CN103197630B - The self study criterion method of formation of Audio Monitoring System - Google Patents
The self study criterion method of formation of Audio Monitoring System Download PDFInfo
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- CN103197630B CN103197630B CN201310077995.7A CN201310077995A CN103197630B CN 103197630 B CN103197630 B CN 103197630B CN 201310077995 A CN201310077995 A CN 201310077995A CN 103197630 B CN103197630 B CN 103197630B
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Abstract
The invention discloses a kind of self study criterion method of formation of Audio Monitoring System, be mainly used in the structure of the Audio Monitoring System sound intermediate frequency criterion of electrical equipment.Solve the difference of sound signal when distinct device, different parts and different running status, be difficult to the problem differentiated with same criterion.When Audio Monitoring System puts into operation, first by being arranged on distinct device, the audio sensor (acoustic pickup) of different parts, sound signal change when the sound signal of the different running status of continuous acquisition electrical equipment and collecting device grid switching operation within certain cycle of operation of electrical equipment, by computer processing unit, com-parison and analysis is carried out to the frequency of sound signal, amplitude and change thereof, generate audio pack winding thread.The process of each collection point is generated with reference to criterion and grid switching operation dynamic reference criterion by self-learning function.Thereafter when carrying out audio frequency supervision to electrical equipment, the sound signal of Real-Time Monitoring is compared with dynamic reference criterion during grid switching operation with reference to criterion with process, once find that sound signal is abnormal, report to the police immediately, realize supervising the specific aim of electric equipment operation audio frequency.
Description
Technical field
The present invention's mainly electric equipment intelligent monitoring, refers in particular to the structure with reference to criterion in the monitoring of Substation Electric Equipment audio frequency.
Background technology
At present, the monitoring of unattended substation is mainly tended to implement " five is distant " (remote measurement, remote signalling, remote control, remote regulating, remote viewing) monitoring, to realize few man on duty, unattended, to improve productivity effect.Current unattended substation is gather the operational factor of electrical equipment by the Main Means of remote monitoring, controls, carries out on-line checkingi to electrical equipment by sensor, or monitor the video of equipment on off state.Almost seldom relate to the Voice Surveillance to Substation Electric Equipment up till now.Electrical equipment can send all sound in operational process, can the normal or abnormal condition of discriminating device from the change of sound.When there being people on duty, mainly by listening, seeing, touch, hear, equipment is exercised supervision when its operator on duty makes an inspection tour equipment.At unattended substation, exception equipment being run to sound intermediate frequency then lacks supervision.Audio Monitoring System solves the audio frequency monitoring problem of unattended substation, but the noise difference owing to producing when different equipment runs, as transformer ' s type equipment operationally can produce electromagnetic noise by iron core; Capacitor can produce resonance sound under the effect of mains by harmonics component; GIS switchgear is operationally then relatively quiet.The electromagnetic sound that same electrical equipment produces at different positions is also different, and the electromagnetic sound produced when different loads has larger difference.Electrical equipment particularly GIS switchgear the easiest change by relative position when grid switching operation produces fault, is the emphasis of monitoring.These factors all bring the criterion problem of Audio Monitoring System, and unified criterion that is can not be adopted to carry out normal and exceptional value judgement to electrical equipment, and the present invention solves the specific aim criterion problem in Audio Monitoring System.
Summary of the invention
The present invention is directed to the supervision criterion problem of electrical equipment Audio Monitoring System, invent a kind of self study criterion method of formation of Audio Monitoring System.Namely when applying Audio Monitoring System and carrying out audio frequency supervision to electrical equipment, the dynamic change of sound signal during sound signal and equipment grid switching operation first by the different running status of equipment in audio sensor (acoustic pickup) the continuous acquisition certain cycle of operation being arranged on electrical equipment, the audio frequency collected by computer processing unit storage analysis, amplitude and change thereof, analyze maximal value, build audio pack winding thread, each collection point automatically set up by self-learning function audioref criterion targetedly.
In after this audio frequency of electrical equipment being supervised, the sound signal of real-time online collection compared with each collection point automatically set up by self-learning function before this targetedly audioref criterion, once the frequency of discovery sound signal and amplitude exceed the scope with reference to criterion, timely starting outfit runs cacophonia warning function.By distant communication function to concentrator station or chain of command in production report, to take further to check diagnosis to equipment, there is equipment breakdown in prevention.
The present invention has following advantage:
1, audioref criterion be by be arranged on different equipment, different parts audio sensor (acoustic pickup) gather set up, criterion is corresponding with device location, solve the operation sound difference of different equipment, different parts, be difficult to the problem differentiated by unified criterion.Reference criterion is generated by self-learning function at the relative position of electrical equipment, with strong points, has
position comparability.
2, reference criterion is by continuous acquisition electrical equipment in certain cycle of operation by audio sensor (acoustic pickup)
different running status passes through self studygenerate, reflect the variation range of equipment at each running status subaudio frequencies such as heavy duty, underloadings, the letter lid various running status process of equipment, has
process comparability.
3, the dynamic reference criterion of Audio Monitoring System is passed through equipment by audio sensor (acoustic pickup)
during grid switching operationthe collection of sound signal, com-parison and analysis
the dynamic range of sound signal, the dynamic reference criterion of generation, the equipment that reflects exists
during grid switching operationthe dynamic change of sound signal, has
dynamic comparability.
Accompanying drawing explanation
Fig. 1 is complete equipment figure.
Fig. 2 is static process self study criterion product process figure.
Fig. 3 is dynamic process self study criterion product process figure.
Embodiment
When using Audio Monitoring System to exercise supervision to electrical equipment, when maybe needing the equipment of supervising to increase, first by substation server and scrambler, the installation addresses to each audio sensor (acoustic pickup) is edited, and then arranges the self study cycle according to the different running statuses of monitored equipment.Start static process self study criterion generate pattern for unit audio sensor (acoustic pickup), enter self study criterion acquisition state, the sound signal of equipment is gathered and stored.Treat self study Zhou Qi Jie Bouquet, by computer processor, analyzing and processing is carried out to the sound signal that each single vowel video sensor (acoustic pickup) gathers.The static process audioref criterion that the audiorange finding out each collection point normal value is run as this collection point equipment.After this mode of operation is switched to audio frequency monitor state, audio frequency supervision is carried out to electrical equipment.The sound signal that each collection point audio sensor (acoustic pickup) real-time online is collected is compared with corresponding static process audioref criterion, once note abnormalities start alert program immediately, equipment run the supervision of audio frequency abnormal signal reporting equipment or produces commander department, asking to take further check processing to equipment.
In order to solve the dynamic reference criterion problem of equipment grid switching operation, after static process audioref criterion generates, starting dynamic process self study criterion generate pattern for unit audio sensor (acoustic pickup), entering dynamic self study criterion acquisition state.Then several times grid switching operation is carried out to supervised equipment, gathered by audio sensor (acoustic pickup) and store dynamic audio frequency signal.Treat self study cycle knot speed, by computer processor, analyzing and processing is carried out to the sound signal that each single vowel video sensor (acoustic pickup) collects, the dynamic process audioref criterion that the audio frequency variation range finding out each collection point normal value is run as this collection point equipment.After this mode of operation is switched to audio frequency monitor state.When the grid switching operation to electrical equipment, the sound signal of each collection point audio sensor (acoustic pickup) real-time online collection compared with corresponding dynamic process audioref criterion, once note abnormalities start alert program immediately, the supervision of the audio frequency abnormal signal reporting equipment of equipment or production commander department, ask whether to occur extremely to carry out check processing to equipment operating process.
The above is only the preferred embodiment of the present invention, protection scope of the present invention be not only confined to above-described embodiment, and all technical schemes belonged under thinking of the present invention all belong to protection scope of the present invention.It should be pointed out that for those skilled in the art, some improvements and modifications without departing from the principles of the present invention, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (1)
1. the self study criterion method of formation of an Audio Monitoring System, it is characterized in that: by being arranged on distinct device, the audio sensor of different parts, different running statuses according to monitored equipment arrange the self study cycle, start Static and dynamic self study criterion generate pattern, the dynamic change of sound signal when the sound signal of the different running status of equipment and equipment grid switching operation in continuous acquisition certain cycle of operation, the audio frequency analyzed and collect is stored by computer processing unit, amplitude and change thereof, analyze maximal value, build audio pack winding thread, automatically each collection point audioref criterion is targetedly set up by self-learning function.
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| CN201310077995.7A CN103197630B (en) | 2013-03-12 | 2013-03-12 | The self study criterion method of formation of Audio Monitoring System |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104301688A (en) * | 2014-10-29 | 2015-01-21 | 杭州凯达电力建设有限公司 | Method and system for monitoring sounds |
| CN106289404B (en) * | 2016-08-27 | 2019-02-26 | 薛晓辉 | A kind of device for saving Building Power Distribution facility power consumption |
| CN113376457B (en) * | 2021-05-10 | 2023-03-24 | 首钢京唐钢铁联合有限责任公司 | Equipment operation state detection method, system, device, equipment and medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102270879A (en) * | 2010-06-02 | 2011-12-07 | 李景禄 | Equipment audio monitoring system of unattended substation |
| CN102322943A (en) * | 2011-06-13 | 2012-01-18 | 河北省电力公司超高压输变电分公司 | Detection system and method for sound abnormality of power equipment |
| CN102692887A (en) * | 2011-09-14 | 2012-09-26 | 吉林省电力有限公司通化供电公司 | Device for monitoring online state of power transformer based on audio identification technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102270879A (en) * | 2010-06-02 | 2011-12-07 | 李景禄 | Equipment audio monitoring system of unattended substation |
| CN102322943A (en) * | 2011-06-13 | 2012-01-18 | 河北省电力公司超高压输变电分公司 | Detection system and method for sound abnormality of power equipment |
| CN102692887A (en) * | 2011-09-14 | 2012-09-26 | 吉林省电力有限公司通化供电公司 | Device for monitoring online state of power transformer based on audio identification technology |
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Effective date of registration: 20210127 Address after: Room 1808, Huafeng building, Xinzhou Road, Futian District, Shenzhen, Guangdong 518000 Patentee after: Shenzhen Youpeng Electromechanical Equipment Co.,Ltd. Address before: Room 302, building 22, west of Changsha University of technology, 45 Chiling Road, Tianxin District, Changsha City, Hunan Province, 410076 Patentee before: Li Jinglu |
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