CN114724268A - Power transmission line inspection method, device, equipment and storage medium - Google Patents

Power transmission line inspection method, device, equipment and storage medium Download PDF

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Publication number
CN114724268A
CN114724268A CN202210334862.2A CN202210334862A CN114724268A CN 114724268 A CN114724268 A CN 114724268A CN 202210334862 A CN202210334862 A CN 202210334862A CN 114724268 A CN114724268 A CN 114724268A
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power transmission
transmission line
image
inspection method
model
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谌昕
周军
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Wuhan Luojia Tianming Electric Power Technology Co ltd
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Wuhan Luojia Tianming Electric Power Technology Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/20Checking timed patrols, e.g. of watchman
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • 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
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a method, a device, equipment and a storage medium for power transmission line inspection, wherein the method comprises the following steps: acquiring a power transmission line image shot by a collecting device, and preprocessing the power transmission line image; inputting the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result; and sending out corresponding alarm information based on the line detection result. The invention can directly identify the abnormity of the power transmission line through the image, realizes the routing inspection of the power transmission line, increases the routing inspection efficiency and accuracy, reduces the labor intensity of workers, avoids the potential safety hazard, can perform routing inspection on monitoring blind areas which cannot be reached by the workers, and has high routing inspection coverage rate.

Description

Power transmission line inspection method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of power transmission line detection, in particular to a power transmission line inspection method, a device, equipment and a storage medium.
Background
In order to guarantee normal power supply of a power transmission line, the power transmission line needs to be regularly inspected, at present, a common inspection mode is that manual inspection is carried out, the efficiency is low, potential safety hazards exist, specifically, the power transmission line cannot be covered by 100% in manual inspection, places where personnel cannot reach exist are provided with monitoring blind areas, the traditional manual inspection can not only cause the problems of large workload, high labor intensity and the like of inspection personnel, and meanwhile, the inspection operation and maintenance cost of a power department can also be increased. And thirdly, the power transmission lines are mostly deployed in mountainous areas and suburb mountains, when severe weather such as rain, snow, heavy fog and the like is encountered, a great number of potential safety hazards exist in long-distance and large-scale inspection operation, in addition, whether the lines are normal or not needs to be judged manually after manual inspection, the professional requirements on personnel are high, and the inspection efficiency is also seriously influenced.
Disclosure of Invention
The invention aims to overcome the technical defects, provides a power transmission line inspection method, a device, equipment and a storage medium, and solves the technical problems of low manual inspection efficiency, high potential safety hazard and low inspection coverage rate in the prior art.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a power transmission line inspection method, which comprises the following steps:
acquiring a power transmission line image shot by a collecting device, and preprocessing the power transmission line image;
inputting the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result;
and sending out corresponding alarm information based on the line detection result.
Preferably, in the method for inspecting the power transmission line, the acquiring the power transmission line image shot by the collecting device and preprocessing the power transmission line image include:
acquiring a power transmission line image shot by acquisition equipment;
and carrying out shielding cutting on the image of the power transmission line so as to divide a scene contained in the image of the power transmission line into a plurality of different spatial levels and cut off invisible scene parts.
Preferably, in the method for routing inspection of the power transmission line, the method further includes:
acquiring a training set and constructing an initial training model, wherein the training set comprises a plurality of groups of power transmission line images and labeled images which correspond to the power transmission line images one by one;
and training the initial training model by adopting the training set to obtain a completely trained line detection model.
Preferably, in the power transmission line inspection method, the line detection model is a machine learning model or a deep learning model.
Preferably, in the method for routing inspection of the power transmission line, the method further includes:
and carrying out sparsification on the convolution kernel of the initial training model.
Preferably, in the method for inspecting the power transmission line, the line detection result includes an abnormal result and a normal result, and the abnormal result is an image of the power transmission line marked with abnormal information.
Preferably, in the method for routing inspection of a power transmission line, the sending of the corresponding alarm information includes:
and outputting voice prompt information containing abnormal information according to the power transmission line image marked with the abnormal information.
In a second aspect, the present invention further provides a power transmission line inspection device, including:
the image acquisition module is used for acquiring the power transmission line image shot by the acquisition equipment and preprocessing the power transmission line image;
the image recognition module is used for inputting the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result;
and the alarm module is used for sending out corresponding alarm information based on the line detection result.
In a third aspect, the present invention further provides an electronic device, including: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the power transmission line inspection method as described above.
In a fourth aspect, the present invention also provides a computer readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps in the power transmission line inspection method as described above.
Compared with the prior art, the power transmission line inspection method, the device, the equipment and the storage medium provided by the invention have the advantages that the power transmission line image is obtained, the image is processed and then output to the well-trained line detection model, the line detection result is obtained, and then the corresponding alarm information is sent out based on the line detection result. Can directly discern transmission line's anomaly through the image, realize patrolling and examining transmission line, increase the efficiency and the rate of accuracy of patrolling and examining, reduce artificial intensity of labour, avoid appearing the potential safety hazard, can patrol and examine the monitoring blind area that the manual work can't reach moreover, patrol and examine the coverage rate height.
Drawings
Fig. 1 is a flowchart of an embodiment of a method for inspecting a power transmission line according to the present invention;
fig. 2 is a schematic diagram of an embodiment of the power transmission line inspection device provided by the invention;
fig. 3 is a schematic diagram of an operating environment of an embodiment of the power transmission line inspection program according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, a method for inspecting a power transmission line according to an embodiment of the present invention includes the following steps:
s100, acquiring a power transmission line image shot by a collecting device, and preprocessing the power transmission line image;
s200, inputting the preprocessed power transmission line image into a fully trained line detection model to obtain a line detection result;
and S300, sending corresponding alarm information based on the line detection result.
In this embodiment, a line detection result is obtained by acquiring an image of a power transmission line, processing the image, and outputting the processed image to a line detection model with complete training, and then, corresponding alarm information is sent out based on the line detection result. Can directly discern transmission line's anomaly through the image, realize patrolling and examining transmission line, increase the efficiency and the rate of accuracy of patrolling and examining, reduce artificial intensity of labour, avoid appearing the potential safety hazard, can patrol and examine the monitoring blind area that the manual work can't reach moreover, patrol and examine the coverage rate height.
In some embodiments, step S100 specifically includes:
acquiring a power transmission line image shot by acquisition equipment;
and carrying out shielding cutting on the image of the power transmission line so as to divide a scene contained in the image of the power transmission line into a plurality of different spatial levels and cut off invisible scene parts.
In this embodiment, the collection equipment can be the equipment that can shoot such as camera, unmanned aerial vehicle, when the installation, can be right collection equipment sets up, so that collection equipment carries out the collection of image regularly.
In order to reduce redundancy of subsequent models, the embodiment of the invention also performs occlusion clipping and application level detail division on the image, and specifically, the occlusion clipping and application level detail models are two effective three-dimensional complex scene rendering acceleration algorithms. In order to rapidly render a three-dimensional complex scene, the embodiment of the invention provides an algorithm framework combining a hierarchical detail model and an occlusion clipping technology, wherein the algorithm firstly divides the scene into different spatial hierarchical structures in a preprocessing stage; then, at the running time, for a higher spatial level, the visibility of the scene can be judged by applying a shielding cutting technology, and the invisible scene part is cut; at the local lower level, a mesh reduction method is applied to select the appropriate model level details.
In some embodiments, in step S200, the method for training the route detection model includes:
acquiring a training set and constructing an initial training model, wherein the training set comprises a plurality of groups of power transmission line images and labeled images which correspond to the power transmission line images one by one;
and training the initial training model by adopting the training set to obtain a completely-trained line detection model.
In this embodiment, the power transmission line image used for training may include an abnormal object or have an abnormal condition, and the annotation image corresponding to the abnormal object may be obtained in a manual annotation and/or automatic annotation manner. For example, an abnormal object or an abnormal state in the image can be identified by a worker according to experience, then the image is marked, and then the marked image and the power transmission line image are input into an initial training model for training, so that a completely trained line detection model is obtained.
In some embodiments, the line detection model is a machine learning model or a deep learning model, and the initial training model is also a machine learning model or a deep learning model. The machine learning model may include, but is not limited to, a linear regression model, a ridge regression model, a support vector machine, a decision tree, a fully-connected neural network, a recurrent neural network, and the like. The deep learning model may include, but is not limited to, a convolutional neural network, a full convolutional neural network, a residual error network, and the like. In this embodiment, the line detection model adopts a full convolution neural network model, such as a V-Net neural network model, an SN neural network model, an MSN neural network model, and the like. The input of the line detection model is a power transmission line image, and the output of the line detection model is a power transmission line image with marking information.
In some embodiments, in order to reduce the computation of the model by training a network with high sparsity, the method further comprises:
and carrying out sparsification on the convolution kernel of the initial training model.
Specifically, the sparsity of W can be reduced by adding an L0 paradigm about W to a loss function of the network, but the L0 paradigm causes an N-P problem which is a difficult-to-optimize solution problem, so an author trains the sparsized network from another idea. The algorithm flow is as follows:
training the network s1 normally, then Ok (W) indicates that the largest k values in W are selected, the rest values are set to be 0, suppp (W, k) indicates the sequence number of the largest k values in W, training s2 turns is continued, only W which is not 0 is updated, then W which is previously set to be 0 is released for updating, and training s1 turns is continued, and the steps are repeated until the training is finished. The method is also a method for inducing parameters, training and clipping are carried out, the values which are considered to be unimportant are clipped, and then important parameters which are mistakenly clipped are restored through a restore process.
In some embodiments, after the line detection model identifies the power transmission line image, a line detection result is output, when there is no abnormality in the image, the line detection result is a normal result, and at this time, the output image is the power transmission line image without a label, when there is an abnormal condition in the image, the line detection result is an abnormal result, and at this time, the output image is the power transmission line image labeled with abnormal information, where the abnormal information includes, but is not limited to, the presence of a foreign object on the line, the presence of an abnormal condition (e.g., a disaster such as fire, smoke, etc.) near the line, and the presence of an abnormality (e.g., a broken wire, etc.) in the line.
In some embodiments, when there is an abnormality on the line, directly sending out alarm information to prompt a worker, specifically, the sending out corresponding alarm information includes:
and outputting voice prompt information containing abnormal information according to the power transmission line image marked with the abnormal information.
In this embodiment, the staff is reminded to the mode that directly utilizes voice prompt, voice prompt's mode has the multiple, for example, when this transmission line inspection device contains the voice broadcast function, can directly utilize this transmission line inspection device output to contain the voice prompt information of abnormal information, of course, in order to avoid the staff can't in time receive information, can also send voice prompt information to interactive equipment through the network, utilize interactive equipment output to contain the voice prompt information of abnormal information, in order to reach effective suggestion staff's purpose. The interactive device may be a computer, a voice player, a mobile phone, or other intelligent devices with a voice conversion function.
Based on the foregoing method for inspecting a power transmission line, an embodiment of the present invention further provides a corresponding apparatus 400 for inspecting a power transmission line, and referring to fig. 2, the apparatus 400 for inspecting a power transmission line includes an image acquisition module 410, an image recognition module 420, and an alarm module 430.
The image acquisition module 410 is used for acquiring an image of the power transmission line shot by the acquisition equipment and preprocessing the image of the power transmission line;
the image recognition module 420 is configured to input the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result;
the alarm module 430 is configured to send out corresponding alarm information based on the line detection result.
In this embodiment, the transmission line image is acquired, the image is processed and then output to a fully trained line detection model to obtain a line detection result, and then corresponding alarm information is sent out based on the line detection result. The abnormity of the power transmission line can be directly identified through images, the inspection of the power transmission line is realized, the inspection efficiency and accuracy are increased, the labor intensity of workers is reduced, the potential safety hazard is avoided, the inspection blind area which cannot be reached by the workers can be inspected, and the inspection coverage rate is high.
In some embodiments, the image acquisition module is specifically configured to:
acquiring a power transmission line image shot by acquisition equipment;
and carrying out shielding cutting on the image of the power transmission line so as to divide a scene contained in the image of the power transmission line into a plurality of different spatial levels and cut off invisible scene parts.
In some embodiments, the transmission line inspection device further comprises a training module, and the training module is specifically used for:
acquiring a training set and constructing an initial training model, wherein the training set comprises a plurality of groups of power transmission line images and labeled images which correspond to the power transmission line images one by one;
and training the initial training model by adopting the training set to obtain a completely trained line detection model.
In some embodiments, the line detection model is a machine learning model or a deep learning model.
In some embodiments, the training module is further to: and carrying out sparsification treatment on the convolution kernel of the initial training model.
In some embodiments, the line detection result includes an abnormal result and a normal result, and the abnormal result is an image of the power transmission line marked with abnormal information.
In some embodiments, the sending out the corresponding alarm information includes:
and outputting voice prompt information containing abnormal information according to the power transmission line image marked with the abnormal information.
As shown in fig. 3, based on the power transmission line inspection method, the invention further provides an electronic device, which may be a mobile terminal, a desktop computer, a notebook, a palm computer, a server and other computing devices. The electronic device comprises a processor 10, a memory 20 and a display 30. Fig. 3 shows only some of the components of the electronic device, but it is to be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
The storage 20 may in some embodiments be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The memory 20 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device. Further, the memory 20 may also include both an internal storage unit and an external storage device of the electronic device. The memory 20 is used for storing application software installed in the electronic device and various data, such as program codes for installing the electronic device. The memory 20 may also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 20 stores a power transmission line inspection program 40, and the power transmission line inspection program 40 can be executed by the processor 10, so as to implement the power transmission line inspection method according to the embodiments of the present application.
The processor 10 may be a Central Processing Unit (CPU), a microprocessor or other data Processing chip in some embodiments, and is used to execute program codes stored in the memory 20 or process data, such as performing a power transmission line inspection method.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 30 is used for displaying information on the power transmission line inspection equipment and displaying a visual user interface. The components 10-30 of the electronic device communicate with each other via a system bus.
In an embodiment, when the processor 10 executes the power transmission line inspection program 40 in the memory 20, the steps in the power transmission line inspection method according to the above embodiments are implemented, and since the above detailed description of the power transmission line inspection method has been given, no further description is given here.
In summary, the method, the device, the equipment and the storage medium for power transmission line inspection provided by the invention obtain the power transmission line image, process the image and output the processed image to the well-trained line detection model to obtain the line detection result, and then send out the corresponding alarm information based on the line detection result. The abnormity of the power transmission line can be directly identified through images, the inspection of the power transmission line is realized, the inspection efficiency and accuracy are increased, the labor intensity of workers is reduced, the potential safety hazard is avoided, the inspection blind area which cannot be reached by the workers can be inspected, and the inspection coverage rate is high.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A power transmission line inspection method is characterized by comprising the following steps:
acquiring a power transmission line image shot by a collecting device, and preprocessing the power transmission line image;
inputting the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result;
and sending out corresponding alarm information based on the line detection result.
2. The power transmission line inspection method according to claim 1, wherein the acquiring of the power transmission line image shot by the acquisition device and the preprocessing of the power transmission line image comprise:
acquiring a power transmission line image shot by acquisition equipment;
and carrying out shielding cutting on the image of the power transmission line so as to divide a scene contained in the image of the power transmission line into a plurality of different spatial levels and cut off invisible scene parts.
3. The power transmission line inspection method according to claim 1, further comprising:
acquiring a training set and constructing an initial training model, wherein the training set comprises a plurality of groups of power transmission line images and labeled images which correspond to the power transmission line images one by one;
and training the initial training model by adopting the training set to obtain a completely-trained line detection model.
4. The power transmission line inspection method according to claim 1 or 3, wherein the line detection model is a machine learning model or a deep learning model.
5. The power transmission line inspection method according to claim 4, further comprising:
and carrying out sparsification treatment on the convolution kernel of the initial training model.
6. The power transmission line inspection method according to claim 1, wherein the line detection result includes an abnormal result and a normal result, and the abnormal result is a power transmission line image marked with abnormal information.
7. The power transmission line inspection method according to claim 6, wherein the sending of the corresponding alarm information includes:
and outputting voice prompt information containing abnormal information according to the power transmission line image marked with the abnormal information.
8. The utility model provides a transmission line inspection device which characterized in that includes:
the image acquisition module is used for acquiring the power transmission line image shot by the acquisition equipment and preprocessing the power transmission line image;
the image recognition module is used for inputting the preprocessed power transmission line image into a completely trained line detection model to obtain a line detection result;
and the alarm module is used for sending out corresponding alarm information based on the line detection result.
9. An electronic device, comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the power transmission line inspection method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to perform the steps of the power transmission line inspection method according to any one of claims 1 to 7.
CN202210334862.2A 2022-03-31 2022-03-31 Power transmission line inspection method, device, equipment and storage medium Pending CN114724268A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103260016A (en) * 2013-06-04 2013-08-21 成都思晗科技有限公司 Remote and intelligent line-tracking method of electric transmission line
KR101402738B1 (en) * 2012-12-24 2014-06-03 한국과학기술연구원 Inspection method and apparatus for detection of line abnormality based on image and system using the method
CN110580475A (en) * 2019-11-12 2019-12-17 江西博微新技术有限公司 line diagnosis method based on unmanned aerial vehicle inspection, electronic device and storage medium
CN110689531A (en) * 2019-09-23 2020-01-14 云南电网有限责任公司电力科学研究院 Automatic power transmission line machine inspection image defect identification method based on yolo
CN112581445A (en) * 2020-12-15 2021-03-30 中国电力科学研究院有限公司 Detection method and device for bolt of power transmission line, storage medium and electronic equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101402738B1 (en) * 2012-12-24 2014-06-03 한국과학기술연구원 Inspection method and apparatus for detection of line abnormality based on image and system using the method
CN103260016A (en) * 2013-06-04 2013-08-21 成都思晗科技有限公司 Remote and intelligent line-tracking method of electric transmission line
CN110689531A (en) * 2019-09-23 2020-01-14 云南电网有限责任公司电力科学研究院 Automatic power transmission line machine inspection image defect identification method based on yolo
CN110580475A (en) * 2019-11-12 2019-12-17 江西博微新技术有限公司 line diagnosis method based on unmanned aerial vehicle inspection, electronic device and storage medium
CN112581445A (en) * 2020-12-15 2021-03-30 中国电力科学研究院有限公司 Detection method and device for bolt of power transmission line, storage medium and electronic equipment

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