CN202645849U - Wind turbine generator state monitoring and fault diagnosing system coupled with control system - Google Patents
Wind turbine generator state monitoring and fault diagnosing system coupled with control system Download PDFInfo
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- CN202645849U CN202645849U CN2012203363713U CN201220336371U CN202645849U CN 202645849 U CN202645849 U CN 202645849U CN 2012203363713 U CN2012203363713 U CN 2012203363713U CN 201220336371 U CN201220336371 U CN 201220336371U CN 202645849 U CN202645849 U CN 202645849U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The utility model relates to a wind turbine generator state monitoring and fault diagnosing system coupled with a control system. The wind turbine generator state monitoring and fault diagnosing system comprises vibration sensors, a rotational speed sensor, a data acquisition card, a PLC (programmable logic control) acquirer and a data server, and the PLC acquirer is internally provided with a data extraction program, a data acquisition program and an embedded C-language program, reads operating parameters of a fan from a master PLC (programmable logic controller) via the data extraction program, and reads vibration and rotational speed signals from the data acquisition card via the data acquisition program. The wind turbine generator state monitoring and fault diagnosing system has the advantages of high universality, reliability in performance, low cost and the like. In addition, the parameters such as power, blade angles, oil temperature, wind speed and yaw angles are read from the master control system by a field bus or in an analog quantity mode, so that fault diagnosing accuracy is improved, and the purpose of comprehensively diagnosing a wind turbine generator is achieved. Besides, data are transmitted to the data server via an existing optical network of a wind field or in a wireless manner, so that safe and stable operation of the wind turbine generator can be effectively guaranteed by a fault database and a client of the data server.
Description
Technical field
The utility model relates to a kind of wind energy conversion system on-line monitoring and fault diagnosis system, particularly relates to a kind of wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system.
Background technique
Continuous growth along with the wind-driven generator pool-size; system architecture is day by day complicated; different parts couplings are tightr; a small fault may be propagated into catastrophic major break down; cause the wind energy conversion system shutdown; even directly cause wind energy conversion system to damage, and cause huge economic loss, utilize on-line condition monitoring and fault diagnosis system loss can be reduced to minimum.
Utilize on-line condition monitoring and fault diagnosis system, can carry out continuous monitoring to the Vibration Condition of each rapid wear mechanical part of wind energy conversion system, the information of Real-time Obtaining reflection wind energy conversion system running state after various information are carried out analysing and processing, provides status report and the diagnostic result of equipment operation.But traditional on-line condition monitoring is not communicated by letter with the wind energy conversion system control system with fault diagnosis system or is integrated, can not obtain wind speed, power, vane angle, oil temperature, and the parameters such as yaw angle can not realize the comprehensive diagnos to wind energy conversion system.
This shows that above-mentioned existing wind-powered electricity generation unit condition monitoring and failure diagnosis system obviously still has inconvenience and defective, and demands urgently further being improved consisting of and using.But how to found the parameters such as a kind of comprehensive power, blade angle, oil temperature, complete machine oscillation, wind speed, yaw angle the wind-powered electricity generation unit is carried out comprehensive diagnos, thereby improve the new wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system of the accuracy of fault diagnosis, real one of the current important research and development problem that belongs to.
The model utility content
The technical problems to be solved in the utility model provides a kind of wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system, make it can extract the parameters such as power in the blower fan master control system, vane angle, oil temperature, wind speed, yaw angle, and be not limited to these parameters, the wind-powered electricity generation unit is carried out comprehensive diagnos, thereby improve the accuracy of fault diagnosis, overcome the deficiency of existing wind-powered electricity generation unit condition monitoring and failure diagnosis system.
For solving the problems of the technologies described above, a kind of wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system of the utility model comprises: the vibration transducer that obtains the fan vibration signal; Detect the speed probe of rotation speed of fan; Data collecting card from vibration transducer, speed probe collection signal; Built-in data extraction program, data acquisition program and embedded type C program, and from main control PLC, read the fan operation parameter by data extraction program, from data collecting card, read the PLC collector of vibration and tach signal by data acquisition program; And the data server that is connected with the PLC collector.
As a kind of improvement of the present utility model, described data server connects many PLC collectors simultaneously.
Described data server also is connected with client end.
Described data server utilizes the wind field looped network and adopts the TCP/IP wired communication protocol to communicate by letter with the PLC collector, perhaps adopts the communication of GPRS wireless communication protocol.
The encoder that described speed probe adopts approach switch or generator to carry.
Described PLC collector is by mode and the main control PLC communication connection of bus or analog amount.
After adopting such design, the utlity model has the characteristics such as highly versatile, reliable performance, cost be low, mode by Field bus or analog amount reads from master control system such as parameters such as power, blade angle, oil temperature, wind speed, yaw angles, and be not limited to these parameters, improve the accuracy of fault diagnosis, to reach the purpose to wind-powered electricity generation unit comprehensive diagnos.The utility model also utilizes existing fiber network or the radio communication of wind field that data are passed to data server, and the fault database of data server and client end can effectively guarantee the safe and stable operation of wind power generating set.
Description of drawings
Above-mentioned only is the general introduction of technical solutions of the utility model, and for can clearer understanding technological means of the present utility model, the utility model is described in further detail below in conjunction with accompanying drawing and embodiment.
Fig. 1 is the composition schematic representation that the utility model is coupled in the wind-powered electricity generation unit condition monitoring and failure diagnosis system of control system.
Embodiment
See also shown in Figure 1ly, the utility model is coupled in the main involving vibrations sensor of wind-powered electricity generation unit condition monitoring and failure diagnosis system, speed probe, data collecting card, PLC collector and the data server of control system.
Vibration transducer obtains the fan vibration signal, and speed probe detects rotation speed of fan, and data collecting card is from vibration transducer, speed probe collection vibration and tach signal.Wherein, speed probe can adopt the encoder that approach switch or generator carry.
The PLC collector is built-in with data extraction program, data acquisition program and embedded type C program, because the embedded type C program can cross-platformly be transplanted, not limited by PLC brand and operation system, so be the multiple use of primary development.
The PLC collector is by mode and the main control PLC communication connection of bus or analog amount, from main control PLC, read wind speed, power, vane angle by data extraction program, oil temperature, the fan operation parameters such as yaw angle, and be not limited to these parameters and from data collecting card, read vibration and tach signal by data acquisition program.
Data extraction program and main control PLC are carried out exchanges data, data extraction program and data acquisition program carry out exchanges data, data acquisition program passes to the embedded type C program with initial data, and the embedded type C program is carried out data and calculated and communicate with data server.
Data server is calculated and be uploaded to PLC collector and data server communication connection with all parameter signals that collect.One number of units can connect many PLC collectors simultaneously according to server, apparent wind field communication condition can adopt wind field looped network, TCP/IP wired communication protocol or GPRS wireless communication protocol, transmission means and data format will be consistent, be that communications mode and the data format that dissimilar wind energy conversion system controller and data server adopt will be consistent, dissimilar controllers and vibration module can use same server.Data server also can be connected with client end.
Below enumerating specific embodiment further specifies the utility model.
The main flow controller of wind energy conversion system has times good fortune and Ingeborg Bachmann at present.The vibration module of times good fortune adopts EL3632, and EL3632 can directly expand in master control system, and each EL3632 comprises two vibrating channels, generally adopts 4 EL3632; The vibration module of Ingeborg Bachmann adopts AIC212, and AIC212 comprises 9 and IEPE passage, 3 ± 10V voltage channel, 1 incremental encoder passage, 2 count pulse passages.Controller is selected MX213, realize the configuration of each module and reading of master variable by Bachmann company Solution Center software configuration, after the data preliminary treatment, wireless telecommunications by Welotec company's T K701G wireless router with data transmission to remote server.Wire communication adopts Ethernet and external communication.
After collecting the vibration initial data data are passed to embedded type C program computing module, times good fortune PLC adopts the R3IO mode to carry out exchanges data, Ingeborg Bachmann adopts the SVI mode to advance exchanges data, and embedded type C program computing module is responsible for data and is calculated and basic statistical computation.
Vibration module transfers data to computing module after having gathered data, data are calculated, the data that most are conducive to diagnose are preserved, with not being that the data that are conducive to diagnose are most rejected, reduce data volume, computing module can directly extract the data that oneself need in master control, and can be according to the some of them parameter, for example wind speed, power, vane angle, oil temperature, the parameters such as yaw angle improve the validity of vibration measurement.The server of central control chamber can manage the communication of wind field wind energy conversion system, in order to avoid cause communication blocking.
The data collecting card of PLC collector is only done raw data acquisition, transfers data to afterwards embedded type C program computing module, data communication device is crossed ICP/IP protocol send database in the data server to by the wind field looped network.Database is realized the initial data storage and calls that database has certain computing function, and the data after initial data and the processing are stored in the lump, stores simultaneously the common eigen frequency information of various parts that each type uses, and makes things convenient for the client software quick search.Set up power wind energy conversion system Mishap Database, be used for all wind energy conversion system fault messages of record.Set up the wind energy conversion system fault database, under record different model, component, working environment, working time, the maintenance condition, the various fault messages that unit occurs.Behind the long-term accumulation fault message, carry out statistical analysis, for new architecture design provides reference.
Should comprise related administrative information data, real time data, historical data in the system database.Management information data is drawn together customer management information, unit configuration management information (the supporting situation of set structure parts), alarming and managing information (corresponding different unit different measuring points arrange multiple Type of alarm), journaling information; Real-time data base is made of a File and time waveform File, corresponding status parameter and the statistical indicator (comprising sampling time, channel number, sample frequency, data length, generating unit speed, power, wind speed, state of alarm, peak-to-peak value, effective value, kurtosis etc.) that calculates during data set record real-time data acquisition, time waveform data set record sampling time and corresponding time domain data; Historical data base is the timing combined data from real-time data base, to store by the time granularity in sky, week, the moon, year, and the process variable data such as stores synchronized rotating speed, wind speed, power, wind direction, can be according to process variable and time granularity in conjunction with carrying out compound trends analysis in the trends analysis.
As mentioned above, the utility model provides a kind of wind-driven generator master control based on PLC and the integrated system of vibration online monitoring, and parameter can be called mutually by internal communication.With PLC as data acquisition unit, by the step-by-step counting card or read the encoder that generator carries and obtain generator speed, CMS realizes communicating by letter with the blower fan main control PLC by Field bus, obtain such as wind speed, power, vane angle, oil temperature, the parameters such as yaw angle improve the accuracy of fault diagnosis, realize the comprehensive diagnos to blower fan.System utilizes the existing fiber network of wind field that data are passed to data server, and sets up the wind field Mishap Database, under record different model, component, working environment, working time, the maintenance condition, and the various fault messages that unit occurs.Carry out statistical analysis behind the long-term accumulation fault message, for new architecture design provides reference, and set up client end, client end can the remote access data server.
Because existing controller of fan adopts PLC control mostly, provides convenience for CMS communicates by letter with blower fan main control PLC, data server.Obtain wind speed, power, vane angle by the blower fan main control PLC, oil temperature, the parameters such as yaw angle gather these parameters than the mode by analog amount, have saved analog data collection card and circuit thereof, and have reduced cost and space hold.
The above; it only is preferred embodiment of the present utility model; be not that the utility model is done any pro forma restriction, those skilled in the art utilize the technology contents of above-mentioned announcement to make a little simple modification, equivalent variations or modification, all drop in the protection domain of the present utility model.
Claims (6)
1. wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system is characterized in that comprising:
Obtain the vibration transducer of fan vibration signal;
Detect the speed probe of rotation speed of fan;
Data collecting card from vibration transducer, speed probe collection signal;
Built-in data extraction program, data acquisition program and embedded type C program, and from main control PLC, read the fan operation parameter by data extraction program, from data collecting card, read the PLC collector of vibration and tach signal by data acquisition program; And
The data server that is connected with the PLC collector.
2. the wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system according to claim 1 is characterized in that described data server connects many PLC collectors simultaneously.
3. the wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system according to claim 1 is characterized in that described data server also is connected with client end.
4. the wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system according to claim 1, it is characterized in that described data server and PLC collector utilize the wind field looped network and adopt the TCP/IP wired communication protocol to communicate by letter, and perhaps adopt the communication of GPRS wireless communication protocol.
5. the wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system according to claim 1 is characterized in that the encoder that described speed probe adopts approach switch or generator to carry.
6. the wind-powered electricity generation unit condition monitoring and failure diagnosis system that is coupled in control system according to claim 1 is characterized in that described PLC collector is by mode and the main control PLC communication connection of bus or analog amount.
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| CN2012203363713U CN202645849U (en) | 2012-07-10 | 2012-07-10 | Wind turbine generator state monitoring and fault diagnosing system coupled with control system |
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| CN2012203363713U CN202645849U (en) | 2012-07-10 | 2012-07-10 | Wind turbine generator state monitoring and fault diagnosing system coupled with control system |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102748214A (en) * | 2012-07-10 | 2012-10-24 | 国电联合动力技术有限公司 | Wind generation set state monitoring and fault diagnosis system coupled to control system |
| CN103645060A (en) * | 2013-11-08 | 2014-03-19 | 北京能高自动化技术股份有限公司 | Method for recognizing and diagnosing sudden failures of wind generating set based on state monitoring system |
| CN103867402A (en) * | 2014-03-06 | 2014-06-18 | 武汉科技大学 | Condition monitoring system of generator set |
| CN104764487A (en) * | 2015-03-05 | 2015-07-08 | 浙江大学 | GPRS-based wind power gear box remote monitoring and diagnosis method |
| CN105201740A (en) * | 2015-10-26 | 2015-12-30 | 北京能高自动化技术股份有限公司 | Automatic control system and method for yaw braking torque of wind generating set |
| US20160109329A1 (en) * | 2013-04-05 | 2016-04-21 | Aktiebolaget Skf | Method, computer program product & system |
| CN104329222B (en) * | 2014-10-09 | 2017-03-15 | 国电南瑞科技股份有限公司 | A kind of on-line condition monitoring being integrated in fan master control system and method for diagnosing faults |
| CN109254736A (en) * | 2018-10-25 | 2019-01-22 | 北京鼎好鑫源科技有限公司 | A kind of system of condition monitoring and data self-sizing storage method |
| US10677685B2 (en) | 2013-04-05 | 2020-06-09 | Aktiebolaget Skf | Method, computer program product and system |
| CN114183313A (en) * | 2022-01-15 | 2022-03-15 | 湖南工程学院 | Wind driven generator tower data acquisition and state monitoring system and method |
| US11708815B2 (en) | 2021-02-08 | 2023-07-25 | General Electronic Company | System and method for controlling a wind turbine |
| US11774324B2 (en) | 2021-03-12 | 2023-10-03 | General Electric Renovables Espana, S.L. | System and method for detecting actual slip in a coupling of a rotary shaft |
| US11913429B2 (en) | 2021-04-29 | 2024-02-27 | General Electric Renovables Espana, S.L. | System and method for slip detection and surface health monitoring in a slip coupling of a rotary shaft |
-
2012
- 2012-07-10 CN CN2012203363713U patent/CN202645849U/en not_active Withdrawn - After Issue
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102748214B (en) * | 2012-07-10 | 2014-09-03 | 国电联合动力技术有限公司 | Wind generation set state monitoring and fault diagnosis system coupled to control system |
| CN102748214A (en) * | 2012-07-10 | 2012-10-24 | 国电联合动力技术有限公司 | Wind generation set state monitoring and fault diagnosis system coupled to control system |
| US10677685B2 (en) | 2013-04-05 | 2020-06-09 | Aktiebolaget Skf | Method, computer program product and system |
| US20160109329A1 (en) * | 2013-04-05 | 2016-04-21 | Aktiebolaget Skf | Method, computer program product & system |
| CN103645060B (en) * | 2013-11-08 | 2016-05-04 | 北京能高自动化技术股份有限公司 | Wind power generating set catastrophic failure identifying and diagnosing method based on condition monitoring system |
| CN103645060A (en) * | 2013-11-08 | 2014-03-19 | 北京能高自动化技术股份有限公司 | Method for recognizing and diagnosing sudden failures of wind generating set based on state monitoring system |
| CN103867402A (en) * | 2014-03-06 | 2014-06-18 | 武汉科技大学 | Condition monitoring system of generator set |
| CN104329222B (en) * | 2014-10-09 | 2017-03-15 | 国电南瑞科技股份有限公司 | A kind of on-line condition monitoring being integrated in fan master control system and method for diagnosing faults |
| CN104764487B (en) * | 2015-03-05 | 2017-04-12 | 浙江大学 | GPRS-based wind power gear box remote monitoring and diagnosis method |
| CN104764487A (en) * | 2015-03-05 | 2015-07-08 | 浙江大学 | GPRS-based wind power gear box remote monitoring and diagnosis method |
| CN105201740A (en) * | 2015-10-26 | 2015-12-30 | 北京能高自动化技术股份有限公司 | Automatic control system and method for yaw braking torque of wind generating set |
| CN105201740B (en) * | 2015-10-26 | 2017-11-14 | 北京能高自动化技术股份有限公司 | The automatic control system and method for wind generating set yaw braking moment |
| CN109254736A (en) * | 2018-10-25 | 2019-01-22 | 北京鼎好鑫源科技有限公司 | A kind of system of condition monitoring and data self-sizing storage method |
| US11708815B2 (en) | 2021-02-08 | 2023-07-25 | General Electronic Company | System and method for controlling a wind turbine |
| US11774324B2 (en) | 2021-03-12 | 2023-10-03 | General Electric Renovables Espana, S.L. | System and method for detecting actual slip in a coupling of a rotary shaft |
| US11913429B2 (en) | 2021-04-29 | 2024-02-27 | General Electric Renovables Espana, S.L. | System and method for slip detection and surface health monitoring in a slip coupling of a rotary shaft |
| CN114183313A (en) * | 2022-01-15 | 2022-03-15 | 湖南工程学院 | Wind driven generator tower data acquisition and state monitoring system and method |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: NATIONAL ELECTRIC NEW ENERGY TECHNOLOGY INSTITUTE Effective date: 20130701 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20130701 Address after: 100000 Beijing City, Zhongguancun, South Street, building B, building No., level 56, level 16 Patentee after: Guodian United Power Technology Co., Ltd. Patentee after: Guodian New Energy Technology Institute Address before: 100000 Beijing City, Zhongguancun, South Street, building B, building No., level 56, level 16 Patentee before: Guodian United Power Technology Co., Ltd. |
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| AV01 | Patent right actively abandoned |
Granted publication date: 20130102 Effective date of abandoning: 20140903 |
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| RGAV | Abandon patent right to avoid regrant |