CN111337773A - Transformer fault remote monitoring system and monitoring method - Google Patents
Transformer fault remote monitoring system and monitoring method Download PDFInfo
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- CN111337773A CN111337773A CN202010191186.9A CN202010191186A CN111337773A CN 111337773 A CN111337773 A CN 111337773A CN 202010191186 A CN202010191186 A CN 202010191186A CN 111337773 A CN111337773 A CN 111337773A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 30
- 230000008054 signal transmission Effects 0.000 claims abstract description 8
- 238000001514 detection method Methods 0.000 claims description 21
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000003745 diagnosis Methods 0.000 claims description 12
- 230000005236 sound signal Effects 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000009466 transformation Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
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- 230000004075 alteration Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
Abstract
The invention discloses a transformer fault remote monitoring system and a monitoring method, the monitoring system comprises a central processing unit, a voltage acquisition module, a current acquisition module, an infrared thermal imager and a sensor group, the intelligent monitoring system comprises a sound collection array and a signal transmission module, wherein the voltage collection module, the current collection module, the infrared thermal imager and the sensor group are respectively connected with a central processing unit, the sensor group is connected with the central processing unit through a sensing signal collection unit, the sound collection array is connected with the central processing unit through a sound data sending module, and the central processing unit is connected with a background monitoring center through a signal transmission module.
Description
Technical Field
The invention relates to the technical field of transformer monitoring, in particular to a transformer fault remote monitoring system and a monitoring method.
Background
A Transformer (Transformer) is a device that changes an alternating-current voltage by using the principle of electromagnetic induction, and main components are a primary coil, a secondary coil, and an iron core (magnetic core). The main functions are as follows: voltage transformation, current transformation, impedance transformation, isolation, voltage stabilization (magnetic saturation transformer), and the like. According to the application, the method can be divided into: power transformers and special transformers (furnace transformers, rectification transformers, power frequency test transformers, voltage regulators, mining transformers, audio transformers, intermediate frequency transformers, high frequency transformers, impact transformers, instrument transformers, electronic transformers, reactors, mutual inductors, etc.).
The transformer is prone to failure after long-time operation, and the current monitoring is generally performed through manual detection and judgment, and the failure monitoring efficiency is low, so that improvement is needed.
Disclosure of Invention
The invention aims to provide a transformer fault remote monitoring system and a monitoring method, which aim to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a transformer trouble remote monitering system, monitored control system include central processing unit, voltage acquisition module, current acquisition module, infrared thermal imager, sensor group, sound collection array, alarm module, fault database module and signal transmission module, voltage acquisition module, current acquisition module, infrared thermal imager, sensor group connect central processing unit respectively, sensor group passes through sensing signal acquisition unit connection central processing unit, sound collection array passes through sound data sending module and connects the diagnosis monitoring database, the diagnosis monitoring database connects central processing unit, alarm module, fault database module connect central processing unit respectively, central processing unit passes through signal transmission module and connects backstage surveillance center.
Preferably, the sensor group comprises an oil leakage detection sensor, a vibration sensor, a gas detection sensor and a noise sensor, and the oil leakage detection sensor is mounted at the bottom of the transformer oil tank and used for detecting an oil leakage signal; the vibration sensor is arranged on the outer wall of the transformer oil tank and used for detecting an abnormal vibration signal; the gas detection sensor is arranged in the transformer and used for detecting a concentration signal of released gas; the noise sensor is arranged on the outer wall of the transformer and used for detecting noise intensity signals generated when the transformer works.
Preferably, the diagnosis monitoring database comprises a voiceprint sample database, a data receiving unit, a voiceprint extraction module and a feature comparison module; the data receiving module is used for receiving sound signals of the working environment of the transformer; the voiceprint extraction module is used for extracting voiceprint characteristic data of the transformer in operation from the environmental sound signal; the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result.
Preferably, the monitoring method comprises the following steps:
A. firstly, a voltage acquisition module and a current acquisition module respectively acquire working voltage and working current of a transformer, and an infrared thermal imager acquires a temperature signal of the transformer during working; the working voltage, the current signal and the working temperature signal are transmitted to the central processing unit in real time;
B. the sensor group collects various sensing signals of the transformer during working, and the collected sensing signals are transmitted to the central processing unit through the sensing signal collecting unit;
C. in addition, the sound acquisition array acquires a sound signal of the transformer during working and transmits the sound signal to the diagnosis server, and the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result;
D. once the abnormal signal is monitored, the fault point is immediately positioned, fault data is simultaneously collected, an alarm signal is sent out, and meanwhile, the fault signal is transmitted to a background monitoring center in real time for technicians to analyze and judge.
Compared with the prior art, the invention has the beneficial effects that:
(1) the transformer fault detection system is simple in working principle and high in intelligent degree, can acquire the working state of the transformer in real time, can immediately perform fault location once abnormity is monitored, and simultaneously transmits a fault signal to a background monitoring center in real time, so that the maintenance efficiency is improved.
(2) The invention can monitor the working voltage, current, temperature, oil leakage, abnormal gas release, abnormal vibration and abnormal noise of the transformer in real time, effectively ensure the safety of the transformer and put an end to potential safety hazards.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: a transformer fault remote monitoring system comprises a central processing unit 1, a voltage acquisition module 2, a current acquisition module 3, an infrared thermal imager 4, a sensor group, a sound acquisition array 5, an alarm module 6, a fault database module 7 and a signal transmission module 8, the voltage acquisition module 2, the current acquisition module 3, the infrared thermal imager 4 and the sensor group are respectively connected with the central processing unit 1, the sensor group is connected with the central processing unit 1 through a sensing signal acquisition unit 9, the sound acquisition array 5 is connected with a diagnosis monitoring database 11 through a sound data transmission module 10, the diagnosis monitoring database 11 is connected with the central processing unit 1, the alarm module 6 and the fault database module 7 are respectively connected with the central processing unit 1, and the central processing unit 1 is connected with the background monitoring center 12 through the signal transmission module 8.
In the invention, the sensor group comprises an oil leakage detection sensor 13, a vibration sensor 14, a gas detection sensor 15 and a noise sensor 16, wherein the oil leakage detection sensor 13 is arranged at the bottom of a transformer oil tank for detecting an oil leakage signal; the vibration sensor 14 is arranged on the outer wall of the transformer oil tank and used for detecting abnormal vibration signals; the gas detection sensor 15 is installed inside the transformer to detect a concentration signal of the released gas; the noise sensor 16 is mounted on the outer wall of the transformer for detecting the intensity signal of the noise generated by the transformer during operation.
In the invention, the diagnosis and monitoring database 11 comprises a voiceprint sample database 17, a data receiving unit 18, a voiceprint extracting module 19 and a characteristic comparison module 20; the data receiving module 18 is used for receiving sound signals of the working environment of the transformer; the voiceprint extraction module is used for extracting voiceprint characteristic data of the transformer in operation from the environmental sound signal; the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result. When the transformer works and operates, various sounds are generated, some sounds are generated when the transformer normally operates, and some sounds are generated when the transformer has certain faults, so that the state of the transformer can be judged based on the processing experience of various fault overhauls.
The working principle is as follows: the monitoring method comprises the following steps:
A. firstly, a voltage acquisition module and a current acquisition module respectively acquire working voltage and working current of a transformer, and an infrared thermal imager acquires a temperature signal of the transformer during working; the working voltage, the current signal and the working temperature signal are transmitted to the central processing unit in real time;
B. the sensor group collects various sensing signals of the transformer during working, and the collected sensing signals are transmitted to the central processing unit through the sensing signal collecting unit;
C. in addition, the sound acquisition array acquires a sound signal of the transformer during working and transmits the sound signal to the diagnosis server, and the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result;
D. once the abnormal signal is monitored, the fault point is immediately positioned, fault data is simultaneously collected, an alarm signal is sent out, and meanwhile, the fault signal is transmitted to a background monitoring center in real time for technicians to analyze and judge.
The invention can monitor the working voltage, current, temperature, oil leakage, abnormal gas release, abnormal vibration and abnormal noise of the transformer in real time, effectively ensure the safety of the transformer and put an end to potential safety hazards.
In conclusion, the transformer fault detection system has the advantages of simple working principle and high intelligent degree, can acquire the working state of the transformer in real time, can immediately perform fault location once abnormity is monitored, and simultaneously transmits a fault signal to the background monitoring center in real time, so that the maintenance efficiency is improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. A transformer fault remote monitoring system is characterized in that: the monitoring system comprises a central processing unit (1), a voltage acquisition module (2), a current acquisition module (3), an infrared thermal imager (4), a sensor group, a sound acquisition array (5), an alarm module (6), a fault database module (7) and a signal transmission module (8), wherein the voltage acquisition module (2), the current acquisition module (3), the infrared thermal imager (4) and the sensor group are respectively connected with the central processing unit (1), the sensor group is connected with the central processing unit (1) through a sensing signal acquisition unit (9), the sound acquisition array (5) is connected with a diagnosis and monitoring database (11) through a sound data transmission module (10), the diagnosis and monitoring database (11) is connected with the central processing unit (1), the alarm module (6) and the fault database module (7) are respectively connected with the central processing unit (1), the central processing unit (1) is connected with the background monitoring center (12) through the signal transmission module (8).
2. The transformer fault remote monitoring system according to claim 1, wherein: the sensor group comprises an oil leakage detection sensor (13), a vibration sensor (14), a gas detection sensor (15) and a noise sensor (16), wherein the oil leakage detection sensor (13) is arranged at the bottom of a transformer oil tank and used for detecting an oil leakage signal; the vibration sensor (14) is arranged on the outer wall of the transformer oil tank and used for detecting an abnormal vibration signal; the gas detection sensor (15) is arranged inside the transformer and used for detecting a concentration signal of released gas; the noise sensor (16) is arranged on the outer wall of the transformer and used for detecting a noise intensity signal generated when the transformer works.
3. The transformer fault remote monitoring system according to claim 1, wherein: the diagnosis monitoring database (11) comprises a voiceprint sample database (17), a data receiving unit (18), a voiceprint extracting module (19) and a feature comparing module (20); the data receiving module (18) is used for receiving sound signals of the working environment of the transformer; the voiceprint extraction module is used for extracting voiceprint characteristic data of the transformer in operation from the environmental sound signal; the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result.
4. The monitoring method for realizing the transformer fault remote monitoring system of claim 1 is characterized in that: the monitoring method comprises the following steps:
A. firstly, a voltage acquisition module and a current acquisition module respectively acquire working voltage and working current of a transformer, and an infrared thermal imager acquires a temperature signal of the transformer during working; the working voltage, the current signal and the working temperature signal are transmitted to the central processing unit in real time;
B. the sensor group collects various sensing signals of the transformer during working, and the collected sensing signals are transmitted to the central processing unit through the sensing signal collecting unit;
C. in addition, the sound acquisition array acquires a sound signal of the transformer during working and transmits the sound signal to the diagnosis server, and the characteristic comparison module is used for comparing and analyzing the voiceprint characteristic data with a voiceprint sample database to obtain a detection result;
D. once the abnormal signal is monitored, the fault point is immediately positioned, fault data is simultaneously collected, an alarm signal is sent out, and meanwhile, the fault signal is transmitted to a background monitoring center in real time for technicians to analyze and judge.
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| CN202010191186.9A CN111337773A (en) | 2020-03-18 | 2020-03-18 | Transformer fault remote monitoring system and monitoring method |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112197977A (en) * | 2020-09-17 | 2021-01-08 | 浙江交通职业技术学院 | Real-time monitoring system for airplane fault detection |
| CN112272103A (en) * | 2020-09-11 | 2021-01-26 | 苏州浪潮智能科技有限公司 | Server fault remote monitoring system and monitoring method |
| CN112484758A (en) * | 2020-11-27 | 2021-03-12 | 内蒙古电力（集团）有限责任公司乌兰察布电业局 | Application of MEMS-based targeted gas-sensitive optical fiber sensing in state detection of oil-poor equipment |
| CN112562698A (en) * | 2020-12-02 | 2021-03-26 | 国网山西省电力公司大同供电公司 | Power equipment defect diagnosis method based on fusion of sound source information and thermal imaging characteristics |
| CN113124929A (en) * | 2021-04-13 | 2021-07-16 | 国网陕西省电力公司铜川供电公司 | Transformer substation multi-parameter signal acquisition comprehensive analysis system and method |
| CN113296441A (en) * | 2021-05-24 | 2021-08-24 | 深圳市邦世迅电力科技有限公司 | Remote intelligent integrated central monitor system |
| CN113433924A (en) * | 2021-06-05 | 2021-09-24 | 潍坊鼎晟电气科技有限公司 | Remote diagnosis system and method for medium-frequency electric furnace |
| CN113970357A (en) * | 2021-11-30 | 2022-01-25 | 河南职业技术学院 | Power switch cabinet detection circuit based on Internet of things |
| CN114167315A (en) * | 2021-11-18 | 2022-03-11 | 广东亿嘉和科技有限公司 | Intelligent online monitoring system and method for transformer |
| CN114994437A (en) * | 2022-05-25 | 2022-09-02 | 王新华 | Fault detection method and system for power equipment |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014135015A1 (en) * | 2013-03-07 | 2014-09-12 | 国网安徽省电力公司芜湖供电公司 | Network for online monitoring of power transformer at intelligent substation |
| CN105223453A (en) * | 2015-11-03 | 2016-01-06 | 广东电网有限责任公司佛山供电局 | Based on substation transformer trouble-shooter and the method for multiple attribute synthetical evaluation |
| CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
| CN107607157A (en) * | 2017-09-15 | 2018-01-19 | 石家庄铁道大学 | Transformer detecting system |
| CN108155721A (en) * | 2018-02-02 | 2018-06-12 | 杭州佳和电气股份有限公司 | A kind of distribution transformer intelligent monitor system and method |
| CN109029582A (en) * | 2018-08-17 | 2018-12-18 | 国网江苏省电力有限公司盐城供电分公司 | A kind of Power Transformer Faults on-line detecting system based on many kinds of parameters acquisition |
| CN109557412A (en) * | 2018-11-27 | 2019-04-02 | 华翔翔能电气股份有限公司 | A kind of method for recognizing sound-groove and system of transformer fault |
| CN110634493A (en) * | 2019-09-09 | 2019-12-31 | 国网湖南省电力有限公司 | Transformer state identification method, system and medium based on voiceprint image characteristics |
| CN110873604A (en) * | 2019-11-21 | 2020-03-10 | 上海欣影电力科技股份有限公司 | Transformer noise vibration on-line monitoring system |
-
2020
- 2020-03-18 CN CN202010191186.9A patent/CN111337773A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014135015A1 (en) * | 2013-03-07 | 2014-09-12 | 国网安徽省电力公司芜湖供电公司 | Network for online monitoring of power transformer at intelligent substation |
| CN105223453A (en) * | 2015-11-03 | 2016-01-06 | 广东电网有限责任公司佛山供电局 | Based on substation transformer trouble-shooter and the method for multiple attribute synthetical evaluation |
| CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
| CN107607157A (en) * | 2017-09-15 | 2018-01-19 | 石家庄铁道大学 | Transformer detecting system |
| CN108155721A (en) * | 2018-02-02 | 2018-06-12 | 杭州佳和电气股份有限公司 | A kind of distribution transformer intelligent monitor system and method |
| CN109029582A (en) * | 2018-08-17 | 2018-12-18 | 国网江苏省电力有限公司盐城供电分公司 | A kind of Power Transformer Faults on-line detecting system based on many kinds of parameters acquisition |
| CN109557412A (en) * | 2018-11-27 | 2019-04-02 | 华翔翔能电气股份有限公司 | A kind of method for recognizing sound-groove and system of transformer fault |
| CN110634493A (en) * | 2019-09-09 | 2019-12-31 | 国网湖南省电力有限公司 | Transformer state identification method, system and medium based on voiceprint image characteristics |
| CN110873604A (en) * | 2019-11-21 | 2020-03-10 | 上海欣影电力科技股份有限公司 | Transformer noise vibration on-line monitoring system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112272103A (en) * | 2020-09-11 | 2021-01-26 | 苏州浪潮智能科技有限公司 | Server fault remote monitoring system and monitoring method |
| CN112197977A (en) * | 2020-09-17 | 2021-01-08 | 浙江交通职业技术学院 | Real-time monitoring system for airplane fault detection |
| CN112484758A (en) * | 2020-11-27 | 2021-03-12 | 内蒙古电力（集团）有限责任公司乌兰察布电业局 | Application of MEMS-based targeted gas-sensitive optical fiber sensing in state detection of oil-poor equipment |
| CN112562698A (en) * | 2020-12-02 | 2021-03-26 | 国网山西省电力公司大同供电公司 | Power equipment defect diagnosis method based on fusion of sound source information and thermal imaging characteristics |
| CN112562698B (en) * | 2020-12-02 | 2022-11-04 | 国网山西省电力公司大同供电公司 | Power equipment defect diagnosis method based on fusion of sound source information and thermal imaging characteristics |
| CN113124929A (en) * | 2021-04-13 | 2021-07-16 | 国网陕西省电力公司铜川供电公司 | Transformer substation multi-parameter signal acquisition comprehensive analysis system and method |
| CN113296441A (en) * | 2021-05-24 | 2021-08-24 | 深圳市邦世迅电力科技有限公司 | Remote intelligent integrated central monitor system |
| CN113433924A (en) * | 2021-06-05 | 2021-09-24 | 潍坊鼎晟电气科技有限公司 | Remote diagnosis system and method for medium-frequency electric furnace |
| CN114167315A (en) * | 2021-11-18 | 2022-03-11 | 广东亿嘉和科技有限公司 | Intelligent online monitoring system and method for transformer |
| CN113970357A (en) * | 2021-11-30 | 2022-01-25 | 河南职业技术学院 | Power switch cabinet detection circuit based on Internet of things |
| CN114994437A (en) * | 2022-05-25 | 2022-09-02 | 王新华 | Fault detection method and system for power equipment |
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Application publication date: 20200626 |