CN102758727B - Wind turbine state monitoring and error diagnosis system and method integrated into control system - Google Patents
Wind turbine state monitoring and error diagnosis system and method integrated into control system Download PDFInfo
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- CN102758727B CN102758727B CN201210241352.7A CN201210241352A CN102758727B CN 102758727 B CN102758727 B CN 102758727B CN 201210241352 A CN201210241352 A CN 201210241352A CN 102758727 B CN102758727 B CN 102758727B
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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
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- 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 invention discloses a wind turbine state monitoring and error diagnosis system and a wind turbine state monitoring and error diagnosis method integrated into a control system. The system comprises a vibration sensor, a rotation speed sensor, a data acquisition card, a built-in main control program, a data extraction program, a data acquisition program, a main control programmable logic controller (PLC) and a data server. The method comprises the following steps of: extracting running state parameters of a wind turbine from the main control program by the data extraction program; acquiring a vibration signal and a rotation speed signal by the data acquisition card and sending the vibration signal and the rotation speed signal to the data acquisition program; and calculating and analyzing the acquired running state parameters of the wind turbine, the vibration signal and the rotation speed signal by an embedded C program. According to the system and the method, an acquisition module and an analysis module of a monitoring system are integrated into a controller of the wind turbine, so that the acquisition of the vibration data, the processing and the sending of the data and the like are realized in the controller of the wind turbine, and the running state data of the wind turbine also can be directly extracted by the monitoring system so as to realize comprehensive error diagnosis of the wind turbine based on multi-element information.
Description
Technical field
The present invention relates to a kind of wind energy conversion system on-line monitoring and fault diagnosis system and method, particularly relate to a kind of wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system.
Background technique
Along with the continuous growth of wind-driven generator pool-size; system architecture is day by day complicated; between different parts, coupling is tightr; a small fault may be propagated into catastrophic major break down; cause wind energy conversion system shutdown; even directly cause wind energy conversion system to damage, 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 monitor continuously the Vibration Condition of the each rapid wear mechanical part of wind energy conversion system, the information of Real-time Obtaining reflection wind energy conversion system running state, is carrying out after analysing and processing various information, provides status report and the diagnostic result of equipment operation.Traditional on-line condition monitoring is not communicated by letter with wind energy conversion system control system with fault diagnosis system or is integrated, needs independently processor (as PLC), can only carry out fault diagnosis by simple vibration data, thereby still have deficiency and defect.
How to found a kind of the present invention and can directly obtain wind speed, power, vane angle, oil temperature, the wind energy conversion system service datas such as yaw angle, data extraction program can pass to master control system by vibration alarming value.
In the cost-effective while, realize the wind energy conversion system fault diagnosis based on multiple information, and high new the wind energy conversion system condition monitoring and failure diagnosis system and the method that are integrated in control system of level of integration, becoming the current industry utmost point needs improved target.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of wind energy conversion system condition monitoring and failure diagnosis system and method that is integrated in control system, make it can directly from primary control program, obtain wind speed, power, vane angle, oil temperature, the wind energy conversion system service datas such as yaw angle, in the cost-effective while, realize the wind energy conversion system fault diagnosis based on multiple information, and level of integrated system is high, thereby overcomes the deficiency of existing on-line condition monitoring and fault diagnosis system.
For solving the problems of the technologies described above, a kind of wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system of the present invention, comprising: the vibration transducer that obtains fan vibration signal; Detect the speed probe of rotation speed of fan; From the data collecting card of vibration transducer, speed probe collection signal; Built-in primary control program, data extraction program, data acquisition program and embedded type C program, and with the main control PLC of data collecting card communication connection; And the data server being connected with main control PLC.
As a modification of the present invention, described data server is connected with multiple main control PLC simultaneously.
Described data server is also connected with client end.
Described data server utilizes wind field looped network and adopts TCP/IP wired communication protocol to communicate by letter with PLC collector, or adopts the communication of GPRS wireless communication protocol.
The encoder that described speed probe adopts approach switch or generator to carry.
In addition, the present invention also provides the wind energy conversion system condition monitoring and fault diagnosis method of application said system, comprises the following steps: the data extraction program of main control PLC extracts wind energy conversion system running state parameter from primary control program; Data collecting card obtains vibration and the tach signal of vibration transducer and speed probe, and is sent to the data acquisition program of main control PLC; The embedded type C program of main control PLC is calculated and is analyzed the wind energy conversion system running state parameter collecting and vibration, tach signal.
As further improvement, described wind energy conversion system running state parameter comprises wind speed, power, vane angle, oil temperature, yaw angle, generator speed.
Also comprise the process that by described data extraction program, vibration alarming value is passed to primary control program.
In the time that the CPU of main control PLC and memory usage exceed 80%, data collecting card quits work, and restarts until CPU and memory usage are reduced to below 60%.
Adopt after such design, the present invention is integrated in the collection of monitoring system and analysis module in wind energy conversion system controller (as PLC), collection, data processing and the transmission etc. of vibration data directly in wind energy conversion system controller, are realized, meanwhile, supervisory system also can directly be extracted wind energy conversion system running state data, as wind speed, power, vane angle, oil temperature, the parameters such as yaw angle, and be not limited to these parameters, thus realize the wind energy conversion system resultant fault diagnosis based on multiple information.
Brief description of the drawings
Above-mentioned is only the general introduction of technical solution of the present invention, and in order to better understand technological means of the present invention, below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail.
Fig. 1 is the composition schematic diagram that the present invention is integrated in the wind energy conversion system condition monitoring and failure diagnosis system of control system.
Embodiment
Refer to shown in Fig. 1, the present invention is integrated in the wind energy conversion system condition monitoring and failure diagnosis system of control system, is mainly made up of vibration transducer, speed probe, data collecting card, main control PLC and data server.
Vibration transducer obtains fan vibration signal, and speed probe detects rotation speed of fan, and data collecting card is from vibration transducer, speed probe collection signal.Wherein, dual output encoder or approach switch that speed probe also can according to circumstances adopt generator to carry, also can directly call the generator speed signal in primary control program by main control PLC.Data collecting card can adopt and carry out integratedly with the data collecting card of the same brand of existing main control PLC, is conducive to interface unified and realize.
Condition monitoring and failure diagnosis system is expanded on existing wind energy conversion system controller, except original built-in primary control program and embedded type C program, also integrated data extraction program and data acquisition program, and with data collecting card, data server communication connection.
Data extraction program extracts wind speed, power, the change oar of wind energy conversion system from primary control program, oil temperature, and the status parameters such as yaw angle, and be not limited to these parameters, realize the comprehensive diagnos to wind energy conversion system.
The present invention utilizes the CPU of main control PLC as the processor of on-line monitoring system lower-position unit, because vibration analysis program and primary control program complete by the CPU of main control PLC, thereby without being again system disposition CPU puocessing module, and for communication provides greatly convenient, also can improve the accuracy of diagnosis.
Data server of the present invention can connect many PLC collectors simultaneously, apparent wind field communication condition can adopt wind field looped network or radio communication, 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 controller can use same server.In addition, data server also can be connected with client end.
The wind energy conversion system condition monitoring and fault diagnosis method of the present invention's application said system, comprise the following steps: the data extraction program of main control PLC extracts wind speed, power, vane angle from primary control program, oil temperature, the wind energy conversion system such as yaw angle, generator speed status parameter, and be not limited to these parameters, data extraction program also can pass to primary control program by vibration alarming value; Data collecting card obtains vibration and the tach signal of vibration transducer and speed probe, and is sent to the data acquisition program of main control PLC; The embedded type C program of main control PLC is calculated and is analyzed the wind energy conversion system running state parameter collecting and vibration, tach signal.
Because this collection analysis program and primary control program operate in same CPU, may affect the control safety of wind energy conversion system, therefore, it is particularly important that the utilization rate of CPU and internal memory just seems, should avoid CPU and the memory usage of PLC to approach 100% situation appearance, thereby ensure the real-time of wind energy conversion system control.The CPU of the utilization rate function that collection analysis program can be called CPU and internal memory to wind energy conversion system controller and the utilization rate of internal memory are carried out Real-Time Monitoring, as: TC CPU usage: if the utilization rate of CPU and internal memory exceedes 80%, stop the collection of oscillating signal, rate to be used is reduced to 60% to restart vibration acquisition program after interior.
Preferably, communications mode and data format between different wind energy conversion system main control PLC and data server are consistent, and dissimilar wind energy conversion system controller can use same data server.
In addition, in order not take the too much resource of wind energy conversion system controller, the present invention is system optimal data gathering algorithm, and image data is filtered, and ensures that the data that are transferred to data server are all active datas, are conducive to fault diagnosis.In order to be suitable for various controller system, the core code of controller adopts embedded type C program to go to realize, and has adopted the communication protocol of the TCP/IP based on higher-level language, and code versatility is good, portable strong.
With specific embodiment, the main flow control PLC of wind energy conversion system is times good fortune and Ingeborg Bachmann, and 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.
Vibrating data collection card collects after vibration initial data, data are passed to the collection analysis program of CPU, times good fortune PLC adopts R3IO mode to carry out exchanges data, Ingeborg Bachmann adopts SVI mode to enter exchanges data, collection analysis program is responsible for statistics and the calculating of data, the data that are conducive to most diagnosis are preserved, to not that the data that are conducive to most diagnosis are rejected, reduce data volume, collection analysis module can directly be extracted the data that oneself need in primary control program, and can be according to some of them parameter, for example wind speed, power, become oar, oil temperature, the parameters such as yaw angle, realize the fault diagnosis based on integrated information.Data extraction program can pass to master control system by vibration alarming value.
The server of central control chamber can manage the communication of wind field wind energy conversion system, in order to avoid cause communication blocking.
Collection analysis program sends by ICP/IP protocol data to the database of data server by wind field looped network.Database is realized initial data storage and is called, and database has certain computing function, and initial data and data after treatment are stored in the lump, stores the common eigen frequency information of various parts that each type uses simultaneously, facilitates client software quick search.Set up wind energy conversion system fault database, record under different model, component, working environment, working time, maintenance condition, the various fault messages that unit occurs.
In system database, should comprise related administrative information data, real time data, historical data.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 up 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.) calculating when data set record real-time data acquisition, time waveform data set record sampling time and corresponding time domain data; Historical data base is timing combined data from real-time data base, sky, week, the moon, year to press time granularity storage, 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 trends analysis.
The present invention utilizes the controller of wind energy conversion system self as the processor of unit on-line monitoring system collection analysis, and directly on wind energy conversion system controller, increase vibrating data collection card, system cost is low, simple installation, and adopt vibration data and wind speed, power, change oar, oil temperature, the status parameter comprehensive monitorings such as yaw angle, thus improve the accuracy of fault diagnosis.
The above; it is only preferred embodiment of the present invention; not the present invention is done to 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 protection scope of the present invention.
Claims (9)
1. a wind energy conversion system condition monitoring and failure diagnosis system that is integrated 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;
From the data collecting card of vibration transducer, speed probe collection signal;
Built-in primary control program, data extraction program, data acquisition program and embedded type C program, and communicate to connect with data collecting card, in the time that CPU and memory usage exceed 80%, director data capture card quits work, until CPU and memory usage are reduced to the main control PLC of restarting below 60%; And
The data server being connected with main control PLC.
2. the wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system according to claim 1, is characterized in that described data server is connected with multiple main control PLC simultaneously.
3. the wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system according to claim 1, is characterized in that described data server is also connected with client end.
4. the wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system according to claim 1, it is characterized in that described data server utilizes wind field looped network and adopts TCP/IP wired communication protocol to communicate by letter with PLC collector, or adopt the communication of GPRS wireless communication protocol.
5. the wind energy conversion system condition monitoring and failure diagnosis system that is integrated 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. be integrated in a wind energy conversion system condition monitoring and fault diagnosis method for control system, application rights requires the wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system described in any one in 1-5, it is characterized in that comprising the following steps:
The data extraction program of main control PLC extracts wind energy conversion system running state parameter from primary control program;
Data collecting card obtains vibration and the tach signal of vibration transducer and speed probe, vibration and rotary speed data in the data acquisition program reading out data capture card of main control PLC;
The embedded type C program of main control PLC is calculated and is analyzed the wind energy conversion system running state parameter collecting and vibration, rotary speed data.
7. the wind energy conversion system condition monitoring and fault diagnosis method that is integrated in control system according to claim 6, is characterized in that described wind energy conversion system running state parameter comprises wind speed, power, vane angle, oil temperature, yaw angle, generator speed.
8. the wind energy conversion system condition monitoring and fault diagnosis method that is integrated in control system according to claim 6, characterized by further comprising the process that by described data extraction program, vibration alarming value is passed to primary control program.
9. the wind energy conversion system condition monitoring and fault diagnosis method that is integrated in control system according to claim 6, is characterized in that communications mode and the data format between described main control PLC and data server is consistent.
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102828909B (en) * | 2012-09-12 | 2014-04-02 | 国电联合动力技术有限公司 | Method, device and system for safety protection used in failure of putting away oar of blade of wind turbine generator |
| CN103135526A (en) * | 2013-01-03 | 2013-06-05 | 乌鲁木齐共创神思电子工程有限公司 | Long-distance test and control device and system |
| CN104047879B (en) * | 2013-03-13 | 2017-09-05 | 北京康吉森自动化设备技术有限责任公司 | Turbo compressor unit diagnostic control system and method |
| CN104632522B (en) * | 2015-01-04 | 2018-01-30 | 国电联合动力技术有限公司 | A kind of monitoring and control method and system of wind generating set vibration |
| CN108151795B (en) * | 2016-12-02 | 2021-02-26 | Abb瑞士股份有限公司 | Method and system for configuring a condition monitoring device |
| CN109089276B (en) * | 2018-08-31 | 2022-02-22 | 北京金风科创风电设备有限公司 | Communication fault processing method and device for variable pitch system and storage medium |
| CN117489526B (en) * | 2023-11-13 | 2024-07-12 | 中国电力工程顾问集团有限公司 | Fan operation method and device, electronic equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393049A (en) * | 2008-08-25 | 2009-03-25 | 北京天源科创风电技术有限责任公司 | Method of Vibration Monitoring and Fault Diagnosis for Wind Turbine Generating Units |
| CN201322686Y (en) * | 2008-12-26 | 2009-10-07 | 中国兵器装备集团摩托车检测技术研究所 | Engine pedestal long-distance fault diagnosis system |
| EP2172824A1 (en) * | 2008-10-01 | 2010-04-07 | Siemens Aktiengesellschaft | Method and system of wind turbine condition monitoring |
| CN201576182U (en) * | 2009-10-30 | 2010-09-08 | 南京盛唐电力控制系统有限公司 | Comprehensive monitoring system for wind power station |
| CN101995336A (en) * | 2009-08-12 | 2011-03-30 | 孟照辉 | Online monitoring device for running status of wind generator |
| CN102156043A (en) * | 2010-12-31 | 2011-08-17 | 北京四方继保自动化股份有限公司 | Online state monitoring and fault diagnosis system of wind generator set |
| CN102235941A (en) * | 2010-04-29 | 2011-11-09 | 上海瑞视仪表电子有限公司 | State monitoring and failure diagnosing system for wind power generation units |
| CN202119630U (en) * | 2011-06-26 | 2012-01-18 | 北京理工大学 | On-line monitoring and fault diagnosis device for bench test of reliability of microplane automobile driving axle |
| CN202203046U (en) * | 2011-08-09 | 2012-04-25 | 吴建华 | Comprehensive data integration processing device for wind power safety intelligent early-warning emergency system |
| CN202707365U (en) * | 2012-07-11 | 2013-01-30 | 国电联合动力技术有限公司 | Wind machine condition monitoring and fault diagnosis system integrated in control system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8277185B2 (en) * | 2007-12-28 | 2012-10-02 | General Electric Company | Wind turbine, wind turbine controller and method for controlling a wind turbine |
-
2012
- 2012-07-11 CN CN201210241352.7A patent/CN102758727B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393049A (en) * | 2008-08-25 | 2009-03-25 | 北京天源科创风电技术有限责任公司 | Method of Vibration Monitoring and Fault Diagnosis for Wind Turbine Generating Units |
| EP2172824A1 (en) * | 2008-10-01 | 2010-04-07 | Siemens Aktiengesellschaft | Method and system of wind turbine condition monitoring |
| CN201322686Y (en) * | 2008-12-26 | 2009-10-07 | 中国兵器装备集团摩托车检测技术研究所 | Engine pedestal long-distance fault diagnosis system |
| CN101995336A (en) * | 2009-08-12 | 2011-03-30 | 孟照辉 | Online monitoring device for running status of wind generator |
| CN201576182U (en) * | 2009-10-30 | 2010-09-08 | 南京盛唐电力控制系统有限公司 | Comprehensive monitoring system for wind power station |
| CN102235941A (en) * | 2010-04-29 | 2011-11-09 | 上海瑞视仪表电子有限公司 | State monitoring and failure diagnosing system for wind power generation units |
| CN102156043A (en) * | 2010-12-31 | 2011-08-17 | 北京四方继保自动化股份有限公司 | Online state monitoring and fault diagnosis system of wind generator set |
| CN202119630U (en) * | 2011-06-26 | 2012-01-18 | 北京理工大学 | On-line monitoring and fault diagnosis device for bench test of reliability of microplane automobile driving axle |
| CN202203046U (en) * | 2011-08-09 | 2012-04-25 | 吴建华 | Comprehensive data integration processing device for wind power safety intelligent early-warning emergency system |
| CN202707365U (en) * | 2012-07-11 | 2013-01-30 | 国电联合动力技术有限公司 | Wind machine condition monitoring and fault diagnosis system integrated in control system |
Non-Patent Citations (1)
| Title |
|---|
| 张健.基于PLC的变速恒频双馈风力发电机组主控制器研究.《中国优秀硕士学位论文全文数据库（工程科技II辑）》.2010,(第12期),论文第33-36、43、45页、图4-13、4-15. * |
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