CN109117732A - A kind of transmission line of electricity relates to the identification of bird failure bird kind figure sound and control method - Google Patents

A kind of transmission line of electricity relates to the identification of bird failure bird kind figure sound and control method Download PDF

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Publication number
CN109117732A
CN109117732A CN201810781115.7A CN201810781115A CN109117732A CN 109117732 A CN109117732 A CN 109117732A CN 201810781115 A CN201810781115 A CN 201810781115A CN 109117732 A CN109117732 A CN 109117732A
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bird
failure
sound
layers
electricity
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李阳林
李帆
况燕军
张宇
胡京
邹建章
郭志锋
徐陈华
饶斌斌
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification techniques
    • G10L17/02Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification techniques
    • G10L17/04Training, enrolment or model building
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification techniques
    • G10L17/26Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

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Abstract

The identification of bird failure bird kind figure sound is related to the present invention provides a kind of transmission line of electricity and control method, this method relate to bird failure bird kind picture and audio by compiling overhead transmission line, is sorted out to bird failure bird kind figure sound is related to;Bird kind information is identified by the method that bird kind image recognition and voice recognition combine;In conjunction with relating to bird failure risk distribution map, relevant departments' data such as forestry, birds expert, unmanned plane is maked an inspection tour, and relates to bird malfunction history data and bird-proof device Performance Evaluation, bird kind, habit and the extent of injury, shaft tower danger zone and differentiation bionomic control measure are finally pushed to operation maintenance personnel.The timeliness, science and validity for relating to bird fault pre-alarming and preventing and controlling can be improved in the present invention, and can optimize the prevention and treatment investment of electric power line pole tower bird pest, realizes differentiation bionomic control, saves resource, improve efficiency, to provide safeguard for power network safety operation.

Description

A kind of transmission line of electricity relates to the identification of bird failure bird kind figure sound and control method
Technical field
The invention belongs to High-Voltage Technology field, be specifically related to a kind of transmission line of electricity relate to the identification of bird failure bird kind figure sound and Control method.
Background technique
In recent years, as country is to the attention of environmental protection and the increase of controlling input, China's forest coverage rate is significantly mentioned It rises.Meanwhile with the improvement of ecological environment and the continuous extension of power grid, more and more birds are living near overhead transmission line It is dynamic.However, birds are near transmission line of electricity, the activities such as nest, drain on shaft tower or insulator, transmission line of electricity is be easy to cause to send out Raw trip accident.Currently, transmission line of electricity, which relates to bird failure, has become the third-largest jump of the transmission line of electricity after lightning stroke, external force are destroyed Lock reason has seriously affected the safe and stable operation of transmission line of electricity.
The safe and stable operation of transmission line of electricity is the important leverage of power grid security and customer power supply reliability, to prevent from relating to bird The generation of failure, power supply department will put into a large amount of manpower and material resources every year.Bird failure classes are related to due to caused by different birds Type is different, and control measure also answers difference, but at present because lacking necessary bird appreciation means and relevant birds knowledge, for what Relating to bird failure caused by kind of birds, we know not to the utmost, are resulted in this way to relating to the prevention and treatment of bird failure there are biggish blindness, It cannot not only achieve the purpose that effective anti-bird, but also also create very big fund waste.
Summary of the invention
For the above-mentioned prior art, the technical problem to be solved in the present invention is that provide one kind can intelligent recognition go out to relate to bird Failure bird kind information, and can targetedly carry out transmission line of electricity for power supply department and relate to the preventing and controlling of bird failure and foundation is provided The method that transmission line of electricity relates to the identification of bird failure bird kind figure sound and prevention and treatment.
In order to solve the above technical problems, the present invention provides a kind of transmission lines of electricity to relate to the identification of bird failure bird kind figure sound and prevention and treatment Method, which comprises the following steps:
(1) photo that all transmission lines of electricity of network system relate to bird failure and hidden danger is collected;
(2) all transmission lines of electricity are collected and relate to the relevant informations such as image, audio, the life habit of bird failure bird kind, and to relating to Bird failure bird kind carries out figure sound classification;
(3) bird failure bird kind image will be related to and carry out feature extraction, define a weight matrix, extracted centainly from image Feature;It is again matrix weight initialization, for weight in conjunction with image, all pixels are all capped, to generate a convolution The output of change automatically identifies the bird kind information in fault picture;
(4) bird failure bird kind sound will be related to by pretreatment, speech model is established further according to the characteristic voice of birds, to defeated The voice signal entered is analyzed, and extracts required feature, template needed for establishing speech recognition on this basis;And it calculates Machine in identification process will according to the model of speech recognition, by the sound template stored in computer and the voice signal of input into Row compares, and then according to certain search and matching strategy, finds out a series of optimal templates to match with input voice, so Afterwards according to the definition of this template, bird kind information is automatically identified by comparative analysis;
(5) identification in above-mentioned steps (3) and step (4) to bird kind is combined, in conjunction with relating to bird failure risk distribution map, woods Relevant departments' data such as industry, birds expert, unmanned plane are maked an inspection tour, and relate to bird malfunction history data and bird-proof device Performance Evaluation, finally Bird kind, habit and the extent of injury, shaft tower danger zone and differentiation bionomic control measure are pushed to operation maintenance personnel.
More preferably, the output method of convolution is as follows in the step (3):
(1) input picture by filter and can biasing set carry out convolution obtain C1 layers;
(2) S2 layers are obtained to C1 layers of characteristic pattern progress down-sampling;
(3) C3 layers are obtained to S2 layers of characteristic pattern progress convolution;
(4) S4 layers are obtained to C3 layers of characteristic pattern progress down-sampling;
(5) vector become after S4 layers of characteristic pattern rasterisation is input to traditional full Connection Neural Network and carries out further Classification, is exported.
The beneficial effects of the present invention are:
1, the present invention is identified in time by figure sound relates to bird failure bird kind, and will relate to bird failure bird kind information and prevent accordingly The measure of controlling is pushed to operation maintenance personnel, and the timeliness, science and validity for relating to bird fault pre-alarming and preventing and controlling can be improved in this way, To be provided safeguard for power network safety operation;
2, the present invention is identified by figure sound relates to bird failure bird kind, can optimize the prevention and treatment of electric power line pole tower bird pest in this way and throw Money realizes differentiation bionomic control, saves resource, improves efficiency.
Detailed description of the invention
Fig. 1 is the flow chart that a kind of transmission line of electricity of the present invention relates to the identification of bird failure bird kind figure sound and control method.
Specific embodiment
The present invention is further described with preferred embodiment with reference to the accompanying drawing.
The flow chart of the identification of bird failure bird kind figure sound and control method is related to for a kind of transmission line of electricity of the present invention as shown in Figure 1, The identification and control method comprising the following specific steps
1, the photo that all transmission lines of electricity of network system relate to bird failure and hidden danger is collected.
2, all transmission lines of electricity are collected and relate to the relevant informations such as image, audio, the life habit of bird failure bird kind, and to relating to bird Failure bird kind carries out figure sound classification.
3, bird failure bird kind image will be related to and carry out feature extraction, then define a weight matrix, and extract from image Certain feature out is then matrix weight initialization, by weight in conjunction with image, keeps all pixels all capped, from And can produce the output of a convolution, automatically identify the bird kind information in fault picture.
Wherein, the output method of the convolution of bird kind information is specific as follows:
(1) input picture by filter and can biasing set carry out convolution obtain C1 layers;
(2) S2 layers are obtained to C1 layers of characteristic pattern progress down-sampling;
(3) C3 layers are obtained to S2 layers of characteristic pattern progress convolution;
(4) S4 layers are obtained to C3 layers of characteristic pattern progress down-sampling;
(5) vector become after S4 layers of characteristic pattern rasterisation is input to traditional full Connection Neural Network and carries out further Classification, is exported.
4, bird failure bird kind sound will be related to and first pass through pretreatment, establish speech model further according to the characteristic voice of birds, it is right The voice signal of input is analyzed, and extracts required feature, template needed for establishing speech recognition on this basis;And it counts Calculation machine will be according to the model of speech recognition, by the voice signal of the sound template stored in computer and input in identification process It is compared, then according to certain search and matching strategy, finds out a series of optimal templates to match with input voice, Then according to the definition of this template, bird kind information is automatically identified by comparative analysis.
5, by the identification above to bird failure bird kind is related to, in conjunction with relating to bird failure risk distribution map, forestry, birds expert Equal relevant departments' data, unmanned plane are maked an inspection tour, and bird malfunction history data and bird-proof device Performance Evaluation are related to, finally by bird kind, habit And the extent of injury, shaft tower danger zone and differentiation bionomic control measure are pushed to operation maintenance personnel and carry out further work.
The present invention is identified in time by figure sound relates to bird failure bird kind, and will relate to bird failure bird kind information and corresponding prevention and treatment Measure is pushed to operation maintenance personnel, not only can improve the timeliness for relating to bird fault pre-alarming and preventing and controlling, science and have Effect property, and the prevention and treatment investment of electric power line pole tower bird pest can be optimized, it realizes differentiation bionomic control, saves resource, improve effect Rate, to be provided safeguard for power network safety operation.
The above only expresses the preferred embodiment of the present invention, and the description thereof is more specific and detailed, but can not be because This and be interpreted as limitations on the scope of the patent of the present invention.It should be pointed out that for those of ordinary skill in the art, Under the premise of not departing from present inventive concept, several deformations can also be made, improves and substitutes, these belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (2)

1. a kind of transmission line of electricity relates to the identification of bird failure bird kind figure sound and control method, which comprises the following steps:
(1) photo that all transmission lines of electricity of network system relate to bird failure and hidden danger is collected;
(2) all transmission lines of electricity are collected and relate to the relevant informations such as image, audio, the life habit of bird failure bird kind, and is former to bird is related to Barrier bird kind carries out figure sound classification;
(3) bird failure bird kind image will be related to and carry out feature extraction, a weight matrix is defined, certain spy is extracted from image Sign;It is again matrix weight initialization, for weight in conjunction with image, all pixels are all capped, to generate a convolution Output, automatically identify the bird kind information in fault picture;
(4) bird failure bird kind sound will be related to by pretreatment, speech model is established further according to the characteristic voice of birds, to input Voice signal is analyzed, and extracts required feature, template needed for establishing speech recognition on this basis;And computer exists The sound template stored in computer and the voice signal of input to be compared according to the model of speech recognition in identification process Compared with finding out a series of optimal templates to match with input voice, then root then according to certain search and matching strategy The definition of template accordingly automatically identifies bird kind information by comparative analysis;
(5) identification in above-mentioned steps (3) and step (4) to bird kind is combined, in conjunction with relating to bird failure risk distribution map, forestry, The relevant departments such as birds expert data, unmanned plane are maked an inspection tour, and bird malfunction history data and bird-proof device Performance Evaluation are related to, finally by bird Kind, habit and the extent of injury, shaft tower danger zone and differentiation bionomic control measure are pushed to operation maintenance personnel.
2. a kind of transmission line of electricity according to claim 1 relates to the identification of bird failure bird kind figure sound and control method, feature exist In the output method of convolution is as follows in the step (3):
(1) input picture by filter and can biasing set carry out convolution obtain C1 layers;
(2) S2 layers are obtained to C1 layers of characteristic pattern progress down-sampling;
(3) C3 layers are obtained to S2 layers of characteristic pattern progress convolution;
(4) S4 layers are obtained to C3 layers of characteristic pattern progress down-sampling;
(5) vector become after S4 layers of characteristic pattern rasterisation is input to traditional full Connection Neural Network and is further divided Class is exported.
CN201810781115.7A 2018-07-16 2018-07-16 A kind of transmission line of electricity relates to the identification of bird failure bird kind figure sound and control method Pending CN109117732A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109902712A (en) * 2019-01-17 2019-06-18 国网山东省电力公司临沂供电公司 Transmission line of electricity bird repellent method based on unmanned plane inspection
CN110515084A (en) * 2019-07-29 2019-11-29 生态环境部南京环境科学研究所 A kind of field birds tag number estimate method based on acoustic imaging technology
CN113536000A (en) * 2021-07-14 2021-10-22 西安工程大学 Mask RCNN-based power transmission iron tower bird-involved fault state identification and evaluation method
CN113678814A (en) * 2021-07-01 2021-11-23 广东电网有限责任公司中山供电局 Bird damage prevention and control device and method for power transmission tower
CN113707158A (en) * 2021-08-02 2021-11-26 南昌大学 Power grid harmful bird seed singing recognition method based on VGGish migration learning network
CN113991866A (en) * 2021-11-11 2022-01-28 国网福建省电力有限公司南平供电公司 Position-judgment-based power transmission tower bird damage severity judgment method
CN114611730A (en) * 2022-03-18 2022-06-10 广东电网有限责任公司 Differential operation and maintenance method, device, medium and terminal equipment for power transmission line
CN115762529A (en) * 2022-10-17 2023-03-07 国网青海省电力公司海北供电公司 Method for preventing cable from being broken outside by using voice recognition perception algorithm

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060150920A1 (en) * 2005-01-11 2006-07-13 Patton Charles M Method and apparatus for the automatic identification of birds by their vocalizations
US7777747B1 (en) * 2005-01-22 2010-08-17 Charles Krenz Handheld bird identification tool with graphical selection of filter attributes
CN102065272A (en) * 2009-11-13 2011-05-18 中国科学院遥感应用研究所 Acoustic image integrated wild bird recognition technology-based remote wireless monitoring system
CN202058443U (en) * 2011-05-09 2011-11-30 杨捷 Bird voice recognition system
CN104658538A (en) * 2013-11-18 2015-05-27 中国计量学院 Mobile bird recognition method based on birdsong
CN105356396A (en) * 2015-12-17 2016-02-24 无锡桑尼安科技有限公司 Bird preventing method for transmission line
CN105514865A (en) * 2015-12-17 2016-04-20 徐晶 Intelligent high-voltage line anti-bird system
CN105631469A (en) * 2015-12-18 2016-06-01 华南理工大学 Bird image recognition method by multilayer sparse coding features
CN205865763U (en) * 2016-06-24 2017-01-11 国家电网公司 Bird system is driven to interactive intelligence based on image detection
CN107393542A (en) * 2017-06-28 2017-11-24 北京林业大学 A kind of birds species identification method based on binary channels neutral net
CN107729363A (en) * 2017-09-06 2018-02-23 上海交通大学 Based on GoogLeNet network model birds population identifying and analyzing methods
CN108197591A (en) * 2018-01-22 2018-06-22 北京林业大学 A kind of birds individual discrimination method based on multiple features fusion transfer learning

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060150920A1 (en) * 2005-01-11 2006-07-13 Patton Charles M Method and apparatus for the automatic identification of birds by their vocalizations
US7777747B1 (en) * 2005-01-22 2010-08-17 Charles Krenz Handheld bird identification tool with graphical selection of filter attributes
CN102065272A (en) * 2009-11-13 2011-05-18 中国科学院遥感应用研究所 Acoustic image integrated wild bird recognition technology-based remote wireless monitoring system
CN202058443U (en) * 2011-05-09 2011-11-30 杨捷 Bird voice recognition system
CN104658538A (en) * 2013-11-18 2015-05-27 中国计量学院 Mobile bird recognition method based on birdsong
CN105356396A (en) * 2015-12-17 2016-02-24 无锡桑尼安科技有限公司 Bird preventing method for transmission line
CN105514865A (en) * 2015-12-17 2016-04-20 徐晶 Intelligent high-voltage line anti-bird system
CN105631469A (en) * 2015-12-18 2016-06-01 华南理工大学 Bird image recognition method by multilayer sparse coding features
CN205865763U (en) * 2016-06-24 2017-01-11 国家电网公司 Bird system is driven to interactive intelligence based on image detection
CN107393542A (en) * 2017-06-28 2017-11-24 北京林业大学 A kind of birds species identification method based on binary channels neutral net
CN107729363A (en) * 2017-09-06 2018-02-23 上海交通大学 Based on GoogLeNet network model birds population identifying and analyzing methods
CN108197591A (en) * 2018-01-22 2018-06-22 北京林业大学 A kind of birds individual discrimination method based on multiple features fusion transfer learning

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙斌 等: "基于自适应最优核时频分布的鸟类识别", 《数据采集与处理》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109902712A (en) * 2019-01-17 2019-06-18 国网山东省电力公司临沂供电公司 Transmission line of electricity bird repellent method based on unmanned plane inspection
CN109902712B (en) * 2019-01-17 2021-04-16 国网山东省电力公司临沂供电公司 Unmanned aerial vehicle inspection-based bird repelling method for power transmission line
CN110515084A (en) * 2019-07-29 2019-11-29 生态环境部南京环境科学研究所 A kind of field birds tag number estimate method based on acoustic imaging technology
CN113678814A (en) * 2021-07-01 2021-11-23 广东电网有限责任公司中山供电局 Bird damage prevention and control device and method for power transmission tower
CN113678814B (en) * 2021-07-01 2022-11-25 广东电网有限责任公司中山供电局 Bird pest prevention and control device for power transmission tower
CN113536000A (en) * 2021-07-14 2021-10-22 西安工程大学 Mask RCNN-based power transmission iron tower bird-involved fault state identification and evaluation method
CN113536000B (en) * 2021-07-14 2022-10-18 西安工程大学 Mask RCNN-based power transmission iron tower bird-involved fault state identification and evaluation method
CN113707158A (en) * 2021-08-02 2021-11-26 南昌大学 Power grid harmful bird seed singing recognition method based on VGGish migration learning network
CN113991866A (en) * 2021-11-11 2022-01-28 国网福建省电力有限公司南平供电公司 Position-judgment-based power transmission tower bird damage severity judgment method
CN113991866B (en) * 2021-11-11 2023-11-21 国网福建省电力有限公司南平供电公司 Transmission tower bird damage severity judging method based on position judgment
CN114611730A (en) * 2022-03-18 2022-06-10 广东电网有限责任公司 Differential operation and maintenance method, device, medium and terminal equipment for power transmission line
CN115762529A (en) * 2022-10-17 2023-03-07 国网青海省电力公司海北供电公司 Method for preventing cable from being broken outside by using voice recognition perception algorithm

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