Bird repelling method and bird repelling device for power transmission line

Abstract

The invention relates to the technical field of animal repelling, in particular to a bird repelling method and device for a power transmission line. The bird repelling method comprises the steps of data image acquisition, data image processing, building of a bird recognition model, recognition of the visual recognition device and action of the pressing launching device. The bird repelling device comprises a power supply device, a bird detection device, a visual recognition device, a pressing launching device and a self-checking device. Solar energy can be used for supplying power, the types and positions of birds are accurately judged through the intelligent detection and recognition technology, effective repelling is achieved in an accurate repelling mode, meanwhile, remote monitoring and intelligent dispatching are supported, and the safety and stability of a power transmission line are improved.

Description

Technical Field

[0001] The invention relates to the technical field of animal repelling, and in particular to a solar bird repelling device and a bird repelling method for a power transmission line. Background Art

[0002] With the significant improvement of the ecological environment around the world in recent years, the biodiversity in natural ecosystems has been greatly enriched, the number of bird populations has increased significantly, and the range of activities has also expanded. Although this positive change reflects the effectiveness of environmental protection, it also brings new challenges to the safe operation of power infrastructure, especially transmission lines. When birds are nesting, foraging or roosting, they often choose trees and towers near transmission lines as their footholds, which may not only cause line short circuits, tripping and other faults, but also may cause insulator flashover due to the accumulation of dirty things such as bird droppings, which seriously threatens the stable operation of the power grid.

[0003] Traditional bird-repelling methods, such as a Chinese patent with authorization announcement number CN213344103U, disclose a bird-repelling device for distribution lines. The bird-repelling device detects birds by cooperating with an ultrasonic generator and a signal receiver. When the presence of birds is detected around, the bird is repelled by a voice player during the day, and at night, the motor drives the shaft to rotate, thereby driving the bird-repelling unit to rotate, and the small light in the bird-repelling unit is used to repel birds. However, after long-term use of this device, birds gradually learn how to avoid these simple physical obstacles, and the bird-repelling effect gradually weakens. Therefore, in the face of the increasingly severe problem of bird intrusion, it is particularly important to develop a new, efficient, environmentally friendly and intelligent bird-repelling device. This device needs to be able to overcome the limitations of traditional methods, have higher recognition accuracy, stronger adaptability and longer service life, while reducing interference with the living environment of birds, and achieving harmonious coexistence between man and nature. Through technological innovation, we can provide more reliable and efficient solutions for the safety protection of transmission lines, ensure the stable operation of the power grid, and promote the sustainable development of society. Summary of the invention

[0004] The technical problem to be solved by the present invention is: to overcome the shortcomings of the existing technology, use solar energy for power supply, accurately determine the type and location of birds through intelligent detection and recognition technology, and adopt precise driving methods to achieve effective driving away, while supporting remote monitoring and intelligent scheduling to improve the safety and stability of transmission lines.

[0005] The technical solution of the present invention is:

[0006] A method for driving away birds from a power transmission line, the method comprising the following steps:

[0007] Data image acquisition: collect static and dynamic image data of common birds nearby;

[0008] Data image processing: Data image processing operations specifically include image scaling, grayscale, denoising, and normalization to ensure the quality and consistency of image data. The pre-processed image is divided into multiple small blocks, which serve as input data for the convolutional neural network.

[0009] Establishing a bird recognition model: The steps of establishing a bird recognition model specifically include the sub-steps of convolutional layer feature extraction, pooling layer dimensionality reduction, fully connected layer classification, training and optimization, and recognition and output;

[0010] Identification by a visual recognition device: the bird recognition model is built into a visual recognition device, and the visual recognition device identifies the type, location, and size of the bird;

[0011] Action of the suppression launch device: The suppression launch device calculates the launch parameters based on the information recognized by the visual recognition device, and controls the airflow nozzle to drive away.

[0012] Preferably, the convolutional layer feature extraction includes the following sub-steps:

[0013] Convolutional neural networks consist of multiple convolutional layers, each of which contains multiple convolutional kernels;

[0014] The convolution kernel slides on the image and extracts local features in the image through convolution operations, including the edges, textures, and shapes of birds.

[0015] Preferably, the dimensionality reduction of the pooling layer includes selecting the maximum value or average value statistics in the feature map, reducing data redundancy and computational complexity while retaining important feature information.

[0016] Preferably, the fully connected layer classification includes the following sub-steps: linearly transforming and nonlinearly activating the feature vector through a weight matrix and a bias term, and finally outputting the classification result of the bird.

[0017] Preferably, the training and optimization includes the following sub-steps:

[0018] Use a large dataset of labeled bird images to train convolutional neural networks;

[0019] Through the back-propagation algorithm, the weights and bias items in the network are adjusted to minimize the classification error;

[0020] Data enhancement techniques are used to increase the diversity and generalization ability of data, and the data enhancement techniques include rotation, scaling, and flipping.

[0021] Preferably, the identification and output includes: the image is identified by a bird identification model, and the classification result of the bird is output for subsequent decision-making and control of the suppression launch device.

[0022] Preferably, the visual recognition device calculates the actual size of the bird according to the type of bird recognized by the visual recognition device and the pixel height and pixel width of the bird image, and the actual size of the bird is calculated by the following formula:

[0023]

[0024] Among them, the camera sensor size, image resolution, focal length, shooting distance and image resolution are known, and the shooting distance is measured by an additional sensor.

[0025] Preferably, the suppression launch device dynamically adjusts the pressure of the airflow nozzle according to the size of the bird to achieve the purpose of effective expulsion and reduce energy consumption. For larger birds, the suppression launch device will increase the pressure of the airflow nozzle to ensure sufficient expulsion effect; and for smaller birds, the airflow nozzle pressure will be reduced accordingly to avoid unnecessary energy waste.

[0026] A transmission line bird-repelling device, which applies the above-mentioned transmission line bird-repelling method, comprises a power supply device, a bird detection device, a visual recognition device, a suppression launch device, and a self-checking device; the power supply device comprises a solar panel, which converts solar energy into electrical energy and stores it in a battery when receiving sufficient sunlight; the bird detection device comprises an infrared pyroelectric induction module, which is used to detect the movements of normal-temperature animals in the area, and transmits the signal to a control chip in the form of a voltage signal when bird activities are detected; the visual recognition device comprises a short-wave infrared camera, which identifies the bird species by taking images and performing image recognition; the suppression launch device comprises an air pump, an air storage tank, an electromagnetic valve, and an airflow nozzle, and the suppression launch device is used to release compressed gas to strike the target area; the self-checking device comprises a micro switch, and the micro switch is connected to the airflow nozzle.

[0027] Preferably, the air pump and the air tank are connected by an air pipe, the air tank and the solenoid valve are connected by a two-way to four-way joint, and the solenoid valve and the airflow nozzle are connected by a four-way thread.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] Environmental protection of solar power supply: solar energy is converted into electrical energy through solar panels and stored in batteries, providing continuous and clean energy for the entire bird-repelling device, reducing dependence on traditional electrical energy, and embodying the concept of environmental protection and sustainable development;

[0030] Intelligent detection and identification: Using infrared pyroelectric sensing modules and short-wave infrared cameras, it can detect the activities of birds in the area in real time and accurately identify the species of birds through image recognition technology. Intelligent detection and identification methods improve the pertinence and accuracy of bird repellent;

[0031] Precise expulsion: The suppression launcher calculates the launch parameters and controls the airflow nozzle to accurately expel birds based on the bird information provided by the visual recognition device, which not only effectively reduces the threat of birds to power transmission lines, but also avoids unnecessary expulsion and energy waste;

[0032] Bird recognition model: The bird recognition model established by convolutional neural network can efficiently and accurately identify the type, location and size of birds;

[0033] Adaptive adjustment: The bird repellent device can dynamically adjust the pressure of the airflow nozzle according to the size of the bird, achieving the dual goals of effective repelling and reducing energy consumption. The adaptive adjustment method improves the use efficiency and energy saving effect of the bird repellent device;

[0034] System self-check function: The self-check device includes a micro switch connected to the airflow nozzle, which can monitor the working status of the device in real time to ensure that the device can work normally when needed, thereby improving the reliability and stability of the bird repellent device. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 The figure is a flow chart of the bird-repelling method of the present invention.

[0037] Figure 2 It is a composition diagram of the bird-repelling device of the present invention.

[0038] Figure 3 It is a schematic diagram of the suppression launch device of the present invention.

[0039] In the figure: 1. air pump; 2. air storage tank; 3. solenoid valve; 4. nozzle. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solutions in the present invention, 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0041] Example 1

[0042] like Figure 1 As shown, the method for driving away birds from power transmission lines comprises the following steps:

[0043] Data image acquisition: Extensively collect static and dynamic image data of common birds in the vicinity, including images in different seasons and weather conditions. Use professional image acquisition equipment, such as SLR cameras or drones, to capture clear bird images, annotate and classify the images, and establish a rich and comprehensive bird image database.

[0044] Data image processing: Perform a series of preprocessing operations on the collected images, including scaling, grayscale, denoising, normalization, etc. Through image scaling technology, the image is adjusted to a uniform size; through grayscale processing, the color image is converted to a grayscale image to reduce the amount of calculation; through denoising, the noise and interference in the image are removed; through normalization, the image pixel values ​​are mapped to the range of [0,1] to improve the effect of subsequent processing. At the same time, the preprocessed image is divided into small blocks as the input data of the convolutional neural network.

[0045] Build a bird recognition model:

[0046] Convolutional layer feature extraction: Use multiple convolution kernels to slide on the image to extract local features such as edges, textures, and shapes. The number and size of convolution kernels can be adjusted according to actual needs to extract more feature information.

[0047] Pooling layer dimensionality reduction: By selecting the maximum or average value in the feature map, reducing data redundancy and computational complexity, the pooling operation can retain the key feature information in the image while reducing the image resolution and computational complexity.

[0048] Fully connected layer classification: The extracted feature information is mapped to the bird classification results. The feature information is converted into classification results through linear transformation and nonlinear activation function. The classification results are normalized using the softmax function to obtain the probability distribution of each category.

[0049] Training and optimization: The model is trained using a large number of annotated bird image datasets. The network parameters are adjusted through the back-propagation algorithm to minimize the difference between the model output and the actual label. At the same time, data enhancement techniques such as rotation, scaling, and flipping are used to increase the diversity and richness of the dataset and improve the generalization ability of the model.

[0050] As one of the core components of the new transmission line bird repellent device, the visual recognition device embeds a bird recognition model that has been trained and optimized with a large amount of data. This model uses deep learning technology to perform refined feature extraction and classification learning on a large number of bird images, and can accurately distinguish different types of birds, including common magpies, sparrows, pigeons, etc., as well as some large birds of prey that may pose a greater threat to transmission lines. By integrating a high-performance image acquisition module, the visual recognition device can capture high-definition image data around the transmission line in real time, ensuring high-definition images regardless of whether it is a clear day or a dim night. These image data are then sent to the built-in bird recognition model for rapid processing. The model can output recognition results within milliseconds, including the type of bird, its precise location, its size, and its potential threat level relative to the transmission line.

[0051] Based on the precise information provided by the visual recognition device, the suppression launch device can respond quickly and perform the expulsion action. A sophisticated pneumatic control system is designed inside the device, which can automatically calculate and adjust the optimal launch parameters according to the recognition results. These parameters include but are not limited to the pressure of the airflow, the injection angle, the duration and the injection frequency, which together determine the strength and range of the expulsion action. In order to ensure the accuracy and effectiveness of the expulsion, the pneumatic control system is also equipped with an advanced solenoid valve 3 and an airflow nozzle 4. By precisely controlling the opening timing of the solenoid valve 3 and the outlet diameter of the nozzle 4, it is possible to achieve precise strikes on the target bird area while minimizing interference with the surrounding environment.

[0052] The suppression launch device fully considers the principle of bird protection when performing the repelling action. The system has a built-in intelligent algorithm that can dynamically adjust the pressure and spray angle of the airflow nozzle 4 according to dynamic factors such as the size and flight speed of the bird to ensure that the repelling force is moderate, which can effectively force the birds away from the power transmission lines and avoid causing unnecessary harm or panic to them. In addition, the device also has the ability of self-learning and optimization, and can continuously adjust and improve the repelling strategy according to the actual repelling effect to achieve the best bird repelling effect.

[0053] Throughout the entire expulsion process, the power transmission line bird repellent device also incorporates a humanized design concept. For example, the device has a built-in sound simulation module that can play natural sounds or the calls of bird predators before and after the expulsion action to further increase the deterrent effect of the expulsion while reducing the psychological pressure on the birds. In addition, the device also has the functions of remote monitoring and remote control. Operation and maintenance personnel can use smart terminals such as mobile phones or computers to view the working status, identification results, and expulsion effects of the device in real time, and remotely adjust the working parameters of the device or perform troubleshooting as needed, greatly improving the efficiency and safety of operation and maintenance.

[0054] Example 2

[0055] like Figure 2-3 As shown, the power transmission line bird-repelling device of this embodiment cleverly combines solar power supply technology, intelligent detection and precise identification algorithms, efficient and accurate repelling mechanism and a complete self-checking system, providing an efficient and environmentally friendly solution to the problem of bird intrusion on power transmission lines.

[0056] The composition and functions of the device are detailed as follows:

[0057] Power supply:

[0058] Solar panels: Made of high-quality, high-efficiency monocrystalline silicon materials and manufactured with precision technology, they can efficiently convert solar energy into electrical energy even under weak light conditions. The anti-reflective coating on the surface increases the light absorption rate and further improves the power generation efficiency. Even in continuous rainy weather or at night, a certain power generation capacity can still be maintained through reasonable layout and angle adjustment.

[0059] Battery: A large-capacity, long-life lead-acid battery pack is configured as a backup power source, which can provide stable and reliable power support for the device in continuous rainy weather or when there is no sunshine. The battery pack adopts an intelligent charge and discharge management system, which can automatically adjust the charging current and voltage to extend the battery life and avoid damage to the battery caused by overcharging and over-discharging.

[0060] Bird Detection Device:

[0061] Infrared pyroelectric sensing module: It uses a highly sensitive infrared pyroelectric sensor, which can quickly capture the subtle movements of normal temperature animals (especially birds) in the area, such as flying, jumping, staying, etc. Its unique signal processing algorithm can effectively reduce false alarms and missed alarms, and improve the response speed and accuracy of the device.

[0062] Signal transmission system: It uses advanced wireless communication technologies, such as Zigbee or LoRa, to transmit the detected bird activity signals to the control chip in real time and accurately. At the same time, it also supports wired transmission methods, such as RS485 or CAN bus, to meet the needs of different scenarios.

[0063] Visual identification device:

[0064] Short-wave infrared camera: Equipped with advanced night vision function, using high-performance infrared sensors and image processing chips, it can clearly capture images of birds in various lighting conditions. Even at night or in low-light environments, it can capture clear bird outlines and features.

[0065] Image recognition algorithm: Based on deep learning technology, it is trained and optimized through a large number of labeled bird image data sets. The algorithm can accurately identify the species, location and size of birds, such as magpies, sparrows, pigeons and other common birds. At the same time, the algorithm also has the ability to self-learn and optimize, and can continuously adapt to new bird species and characteristics.

[0066] Suppression launcher:

[0067] Air pump 1 and air tank 2: build an efficient and stable air pressure system. Air pump 1 adopts a silent design to reduce noise pollution during operation. Air tank 2 is made of high-strength materials and can withstand the impact and corrosion of high-pressure gas. The two work together to provide continuous and sufficient driving force for the air flow nozzle.

[0068] Solenoid valve 3 and airflow nozzle 4: Solenoid valve 3 adopts a high-speed response design, which can open or close the airflow channel in a very short time. Airflow nozzle 4 adopts precision processing technology, which can accurately control the direction and pressure of the airflow. By adjusting the opening time of solenoid valve 3 and the outlet diameter of airflow nozzle 4, accurate strikes on the target area can be achieved. At the same time, the pressure of airflow nozzle 4 is dynamically adjusted according to the size of the bird, which not only ensures the repelling effect, but also effectively reduces energy consumption.

[0069] Self-check device:

[0070] Micro switch: closely connected with the airflow nozzle 4, with a highly sensitive contact design, it can monitor its working status in real time. Once abnormal conditions such as blockage or damage of the airflow nozzle 4 are detected, an alarm signal is immediately sent to the control chip.

[0071] Fault alarm system: adopts sound and light alarm. When a fault or abnormality is detected, a loud alarm sound and flashing indicator light will be issued to remind the operation and maintenance personnel to deal with it in time. At the same time, the fault information will also be recorded in the device's memory for subsequent analysis and troubleshooting.

[0072] Working principle: The above-mentioned solar bird-repellent device for power transmission lines uses solar panels to convert solar energy into electrical energy, providing green and sustainable energy for the entire system. In the device, the infrared pyroelectric sensing module and the short-wave infrared camera work together. The former can keenly capture the tiny temperature changes caused by bird activities, and the latter can clearly capture bird images under various lighting conditions, and accurately identify the type, location and size of the bird through a deep learning algorithm. Once the bird is detected approaching the power transmission line, the device will quickly calculate the best repelling strategy based on the recognition results. Then the pressure-repelling launch device composed of the air pump 1 and the solenoid valve 3 is started. By accurately controlling the pressure, direction and injection time of the airflow, the target bird is repelled in a non-contact manner, effectively avoiding harm to the bird and potential damage to the power transmission line. In addition, the device also has a built-in micro switch and fault alarm system, which can monitor the working status of key components in real time. Once an abnormality is found, it will immediately alarm and record the fault information to ensure the long-term stable operation of the device, providing an efficient, environmentally friendly and intelligent solution for the safety protection of the power transmission line.

[0073] Although the present invention has been described in detail by referring to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A method for driving away birds from a power transmission line, characterized in that: The method comprises the following steps: Data image acquisition: collect static and dynamic image data of common birds nearby; Data image processing: Data image processing operations specifically include image scaling, grayscale, denoising, and normalization to ensure the quality and consistency of image data. The pre-processed image is divided into multiple small blocks, which serve as input data for the convolutional neural network. Establishing a bird recognition model: The steps of establishing a bird recognition model specifically include the sub-steps of convolutional layer feature extraction, pooling layer dimensionality reduction, fully connected layer classification, training and optimization, and recognition and output; Identification by a visual recognition device: the bird recognition model is built into a visual recognition device, and the visual recognition device identifies the type, location, and size of the bird; Action of the suppression launch device: The suppression launch device calculates the launch parameters based on the information recognized by the visual recognition device, and controls the airflow nozzle (4) to drive.

2. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The convolutional layer feature extraction includes the following sub-steps: Convolutional neural networks consist of multiple convolutional layers, each of which contains multiple convolutional kernels; The convolution kernel slides on the image and extracts local features in the image through convolution operations, including the edges, textures, and shapes of birds.

3. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The pooling layer dimensionality reduction includes selecting the maximum value or average value of the statistics in the feature map, reducing data redundancy and computational complexity while retaining important feature information.

4. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The fully connected layer classification includes the following sub-steps: linear transformation and nonlinear activation of feature vectors through weight matrices and bias items, and finally outputting classification results of birds.

5. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The training and optimization includes the following sub-steps: Use a large dataset of labeled bird images to train convolutional neural networks; Through the back-propagation algorithm, the weights and bias items in the network are adjusted to minimize the classification error; Data enhancement techniques are used to increase the diversity and generalization ability of data, and the data enhancement techniques include rotation, scaling, and flipping.

6. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The identification and output includes: the image is identified by a bird identification model, and the classification result of the bird is output for subsequent decision-making and control of the suppression launch device.

7. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The type of bird identified by the visual recognition device is used to calculate the actual size of the bird based on the pixel height and pixel width of the bird image. The actual size of the bird is calculated using the following formula: Among them, the camera sensor size, image resolution, focal length, shooting distance and image resolution are known, and the shooting distance is measured by a distance sensor.

8. The method for driving away birds from a power transmission line according to claim 1, characterized in that: The suppressing launch device dynamically adjusts the pressure of the airflow nozzle (4) according to the size of the bird, so as to achieve the purpose of effective expulsion and reduce energy consumption. For birds with larger sizes, the suppressing launch device will increase the pressure of the airflow nozzle (4) to ensure sufficient expulsion effect; while for birds with smaller sizes, the pressure of the airflow nozzle (4) will be reduced accordingly to avoid unnecessary energy waste.

9. A transmission line bird-repelling device, using the transmission line bird-repelling method according to any one of claims 1 to 8, characterized in that: The invention comprises a power supply device, a bird detection device, a visual recognition device, a suppression launch device, and a self-test device; the power supply device comprises a solar panel, which converts solar energy into electrical energy when receiving sufficient sunlight and stores it in a storage battery; the bird detection device comprises an infrared pyroelectric induction module, which is used to detect the movements of normal temperature animals in the area, and transmits the signal to the control chip in the form of a voltage signal after detecting the bird activity; the visual recognition device comprises a short-wave infrared camera, which identifies the bird species by taking an image and performing image recognition; the suppression launch device comprises an air pump (1), an air storage tank (2), an electromagnetic valve (3), and an air flow nozzle (4); the suppression launch device is used to release compressed gas to strike the target area; the self-test device comprises a micro switch, and the micro switch is connected to the air flow nozzle (4).

10. The power transmission line bird repelling device according to claim 9, characterized in that: The air pump (1) and the air storage tank (2) are connected by an air pipe, the air storage tank (2) and the electromagnetic valve (3) are connected by a two-way to four-way joint, and the electromagnetic valve (3) and the air flow nozzle (4) are connected by a four-way thread.

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