CN110288578A - A kind of power equipments defect infrared image recognizing system of high discrimination - Google Patents
A kind of power equipments defect infrared image recognizing system of high discrimination Download PDFInfo
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- CN110288578A CN110288578A CN201910549163.8A CN201910549163A CN110288578A CN 110288578 A CN110288578 A CN 110288578A CN 201910549163 A CN201910549163 A CN 201910549163A CN 110288578 A CN110288578 A CN 110288578A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
Abstract
The present invention relates to a kind of power equipments defect infrared image recognizing system of high discrimination, including sequentially connected infrared imaging shooting module, visible light identification module and infrared image identification module, the infrared imaging shooting modules；The image information of acquisition is passed to the visible light identification module by the infrared imaging shooting module, and the visible light identification module completes that recognition result is passed to the infrared image identification module progress infrared image identification after visible images identify.Compared with prior art, the present invention identifies the power equipment infrared image for searching corresponding position by visible images, can greatly improve the accuracy rate of infrared image identification, reaches the requirement of power equipments defect infrared image diagnosis.
Description
Technical field
The present invention relates to power equipments defect infrared image identification technologies, set more particularly, to a kind of electric power of high discrimination
Standby defect infrared image recognizing system.
Background technique
Power equipment safety stable operation is to ensure that the key element of electric system reliable power supply in substation.It is chronically at
The power equipment of charging operation state is possible to all kinds of failures occur, and all kinds of common forms of expression of failure are unit exception hair
Heat.Therefore, carry out the diagnosis of power equipment state of temperature, find power equipment abnormal heating defect as early as possible and take measures, to true
It is significant to protect power network safety operation.
Infrared thermal imaging technique quickly, in real time can find the most of of charging operation power equipment using contact means
Overheating defect, prevent power equipment damage and due to caused by these equipment damages electric grid large area power cut accident occur,
Through becoming the current most important detection means of power equipment thermal defect.
It is currently based on infrared imaging and technical solution used by thermal defect diagnoses is carried out to power equipment are as follows: by remotely regarding
The mode that frequency monitoring, artificial scene inspection or crusing robot are maked an inspection tour uses the infrared of thermal infrared imager acquisition power equipment
Image, the power equipment in manual identified infrared image, determines the power equipment using the matched analysis software of thermal infrared imager
Relevant temperature information needed for defect dipoles passes through DL/T 664-2016 " charging equipment infrared diagnostics application specification " or " state
Family grid company power transformation detection management provide (tentative) the 1st fascicle IR thermal imaging inspection detailed rules and regulations " in standard judge that the electric power is set
It is standby to whether there is thermal defect.
The main deficiency of current power equipments defect infrared image diagnostic techniques scheme is by manually carrying out power equipment
The identification of defect infrared image, manual operation low efficiency and large labor intensity, profile, experience highly dependent upon operator
Deng, in the case where a large amount of infrared datas be easy erroneous judgement, therefore, it is necessary to research and develop power equipments defect infrared image detect automatically and
Know method for distinguishing.
Application No. is 201810199434.7 invention, to be related to a kind of power equipment infrared image based on deep learning more
Object localization method, comprising steps of 1) obtaining standardized power equipment infrared image by substation equipment detection device；2)
Power equipment infrared image sample database is established, training set, verifying collection and test set are extracted；3) FASTER-RCNN depth mesh is established
Mark detection neural network, using sample database training set to the FASTER-RCNN depth targets established detect neural network into
Row training, and the over-fitting degree by verifying the set pair analysis model is verified；4) network model established using training, to test
The infrared image of concentration carries out multi-targets recognition and positioning, and generates recognition result.The present invention is using deep learning algorithm to defeated
Entering infrared image progress depth characteristic excavation can effectively and accurately identify simultaneously independent of manual extraction characteristic parameter
The region and position of all kinds of electrical power mains equipment are positioned, to a certain extent, reduce manual labor amount.
Application No. is 201811388763.2 inventions to be related to a kind of infrared image processing side for transmission line faultlocating
Method and device, wherein method includes: the infrared image for obtaining transmission line faultlocating scene；Infrared image is pre-processed, it is raw
At pretreated infrared image；Temperature field dividing processing is carried out to pretreated infrared image, extracts corresponding temperature field
Data；Corresponding Characteristics of Temperature Field is extracted according to temperature field data.It is provided in an embodiment of the present invention for transmission line faultlocating
Infrared Image Processing Method and device carry out pretreatment by the infrared image to transmission line of electricity and Characteristics of Temperature Field are extracted, real
Show the automatic detection and identification to infrared image, is conducive to provide the working efficiency of electric inspection process.
Application No. is 201710726998.7 inventions to be related to a kind of power equipment thermal fault detection method, system and electronics
Equipment.The described method includes: the infrared image of acquisition power equipment, constructs convolutional neural networks model according to infrared image；It will
Infrared image to be detected inputs the convolutional neural networks model, identifies infrared figure by the convolutional neural networks model
Temperature scale and power equipment as in；It is raw according to the rgb value of the temperature scale pixel identified and temperature scale bound
At rgb value and temperature referring to table, and extract the rgb value of identified power equipment, by the rgb value of extraction and the rgb value with
Temperature is compared referring to the rgb value in table, obtains the temperature results of identified power equipment；It is diagnosed and is marked according to network system
Standard diagnoses temperature results, judges whether the power equipment thermal fault occurs.The present invention passes through convolutional neural networks model
Efficiently, it accurately identifies power equipment, temperature is accurately read by rgb value, promote the intelligent level of network system.
It is related to the power fault detection early warning system based on infared spectrum technology application No. is 201710726998.7 invention
System, including sequentially connected identification module, analysis module and diagnosis display module, the identification module includes Image Acquisition client
The processing circuit of end and its connection, the analysis module includes the communication unit of image intelligent analytical unit and its connection, described
Diagnosis display module includes prewarning unit, display unit, and the processing circuit connects described image intellectual analysis unit, described logical
Believe that unit connects the diagnosis display module, described image acquires client and acquires infrared data, and combines in a manner of visible light
The facility information of acquisition is sent into the analysis module after processing and forms equipment automatic image annotation model.The present invention by pair
The identification of power equipment infared spectrum, and then identification mark is carried out to equipment, establish bi-directional device type marking model, realization pair
The fault diagnosis of power equipment.
The angle that patent text disclosed above is mainly identified from infrared image is carried out power equipments defect infrared image and is examined
It is disconnected, but infrared image contrast and clarity are poor, the details comprising power equipment is less, it is easy by external environmental interference,
Cause power equipment infrared image discrimination very low, is unable to reach the requirement of recognition accuracy in practical application.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of electricity of high discrimination
Power equipment deficiency infrared image recognizing system identifies the power equipment infrared image for searching corresponding position by visible images,
The accuracy rate that infrared image identification can be greatly improved reaches the requirement of power equipments defect infrared image diagnosis.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of power equipments defect infrared image recognizing system of high discrimination, including the shooting of sequentially connected infrared imaging
Module, visible light identification module and infrared image identification module, the infrared imaging shooting module；
The image information of acquisition is passed to the visible light identification module, the visible light by the infrared imaging shooting module
Identification module completes that recognition result is passed to the infrared image identification module progress infrared image knowledge after visible images identify
Not.
Preferably, the infrared imaging shooting module includes sequentially connected Image Acquisition end and data transmission module, institute
It states data transmission module and the image information that described image collection terminal obtains is passed to the visible light identification module.
Preferably, described image collection terminal includes the infrared thermal imager of infrared thermal imagery sensor and visible light sensor,
The infrared thermal imager is the infrared thermal imager of hand-held, monitoring remote video formula or crusing robot photo taking type.
Preferably, the data transmission module is USB connecting line, Wifi, mobile communication 4G or 5G wireless transmission.
Preferably, the visible light identification module includes hardware device and the visible optical depth that is deployed on hardware device
Image recognition model is practised, the infrared image identification module includes that hardware device and the infrared image being deployed on hardware device are fixed
Bit model；The visible light identification module and the infrared image identification module use same hardware device.
Preferably, the hardware device is mobile GPU processor or network server.
Preferably, the visible light deep learning image recognition model is preparatory using the visible radiograph of magnanimity power equipment
Trained deep learning image recognition model.
Preferably, state deep learning image recognition model using R-CNN, Fast R-CNN, Faster R-CNN, YOLO,
SSD or Mask R-CNN algorithm.
Preferably, the infrared image location model be to provide visible light in described image collection terminal, infrared image melts
The location model that processing software secondary development obtains is closed, by visible light recognition result, the power equipment for searching corresponding position is red
Outer image.
Compared with prior art, the present invention identifies the infrared figure of power equipment for searching corresponding position by visible images
Picture can greatly improve the accuracy rate of infrared image identification, reach the requirement of power equipments defect infrared image diagnosis.
Detailed description of the invention
Fig. 1 is structure flow chart of the invention.
Fig. 2 is visible light deep learning image recognition model training mark figure during the present invention is implemented.
Fig. 3 is visible light identification module result of implementation figure of the present invention.
Fig. 4 is infrared image identification module result of implementation figure of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is a part of the embodiments of the present invention, rather than whole embodiments.Based on this hair
Embodiment in bright, those of ordinary skill in the art's every other reality obtained without making creative work
Example is applied, all should belong to the scope of protection of the invention.
As shown in Figure 1, a kind of method for improving power equipments defect infrared image discrimination, including it is sequentially connected infrared
It includes that image is adopted that shooting module, visible light identification module and infrared image identification module, the infrared imaging shooting module, which is imaged,
Collect end and data transmission module, the visible light identification module includes hardware device and the visible optical depth that is deployed on hardware device
Degree study image recognition model, the infrared image identification module includes hardware device and the infrared figure that is deployed on hardware device
As location model, the visible light identification module and the infrared image identification module use same hardware device.The data
The image information that described image collection terminal obtains is passed to the visible light identification module by transmission module, and the visible light identifies mould
Block completes that recognition result is passed to the infrared image identification module progress infrared image identification after visible images identify.
Described image collection terminal is the infrared thermal imager for including infrared thermal imagery sensor and visible light sensor, be can be
Hand-held, monitoring remote video formula, the infrared thermal imager of crusing robot photo taking type.
The data transmission module can be USB connecting line, Wifi, mobile communication 4G or 5G wireless transmission form.
The hardware device can be mobile GPU processor or network server.
The visible light deep learning image recognition model is trained in advance using the visible radiograph of magnanimity power equipment
Deep learning image recognition model, deep learning image recognition model here can use but be not limited to R-CNN, Fast
R-CNN, Faster R-CNN, YOLO, SSD, Mask R-CNN algorithm.
The infrared image location model is soft based on described image collection terminal offer visible light, infrared image fusion treatment
The location model that part secondary development obtains searches the power equipment infrared image of corresponding position by visible light recognition result.
It is of the invention that detailed process is as follows:
Step 1 completes the mark of the visible radiograph of 50,000 power equipments using the Labelme software based on Python,
Indicate power equipment type in visible radiograph, as shown in Fig. 2, TA is current transformer in figure, QF is breaker, and JYZ is exhausted
Edge.
Step 2 passes through MaskR- using the annotation results for the visible radiograph of 50,000 power equipments that step 1 obtains
CNN algorithm trains visible light deep learning image recognition model, and verifying model recognition accuracy reaches 90% or more.
Step 3 selects the hand-held infrared thermal imager T640 of Flir company as Image Acquisition end, has infrared heat
As sensor and visible light sensor, primary shooting can obtain infrared image and visible images simultaneously.
Step 4, the visible light provided based on Flir company, infrared image fusion treatment software secondary development interface, exploitation
The corresponding infrared image location model of visible light picture out.
Step 5, it will be seen that optical depth study image recognition model and infrared image location model are deployed in network server
On.
Power equipment is taken on site using hand-held infrared thermal imager T640 in step 6.
Step 7, the image information that power equipment is taken on site are wirelessly transmitted on network server by mobile communication 4G
Visible light deep learning image recognition model.
Step 8, it is seen that optical depth learns the identification of image recognition model and is taken on site in the visible radiograph of power equipment
Device type.And recognition result is passed to infrared image location model, as shown in figure 3, TA is current transformer in figure, TV is electricity
Mutual inductor is pressed, JYZ is insulator, and L is reactor.
Step 9, infrared image location model search the corresponding position of visible light photo array result, and read corresponding area
The temperature in domain, as shown in figure 4, TA is current transformer in figure, TV is voltage transformer, and JYZ is insulator, and L is reactor, if
Number after standby title means that current transformer region maximum temperature is such as TA1 30.4 for equipment region highest point temperature
30.4℃。
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (9)
1. a kind of power equipments defect infrared image recognizing system of high discrimination, which is characterized in that including sequentially connected red
Outer imaging shooting module, visible light identification module and infrared image identification module, the infrared imaging shooting module；
The image information of acquisition is passed to the visible light identification module, the visible light identification by the infrared imaging shooting module
Module completes that recognition result is passed to the infrared image identification module progress infrared image identification after visible images identify.
2. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 1, feature exist
In the infrared imaging shooting module includes sequentially connected Image Acquisition end and data transmission module, and the data transmit mould
The image information that described image collection terminal obtains is passed to the visible light identification module by block.
3. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 2, feature exist
In described image collection terminal includes the infrared thermal imager of infrared thermal imagery sensor and visible light sensor, the infrared thermal imaging
Instrument is the infrared thermal imager of hand-held, monitoring remote video formula or crusing robot photo taking type.
4. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 2, feature exist
In the data transmission module is USB connecting line, Wifi, mobile communication 4G or 5G wireless transmission.
5. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 1, feature exist
In the visible light identification module includes hardware device and the visible light deep learning image recognition mould being deployed on hardware device
Type, the infrared image identification module include hardware device and the infrared image location model being deployed on hardware device；It is described
Visible light identification module and the infrared image identification module use same hardware device.
6. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 5, feature exist
In the hardware device is mobile GPU processor or network server.
7. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 5, feature exist
In the visible light deep learning image recognition model is to use the visible radiograph of magnanimity power equipment trained depth in advance
Learn image recognition model.
8. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 7, feature exist
In the deep learning image recognition model uses R-CNN, Fast R-CNN, Faster R-CNN, YOLO, SSD or Mask
R-CNN algorithm.
9. a kind of power equipments defect infrared image recognizing system of high discrimination according to claim 5, feature exist
In the infrared image location model is to provide visible light, infrared image fusion treatment software two in described image collection terminal
The secondary location model obtained of developing searches the power equipment infrared image of corresponding position by visible light recognition result.
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| CN111127445A (en) * | 2019-12-26 | 2020-05-08 | 智洋创新科技股份有限公司 | Distribution network line high-temperature area detection method and system based on deep learning |
| CN111523423A (en) * | 2020-04-15 | 2020-08-11 | 四川赛康智能科技股份有限公司 | Power equipment identification method and device |
| CN112734692A (en) * | 2020-12-17 | 2021-04-30 | 安徽继远软件有限公司 | Transformer equipment defect identification method and device |
| CN112819183A (en) * | 2021-01-29 | 2021-05-18 | 广州中科智巡科技有限公司 | Algorithm and system for intelligently distinguishing heating defects of power transmission and distribution line |
| CN113610874A (en) * | 2021-06-21 | 2021-11-05 | 福建睿思特科技股份有限公司 | AI deep learning-based multifunctional electric power image intelligent analysis device |
| CN113674271A (en) * | 2021-09-06 | 2021-11-19 | 广东康德威电气股份有限公司 | Transformer monitoring system based on cloud computing |
| WO2023092760A1 (en) * | 2021-11-29 | 2023-06-01 | 浙江天铂云科光电股份有限公司 | Diagnosis method and diagnosis apparatus based on thermal vision |
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