CN107977720A - A kind of earthing pole state analysis and abnormity early warning system - Google Patents
A kind of earthing pole state analysis and abnormity early warning system Download PDFInfo
- Publication number
- CN107977720A CN107977720A CN201711383732.3A CN201711383732A CN107977720A CN 107977720 A CN107977720 A CN 107977720A CN 201711383732 A CN201711383732 A CN 201711383732A CN 107977720 A CN107977720 A CN 107977720A
- Authority
- CN
- China
- Prior art keywords
- mrow
- data
- msub
- mtd
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 39
- 230000004927 fusion Effects 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 22
- 239000002689 soil Substances 0.000 claims abstract description 19
- 230000002159 abnormal effect Effects 0.000 claims abstract description 8
- 238000000605 extraction Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000012423 maintenance Methods 0.000 claims abstract description 6
- 238000013480 data collection Methods 0.000 claims abstract description 4
- 239000000284 extract Substances 0.000 claims abstract description 4
- 238000001914 filtration Methods 0.000 claims description 14
- 238000003708 edge detection Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 239000003086 colorant Substances 0.000 claims description 4
- 238000013499 data model Methods 0.000 claims description 4
- 230000009977 dual effect Effects 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- 230000001629 suppression Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 239000000523 sample Substances 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000007717 exclusion Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Abstract
The invention discloses a kind of earthing pole state analysis and abnormity early warning system, including temperature/humiditydetection detection system, including Temperature Humidity Sensor, and by Temperature Humidity Sensor, data collection and condition monitoring are carried out to the humiture of lower soil near earthing pole；Image processing system, including image capture module, image processing module, described image acquisition module are used to carry out terrestrial reference environment near earthing pole Image Acquisition, and image processing module carries out preliminary treatment to image, extracts the characteristic in image；Data fusion and abnormity early warning system, are analyzed for combining the data of temperature/humiditydetection detection system collection and the data of image processing module extraction, early warning prompting are carried out in the case of danger is likely to occur and provides maintenance suggestion for abnormal.
Description
Technical field
The present invention is more particularly directed to a kind of earthing pole state analysis and abnormity early warning system.
Background technology
Some current-carrying parts of electric device, facility in electric system, earthing pole, earthing pole are connected to by ground wire
It is more to be located in the special weathers such as plateau mountain area, thunderstorm gale.
It is high by external force failure probability since earthing pole equipment is for a long time without voltage, cause earthing pole failure rate higher, overhaul
People finder's failure is time-consuming and laborious, has seriously affected the reliability of power supply.Meanwhile inspection environment is severe, especially to detecting well
Heavy workload is inspected periodically with filter well, if situations such as earthing pole earth's surface is dried, and soil is dried-up cannot be found in time, note in time
Water, allows the soil restoration humidity of arid to seriously affect earthing pole reliability.Therefore this project studies a set of remote ground pole fortune
Row operating mode On line inspection system, passes through humiture probe and image processing data comprehensive descision earthing pole periphery the earth soil conductivity
Characteristic, helps operation maintenance personnel to search arid point, waterlogging point rapidly, shortens trouble shooting time, improves work efficiency.
There are following limitation for the universal various detecting systems applied at present：1) there are instrument zero drift for electrochemical process
Move, the limitation that stability of instrument is poor, response component is few；2) infra-red sepectrometry presence interferes with each other, detection sensitivity is difficult to meet
The limitation of Hidden fault gas detection；3) sensitivity of gas chromatography thermal conductivity detector (TCD) is not high, and flame degree detector response is non-
Linearly, it is few to respond component.
The content of the invention
The object of the invention is intended to mainly solve the problems, such as that the danger of present remote mountain areas earthing pole manual patrol takes, there is provided
A kind of system of fast and safely remote auto detection earthing pole state, gather respectively earth's surface view data near earthing pole and
The data of the Temperature and Humidity module of lower soil is modeled, come judge earthing pole whether operation irregularity and with the presence or absence of security risk.
To realize above-mentioned technical purpose, the technical solution adopted by the present invention is as follows：
A kind of earthing pole state analysis and abnormity early warning system, it is characterised in that including：
Temperature/humiditydetection detection system, including Temperature Humidity Sensor, by Temperature Humidity Sensor, to lower soil near earthing pole
Humiture carry out data collection and condition monitoring；
Image processing system, including image capture module, image processing module, described image acquisition module are used for ground connection
Extremely nearby terrestrial reference environment carries out Image Acquisition, and image processing module carries out preliminary treatment to image, extracts the characteristic in image
According to；
Data fusion and abnormity early warning system, for combining data and the image processing module that temperature/humiditydetection detection system is collected
The data of extraction are analyzed, and early warning prompting is carried out in the case of danger is likely to occur and provides maintenance suggestion for abnormal.
As one kind of a kind of earthing pole state analysis and abnormity early warning system preferably, the data fusion and abnormity early warning
System includes noise processed module, and the noise processed module is to the characteristic extracted in the data of the Temperature and Humidity module of collection, image
Carry out denoising and standardization.
As a kind of earthing pole state analysis and the another kind of abnormity early warning system preferably, the data fusion and exception are pre-
Alert system further includes communication subsystem, data fusion analyzing subsystem, storage subsystem, abnormity early warning system, the communicator
System is used to data of the Temperature and Humidity module, image, characteristic being transferred in data fusion and abnormity early warning system；The data fusion
Analyzing subsystem, the earthing pole institute gathered for the characteristic after image processing module is handled and by Temperature Humidity Sensor
It is modeled in the data of the Temperature and Humidity module of soil, records the data model under normal condition；The storage subsystem is used to store institute
There are data；The abnormity early warning system, the model passed through to the real time data collected in data fusion analyzing subsystem carry out
Calculate, limited when the statistic of detection data exceedes control, then the data sample at the moment is failure, when fault data adds up to reach
During to certain numerical value, that is, show that system breaks down, it is necessary to which staff finds out situation, exclusion dangerous situation in time.
Preferred as another of a kind of earthing pole state analysis and abnormity early warning system, the feature extraction in image is logical
Cross the colour recognition of image is docked circumpolar pond, wetland, it is dry be detected and calculate, and calculated by edge detection
Method calculates the area in each region, so as to obtain distance of the earthing pole apart from each region.
Preferred, the place of described image processing module as another of a kind of earthing pole state analysis and abnormity early warning system
Reason process includes：
First, the rgb space of RGB color image image capture module collected is converted to HSV space data, and makes
Different colours identification is carried out with HSV space image, is used for preliminary wetland, the water for judging earth's surface by earth's surface color different conditions
Pond and nonirrigated farmland position, its image space conversion formula are as follows：
V=max；
Secondly, edge detection is carried out using Canny algorithms to collection image, solves what previous step was arrived by color detection
The step of border in each region, wherein Canny edge detection algorithms is：
With Gaussian filter smoothed image,
The amplitude of gradient and direction are calculated with the finite difference of single order local derviation,
Non-maxima suppression is carried out to gradient magnitude,
Edge is detected and connected with dual threashold value-based algorithm；
Finally, the true spatial location where earthing pole is transformed into image space coordinate system, distinguished in image space
All earthing poles are calculated and drawn, and pixel distance of the earthing pole with each zone boundary is calculated in image space, then by image
Space length is converted to real space, thus primary Calculation go out earthing pole to each pond, soil is dried-up, arid lands and wetland
Distance.
Preferred, the denoising in noise processed module as another of a kind of earthing pole state analysis and abnormity early warning system
Processing procedure is：Medium filtering and average are carried out successively to the range data after data of the Temperature and Humidity module or image processing module processing
Filtering, for removing noise spot and abnormal point, generates the data of plateau, wherein medium filtering (1) and mean filter (2) is public
Formula is as follows：
Wherein xa、xbAnd xcRespectively initial data, median-filtered result and mean filter are as a result, mb、mcRespectively intermediate value
Filtering and the window size of mean filter, i is data sequence number.
Preferred, the noise processed mould standard in the block as another of a kind of earthing pole state analysis and abnormity early warning system
Change is handled：Data normalization processing is carried out to filter result so that the average of each variable is 0, variance 1, for the later stage
Convenience of calculation, it is as follows that it normalizes formula (3)：
Wherein, μ, σ are respectively xcAverage and standard deviation.
Beneficial effects of the present invention：
The present invention can gather the environmental change with monitoring grounding polar region table and lower soil, pass through the environment to earthing pole
Data carry out system modelling, and system can remotely understand the soil regime of remote mountain areas, equipment security protection state, earthing pole in real time
Working status, and then the potential danger for being likely to occur gives warning in advance, and provide maintenance and suggest；Needed with tradition artificial
Periodically earthing pole operating mode inspection is compared, system can it is safe and efficient and more fully obtain earthing pole environmental information, at the same time
Environmental change can be monitored in real time and carry out early warning；Invention introduces automatic monitoring alarm system, can merge multinomial monitoring number
According to real time on-line monitoring and positioning both ground pole operating mode, realize the integrated management to exception and failure.
Brief description of the drawings
The present invention can be further illustrated by the nonlimiting examples that attached drawing provides；
Fig. 1 is a kind of earthing pole state analysis of the present invention and the structure diagram of abnormity early warning system；
Fig. 2 is the flow chart of data processing figure of the present invention.
Embodiment
In order to make those skilled in the art that the present invention may be better understood, with reference to the accompanying drawings and examples to this hair
Bright technical solution further illustrates.
As shown in Figure 1 and Figure 2, a kind of earthing pole state analysis and abnormity early warning system, including：
Temperature/humiditydetection detection system, including Temperature Humidity Sensor, by Temperature Humidity Sensor, to lower soil near earthing pole
Humiture carry out data collection and condition monitoring；
Image processing system, including image capture module, image processing module, described image acquisition module are used for ground connection
Extremely nearby terrestrial reference environment carries out Image Acquisition, and image processing module carries out preliminary treatment to image, extracts the characteristic in image
According to；
Data fusion and abnormity early warning system, for combining data and the image processing module that temperature/humiditydetection detection system is collected
The data of extraction are analyzed, and early warning prompting is carried out in the case of danger is likely to occur and provides maintenance suggestion for abnormal.
The data fusion and abnormity early warning system include noise processed module, temperature of the noise processed module to collection
The characteristic extracted in humidity data, image carries out denoising and standardization.
The data fusion and abnormity early warning system further include communication subsystem, data fusion analyzing subsystem, storage
System, abnormity early warning system, the communication subsystem are used to data of the Temperature and Humidity module, image, characteristic being transferred to data fusion
And in abnormity early warning system；The data fusion analyzing subsystem, for the characteristic after image processing module is handled and
The data of the Temperature and Humidity module of soil is modeled where the earthing pole gathered by Temperature Humidity Sensor, records the data under normal condition
Model；The storage subsystem is used to store all data；The abnormity early warning system, passes through number to the real time data collected
Calculated, limited when the statistic of detection data exceedes control, then the data at the moment according to the model in convergence analysis subsystem
Sample is failure, when fault data has reached certain numerical value, that is, shows that system breaks down, it is necessary to which staff is timely
Find out situation, exclude dangerous situation.
Feature extraction in image be by the colour recognition of image is docked circumpolar pond, wetland, it is dry into
Row is detected and calculated, and the area in each region is calculated by edge detection algorithm, so as to obtain earthing pole apart from each region
Distance.
The processing procedure of described image processing module includes：
First, the rgb space of RGB color image image capture module collected is converted to HSV space data, and makes
Different colours identification is carried out with HSV space image, is used for preliminary wetland, the water for judging earth's surface by earth's surface color different conditions
Pond and nonirrigated farmland position, its image space conversion formula are as follows：
V=max；
Secondly, edge detection is carried out using Canny algorithms to collection image, solves what previous step was arrived by color detection
The step of border in each region, wherein Canny edge detection algorithms is：
With Gaussian filter smoothed image,
The amplitude of gradient and direction are calculated with the finite difference of single order local derviation,
Non-maxima suppression is carried out to gradient magnitude,
Edge is detected and connected with dual threashold value-based algorithm；
Finally, the true spatial location where earthing pole is transformed into image space coordinate system, distinguished in image space
All earthing poles are calculated and drawn, and pixel distance of the earthing pole with each zone boundary is calculated in image space, then by image
Space length is converted to real space, thus primary Calculation go out earthing pole to each pond, soil is dried-up, arid lands and wetland
Distance.
Denoising disposal process is in noise processed module：To data of the Temperature and Humidity module or image processing module processing after away from
Medium filtering and mean filter are carried out successively from data, for removing noise spot and abnormal point, generate the data of plateau, its
Middle medium filtering (1) and mean filter (2) formula are as follows：
Wherein xa、xbAnd xcRespectively initial data, median-filtered result and mean filter are as a result, mb、mcRespectively intermediate value
Filtering and the window size of mean filter, i is data sequence number.
The standardization in the block of noise processed mould is：Data normalization processing is carried out to filter result so that Mei Gebian
The average of amount is 0, variance 1, and for later stage convenience of calculation, it is as follows that it normalizes formula (3)：
Wherein, μ, σ are respectively xcAverage and standard deviation.
The operation principle of the present invention is carried out remembering explanation with reference to attached Fig. 1 and 2：
The first step, is inserted into earthing pole institute soil horizon nearby by Temperature Humidity Sensor, passes through the wireless communications mode of GPRS
By the data transfer of collection to data fusion and abnormity early warning system, data fusion and abnormity early warning system by get everybody
Put and corresponding humiture numerical value carries out storage backup, preparation is provided for further data processing；
Second step, during the humiture initial data gathered to temperature/humiditydetection detection system is carried out successively by noise processed module
Value filtering and mean filter, for removing noise spot and abnormal point, generate the data of plateau, wherein medium filtering (1) and
Mean filter (2) formula is as follows：
Wherein xa、xbAnd xcRespectively initial data, median-filtered result and mean filter are as a result, mb、mcRespectively intermediate value
Filtering and the window size of mean filter, i is data sequence number.
3rd step, then carries out data normalization processing to filter result so that the average of each variable is 0, and variance is
1, for later stage convenience of calculation, it is as follows that it normalizes formula (3)：
Wherein, μ, σ are respectively xcAverage and standard deviation.
4th step, the RGB color image of earth's surface near earthing pole, image procossing are gathered by image capture module from a high position
Rgb space is converted to HSV space data by module, and carries out different colours identification using HSV space image, passes through earth's surface color
Different conditions are used for preliminary wetland, pond and the nonirrigated farmland position for judging earth's surface, its image space conversion formula (4) is as follows：
V=max (4)
5th step, carries out edge detection using Canny algorithms to image by image processing module, solves previous step and lead to
The step of border, wherein Canny edge detection algorithms for crossing each region that color detection arrives is：
1. use Gaussian filter smoothed image；
2. calculate the amplitude of gradient and direction with the finite difference of single order local derviation；
3. pair gradient magnitude carries out non-maxima suppression；
4. with the detection of dual threashold value-based algorithm and connection edge.
6th step, is transformed into image space coordinate system by the true spatial location where earthing pole, divides in image space
All earthing poles are not calculated and drawn, and calculate pixel distance of the earthing pole with each zone boundary in image space, then will figure
Image space distance is converted to real space, thus primary Calculation go out earthing pole to each pond, soil is dried-up, arid lands and wetland
Distance, and the filtering process of second step is carried out to the distance of solution.
7th step, by the environmental data of the earthing pole of Image Acquisition and passes through temperature respectively by data fusion analyzing subsystem
The data of the Temperature and Humidity module of soil is modeled where the earthing pole of humidity sensor collection, records the data model under normal condition.
8th step, in order to realize abnormity early warning, the real time data collected is calculated by the model of computer, when
The statistic for detecting data exceedes control limit, then the data sample at the moment is failure, when fault data has reached necessarily
During numerical value, that is, show that system breaks down, it is necessary to which staff finds out situation, exclusion dangerous situation in time.
9th step, early warning of the invention are made of following two parts：Normal condition data model, real-time online Data Detection
Contrast.Two processes are on the basis of the multivariable information of normal historical data and test data, are carried out using statistic
Preferably detection.
A kind of earthing pole state analysis provided by the invention and abnormity early warning system are described in detail above.Specifically
The explanation of embodiment is only intended to help the method and its core concept for understanding the present invention.It should be pointed out that for the art
Those of ordinary skill for, without departing from the principle of the present invention, can also to the present invention carry out it is some improvement and repair
Decorations, these are improved and modification is also fallen into the protection domain of the claims in the present invention.
Claims (7)
1. a kind of earthing pole state analysis and abnormity early warning system, it is characterised in that including：
Temperature/humiditydetection detection system, including Temperature Humidity Sensor, by Temperature Humidity Sensor, to the temperature of lower soil near earthing pole
Humidity carries out data collection and condition monitoring；
Image processing system, including image capture module, image processing module, described image acquisition module are used for attached to earthing pole
Near-earth mark environment carries out Image Acquisition, and image processing module carries out preliminary treatment to image, extracts the characteristic in image；
Data fusion and abnormity early warning system, for combining data and the image processing module extraction that temperature/humiditydetection detection system is collected
Data analyzed, early warning prompting is carried out in the case of danger is likely to occur and provides maintenance suggestion for abnormal.
2. a kind of earthing pole state analysis according to claim 1 and abnormity early warning system, it is characterised in that the data
Fusion and abnormity early warning system include noise processed module, and the noise processed module is in the data of the Temperature and Humidity module of collection, image
The characteristic of extraction carries out denoising and standardization.
3. a kind of earthing pole state analysis according to claim 2 and abnormity early warning system, it is characterised in that the data
Fusion and abnormity early warning system further include communication subsystem, data fusion analyzing subsystem, storage subsystem, abnormity early warning system
System, the communication subsystem are used to data of the Temperature and Humidity module, image, characteristic being transferred to data fusion and abnormity early warning system
In；The data fusion analyzing subsystem, for the characteristic after image processing module is handled and passes through temperature and humidity sensing
The data of the Temperature and Humidity module of soil is modeled where the earthing pole of device collection, records the data model under normal condition；The storage
Subsystem is used to store all data；The abnormity early warning system, son is analyzed to the real time data collected by data fusion
Model in system is calculated, and is limited when the statistic of detection data exceedes control, then the data sample at the moment is failure,
When fault data has reached certain numerical value, that is, show that system breaks down, it is necessary to staff finds out situation in time, exclude
Dangerous situation.
4. a kind of earthing pole state analysis according to claim 3 and abnormity early warning system, it is characterised in that in image
Feature extraction be by the colour recognition of image is docked circumpolar pond, wetland, it is dry be detected and calculate, and lead to
Cross edge detection algorithm and calculate the area in each region, so as to obtain distance of the earthing pole apart from each region.
5. a kind of earthing pole state analysis according to claim 4 and abnormity early warning system, it is characterised in that described image
The processing procedure of processing module includes：
First, the rgb space of RGB color image image capture module collected is converted to HSV space data, and uses
HSV space image carries out different colours identification, by earth's surface color different conditions be used for the preliminary wetland for judging earth's surface, pond and
Nonirrigated farmland position, its image space conversion formula are as follows：
<mrow>
<mi>h</mi>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mn>0</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mi>min</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>60</mn>
<mo>&times;</mo>
<mfrac>
<mrow>
<mi>g</mi>
<mo>-</mo>
<mi>b</mi>
</mrow>
<mrow>
<mi>max</mi>
<mo>-</mo>
<mi>min</mi>
</mrow>
</mfrac>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mi>r</mi>
<mi> </mi>
<mi>max</mi>
<mi> </mi>
<mi>g</mi>
<mo>&GreaterEqual;</mo>
<mi>b</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>60</mn>
<mo>&times;</mo>
<mfrac>
<mrow>
<mi>g</mi>
<mo>-</mo>
<mi>b</mi>
</mrow>
<mrow>
<mi>max</mi>
<mo>-</mo>
<mi>min</mi>
</mrow>
</mfrac>
<mo>+</mo>
<mn>360</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mi>b</mi>
<mi> </mi>
<mi>a</mi>
<mi>n</mi>
<mi>d</mi>
<mi> </mi>
<mi>g</mi>
<mo><</mo>
<mi>b</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>60</mn>
<mo>&times;</mo>
<mfrac>
<mrow>
<mi>g</mi>
<mo>-</mo>
<mi>b</mi>
</mrow>
<mrow>
<mi>max</mi>
<mo>-</mo>
<mi>min</mi>
</mrow>
</mfrac>
<mo>+</mo>
<mn>120</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mi>b</mi>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>60</mn>
<mo>&times;</mo>
<mfrac>
<mrow>
<mi>g</mi>
<mo>-</mo>
<mi>b</mi>
</mrow>
<mrow>
<mi>max</mi>
<mo>-</mo>
<mi>min</mi>
</mrow>
</mfrac>
<mo>+</mo>
<mn>240</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mi>b</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
<mrow>
<mi>s</mi>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mn>0</mn>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>i</mi>
<mi>f</mi>
<mi> </mi>
<mi>max</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mfrac>
<mrow>
<mi>max</mi>
<mo>-</mo>
<mi>min</mi>
</mrow>
<mi>max</mi>
</mfrac>
<mo>=</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<mi>min</mi>
<mi>max</mi>
</mfrac>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>o</mi>
<mi>t</mi>
<mi>h</mi>
<mi>e</mi>
<mi>r</mi>
<mi>w</mi>
<mi>i</mi>
<mi>s</mi>
<mi>e</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
V=max；
Secondly, edge detection is carried out using Canny algorithms to collection image, solves each area that previous step is arrived by color detection
The step of border in domain, wherein Canny edge detection algorithms is：
With Gaussian filter smoothed image,
The amplitude of gradient and direction are calculated with the finite difference of single order local derviation,
Non-maxima suppression is carried out to gradient magnitude,
Edge is detected and connected with dual threashold value-based algorithm；
Finally, the true spatial location where earthing pole is transformed into image space coordinate system, calculated respectively in image space
With draw all earthing poles, and pixel distance of the earthing pole with each zone boundary is calculated in image space, then by image space
Distance is converted to real space, thus primary Calculation go out earthing pole to each pond, soil is dried-up, arid lands and wetland away from
From.
6. a kind of earthing pole state analysis according to claim 4 and abnormity early warning system, it is characterised in that noise processed
Denoising disposal process is in module：In being carried out successively to the range data after data of the Temperature and Humidity module or image processing module processing
Value filtering and mean filter, for removing noise spot and abnormal point, generate the data of plateau, wherein medium filtering (1) and
Mean filter (2) formula is as follows：
<mrow>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mi>b</mi>
</msub>
<mo>=</mo>
<mi>M</mi>
<mi>e</mi>
<mi>d</mi>
<mo>{</mo>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>-</mo>
<mi>v</mi>
<mo>)</mo>
</mrow>
<mi>a</mi>
</msub>
<mo>,</mo>
<mn>..</mn>
<mo>,</mo>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mi>a</mi>
</msub>
<mo>,</mo>
<mn>...</mn>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>a</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>}</mo>
<mo>,</mo>
<msub>
<mi>v</mi>
<mi>b</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>m</mi>
<mi>b</mi>
</msub>
<mo>-</mo>
<mn>1</mn>
</mrow>
<mn>2</mn>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mi>c</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>S</mi>
<mi>u</mi>
<mi>m</mi>
<mo>{</mo>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>-</mo>
<mi>v</mi>
<mo>)</mo>
</mrow>
<mi>b</mi>
</msub>
<mo>,</mo>
<mn>..</mn>
<mo>,</mo>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>b</mi>
<mi>i</mi>
</mrow>
</msub>
<mo>,</mo>
<mn>..</mn>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>+</mo>
<mi>v</mi>
<mo>)</mo>
</mrow>
<mi>b</mi>
</msub>
<mo>}</mo>
</mrow>
<msub>
<mi>m</mi>
<mi>c</mi>
</msub>
</mfrac>
<mo>,</mo>
<msub>
<mi>v</mi>
<mi>c</mi>
</msub>
<mo>=</mo>
<mrow>
<mo>(</mo>
<msub>
<mi>m</mi>
<mi>c</mi>
</msub>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mo>/</mo>
<mn>2</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein xa、xbAnd xcRespectively initial data, median-filtered result and mean filter are as a result, mb、mcRespectively medium filtering
With the window size of mean filter, i is data sequence number.
7. a kind of earthing pole state analysis according to claim 6 and abnormity early warning system, it is characterised in that noise processed
Mould standardization in the block is：Data normalization processing is carried out to filter result so that the average of each variable is 0, variance
For 1, for later stage convenience of calculation, it is as follows that it normalizes formula (3)：
<mrow>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mi>d</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>x</mi>
<msub>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mi>c</mi>
</msub>
<mo>-</mo>
<mi>&mu;</mi>
</mrow>
<mi>&sigma;</mi>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, μ, σ are respectively xcAverage and standard deviation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711383732.3A CN107977720A (en) | 2017-12-20 | 2017-12-20 | A kind of earthing pole state analysis and abnormity early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711383732.3A CN107977720A (en) | 2017-12-20 | 2017-12-20 | A kind of earthing pole state analysis and abnormity early warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107977720A true CN107977720A (en) | 2018-05-01 |
Family
ID=62006919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711383732.3A Pending CN107977720A (en) | 2017-12-20 | 2017-12-20 | A kind of earthing pole state analysis and abnormity early warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107977720A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095189A (en) * | 2021-04-01 | 2021-07-09 | 武汉一维路科技有限公司 | Machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of power system transformer substation |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020605A (en) * | 2012-12-28 | 2013-04-03 | 北方工业大学 | Bridge identification method based on decision-making layer fusion |
| CN103063143A (en) * | 2012-12-03 | 2013-04-24 | 苏州佳世达电通有限公司 | Measuring method and system based on image identification |
| CN203014486U (en) * | 2012-11-09 | 2013-06-19 | 国网电力科学研究院武汉南瑞有限责任公司 | Direct current earth electrode on-line monitoring system |
| CN103413441A (en) * | 2013-06-26 | 2013-11-27 | 广东惠利普路桥信息工程有限公司 | Road weather condition monitoring system and monitoring method |
| CN103686078A (en) * | 2013-12-04 | 2014-03-26 | 广东威创视讯科技股份有限公司 | Method and device for visually monitoring water surface |
| CN106225687A (en) * | 2016-09-06 | 2016-12-14 | 乐视控股（北京）有限公司 | The measuring method of dimension of object and device |
| CN106772641A (en) * | 2016-12-30 | 2017-05-31 | 北京师范大学 | The method of estimation average soil moisture and interlayer soil moisture content |
| CN107289858A (en) * | 2017-07-06 | 2017-10-24 | 广州市九州旗建筑科技有限公司 | The measurement apparatus and method of virtual ruler built in a kind of digital picture |
-
2017
- 2017-12-20 CN CN201711383732.3A patent/CN107977720A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203014486U (en) * | 2012-11-09 | 2013-06-19 | 国网电力科学研究院武汉南瑞有限责任公司 | Direct current earth electrode on-line monitoring system |
| CN103063143A (en) * | 2012-12-03 | 2013-04-24 | 苏州佳世达电通有限公司 | Measuring method and system based on image identification |
| CN103020605A (en) * | 2012-12-28 | 2013-04-03 | 北方工业大学 | Bridge identification method based on decision-making layer fusion |
| CN103413441A (en) * | 2013-06-26 | 2013-11-27 | 广东惠利普路桥信息工程有限公司 | Road weather condition monitoring system and monitoring method |
| CN103686078A (en) * | 2013-12-04 | 2014-03-26 | 广东威创视讯科技股份有限公司 | Method and device for visually monitoring water surface |
| CN106225687A (en) * | 2016-09-06 | 2016-12-14 | 乐视控股（北京）有限公司 | The measuring method of dimension of object and device |
| CN106772641A (en) * | 2016-12-30 | 2017-05-31 | 北京师范大学 | The method of estimation average soil moisture and interlayer soil moisture content |
| CN107289858A (en) * | 2017-07-06 | 2017-10-24 | 广州市九州旗建筑科技有限公司 | The measurement apparatus and method of virtual ruler built in a kind of digital picture |
Non-Patent Citations (1)
| Title |
|---|
| 廖广军编著: "《公安数字影像处理与分析》", 北京邮电大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095189A (en) * | 2021-04-01 | 2021-07-09 | 武汉一维路科技有限公司 | Machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of power system transformer substation |
| CN113095189B (en) * | 2021-04-01 | 2022-01-14 | 广东履安实业有限公司 | Machine vision and data analysis-based intelligent monitoring and management system for operating environment safety of power system transformer substation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2022077605A1 (en) | Wind turbine blade image-based damage detection and localization method | |
| CN102722166B (en) | Intelligent vision detection system and state detection method of transformer substation device | |
| CN109800697B (en) | Transformer target detection and appearance defect identification method based on VGG-net style migration | |
| CN105654461B (en) | A kind of machine vision detection method of multiple fission conductor conductor spacer fracture | |
| CN108957240A (en) | Electric network fault is remotely located method and system | |
| CN111342391B (en) | Power transmission line insulator and line fault inspection method and inspection system | |
| CN104994334A (en) | Automatic substation monitoring method based on real-time video | |
| CN102446390A (en) | Method and system for safety detection and early warning of monitoring areas near power transmission lines | |
| CN103901314B (en) | Electrical transformer cores are grounded on-Line Monitor Device and its on-line monitoring method | |
| CN104253482A (en) | Image data base and inspection robot-based equipment trouble detection method | |
| CN203241494U (en) | Direct current system AC series current fault and insulation fault monitoring line-selection apparatus | |
| CN104077872A (en) | Anti-external force monitoring early warning method of electric transmission line based on image recognition | |
| CN109740507A (en) | A kind of method of transformer equipment abnormality sensing | |
| CN105655920A (en) | Multifunctional air-ground dual-purpose electric unmanned aerial vehicle | |
| CN105718964A (en) | Transmission line vibration damper visual detection method | |
| CN111178424A (en) | Petrochemical production site safety compliance real-time detection system and method | |
| CN106959294A (en) | A kind of transmission tower defect analysis device and method based on unmanned plane inspection | |
| CN107977531A (en) | A kind of method that ground resistance hard measurement is carried out based on image procossing and field mathematical model | |
| Li et al. | The future application of transmission line automatic monitoring and deep learning technology based on vision | |
| CN107977720A (en) | A kind of earthing pole state analysis and abnormity early warning system | |
| CN108093210A (en) | A kind of transformer oil level warning system and its alarm method | |
| CN114694050A (en) | Power equipment running state detection method based on infrared image | |
| CN106355187A (en) | Application of visual information to electrical equipment monitoring | |
| CN113450471A (en) | Intelligent inspection system for production park | |
| CN113361420A (en) | Mine fire monitoring method, device and equipment based on robot and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180501 |
|
| RJ01 | Rejection of invention patent application after publication |