CN117981744A - System and method for protecting transmission line from bird damage, electronic equipment and storage medium - Google Patents
System and method for protecting transmission line from bird damage, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a system, a method, electronic equipment and a storage medium for protecting a power transmission line from bird damage, and belongs to the field of operation and maintenance of the power transmission line. The system comprises: the multi-sensor integrated system is used for collecting bird images and video data around the transmission line and the tower in real time; the data processing analysis module is used for processing and analyzing by utilizing a machine learning algorithm and extracting characteristic information related to bird suffering; the intelligent recognition and early warning system is used for recognizing birds based on the characteristic information in combination with the historical data and the expert knowledge base, and sending an early warning signal when the potential bird is recognized; and the automatic control and execution module is used for starting the expelling device to expel birds. The bird species are identified by utilizing a machine learning algorithm, so that the birds are accurately identified, and further, different bird repelling modes are adopted in a targeted manner to repel birds, and the power transmission line can be monitored in real time by means of the power transmission line bird damage prevention protection system, so that the bird damage problem can be discovered and treated in time through the automatic control and execution module.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of power transmission lines, in particular to a system and a method for protecting the power transmission lines from bird damage, electronic equipment and a storage medium.
Background
Bird damage in a transformer substation is a problem which puzzles a power system for a long time, birds often nest, stay or excrete on a transmission line tower in the running process of the transmission line, and the birds possibly drop sundries such as branches in the nesting process, so that short circuit tripping of power equipment below is caused; in windy weather, bird nests can be blown down to nearby electrified equipment, so that faults such as short circuit tripping of the nearby equipment are caused, and the normal operation of a power system is seriously influenced.
The traditional measures for preventing bird damage of the transformer substation can be mainly divided into two types: firstly, regularly carry out artifical inspection, secondly install and prevent bird cover, fender bird board, drive bird ware etc. although can play certain effect, have inefficiency, difficult to maintain scheduling problem. The intelligent bird pest prevention device provided by the patent (CN 202980002U) can effectively utilize a plurality of bird prevention devices to cooperatively work to achieve the aim of bird prevention, but can not identify the types of birds, and can specifically and relatively achieve the effect of bird prevention.
Disclosure of Invention
The embodiment of the invention aims to provide a system, a method, electronic equipment and a storage medium for protecting a power transmission line from bird damage, which are used for solving the problems that the types of birds cannot be identified, targeted bird driving is carried out and the bird driving effect is poor in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a protection system for preventing bird damage on a power transmission line, including:
the multi-sensor integrated system is used for collecting bird images and video data around the transmission line and the tower in real time;
The data processing and analyzing module is used for receiving bird images and video data acquired by the multi-sensor integrated system, performing real-time processing and analysis by utilizing a machine learning algorithm and extracting characteristic information related to bird diseases;
The intelligent recognition and early warning system is used for recognizing birds around the transmission line and the tower based on the characteristic information and combining historical data and an expert knowledge base, sending an early warning signal when the potential bird is recognized, and judging whether to start bird damage prevention measures according to a bird activity recognition algorithm so as to repel birds;
and the automatic control and execution module is used for automatically starting the expelling device to expel birds when receiving the early warning signal sent by the intelligent recognition and early warning system.
Optionally, the multi-sensor integrated system includes an infrared sensor, a sound sensor, and a video camera.
Optionally, the bird damage protection system for the power transmission line further includes:
The solar power supply device is used for providing electric energy for the multi-sensor integrated system, the data processing and analyzing module, the intelligent recognition and early warning system and the automatic control and execution module.
On the other hand, the invention also provides a method for protecting the transmission line from bird damage based on the system for protecting the transmission line from bird damage, which comprises the following steps:
Acquiring the activities and sounds of birds around a power transmission line and a tower pole, bird image and video data, historical data and an expert knowledge base;
Processing and analyzing the motion and sound of the birds and the bird image and video data in real time by using a machine learning algorithm, and extracting characteristic information related to bird diseases;
Based on the characteristic information and combining the historical data and an expert knowledge base, birds around the power transmission line and the tower are identified, an early warning signal is sent out when potential bird diseases are identified, and whether bird pest prevention measures are started or not is judged according to a bird activity identification algorithm so as to repel birds.
Optionally, the anti-bird measures include, but are not limited to, sound wave, light, and mechanical vibration measures.
Optionally, the processing and analyzing the activity and sound of the birds and the bird image and video data in real time by using a machine learning algorithm to extract characteristic information related to bird suffering, including:
performing image binarization processing on each frame of video image in the bird image and the video data to obtain a binarized image;
Performing edge detection on the binarized image to generate an interested region, using image second-order information as deep features to perform feature detection on the whole, head, trunk and wing parts of birds, and realizing decision level fusion through weighted average;
dividing different parts of birds by using a shallow convolutional neural network, calculating second-order information covariance of an image by using the deep convolutional neural network, and training base classifiers of different categories to obtain probability scores of the different parts;
And taking a prediction frame with the same confidence level for the whole, head, body and wing parts of the birds as characteristic information by using a prediction frame filtering method.
On the other hand, the invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps of the method for protecting the power transmission line from bird damage are realized when the processor executes the program.
In another aspect, the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the above-mentioned method for protecting a power transmission line from bird damage.
Through the technical scheme, the machine learning algorithm is utilized to identify the types of birds, so that the birds are accurately identified, misjudgment and missed judgment are avoided, and further, different bird-repelling modes are adopted in a targeted manner to repel birds, so that the efficiency is improved, the power transmission line can be monitored in real time by means of the power transmission line anti-bird damage protection system, and the bird damage problem can be timely discovered and treated through the automatic control and execution module.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
fig. 1 is a schematic structural diagram of a protection system for preventing bird damage of a power transmission line according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a bird damage protection device for a power transmission line according to an embodiment of the present invention;
FIG. 3 is a flowchart of an implementation of a method for protecting a transmission line from bird damage based on a system for protecting the transmission line from bird damage according to an embodiment of the present invention;
Fig. 4 is a flowchart of a detailed implementation of a method for protecting a power transmission line from bird damage based on a system for protecting a power transmission line from bird damage according to an embodiment of the present invention.
Detailed Description
The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
Referring to fig. 1, a schematic structural diagram of a bird damage protection system for a power transmission line according to an embodiment of the present invention includes:
the multi-sensor integrated system 100 is used for collecting bird images and video data around a power transmission line and a tower in real time;
Specifically, the multi-sensor integrated system comprises an infrared sensor, a sound sensor and a video camera.
The data processing and analyzing module 101 is used for receiving bird image and video data acquired by the multi-sensor integrated system, performing real-time processing and analysis by utilizing a machine learning algorithm, and extracting characteristic information related to bird diseases;
The intelligent recognition and early warning system 102 is used for recognizing birds around the transmission line and the tower based on the characteristic information and combining historical data and an expert knowledge base, sending an early warning signal when the potential bird is recognized, and judging whether to start bird damage prevention measures according to a bird activity recognition algorithm so as to repel birds;
and the automatic control and execution module 103 is used for automatically starting the expelling device to expel birds when receiving the early warning signal sent by the intelligent recognition and early warning system.
In some embodiments, referring to fig. 1, the protection system for preventing bird damage for electric transmission line further includes: the solar power supply device 104 is configured to provide electric energy for the multi-sensor integrated system, the data processing and analyzing module, the intelligent recognition and early warning system and the automatic control and execution module.
The solar power supply device is energy-saving and environment-friendly, and can adapt to various severe environments.
In some embodiments, referring to fig. 2, a schematic structural diagram of a bird damage protection device for a power transmission line according to an embodiment of the present invention includes: the anti-bird damage protection device comprises a vertical rod, a solar power supply device, an integrated system device, a camera, a fixing device and a bird repelling device, wherein the fixing device is arranged at the bottom of the vertical rod and used for fixing the anti-bird damage protection device of a power transmission line, the integrated system device is fixed on the vertical rod, the camera is arranged on one side of the integrated system device, the bird repelling device is arranged on the other side of the integrated system device, and the solar power supply device is arranged at the top end of the vertical rod and used for providing electric energy for the anti-bird damage protection device of the power transmission line.
The device integrates various sensors, combines a machine learning algorithm, and monitors and drives birds staying on a transmission line in real time through an intelligent recognition technology, so that faults caused by bird damage are prevented.
In some embodiments, the transmission line bird damage protection device is mounted on a tower cross arm of the transmission line, and the integrated system senses nearby bird activities and sounds in real time and sends the sensing results to the data processing and analysis module. The data processing and analyzing module processes and analyzes in real time by utilizing a machine learning algorithm, extracts characteristic information related to bird suffering and sends the characteristic information to the intelligent recognition and early warning system. The intelligent recognition and early warning system recognizes birds around the power transmission line and the tower according to the characteristic information and by combining the historical data with the expert knowledge base, judges whether to start bird damage prevention measures according to a bird activity recognition algorithm, sends early warning signals when potential bird damage is recognized, and sends instructions to the automatic control and execution module. After the automatic control and execution module receives the instruction, the driving device is automatically started, such as releasing sound waves, light rays or mechanical vibration and the like to drive birds, and the whole implementation process adopts the solar power supply device to provide electric energy.
The bird damage protection device for the power transmission line based on intelligent recognition adopts a mode of combining self-adaptive sensing, intelligent recognition, automatic early warning and various bird damage prevention measures, so that damage to the power transmission line caused by birds can be effectively prevented, and the running stability and reliability of a power system are improved. Meanwhile, the device can be provided with different working modes, such as timing starting, manual control and the like, so as to adapt to different application scenes and requirements.
Referring to fig. 3, a flowchart of an implementation of a method for protecting a power transmission line from bird damage based on a system for protecting the power transmission line from bird damage according to an embodiment of the present invention is shown, including the following steps:
Step 300: and acquiring the activities and sounds of birds around the transmission line and the tower, bird image and video data, historical data and expert knowledge base.
Step 301: and processing and analyzing the activities and sounds of the birds and the bird images and video data in real time by using a machine learning algorithm, and extracting characteristic information related to bird diseases.
In some embodiments, the following steps are specifically performed when performing step 301:
S3010: and performing image binarization processing on each frame of video image in the bird image and the video data to obtain a binarized image.
S3011: and carrying out edge detection on the binarized image to generate an interested region, carrying out feature detection on the whole, head, trunk and wing parts of the bird by using the image second-order information as deep features, and realizing the fusion of decision levels through weighted average.
In some embodiments, the edge information is extracted using a laplace operator, the edge information is enhanced using an evolutionary neural network, and a region of interest is generated from the enhanced edge information.
S3012: dividing different parts of birds by using a shallow convolutional neural network, calculating second-order information covariance of images by using the deep convolutional neural network, and training different types of base classifiers to obtain probability scores of the different parts.
S3013: and taking a prediction frame with the same confidence level for the whole, head, body and wing parts of the birds as characteristic information by using a prediction frame filtering method.
Step 302: based on the characteristic information and combining the historical data and an expert knowledge base, birds around the power transmission line and the tower are identified, an early warning signal is sent out when potential bird diseases are identified, and whether bird pest prevention measures are started or not is judged according to a bird activity identification algorithm so as to repel birds.
Preferably, the bird damage prevention measures include, but are not limited to, measures of releasing sound waves, light rays and mechanical vibration, cannot cause damage to birds, and meets the environmental protection requirement.
Referring to fig. 4, a detailed implementation flowchart of a method for protecting a power transmission line from bird damage based on a system for protecting the power transmission line from bird damage according to an embodiment of the present invention includes the following steps:
S400: and acquiring the activities and sounds of birds around the transmission line and the tower, bird image and video data, historical data and expert knowledge base.
S401: and performing image binarization processing on each frame of video image in the bird image and the video data to obtain a binarized image.
S402: and carrying out edge detection on the binarized image to generate an interested region, carrying out feature detection on the whole, head, trunk and wing parts of the bird by using the image second-order information as deep features, and realizing the fusion of decision levels through weighted average.
S403: dividing different parts of birds by using a shallow convolutional neural network, calculating second-order information covariance of images by using the deep convolutional neural network, and training different types of base classifiers to obtain probability scores of the different parts.
Specifically, the convolutional neural network comprises an input layer, a convolutional layer, an activation layer, a pooling layer and a full-connection layer, wherein bird images and bird sounds are input to the input layer through two-dimensional waveform data subjected to Fourier transformation, the input layer carries out mean value removal, normalization and PCA/whitening treatment, the bird images and bird sounds are input to the shallow convolutional layer, edge features are extracted, global features are extracted through deep convolution, the edge features and the global features are input to the activation layer to carry out nonlinear mapping, feature dimensions are reduced through the pooling layer, and finally the extracted features are summarized through the full-connection layer.
S404: and taking a prediction frame with the same confidence level for the whole, head, body and wing parts of the birds as characteristic information by using a prediction frame filtering method.
S405: based on the characteristic information and combining the historical data and an expert knowledge base, birds around the power transmission line and the tower are identified, an early warning signal is sent out when potential bird diseases are identified, and whether bird pest prevention measures are started or not is judged according to a bird activity identification algorithm so as to repel birds.
It should be understood that the expert knowledge base includes at least the names, shape characteristics, sounds, and corresponding other various life habits of the various birds.
In order to verify the practical effect of the present application, field tests were performed on multiple transmission line sections. The test result shows that the device can accurately identify bird trouble, timely start bird prevention measures, effectively avoid damage of birds to the power transmission line, and compared with the traditional bird trouble prevention method, the method has higher intelligent and automatic degree, reduces maintenance cost and improves bird trouble prevention effect.
Through utilizing machine learning algorithm to discern the kind of bird, realize the accurate discernment to birds, avoid misjudgement and leak judgement, and then the pertinence adopts different bird repellent modes to drive the bird, adopts modes such as sound wave, light or mechanical vibration to drive the mode, can not lead to the fact the injury to birds, accords with the environmental protection requirement, moreover through intelligent camera, not only can in time discover and handle bird pest problem to equipment's real-time supervision moreover.
On the other hand, the embodiment of the invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the steps of the method for protecting the power transmission line from bird damage according to any one of the embodiments are realized when the processor executes the program.
On the other hand, the embodiment of the invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program when executed by a processor realizes the steps of the method for protecting the power transmission line from bird damage according to any one of the embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (8)
1. A transmission line bird damage protection system, comprising:
the multi-sensor integrated system is used for collecting bird images and video data around the transmission line and the tower in real time;
The data processing and analyzing module is used for receiving bird images and video data acquired by the multi-sensor integrated system, performing real-time processing and analysis by utilizing a machine learning algorithm and extracting characteristic information related to bird diseases;
The intelligent recognition and early warning system is used for recognizing birds around the transmission line and the tower based on the characteristic information and combining historical data and an expert knowledge base, sending an early warning signal when the potential bird is recognized, and judging whether to start bird damage prevention measures according to a bird activity recognition algorithm so as to repel birds;
and the automatic control and execution module is used for automatically starting the expelling device to expel birds when receiving the early warning signal sent by the intelligent recognition and early warning system.
2. The transmission line bird damage protection system of claim 1, wherein the multi-sensor integrated system includes an infrared sensor, a sound sensor, and a video camera.
3. The transmission line bird damage protection system of claim 1, further comprising:
The solar power supply device is used for providing electric energy for the multi-sensor integrated system, the data processing and analyzing module, the intelligent recognition and early warning system and the automatic control and execution module.
4. A transmission line bird damage protection method based on the transmission line bird damage protection system of any one of claims 1 to 3, comprising:
Acquiring the activities and sounds of birds around a power transmission line and a tower pole, bird image and video data, historical data and an expert knowledge base;
Processing and analyzing the motion and sound of the birds and the bird image and video data in real time by using a machine learning algorithm, and extracting characteristic information related to bird diseases;
Based on the characteristic information and combining the historical data and an expert knowledge base, birds around the power transmission line and the tower are identified, an early warning signal is sent out when potential bird diseases are identified, and whether bird pest prevention measures are started or not is judged according to a bird activity identification algorithm so as to repel birds.
5. The method of claim 4, wherein the anti-bird damage measure includes, but is not limited to, sound wave, light, and mechanical vibration measures.
6. The method for protecting a power transmission line from bird damage according to claim 4, wherein the processing and analyzing the bird's activities and sounds and bird image and video data in real time using a machine learning algorithm to extract characteristic information related to bird's trouble comprises:
performing image binarization processing on each frame of video image in the bird image and the video data to obtain a binarized image;
Performing edge detection on the binarized image to generate an interested region, using image second-order information as deep features to perform feature detection on the whole, head, trunk and wing parts of birds, and realizing decision level fusion through weighted average;
dividing different parts of birds by using a shallow convolutional neural network, calculating second-order information covariance of an image by using the deep convolutional neural network, and training base classifiers of different categories to obtain probability scores of the different parts;
And taking a prediction frame with the same confidence level for the whole, head, body and wing parts of the birds as characteristic information by using a prediction frame filtering method.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for protecting an electric transmission line from bird damage according to any one of claims 4-6 when the program is executed.
8. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the transmission line bird damage protection method according to any of claims 4-6.
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