CN113295265A - Transformer noise detection method - Google Patents
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- CN113295265A CN113295265A CN202110350055.5A CN202110350055A CN113295265A CN 113295265 A CN113295265 A CN 113295265A CN 202110350055 A CN202110350055 A CN 202110350055A CN 113295265 A CN113295265 A CN 113295265A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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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
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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Abstract
The invention provides a transformer noise detection method, which belongs to the technical field of noise detection and comprises a plurality of first square areas; arranging a primary noise monitor in each first square area; calculating the noise data of each primary noise monitor and the median of a plurality of noise data; recording a primary noise monitor with noise data less than one fifth of the median and more than one half of the median as a marking noise monitor; and labeling a first noise contaminated area having a noise greater than an ambient noise standard based on the noise data. According to the transformer noise detection method provided by the invention, the area to be detected is divided into a plurality of first square areas by means of the square grids, the primary noise monitor is installed in each first square area to carry out comprehensive noise detection on the whole area to be detected, and the noise abnormal position of the whole area to be detected is secondarily detected by means of the marking noise monitor and the secondary detection noise monitor, so that the purpose of accurately monitoring noise data is achieved.
Description
Technical Field
The invention belongs to the technical field of noise detection, and particularly relates to a transformer noise detection method.
Background
In cities, a large number of transformers provide sufficient electric quantity for life and work of citizens, but a large amount of noise is generated while the transformers provide electric energy, so that life of people is influenced. At present, noise detection is carried out according to the fact that people react to noise pollution, and the detection surface is small and inaccurate in detection.
Disclosure of Invention
The invention aims to provide a transformer noise detection method, which aims to solve the technical problems that the detection surface of transformer noise pollution is small and the detection is inaccurate in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that: provided is a transformer noise detection method, comprising:
dividing the area to be detected in a mode of a plurality of equally large square grids to form a plurality of first square areas;
a plurality of primary noise monitors are uniformly distributed in each first square area; starting each primary noise monitor, and calculating the noise data of each primary noise monitor and the median of a plurality of noise data; recording a primary noise monitor with noise data less than one fifth of the median and more than one half of the median as a marking noise monitor;
secondary detection noise monitors are arranged on two sides of a single marking noise monitor in the same first square area, and each secondary detection noise monitor is respectively positioned between two adjacent primary noise monitors; secondarily detecting noise monitors among a plurality of mark noise monitors in the same first square area, wherein the secondary detecting noise monitors are uniformly distributed at intervals; setting a secondary detection noise monitor at the middle position of two corresponding mark noise monitors at the boundary of two adjacent first square areas;
and starting each primary noise monitor and each secondary detection noise monitor to carry out secondary noise monitoring, and marking a first noise pollution area with noise larger than the environmental noise standard according to the noise data.
As another embodiment of the present application, a plurality of auxiliary noise monitors are disposed on a boundary line between two adjacent first square areas.
As another embodiment of the present application, when calculating the median of a plurality of the noise data, ignoring the data of each of the auxiliary noise monitors; when two corresponding mark noise monitors appear at the boundary of two adjacent first square areas, the secondary detection noise monitor is arranged at the center of a triangle formed by the auxiliary noise monitor and the two primary noise monitors.
As another embodiment of the present application, data of the auxiliary noise monitor is recorded; when calculating the median of a plurality of noise data, neglecting the data of each auxiliary noise monitor; and when two corresponding mark noise monitors appear at the boundary of two adjacent first square areas, taking the auxiliary noise monitors close to the two primary noise monitors as secondary detection noise monitors.
As another embodiment of the present application, the transformer noise detection method further includes:
dismantling each of the primary noise monitor and the secondary detection noise monitor;
dividing the region to be detected again by a plurality of equal-size squares to form a plurality of second square regions; the center of each second square area is positioned at the center of the corresponding four first square areas;
a plurality of primary noise monitors are uniformly distributed in each second square area;
starting each primary noise monitor, and calculating noise data of each primary noise monitor;
marking a second noise pollution area with noise larger than the environmental noise standard according to the noise data;
and the intersection area of the first noise pollution area and the second noise pollution area is a third noise pollution area.
As another embodiment of the present application, temporary noise monitors are respectively disposed on boundary lines of a plurality of second square regions near a boundary of the region to be detected.
As another embodiment of the present application, the areas of the first square region and the second square region are less than or equal to one percent of the region to be detected and greater than or equal to one third percent.
As another embodiment of the present application, for a primary noise monitor provided in a transformer concentrated installation area, distinctive noise data corresponding to monitoring of the primary noise monitor is recorded, and the distinctive noise data is not included when calculating the median of the noise data.
As another embodiment of the present application, before the secondary detection noise monitors are disposed on both sides of the single marking noise monitor in the same first square region, the single marking noise monitor is detected.
As another embodiment of the present application, each of the first square regions and each of the primary noise monitors are numbered.
The transformer noise detection method provided by the invention has the beneficial effects that: compared with the prior art, the transformer noise detection method has the advantages that after the whole area to be detected is divided into a plurality of first square areas, a plurality of primary noise monitors are installed in each first square area, the median of noise data of the whole first square area is calculated through detection data of the primary noise monitors of the smaller first square areas, the corresponding primary noise monitors deviating from the median are set as mark noise monitors, secondary detection noise monitors are further arranged around the positions of the mark noise monitors, and then the noise monitoring of a transformer is carried out on the plurality of first square areas again; through this kind of mode, will wait to detect the regional division position a plurality of first square regions with the help of the square to at each first square regional installation primary noise monitor to whole waiting to detect the region and carry out comprehensive noise detection, and with the help of mark noise monitor and secondary detection noise monitor, carry out secondary detection to the noise abnormal position that waits to detect the region in whole, reach the purpose of accurate monitoring noise data.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a first square area and a second square area according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a first square region according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a second square area according to an embodiment of the present invention.
Wherein, in the figures, the respective reference numerals:
100. a first square region; 110. square grids;
200. a second square region;
300. a primary noise monitor;
400. marking a noise monitor;
500. a secondary detection noise monitor;
600. auxiliary noise monitor;
700. a temporary noise monitor;
800. a region to be detected.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings, which is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and is therefore not to be construed as limiting the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 to fig. 3, a method for detecting noise of a transformer according to the present invention will now be described. A transformer noise detection method, comprising:
dividing the area 800 to be detected into a plurality of equally large square grids 110 to form a plurality of first square areas 100;
a plurality of primary noise monitors 300 are uniformly distributed in each first square area 100; starting each primary noise monitor 300, and calculating the noise data of each primary noise monitor 300 and the median of a plurality of noise data; recording a primary noise monitor 300 with noise data less than one fifth of the median and more than one half of the median as a marker noise monitor 400;
secondary detection noise monitors 500 are arranged on two sides of a single marking noise monitor 400 in the same first square area 100, and each secondary detection noise monitor 500 is respectively positioned between two adjacent primary noise monitors 300; secondary detection noise monitors 500 are arranged among a plurality of marking noise monitors 400 in the same first square area 100, and the secondary detection noise monitors 500 are arranged at intervals and uniformly; a secondary detection noise monitor 500 is arranged at the middle position of two corresponding mark noise monitors 400 at the boundary of two adjacent first square areas 100;
each primary noise monitor 300 and each secondary detection noise monitor 500 are activated to perform secondary noise monitoring, and a first noise pollution area with noise greater than the environmental noise standard is marked according to the noise data.
Compared with the prior art, the transformer noise detection method provided by the invention has the advantages that after the whole area 800 to be detected is divided into a plurality of first square areas 100, a plurality of primary noise monitors 300 are installed in each first square area 100, the median of the noise data of the whole first square area 100 is calculated according to the detection data of the primary noise monitors 300 of each smaller first square area 100, each corresponding primary noise monitor 300 deviating from the median is set as a mark noise monitor 400, secondary detection noise monitors 500 are further arranged around the position of each mark noise monitor 400, and then the noise monitoring of the transformer is carried out on the plurality of first square areas 100 again; in this way, the area 800 to be detected is divided into a plurality of first square areas 100 by the square grids 110, the primary noise monitor 300 is installed in each first square area 100 to perform comprehensive noise detection on the whole area 800 to be detected, and the noise abnormal part of the whole area 800 to be detected is secondarily detected by the marking noise monitor 400 and the secondary detection noise monitor 500, so that the purpose of accurately monitoring noise data is achieved.
The area 800 to be detected is divided into a plurality of first square areas 100 through the electronic map and the square grids 110, so that the operation is more accurate and convenient.
Noise data lower than one fifth of the median and higher than one half of the median are regarded as abnormal data, and the secondary detection noise monitor 500 is further provided around the abnormal data.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, a plurality of auxiliary noise monitors 600 are disposed on a boundary line of two adjacent first square areas 100.
The plurality of first square regions 100 are formed, and a plurality of primary noise monitors 300 are arranged in each first square region 100, so that a vacuum area with a certain distance exists between two adjacent square regions, the primary noise monitors 300 are not arranged in the vacuum area, but the vacuum area is far away from each corresponding first square region 100, and the noise monitoring in the first square regions 100 is not influenced too much.
Therefore, the primary noise monitor 300 is disposed at the boundary between two adjacent first square areas 100, and the data of the primary noise monitor 300 is recorded and observed independently. And the median calculation of the whole region 800 to be detected is not involved, so that the noise monitoring accuracy of the region 800 to be detected is ensured, and the situations of omission and neglect of noise sources can be avoided.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, when calculating the median of a plurality of noise data, the data of each auxiliary noise monitor 600 is ignored; when two corresponding mark noise monitors 400 are present at the boundary of two adjacent first square regions 100, the secondary detection noise monitor 500 is disposed at the center of the triangle formed by the secondary noise monitor 600 and the two primary noise monitors 300.
A plurality of first square areas 100 are formed and a plurality of primary noise monitors 300 are disposed in each first square area 100 in such a manner that a vacuum region having a certain distance exists between two adjacent square areas.
The primary noise monitor 300 is not installed in the vacuum region, but the vacuum region is far from the corresponding first square regions 100, and the noise monitoring in the first square regions 100 is not influenced too much.
Therefore, the primary noise monitor 300 is disposed at the boundary between two adjacent first square areas 100, and the data of the primary noise monitor 300 is recorded and observed independently. And the median calculation of the whole region 800 to be detected is not involved, so that the noise monitoring accuracy of the region 800 to be detected is ensured, and the situations of omission and neglect of noise sources can be avoided.
And by means of the installation and noise monitoring of the auxiliary noise monitor 600, after two corresponding marker noise monitors 400 appear in two adjacent first square areas 100, the installation positions of the two marker noise monitors 400 and the auxiliary noise monitor 600 form a triangular structure.
And then when installing secondary detection noise monitor 500, install this secondary detection noise monitor 500 to the center department of triangle-shaped structure, under this condition, when waiting to detect region 800 and carry out secondary noise detection, can the noise data of analysis processing auxiliary noise monitor 600, two mark noise monitor 400 and secondary detection noise monitor 500, guarantee that the noise detection result of this department's position is more accurate.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, data of the auxiliary noise monitor 600 is recorded; when calculating the median of a plurality of noise data, ignoring the data of each auxiliary noise monitor 600; when two of the marker noise monitors 400 are present at the boundary between two adjacent first square regions 100, the auxiliary noise monitor 600 near two of the primary noise monitors 300 is used as the secondary detection noise monitor 500.
A plurality of first square areas 100 are formed and a plurality of primary noise monitors 300 are disposed in each first square area 100 in such a manner that a vacuum region having a certain distance exists between two adjacent square areas.
The primary noise monitor 300 is not installed in the vacuum region, but the vacuum region is far from the corresponding first square regions 100, and the noise monitoring in the first square regions 100 is not influenced too much.
Therefore, the primary noise monitor 300 is disposed at the boundary between two adjacent first square areas 100, and the data of the primary noise monitor 300 is recorded and observed independently.
After two corresponding mark noise monitors 400 appear in two adjacent first square areas 100, the secondary detection noise monitor 500 needs to be installed, because the auxiliary noise monitor 600 has no influence on calculating the median of the noise data of the area 800 to be detected.
Therefore, the corresponding auxiliary noise monitor 600 is moved to serve as the secondary detection noise monitor 500, and the operation is more convenient and flexible.
In operation, the original installation location of the secondary noise monitor 600 is eliminated and the secondary detection noise monitor 500 is updated and recorded.
Referring to fig. 1 to fig. 3, as an embodiment of the transformer noise detection method provided by the present invention, the method further includes:
dismantling each of the primary noise monitor 300 and the secondary detection noise monitor 500;
dividing the area 800 to be detected again by a plurality of equally-large square grids 110 to form a plurality of second square areas 200; the center of each second square area 200 is located at the center of the corresponding four first square areas 100;
a plurality of primary noise monitors 300 are uniformly distributed in each second square area 200;
starting each primary noise monitor 300, and calculating noise data of each primary noise monitor 300;
marking a second noise pollution area with noise larger than the environmental noise standard according to the noise data;
and the intersection area of the first noise pollution area and the second noise pollution area is a third noise pollution area.
The whole area 800 to be detected is divided by reusing the square grids 110, and the center of each square grid 110 at this time is located at the center of the four rectangular square grids 110 used in the first division, so as to form a plurality of second square areas 200.
A plurality of primary noise monitors 300 are uniformly installed in each second square area 200 to detect noise in the second square area 200.
And marking a second noise pollution area with noise larger than the environmental noise standard by dividing and detecting the noise of the whole area to be detected 800 again for the second time, and recording the intersection area of the first noise pollution area and the second noise pollution area as a third noise pollution area by combining the first noise pollution area detected for the first time.
The third noise pollution area is a noise pollution key area, and in the later period, workers need to perform key processing on the area 800 to be detected where the third noise pollution area is located, noise eliminating equipment or fixed buildings and the like are built, and noise reduction work is enhanced.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, temporary noise monitors 700 are respectively disposed on boundary lines of a plurality of second square areas 200 close to a boundary of the area to be detected 800.
Through the division, the region 800 to be detected is divided again, and the division mode enables a vacuum area to exist at the periphery of the region 800 to be detected.
The vacuum region is a frame-shaped structure and surrounds the plurality of first square regions 100.
A temporary noise monitor 700 is provided in the vacuum region of the frame type, and the noise data of the portion is recorded and observed independently. And the median calculation of the whole region 800 to be detected is not involved, so that the noise monitoring accuracy of the region 800 to be detected is ensured, and the situations of omission and neglect of noise sources can be avoided.
Referring to fig. 1 to fig. 3, as a specific embodiment of the transformer noise detection method provided by the present invention, the areas of the first square area 100 and the second square area 200 are less than or equal to one percent and greater than or equal to three percent of the area to be detected 800.
The area 800 to be detected is divided into one to three hundred first square areas 100 through the square grids 110, so that noise monitoring at each position of the area 800 to be detected is more accurate, and after the noise monitors 300 are installed at each position of the area 800 to be detected, each position in each first square area 100 is monitored.
When the first square regions 100 are less than one hundred, the area of each first square region 100 is large, and the primary noise monitor 300 installed in each first square region 100 is insufficient for comprehensive monitoring.
When the first square regions 100 are more than three hundred, the area of each first square region 100 is small, thereby greatly improving the installation difficulty and labor intensity of workers.
Similarly, the area 800 to be detected is divided into one hundred to three hundred second square areas 200 through the square grids 110, so that noise monitoring at each position of the area 800 to be detected is more accurate, and after the noise monitor 300 is installed at each position of the area 800 to be detected, each position in each second square area 200 is monitored.
When the second square regions 200 are less than one hundred, the area of each second square region 200 is large, and the primary noise monitor 300 installed in each second square region 200 is insufficient for comprehensive monitoring.
When the second square regions 200 are more than three hundred, the area of each second square region 200 is small, thereby greatly improving the installation difficulty and labor intensity of workers.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, for a primary noise monitor 300 disposed in a transformer concentrated installation area, differential noise data monitored by the primary noise monitor 300 is recorded, and when calculating a median of the noise data, the differential noise data is not included.
In the city planning process, an area special for installing the transformer substation exists, and the area is specially used for noise reduction treatment or personnel work or living is reduced.
For such an area, the primary noise monitor 300 is still provided, and the area where the substation is installed is further detected, so that noise pollution to surrounding residential areas or office areas caused by the area where the substation is installed is avoided.
When calculating the median of the noise data of the entire area 800 to be detected, the distinctive noise data of the area where the substation is installed is not considered, avoiding affecting the accuracy of the noise data within the valid first square area 100.
The first noise monitor 300 in the area where the substation is installed collects and records the distinctive noise data, and calculates the distinctive noise data alone, and displays only the noise data of the area where the substation is installed.
A plurality of primary noise monitors 300 are installed at the boundary between the area where the substation is installed and the effective test area of the first square area 100.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method according to the present invention, before secondary detection noise monitors 500 are disposed on both sides of a single marking noise monitor 400 in the same first square area 100, the single marking noise monitor 400 is detected.
In this manner, a false lamp condition due to a failed lamp problem with the marker noise monitor 400 is avoided.
Referring to fig. 1 to 3, as an embodiment of the transformer noise detection method provided by the present invention, each of the first square areas 100 and each of the primary noise monitors 300 are numbered.
The first square area 100 and the primary noise monitor 300 are numbered, so that a worker can accurately install or replace the primary noise monitor 300 at a corresponding position. And the work speed and the work efficiency of the workers are greatly improved.
For example, designating the first square region 100 as AL1R2, the first square region 100 of the first row and the second column in the whole area 800 to be detected is represented, and AL5R6 represents the first square region 100 of the fifth row and the sixth column.
Each primary noise monitor 300 is also numbered with reference to the first square area 100 by the designation L2R3, representing the third primary noise monitor 300 in the second row of a first square area 100. AL10R6L3R3 represents the third row of the third primary noise monitor 300 in the first square area 100 of the tenth row and the sixth column.
Similarly, the second square area 200 is named, and the second square area 200 is named as BL1R2, so that the second square area 200 in the first row and the second column in the whole area 800 to be detected is represented, and BL5R6 represents the second square area 200 in the fifth row and the sixth column.
Each primary noise monitor 300 is also numbered with the designation L2R3 of the second square area 200, representing the second row of the third primary noise monitor 300 within a certain second square area 200. BL10R6L3R3 represents the third row, third primary noise monitor 300 in the second square area 200 of the tenth row and sixth column.
In this way, the corresponding primary noise monitor 300 and the marker noise monitor 400 can be quickly found.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The transformer noise detection method is characterized by comprising the following steps:
dividing the area to be detected in a mode of a plurality of equally large square grids to form a plurality of first square areas;
a plurality of primary noise monitors are uniformly distributed in each first square area; starting each primary noise monitor, and calculating the noise data of each primary noise monitor and the median of a plurality of noise data; recording a primary noise monitor with noise data less than one fifth of the median and more than one half of the median as a marking noise monitor;
secondary detection noise monitors are arranged on two sides of a single marking noise monitor in the same first square area, and each secondary detection noise monitor is respectively positioned between two adjacent primary noise monitors; secondarily detecting noise monitors among a plurality of mark noise monitors in the same first square area, wherein the secondary detecting noise monitors are uniformly distributed at intervals; setting a secondary detection noise monitor at the middle position of two corresponding mark noise monitors at the boundary of two adjacent first square areas;
and starting each primary noise monitor and each secondary detection noise monitor to carry out secondary noise monitoring, and marking a first noise pollution area with noise larger than the environmental noise standard according to the noise data.
2. The transformer noise detection method according to claim 1, wherein a plurality of auxiliary noise monitors are disposed on a boundary line between two adjacent first square areas.
3. The transformer noise detection method of claim 2, wherein the data of each of the auxiliary noise monitors is ignored when calculating the median of the plurality of noise data; when two corresponding mark noise monitors appear at the boundary of two adjacent first square areas, the secondary detection noise monitor is arranged at the center of a triangle formed by the auxiliary noise monitor and the two primary noise monitors.
4. The transformer noise detection method of claim 2, wherein data of the auxiliary noise monitor is recorded; when calculating the median of a plurality of noise data, neglecting the data of each auxiliary noise monitor; and when two corresponding mark noise monitors appear at the boundary of two adjacent first square areas, taking the auxiliary noise monitors close to the two primary noise monitors as secondary detection noise monitors.
5. The transformer noise detection method of claim 1, further comprising:
dismantling each of the primary noise monitor and the secondary detection noise monitor;
dividing the region to be detected again by a plurality of equal-size squares to form a plurality of second square regions; the center of each second square area is positioned at the center of the corresponding four first square areas;
a plurality of primary noise monitors are uniformly distributed in each second square area;
starting each primary noise monitor, and calculating noise data of each primary noise monitor;
marking a second noise pollution area with noise larger than the environmental noise standard according to the noise data;
and the intersection area of the first noise pollution area and the second noise pollution area is a third noise pollution area.
6. The transformer noise detection method according to claim 5, wherein temporary noise monitors are respectively provided on boundary lines of a plurality of the second square areas near the boundary of the area to be detected.
7. The transformer noise detection method according to any one of claims 5 to 6, wherein the areas of the first square region and the second square region are less than or equal to one percent and greater than or equal to three percent of the region to be detected.
8. The transformer noise detection method according to claim 1, wherein for a primary noise monitor provided in a transformer concentrated installation area, distinctive noise data corresponding to monitoring of the primary noise monitor is recorded, and the distinctive noise data is not included in calculating the median of the noise data.
9. The transformer noise detection method of claim 1, wherein the single marking noise monitor is detected before secondary detection noise monitors are disposed on both sides of the single marking noise monitor in the same first square region.
10. The transformer noise detection method of claim 1, wherein each of the first square regions and each of the primary noise monitors are numbered.
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| CN116907636A (en) * | 2023-09-12 | 2023-10-20 | 杭州爱华智能科技有限公司 | Noise monitoring method and device |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004144579A (en) * | 2002-10-23 | 2004-05-20 | National Aerospace Laboratory Of Japan | Sound source survey method and device |
| US20070204697A1 (en) * | 2006-03-06 | 2007-09-06 | Denso Corporation | Ultrasonic sensor having vibrator mounted on substrate |
| CN108414079A (en) * | 2018-03-21 | 2018-08-17 | 广东电网有限责任公司电力科学研究院 | A kind of transformer noise monitoring system |
| CN109405960A (en) * | 2015-11-25 | 2019-03-01 | 南京航空航天大学 | A kind of aircraft noise recognition methods |
| CN109443526A (en) * | 2018-11-09 | 2019-03-08 | 中山大学 | A kind of noise automated monitor point arrangement method based on Noise map |
| CN110851963A (en) * | 2019-10-25 | 2020-02-28 | 西安交通大学 | Casing circumferential arrangement method of blade end timing sensor |
| CN110926597A (en) * | 2019-12-13 | 2020-03-27 | 哈尔滨电机厂有限责任公司 | Method for determining noise abnormal part of steam turbine generator iron core |
| CN111308395A (en) * | 2020-03-24 | 2020-06-19 | 深圳供电局有限公司 | Acoustic imaging device, method, device and system for detecting abnormal sound of transformer |
| CN111722183A (en) * | 2020-06-19 | 2020-09-29 | 钟旭 | Urban noise positioning system and method based on environmental protection |
| CN111780860A (en) * | 2020-08-13 | 2020-10-16 | 国网河南省电力公司电力科学研究院 | Transmission line galloping monitoring system |
-
2021
- 2021-03-31 CN CN202110350055.5A patent/CN113295265B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004144579A (en) * | 2002-10-23 | 2004-05-20 | National Aerospace Laboratory Of Japan | Sound source survey method and device |
| US20070204697A1 (en) * | 2006-03-06 | 2007-09-06 | Denso Corporation | Ultrasonic sensor having vibrator mounted on substrate |
| CN109405960A (en) * | 2015-11-25 | 2019-03-01 | 南京航空航天大学 | A kind of aircraft noise recognition methods |
| CN108414079A (en) * | 2018-03-21 | 2018-08-17 | 广东电网有限责任公司电力科学研究院 | A kind of transformer noise monitoring system |
| CN109443526A (en) * | 2018-11-09 | 2019-03-08 | 中山大学 | A kind of noise automated monitor point arrangement method based on Noise map |
| CN110851963A (en) * | 2019-10-25 | 2020-02-28 | 西安交通大学 | Casing circumferential arrangement method of blade end timing sensor |
| CN110926597A (en) * | 2019-12-13 | 2020-03-27 | 哈尔滨电机厂有限责任公司 | Method for determining noise abnormal part of steam turbine generator iron core |
| CN111308395A (en) * | 2020-03-24 | 2020-06-19 | 深圳供电局有限公司 | Acoustic imaging device, method, device and system for detecting abnormal sound of transformer |
| CN111722183A (en) * | 2020-06-19 | 2020-09-29 | 钟旭 | Urban noise positioning system and method based on environmental protection |
| CN111780860A (en) * | 2020-08-13 | 2020-10-16 | 国网河南省电力公司电力科学研究院 | Transmission line galloping monitoring system |
Non-Patent Citations (4)
| Title |
|---|
| ZHOU Z等: "《Corrosion Detection and Analysis of the Underground Grounding Grid in a 220kv Transformer Substation》", 《DESTECH TRANSACTIONS ON ENVIRONMENT ENERGY AND EARTH SCIENCE》, 31 December 2018 (2018-12-31), pages 1 - 4 * |
| 王莹等: "《750kV变电站噪声测量与特性分析》", 《西安工程大学学报》, vol. 33, no. 5, 30 October 2019 (2019-10-30), pages 524 - 530 * |
| 邵宇鹰等: "《基于近场声全息的电力变压器噪声源识别系统》", 《华东电力》, vol. 42, no. 12, 31 December 2014 (2014-12-31), pages 2522 - 2524 * |
| 陈传敏等: "《220kV电力变压器辐射噪声特性仿真分析》", 《电力学报》, vol. 35, no. 6, 31 December 2020 (2020-12-31), pages 515 - 521 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116907636A (en) * | 2023-09-12 | 2023-10-20 | 杭州爱华智能科技有限公司 | Noise monitoring method and device |
| CN116907636B (en) * | 2023-09-12 | 2023-12-19 | 杭州爱华智能科技有限公司 | Noise monitoring method and device |
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