CN106707890A - Power transformer fault diagnosis system based on Internet of Things - Google Patents
Power transformer fault diagnosis system based on Internet of Things Download PDFInfo
- Publication number
- CN106707890A CN106707890A CN201710086198.3A CN201710086198A CN106707890A CN 106707890 A CN106707890 A CN 106707890A CN 201710086198 A CN201710086198 A CN 201710086198A CN 106707890 A CN106707890 A CN 106707890A
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- internet
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- power transformer
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24036—Test signal generated by microprocessor, for all I-O tests
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Feeding And Controlling Fuel (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
Abstract
The invention discloses a power transformer fault diagnosis system based on Internet of Things and relates to the technical field of transformer fault diagnosis. The power transformer fault diagnosis system based on the Internet of Things comprises a current sensor, a voltage sensor, a temperature sensor, a humidity sensor, a data acquisition unit, an A/D (Analogue/Digital) conversion unit, a filter, a wireless communication unit, a sample feeding unit, a micro-processing system, a fault diagnosis unit, a result display unit, a driving unit and an alarming unit. According to the power transformer fault diagnosis system based on the Internet of Things, disclosed by the invention, all-directional fault detection on a power transformer is realized; the fault detection comprises detection of current, voltage, gas, humidity and temperature of a transformer; detected data is complete and specific information of transformer faults is convenient to know; fault detection and fault alarming of the transformer are effectively realized; the diagnosis efficiency is greatly improved; the occurrence of dangerous accidents is reduced and the working efficiency is improved.
Description
Technical field
The present invention relates to transformer fault diagnosis technical field, specially a kind of Power Transformer Faults based on Internet of Things
Diagnostic system.
Background technology
As the quick and stable development of national economy, the demand to electric energy are increased rapidly, power transformer is electric power
The hub device of system, is one of main and expensive equipment in power system, and its operational reliability is directly connected to electric power
The safety and stablization of system, compared with generator, due to there is no moving element, and have outward arrester etc. to protect, and evil is again
Gas, differential and ground connection etc. fills protection, is reliable.The grade of system voltage is higher, and capacity is bigger, electrical equipment
The probability of generation accident is also bigger, so the failure to be carried out to power transformer carries out real-time diagnosis, existing electric power becomes
The data of depressor fault diagnosis system detection are not perfect enough, it is impossible to recognize than more comprehensive parameter information, and cannot be accurate
Analysis transformer failure cause, this will result in delay maintenance time, cause than larger loss, therefore, it is proposed that
A kind of diagnosing fault of power transformer system based on Internet of Things.
The content of the invention
It is above-mentioned to solve it is an object of the invention to provide a kind of diagnosing fault of power transformer system based on Internet of Things
The data of the existing diagnosing fault of power transformer system detectio proposed in background technology are not perfect enough, it is impossible to recognize and compare
Comprehensive parameter information, and the failure cause of transformer cannot be accurately analyzed, this will result in delay maintenance time, causes
Than the problem of larger loss.
To achieve the above object, the present invention provides following technical scheme：A kind of Power Transformer Faults based on Internet of Things
Diagnostic system, should be based on the diagnosing fault of power transformer system of Internet of Things includes that current sensor, voltage sensor, temperature are passed
Sensor, humidity sensor, data acquisition unit, A/D converting units, wave filter, radio communication unit, sample injection unit, air-flow control
Unit processed, density of hydrogen detection unit, hydrogen flame detection unit, microprocessing systems, failure diagnosis unit, result display unit, drive
Moving cell and alarm unit；
Transformer is detected by the current sensor, voltage sensor, temperature sensor and humidity sensor respectively
Electric current, voltage, temperature and humidity, current sensor, voltage sensor, temperature sensor are gathered by the data acquisition unit
The data detected with humidity sensor, the A/D converting units carry out numeral to the data that the data acquisition unit is gathered
Signal is changed to the signal of analog signal, and the wave filter is carried out effectively to the frequency beyond the frequency of CF or the frequency
Filter, obtain a power supply signal for CF, be wirelessly transferred the data message of detection by the radio communication unit
To microprocessing systems, the gas information of transformer is gathered by the sample injection unit, be described by the flow control units
Sample injection unit provides the carrier gas of stabilization, and density of hydrogen detection unit is used to detect the density of hydrogen of gas, and the hydrogen flame detection is single
Be wirelessly transferred for the gas information of detection by the radio communication unit for the air-flow of detection to be converted to electric signal by unit
To microprocessing systems, fault diagnosis is made according to the data message of detection by the failure diagnosis unit, and by diagnostic result
Microprocessing systems are fed back to, if there is equipment fault problem, drives alarm unit to be alarmed by the driver element, passed through
The result display unit shows testing result.
Preferably, connected by signal amplification unit between the data acquisition unit and A/D converting units, the signal
Amplifying unit is used to be amplified the data-signal for detecting.
Preferably, the sample injection unit includes transformer oil recovery valve, oscillator and injector, and oil sample is gathered from transformer,
Vibrate in the oscillator and be dissolved in mixed gaseous therein.
Preferably, the flow control units include pressure-reducing valve, switch valve and pressure maintaining valve.
Preferably, the hydrogen flame detection unit includes conversion stove, chromatographic column, hydrogen flame ionization detector and detection circuit,
The chromatographic column is used to separate each component in mixed gas sample, and the detection circuit is used for the place to air-flow electric signal
Reason.
Preferably, the alarm unit is audible-visual annunciator.
Preferably, the result display unit includes display screen and printer.
Compared with prior art, the beneficial effects of the invention are as follows：A kind of electric power based on Internet of Things that the invention is proposed becomes
Depressor fault diagnosis system, realizes the comprehensive fault detect to power transformer, including electric current, electricity to transformer
The detection of pressure, gas, humidity and temperature, detection data is complete, is easy to understand the specifying information of transformer fault, effective to realize
The fault detect of transformer and fault alarm, substantially increase diagnosis efficiency, reduce the generation of peril, improve work
Make efficiency.
Brief description of the drawings
Fig. 1 is principle of the invention block diagram.
In figure：1 current sensor, 2 voltage sensors, 3 temperature sensors, 4 humidity sensors, 5 data acquisition units,
6A/D converting units, 7 wave filters, 8 radio communication units, 9 sample injection units, 10 flow control units, the detection of 11 density of hydrogen are single
Unit, 12 hydrogen flame detection units, 13 microprocessing systems, 14 failure diagnosis units, 15 result display units, 16 driver elements, 17 reports
Alert unit.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1 is referred to, the present invention provides a kind of technical scheme：A kind of diagnosing fault of power transformer system based on Internet of Things
System, the diagnosing fault of power transformer system that should be based on Internet of Things includes current sensor 1, voltage sensor 2, temperature sensor
3rd, humidity sensor 4, data acquisition unit 5, A/D converting units 6, wave filter 7, radio communication unit 8, sample injection unit 9, air-flow
Control unit 10, density of hydrogen detection unit 11, hydrogen flame detection unit 12, microprocessing systems 13, failure diagnosis unit 14, result
Display unit 15, driver element 16 and alarm unit 17；
Transformation is detected by the current sensor 1, voltage sensor 2, temperature sensor 3 and humidity sensor 4 respectively
The electric current of device, voltage, temperature and humidity, current sensor 1, voltage sensor 2, temperature are gathered by the data acquisition unit 2
The data that degree sensor 3 and humidity sensor 4 are detected, 6 pairs of collections of the data acquisition unit 5 of the A/D converting units
Data carry out data signal and are changed to the signal of analog signal, beyond the wave filter 7 is to the frequency of CF or the frequency
Frequency effectively filtered out, obtain a power supply signal for CF, by the radio communication unit 8 will detect number
It is believed that breath is wirelessly transmitted to microprocessing systems 13, the gas information of transformer is gathered by the sample injection unit 9, by the gas
Flow control unit 10 is the carrier gas that the sample injection unit 9 provides stabilization, and density of hydrogen detection unit 11 is used to detect the hydrogen of gas
Gas concentration, the hydrogen flame detection unit 12 is used to the air-flow of detection be converted to electric signal, and by the radio communication unit 8
The gas information of detection is wirelessly transmitted to microprocessing systems 13, is believed according to the data of detection by the failure diagnosis unit 14
Breath makes fault diagnosis, and diagnostic result is fed back into microprocessing systems 13, if there is equipment fault problem, by the driving
Unit 16 drives alarm unit 17 to be alarmed, and is shown testing result by the result display unit 15.
Wherein, connected by signal amplification unit between the data acquisition unit 5 and A/D converting units 6, the signal
Amplifying unit is used to be amplified the data-signal that detects, the sample injection unit 9 include transformer oil recovery valve, oscillator and
Injector, oil sample is gathered from transformer, is vibrated in the oscillator and to be dissolved in mixed gaseous therein, the gas flow optimized
Unit 10 includes pressure-reducing valve, switch valve and pressure maintaining valve, and the hydrogen flame detection unit 12 includes conversion stove, chromatographic column, hydrogen flame ion
Change detector and detection circuit, the chromatographic column is used to separate each component in mixed gas sample, and the detection circuit is used
In the treatment to air-flow electric signal, the alarm unit 17 is audible-visual annunciator, and the result display unit 15 includes display screen
And printer.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding can carry out various changes, modification, replacement to these embodiments without departing from the principles and spirit of the present invention
And modification, the scope of the present invention be defined by the appended.
Claims (7)
1. a kind of diagnosing fault of power transformer system based on Internet of Things, it is characterised in that：The electric power for being based on Internet of Things becomes
Depressor fault diagnosis system include current sensor (1), voltage sensor (2), temperature sensor (3), humidity sensor (4),
Data acquisition unit (5), A/D converting units (6), wave filter (7), radio communication unit (8), sample injection unit (9), gas flow optimized
Unit (10), density of hydrogen detection unit (11), hydrogen flame detection unit (12), microprocessing systems (13), failure diagnosis unit
(14), result display unit (15), driver element (16) and alarm unit (17)；
Detected respectively by the current sensor (1), voltage sensor (2), temperature sensor (3) and humidity sensor (4)
The electric current of transformer, voltage, temperature and humidity, gather current sensor (1), voltage and pass by the data acquisition unit (2)
The data that sensor (2), temperature sensor (3) and humidity sensor (4) are detected, the A/D converting units (6) are to the data
The data of collecting unit (5) collection carry out data signal and are changed to the signal of analog signal, and the wave filter (7) is to CF
Frequency or the frequency beyond frequency effectively filtered out, a power supply signal for CF is obtained, by described wireless
The data message of detection is wirelessly transmitted to microprocessing systems (13) by communication unit (8), is gathered by the sample injection unit (9) and become
The gas information of depressor, the carrier gas of stabilization is provided by the flow control units (10) for the sample injection unit (9), and hydrogen is dense
Detection unit (11) is spent for detecting the density of hydrogen of gas, and the hydrogen flame detection unit (12) is for the air-flow conversion detection
It is electric signal, and the gas information of detection is wirelessly transmitted to by microprocessing systems (13) by the radio communication unit (8), leads to
Cross the failure diagnosis unit (14) and fault diagnosis is made according to the data message of detection, and diagnostic result is fed back into microprocessor
System (13), if there is equipment fault problem, drives alarm unit (17) to be alarmed by the driver element (16), passes through
The result display unit (15) shows testing result.
2. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
State and be connected by signal amplification unit between data acquisition unit (5) and A/D converting units (6), the signal amplification unit is used
It is amplified in the data-signal to detecting.
3. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
Stating sample injection unit (9) includes transformer oil recovery valve, oscillator and injector, oil sample is gathered from transformer, in the oscillator
Vibrate and be dissolved in mixed gaseous therein.
4. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
Stating flow control units (10) includes pressure-reducing valve, switch valve and pressure maintaining valve.
5. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
Stating hydrogen flame detection unit (12) includes conversion stove, chromatographic column, hydrogen flame ionization detector and detection circuit, and the chromatographic column is used for
Each component in mixed gas sample is separated, the detection circuit is used for the treatment to air-flow electric signal.
6. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
It is audible-visual annunciator to state alarm unit (17).
7. a kind of diagnosing fault of power transformer system based on Internet of Things according to claim 1, it is characterised in that：Institute
Stating result display unit (15) includes display screen and printer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710086198.3A CN106707890A (en) | 2017-02-17 | 2017-02-17 | Power transformer fault diagnosis system based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710086198.3A CN106707890A (en) | 2017-02-17 | 2017-02-17 | Power transformer fault diagnosis system based on Internet of Things |
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| Publication Number | Publication Date |
|---|---|
| CN106707890A true CN106707890A (en) | 2017-05-24 |
Family
ID=58909258
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710086198.3A Pending CN106707890A (en) | 2017-02-17 | 2017-02-17 | Power transformer fault diagnosis system based on Internet of Things |
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| Country | Link |
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| CN (1) | CN106707890A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107703918A (en) * | 2017-10-23 | 2018-02-16 | 国家电网公司 | A kind of electrical equipment fault information acquisition device |
| CN108427623A (en) * | 2018-03-15 | 2018-08-21 | 河南工程学院 | A kind of computer fault alarm system and method |
| CN111290307A (en) * | 2018-12-07 | 2020-06-16 | 弥芥科技发展(上海)有限公司 | Whole circuit economizer system based on thing networking |
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| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| CN103018355A (en) * | 2012-11-28 | 2013-04-03 | 国网电力科学研究院武汉南瑞有限责任公司 | Method and device for monitoring gas in transformer oil on line |
| CN104237705A (en) * | 2014-09-30 | 2014-12-24 | 沈阳工业大学 | Multi-information fusion online monitoring device and diagnostic method for windings of power transformers |
| CN105486959A (en) * | 2016-01-17 | 2016-04-13 | 蒋和平 | Power transformer fault diagnosis system based on Internet-of-things and cloud computing |
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2017
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Patent Citations (5)
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| CN1480737A (en) * | 2003-07-22 | 2004-03-10 | �Ϻ���ͨ��ѧ | Integrated intelligent testing system for large power convertor assembly |
| CN1553206A (en) * | 2003-12-18 | 2004-12-08 | 西安交通大学 | Electric power apparatus external insulative leakage current on-line monitoring system in converting station |
| CN103018355A (en) * | 2012-11-28 | 2013-04-03 | 国网电力科学研究院武汉南瑞有限责任公司 | Method and device for monitoring gas in transformer oil on line |
| CN104237705A (en) * | 2014-09-30 | 2014-12-24 | 沈阳工业大学 | Multi-information fusion online monitoring device and diagnostic method for windings of power transformers |
| CN105486959A (en) * | 2016-01-17 | 2016-04-13 | 蒋和平 | Power transformer fault diagnosis system based on Internet-of-things and cloud computing |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107703918A (en) * | 2017-10-23 | 2018-02-16 | 国家电网公司 | A kind of electrical equipment fault information acquisition device |
| CN108427623A (en) * | 2018-03-15 | 2018-08-21 | 河南工程学院 | A kind of computer fault alarm system and method |
| CN111290307A (en) * | 2018-12-07 | 2020-06-16 | 弥芥科技发展(上海)有限公司 | Whole circuit economizer system based on thing networking |
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170524 |
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| RJ01 | Rejection of invention patent application after publication |