CN103899483A - State monitoring system of wind turbine generator - Google Patents
State monitoring system of wind turbine generator Download PDFInfo
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- CN103899483A CN103899483A CN201410152224.4A CN201410152224A CN103899483A CN 103899483 A CN103899483 A CN 103899483A CN 201410152224 A CN201410152224 A CN 201410152224A CN 103899483 A CN103899483 A CN 103899483A
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Abstract
Disclosed is a state monitoring system of a wind turbine generator. The combined type state monitoring system of the wind turbine generator comprises a sensor network layer located in the wind turbine generator, a front end data processing layer located inside a machine cabin, a rear end data processing layer located in a wind power plant central control room and a remote data communication layer located in a remote monitoring center from bottom to top. The combined type state monitoring system of the wind turbine generator fully meets the requirement for typical distribution type installation of a wind power generation system, is based on processing of local information of the wind turbine generator, effectively overcomes the bottleneck of the performance of an upper monitoring system data processor and the bandwidth of a communication network, further increases the types and numbers of connected sensors, achieves holographic state monitoring of the wind turbine generator, largely improves state monitoring efficiency on the whole, and guarantees healthy and stable operation of a wind power plant.
Description
Technical field
The present invention relates to technical field of wind power generation, relate in particular to Combined type wind driven generator group condition monitoring system.
Background technique
Wind-power electricity generation unit's cost of electricity-generating has approached thermoelectricity cost of electricity-generating substantially, is tool commercial value in current all renewable energy sourcess, and tool is promoted real variety of energy sources.In current wind power generating set mechanical failure, transmission system mechanical failure is rate of fault one of the highest factor, particularly having badly influenced wind energy turbine set operation economic benefit for the fault of dual-feed asynchronous wind power generator group transmission system, there is large batch of gear-box and machine driven system fault in the wind energy turbine set of some early stage operations.The safeguard level of China's wind energy turbine set operation is at present very low, and nearly all wind energy turbine set all adopts the maintenance mode based on fault, and maintenance cost is high, maintenance resources utilization ratio wretched insufficiency.Be simultaneously all the maintenance mode based on fault due to what for unit fault, particularly mechanical failure adopted at present conventionally, maintenance cost is high, and the resource utilization of operation maintenance is simultaneously extremely low, in the urgent need to improving operation maintenance automatization level.
Wind power generating set belongs to large rotating machinery equipment, and its whirligig is positioned at the top of column foot, and being positioned at ground with traditional large rotating machinery whirligig has significant difference; While is due to randomness and the wave properties of outside wind speed, its operating conditions is also complicated and changeable, usually there is sudden, contingency, intermittent large system multicompartment coupling fault, and traditional large rotating machinery operating conditions is relatively single, fault shows as transmission system fatigue damage and aging fault more.Therefore, in the time carrying out wind-power electricity generation state estimation and fault diagnosis, need to be in conjunction with comprehensive diagnos such as wind power generating set running principle, overall design technology, complete machine control techniques, its fault signature is also more complicated with respect to traditional large rotating machinery typical fault feature.
In prior art, wind power generating set condition monitoring system is only monitored the oscillating signal of cabin Transmitted chains key point conventionally, by the analysis of vibration signal processing to monitoring, realizes the assessment of transmission system running state, the life prediction of assembly link, the functions such as potential faults excavation.Existing wind power generating set condition monitoring system is realized technological method and is mainly had following problem:
1, cannot realize real-time status monitoring: wind-power electricity generation is different from traditional thermoelectricity, water power, unit electric motor power is less, is typical distributed energy supply.For each wind power generating set mounting arrangements wind-powered electricity generation condition monitoring system in wind energy turbine set, need in each wind power generating set, build respectively sensor monitoring network.Existing wind power generating set condition monitoring system technology adopts upper location supervisory uniform data to process framework, be that each wind power generating set is directly transferred to state monitoring information the processing of upper location supervisory intensive data, because each the real-time monitor data amount of unit in wind energy turbine set is huge, be limited by Upper system monitor message processing rate and monitoring network transmission speed, existing wind power generating set condition monitoring system intensive data is processed structure system can not effectively realize continuous state monitoring, be difficult to realize sudden, contingency, the effective monitoring of intermittent defect signal.
2, cannot realize the access of polymorphic type signal: existing wind-powered electricity generation condition monitoring is mainly take mechanical vibration monitoring as main, because monitor message access kind is incomplete, can not realize wind-powered electricity generation machinery holographyization status information and comprehensively effectively obtain, wind-powered electricity generation machine running status is difficult to realize accurate evaluation.In existing other known technology, except vibration information, comprise that the information such as security protection, video, audio frequency, temperature, pressure, rotating speed, load, stress, oil product oil all can reflect wind-powered electricity generation unit and associated core assembly operating state to a certain extent, therefore access by polymorphic type signal, build perfect collecting sensor signal network and can further promote validity and the practicability of wind-powered electricity generation condition monitoring system.
Summary of the invention
A kind of wind power generating set condition monitoring system, both can acquisition monitoring direct contact type sensing data also can acquisition monitoring non-direct contact type monitor message, realize the assessment of transmission system running state, the life prediction of assembly link, potential faults excavates, and it is characterized in that: be divided into be from the bottom to top arranged in wind-powered electricity generation unit sensor network layer a, be positioned at engine room inside front end data processing layer b, be positioned at the Back end data processing layer c of wind energy turbine set central control chamber and be positioned at the remote data communication layer d composition of remote monitoring center.
The described sensor network layer a control command that receiving front-end data analysis layer b sends simultaneously, the control information that corresponding controlled sensor and Sensor monitoring network send according to front end data processing layer b completes corresponding control action and state configuration.
After described front end data processing layer b processes the receiving sensor Internet a of institute Sensor monitoring information, by industrial field bus, information after processing is sent to the back-end processor of Back end data processing layer c; Front end data processing layer b also sends relevant control configuration information to sensor network layer a simultaneously, and receives the control information that Back end data processing layer c sends.
Described front end data processing layer b is made up of the FEP that is distributed in each wind generating set engine room, and FEP function includes but are not limited to data preprocessing function, self-checking function, catastrophic failure processing capacity, local warning function, logic control function and data double-way communication function.
The unit monitor message of the main receiving front-end data analysis layer of described Back end data processing layer c b sends the control information to front end data processing layer b by back-end processor simultaneously, realizes the both-way communication with front end data processing layer b; In addition, Back end data processing layer c is also sent to remote data communication layer d by data after treatment back-end processor, and communications access and the control signal of receiving remote data communication layer d transmission.
Described Back end data processing layer c includes but are not limited to the back-end processor, back-end data base and the man-machine interactive platform that are arranged on wind energy turbine set central control chamber.
Include but are not limited to mechanical failure intelligent diagnostics function, the Optimal Maintenance maintenance function based on real-time monitor message variation tendency, emergency scheduling command function by back-end processor practical function.
Described remote data communication layer d receives the wind energy turbine set monitor message that all Back end data processing layer c that are positioned at different wind-powered electricity generations scene send, and realizes the accessing operation to Back end data processing layer c by remote server simultaneously; Remote data communication layer d includes but are not limited to the remote server, remote data base, expert consulting platform and the client service platform that are arranged on remote monitoring center.
A kind of Combined type wind driven generator group condition monitoring system of the present invention is the wind-powered electricity generation unit condition monitoring system that a kind of application distribution calculated, had hierarchical structure system.This system is applicable to the multi-layer control function optimization of wind-power generating system distributed energy supply feature and holographyization magnanimity real-time status monitoring demand.Described a kind of Combined type wind driven generator group condition monitoring system is not limited only to wind power generating set condition monitoring, also can be widely used in the centralized intelligence monitoring occasion that other distributed total state informix obtains.
accompanying drawing explanation
Fig. 1 is a kind of wind power generating set condition monitoring system schematic diagram.
Embodiment
the invention provides a kind of wind power generating set condition monitoring system, described a kind of Combined type wind driven generator group condition monitoring system be divided into be from the bottom to top arranged in wind-powered electricity generation unit sensor network layer a, be positioned at engine room inside front end data processing layer b, be positioned at the Back end data processing layer c of wind energy turbine set central control chamber and be positioned at the remote data communication layer d level Four of remote monitoring center.
sensor network layer amainly monitor wind-powered electricity generation unit and assembly real-time status thereof by the sensor network that is distributed in each wind power generating set, and realize the compound formation of video state monitor network of direct condition monitoring network and the reflection object appearance character of direct perceptive object physical behavior variable at sensor network layer a.Sensor network layer a Sensor monitoring information comprises direct state measurement information, include but are not limited to vibration, security protection, temperature, pressure, rotating speed, load, stress, oil product oil information etc., with video state metrical information, include but are not limited to video, audio-frequency information etc., monitor message is sent to front end data processing layer b by sensor network layer a.The sensor network layer a control command that receiving front-end data analysis layer b sends simultaneously, the control information that corresponding controlled sensor and Sensor monitoring network send according to front end data processing layer b completes corresponding control action and state configuration.
front end data processing layer bbe made up of the FEP that is distributed in each wind generating set engine room, FEP function includes but are not limited to F101 data preprocessing function, F102 self-checking function, F103 catastrophic failure processing capacity, the local warning function of F104, F105 logic control function and F106 data double-way communication function.
In FEP, F101 data preprocessing function includes but are not limited to signal condition and data filtering subfunction, valid data screening subfunction and data reduction subfunction.Wherein, signal condition and data filtering subfunction include but are not limited to carries out necessary signal processing to the monitor message of sensor network layer a according to actual demand, monitor message is converted into meet the numerical information of system requirements; Valid data screening subfunction includes but are not limited to according to unit real time execution parameter and associated monitoring information intelligent identification effective monitoring data, and invalid monitor data is screened out; Data compression process subfunction includes but are not limited to the effective Intelligent Compression that realizes subtend Back end data processing layer c transmission data, improves data transmission efficiency and reliability.
In FEP, F102 self-checking function includes but are not limited to watch-dog start and patrols and examines subfunction, watch-dog regular visit subfunction, watch-dog trigger type and patrol and examine subfunction, monitoring equipment fault self diagnosis subfunction, monitoring equipment fault from recovering subfunction.Wherein, start is patrolled and examined subfunction and is referred to and in the time of device power-up, check the each assembly module state of FEP; Watch-dog regular visit subfunction refers to by polling period timing is set the each assembly module of FEP is checked; Watch-dog trigger type is patrolled and examined subfunction and is referred to by trigger signal is set, and automatically the each assembly module of FEP is checked when reaching trigger condition (as external command information, logical triggering etc.); Monitoring equipment fault self diagnosis subfunction refers to that methods such as judging intelligent inference by logic carries out fault judgement to FEP according to patrolling and examining information intelligent; Monitoring equipment fault refers to according to FEP fault self-diagnosis information is called the automatic fault processor prestoring and realized fault self-recovery recovering fault from recovering subfunction.
In FEP, F103 catastrophic failure processing capacity includes but are not limited to catastrophic failure recognin function, the local storage of catastrophic failure data subfunction; Wherein, catastrophic failure recognin function refers to, contingency sudden according to the identification of monitor message and relevant set state information intelligent, intermittent defect; The local storage of catastrophic failure data subfunction refers in the time that catastrophic failure occurs in judgement, and catastrophic failure information is carried out to local real-time storage.
In FEP, the local warning function of F104 includes but are not limited to monitor state superthreshold warning subfunction, catastrophic failure warning subfunction, watch-dog abnormal alarm subfunction.Wherein, monitor state superthreshold warning subfunction mainly refers to, monitored variable of FEP foundation or the secondary monitored variable information through simple data processing, and the alarm threshold value that contrast is set carries out the local warning of real-time front end to monitor message to be triggered; Catastrophic failure warning subfunction mainly refers to that after FEP identifies short-time characteristic catastrophic failure, fault being carried out to this locality warning triggers; Watch-dog abnormal alarm subfunction mainly refers to that judging watch-dog when front end processor selftest diagnosis occurs that the warning of carrying out when abnormal triggers.
In FEP, F105 logic control function includes but are not limited to watch-dog flow process control subfunction, emergent subfunction, the sensor network layer a watch-dog control subfunction controlled of watch-dog; Wherein, watch-dog flow process control subfunction mainly refers to that its complete sets of equipment is realized the normal logic flow process controls such as startup, operation, shutdown in the time that FEP is realized normal data acquisition monitoring; The emergent subfunction of controlling of watch-dog includes but are not limited to the emergent logic control that (as electrical network catastrophe failure, wind power equipment catastrophe failure etc.) watch-dog adopts in emergency situation; Sensor network layer a watch-dog control subfunction mainly refers to by logic control and realizes the watch-dog of controlling sensor network layer a the configuration that realizes relevant parameter.
In FEP F106 data double-way communication function mainly include but are not limited to sensor network layer a both-way communication subfunction, with Back end data processing layer c both-way communication subfunction and with wireless terminal both-way communication subfunction.Wherein, FEP and sensor network layer a both-way communication subfunction mainly refer to that FEP can realize receiving sensor network and send supervisory signal, and simultaneously FEP also can be sent to sensor network layer a by sensor control configuration information by communication network; FEP and Back end data processing layer c both-way communication subfunction mainly refer to that FEP can be sent to the data information after front-end processing Back end data processing layer c, also receive the relevant control information that Back end data processing layer c sends simultaneously; FEP and wireless terminal both-way communication subfunction mainly refer to FEP can be by relevant information by wireless network transmissions to wireless terminal, receive wireless terminal control query manipulation simultaneously, realize the mutual manipulation based on wireless terminal.
After front end data processing layer b processes the receiving sensor Internet a of institute Sensor monitoring information, (comprise the local storage information of catastrophic failure data), by industrial field bus, information after processing is sent to the back-end processor of Back end data processing layer c; Front end data processing layer b also sends relevant control configuration information to sensor network layer a simultaneously, and receives the control information that Back end data processing layer c sends.
back end data processing layer cthe unit monitor message of main receiving front-end data analysis layer b sends the control information to front end data processing layer b by back-end processor simultaneously, realizes the both-way communication with front end data processing layer b; In addition, Back end data processing layer c is also sent to remote data communication layer d by data after treatment back-end processor, and communications access and the control signal of receiving remote data communication layer d transmission.Back end data processing layer c includes but are not limited to the back-end processor, back-end data base and the man-machine interactive platform that are arranged on wind energy turbine set central control chamber.The core of Back end data processing layer c is back-end processor, includes but are not limited to F2101 mechanical failure intelligent diagnostics function, F2102 Optimal Maintenance maintenance function, the F2103 emergency scheduling command function based on real-time monitor message variation tendency by back-end processor practical function.
F2101 mechanical failure intelligent diagnostics function mainly refers to by front end data processing layer b analysis of data collected, by mode identificating software intelligence identification wind power generating set mechanical failure automatically, provides fault treatment suggestion for identification fault simultaneously.
The Optimal Maintenance maintenance function of F2102 based on monitor message variation tendency mainly refers to by continuous monitoring named variable, the changing value based on named variable within the scope of certain hour, and the wind-powered electricity generation unit larger to changing value carries out emphasis maintenance and repair.
F2103 emergency scheduling command function mainly refers in wind energy turbine set central control chamber by video, audio frequency, control operation etc. directly carries out alternately with wind-powered electricity generation operation maintenance scene, processing wind-powered electricity generation scene urgency.
The back-end data base of Back end data processing layer c is mainly used in storage by back-end processor wind-powered electricity generation monitor message after treatment, include but are not limited to vibration, security protection, the directly non-direct contact metrical information such as contact measurement information and video, audio frequency such as temperature, pressure, rotating speed, load, stress, oil product oil information, also comprises that the historical warning message of each typhoon group of motors, maintenance and repair record, maintain record etc. simultaneously.
The man-machine interactive platform of Back end data processing layer c is mainly that video, audio frequency and other direct contact type sensor measurement informix of monitoring are concentrated to close friendization demonstration, realizes central control chamber monitoring and scheduling personnel and wind-powered electricity generation condition monitoring system local information is controlled function alternately and manually simultaneously.The main practical function of man-machine interactive platform includes but are not limited to F2201 office automation function, F2202 data communication facility, F2203 signal processing function and F2204 remote control function etc.
F2201 office automation function is mainly for the RVC Real Time Video of the non-direct contact type such as video, audio frequency sensor measurement information, audio frequency interactive function; For fundamental functions such as the demonstration of direct contact type sensor measurement information realization graphical interface, Data Comparison statistics, form, printing, inquiry, mail transmissions.
F2202 data communication facility mainly refers to by man-machine interactive platform and realizes with remote data communication layer d, front end data processing layer b and realize both-way communication, and simultaneously data communication facility also comprises the wireless bidirectional communication function of realizing with remote wireless terminal.
F2203 signal processing function mainly refers on man-machine interactive platform realizes Data Management Analysis and the mapping operation to supervisory signal based on manual operation.
F2204 remote control function is mainly to realize the remote control operation to front end data processing layer b relevant device at man-machine interactive platform.
remote data communication layer dreceive the wind energy turbine set monitor message that all Back end data processing layer c that are positioned at different wind-powered electricity generations scene send, realize access and the remote control operation to Back end data processing layer c by remote server simultaneously.Remote data communication layer d includes but are not limited to remote server, P302 remote data base, P303 expert consulting platform and the P304 client service platform that P301 is arranged on remote monitoring center.
P301 remote server is mainly realized the processing capacity to individual monitoring wind energy turbine set monitor message, includes but are not limited to information sifting, statistics, inquiry, form, Presentation Function.
P302 remote data base is mainly realized data storage and the historical query function to each monitoring wind energy turbine set monitor message.
P303 expert consulting platform is mainly realized by attendant consultation service and being served, and completes the high-end of client or customize wind energy turbine set operation to ensure correlation technique consulting.Include but are not limited to wind power generating set difficult and complicated cases fault diagnosis, standby redundancy strategy, assembly life-span prediction, maintenance and repair priority scheduling of resource etc.
P304 client service platform is mainly realized and is included but are not limited to functions such as accepting business complaint, suggestion feedback, client's return visit, technical consulting service customization.
A kind of Combined type wind driven generator group condition monitoring system of telling, its sensor network layer a by monitor message in the mode of analog amount, digital quantity, pulse signal by I/O, Field bus mode by monitoring information transmission to front end data processing layer b.The control command that sensor network layer a receiving front-end data analysis layer b sends, control information mainly comprises sensor start and stop, communication speed, sampling precision, video sensor angle of shooting etc.
Described a kind of Combined type wind driven generator group condition monitoring system fully meets wind-power generating system exemplary distribution formula installation demand, based on the processing of wind power generating set local information, effectively overcome the Bottleneck Restrictions of upper location supervisory data processing system performance and communication network bandwidth, sensor access style and access quantity are further enriched, realize wind power generating set holographyization condition monitoring, significantly promote condition monitoring efficiency from entirety, guarantee the healthy and stable operation of wind energy turbine set.
Claims (5)
1. a wind power generating set condition monitoring system, both can acquisition monitoring direct contact type sensing data also can acquisition monitoring non-direct contact type monitor message, realize the assessment of transmission system running state, the life prediction of assembly link, potential faults excavates, and it is characterized in that: be divided into be from the bottom to top arranged in wind-powered electricity generation unit sensor network layer (a), be positioned at engine room inside front end data processing layer (b), be positioned at the Back end data processing layer (c) of wind energy turbine set central control chamber and be positioned at remote data communication layer (d) composition of remote monitoring center.
2. a kind of wind power generating set condition monitoring system according to claim 1, it is characterized in that: described sensor network layer (a) control command that receiving front-end data analysis layer (b) sends simultaneously, the control information that corresponding controlled sensor and Sensor monitoring network send according to front end data processing layer (b) completes corresponding control action and state configuration.
3. a kind of wind power generating set condition monitoring system according to claim 1, it is characterized in that: after described front end data processing layer (b) is processed institute's receiving sensor Internet (a) Sensor monitoring information, by industrial field bus, information after processing is sent to the back-end processor of Back end data processing layer (c); Front end data processing layer (b) also sends relevant control configuration information to sensor network layer (a) simultaneously, and receives the control information that Back end data processing layer (c) sends.
4. a kind of wind power generating set condition monitoring system according to claim 1, it is characterized in that: described front end data processing layer (b) is made up of the FEP that is distributed in each wind generating set engine room, FEP function includes but are not limited to data preprocessing function, self-checking function, catastrophic failure processing capacity, local warning function, logic control function and data double-way communication function.
5. a kind of wind power generating set condition monitoring system according to claim 1, it is characterized in that: the unit monitor message of the main receiving front-end data analysis layer (b) of described Back end data processing layer (c), send the control information to front end data processing layer (b) by back-end processor simultaneously, realize the both-way communication with front end data processing layer (b); In addition, Back end data processing layer (c) is also sent to remote data communication layer (d) by data after treatment back-end processor, and communications access and the control signal of receiving remote data communication layer (d) transmission.
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| CN105656080A (en) * | 2016-02-16 | 2016-06-08 | 国网山东省电力公司淄博供电公司 | Distributive power supply and intelligent monitor, control and management microgrid system thereof |
| CN112594142A (en) * | 2020-11-23 | 2021-04-02 | 东方电气集团科学技术研究院有限公司 | Terminal cloud collaborative wind power operation and maintenance diagnosis system based on 5G |
| CN113323817A (en) * | 2021-06-10 | 2021-08-31 | 北京国电思达科技有限公司 | Operation and maintenance system, method and device of wind generating set and electronic equipment |
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Application publication date: 20140702 |