CN105486959A - Power transformer fault diagnosis system based on Internet-of-things and cloud computing - Google Patents
Power transformer fault diagnosis system based on Internet-of-things and cloud computing Download PDFInfo
- Publication number
- CN105486959A CN105486959A CN201610027929.2A CN201610027929A CN105486959A CN 105486959 A CN105486959 A CN 105486959A CN 201610027929 A CN201610027929 A CN 201610027929A CN 105486959 A CN105486959 A CN 105486959A
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- power transformer
- fault diagnosis
- power
- diagnosis system
- measuring appliance
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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
-
- 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
-
- 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—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a power transformer fault diagnosis system based on Internet-of-things and cloud computing. The power transformer fault diagnosis system is composed of a power transformer fault monitoring center and power transformer monitors. The power transformer fault monitoring center comprises a wireless gateway, a cloud server, a fault diagnosis unit and a central monitor. Each power transformer monitor comprises a current sensor, a temperature and humidity sensor, a hydrogen concentration measuring device, an acetylene concentration measuring device, a wireless communication module, a microprocessor, a carbon monoxide concentration measuring device, an early-alarm and a power supply. The power transformer fault diagnosis system has advantages of simple structure, wide coverage area, all-direction monitoring, high intelligence, user-friendly performance, etc. The power transformer fault diagnosis system facilitates unified fault monitoring on all power transformers in an area. When a fault of a certain power transformer is diagnosed, an early alarm can be transmitted to the corresponding power transformer through the monitoring center. The power transformer fault diagnosis system can better and more comprehensively ensure safe, reliable, high-quality and economical operation of all power transformers in the area.
Description
Technical field
The present invention relates to a kind of diagnosing fault of power transformer system, particularly relate to the diagnosing fault of power transformer system based on Internet of Things and cloud computing.
Background technology
Along with the fast and stable of Chinese national economy develops, increasing rapidly electrical energy demands, based on the experience that domestic and international electric power runs for many years, if system voltage higher grade, capacity is larger, the probability that then electrical equipment breaks down also increases with regard to corresponding, extend repair time, cause huge many losses and inconvenience to social economy and people's lives simultaneously.
In electric system, power transformer is one of very crucial electrical equipment, safe, reliable, the high-quality of its normal operational support system, economical operation, the normal of transformer must be ensured to greatest extent so be in operation, prevent and reduce the generation of Accident of Transformer.Therefore diagnosing fault of power transformer is had great significance.
Summary of the invention
Object of the present invention be exactly to provide a kind of and have that structure is simple, the diagnosing fault of power transformer system based on Internet of Things and cloud computing of the advantage such as wide coverage, monitoring are comprehensive, intelligent, hommization, it is made conveniently to carry out unified monitoring fault to power transformers all in region, when a certain transformer is diagnosed with fault, early warning is sent to corresponding transformer by Surveillance center, can safe, reliable, the high-quality of all power transformers, economical operation in support area better and more comprehensively.
In order to solve the problem existing for background technology, the technical solution used in the present invention is:
Based on the diagnosing fault of power transformer system of Internet of Things and cloud computing, it is made up of Power Transformer Faults Surveillance center and each electricity transformer monitoring device, described Power Transformer Faults Surveillance center comprises radio network gateway, Cloud Server, fault diagnosis device and central monitor, and described each electricity transformer monitoring device comprises current sensor, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, wireless communication module, microprocessor, carbonomonoxide concentration measuring appliance, precaution device and power supply, radio network gateway in Power Transformer Faults Surveillance center is connected with Cloud Server, Cloud Server, central monitor is connected with fault diagnosis device respectively, current sensor in each electricity transformer monitoring device, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, carbonomonoxide concentration measuring appliance is connected with microprocessor respectively, microprocessor respectively with power supply, precaution device connects, wireless communication module is connected with microprocessor, wireless communication module in radio network gateway in Power Transformer Faults Surveillance center and each electricity transformer monitoring device carries out the two-way wireless communication of one-to-many.
Beneficial effect of the present invention is: be somebody's turn to do the diagnosing fault of power transformer system based on Internet of Things and cloud computing, have that structure is simple, the advantage such as wide coverage, monitoring are comprehensive, intelligent, hommization, conveniently unified monitoring fault is carried out to power transformers all in region, when a certain transformer is diagnosed with fault, early warning is sent to corresponding transformer by Surveillance center, can safe, reliable, the high-quality of all power transformers, economical operation in support area better and more comprehensively.
Accompanying drawing explanation
Fig. 1 is the theory diagram of the diagnosing fault of power transformer system embodiment that the present invention is based on Internet of Things and cloud computing.
Embodiment
As shown in Figure 1, based on the diagnosing fault of power transformer system of Internet of Things and cloud computing, it is made up of Power Transformer Faults Surveillance center and each electricity transformer monitoring device, described Power Transformer Faults Surveillance center comprises radio network gateway, Cloud Server, fault diagnosis device and central monitor, and described each electricity transformer monitoring device comprises current sensor, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, wireless communication module, microprocessor, carbonomonoxide concentration measuring appliance, precaution device and power supply, radio network gateway in Power Transformer Faults Surveillance center is connected with Cloud Server, Cloud Server, central monitor is connected with fault diagnosis device respectively, current sensor in each electricity transformer monitoring device, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, carbonomonoxide concentration measuring appliance is connected with microprocessor respectively, microprocessor respectively with power supply, precaution device connects, wireless communication module is connected with microprocessor, wireless communication module in radio network gateway in Power Transformer Faults Surveillance center and each electricity transformer monitoring device carries out the two-way wireless communication of one-to-many.
Current sensor in electricity transformer monitoring device, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, the electric current of carbonomonoxide concentration measuring appliance difference measuring transformer, humiture, density of hydrogen, the real time data of concentration of acetylene and carbonomonoxide concentration, microprocessor processes real time data and sends to the radio network gateway in Power Transformer Faults Surveillance center by wireless communication module, real time data is sent to Cloud Server by radio network gateway, fault diagnosis device is by the diagnosis real time data Fault Diagnosis Method of Power Transformer sent of Cloud Server and be sent to central monitor, when fault diagnosis device judges that transformer exists fault, precaution device sends warning.
Be somebody's turn to do the diagnosing fault of power transformer system based on Internet of Things and cloud computing, have that structure is simple, the advantage such as wide coverage, monitoring are comprehensive, intelligent, hommization, conveniently unified monitoring fault is carried out to power transformers all in region, when a certain transformer is diagnosed with fault, early warning is sent to corresponding transformer by Surveillance center, can safe, reliable, the high-quality of all power transformers, economical operation in support area better and more comprehensively.
Scope relates to all changes form recited above.
Claims (1)
1. based on the diagnosing fault of power transformer system of Internet of Things and cloud computing, it is characterized in that: it is made up of Power Transformer Faults Surveillance center and each electricity transformer monitoring device, described Power Transformer Faults Surveillance center comprises radio network gateway, Cloud Server, fault diagnosis device and central monitor, and described each electricity transformer monitoring device comprises current sensor, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, wireless communication module, microprocessor, carbonomonoxide concentration measuring appliance, precaution device and power supply, radio network gateway in Power Transformer Faults Surveillance center is connected with Cloud Server, Cloud Server, central monitor is connected with fault diagnosis device respectively, current sensor in each electricity transformer monitoring device, Temperature Humidity Sensor, density of hydrogen measuring appliance, concentration of acetylene measuring appliance, carbonomonoxide concentration measuring appliance is connected with microprocessor respectively, microprocessor respectively with power supply, precaution device connects, wireless communication module is connected with microprocessor, wireless communication module in radio network gateway in Power Transformer Faults Surveillance center and each electricity transformer monitoring device carries out the two-way wireless communication of one-to-many.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610027929.2A CN105486959A (en) | 2016-01-17 | 2016-01-17 | Power transformer fault diagnosis system based on Internet-of-things and cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610027929.2A CN105486959A (en) | 2016-01-17 | 2016-01-17 | Power transformer fault diagnosis system based on Internet-of-things and cloud computing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105486959A true CN105486959A (en) | 2016-04-13 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610027929.2A Pending CN105486959A (en) | 2016-01-17 | 2016-01-17 | Power transformer fault diagnosis system based on Internet-of-things and cloud computing |
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| CN (1) | CN105486959A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106019025A (en) * | 2016-07-19 | 2016-10-12 | 重庆峰创科技有限公司 | Power transformer fault diagnosing system based on Internet of things and cloud computation |
| CN106054001A (en) * | 2016-07-31 | 2016-10-26 | 重庆峰创科技有限公司 | Power transformer fault diagnosis system based on Internet of things |
| CN106707890A (en) * | 2017-02-17 | 2017-05-24 | 巴音郭楞职业技术学院 | Power transformer fault diagnosis system based on Internet of Things |
| CN106802599A (en) * | 2017-02-17 | 2017-06-06 | 巴音郭楞职业技术学院 | A kind of diagnosing fault of power transformer system based on expert database |
| CN107843782A (en) * | 2017-10-23 | 2018-03-27 | 苏州亿科赛卓电子科技有限公司 | A kind of data center's high-voltage electrical apparatus monitoring system based on technology of Internet of things |
| CN110319886A (en) * | 2019-07-24 | 2019-10-11 | 国网河南省电力公司漯河供电公司 | Match net state real-time information collection and fault diagnosis system based on cloud computing |
-
2016
- 2016-01-17 CN CN201610027929.2A patent/CN105486959A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106019025A (en) * | 2016-07-19 | 2016-10-12 | 重庆峰创科技有限公司 | Power transformer fault diagnosing system based on Internet of things and cloud computation |
| CN106054001A (en) * | 2016-07-31 | 2016-10-26 | 重庆峰创科技有限公司 | Power transformer fault diagnosis system based on Internet of things |
| CN106707890A (en) * | 2017-02-17 | 2017-05-24 | 巴音郭楞职业技术学院 | Power transformer fault diagnosis system based on Internet of Things |
| CN106802599A (en) * | 2017-02-17 | 2017-06-06 | 巴音郭楞职业技术学院 | A kind of diagnosing fault of power transformer system based on expert database |
| CN107843782A (en) * | 2017-10-23 | 2018-03-27 | 苏州亿科赛卓电子科技有限公司 | A kind of data center's high-voltage electrical apparatus monitoring system based on technology of Internet of things |
| CN110319886A (en) * | 2019-07-24 | 2019-10-11 | 国网河南省电力公司漯河供电公司 | Match net state real-time information collection and fault diagnosis system based on cloud computing |
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| C06 | Publication | ||
| PB01 | Publication | ||
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| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160413 |