CN202707365U - Wind machine condition monitoring and fault diagnosis system integrated in control system - Google Patents
Wind machine condition monitoring and fault diagnosis system integrated in control system Download PDFInfo
- Publication number
- CN202707365U CN202707365U CN2012203376501U CN201220337650U CN202707365U CN 202707365 U CN202707365 U CN 202707365U CN 2012203376501 U CN2012203376501 U CN 2012203376501U CN 201220337650 U CN201220337650 U CN 201220337650U CN 202707365 U CN202707365 U CN 202707365U
- Authority
- CN
- China
- Prior art keywords
- data
- energy conversion
- integrated
- wind energy
- program
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
Images
Classifications
-
- 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
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Wind Motors (AREA)
Abstract
The utility model relates to a wind machine condition monitoring and fault diagnosis system integrated in a control system. The wind machine condition monitoring and fault diagnosis system integrated in the control system comprises a vibrating sensor which acquires a vibrating signal of a wind machine, a revolution speed sensor which detects the revolution speed of the wind machine, a data collecting card which collects signals from the vibrating sensor and the revolution speed sensor, a master control programmable logic controller (PLC) which is connected with the data collecting card in a communication mode and a data server which is connected with the master control PLC. A master control program, a data extraction program, a data collecting program and a built-in C program are arranged inside the master control PLC. A collecting and analyzing module of a monitoring system is integrated in the controller of a wind machine, collecting, processing, sending and the like of vibrating data are directly achieved in the controller of the wind machine, a monitoring and controlling system can directly extract running status data of the wind machine, and accordingly resultant fault diagnosis of the wind machine based on multi-information is achieved.
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 energy conversion system condition monitoring and failure diagnosis system that is integrated 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.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, needs independently processor (such as PLC), can only carry out fault diagnosis by simple vibration data, thereby still have deficiency and defective.
How to found a kind of the utility model 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 with the vibration alarming value.
In the cost-effective while, realize the wind energy conversion system fault diagnosis based on multiple information, and the high new wind energy conversion system condition monitoring and failure diagnosis system that is integrated in control system of level of integration, becoming the current industry utmost point needs improved target.
The model utility content
The technical problems to be solved in the utility model provides a kind of wind energy conversion system condition monitoring and failure diagnosis system 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, realization is based on the wind energy conversion system fault diagnosis of 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 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 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 that is connected with main control PLC.
As a kind of improvement of the present utility model, described data server is connected with a plurality of main control PLC 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.
After adopting such design, the utility model is integrated in collection and the analysis module of monitoring system in the wind energy conversion system controller (such as PLC), collection, data processing and the transmission etc. of vibration data directly in the wind energy conversion system controller, have been realized, simultaneously, supervisory system also can directly be extracted the wind energy conversion system running state data, such as wind speed, power, vane angle, oil temperature, the parameters such as yaw angle, and be not limited to these parameters, thus realized the wind energy conversion system resultant fault diagnosis based on multiple information.
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 diagram that the utility model is integrated in the wind energy conversion system condition monitoring and failure diagnosis system of control system.
Embodiment
See also shown in Figure 1ly, the utility model is integrated in the wind energy conversion system condition monitoring and failure diagnosis system of control system, mainly is comprised of vibration transducer, speed probe, data collecting card, main control PLC and data server.
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 signal.Wherein, dual output encoder or approach switch that speed probe also can according to circumstances adopt generator to carry also can directly call generator speed signal in the primary control program by main control PLC.Data collecting card can adopt and the data collecting card of the same brand of existing main control PLC carries out integratedly, is conducive to interface unified and realize.
Condition monitoring and failure diagnosis system is expanded at 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 utility model 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 are finished by the CPU of main control PLC, thereby need not again to be system disposition CPU puocessing module, and for communication provides greatly convenient, also can improve the accuracy of diagnosis.
The utility model one number of units can connect many PLC collectors simultaneously according to server, 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 utility model is used the wind energy conversion system condition monitoring and fault diagnosis method of said system, may further comprise the 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 with the 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 wind energy conversion system running state parameter and vibration, the tach signal that collects.
Because this collection analysis program and primary control program operate in the 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 the CPU of PLC and memory usage to occur near 100% situation, thereby guarantee the real-time of wind energy conversion system control.The utilization rate function that the collection analysis program can be called CPU and internal memory carries out Real-Time Monitoring to the CPU of wind energy conversion system controller and the utilization rate of internal memory, as: TC CPU usage: if the utilization rate of CPU and internal memory surpasses 80%, then stop the collection of oscillating signal, rate to be used is reduced to 60% to restart the vibration acquisition program after interior.
Better, different wind energy conversion system main control PLC is consistent with communications mode and data format between the data server, and namely 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 utility model is system optimal data gathering algorithm, and image data is filtered, and the data that guarantee to be transferred to data server all are active datas, are conducive to fault diagnosis.For applicable various controller system, the core code of controller adopts the embedded type C program to go to realize, has adopted the communication protocol based on the TCP/IP of higher-level language, and the 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.
After the vibrating data collection card collects the vibration initial data, data are passed to the collection analysis program of CPU, times good fortune PLC adopts the R3IO mode to carry out exchanges data, Ingeborg Bachmann adopts the SVI mode to advance exchanges data, the collection analysis program is responsible for statistics and the calculating of data, the data that most are conducive to diagnose are preserved, to not that the data that are conducive to diagnose are most rejected, reduce data volume, the collection analysis module can directly be extracted the data that oneself need in primary control program, and can be according to the some of them parameter, wind speed for example, 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 with the 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.
The collection analysis program is crossed ICP/IP protocol sends data server to by the wind field looped network database with data communication device.Database realization initial data is stored and is called, and 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 of each type use, makes things convenient for the client software quick search.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.
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.
The utility model utilizes the controller of wind energy conversion system self as the processor of unit on-line monitoring system collection analysis, and directly increase the vibrating data collection card at the wind energy conversion system controller, 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 improved the accuracy of fault diagnosis.
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 (5)
1. 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;
Data collecting card from 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 that is 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 a plurality of 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 also is 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 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 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012203376501U CN202707365U (en) | 2012-07-11 | 2012-07-11 | Wind machine condition monitoring and fault diagnosis system integrated in control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012203376501U CN202707365U (en) | 2012-07-11 | 2012-07-11 | Wind machine condition monitoring and fault diagnosis system integrated in control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202707365U true CN202707365U (en) | 2013-01-30 |
Family
ID=47587673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012203376501U Expired - Lifetime CN202707365U (en) | 2012-07-11 | 2012-07-11 | Wind machine condition monitoring and fault diagnosis system integrated in control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202707365U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102758727A (en) * | 2012-07-11 | 2012-10-31 | 国电联合动力技术有限公司 | Wind turbine state monitoring and error diagnosis system and method integrated into control system |
-
2012
- 2012-07-11 CN CN2012203376501U patent/CN202707365U/en not_active Expired - Lifetime
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102758727A (en) * | 2012-07-11 | 2012-10-31 | 国电联合动力技术有限公司 | Wind turbine state monitoring and error diagnosis system and method integrated into control system |
| CN102758727B (en) * | 2012-07-11 | 2014-10-08 | 国电联合动力技术有限公司 | Wind turbine state monitoring and error diagnosis system and method integrated into control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102748214B (en) | Wind generation set state monitoring and fault diagnosis system coupled to control system | |
| CN202645849U (en) | Wind turbine generator state monitoring and fault diagnosing system coupled with control system | |
| CN102758727B (en) | Wind turbine state monitoring and error diagnosis system and method integrated into control system | |
| CN109144014B (en) | System and method for detecting operation condition of industrial equipment | |
| CN107037800B (en) | Fault diagnosis method based on remote fault diagnosis system of client-side oxygen generating equipment | |
| CN104329222B (en) | A kind of on-line condition monitoring being integrated in fan master control system and method for diagnosing faults | |
| CN101393049B (en) | Vibration monitoring and failure diagnosis method for wind generating set | |
| CN102102629B (en) | On-line data acquisition and analysis device of wind generating set | |
| CN106525415B (en) | Health state evaluation system and method for transmission chain of wind turbine generator | |
| CN108871434A (en) | A kind of on-line monitoring system and method for slewing | |
| CN107345857A (en) | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method | |
| CN109507924B (en) | Remote monitoring system for oil field operation equipment | |
| CN103835882A (en) | Large wind generating set state monitoring and fault diagnosis system | |
| CN113776794B (en) | Fault diagnosis method, device and system for embedded edge calculation | |
| CN102200186A (en) | Remote on-line state monitoring and fault diagnosis system of gear box of wind generating set | |
| CN204900220U (en) | Liquid rotary pump operation real -time monitoring system | |
| CN105134493B (en) | A kind of information gathering and storage method based on wind turbine control system | |
| CN208751840U (en) | A kind of pump health monitoring and fault diagnosis system | |
| CN105527910A (en) | Remote monitoring system based on OPC UA (OLE for Process Control Unified Architecture) and fault removal method | |
| CN104564542A (en) | Fault diagnosis system and fault diagnosis method based on massive data technology | |
| CN102123177A (en) | Fault detection system for rotary machine based on network and on-line detection method thereof | |
| CN109525405A (en) | A kind of electromechanical device state monitoring system and method based on NB-IoT | |
| CN203632354U (en) | Electricity consumption information acquisition abnormity positioning system in electric network | |
| CN109642853A (en) | Rotating device inline diagnosis/forecasting system | |
| CN202707365U (en) | Wind machine condition monitoring and fault diagnosis system integrated in control system |
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: NATIONAL ELECTRIC NEW ENERGY TECHNOLOGY INSTITUTE Effective date: 20130701 |
|
| 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. |
|
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20130130 |