CN110632406A - Data mining system for transformer - Google Patents
Data mining system for transformer Download PDFInfo
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- CN110632406A CN110632406A CN201810654993.2A CN201810654993A CN110632406A CN 110632406 A CN110632406 A CN 110632406A CN 201810654993 A CN201810654993 A CN 201810654993A CN 110632406 A CN110632406 A CN 110632406A
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- 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
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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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- Housings And Mounting Of Transformers (AREA)
Abstract
The invention discloses a data mining system for a transformer, which comprises a sensor module, a micro-processing chip and a data memory, wherein the sensor module is used for acquiring parameters of the transformer, and an output stage of the sensor module is electrically connected with an input stage of the micro-processing chip; the first output end of the micro-processing chip is electrically connected with the input end of the data memory. The sensor module comprises a sleeve sensor, an oil temperature sensor, an iron core sensor, a mechanism sensor, a lead sensor, a cooler sensor and a pressure regulating sensor. According to the invention, different types of sensors are arranged on the main transformer component, and then comprehensive analysis and diagnosis are carried out through the data of the sensors, so that the overall performance evaluation of the main transformer is realized, and the service life of the main transformer is effectively prolonged.
Description
Technical Field
The invention relates to the field of transformer analysis, in particular to a data mining system for a transformer.
Background
The main transformer is one of the most important electric power equipment, and is directly related to normal conversion and transmission of electric energy, so that the healthy operation level of a power grid can be greatly improved by effectively monitoring the state of the main transformer. The main transformer structure is also the most complex power equipment, and its components include a transformer body (iron core, winding, insulation, lead), transformer oil, an oil tank, a cooling device, a pressure regulating device, a protecting device (a moisture absorber, a safety air passage, a gas relay, an oil conservator, a temperature measuring device, etc.), an outlet sleeve, etc. Defects in various parts of the main transformer can cause problems in operation and serious consequences, so that effective monitoring of the various parts of the main transformer is necessary. The normal operation of a main transformer is ensured mainly through a periodic power failure test mode at present. However, the method can affect the utilization rate of equipment, affect the reliability of power supply and even possibly artificially increase the hidden trouble of a main transformer. Therefore, more and more live monitoring devices for the components of the main transformer are used in practical work. However, these devices are often used to monitor and analyze a specific indicator of the main transformer, and the relevance of each component and the overall performance of the main transformer are not sufficiently estimated.
Disclosure of Invention
The invention overcomes the defects of monitoring of the existing main transformer and provides a novel data mining system for the transformer. According to the invention, different types of sensors are arranged on the main transformer components, and then comprehensive analysis and diagnosis are carried out through the data of the sensors, so that the overall performance evaluation of the main transformer is realized.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a data mining system for a transformer is used for collecting parameters of the transformer and comprises a sensor module, a micro-processing chip and a data memory, wherein,
the sensor module group is used for collecting parameters of the transformer, and an output stage of the sensor module group is electrically connected with an input stage of the micro-processing chip;
the first output end of the micro-processing chip is electrically connected with the input end of the data memory.
The working process of the invention is as follows:
the sensor module is arranged on the main transformer, and then the micro-processing chip performs comprehensive analysis and diagnosis through data of the sensor, so that the overall performance of the main transformer is evaluated. And storing the associated evaluation results and sensor data in a data memory.
In a preferred scheme, the sensor module comprises a sleeve sensor, an oil temperature sensor, an iron core sensor, a mechanism sensor, a lead sensor, a cooler sensor and a voltage regulating sensor, wherein,
the bushing sensor is used for measuring the leakage current of the bushing and the voltage of the bushing, the bushing voltage can be acquired secondarily from a mutual inductor connected in parallel with the bushing voltage, the bushing leakage current is generally acquired from a bushing end screen grounded and then is output through the current mutual inductor, and the output end of the bushing sensor is electrically connected with the first input end of the micro-processing chip;
the output end of the oil temperature sensor is electrically connected with the second input end of the micro-processing chip;
the iron core sensor is used for measuring the grounding current of the iron core in a grounding mode, and the output end of the iron core sensor is electrically connected with the third input end of the micro-processing chip;
the mechanism sensor is used for detecting the change of the sleeve structure, and the output end of the mechanism sensor is electrically connected with the fourth input end of the micro-processing chip;
the lead sensor is used for detecting the change of the sleeve structure, and the output end of the lead sensor is electrically connected with the fifth input end of the micro-processing chip;
the cooler sensor is used for measuring temperature information of the fan, and the output end of the cooler sensor is electrically connected with the sixth input end of the micro-processing chip;
the voltage regulating sensor is used for reading gear information of the transformer coil, and the output end of the voltage regulating sensor is electrically connected with the seventh input end of the micro-processing chip; only changes with the change of the operation mode,
the output end of the sleeve sensor, the output end of the oil temperature sensor, the output end of the iron core sensor, the output end of the mechanism sensor, the output end of the lead sensor, the output end of the cooler sensor and the output end of the voltage regulating sensor form an output stage of the sensor module;
the first input end of the micro-processing chip, the second input end of the micro-processing chip, the third input end of the micro-processing chip, the fourth input end of the micro-processing chip, the fifth input end of the micro-processing chip, the sixth input end of the micro-processing chip and the seventh input end of the micro-processing chip form an input stage of the micro-processing chip.
In a preferred embodiment, the sampling frequency of the casing sensor is greater than 10 KHz.
In a preferred embodiment, the sampling frequency of the oil temperature sensor is 10 minutes.
In the preferred scheme, because the oil temperature changes slowly, the oil temperature is collected once in ten minutes generally.
In a preferred scheme, the voltage regulating sensor reads the gear information of the primary transformer coil after the operation mode is changed.
In the preferred embodiment, since the gear information of the transformer coil is read, the information is quite stable and can only change along with the change of the operation mode, and therefore, only once data reading is needed after the operation mode is changed.
In a preferred embodiment, the sampling frequency of the iron core sensor is 1 minute.
In this preferred scheme, the iron core sensor adopts current transformer collection, and this information is real-time data, but generally comparatively stable, only need keep 1 minute to gather once can.
In a preferred scheme, the sampling frequency of the mechanism sensor is more than 10 KHz.
In a preferred scheme, the sampling frequency of the lead sensor is more than 10 KHz.
In a preferred embodiment, the data mining system further includes a display module, and an input end of the display module is electrically connected to the second output end of the microprocessor chip.
In a preferred embodiment, the data mining system further includes a wireless communication module, and an input end of the wireless communication module is electrically connected to the third output end of the microprocessor chip.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
according to the invention, different types of sensors are arranged on the main transformer components, and then comprehensive analysis and diagnosis are carried out through the data of the sensors, so that the overall performance evaluation of the main transformer is realized, and the service life of the main transformer is effectively prolonged.
Drawings
FIG. 1 is a block diagram of an embodiment.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, a data mining system for a transformer, an enhanced STM32 chip, an LCD display screen, a TF card, a 4G communication module, a bushing sensor, an oil temperature sensor, an iron core sensor, a mechanism sensor, a lead sensor, a cooler sensor, a voltage regulating sensor, wherein,
a first output end of the enhanced STM32 chip is electrically connected with an input end of the TF card;
a second output end of the enhanced STM32 chip is electrically connected with an input end of the LCD screen;
a third output end of the enhanced STM32 chip is electrically connected with an input end of the 4G communication module;
the output end of the sleeve sensor is electrically connected with the first input end of the enhanced STM32 chip;
the output end of the oil temperature sensor is electrically connected with the second input end of the enhanced STM32 chip;
the output end of the iron core sensor is electrically connected with the third input end of the enhanced STM32 chip;
the output end of the mechanism sensor is electrically connected with the fourth input end of the enhanced STM32 chip;
the output end of the lead sensor is electrically connected with the fifth input end of the enhanced STM32 chip;
the output end of the cooler sensor is electrically connected with the sixth input end of the enhanced STM32 chip;
and the output end of the voltage regulating sensor is electrically connected with the seventh input end of the enhanced STM32 chip.
The working process of the embodiment is as follows:
the sleeve sensor is used for measuring the leakage current of the sleeve and the voltage of the sleeve, and the sampling frequency is 10 KHz; the sampling frequency of the oil temperature sensor is 10 minutes; the iron core sensor is used for measuring the grounding current of the iron core grounding, and the sampling frequency is 1 minute; the mechanism sensor and the lead sensor are used for detecting the change of the sleeve structure, and the sampling frequency is 10 KHz; the cooler sensor is used for measuring temperature information of the fan; the voltage regulating sensor is used for reading the gear information of the transformer coil, and the voltage regulating sensor is used for reading the gear information of the primary transformer coil after the operation mode is changed; after the parameters are transmitted to the enhanced STM32 chip through a network cable, the enhanced STM32 chip performs comprehensive analysis and diagnosis according to the data, and overall performance evaluation of the main transformer is realized.
The same or similar reference numerals correspond to the same or similar parts;
the terms describing positional relationships in the drawings are for illustrative purposes only and are not to be construed as limiting the patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A data mining system for a transformer is used for collecting parameters of the transformer and is characterized by comprising a sensor module, a micro-processing chip and a data memory, wherein,
the sensor module group is used for collecting parameters of the transformer, and an output stage of the sensor module group is electrically connected with an input stage of the micro-processing chip;
the first output end of the micro-processing chip is electrically connected with the input end of the data memory.
2. The data mining system of claim 1, wherein the sensor module comprises a bushing sensor, an oil temperature sensor, a core sensor, a mechanism sensor, a lead sensor, a cooler sensor, a voltage regulation sensor,
the sleeve sensor is used for measuring the leakage current of the sleeve and the voltage of the sleeve, and the output end of the sleeve sensor is electrically connected with the first input end of the micro-processing chip;
the output end of the oil temperature sensor is electrically connected with the second input end of the micro-processing chip;
the iron core sensor is used for measuring the grounding current of the iron core in a grounding mode, and the output end of the iron core sensor is electrically connected with the third input end of the micro-processing chip;
the mechanism sensor is used for detecting the change of the sleeve structure, and the output end of the mechanism sensor is electrically connected with the fourth input end of the micro-processing chip;
the lead sensor is used for detecting the change of the sleeve structure, and the output end of the lead sensor is electrically connected with the fifth input end of the micro-processing chip;
the cooler sensor is used for measuring temperature information of the fan, and the output end of the cooler sensor is electrically connected with the sixth input end of the micro-processing chip;
the voltage regulating sensor is used for reading gear information of the transformer coil, and the output end of the voltage regulating sensor is electrically connected with the seventh input end of the micro-processing chip;
the output end of the sleeve sensor, the output end of the oil temperature sensor, the output end of the iron core sensor, the output end of the mechanism sensor, the output end of the lead sensor, the output end of the cooler sensor and the output end of the voltage regulating sensor form an output stage of the sensor module;
the first input end of the micro-processing chip, the second input end of the micro-processing chip, the third input end of the micro-processing chip, the fourth input end of the micro-processing chip, the fifth input end of the micro-processing chip, the sixth input end of the micro-processing chip and the seventh input end of the micro-processing chip form an input stage of the micro-processing chip.
3. The data mining system of claim 2, wherein the casing sensor has a sampling frequency greater than 10 KHz.
4. A data mining system according to claim 2 or 3, wherein the sampling frequency of the oil temperature sensor is 10 minutes.
5. The data mining system of claim 4, wherein the voltage regulating sensor is adapted to read the gear information of the primary transformer coil after the operational mode is changed.
6. The data mining system of claim 2, 3 or 5, wherein the core sensor sampling frequency is 1 minute.
7. The data mining system of claim 6, wherein the sampling frequency of the mechanism sensor is greater than 10 KHz.
8. The data mining system of claim 2, 3, 5 or 7, wherein the lead sensors have a sampling frequency greater than 10 KHz.
9. The data mining system of claim 8, further comprising a display module, wherein an input of the display module is electrically connected to the second output of the microprocessor chip.
10. The data mining system of claim 2, 3, 5, 7 or 9, further comprising a wireless communication module, wherein an input of the wireless communication module is electrically connected to the third output of the microprocessor chip.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810654993.2A CN110632406A (en) | 2018-06-22 | 2018-06-22 | Data mining system for transformer |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810654993.2A CN110632406A (en) | 2018-06-22 | 2018-06-22 | Data mining system for transformer |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1484034A (en) * | 2002-09-18 | 2004-03-24 | 新疆特变电工股份有限公司 | On-line intelligent monitoring system for transformer and intelligent analysis diagnosis method thereof |
| CN102981084A (en) * | 2012-12-07 | 2013-03-20 | 深圳市双合电气股份有限公司 | Comprehensive monitoring system for electric power system transformers |
| US20140118003A1 (en) * | 2012-06-13 | 2014-05-01 | Jiangsu Electric Power Company | Fault diagnosis and preliminary location system and method for transformer core looseness |
| CN107272486A (en) * | 2017-06-17 | 2017-10-20 | 丹凤县鑫伟电子有限公司 | A kind of transformer control system and monitoring method |
| CN108152653A (en) * | 2017-12-29 | 2018-06-12 | 国网山东省电力公司日照供电公司 | Transformer fault monitoring device and system |
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- 2018-06-22 CN CN201810654993.2A patent/CN110632406A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1484034A (en) * | 2002-09-18 | 2004-03-24 | 新疆特变电工股份有限公司 | On-line intelligent monitoring system for transformer and intelligent analysis diagnosis method thereof |
| US20140118003A1 (en) * | 2012-06-13 | 2014-05-01 | Jiangsu Electric Power Company | Fault diagnosis and preliminary location system and method for transformer core looseness |
| CN102981084A (en) * | 2012-12-07 | 2013-03-20 | 深圳市双合电气股份有限公司 | Comprehensive monitoring system for electric power system transformers |
| CN107272486A (en) * | 2017-06-17 | 2017-10-20 | 丹凤县鑫伟电子有限公司 | A kind of transformer control system and monitoring method |
| CN108152653A (en) * | 2017-12-29 | 2018-06-12 | 国网山东省电力公司日照供电公司 | Transformer fault monitoring device and system |
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Application publication date: 20191231 |