole, 6: bird-repellent equipment speaker, 7: composite insulator electrode, 8: composite insulator umbrella skirt. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0056] In the following description, a large number of specific details are given in order to provide a more thorough understanding of the present invention; however, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details; in other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described, and it should be understood that the present invention can be implemented in different forms and should not be interpreted as limited to the embodiments presented here; on the contrary, providing these embodiments will make the disclosure thorough and complete and fully convey the scope of the present invention to those skilled in the art.

[0057] The purpose of the terms used herein is only to describe specific embodiments and is not intended to be limiting of the present invention. When used herein, the singular forms "a", "an" and "said / the" are also intended to include the plural forms, unless the context clearly indicates otherwise, and it should also be understood that the terms "consisting of" and / or "comprising", when used in this specification, determine the presence of the features, integers, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0058] Traditional insulators are difficult to accurately sense and monitor bird invasions during power transmission, and lack real-time feedback and alarm mechanisms, resulting in the intrusion being unable to be discovered and repaired in a timely manner, increasing the risk of the power system. The present invention proposes a self-powered composite insulator for bird invasion monitoring and expulsion, which achieves all-round prevention and control of bird invasions through integrated monitoring, intelligent judgment and expulsion functions, providing new guarantees for the safe and stable operation of power transmission systems, and capable of realizing automatic monitoring and efficient expulsion of bird invasions, while reducing dependence on traditional methods and potential problems.

[0059] In order to thoroughly understand the present invention, a detailed structure will be presented in the following description to illustrate the technical solution proposed by the present invention; optional embodiments of the present invention are described in detail as follows, but in addition to these detailed descriptions, the present invention may also have other implementation methods.

[0060] like Figure 1 As shown, in one embodiment, a self-powered composite insulator bird intrusion monitoring and expelling method is provided, and the self-powered composite insulator bird intrusion monitoring and expelling method includes steps S101 to S105, which are described in detail as follows:

[0061] S101, acquiring real-time image data of a composite insulator region;

[0062] By acquiring real-time image data of the composite insulator area, continuous monitoring of the environment around the transmission line is achieved. This real-time monitoring can promptly detect birds approaching or entering dangerous areas of the transmission line, providing a timely information basis for subsequent expulsion measures.

[0063] Preferably, the composite insulator is a self-powered insulator, which provides energy for the surveillance camera through a wireless transmission system, gets rid of the dependence on traditional external power supplies, and enables the monitoring equipment to operate stably. This not only reduces the equipment maintenance cost, but also solves the problem of unstable power supply of traditional equipment.

[0064] S102, preprocessing the real-time image data to obtain bird image data;

[0065] Preprocessing real-time image data can remove noise and enhance image quality, thereby improving the accuracy of bird image data.

[0066] In some embodiments, a monitoring camera is disposed in the composite insulator region, and the monitoring camera obtains energy through a wireless transmission system and captures images of the insulator region at a preset time period.

[0067] Preferably, by utilizing a wireless transmission system to power the surveillance camera, the problem of traditional surveillance equipment being dependent on power supply is solved, allowing the monitoring system to operate stably around the clock.

[0068] like Figure 2 The figure shows a schematic diagram of a self-powered composite insulator for bird intrusion monitoring and expulsion. The wireless energy transmission system is embedded in the composite insulator shed and provides the energy required by the surveillance camera, eliminating the reliance on traditional external power supplies, so that the surveillance equipment can operate stably. By combining energy transmission with data transmission, wireless energy supply for the surveillance camera is realized. Specifically:

[0069] (1) Surveillance camera: located near the composite insulator, it obtains energy and power through a wireless transmission system and regularly takes pictures of the insulator area. Its function is to collect real-time image information and provide a basis for subsequent intrusion judgment and expulsion;

[0070] (2) Wireless transmission system: The wireless energy transmission system is embedded in the composite insulator shed and provides the energy required by the surveillance camera, eliminating the reliance on traditional external power supplies, allowing the surveillance equipment to operate stably. By combining energy transmission with data transmission, wireless energy supply for the surveillance camera is realized;

[0071] (3) Edge computing module: It is installed near the monitoring area and receives image data from the monitoring camera. It has built-in target recognition deep learning algorithms, such as the Yolo series algorithm, which is used to quickly and accurately identify bird invasions and bird species in images. Its function is to realize intelligent analysis and judgment of image data;

[0072] (4) Communication module: connected to the edge computing module, responsible for communicating with the bird repellent device. Once the edge computing module determines that birds are invading, the communication module will send a repelling instruction to the bird repellent device to achieve information transmission; at the same time, the communication module will also output the corresponding sound instruction information based on the sound instruction information fed back by the edge computing module, so that the bird repellent device can emit targeted bird repelling sounds;

[0073] (5) Bird-repellent equipment: It consists of a bird-repellent speaker and a bird-repellent mechanical rod.

[0074] In some embodiments, preprocessing the real-time image data to obtain bird image data specifically includes:

[0075] Analyze the noise type in the real-time image data, and determine a corresponding filtering method according to the noise type to perform filtering, so as to obtain a first filtered image;

[0076] Resizing the first filtered image by resampling, cropping, or padding to obtain an image of a first size;

[0077] The first-size image is normalized, and the pixel value of the first-size image is adjusted to a preset range to obtain bird image data.

[0078] S103, determining the bird invasion situation in the bird image data and identifying the types of invading birds according to edge computing;

[0079] Using edge computing technology, the processed images are used for bird recognition, including determining the bird invasion situation and identifying the type of invading birds. It can intelligently judge the bird invasion situation. The application of edge computing makes data processing faster, reduces data transmission delays, and improves system response speed.

[0080] In some embodiments, determining the bird invasion situation in the bird image data and identifying the type of the invading bird based on edge computing specifically includes:

[0081] Using a deep learning algorithm to extract features from bird image data, the features include at least one of the shape, color and texture of the bird;

[0082] Determine the location, abundance, and behavior of birds in bird image data;

[0083] Preset invasion rules to determine whether there is a bird invasion based on the location, number and behavior of birds in the bird image data.

[0084] Preferably, in some embodiments, the Yolo series algorithms are used, and through the target recognition algorithm, the edge computing module quickly and accurately determines whether there is a bird invasion in the image and identifies the type of the invading bird.

[0085] In some embodiments, determining the bird invasion situation in the bird image data and identifying the type of the invading bird based on edge computing specifically includes:

[0086] Using a deep learning algorithm to extract and classify features of bird image data, the features include at least one of the shape, color and texture of the bird;

[0087] Traverse the entire bird image by sliding window or full convolution, generate a bounding box for each potential target location, and predict the category and confidence of the target in the bounding box;

[0088] Identify and classify invasive birds based on the category and confidence of the target within the bounding box.

[0089] S104, determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird;

[0090] This precise driving method can effectively prevent birds from staying and nesting on transmission lines, thereby avoiding line failures and safety accidents caused by bird activities. At the same time, through automated control, it reduces the need for human intervention and improves management efficiency.

[0091] In some embodiments, determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird specifically includes:

[0092] Perform non-maximum suppression on the category and confidence of the target in the predicted bounding box to retain the optimal solution of the bounding box;

[0093] Analyze the optimal solution of the bounding box and determine whether there is bird invasion;

[0094] If there is a bird invasion, a corresponding bird-repelling signal is generated according to the bird invasion situation and the type of invading bird.

[0095] S105, controlling the bird-repelling device to drive away the birds entering the monitoring area according to the bird-repelling signal.

[0096] Through intelligent analysis and precise driving away, direct harm to birds is reduced, which is beneficial to maintaining ecological balance. In addition, reducing line failures caused by bird activities can reduce maintenance costs and power outage losses, bringing significant economic benefits.

[0097] In some embodiments, controlling the bird-repelling device to drive away birds entering the monitoring area according to the bird-repelling signal specifically includes:

[0098] When the bird-repelling signal is received, the mechanical rod rotates around the insulator, and the bird-repelling equipment automatically adjusts its position and emits corresponding bird-repelling sounds, including electronic cannon sounds and the sounds of bird natural enemies.

[0099] Preferably, the bird-repellent device consists of a bird-repellent speaker and a bird-repellent mechanical rod. The bird-repellent speaker is installed on the bird-repellent mechanical rod. After receiving the command, the bird-repellent mechanical rod will automatically adjust its position, approach the insulator and rotate around it. At the same time, the bird-repellent speaker will emit targeted bird-repellent sounds according to the received shadow command information, including electronic cannon sounds, sounds of birds' natural enemies, etc., to achieve the purpose of driving away birds.

[0100] The function of the bird-repellent device is to effectively drive birds away from the insulator area through sound and movement according to the instructions of edge computing. The bird-repellent device includes a combination of a bird-repellent speaker and a bird-repellent mechanical rod, so that repellent action can be taken quickly after judging the invasion of birds. Through the application of targeted bird-repellent sound patterns, the repellent effect is improved, effectively preventing birds from interfering with insulators.

[0101] The above-mentioned bird-repelling device adopts a targeted sound mode, and emits targeted bird-repelling sounds according to the type of bird, including electronic cannon sounds, sounds of bird natural enemies, etc. At the same time, the rotation of the mechanical rod amplifies the effect of the sound while also scaring the birds. Compared with the traditional single sound mode, the repelling effect is improved. Through the targeted sound and the movement of the mechanical rod, the difficulty of birds' adaptation is increased, making the repelling effect more lasting and effective.

[0102] The present application also proposes a self-powered composite insulator bird intrusion monitoring and repelling system, the system comprising: an image acquisition unit, a preprocessing unit, an edge computing unit and a bird repelling device control unit;

[0103] An image acquisition unit, used for acquiring real-time image data of a composite insulator region;

[0104] A preprocessing unit, used for preprocessing the real-time image data to obtain bird image data;

[0105] an edge computing unit, for determining bird invasion conditions in bird image data and identifying species of invading birds based on edge computing;

[0106] The bird-repelling device control unit is used to determine the bird-repelling signal according to the bird invasion situation and the type of the invading bird; and control the bird-repelling device to drive away the birds entering the monitoring area according to the bird-repelling signal.

[0107] Preferably, if a bird invasion is determined based on the edge computing unit, the type of bird is further identified through an algorithm, and a bird-repelling sound mode is selected accordingly, and a bird-repelling instruction is sent, and the bird-repelling instruction is passed to the bird-repelling device control unit to trigger subsequent repelling operations.

[0108] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0109] Acquire real-time image data of composite insulator area;

[0110] Preprocess the real-time image data to obtain bird image data;

[0111] Determine bird invasions in bird image data and identify the species of invading birds based on edge computing;

[0112] Determine bird-repelling signals based on bird invasion situations and the types of invading birds;

[0113] The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

[0114] The present application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor in the following steps:

[0115] Acquire real-time image data of composite insulator area;

[0116] Preprocess the real-time image data to obtain bird image data;

[0117] Determine bird invasions in bird image data and identify the species of invading birds based on edge computing;

[0118] Determine bird-repelling signals based on bird invasion situations and the types of invading birds;

[0119] The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

[0120] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0121] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present application. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. The above disclosure is only a preferred embodiment of the present invention, and of course it cannot be used to limit the scope of the rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope covered by the present invention.

Claims

1. A method for monitoring and repelling bird intrusion on a self-powered composite insulator, characterized in that: The method comprises: Acquire real-time image data of composite insulator area; Preprocessing the real-time image data to obtain bird image data; Determine the bird invasion situation in the bird image data and identify the type of the invading bird based on edge computing; Determining a bird-repelling signal according to the bird invasion situation and the type of the invading bird; The bird-repelling device is controlled according to the bird-repelling signal to drive away the birds entering the monitoring area.

2. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 1, characterized in that: A monitoring camera is arranged in the composite insulator area, and the monitoring camera obtains energy through a wireless transmission system and takes images of the composite insulator area according to a preset time period.

3. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 2, characterized in that: The preprocessing of the real-time image data to obtain bird image data specifically includes: Analyze the noise type in the real-time image data, and determine a corresponding filtering method according to the noise type to perform filtering, so as to obtain a first filtered image; Resizing the first filtered image by resampling, cropping or padding to obtain an image of a first size; Normalization processing is performed on the first-size image, and pixel values ​​of the first-size image are adjusted to within a preset range to obtain bird image data.

4. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 3, characterized in that: Determining the bird invasion situation in the bird image data and identifying the types of invading birds based on edge computing specifically includes: Using a deep learning algorithm to extract features from bird image data, the features including at least one of the shape, color, and texture of the bird; determining the location, number and behavior of birds in the bird image data; The intrusion rules are preset to determine whether there is a bird invasion according to the location, quantity and behavior of the birds in the bird image data.

5. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 4, characterized in that: Determining the bird invasion situation in the bird image data and identifying the types of invading birds based on edge computing specifically includes: Using a deep learning algorithm to extract and classify features of bird image data, the features including at least one of the shape, color and texture of the bird; Traverse the entire bird image by sliding window or full convolution, generate a bounding box for each potential target location, and predict the category and confidence of the target in the bounding box; The invasive birds are identified and classified according to the categories and confidence levels of the targets within the bounding box.

6. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 5, characterized in that: Determining the bird-repelling signal according to the bird invasion situation and the type of the invading bird specifically includes: Performing non-maximum suppression on the category and confidence of the target within the predicted bounding box, and retaining the optimal solution of the bounding box; Analyzing the optimal solution of the bounding box and determining whether there is bird invasion; If there is a bird invasion, a corresponding bird-repelling signal is generated according to the bird invasion situation and the type of invading bird.

7. The method for monitoring and repelling bird invasion of a self-powered composite insulator according to claim 6, characterized in that: The controlling the bird-repelling device to drive away the birds entering the monitoring area according to the bird-repelling signal specifically includes: When a bird-repelling signal is received, the bird-repelling mechanical rod rotates around the insulator, and the bird-repelling device automatically adjusts its position and emits corresponding bird-repelling sounds, including electronic cannon sounds and sounds of bird natural enemies.

8. A self-powered composite insulator bird intrusion monitoring and repelling system, characterized in that: The system comprises: an image acquisition unit, a preprocessing unit, an edge computing unit and a bird-repelling device control unit; The image acquisition unit is used to obtain real-time image data of the composite insulator area; The preprocessing unit is used to preprocess the real-time image data to obtain bird image data; The edge computing unit is used to determine the bird invasion situation in the bird image data and identify the type of the invading bird according to edge computing; The bird-repelling device control unit is used to determine a bird-repelling signal according to the bird invasion situation and the type of the invading bird; and control the bird-repelling device to drive away the birds entering the monitoring area according to the bird-repelling signal.

9. A readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor is caused to execute the steps of the method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

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