CN108334815A - Inspection method of power secondary equipment, and switch state identification method and system - Google Patents
Inspection method of power secondary equipment, and switch state identification method and system Download PDFInfo
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Abstract
The invention discloses a method for inspecting electric power secondary equipment, a method for identifying a switch state and a system. The switch state recognition system comprises: the image acquisition device is used for acquiring images of a switch of the power secondary equipment; and switch state identification means for identifying the state of the switch. According to the embodiment of the invention, the condition that the switch is checked and recorded manually in the traditional manual inspection can be avoided, and the method has the advantages of intellectualization and standardization, so that the efficiency and the reliability of the inspection work of the power secondary equipment are improved.
Description
Technical field
The present invention relates to automatic identification detection techniques.
Background technology
With the development of artificial intelligence technology, the automating of power distribution equipment, intelligence has become development trend, matches Denso
The optimization set, which is changed, becomes active demand.For each power supply enterprise, how equipped in face of widely applied intelligent power distribution
Intelligent Set-value adjustment is carried out to power distribution equipment, how to identify each switch operating status of power distribution equipment, how to improve definite value verification
Efficiency should carry out upgrading optimization for construction object in which place, such, it has also become in the urgent need to address asks
Topic.
Second power equipment inspection is an important process in electric system.For a substation, it will usually monthly
An inspection even is carried out to the operating status of all secondary devices of substation weekly.Traditional routine inspection mode mainly uses
The mode of manual inspection, patrol officer need to conduct a survey to each on off state, judge whether to be in correct position, and will be every
In the state recording of a switch to portable paper list.Traditional routine inspection mode has flow cumbersome, and repeatability is strong, consumption
The shortcomings of duration, human eye vision fatigue causes error rate high.
Invention content
One aspect of the present invention provides a kind of on off state identifying system of second power equipment, including：
Image collecting device, the image of the switch for acquiring the second power equipment；And
On off state identification device, for identification state of the switch.
Preferably, described image acquisition dress is intelligent mobile terminal, augmented reality intelligent glasses, smart mobile phone or moving machine
Device people.
Preferably, the on off state identification device is Cloud Server.
Preferably, further include data server, the on off state identified for preserving the on off state identification device
Information.
Another aspect of the present invention provides a kind of on off state recognition methods, including：
Obtain the image of the switch；And
Detect the position of the switch in described image and the state of identification switch.
Preferably, passing through the identification realized to the state of the switch of classifying.
Preferably, detecting the switch in described image using faster region convolutional neural networks Faster-RCNN methods
Position and identification switch state.
Preferably, the position for detecting the switch in described image using Faster-RCNN methods and identification switch
State includes：
Described image is inputted into convolutional layer, extracts the characteristic pattern of described image；
Suggestion areas of different sizes is generated by Area generation network RPN, to detect the position of the switch in image
It sets；
It is obtaining fixed size with the suggestion area by the characteristic pattern and suggestion areas input region of interest pond layer
The one-to-one suggestion areas characteristic pattern in domain；And
The status categories belonging to the corresponding switch of each suggestion areas are calculated using the suggestion areas characteristic pattern, and are utilized
Frame returns the final exact position for obtaining the suggestion areas.
Further aspect of the present invention provides a kind of method for inspecting of second power equipment, including：
Intelligent mobile terminal is set to acquire the image of the switch of the second power equipment；And
Make the state for the switch that on off state identification device identifies in described image.
Preferably, further including before making the image of the switch that intelligent mobile terminal acquires the second power equipment：Intelligence is eventually
End equipment is to data server requests patrol task；Make the state for the switch that on off state identification device identifies in described image
After further include：The position of switch and state are returned into the intelligent mobile terminal and data server.
Embodiment according to the present invention, can via the image of the switch of image acquisition device second power equipment,
The state switched in image is automatically identified by off state identification device, avoids traditional artificial inspection by manually to check simultaneously
The state for recording switch has the advantages that intelligent, standardization, can improve the efficiency of second power equipment inspection work with can
By property.
Description of the drawings
Fig. 1 shows a kind of on off state identifying system of second power equipment of one embodiment of the invention；
Fig. 2 shows the on off state recognition methods of one embodiment of the invention；
Fig. 3 shows an example of the on off state recognition result of the present invention.
Specific implementation mode
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar component or component with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
In some flows of description in description and claims of this specification and above-mentioned attached drawing, contain according to
Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its
Sequence is executed or is executed parallel, and serial number such as S1, S2 of operation etc. be only used for distinguishing each different operation, serial number sheet
Body, which does not represent, any executes sequence.In addition, these flows may include more or fewer operations, and these operations can be with
It executes or executes parallel in order.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can be machine
Tool connects, and can also be electrical connection；It can be directly connected, can also can be indirectly connected through an intermediary two members
Connection inside part.For the ordinary skill in the art, above-mentioned term can be understood in this hair as the case may be
Concrete meaning in bright.
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 describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
Fig. 1 is shown according to a kind of on off state identifying system 10 of second power equipment of one embodiment of the invention, this is
System includes：
Image collecting device 12, the image of the switch for acquiring the second power equipment；And
On off state identification device 14, for identification state of the switch.
Preferably, system further includes data server 16, the switch identified for preserving on off state identification device 14
Status information.
Wherein, image collecting device 12 is preferably intelligent mobile terminal easy to remove, such as can be augmented reality
Intelligent glasses, smart mobile phone or mobile robot etc..Intelligent mobile terminal can be to data server requests patrol task phase
After closing information, inspection work is proceeded by, the picture of the switch of second power equipment is constantly acquired, is transmitted on off state identification
Device.
On off state identification device 14 is preferably Cloud Server, can be via wired or wireless network and image collecting device
12 communications.In the present invention, advanced intelligent algorithm can be used in the identification of on off state, and usual this kind of algorithm is to chip
CPU and GPU has higher requirement, therefore, Cloud Server can be made to complete on off state identification.If being appreciated that intelligent sliding
Dynamic terminal has more powerful processing capacity, and on off state identification can also be completed by intelligent mobile terminal.
After on off state identification device 14 completes on off state identification, the position of switch and status information can be returned to intelligence
It can mobile terminal and data server.
In the present invention, preferably, using faster region convolutional neural networks (Faster Region-based
Convolutional Neural Networks, abbreviation Faster-RCNN) switch in method detection image position and knowledge
The state not switched.It is appreciated that other Target detection and identification methods can also be used to realize the knowledge of on off state in the present invention
Not, such as the methods of RCNN or Fast-RCNN also can be used.
Referring to Fig.2, detecting the position of the switch in described image and the state of identification switch using Faster-RCNN methods
Including：
S1, the image of acquisition is inputted into convolutional layer, extracts the characteristic pattern (feature maps) of described image.Wherein, exist
Before carrying out feature extraction, can image be first transformed to scheduled size, reuse the conv+relu+ on one group of basis later
The characteristic pattern of pooling layers of extraction image.
S2, of different sizes build is generated by Area generation network (Region Proposal Networks, abbreviation RPN)
It discusses region (region proposals).Specifically, different proportion can be used and different scale generates several candidate regions
(anchors), then, judge that anchors belongs to foreground (foreground) or background by softmax
(background), it and returns (bounding box regression) using frame and corrects candidate region, with closer to really
Window (Groud truth), then the offset obtained acquisition is returned by proposal layers of comprehensive foreground candidate region and frame and is built
Region is discussed, and rejects too small and beyond boundary suggestion areas, obtains accurately suggestion areas, to complete target positioning, i.e.,
Detect the position of the switch in image.
S3, by the suggestion areas input region of interest pond layer (Roi Pooling) of the characteristic pattern of extraction and generation, obtain
It obtains and the one-to-one suggestion areas characteristic pattern of suggestion areas (proposal feature map).The suggestion areas generated in S2
Size is different, area-of-interest pond layer can comprehensive characteristics figure and suggestion areas, extract the suggestion areas of fixed size
Characteristic pattern.
S4, classification, it is corresponding with the softmax each suggestion areas of calculating by full articulamentum using suggestion areas characteristic pattern
Switch belonging to status categories, output probability vector, and utilize again frame return obtain each suggestion areas position it is inclined
Shifting amount, to return the more accurate suggestion areas of out position.
It is directly one kind by a kind of status indication of each switch in marker samples in the present invention, it thus can be real
Now positioning and state recognition end to end, to pass through the identification realized to the state of switch of classifying.Fig. 3 shows opening for the present invention
One example of off status recognition result.
Embodiment according to the present invention, can via the image of the switch of image acquisition device second power equipment,
The state switched in image is automatically identified by off state identification device, avoids traditional artificial inspection by manually to check simultaneously
The state for recording switch has the advantages that intelligent, standardization, can improve the efficiency of second power equipment inspection work with can
By property.
Mode the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this
Equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content, it is relevant to be applied directly or indirectly in other
Technical field is included within the scope of the present invention.
Claims (10)
1. a kind of on off state identifying system of second power equipment, including：
Image collecting device, the image of the switch for acquiring the second power equipment；And
On off state identification device, for identification state of the switch.
2. identifying system as described in claim 1, which is characterized in that described image harvester is intelligent mobile terminal, increases
Strong reality intelligent glasses, smart mobile phone or mobile robot.
3. identifying system as described in claim 1, which is characterized in that the on off state identification device is Cloud Server.
4. identifying system as described in any one of claims 1 to 3, which is characterized in that further include data server, for preserving
The switching-state information that the on off state identification device identifies.
5. a kind of on off state recognition methods, including：
Obtain the image of the switch；And
Detect the position of the switch in described image and the state of identification switch.
6. method as claimed in claim 5, which is characterized in that pass through the identification realized to the state of the switch of classifying.
7. method as claimed in claim 5, which is characterized in that use faster region convolutional neural networks Faster-RCNN
Method detects the position of the switch in described image and the state of identification switch.
8. the method for claim 7, which is characterized in that in the detection described image using Faster-RCNN methods
Switch position and the state of identification switch include：
Described image is inputted into convolutional layer, extracts the characteristic pattern of described image；
Suggestion areas of different sizes is generated by Area generation network RPN, to detect the position of the switch in image；
By the characteristic pattern and suggestion areas input region of interest pond layer, obtain fixed size with the suggestion areas one
One corresponding suggestion areas characteristic pattern；And
The status categories belonging to the corresponding switch of each suggestion areas are calculated using the suggestion areas characteristic pattern, and utilize frame
Return the final exact position for obtaining the suggestion areas.
9. a kind of method for inspecting of second power equipment, including：
Intelligent mobile terminal is set to acquire the image of the switch of the second power equipment；And
Make the state for the switch that on off state identification device identifies in described image.
10. method as claimed in claim 9, which is characterized in that
Further include before so that intelligent mobile terminal is acquired the image of the switch of the second power equipment：Intelligent terminal is to data
Server asks patrol task；
Further include after so that on off state identification device is identified the state of switch in described image：By the position of switch and state
Return to the intelligent mobile terminal and data server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810029873.3A CN108334815A (en) | 2018-01-11 | 2018-01-11 | Inspection method of power secondary equipment, and switch state identification method and system |
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| CN201810029873.3A CN108334815A (en) | 2018-01-11 | 2018-01-11 | Inspection method of power secondary equipment, and switch state identification method and system |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108828409A (en) * | 2018-08-03 | 2018-11-16 | 南方电网科学研究院有限责任公司 | Fault detection system based on edge calculation |
| CN109242826A (en) * | 2018-08-07 | 2019-01-18 | 高龑 | Mobile device end label shape object radical method of counting and system based on target detection |
| CN109360290A (en) * | 2018-10-31 | 2019-02-19 | 深圳供电局有限公司 | Electric power inspection system |
| CN109376606A (en) * | 2018-09-26 | 2019-02-22 | 福州大学 | A kind of electric inspection process image pole and tower foundation fault detection method |
| CN109934221A (en) * | 2019-02-22 | 2019-06-25 | 山东大学 | Power equipment based on attention mechanism automatically analyzes identification monitoring method and system |
| CN110059556A (en) * | 2019-03-14 | 2019-07-26 | 天津大学 | A kind of transformer substation switch division condition detection method based on deep learning |
| CN110503809A (en) * | 2019-07-26 | 2019-11-26 | 北京讯腾智慧科技股份有限公司 | A kind of gas concentration detection system based on AR equipment |
| CN112178706A (en) * | 2020-10-14 | 2021-01-05 | 宁波方太厨具有限公司 | Method and system for identifying fire gear of stove and method and system for linking smoke stove |
| CN113177962A (en) * | 2021-05-21 | 2021-07-27 | 中国工商银行股份有限公司 | Inspection robot, switch state identification method and device and storage medium |
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| CN104331710A (en) * | 2014-11-19 | 2015-02-04 | 集美大学 | On-off state recognition system |
| CN105137343A (en) * | 2015-08-27 | 2015-12-09 | 国家电网公司 | Relay protection pressure plate state detection system and detection method |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108828409A (en) * | 2018-08-03 | 2018-11-16 | 南方电网科学研究院有限责任公司 | Fault detection system based on edge calculation |
| CN109242826A (en) * | 2018-08-07 | 2019-01-18 | 高龑 | Mobile device end label shape object radical method of counting and system based on target detection |
| CN109242826B (en) * | 2018-08-07 | 2022-02-22 | 高龑 | Mobile equipment end stick-shaped object root counting method and system based on target detection |
| CN109376606A (en) * | 2018-09-26 | 2019-02-22 | 福州大学 | A kind of electric inspection process image pole and tower foundation fault detection method |
| CN109360290A (en) * | 2018-10-31 | 2019-02-19 | 深圳供电局有限公司 | Electric power inspection system |
| CN109934221A (en) * | 2019-02-22 | 2019-06-25 | 山东大学 | Power equipment based on attention mechanism automatically analyzes identification monitoring method and system |
| CN110059556A (en) * | 2019-03-14 | 2019-07-26 | 天津大学 | A kind of transformer substation switch division condition detection method based on deep learning |
| CN110503809A (en) * | 2019-07-26 | 2019-11-26 | 北京讯腾智慧科技股份有限公司 | A kind of gas concentration detection system based on AR equipment |
| CN112178706A (en) * | 2020-10-14 | 2021-01-05 | 宁波方太厨具有限公司 | Method and system for identifying fire gear of stove and method and system for linking smoke stove |
| CN112178706B (en) * | 2020-10-14 | 2021-11-05 | 宁波方太厨具有限公司 | Method and system for identifying fire gear of stove and method and system for linking smoke stove |
| CN113177962A (en) * | 2021-05-21 | 2021-07-27 | 中国工商银行股份有限公司 | Inspection robot, switch state identification method and device and storage medium |
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