CN114061665B - Non-contact inspection system and method applied to power distribution station room equipment - Google Patents
Non-contact inspection system and method applied to power distribution station room equipment Download PDFInfo
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- CN114061665B CN114061665B CN202111375478.9A CN202111375478A CN114061665B CN 114061665 B CN114061665 B CN 114061665B CN 202111375478 A CN202111375478 A CN 202111375478A CN 114061665 B CN114061665 B CN 114061665B
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- 238000007689 inspection Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 22
- 230000004927 fusion Effects 0.000 claims description 42
- 238000013500 data storage Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 3
- 239000003550 marker Substances 0.000 claims description 2
- 230000006978 adaptation Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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Abstract
The invention discloses a non-contact inspection system and a non-contact inspection method applied to power substation room equipment, and relates to the technical field of power substation room equipment detection, wherein the system comprises a shell, and an ultrasonic acquisition module, an infrared image acquisition module and a vibration acquisition module which are positioned outside the shell; the ultrasonic acquisition module, the infrared image acquisition module and the vibration acquisition module are electrically connected with the sensing data calculation module, and the sensing data calculation module is electrically connected with the fault data judgment module. The method comprises 7 steps. The detection personnel do not need to be close to the switch cabinet, only need to keep a distance with the switch cabinet, and in the range that the ultrasonic acquisition module, the infrared image acquisition module and the vibration acquisition module can detect, the required data information can be detected, the fault condition is detected, and the safety risk of the detection personnel is relatively reduced.
Description
Technical Field
The invention relates to the technical field of detection of power substation room equipment, in particular to a non-contact inspection system and method applied to the power substation room equipment.
Background
In the technical field of power grid detection, a switch cabinet in a power distribution station house is important electrical equipment, and potential major faults of the switch cabinet, such as partial discharge, local overheating of equipment, abnormal vibration and the like, are inspected and comprehensive state evaluation, so that the switch cabinet is an important measure for ensuring safe and stable operation of the switch cabinet.
Traditional testing tool is contact detection, needs the inspection personnel to be close to the cubical switchboard, uses testing tool to contact each electrical component and accomplishes the detection. Because of the large number of electrical components, this manner of contact detection presents a significant safety risk.
Disclosure of Invention
The invention aims at: aiming at the problems, a non-contact inspection system and a non-contact inspection method for power distribution station room equipment are provided, wherein detection can be realized without a detection person approaching a switch cabinet.
The technical scheme adopted by the invention is as follows:
a non-contact inspection system applied to power distribution station room equipment is used for inspecting the condition of a switch cabinet and comprises a shell, and an ultrasonic acquisition module, an infrared image acquisition module and a vibration acquisition module which are positioned outside the shell; the ultrasonic acquisition module, the infrared image acquisition module and the vibration acquisition module are electrically connected with the sensing data calculation module, and the sensing data calculation module is electrically connected with the fault data judgment module.
By adopting the technical scheme, the ultrasonic wave acquisition module, the infrared image acquisition module and the vibration acquisition module are used for non-contact detection of the ultrasonic wave condition, the infrared image and the vibration condition of the switch cabinet, and the fault data judgment module carries out fault judgment according to each detected information to finally determine the fault condition of the switch cabinet.
Preferably, the non-contact inspection system applied to the power distribution station room equipment further comprises a video acquisition module positioned outside the shell, and the video acquisition module is electrically connected with the sensor data calculation module.
By adopting the technical scheme, the video acquisition module is used for shooting video images in the switch cabinet, so that the real-time condition of the switch cabinet in the detection process can be recorded conveniently.
Preferably, the sensor data calculation module is electrically connected with a multi-image fusion module, the fault data judgment module is also electrically connected with the multi-image fusion module, and the multi-image fusion module is electrically connected with the fault position marking module.
By adopting the technical scheme, the multi-image fusion module is used for fusing the fault information judged by the fault data judging module with the video image shot by the video acquisition module, and the fault position marking module is used for marking specific fault positions, types and grades in the image formed by the fusion of the multi-image fusion module.
Preferably, the fault location marking module is electrically connected with the display module.
By adopting the technical scheme, the display module is used for displaying the images marked by the fault position marking module, so that a detector can conveniently know the fault condition in real time and judge whether real-time overhaul or subsequent maintenance is needed.
Preferably, the fault data judging module and the fault position marking module are electrically connected with a data storage module, the data storage module is electrically connected with a communication module, and the communication module is electrically connected with a remote background.
By adopting the technical scheme, the data storage module and the communication module are matched with each other to send the image marked by the fault position marking module to the remote background, so that the remote background can record the detection condition and can know the fault condition to judge whether secondary detection or field overhaul is arranged.
The non-contact inspection method applied to the substation room equipment comprises the following steps of:
S01, an ultrasonic acquisition module, an infrared image acquisition module and a vibration acquisition module respectively send acquired ultrasonic data, infrared images and vibration data to a sensing data calculation module;
S02, the sensor data calculation module calculates and gathers the received ultrasonic data, infrared images and vibration data to form summarized data, and the summarized data is sent to the fault data judgment module;
s03, the fault data judging module analyzes the received summarized data and judges faults to form fault judging information.
By adopting the technical scheme, the ultrasonic acquisition module, the infrared image acquisition module, the video acquisition module and the vibration acquisition module acquire needed information respectively, the sensor data calculation module forms summarized data with each information, the fault data judgment module is convenient for carrying out fault judgment, and each module is mutually matched to achieve the detection purpose.
Preferably, in step S01, the video acquisition module acquires a video image and sends the video image to the sensor data calculation module; in step S02, the sensor data calculation module further transmits the video image to the multi-image fusion module; in the step S03, the fault data judging module sends the fault judging information to the multi-image fusion module.
Preferably, step S03 further includes the steps of:
s04, the multi-image fusion module fuses the received video image and the fault judgment information to form a fusion image, and the fusion image is sent to the fault position marking module.
Preferably, step S04 further includes the steps of:
S05, the fault position marking module marks different faults in the received fusion image, marks different levels of faults in different levels, forms a fault marking image, and sends the fault marking image to the display module and the data storage module.
Preferably, step S05 further comprises the steps of:
S06, the display module displays the received fault marker image; the data storage module sends the received fault marking image to a remote background through the communication module, and the remote background judges whether secondary detection or field overhaul is arranged according to the fault marking image.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows: the ultrasonic wave acquisition module, the infrared image acquisition module and the vibration acquisition module can detect the ultrasonic wave condition, the infrared image and the vibration condition of the switch cabinet in a non-contact mode respectively, and the fault data judgment module carries out fault judgment according to the detected information, so that the fault condition of the switch cabinet is finally determined. The detection personnel do not need to be close to the switch cabinet, only need to keep a distance with the switch cabinet, and in the range that the ultrasonic acquisition module, the infrared image acquisition module and the vibration acquisition module can detect, the required data information can be detected, the fault condition is detected, and the safety risk of the detection personnel is relatively reduced.
Drawings
Fig. 1 is a schematic block diagram of a non-contact inspection system applied to substation room equipment.
Fig. 2 is a flow chart of a non-contact inspection method applied to substation room equipment.
The marks in the figure: the system comprises an ultrasonic acquisition module-1, an infrared image acquisition module-2, a vibration acquisition module-3, a video acquisition module-4, a sensing data calculation module-5, a fault data judgment module-6, a multi-image fusion module-7, a data storage module-8, a fault position marking module-9, a display module-10, a communication module-11 and a remote background-12.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Please refer to fig. 1, a non-contact inspection system for power distribution station room equipment is used for inspecting the condition of a switch cabinet, and comprises a shell, an ultrasonic acquisition module 1, an infrared image acquisition module 2, a vibration acquisition module 3 and a video acquisition module 4, wherein the ultrasonic acquisition module 1 is an ultrasonic sensor and is used for acquiring ultrasonic data in the switch cabinet, the infrared image acquisition module 2 is an infrared camera and is used for shooting infrared images in the switch cabinet, the vibration acquisition module 3 is a vibration sensor and is used for acquiring vibration data in the switch cabinet, and the video acquisition module 4 is a camera and is used for shooting video images in the switch cabinet.
The ultrasonic wave collection module 1, the infrared image collection module 2, the vibration collection module 3, the equal electric connection of video collection module 4 has the sensing data to calculate the module 5, sensing data calculate the module 5 electric connection has trouble data judgement module 6 and many image fusion module 7, trouble data judgement module 6 also with many image fusion module 7 electric connection, still electric connection has data storage module 8, many image fusion module 7 electric connection has trouble position mark module 9, trouble position mark module 9 electric connection has display module 10, display module 10 also with data storage module 8 electric connection, data storage module 8 electric connection has communication module 11, communication module 11 electric connection has distal end backstage 12. The display module 10 is an LCD display screen, which is fixed on the outer surface of the housing, and is used for displaying images or data transmitted by the fault location marking module 9. The communication module 11 is a wireless 4G network communication module 11.
Referring to fig. 2, a non-contact inspection method applied to a substation room device, based on the above non-contact inspection system applied to the substation room device, includes the following steps:
S01: the ultrasonic acquisition module, the infrared image acquisition module, the vibration acquisition module and the video acquisition module respectively acquire ultrasonic data, infrared images, vibration data and video images in the switch cabinet and respectively send the ultrasonic data, the infrared images, the vibration data and the video images to the sensing data calculation module;
S02: the sensor data calculation module calculates and gathers the received ultrasonic data, infrared images and vibration data, and sends the calculated ultrasonic frequency data, temperature image data and vibration frequency data to the fault data judgment module through Fourier transformation; the sensor data calculation module also sends the received video image to the multi-image fusion module;
S03: the fault data judging module analyzes the received ultrasonic frequency data, temperature image data and vibration frequency data and judges faults: judging ultrasonic frequency data of different positions, and determining whether partial discharge faults exist or not; judging whether a temperature abnormal fault exists in the image range according to the two-dimensional gradient of the temperature image data; judging whether mechanical vibration faults exist according to vibration fault characteristics and vibration frequency data of different distribution network equipment; forming fault judgment information by the judgment result, and sending the fault judgment information to a multi-image fusion module and a data storage module;
s04: the multi-image fusion module takes the received video image as a basic reference coordinate system, fuses the received fault judgment information with the video image to form a fusion image, and sends the fusion image to the fault position marking module;
S05: the fault location marking module marks the received fusion image: marking the partial discharge fault position by using a green square frame, marking the abnormal temperature fault position by using a white square frame, marking the mechanical vibration fault position by using a black square frame, marking the severity of each fault, and respectively using red, orange, yellow and blue triangles to indicate the severity of the fault from high to low; the marked fusion image forms a fault marking image, and the fault position marking module sends the fault marking image to the display module and the data storage module;
S06: the display module receives and displays the fault marking image for a detector to check, so that the detector can conveniently know the fault condition in real time and judge whether real-time overhaul or subsequent maintenance is needed;
s07: the data storage module sends the received fault marking image to the remote background through the communication module, so that the remote background can record the detection condition and can judge whether secondary detection or field overhaul is arranged or not.
The system and the method provide a fusion detection mode based on ultrasonic waves, infrared rays and vibration, realize rapid, non-contact and visual detection of partial discharge, temperature abnormality and mechanical vibration faults of the switch cabinet, can effectively comprehensively evaluate the state of the switch cabinet, improve the detection efficiency and provide a new thought for the follow-up inspection of distribution network equipment. And in addition, the non-contact and visual inspection mode can effectively ensure the personal safety of detection personnel, directly discover potential problems and defects, evaluate the running state of the switch cabinet in time, reduce the accident probability and improve the running reliability of the power grid.
The principles and embodiments of the present invention have been described herein with reference to specific examples, which are intended to be merely illustrative of the methods of the present invention and their core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (6)
1. The non-contact inspection system is used for inspecting the condition of a switch cabinet and is characterized by comprising a shell, an ultrasonic acquisition module, an infrared image acquisition module, a vibration acquisition module and a video acquisition module, wherein the ultrasonic acquisition module, the infrared image acquisition module, the vibration acquisition module and the video acquisition module are positioned outside the shell; the system comprises an ultrasonic acquisition module, an infrared image acquisition module, a vibration acquisition module and a video acquisition module, wherein the ultrasonic acquisition module, the infrared image acquisition module, the vibration acquisition module and the video acquisition module are all electrically connected with a sensing data calculation module, the sensing data calculation module is electrically connected with a fault data judgment module, the sensor data calculation module calculates and gathers received ultrasonic data, infrared images and vibration data, the calculated ultrasonic frequency data, temperature image data and vibration frequency data are sent to a fault data judgment module through Fourier transformation, the sensor data calculation module is electrically connected with a multi-image fusion module, the sensor data calculation module also sends a received video image to the multi-image fusion module, the fault data judgment module is also electrically connected with the multi-image fusion module, the fault data judgment module judges ultrasonic frequency data at different positions, whether partial discharge faults exist or not is determined, whether temperature abnormal faults exist in the image range or not is judged according to two-dimensional gradients of the temperature image data, whether mechanical vibration faults exist or not is judged according to vibration fault characteristics and vibration frequency data of different network distribution equipment, the judgment results are sent to the multi-image fusion module, the multi-image fusion module is electrically connected with the multi-image fusion module, the multi-image fusion module is subjected to the image fusion fault position marking and the image fusion module is subjected to the fault grade fusion, and the image fusion fault is formed by the image fusion module.
2. The non-contact inspection system for substation equipment according to claim 1, wherein the fault location marking module is electrically connected to the display module.
3. The non-contact inspection system for substation room equipment according to claim 2, wherein the fault data judging module and the fault location marking module are electrically connected with a data storage module, the data storage module is electrically connected with a communication module, and the communication module is electrically connected with a remote background.
4. A non-contact inspection method applied to a substation room apparatus, characterized by using the non-contact inspection system applied to a substation room apparatus as claimed in claim 3, comprising the steps of:
S01, an ultrasonic acquisition module, an infrared image acquisition module, a vibration acquisition module and a video acquisition module respectively send acquired ultrasonic data, infrared images, vibration data and video images to a sensing data calculation module;
S02, the sensor data calculation module calculates and gathers the received ultrasonic data, infrared images and vibration data, and sends the calculated ultrasonic frequency data, temperature image data and vibration frequency data to the fault data judgment module through Fourier transformation, and sends the video images to the multi-image fusion module;
S03, judging ultrasonic frequency data at different positions by a fault data judging module, determining whether partial discharge faults exist, judging whether temperature abnormal faults exist in an image range according to two-dimensional gradients of temperature image data, judging whether mechanical vibration faults exist according to vibration fault characteristics and vibration frequency data of different distribution network equipment, forming fault judging information according to the judging results, and sending the fault judging information to a multi-image fusion module;
s04, the multi-image fusion module fuses the received video image and the fault judgment information to form a fusion image, and the fusion image is sent to the fault position marking module;
S05, the fault position marking module marks different faults in the received fusion image differently, marks different levels of faults in different levels, and forms a fault marking image.
5. The method for contactless inspection of electrical substation equipment according to claim 4, wherein said step S05 further comprises:
The fault location marking module sends the fault marking image to the display module and the data storage module.
6. The non-contact inspection method applied to the substation room equipment according to claim 5, wherein the step S05 further comprises the steps of:
S06, the display module displays the received fault marker image; the data storage module sends the received fault marking image to a remote background through the communication module, and the remote background judges whether secondary detection or field overhaul is arranged according to the fault marking image.
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| CN115086801A (en) * | 2022-06-16 | 2022-09-20 | 国网重庆市电力公司电力科学研究院 | Wearable distribution network intelligent inspection system and method based on portable computing terminal |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107367672A (en) * | 2017-07-20 | 2017-11-21 | 国网江西省电力公司电力科学研究院 | High-tension switch cabinet Full-automatic belt electro-detection method and device |
| CN110161378A (en) * | 2019-04-17 | 2019-08-23 | 广西电网有限责任公司南宁供电局 | A kind of Intelligent switch cabinet crusing robot |
| CN110995821A (en) * | 2019-11-28 | 2020-04-10 | 深圳供电局有限公司 | Power distribution network inspection system based on AI and intelligent helmet |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101235777B1 (en) * | 2011-09-26 | 2013-02-21 | 유성훈 | Artificial intelligent utilization on judgement diagnostic system for electrical power ficilities using comples diagnosis eqipment |
| CN103499776B (en) * | 2013-09-03 | 2016-08-17 | 华北电力大学（保定） | Power transmission and transforming equipment fault based on ultrasound wave and infrared thermal imagery patrols and examines core system |
| KR101752165B1 (en) * | 2016-12-26 | 2017-06-29 | 엠엠피씨 주식회사 | Power Facility Remote Monitoring System using Fusion Camera |
| CN107919627B (en) * | 2017-12-15 | 2023-11-21 | 三峡大学 | Intelligent box transformer substation 'monitoring-detecting-maintaining' integrated system based on robot |
| CN108426173A (en) * | 2018-04-27 | 2018-08-21 | 钦州学院 | A kind of buried natural gas line security protection early warning system |
| CN110456665A (en) * | 2018-05-07 | 2019-11-15 | 中国石油化工股份有限公司 | Equipment running status detection method during petroleum chemical enterprise's inspection |
| CN108761237A (en) * | 2018-05-29 | 2018-11-06 | 福州大学 | Unmanned plane electric inspection process image vital electrical component diagnoses automatically and labeling system |
| CN108759926A (en) * | 2018-07-06 | 2018-11-06 | 国网江苏省电力有限公司昆山市供电分公司 | Mobile robot formula high-tension switch cabinet colony intelligence on-line monitoring system and method |
| CN109632009A (en) * | 2019-01-21 | 2019-04-16 | 国网江西省电力有限公司宜春供电分公司 | A kind of fault monitoring system and determination method of switchgear |
| CN112731086A (en) * | 2021-01-19 | 2021-04-30 | 国网上海能源互联网研究院有限公司 | Method and system for comprehensively inspecting electric power equipment |
| CN112686886B (en) * | 2021-01-26 | 2024-01-23 | 四川华能宝兴河水电有限责任公司 | Electric power inspection system and equipment fault diagnosis method thereof |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107367672A (en) * | 2017-07-20 | 2017-11-21 | 国网江西省电力公司电力科学研究院 | High-tension switch cabinet Full-automatic belt electro-detection method and device |
| CN110161378A (en) * | 2019-04-17 | 2019-08-23 | 广西电网有限责任公司南宁供电局 | A kind of Intelligent switch cabinet crusing robot |
| CN110995821A (en) * | 2019-11-28 | 2020-04-10 | 深圳供电局有限公司 | Power distribution network inspection system based on AI and intelligent helmet |
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