CN114112005A - An online monitor for abnormal noise of substation equipment - Google Patents
An online monitor for abnormal noise of substation equipment Download PDFInfo
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- CN114112005A CN114112005A CN202111271813.0A CN202111271813A CN114112005A CN 114112005 A CN114112005 A CN 114112005A CN 202111271813 A CN202111271813 A CN 202111271813A CN 114112005 A CN114112005 A CN 114112005A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
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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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Abstract
The invention discloses an abnormal sound online monitor for transformer substation equipment, which comprises a microphone sensor, a raspberry group 4B and a wireless module, wherein the microphone sensor is arranged in a transformer substation, acquires a sound signal in the power station, converts the sound signal into an electric signal and sends the electric signal to the raspberry group 4B, and the raspberry group 4B filters the electric signal and sends the electric signal to the wireless module; the wireless module is connected with the mobile phone terminal through remote signals. This monitor passes through the operation sound of microphone sensor collection substation equipment, and convert sound signal into the signal of telecommunication, the raspberry is sent 4B and is received the signal of telecommunication of microphone sensor, and carry out noise reduction treatment to the signal of telecommunication through software filtering algorithm, then the raspberry is sent 4B with final data and is sent the mobile terminal APP of fortune dimension personnel through wireless module, fortune dimension personnel come the running state of analysis judgement equipment through the operation sound of transferring equipment, realize substation equipment running state's on-line monitoring function.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to an abnormal sound online monitor for substation equipment.
Background
Since the twenty-first century, the popularization of household appliances and various electronic devices causes the annual power consumption of residents in China to increase year by year, which not only has greater demand on the power generation amount of a power grid, but also is a great challenge to the safe and stable operation of the power grid. As an important component of the safety and stability of a power grid, the routing inspection of a transformer substation is of great importance, and at present, China mainly adopts a remote centralized monitoring mode to realize the monitoring management of the transformer substation in cooperation with the regular routing inspection of operators. However, in the operation of the equipment, most of the monitoring and protecting devices in the transformer substation acquire electrical parameters, calculate and analyze the defects of the equipment and finally report the defects to the regulation and control center. And some defects can not be monitored through electrical parameters, the defects need on-site inspection by operators, and whether the equipment has the defects of insulation and the like is judged by monitoring the operation sound of the equipment manually. Due to the periodic characteristic of routing inspection, the defects which cannot be monitored and reported to the regulation and control center cannot be found in time, so that the defects of the transformer substation equipment are further expanded, and finally power failure is caused. Therefore, it is necessary to find a method for monitoring the operation sound of the substation equipment and reporting the collected abnormal sound to the relevant operators in time so as to make up the deficiency of the centralized monitoring and periodic inspection operation mode of the substation.
With the development of electronic technology, electronic sensors and electronic circuits are used in many industries to assist people in completing various tasks. Therefore, the invention provides a transformer substation equipment abnormal sound monitor. Firstly, various sounds generated by the operation of the substation equipment are collected through a microphone, then, the collected sounds are amplified, filtered and judged through algorithms through software and hardware of an electronic circuit, when abnormal sound of the equipment is analyzed, relevant alarm information is sent to an operator, and after the operator receives the alarm information, the monitor can be remotely controlled through a mobile phone, the abnormal sound of the equipment is called or the abnormal sound of the equipment is heard manually in real time, so that the final judgment of the operation state of the substation equipment is completed.
The monitoring mode of the abnormal noise non-electrical parameters during the operation of the equipment can effectively avoid the defect that the equipment cannot be monitored by the electrical parameter monitoring equipment, and can also reduce the defect expansion caused by incomplete manual inspection, so that the research on the abnormal noise monitor of the substation equipment is especially important.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an abnormal sound online monitor for transformer substation equipment, wherein a microphone sensor is used for collecting operation sound of the transformer substation equipment and converting a sound signal into an electric signal, a raspberry group 4B is used for receiving the electric signal of the microphone sensor and carrying out noise reduction processing on the electric signal through a software filtering algorithm, then the raspberry group 4B is used for sending final data to a mobile phone terminal APP of an operation and maintenance worker through a wireless module, and the operation and maintenance worker analyzes and judges the operation state of the equipment by calling the operation sound of the equipment, so that the online monitoring function of the operation state of the transformer substation equipment is realized.
An abnormal sound online monitor of transformer substation equipment comprises a microphone sensor, a raspberry group 4B and a wireless module, wherein the microphone sensor is arranged in a transformer substation, acquires a sound signal in the power station, converts the sound signal into an electric signal and sends the electric signal to the raspberry group 4B, and the raspberry group 4B filters the electric signal and sends the electric signal to the wireless module; the wireless module is connected with the mobile phone terminal through remote signals.
Moreover, the microphone sensor adopts a first-class SASTOK-81B microphone sensor, and the microphone sensor is in electric signal connection with the raspberry pi 4B through a USB1 interface.
Moreover, the wireless module adopts an EC20 wireless module, and the EC20 wireless module is in electric signal connection with the raspberry pi 4B through a USB2 interface.
The invention has the advantages and technical effects that:
1) the invention provides a method for monitoring the running state of the substation equipment by using a microphone sensor to acquire a non-electrical parameter of abnormal sound of the substation equipment, and effectively solves the problem that the running state of the substation equipment cannot be fully covered by a common electrical parameter monitor.
2) The invention provides a method for monitoring abnormal sound of transformer substation equipment, which can communicate with the abnormal sound monitor of the transformer substation equipment by using a mobile phone application, and can be used for calling and monitoring the abnormal sound of the transformer substation equipment in real time by operation and maintenance personnel, so that the judgment of the running state of the transformer substation equipment can be completed as soon as possible manually, a disposal scheme can be formulated quickly, and power failure accidents caused by further expansion of defects can be prevented.
3) According to the invention, the signal time domain is converted into the frequency domain through the Fourier transform for analysis and calculation, whether the transformer substation equipment is abnormal or not is judged, the station patrol times of operators are reduced, and the remote monitoring efficiency of the transformer substation is improved.
Drawings
Fig. 1 is a schematic diagram of system connection of the abnormal sound on-line monitor of the substation equipment in the invention.
Detailed Description
For a further understanding of the contents, features and effects of the present invention, reference will now be made to the following examples, which are to be considered in conjunction with the accompanying drawings. It should be noted that the present embodiment is illustrative, not restrictive, and the scope of the invention should not be limited thereby.
An abnormal sound online monitor of transformer substation equipment comprises a microphone sensor, a raspberry group 4B and a wireless module, wherein the microphone sensor is arranged in a transformer substation, acquires a sound signal in the power station, converts the sound signal into an electric signal and sends the electric signal to the raspberry group 4B, and the raspberry group 4B filters the electric signal and sends the electric signal to the wireless module; the wireless module is connected with the mobile phone terminal through remote signals.
Moreover, the microphone sensor adopts a first-class SASTOK-81B microphone sensor, and the microphone sensor is in electric signal connection with the raspberry pi 4B through a USB1 interface.
Moreover, the wireless module adopts an EC20 wireless module, and the EC20 wireless module is in electric signal connection with the raspberry pi 4B through a USB2 interface.
In addition, the invention preferably adopts the mature products in the prior art as the SASTOK-81B microphone sensor, the raspberry pi 4B and the wireless module EC 20.
To more clearly describe the specific embodiments of the present application, an example is provided below:
according to the abnormal sound online monitor for the substation equipment, the mobile phone terminal APP can be in interactive communication with the detector through 4G wireless communication. The SASTOK-81B microphone sensor converts sound signals of substation equipment into electric signals, the electric signals are connected with the raspberry group 4B through a USB1 interface, the electric signals are sent to the raspberry group 4B, the raspberry group 4B performs software filtering and calculation processing on the received electric signals, the raspberry group 4B is connected with the EC20 wireless module through a USB2 interface, alarm information is sent to the EC20 wireless module, and the EC20 wireless module sends the mobile phone terminal APP to operation and maintenance personnel through wireless communication. Operation and maintenance personnel can realize the real-time online monitoring of the running sound of the substation equipment by operating the mobile phone APP.
The invention aims to solve the technical problem of designing an abnormal sound online monitor for substation equipment. The system connection diagram of the detector is shown in fig. 1:
the operation method for realizing the abnormal sound online monitor of the substation equipment by the detector is as follows:
(1) the operation and maintenance personnel operate the mobile phone APP to remotely start the abnormal sound online detector of the substation equipment through wireless communication.
(2) The wireless module sends the received control command to the raspberry pi 4B, and the raspberry pi 4B controls the microphone sensor to collect the operation sound of the equipment.
(3) Raspberry group 4B is as the core part of whole detector, after receiving the sound signal of microphone sensor, can carry out noise reduction to the signal through software filtering algorithm, then convert the signal from the time domain into the frequency domain through Fourier transform and carry out analysis calculation to compare with the threshold value and whether it is unusual to detect sound data, if find unusual, can send alarm information to fortune dimension personnel's cell-phone APP immediately.
(4) After the operation and maintenance personnel can receive the alarm information through the mobile phone APP, the sound of the site can be remotely called, and after the sound is determined to be abnormal through manual judgment, the operation and maintenance personnel can quickly respond and timely arrive at the site for defect treatment. In addition, operation and maintenance personnel can call the operation sound of the field equipment at any time and any place, and real-time online monitoring of the substation equipment is realized.
Finally, the invention adopts the mature products and the mature technical means in the prior art.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (3)
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111271813.0A CN114112005A (en) | 2021-10-28 | 2021-10-28 | An online monitor for abnormal noise of substation equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111271813.0A CN114112005A (en) | 2021-10-28 | 2021-10-28 | An online monitor for abnormal noise of substation equipment |
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| CN114112005A true CN114112005A (en) | 2022-03-01 |
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| CN202111271813.0A Pending CN114112005A (en) | 2021-10-28 | 2021-10-28 | An online monitor for abnormal noise of substation equipment |
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Citations (7)
| 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 |
| CN104316847A (en) * | 2014-09-16 | 2015-01-28 | 国家电网公司 | On-line monitoring and positioning system for partial discharge of transformer station |
| CN106063065A (en) * | 2013-12-31 | 2016-10-26 | 西门子公司 | Devices and methods for arc fault detection |
| CN109342870A (en) * | 2018-11-15 | 2019-02-15 | 贵州电网有限责任公司 | A fault diagnosis device applied to 10KV distribution network transformer |
| CN109406965A (en) * | 2018-11-16 | 2019-03-01 | 国网江苏省电力有限公司盐城供电分公司 | A kind of partial discharge detecting system and its detection method based on sound signal collecting |
| CN112289341A (en) * | 2020-11-03 | 2021-01-29 | 国网智能科技股份有限公司 | Sound abnormity identification method and system for transformer substation equipment |
| CN112345979A (en) * | 2020-10-29 | 2021-02-09 | 国网江苏省电力有限公司盐城供电分公司 | Transformer fault detection system |
-
2021
- 2021-10-28 CN CN202111271813.0A patent/CN114112005A/en active Pending
Patent Citations (7)
| 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 |
| CN106063065A (en) * | 2013-12-31 | 2016-10-26 | 西门子公司 | Devices and methods for arc fault detection |
| CN104316847A (en) * | 2014-09-16 | 2015-01-28 | 国家电网公司 | On-line monitoring and positioning system for partial discharge of transformer station |
| CN109342870A (en) * | 2018-11-15 | 2019-02-15 | 贵州电网有限责任公司 | A fault diagnosis device applied to 10KV distribution network transformer |
| CN109406965A (en) * | 2018-11-16 | 2019-03-01 | 国网江苏省电力有限公司盐城供电分公司 | A kind of partial discharge detecting system and its detection method based on sound signal collecting |
| CN112345979A (en) * | 2020-10-29 | 2021-02-09 | 国网江苏省电力有限公司盐城供电分公司 | Transformer fault detection system |
| CN112289341A (en) * | 2020-11-03 | 2021-01-29 | 国网智能科技股份有限公司 | Sound abnormity identification method and system for transformer substation equipment |
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