CN205228628U - Distributing type power transformer noise detection system - Google Patents

Distributing type power transformer noise detection system Download PDF

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Publication number
CN205228628U
CN205228628U CN201521008664.9U CN201521008664U CN205228628U CN 205228628 U CN205228628 U CN 205228628U CN 201521008664 U CN201521008664 U CN 201521008664U CN 205228628 U CN205228628 U CN 205228628U
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China
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module
noise
remote transmission
power transformer
signal processing
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CN201521008664.9U
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吴晓文
周年光
彭继文
胡胜
陶莉
黄韬
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
State Grid Hunan Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hunan Electric Power Co Ltd
State Grid Hunan Electric Power Co Ltd
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Abstract

The utility model discloses a distributing type power transformer noise detection system, including inspection center's unit and a plurality of detection terminal, detection terminal includes the noise sensing module, signal acquisition and AD conversion module, digital signal processing module, the signal remote transmission module, clock module and power module, the noise sensing module, signal acquisition and AD conversion module, digital signal processing module, the signal remote transmission module is consecutive, clock module and digital signal processing module link to each other, power module respectively with the noise sensing module, signal acquisition and AD conversion module, digital signal processing module, the signal remote transmission module, the clock module links to each other, communications network is passed through to the signal remote transmission module and inspection center's unit links to each other. The utility model discloses can realize detecting and detecting than the distributing type of power transformer noise in the large area the categorised arrangement of data, the scene need not the staff, has that the detection range is wide, with low costs, convenient operation's advantage.

Description

A kind of distributed power transformer noise detection system
Technical field
The utility model relates to power transformer noise detection technique, is specifically related to a kind of distributed power transformer noise detection system.
Background technology
Along with the continuous increase of electrical network scale, the improving constantly of electric pressure, the noise effect problem of power equipment becomes increasingly conspicuous.In recent years, the tip-offs about environmental issues quantity relevant with power equipment noise problem constantly rises, and the noise effect of power equipment has become the pressing issues that must face in power grid construction process.Transformer is one of noise source main in power equipment, and its walkaway is the prerequisite to transformer noise specificity analysis and control.In addition, power transformer noise and its running status closely related, the corresponding different faults type of different noise characteristic, therefore, walkaway is same with fault diagnosis significant for Power Transformer Condition evaluation.At present, in order to detect transformer noise, needing staff to carry large number quipments and going to substation field, as sound meter, calibrating device, extension rod, cable, tripod etc., carry comparatively inconvenience and scene need to install equipment.For comparatively remote transformer station, staff comes and goes substation and takes time comparatively of a specified duration, easily causes the human and material resources wasting of resources.Run into the situation that transformer station to be measured is more, completing all transformer noises, to detect required test period longer.In addition, after each walkaway completes, staff all needs to carry out arranging separately and analyzing to data, the data that need arrange are more, be unfavorable for increasing work efficiency, and be difficult to the statistical study carrying out the history noise data characteristic within the scope of certain hour for transformer a certain in specific region, particular substation.
Utility model content
The technical problems to be solved in the utility model: for the problems referred to above of prior art, there is provided one can carry out power transformer noise on a large scale to measure simultaneously and store, save manpower and material resources, easy to operate, lower-cost distributed power transformer noise detection system.
In order to solve the problems of the technologies described above, the technical solution adopted in the utility model is:
A kind of distributed power transformer noise detection system, comprise inspection center's unit and multiple sense terminals, described sense terminals comprises noise sensing module, signals collecting and A/D modular converter, digital signal processing module, signal remote transmission module, clock module and power module, described noise sensing module, signals collecting and A/D modular converter, digital signal processing module, signal remote transmission module is connected successively, described clock module is connected with digital signal processing module, described power module respectively with noise sensing module, signals collecting and A/D modular converter, digital signal processing module, signal remote transmission module, clock module is connected, described signal remote transmission module is connected with inspection center unit by communication network.
Preferably, described noise sensing module comprises interconnective microphone and prime amplifier, and the output terminal of described prime amplifier is connected with A/D modular converter with signals collecting by the cable of band screen layer.
Preferably, described signal remote transmission module is GPRS communication module.。
The utility model distributed power transformer noise detection system has following advantage: the utility model comprises inspection center's unit and multiple sense terminals, sense terminals comprises noise sensing module, signals collecting and A/D modular converter, digital signal processing module, signal remote transmission module, clock module and power module, signal remote transmission module is connected with inspection center unit by communication network, thus form distributed power transformer walkaway structure, transformer noise is detected by arranging sense terminals in transformer station, communication network is adopted to realize remote fast transport, and utilize inspection center's unit carry out classifying to data and preserve, the Distributed Detection of transformer noise can be realized, can realize compared with power transformer noise in large regions Distributed Detection and detect the taxonomic revision of data, on-the-spot without the need to staff, there is sensing range wide, cost is low, easy to operate advantage.
Accompanying drawing explanation
Fig. 1 is the framed structure schematic diagram of the utility model embodiment noise detection system.
Fig. 2 is the basic flow sheet of the detection method of the utility model embodiment noise detection system.
Marginal data: 1, inspection center's unit; 2, sense terminals; 21, noise sensing module; 22, signals collecting and A/D modular converter; 23, digital signal processing module; 24, signal remote transmission module; 25, clock module; 26, power module.
Embodiment
As shown in Figure 1, the distributed power transformer noise detection system of the present embodiment comprises inspection center's unit 1 and multiple sense terminals 2, sense terminals 2 comprises noise sensing module 21, signals collecting and A/D modular converter 22, digital signal processing module 23, signal remote transmission module 24, clock module 25 and power module 26, noise sensing module 21, signals collecting and A/D modular converter 22, digital signal processing module 23, signal remote transmission module 24 is connected successively, clock module 25 is connected with digital signal processing module 23, power module 26 respectively with noise sensing module 21, signals collecting and A/D modular converter 22, digital signal processing module 23, signal remote transmission module 24, clock module 25 is connected, signal remote transmission module 24 is connected with inspection center unit 1 by communication network.
The present embodiment utilizes the power module 26 that the maintenance cabinet power supply of power transformer in transformer station is sense terminals 2 to provide uninterrupted power supply, sense terminals 2 is all placed in Repair of Transformer cabinet except the outer remaining part of noise sensing module 21, sense terminals power supply is stablized and has good running environment.
In the present embodiment, noise sensing module 21 comprises interconnective microphone and prime amplifier, and the output terminal of prime amplifier is connected with A/D modular converter 22 with signals collecting by the cable of band screen layer.
In the present embodiment, signal remote transmission module 24 body adopts GPRS communication module, GPRS communication module adopts 2G mobile communications network, has the advantage that territory, network communication coverage area is wide, purchase cost is low, is especially applicable to the communication of the smallest number of distributed power transformer noise detection system.In addition, signal remote transmission module 24 also can adopt the communication module of the types such as 3G/4G as required.
On the basis that the signal remote transmission module 24 of the present embodiment distributed power transformer noise detection system sense terminals 2 is connected with inspection center unit 1 by communication network, inspection center's unit 1 checks sense terminals running status, verification sense terminals control sense terminals 2 and gather transformer noise signal by signal remote transmission means, thus for providing underlying hardware based on the power transformer noise detecting method of the present embodiment distributed power transformer noise detection system.In the present embodiment, inspection center's unit 1 sends instruction for having to sense terminals, data receiver, data decode, Data classification arrange, data store and the computing machine of data base call function, and the instruction sent comprises the inquiry of sense terminals running status, test result calibration, clock check and correction, noise signal collection and detects stopping.
As shown in Figure 2, the step based on the power transformer noise detecting method of the present embodiment distributed power transformer noise detection system comprises:
1) in each target power transformer place transformer station, sense terminals 2 is installed in advance, sense terminals 2 is connected with inspection center unit 1 by communication network, and distributes an overall unique number for each sense terminals 2; When needs carry out walkaway for some target power transformers, redirect performs next step; The distributed frame of aforementioned the present embodiment distributed power transformer noise detection system, can by n the AC Substation of sense terminals 2 flexible arrangement in certain area, every platform transformer arranges 1 sense terminals 2, by numbering respectively region, transformer station and transformer, make each sense terminals 2 corresponding unique number respectively, so that mutually distinguish;
2) inspection center's unit 1 sends request to sense terminals 2, sense terminals 2 carries out noise signal collection after receiving the request, and ground unrest filtering, the calculating of 1/3 octave component spectrum, sound pressure level calculating and testing result coding are carried out successively to the noise signal collected, the testing result the most at last after coding sends to inspection center's unit 1;
3) testing result received is saved to database by inspection center's unit 1.
But it should be noted that, for reducing data traffic between sense terminals 2, inspection center's unit 1, saving the angle of data communication cost, walkaway related operation process (ground unrest filtering, 1/3 octave component spectrum calculate, sound pressure level calculates and testing result coding) is all realized by each sense terminals 2 by the present embodiment.But this never means that the related operation process of the present embodiment distributed power transformer noise detection system realizes by means of only each sense terminals 2.Especially under the prerequisite day by day popularized the mobile network of the high bandwidths such as 3G/4G, low cost, the process of walkaway related operation certainly also can be processed by inspection center's unit 1 by those skilled in the art as required, and which can also reduce the computing requirement to processor of sense terminals 2.Simultaneously, the realization of the present embodiment distributed power transformer noise detection system also and do not rely on the walkaway related operation disposal route that the present embodiment mentions, except the walkaway related operation disposal route that the present embodiment is mentioned, those skilled in the art certainly also can adopt the noise detecting method of other types as required, equally also can realize the distributed walkaway of power transformer, not repeat them here.
In the present embodiment, step 2) detailed step comprise:
2.1) inspection center's unit 1 sends status poll instruction to check sense terminals 2 whether normal operation to sense terminals 2, if sense terminals 2 is normally run, return response to inspection center's unit 1, and redirect performs step 2.2), otherwise, terminate and exit;
2.2) inspection center's unit 1 sends microphone calibration command to sense terminals 2, and sense terminals 2 carries out microphone calibration after receiving microphone calibration command, and returns response to inspection center's unit 1 after completing clock;
2.3) inspection center's unit 1 sends clock alignment instruction to sense terminals 2, and sense terminals 2 receives the laggard row clock calibration of clock alignment instruction, and returns response to inspection center's unit 1 after completing clock;
2.4) inspection center's unit 1 sends Noise Acquisition instruction to sense terminals 2, sense terminals 2 carries out Noise Acquisition after receiving clock alignment instruction, and ground unrest filtering, the calculating of 1/3 octave component spectrum, sound pressure level calculating and testing result coding are carried out successively to the noise signal collected, the testing result the most at last after coding sends to inspection center's unit 1;
2.5) inspection center's unit 1 is after receiving testing result, testing result form is verified, if verification is passed through, then sends Noise Acquisition halt instruction to sense terminals 2, stop after sense terminals 2 receives Noise Acquisition halt instruction carrying out Noise Acquisition, enter holding state.
In the present embodiment, step 2.4) in carry out ground unrest filtering detailed step comprise: utilize n-layer wavelet packet decomposition algorithm at F sin/2 frequency ranges, transformer noise is divided into 2 from low to high according to frequency nsection, wherein F sfor sample frequency, one section of transformer noise Signal estimation when not occurring with ground unrest goes out the power spectrum P of pure transformer noise signal in each WAVELET PACKET DECOMPOSITION frequency range nw (), utilizes spectrum-subtraction voice enhancement algorithm from the power spectrum P of each WAVELET PACKET DECOMPOSITION frequency band noise signal ythe power spectrum P of pure transformer noise signal is deducted in (w) nw () obtains Background Noise Power spectrum P sw (), to described Background Noise Power spectrum P sw () is carried out Fourier inversion and is obtained ground unrest time-domain signal s (t), deduct s (t), obtain transformer noise signal n (t) that each frequency range is pure by time-domain signal y (t) of each decomposition frequency range.
In the present embodiment, step 2.4) in the wave filter that adopts when carrying out third-octave filtering be 3 rank Butterworth wave filters.The present embodiment is by the above-mentioned ground unrest filtering based on wavelet packet decomposition algorithm, time-frequency domain resolution process can be carried out to transformer noise, therefrom find out the frequency range containing transformer station's ground unrest (as chirping of birds, chirp etc.), and adopt spectrum-subtraction voice enhancement algorithm to eliminate transformer station's ground unrest to this frequency range, thus obtain pure transformer body and fan mixed noise signal, compared with wavelet decomposition algorithm, wavelet packet decomposition algorithm can carry out finer division to transformer noise frequency, and obtains each band noise signal process over time.
In the present embodiment, step 2.4) in carry out sound pressure level calculating detailed step comprise: for the Output rusults of third-octave filtering, calculate sound pressure level corresponding to each third-octave centre frequency according to sound pressure level definition and utilize A weighting network to revise, then carrying out the overall sound pressure level of sound pressure level summation acquisition equivalent A-weighted sound pressure level as power transformer.Specifically design third octave filter according to the requirement of third-octave centre frequency and GB/T3241-1998 in the present embodiment, third-octave analysis is carried out to pure transformer noise and calculates equivalent A-weighted sound pressure level.Third octave filter's type is 3 rank Butterworth wave filters, after 1/3 octave component filtering is carried out to pure transformer noise, sound pressure level corresponding to each third-octave centre frequency is calculated according to sound pressure level definition, and utilize A weighting network to revise, adopt sound pressure level summation approach to obtain equivalent A-weighted sound pressure level.
In the present embodiment, step 3) in inspection center's unit 1 when the testing result received is saved to database, the field information preserved comprises and detects that date, transformer station's title, transformer are separate, overall sound pressure level, third-octave.
The above is only preferred implementation of the present utility model, protection domain of the present utility model be not only confined to above-described embodiment, and all technical schemes belonged under the utility model thinking all belong to protection domain of the present utility model.It should be pointed out that for those skilled in the art, do not departing from the some improvements and modifications under the utility model principle prerequisite, these improvements and modifications also should be considered as protection domain of the present utility model.

Claims (3)

1. a distributed power transformer noise detection system, is characterized in that: comprise inspection center's unit (1) and multiple sense terminals (2), described sense terminals (2) comprises noise sensing module (21), signals collecting and A/D modular converter (22), digital signal processing module (23), signal remote transmission module (24), clock module (25) and power module (26), described noise sensing module (21), signals collecting and A/D modular converter (22), digital signal processing module (23), signal remote transmission module (24) is connected successively, and described clock module (25) is connected with digital signal processing module (23), described power module (26) respectively with noise sensing module (21), signals collecting and A/D modular converter (22), digital signal processing module (23), signal remote transmission module (24), clock module (25) is connected, and described signal remote transmission module (24) is connected with inspection center's unit (1) by communication network.
2. distributed power transformer noise detection system according to claim 1, it is characterized in that: described noise sensing module (21) comprises interconnective microphone and prime amplifier, the output terminal of described prime amplifier is connected with A/D modular converter (22) with signals collecting by the cable of band screen layer.
3. distributed power transformer noise detection system according to claim 1 and 2, is characterized in that: described signal remote transmission module (24) is GPRS communication module.
CN201521008664.9U 2015-12-08 2015-12-08 Distributing type power transformer noise detection system Active CN205228628U (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105424172A (en) * 2015-12-08 2016-03-23 国家电网公司 Noise detection system for distributed power transformer and noise detection method for distributed power transformer
CN107036702A (en) * 2017-05-16 2017-08-11 国网新疆电力公司昌吉供电公司 Substation transformer audio monitoring device
CN108362966A (en) * 2018-02-12 2018-08-03 广东电网有限责任公司电力科学研究院 A kind of oil-immersed type transformer high-precision noise on-line monitoring method and system
CN112183407A (en) * 2020-09-30 2021-01-05 山东大学 Tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105424172A (en) * 2015-12-08 2016-03-23 国家电网公司 Noise detection system for distributed power transformer and noise detection method for distributed power transformer
CN105424172B (en) * 2015-12-08 2018-12-28 国家电网公司 A kind of distributed power transformer noise detection system and its noise detecting method
CN107036702A (en) * 2017-05-16 2017-08-11 国网新疆电力公司昌吉供电公司 Substation transformer audio monitoring device
CN108362966A (en) * 2018-02-12 2018-08-03 广东电网有限责任公司电力科学研究院 A kind of oil-immersed type transformer high-precision noise on-line monitoring method and system
CN112183407A (en) * 2020-09-30 2021-01-05 山东大学 Tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction
CN112183407B (en) * 2020-09-30 2022-08-09 山东大学 Tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction

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