CN107272486A - A kind of transformer control system and monitoring method - Google Patents
A kind of transformer control system and monitoring method Download PDFInfo
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- CN107272486A CN107272486A CN201710460288.4A CN201710460288A CN107272486A CN 107272486 A CN107272486 A CN 107272486A CN 201710460288 A CN201710460288 A CN 201710460288A CN 107272486 A CN107272486 A CN 107272486A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000012544 monitoring process Methods 0.000 title abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 23
- 238000004891 communication Methods 0.000 claims abstract description 15
- 239000000446 fuel Substances 0.000 claims abstract description 15
- 238000003745 diagnosis Methods 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims abstract description 11
- 230000001360 synchronised effect Effects 0.000 claims abstract description 6
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 39
- 238000013021 overheating Methods 0.000 claims description 35
- 238000004804 winding Methods 0.000 claims description 35
- 238000005070 sampling Methods 0.000 claims description 16
- 230000005350 ferromagnetic resonance Effects 0.000 claims description 11
- 230000004888 barrier function Effects 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 229910052742 iron Inorganic materials 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 4
- 230000009466 transformation Effects 0.000 description 7
- 238000013461 design Methods 0.000 description 6
- 230000005611 electricity Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 239000004973 liquid crystal related substance Substances 0.000 description 4
- 235000008331 Pinus X rigitaeda Nutrition 0.000 description 3
- 235000011613 Pinus brutia Nutrition 0.000 description 3
- 241000018646 Pinus brutia Species 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 230000005674 electromagnetic induction Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000011810 insulating material Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002459 sustained effect Effects 0.000 description 1
Classifications
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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
- G05B19/0428—Safety, monitoring
-
- 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
- G05B2219/24215—Scada supervisory control and data acquisition
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Housings And Mounting Of Transformers (AREA)
- Protection Of Transformers (AREA)
Abstract
The invention discloses a kind of transformer control system and monitoring method, the monitoring system includes transformer condition detector and supervising device, the supervising device includes microprocessor, data storage and communication module, the transformer condition detector includes temperature detecting module, current sensor, voltage sensor, fuel level sensor and sensor noise, and the temperature detecting module includes the first temperature sensor, second temperature sensor and three-temperature sensor；The monitoring method includes step：First, transformer operating mode is detected and detection information synchronized upload in real time；2nd, the storage of transformer working condition information；3rd, transformer work state information analyzes and processes and exports fault diagnosis result.The present invention can carry out timely, accurate measurements to transformer temperature, electric current, voltage, oil level and noise, it is ensured that transformer is efficient, safe operation, reduces failure.
Description
Technical field
The invention belongs to transformer control technical field, more particularly, to a kind of transformer control system and monitoring method.
Background technology
Transformer is the device for changing alternating voltage using the principle of electromagnetic induction, and main member is primary coil, secondary
Level coil and iron core, transformer is to convert alternating voltage, alternating current and the device of impedance, when being connected with alternating current in primary coil
During stream, exchange flux is just produced in iron core, makes to induce voltage (or electric current) in secondary coil.As China's economic continues health
High speed development, electricity needs maintains sustained and rapid growth, and promotes the development of Chinese Transformer-Manufacturing Trade, but transformer uses process
Also there are some failures, therefore, effective monitoring is carried out to transformer, failure is found in time, improve power system efficiency, reduction electricity
Force system cost, economical and efficient.At present, transformer is primarily present problems with：First, it is due to become that the damage of transformer is more
The reduction of the too high voltage endurance capability and mechanical strength for causing insulating materials of device temperature in depressor, inside transformer easily overheats bag
Include winding overheat in primary coil or secondary coil, iron core overheat and oil overheating etc.；Secondly, some device pines in transformer
When occurring ferromagnetic resonance in dynamic or transformer, vibration can be all produced in transformer and different degrees of noise occurs；In addition, becoming
There is oil level in oil leakage fault, transformer in depressor general within the limits prescribed, can be in transformer when transformer oil leak
Oil level is low, causes transformer inner sleeve insidious and decomposes switch in air, and dielectric level reduction easily causes to puncture and put
Electricity, causes the accident；Finally, in the rated voltage and rated current of transformer general work, when transformer operating current or
Operating voltage overrate, will also result in the infringement of transformer.But transformer mainly uses and manually transformer is supervised
Control, by interference from human factor, detects inaccurate, it is impossible to obtain transformer working condition in time, reduces failure.Nowadays transformer
Each detection module that monitoring system is used is separate, it is impossible to realize information fusion and comprehensive descision, therefore research is a kind of
Transformer control system and monitoring method, integrate transformer temperature, electric current, voltage, oil level and noise monitor, it is ensured that transformation
Device is efficient, safe operation, reduces failure, significant to power system.
The content of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of transformer prison
Control system, its is simple in construction, reasonable in design and good using easy to operate, full-featured, using effect, can be to temperature, electric current, electricity
Pressure, oil level and noise carry out timely, accurate measurements, it is ensured that transformer is efficient, safe operation, reduces failure.
In order to solve the above technical problems, the technical solution adopted by the present invention is：A kind of transformer control system, its feature exists
In：Including for detecting the transformer condition detector of transformer working condition and to the transformer condition detector institute
The supervising device that detection information is analyzed and processed, the data that the supervising device includes microprocessor, connected with microprocessor
Memory and communication module, the input of the microprocessor is terminated with data acquisition module and the parameter for parameter setting is inputted
Module, the output of the microprocessor is terminated with LCDs, warning module and refrigerating module；
The electric current that the transformer condition detector includes temperature detecting module, detected to transformer operating current
Sensor and the voltage sensor detected to transformer operating voltage, and to oil level that oil level in transformer is detected
Sensor and to the sensor noise that noise generated intensity is detected in transformer, the temperature detecting module is included to becoming
Winding temperature is detected in depressor the first temperature sensor, the second temperature that iron core temperature is detected in transformer is passed
Sensor and the three-temperature sensor detected to temperature of oil in transformer, first temperature sensor, second temperature sensor,
Three-temperature sensor, voltage sensor, current sensor, sensor noise and fuel level sensor output end with data
The input of acquisition module connects.
A kind of above-mentioned transformer control system, it is characterised in that：The microprocessor includes single-chip microcomputer, ARM microprocessors
Device or DSP microprocessors.
A kind of above-mentioned transformer control system, it is characterised in that：First temperature sensor, second temperature sensor
It is non-contact temperature sensor with three-temperature sensor.
A kind of above-mentioned transformer control system, it is characterised in that：The communication module is serial communication modular or wireless
Communication module.
Meanwhile, the invention also discloses the change that a kind of method and step is simple, reasonable in design and easy to operate, using effect is good
Depressor monitoring method, it is characterised in that this method comprises the following steps：
Step 1: transformer operating mode is detected and detection information synchronized upload in real time, detailed process is as follows：Using the transformation
Device condition detector is detected in real time to the working condition of transformer, is specially：First temperature sensor is in transformer
Winding temperature is detected, and the winding temperature detected is sent to data acquisition module, and second temperature sensor is to transformation
Iron core temperature is detected in device, and the iron core temperature detected is sent to data acquisition module, three-temperature sensor pair
Temperature of oil in transformer is detected, and the oil temperature detected is sent to data acquisition module；Fuel level sensor is to oily in transformer
Position is detected, and the oil level detected is sent to data acquisition module, and sensor noise is to noise generated in transformer
Intensity is detected, and the noise intensity detected is sent to data acquisition module, meanwhile, current sensor is to transformer work
Make electric current to be detected, and the operating current detected is sent to data acquisition module, voltage sensor works transformer
Voltage is detected, and the operating voltage detected is sent to the work state information that transformer is obtained to data acquisition module；
Step 2: the storage of transformer working condition information：Adopted using the data acquisition module according to set in advance
The sample time is acquired to transformer working condition information, and the transformer work state information collected is sent to microprocessor
Device, and synchronously store into data storage；
Step 3: transformer work state information analyzes and processes and exports fault diagnosis result：Using the microprocessor
The transformer working condition for storing each sampling time into data storage is believed respectively according to sampling time sequencing
Breath is handled, and draws the fault diagnosis result of each sampling time transformer；
The fault diagnosis result includes transformer with the presence or absence of failure and the type of transformer fault, the transformer event
Hindering type includes winding overheating fault, iron core overheating fault, oil overheating, low oil level, overload fault, over-voltage fault, device pine
Dynamic failure and ferromagnetic resonance failure；
The transformer working condition that the microprocessor is collected to any sampling time stored into data storage
When information is handled, process is as follows：
Step 201, using the microcontroller according to the first temperature sensor, second temperature stored in data storage
Sensor and three-temperature sensor institute detection information, judge that this moment transformer whether there is winding overheating fault, iron core mistake
Hot stall and oil overheating：When the winding temperature detected by the first temperature sensor is more than winding temperature threshold value, illustrate this
There is winding overheating fault, microprocessor control warning module early warning in moment transformer, and synchronously pass through LCDs
Winding temperature value is shown；When the iron core temperature detected by second temperature sensor is more than iron core temperature threshold, say
There is iron core overheating fault, microprocessor control warning module early warning in this bright moment transformer, and synchronously pass through liquid crystal
Display screen is shown to iron core temperature value；When the 3rd temperature detected by three-temperature sensor is more than oil temperature threshold value, say
There is oil overheating, microprocessor control warning module early warning in this bright moment transformer, and synchronously pass through LCDs
Oil temperature is shown；
Step 202, using the microcontroller according to the fuel level sensor institute detection information stored in data storage, sentence
Disconnected moment transformer whether there is the low failure of oil level：When the oil level detected by fuel level sensor is less than oil level threshold value, explanation
There is the low failure of oil level, microprocessor control warning module early warning in this moment transformer, and synchronously pass through LCDs
Oil level is shown；
Step 203, using the microcontroller according to the current sensor and voltage sensor stored in data storage
Institute's detection information, judges that moment transformer whether there is overload fault and over-voltage fault：When the electricity detected by current sensor
When stream is more than rated current, illustrate that this moment transformer has an overload fault, microprocessor control warning module early warning, and
It is synchronous that electric current is shown by LCDs；When the voltage detected by voltage sensor is more than rated voltage, say
There is over-voltage fault, microprocessor control warning module early warning in this bright moment transformer, and synchronously pass through LCDs
Voltage is shown；
Step 204, using the microcontroller according to the sensor noise institute detection information stored in data storage, sentence
Disconnected moment transformer whether there is device looseness fault or ferromagnetic resonance failure：When the noise detected by sensor noise is strong
When degree is more than noise setting value, illustrate that this moment transformer has device looseness fault or ferromagnetic resonance failure, microcontroller
Warning module early warning is controlled, and synchronously noise intensity is shown by LCDs；
Step 205, return to step 201, using the microcontroller to storing next sampling into data storage
The transformer work state information at moment is analyzed and processed.
Above-mentioned transformer control method, it is characterised in that：In step 201 winding temperature threshold value be 50 DEG C~65 DEG C, iron
Core temperature threshold is 70 DEG C~80 DEG C, and oil temperature threshold value is 50 DEG C~55 DEG C.
The present invention has advantages below compared with prior art：
1st, the transformer control system architecture used is simple, reasonable in design and input cost is relatively low.
2nd, the transformer control systemic-function that is used comprehensively, passes through the first temperature sensor, second temperature sensor, the
Three-temperature sensor is detected to winding, iron core and oil temperature in transformer respectively, according to the first temperature sensor, second temperature
Sensor, three-temperature sensor institute detection information judge, transformer with the presence or absence of winding overheating fault, iron core overheating fault and
Oil overheating；Fuel level sensor is detected to the oil level of transformer, according to fuel level sensor institute detection information, judges that the moment becomes
Depressor whether there is the low failure of oil level；Current sensor and voltage sensor are examined to the electric current and voltage of transformer respectively
Survey, according to current sensor and voltage sensor institute detection information, judge that moment transformer whether there is overload fault and overvoltage
Failure；Sensor noise detects to noise intensity in transformer, according to；Sensor noise institute detection information, judges the moment
Transformer whether there is device looseness fault or ferromagnetic resonance failure, collection transformer temperature, electric current, voltage, oil level and noise
Monitor in one, it is ensured that transformer is efficient, safe operation, reduces failure, significant is produced to power system.
3rd, the transformer control system used is detected using easy to operate by data acquisition unit to each sensor
Information detected by module is acquired and sent to microprocessor, and microprocessor is to the transformer work state information that is received
Analyzed and processed, the working condition of transformer is artificially monitored without staff, saving of work and time, and personal security.
4th, the transformer control method and step used is simple, reasonable in design and realizes that conveniently, input cost is relatively low.
5th, the transformer control method used obtains transformation by being analyzed and processed to transformer work state information
Device fault diagnosis result, is simultaneously emitted by alarm, real-time,.
6th, the transformer control method and step used is simple, reasonable in design and realizes that convenient, using effect is good, right first
Transformer is diagnosed with the presence or absence of failure, and judges fault type, while being pointed out by warning module, and passes through liquid crystal
Show device simultaneous display detection information there is provided directly perceived, accurate and real-time effective fault diagnosis result, thus can be to the former of transformer
Barrier carries out timely, accurate measurements, consequently facilitating staff takes corresponding effective treatment measures according to monitoring result, it is ensured that become
Depressor efficiently and safe operation.
In summary, the present invention is simple in construction, reasonable in design and good using easy to operate, full-featured, using effect, energy
Timely, accurate measurements are carried out to temperature, electric current, voltage, oil level and noise, it is ensured that transformer is efficient, safe operation, reduces event
Barrier.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Fig. 1 is the structural representation of transformer control system of the present invention.
Fig. 2 is the FB(flow block) of transformer control method of the present invention.
Description of reference numerals:
1-microprocessor；2-the first temperature sensor；3-second temperature sensor；
4-the three-temperature sensor；5-voltage sensor；6-current sensor；
7-sensor noise；8-fuel level sensor；9-parameter input module；
10-data storage；11-LCDs；12-refrigerating module；
13-warning module；14-communication module；15-data acquisition module.
Embodiment
A kind of transformer control system as shown in Figure 1, including for detecting the transformer operating mode of transformer working condition
Detection means and the supervising device analyzed and processed to transformer condition detector institute detection information, the monitoring dress
Put the data storage 10 connected including microprocessor 1, with microprocessor 1 and communication module 14, the input of the microprocessor 1
Data acquisition module 15 and the parameter input module 9 for parameter setting are terminated with, the output of the microprocessor 1 is terminated with liquid
Crystal display screen 11, warning module 13 and refrigerating module 12；
The electric current that the transformer condition detector includes temperature detecting module, detected to transformer operating current
Sensor 6 and the voltage sensor 5 detected to transformer operating voltage, and to oil that oil level in transformer is detected
Level sensor 8 and the sensor noise 7 detected to noise generated intensity in transformer, the temperature detecting module include
The first temperature sensor 2 for being detected to winding temperature in transformer, to iron core temperature is detected in transformer second
Temperature sensor 3 and the three-temperature sensor 4 detected to temperature of oil in transformer, the temperature of the first temperature sensor 2, second
Spend sensor 3, three-temperature sensor 4, voltage sensor 5, current sensor 6, sensor noise 7 and fuel level sensor 8
Output end connects with the input with data acquisition module 15.
In the present embodiment, the microprocessor 1 includes single-chip microcomputer, ARM microprocessor or DSP microprocessors.
In the present embodiment, first temperature sensor 2, second temperature sensor 3 and three-temperature sensor 4 are non-
Contact type temperature sensor.
In the present embodiment, the communication module 14 is serial communication modular or wireless communication module.
In the present embodiment, by communication module 14, it is easy to remotely monitor transformer, obtains transformer working condition letter
Breath.
A kind of transformer control method as shown in Figure 2, comprises the following steps：
Step 1: transformer operating mode is detected and detection information synchronized upload in real time, detailed process is as follows：Using the transformation
Device condition detector is detected in real time to the working condition of transformer, is specially：First temperature sensor 2 is in transformer
Winding temperature is detected, and the winding temperature detected is sent to data acquisition module 15,3 pairs of changes of second temperature sensor
Iron core temperature is detected in depressor, and the iron core temperature detected is sent to data acquisition module 15, the 3rd TEMP
Device 4 is detected to temperature of oil in transformer, and the oil temperature detected is sent to data acquisition module 15；8 pairs of changes of fuel level sensor
Oil level is detected in depressor, and the oil level detected is sent to data acquisition module 15, and sensor noise 7 is in transformer
Noise generated intensity is detected, and the noise intensity detected is sent to data acquisition module 15, meanwhile, current sense
Device 6 is detected to transformer operating current, and the operating current detected is sent to data acquisition module 15, voltage sensor
Device 5 is detected to transformer operating voltage, and the operating voltage detected is sent to data acquisition module 15, obtains transformation
The work state information of device；
Step 2: the storage of transformer working condition information：Using the data acquisition module 15 according to set in advance
Sampling time is acquired to transformer working condition information, and the transformer work state information collected is sent to micro- place
Device 1 is managed, and is synchronously stored into data storage 10；
Step 3: transformer work state information analyzes and processes and exports fault diagnosis result：Using the microprocessor 1
According to sampling time sequencing respectively to storing the transformer working condition in each sampling time into data storage 10
Information is handled, and draws the fault diagnosis result of each sampling time transformer；
The fault diagnosis result includes transformer with the presence or absence of failure and the type of transformer fault, the transformer event
Hindering type includes winding overheating fault, iron core overheating fault, oil overheating, low oil level, overload fault, over-voltage fault, device pine
Dynamic failure and ferromagnetic resonance failure；
The transformer work shape that any sampling time that 1 pair of the microprocessor is stored into data storage 10 collects
When state information is handled, process is as follows：
Step 201, using the microcontroller 1 according to the first temperature sensor 2, second stored in data storage 10
4 detection informations of temperature sensor 3 and three-temperature sensor, judge this moment transformer with the presence or absence of winding overheating fault,
Iron core overheating fault and oil overheating：When the winding temperature detected by the first temperature sensor 2 is more than winding temperature threshold value,
Illustrate that this moment transformer has winding overheating fault, the control early warning of warning module 13 of microcontroller 1, and synchronously pass through liquid
Crystal display screen 11 is shown to winding temperature value；When the iron core temperature detected by second temperature sensor 3 is more than iron core temperature
When spending threshold value, illustrate that this moment transformer has iron core overheating fault, microcontroller 1 controls the early warning of warning module 13, and
It is synchronous that iron core temperature value is shown by LCDs 11；When the 3rd temperature detected by three-temperature sensor 4
During more than oil temperature threshold value, illustrate that this moment transformer has oil overheating, microcontroller 1 controls the early warning of warning module 13,
And synchronously oil temperature is shown by LCDs 11；
Step 202, letter according to the fuel level sensor 8 stored in data storage 10 detected using the microcontroller 1
Breath, judges that moment transformer whether there is the low failure of oil level：When the oil level detected by fuel level sensor 8 is less than oil level threshold value
When, illustrate that this moment transformer has the low failure of oil level, the control early warning of warning module 13 of microcontroller 1, and synchronously pass through
LCDs 11 is shown to oil level；
Step 203, passed according to the current sensor 6 and voltage that are stored in data storage 10 using the microcontroller 1
5 detection informations of sensor, judge that moment transformer whether there is overload fault and over-voltage fault：When current sensor 6 is detected
When the electric current arrived is more than rated current, illustrate that this moment transformer has overload fault, the control warning module 13 of microcontroller 1 is pre-
Alert prompting, and synchronously electric current is shown by LCDs 11；When the voltage detected by voltage sensor 5 is more than volume
When determining voltage, illustrate that this moment transformer has over-voltage fault, microcontroller 1 controls the early warning of warning module 13, and synchronously
Voltage is shown by LCDs 11；
Step 204, letter according to the sensor noise 7 stored in data storage 10 detected using the microcontroller 1
Breath, judges that moment transformer whether there is device looseness fault or ferromagnetic resonance failure：When detected by sensor noise 7
When noise intensity is more than noise setting value, illustrate that this moment transformer has device looseness fault or ferromagnetic resonance failure, it is micro-
Controller 1 controls the early warning of warning module 13, and synchronously noise intensity is shown by LCDs 11；
Step 205, return to step 201, next are adopted using the microcontroller to store into data storage 10
The transformer work state information at sample moment is analyzed and processed.
In the present embodiment, when transformer has winding overheating fault, iron core overheating fault or oil overheating, microcontroller
The 1 control work of refrigerating module 12 is cooled, it is to avoid winding overheating fault, iron core overheating fault or oil overheating accelerate transformation
The damage of device.
In the present embodiment, winding temperature threshold value, iron core temperature threshold, oil temperature threshold are preset by parameter input module 9
Value, rated current, rated voltage and noise setting value.
In the present embodiment, winding temperature threshold value is 50 DEG C~65 DEG C in step 201, and iron core temperature threshold is 70 DEG C~80
DEG C, oil temperature threshold value is 50 DEG C~55 DEG C.
In the present embodiment, in step 2 the sampling time set in advance can and set according to transformer control demand.
It is described above, only it is presently preferred embodiments of the present invention, not the present invention is imposed any restrictions, it is every according to the present invention
Any simple modification, change and equivalent structure change that technical spirit is made to above example, still fall within skill of the present invention
In the protection domain of art scheme.
Claims (6)
1. a kind of transformer control system, it is characterised in that：Including for detecting that the transformer operating mode of transformer working condition is examined
Survey device and the supervising device analyzed and processed to transformer condition detector institute detection information, the supervising device
The data storage (10) and communication module (14) connected including microprocessor (1), with microprocessor (1), the microprocessor
(1) input is terminated with data acquisition module (15) and the parameter input module (9) for parameter setting, the microprocessor
(1) output is terminated with LCDs (11), warning module (13) and refrigerating module (12)；
The current sense that the transformer condition detector includes temperature detecting module, detected to transformer operating current
Device (6) and the voltage sensor (5) detected to transformer operating voltage, and to oil that oil level in transformer is detected
Level sensor (8) and to the sensor noise (7) that noise generated intensity is detected in transformer, the temperature detecting module
Including winding temperature in transformer is detected the first temperature sensor (2), iron core temperature in transformer is detected
Second temperature sensor (3) and the three-temperature sensor (4) that is detected to temperature of oil in transformer, first TEMP
Device (2), second temperature sensor (3), three-temperature sensor (4), voltage sensor (5), current sensor (6), noise are passed
The output end of sensor (7) and fuel level sensor (8) connects with the input with data acquisition module (15).
2. according to a kind of transformer control system described in claim 1, it is characterised in that：The microprocessor (1) includes single
Piece machine, ARM microprocessor or DSP microprocessors.
3. according to a kind of transformer control system described in claim 1 or 2, it is characterised in that：First temperature sensor
(2), second temperature sensor (3) and three-temperature sensor (4) are non-contact temperature sensor.
4. according to a kind of transformer control system described in claim 1 or 2, it is characterised in that：The communication module (14) is
Serial communication modular or wireless communication module.
5. a kind of method being monitored using transformer control system as claimed in claim 1 to transformer, it is characterised in that：
This method comprises the following steps：
Step 1: transformer operating mode is detected and detection information synchronized upload in real time, detailed process is as follows：Using the transformer work
Condition detection means is detected in real time to the working condition of transformer, is specially：First temperature sensor (2) in transformer around
Group temperature is detected, and the winding temperature detected is sent to data acquisition module (15), and second temperature sensor (3) is right
Iron core temperature is detected in transformer, and the iron core temperature detected is sent to data acquisition module (15), the 3rd temperature
Sensor (4) is detected to temperature of oil in transformer, and the oil temperature detected is sent to data acquisition module (15)；Oil level is sensed
Device (8) is detected to oil level in transformer, and the oil level detected is sent to data acquisition module (15), sensor noise
(7) noise generated intensity in transformer is detected, and the noise intensity detected is sent to data acquisition module
(15), meanwhile, current sensor (6) is detected to transformer operating current, and the operating current detected is sent to number
According to acquisition module (15), voltage sensor (5) is detected to transformer operating voltage, and the operating voltage detected is sent
To data acquisition module (15), the work state information of transformer is obtained；
Step 2: the storage of transformer working condition information：Adopted using the data acquisition module (15) according to set in advance
The sample time is acquired to transformer working condition information, and the transformer work state information collected is sent to microprocessor
Device (1), and synchronously store into data storage (10)；
Step 3: transformer work state information analyzes and processes and exports fault diagnosis result：Pressed using the microprocessor (1)
According to sampling time sequencing respectively to storing the transformer working condition in each sampling time into data storage (10)
Information is handled, and draws the fault diagnosis result of each sampling time transformer；
The fault diagnosis result includes transformer with the presence or absence of failure and the type of transformer fault, the transformer fault class
Type includes winding overheating fault, iron core overheating fault, oil overheating, low oil level, overload fault, over-voltage fault, device and loosens event
Barrier and ferromagnetic resonance failure；
The microprocessor (1) works shape to storing the transformer that any sampling time into data storage (10) collects
When state information is handled, process is as follows：
Step 201, using the microcontroller (1) according to the first temperature sensor (2) stored in data storage (10), the
Two temperature sensors (3) and three-temperature sensor (4) institute detection information, judge that this moment transformer is overheated with the presence or absence of winding
Failure, iron core overheating fault and oil overheating：When the winding temperature detected by the first temperature sensor (2) is more than winding temperature
During threshold value, illustrate that this moment transformer has winding overheating fault, microcontroller (1) controls warning module (13) early warning,
And synchronously winding temperature value is shown by LCDs (11)；When the iron detected by second temperature sensor (3)
When core temperature is more than iron core temperature threshold, illustrate that this moment transformer has iron core overheating fault, microcontroller (1) control early warning
Module (13) early warning, and synchronously iron core temperature value is shown by LCDs (11)；When the 3rd TEMP
When the 3rd temperature detected by device (4) is more than oil temperature threshold value, illustrate that this moment transformer has oil overheating, microcontroller
(1) warning module (13) early warning is controlled, and synchronously oil temperature is shown by LCDs (11)；
Step 202, using the microcontroller (1) according in data storage (10) store fuel level sensor (8) detected
Information, judges that moment transformer whether there is the low failure of oil level：When the oil level detected by fuel level sensor (8) is less than oil level threshold
During value, illustrate that this moment transformer has the low failure of oil level, microcontroller (1) controls warning module (13) early warning, and together
Step is shown by LCDs (11) to oil level；
Step 203, using the microcontroller (1) according in data storage (10) store current sensor (6) and voltage
Sensor (5) institute detection information, judges that moment transformer whether there is overload fault and over-voltage fault：When current sensor (6)
When detected electric current is more than rated current, illustrate that this moment transformer has overload fault, microcontroller (1) control early warning
Module (13) early warning, and synchronously electric current is shown by LCDs (11)；When voltage sensor (5) is detected
When the voltage arrived is more than rated voltage, illustrate that this moment transformer has over-voltage fault, microcontroller (1) control warning module
(13) early warning, and synchronously voltage is shown by LCDs (11)；
Step 204, using the microcontroller (1) according in data storage (10) store sensor noise (7) detected
Information, judges that moment transformer whether there is device looseness fault or ferromagnetic resonance failure：When sensor noise (7) is detected
When the noise intensity arrived is more than noise setting value, illustrate that this moment transformer has device looseness fault or ferromagnetic resonance event
Barrier, microcontroller (1) control warning module (13) early warning, and synchronously noise intensity is carried out by LCDs (11)
Display；
Step 205, return to step 201, using the microcontroller to storing next sampling into data storage (10)
The transformer work state information at moment is analyzed and processed.
6. in accordance with the method for claim 5, it is characterised in that：In step 201 winding temperature threshold value be 50 DEG C~65 DEG C, iron
Core temperature threshold is 70 DEG C~80 DEG C, and oil temperature threshold value is 50 DEG C~55 DEG C.
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| CN107807303A (en) * | 2017-11-01 | 2018-03-16 | 浙江群力电气有限公司 | A kind of Transformer Condition Monitoring System |
| CN107870010A (en) * | 2017-11-06 | 2018-04-03 | 国家电网公司 | Transformer detection device and adjustable transformer inspection instrument |
| CN108008669A (en) * | 2017-11-14 | 2018-05-08 | 安徽徽远成电气科技股份有限公司 | System is protected in a kind of detection applied to transformer |
| CN109000719A (en) * | 2018-06-19 | 2018-12-14 | 南通市海王电气有限公司 | Transformer online monitoring system based on Internet of Things |
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| CN107870010A (en) * | 2017-11-06 | 2018-04-03 | 国家电网公司 | Transformer detection device and adjustable transformer inspection instrument |
| CN108008669A (en) * | 2017-11-14 | 2018-05-08 | 安徽徽远成电气科技股份有限公司 | System is protected in a kind of detection applied to transformer |
| CN109000719A (en) * | 2018-06-19 | 2018-12-14 | 南通市海王电气有限公司 | Transformer online monitoring system based on Internet of Things |
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| CN110070981A (en) * | 2019-05-15 | 2019-07-30 | 华北电力大学（保定） | A kind of optical fiber transformer |
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| CN110701146A (en) * | 2019-09-30 | 2020-01-17 | 宁波青缇工业设计有限公司 | Oil temperature and oil pressure auxiliary control device suitable for hydraulic system |
| CN112117112B (en) * | 2020-01-09 | 2021-12-07 | 六安科亚信息科技有限公司 | Transformer oil temperature grading detection method |
| CN112117112A (en) * | 2020-01-09 | 2020-12-22 | 胡硕 | Transformer oil temperature grading detection method |
| CN111398864A (en) * | 2020-03-25 | 2020-07-10 | 广东工业大学 | Dynamic setting method, device and storage medium for protection constant value |
| CN113189525A (en) * | 2021-03-31 | 2021-07-30 | 湖南小快智造电子科技有限公司 | Intelligent monitoring terminal and system for transformer |
| CN113984123A (en) * | 2021-10-28 | 2022-01-28 | 重庆海装风电工程技术有限公司 | A transformer-based condition monitoring method, system and electronic device |
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| CN114235053A (en) * | 2021-12-20 | 2022-03-25 | 国网山东省电力公司兰陵县供电公司 | Method for improving abnormity detection accuracy of voltage transformation equipment |
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| CN114371357A (en) * | 2022-01-10 | 2022-04-19 | 中铁第一勘察设计院集团有限公司 | A transformer online monitoring and fault early warning and diagnosis device |
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