CN104316166A - Video positioning method for abnormal sound of transformer station - Google Patents

Video positioning method for abnormal sound of transformer station Download PDF

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Publication number
CN104316166A
CN104316166A CN201410470476.1A CN201410470476A CN104316166A CN 104316166 A CN104316166 A CN 104316166A CN 201410470476 A CN201410470476 A CN 201410470476A CN 104316166 A CN104316166 A CN 104316166A
Authority
CN
China
Prior art keywords
sound
abnormal
abnormal sound
background server
transformer station
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
Application number
CN201410470476.1A
Other languages
Chinese (zh)
Inventor
汤向华
刘辉
钱俊伟
贾四和
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nantong Power Supply Co of Jiangsu Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nantong Power Supply Co of Jiangsu Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Jiangsu Electric Power Co Ltd, Nantong Power Supply Co of Jiangsu Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201410470476.1A priority Critical patent/CN104316166A/en
Publication of CN104316166A publication Critical patent/CN104316166A/en
Pending legal-status Critical Current

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  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

Disclosed in the invention is a video positioning method for abnormal sound of a transformer station. A front-end sound acquisition device arranged at a transformer station monitoring field collects switch cabinet sound and transmits the sound to a background server. The background server invokes a sound function and analyzes and determines the sound transmitted by the front-end sound acquisition device; if the sound is determined as an abnormal one, a serial number of the device with the abnormal sound, an abnormal sound sample serial number and abnormal sound generation time are obtained; and on the basis of the device serial number, a stepping motor is driven to drive a 3G webcamera to move to the position above the switch cabinet with the problem so as to carry out video recording and the recorded video is transmitted to the background server by the 3G network. The provided method has the good using effect. The workload of the field daily operation routing inspection can be reduced; a defect can be found and localized timely; a basis for conversion from periodic detection to state repairing and maintenance can be provided; the accident occurrence rate can be reduced; and the operation reliability of the field device is improved.

Description

Transformer station's abnormal sound video locating method
Technical field
The present invention relates to a kind of transformer station abnormal sound video locating method.
Background technology
Along with the raising increasingly of the unattended rate of power system transformer substation, Intelligent transformer station will be the main from now on developing direction of electrical network, by omnibearing automatically-monitored means, improve constantly the operational reliability of electrical network, reduce the cost of day-to-day operation maintenance, need the priority project of groping to probe into especially in one period from now on, this research project focuses on and strengthens the corresponding research of transformer station's on-line monitoring field expansion.
Current intrasystem transformer station has achieved unattended substantially all, the electric parameters of on-the-spot physical device relies on " three is distant " means to control, video monitoring system has also achieved on-the-spot auxiliary video function for monitoring, and reflect another phenomenon of unit exception situation: sound, but be a blind area of electrical substation monitoring now, the important component part of the abnormal noise Ye Shi electric substation inspection on duty of physical device.
Summary of the invention
The object of the present invention is to provide a kind of periodic detection for equipment to change into transformer station's abnormal sound video locating method that repair based on condition of component provides foundation.
Technical solution of the present invention is:
A kind of transformer station abnormal sound video locating method, it is characterized in that: the front-end voice acquisition equipment being arranged on supervisory control of substation scene gathers switch cubicle sound, and by transfer voice to background server, background server calls sound function, analysis judgement is carried out to the sound that front-end voice acquisition device transmission is come, be judged as that as analyzed sound occurs abnormal, then obtain the device numbering and abnormal sound sample number and abnormal sound time of origin that occur abnormal sound, further according to the device numbering of abnormal sound, carry out recording a video and video recording being sent to background server by 3G network above the switch cubicle that Driving Stepping Motor drives 3G network camera to move to go wrong.
Result of use of the present invention is good.The workload that on-the-spot day-to-day operation is patrolled and examined can be reduced, find early and location defect, the periodic detection for equipment changes repair based on condition of component into provides foundation, and further reduction accident occurs, particularly developing fault odds, improves the operational reliability of field apparatus with this.
Native system is detected as master with transformer station's abnormal sound sound, auxiliary with the detection of equipment Partial discharge signal development trend, is that the fault of equipment in a set of transporting something containerized row is qualitative, quantitative, is positioned the comprehensive intelligent detection system of one; Carry out the abnormal sound on-line monitoring of substation field, the accurately abnormal position occurred, location, the workload that on-the-spot day-to-day operation is patrolled and examined can be reduced, find early defect early, periodic detection for equipment changes repair based on condition of component into provides foundation, further reduction accident occurs, and particularly developing fault odds, improves the operational reliability of field apparatus with this.
The present invention according to abnormal noise, can carry out video following Abnormal Sound beat and takes the photograph image.Image and the acoustic information that certain period, exception occurred is inquired about by background system.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the system schematic of one embodiment of the invention.
Fig. 2 is process flow diagram of the present invention.
Embodiment
A kind of transformer station abnormal sound video locating method, the front-end voice acquisition equipment 1 being arranged on supervisory control of substation scene gathers switch cubicle sound, and by transfer voice to background server 2, background server calls sound function, analysis judgement is carried out to the sound that front-end voice acquisition device transmission is come, be judged as that as analyzed sound occurs abnormal, then obtain the device numbering and abnormal sound sample number and abnormal sound time of origin that occur abnormal sound, further according to the device numbering of abnormal sound, carry out recording a video and video recording being sent to background server by 3G network above the switch cubicle 3 that Driving Stepping Motor drives 3G network camera 4 to move to go wrong.

Claims (1)

1. transformer station's abnormal sound video locating method, it is characterized in that: the front-end voice acquisition equipment being arranged on supervisory control of substation scene gathers switch cubicle sound, and by transfer voice to background server, background server calls sound function, analysis judgement is carried out to the sound that front-end voice acquisition device transmission is come, be judged as that as analyzed sound occurs abnormal, then obtain the device numbering and abnormal sound sample number and abnormal sound time of origin that occur abnormal sound, further according to the device numbering of abnormal sound, carry out recording a video and video recording being sent to background server by 3G network above the switch cubicle that Driving Stepping Motor drives 3G network camera to move to go wrong.
CN201410470476.1A 2014-09-16 2014-09-16 Video positioning method for abnormal sound of transformer station Pending CN104316166A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410470476.1A CN104316166A (en) 2014-09-16 2014-09-16 Video positioning method for abnormal sound of transformer station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410470476.1A CN104316166A (en) 2014-09-16 2014-09-16 Video positioning method for abnormal sound of transformer station

Publications (1)

Publication Number Publication Date
CN104316166A true CN104316166A (en) 2015-01-28

Family

ID=52371429

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410470476.1A Pending CN104316166A (en) 2014-09-16 2014-09-16 Video positioning method for abnormal sound of transformer station

Country Status (1)

Country Link
CN (1) CN104316166A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107192562A (en) * 2017-06-07 2017-09-22 哈尔滨工业大学(威海) Shock absorber Abnormal Sound Trouble is quickly positioned and diagnostic test device
CN110470379A (en) * 2019-08-23 2019-11-19 武汉理工大学 A kind of substation's movable-type intelligent noise continuous collecting system
CN110797047A (en) * 2018-08-02 2020-02-14 上汽通用汽车有限公司 Real-time monitoring device, system and method for vehicle running abnormal sound
CN111373741A (en) * 2017-11-20 2020-07-03 株式会社创佳医疗 Medical safety system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201549049U (en) * 2009-11-18 2010-08-11 吉林省电力有限公司长春供电公司 Intelligent transformer substation audio-video alarm device
CN101917061A (en) * 2010-07-14 2010-12-15 山东电力集团公司泰安供电公司 Automatic inspection method and device for substation
CN203104671U (en) * 2013-03-12 2013-07-31 孙海燕 Equipment monitoring device for power transmission and transformation system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201549049U (en) * 2009-11-18 2010-08-11 吉林省电力有限公司长春供电公司 Intelligent transformer substation audio-video alarm device
CN101917061A (en) * 2010-07-14 2010-12-15 山东电力集团公司泰安供电公司 Automatic inspection method and device for substation
CN203104671U (en) * 2013-03-12 2013-07-31 孙海燕 Equipment monitoring device for power transmission and transformation system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107192562A (en) * 2017-06-07 2017-09-22 哈尔滨工业大学(威海) Shock absorber Abnormal Sound Trouble is quickly positioned and diagnostic test device
CN111373741A (en) * 2017-11-20 2020-07-03 株式会社创佳医疗 Medical safety system
CN110797047A (en) * 2018-08-02 2020-02-14 上汽通用汽车有限公司 Real-time monitoring device, system and method for vehicle running abnormal sound
CN110470379A (en) * 2019-08-23 2019-11-19 武汉理工大学 A kind of substation's movable-type intelligent noise continuous collecting system

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Application publication date: 20150128