CN203241071U - A power transformer remote fault diagnosis system based on Internet - Google Patents
A power transformer remote fault diagnosis system based on Internet Download PDFInfo
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- CN203241071U CN203241071U CN 201320068602 CN201320068602U CN203241071U CN 203241071 U CN203241071 U CN 203241071U CN 201320068602 CN201320068602 CN 201320068602 CN 201320068602 U CN201320068602 U CN 201320068602U CN 203241071 U CN203241071 U CN 203241071U
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Abstract
The utility model discloses a power transformer remote fault diagnosis system based on Internet. The power transformer remote fault diagnosis system comprises multiple signal acquiring terminals and a data management and analysis platform. The signal acquiring terminals are connected with sensor units and are connected with the data management and analysis platform. The signal acquiring terminal comprises a signal conditioning circuit, an A/D sampling module, and a control module. The signal conditioning circuit is connected with a sensor unit. The A/D sampling module is connected with the signal conditioning circuit. The control module is connected with the A/D sampling module and the data management and analysis platform. The sensor unit comprises a vibration sensor, a voltage sensor, a current sensor, and a temperature sensor. The power transformer remote fault diagnosis system is capable of saving maintenance cost and prolonging the service life of a transformer.
Description
Technical field
The utility model belongs to power equipment monitoring, diagnosing technical field, is specifically related to a kind of power transformer remote failure diagnosis system of Internet-based.
Background technology
Large-scale power transformer is node important in the electrical network, and the safe operation of large-scale power transformer is extremely important for the reliability service of electrical network.The running status that adopts vibration analysis method on-line monitoring transformer is a study hotspot in recent years, and its main points are to detect transformer whether abnormal or fault by the tank surface vibration signal of analyzing power transformer.When the vibration of transformer abnormal and noise, vibration can significantly increase.The strong vibration meeting of transformer affects the safe operation of transformer, and the winding of transformer and iron core etc. are partly broken down, and also surrounding enviroment is produced noise pollution simultaneously.
During power transformer stable operation, mainly from the magneto-striction phenomenon of ferromagnetic material, the vibration of winding then is to be subject to electromagnetic force by the energising winding in stray field to produce in the vibration of iron core.Winding is connected vibration and is transmitted dual mode and be delivered to the oil tank of transformer surface by inner firmware transmission and the insulating oil of connecting of transformer with iron core, produce vibration at tank surface.Therefore, state and the failure message by monitoring Transformer Winding and iron core to vibration survey and the analyzing and processing on oil tank of transformer surface.
Large-scale power transformer is the hinge equipment in the network system.Traditional transformer fault detects and transformer need to be cut off the power supply, and then detects by the whole bag of tricks, and this can bring larger economic loss.The running status that adopts vibration analysis method on-line monitoring transformer is a study hotspot in recent years, and its main points are to detect transformer whether abnormal or fault by the tank surface vibration signal of analyzing power transformer.
In existing technology, data acquisition system (DAS) mostly is individual system, and perhaps single PC can only satisfy a user's measurement demand like this, and accessible number of probes is limited on the individual system, and extendability is very poor.If but realize with many measuring systems, can not guarantee again the synchronism of data, and real-time correlation data, do not reach the requirement of on-line monitoring.
Summary of the invention
For the existing above-mentioned technological deficiency of prior art, the utility model provides a kind of power transformer remote failure diagnosis system of Internet-based, can realize many test macro unified managements, and the multi-user monitors running state of transformer.
A kind of power transformer remote failure diagnosis system of Internet-based, comprise: a plurality of signals collecting terminals and a data administrative analysis platform, described signals collecting terminal is connected with sensor unit, and the signals collecting terminal links to each other with the data management analysis platform; Wherein:
Sensor unit is used for gathering vibration signal, voltage signal, current signal and the oil temperature signal of power transformer;
The signals collecting terminal is used for the signal that collects nursed one's health amplifies and analog to digital conversion, and according to the instruction of data management analysis platform, intercepting respective handling signal later is transferred to the data management analysis platform;
The data management analysis platform is used for according to the signal that receives power transformer being carried out fault diagnosis, output diagnostic result and data.
Described sensor unit involving vibrations sensor, voltage sensor, current sensor and temperature sensor.
Described signals collecting terminal comprises signal conditioning circuit, A/D sampling module and control module; Signal conditioning circuit links to each other with sensor unit, and the A/D sampling module links to each other with signal conditioning circuit, and control module links to each other with the data management analysis platform with the A/D sampling module; Wherein:
The signal condition module is used to each sensor that reliable power supply is provided, and sensor output signal is amplified and filtering;
The A/D sampling module is used for the settling signal analog quantity to the conversion of digital quantity, and its conversion process is finished under control module control; Between A/D sampling module and the control module unified interface must be arranged;
Control module receives the instruction from the data management analysis platform, and according to the data-signal of instruction acquisition dimension, and data-signal is transferred to the data management analysis platform.
The data management analysis platform comprises signals collecting terminal interaction module, monitoring, diagnosing service module, diagnosis algorithm storehouse, database and user interactive module; Wherein, signals collecting terminal interaction module links to each other with the signals collecting terminal, and the monitoring, diagnosing service module links to each other with database with signals collecting terminal interaction module, diagnosis algorithm storehouse, and user interactive module links to each other with database with signals collecting terminal interaction module; Wherein:
Signals collecting terminal interaction module is used for guaranteeing the reliability that the data management analysis platform is connected with the signals collecting terminal, and communication interface is provided for other modules;
The monitoring, diagnosing service module is used for regularly reading the data of vibration, voltage, electric current and temperature from each signals collecting terminal, and according to the diagnosis algorithm storehouse, calculate the characteristic quantity of various algorithms, and this numerical result is deposited in database;
The diagnosis algorithm storehouse is a set of fault diagnosis algorithm, and presents to the monitoring, diagnosing service module with unified interface; Diagnosis algorithm must be with the vibration of transformer, and input voltage, electric current are reference;
User interactive module is used for the mutual of responsible and terminal user, and domestic consumer can pass through the data that this module inquiry is correlated with, and the keeper can also carry out some privileged operations, as systematic parameter is set except inquiring about;
Database is used for storage transformer information, vibration data, the information such as diagnostic result.
Described signals collecting terminal links to each other with the data management analysis platform by Ethernet, GPRS or fieldbus.
Described terminal user is divided into domestic consumer and keeper.The terminal user by with the data management analysis platform in the client-access that is complementary of user interactive module.
Useful technique effect of the present utility model is as follows:
(1) the utility model can carry out Real-time Collection, processing, analysis to the transformer vibration; And providing Real-time Monitoring Data to the user, early warning situation and analysis report are saved maintenance cost, prolong transformer serviceable life.
(2) extendability of the present utility model is very strong, and the quantity of signals collecting terminal is not limited, can monitor many transformers simultaneously, contrasts the vibration information between the different transformers.
(3) the utility model supports that the multi-user checks the real-time vibration information of related transformer simultaneously, and the keeper also has authority to revise systematic parameter.
(4) support being connected of various ways in the utility model between data management analysis platform and the signals collecting terminal, the signals collecting terminal can be distributed in the optional position.
Description of drawings
Fig. 1 is the structural representation of the utility model system.
Fig. 2 is the structural representation of signals collecting terminal.
Fig. 3 is the structural representation of data management analysis platform.、
Fig. 4 is the workflow synoptic diagram of control module in the signals collecting terminal.
Fig. 5 is the workflow synoptic diagram of monitoring, diagnosing service module in the data management analysis platform.
Embodiment
In order more specifically to describe the utility model, below in conjunction with the drawings and the specific embodiments the technical solution of the utility model is elaborated.
As shown in Figure 1, a kind of power transformer remote failure diagnosis system of Internet-based, comprise: a plurality of signals collecting terminals and a data administrative analysis platform, the signals collecting terminal is connected with sensor unit, and the signals collecting terminal links to each other with the data management analysis platform by Ethernet; Wherein:
Sensor unit is used for gathering vibration signal, voltage signal, current signal and the oil temperature signal of power transformer; In the present embodiment, sensor unit comprises No. 8 vibration transducers, 3 road voltage sensors, No. 3 current sensors and No. 1 temperature sensor; Multichannel data is sampled simultaneously, guarantees data's consistency.
As shown in Figure 2, the signals collecting terminal comprises signal conditioning circuit, A/D sampling module and control module; Signal conditioning circuit links to each other with sensor unit, and the A/D sampling module links to each other with signal conditioning circuit, and control module links to each other with the data management analysis platform with the A/D sampling module; Wherein:
The signal condition module is used to each sensor that reliable power supply is provided, and the sensor outputting analog signal is amplified first, again by a low-pass filter, makes the input of output signal coupling A/D sampling module;
The A/D sampling module is used for the settling signal analog quantity to the conversion of digital quantity, and its conversion process is finished under control module control; In the present embodiment, the A/D sampling module is the sampling card of a PC104 interface, between itself and the control module unified interface must be arranged;
Control module receives the instruction from the data management analysis platform, and according to the work of instruction control A/D sampling module, gathers the data-signal of dimension, and data-signal is transferred to the data management analysis platform; In the present embodiment, control module is the built-in industrial control machine of a PC104 interface, and is moving control program, and its idiographic flow as shown in Figure 4.
As shown in Figure 3, the data management analysis platform is a server that acquisition analysis system is housed, and it comprises signals collecting terminal interaction module, monitoring, diagnosing service module, diagnosis algorithm storehouse, database and user interactive module; Wherein, signals collecting terminal interaction module links to each other with the signals collecting terminal, and the monitoring, diagnosing service module links to each other with database with signals collecting terminal interaction module, diagnosis algorithm storehouse, and user interactive module links to each other with database with signals collecting terminal interaction module; Wherein:
Signals collecting terminal interaction module is used for guaranteeing the reliability that the data management analysis platform is connected with the signals collecting terminal called, and this comprises, and the signals collecting SOT state of termination detects, disconnection reconnecting, and this module provides communication interface for simultaneously other modules;
The monitoring, diagnosing service module is used for regularly reading the data of vibration, voltage, electric current and temperature from each signals collecting terminal, and according to the diagnosis algorithm storehouse, calculate the characteristic quantity of various algorithms, and this numerical result is deposited in database; The workflow of this module as shown in Figure 5;
The diagnosis algorithm storehouse is a set of fault diagnosis algorithm, comprises multiple different diagnostic analysis algorithm, and presents to the monitoring, diagnosing service module with unified interface; Diagnosis algorithm must be with the vibration of transformer, and input voltage, electric current are reference, and Output rusults is a digital quantity that represents transformer state; This algorithms library also provides the threshold value of various algorithms simultaneously;
User interactive module is used for the mutual of responsible and terminal user, and domestic consumer can pass through the data that this module inquiry is correlated with, and the keeper can also carry out some privileged operations, as systematic parameter is set except inquiring about; In the present embodiment, user interactive module is a web services end, and the user can come with the data management analysis platform mutual with the form of browsing page like this;
Database is used for storage transformer information, vibration data, the information such as diagnostic result; In the present embodiment, database is a relevant database mySQL.
The terminal user is divided into domestic consumer and keeper, and the user must have the client that is complementary with data management analysis platform user interactive module.In the present embodiment, the terminal user only needs common web browser to get final product; Distinguishing according to the user name that logs in is domestic consumer or keeper, and domestic consumer can only browsing page, but keeper's parameters adds signals collecting terminal etc.
The specific works process of present embodiment is as follows:
When step 1, system were normally moved, the every interval of data management analysis platform monitoring, diagnosing service module meeting certain hour sent acquisition instructions to each signals collecting terminal simultaneously, and this instruction comprises the sampling time, sample frequency, sampling channel number.After sending instruction, the returning of system wait data.Can be configured to 10 seconds or 1 minute interval time.
Step 2, signals collecting terminal get started sampling after receiving the instruction of data management analysis platform transmission.At once data are sent to the data management analysis platform after sampling is finished, if the signals collecting terminal is sampled, the sampling instruction of receiving this moment so will be left in the basket.
After step 3, data management analysis platform are received data from each signals collecting terminal, beginning conventionally calculation and fault diagnosis, conventionally calculation mainly is the amplitude of calculating peak value, effective value and the each harmonic of vibration.Fault diagnosis calculates the characteristic of correspondence amount by calling the algorithm in the algorithms library, and judges whether to exist fault according to relevant threshold value.Final all conventionally calculation result and equal write into Databasces of fault diagnosis result.
When the terminal user browsed related data, the user interactive module of data management analysis platform can inquire relevant data according to condition from database, and the result is returned to the user.The data that domestic consumer can browse comprise, the vibrational waveform of any time, and the diagnostic result of any time, the trend data of frequently-used data is such as the amplitude of each harmonic.The keeper can also carry out as adding a signals collecting terminal operations such as sampling parameter being set except checking data.
Claims (2)
1. the power transformer remote failure diagnosis system of an Internet-based comprises a plurality of signals collecting terminals and a data administrative analysis platform; It is characterized in that: described signals collecting terminal is connected with sensor unit, and the signals collecting terminal links to each other with the data management analysis platform;
Described signals collecting terminal comprises signal conditioning circuit, A/D sampling module and control module; Signal conditioning circuit links to each other with sensor unit, and the A/D sampling module links to each other with signal conditioning circuit, and control module links to each other with the data management analysis platform with the A/D sampling module;
Described sensor unit involving vibrations sensor, voltage sensor, current sensor and temperature sensor.
2. remote failure diagnosis system according to claim 1 is characterized in that: described signals collecting terminal links to each other with the data management analysis platform by Ethernet, GPRS or fieldbus.
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201320068602 CN203241071U (en) | 2013-02-06 | 2013-02-06 | A power transformer remote fault diagnosis system based on Internet |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201320068602 CN203241071U (en) | 2013-02-06 | 2013-02-06 | A power transformer remote fault diagnosis system based on Internet |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769053A (en) * | 2016-12-07 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of hydraulic turbine fault diagnosis system and method based on acoustic emission signal |
| CN106952182A (en) * | 2017-03-24 | 2017-07-14 | 广东电网有限责任公司电力科学研究院 | A kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature |
| CN108388950A (en) * | 2018-01-29 | 2018-08-10 | 杭州安脉盛智能技术有限公司 | Intelligent transformer O＆M method and system based on big data |
| CN109029582A (en) * | 2018-08-17 | 2018-12-18 | 国网江苏省电力有限公司盐城供电分公司 | A kind of Power Transformer Faults on-line detecting system based on many kinds of parameters acquisition |
-
2013
- 2013-02-06 CN CN 201320068602 patent/CN203241071U/en not_active Expired - Lifetime
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106769053A (en) * | 2016-12-07 | 2017-05-31 | 贵州电网有限责任公司电力科学研究院 | A kind of hydraulic turbine fault diagnosis system and method based on acoustic emission signal |
| CN106952182A (en) * | 2017-03-24 | 2017-07-14 | 广东电网有限责任公司电力科学研究院 | A kind of Winding in Power Transformer method for diagnosing faults based on vibration distribution feature |
| CN108388950A (en) * | 2018-01-29 | 2018-08-10 | 杭州安脉盛智能技术有限公司 | Intelligent transformer O＆M method and system based on big data |
| CN109029582A (en) * | 2018-08-17 | 2018-12-18 | 国网江苏省电力有限公司盐城供电分公司 | A kind of Power Transformer Faults on-line detecting system based on many kinds of parameters acquisition |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: TAIZHOU POWER SUPPLY COMPANY, STATE GRID ZHEJIANG Free format text: FORMER OWNER: ZHEJIANG UNIVERSITY Effective date: 20140403 Owner name: STATE GRID CORPORATION OF CHINA Free format text: FORMER OWNER: STATE GRID ZHEJIANG WENLING POWER SUPPLY COMPANY Effective date: 20140403 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 317500 TAIZHOU, ZHEJIANG PROVINCE TO: 100031 XICHENG, BEIJING |
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| TR01 | Transfer of patent right |
Effective date of registration: 20140403 Address after: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Patentee after: State Grid Corporation of China Patentee after: STATE GRID ZHEJIANG ELECTRIC POWER COMPANY TAIZHOU POWER SUPPLY Co.,Ltd. Patentee after: STATE GRID ZHEJIANG WENLING POWER SUPPLY COMPAMY Patentee after: ZHEJIANG University Address before: 317500, 58 Jinping Road, Taiping Street, Wenling, Zhejiang, Taizhou Patentee before: STATE GRID ZHEJIANG WENLING POWER SUPPLY COMPAMY Patentee before: Zhejiang University |
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| CX01 | Expiry of patent term |
Granted publication date: 20131016 |
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| CX01 | Expiry of patent term |