CN103234585A - Online monitoring and fault diagnosis system of large wind turbine units - Google Patents
Online monitoring and fault diagnosis system of large wind turbine units Download PDFInfo
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Abstract
The invention discloses an online monitoring and fault diagnosis system of large wind turbine units. A sensor and data collection equipment are installed on a wind turbine unit to be detected, so as to collect equipment operation state characteristic signals, such as video signals, noise signals, flame signals, electric signals, vibration signals and pressure signals, of the wind turbine unit, and transmits the state characteristic signals to a central control room of a wind power plant through a network in real time; and operation and maintenance personnel can know the operation state of the wind turbine unit at any time in the central control room of the wind power plant, and can directly analyze signal data of the abnormally operated wind turbine unit, so that operation conditions of gear boxes, main shafts, generators, bearings, hydraulic systems, yaw systems, bearing lubricating systems, brake systems, blades and towers of all units in the wind power plant are monitored in real time and failure warning information is output. Data can also be transmitted to a remote fault diagnosis center through a network, a project team performs professional analysis to faults and issues a diagnosis report, and a field maintenance team performs corresponding repair/maintenance operation.
Description
Technical field
The present invention relates to a kind of wind engine unit, specifically refer to a kind of large-scale wind electricity unit on-line monitoring and fault diagnosis system.
Background technology
Have bright development prospect simultaneously at China's wind-power electricity generation, also be faced with its intrinsic problem, wherein the fan operation fault needs to be resolved hurrily as a major reason that restricts wind-power electricity generation.The maintenance mode that China's wind field is taked mostly is periodic maintenance and correction maintenance, and this makes that the maintenance cost of wind-powered electricity generation unit is high for a long time.
At present, domestic temporarily also do not have the unit on-line monitoring of complete and effective wind-powered electricity generation and a fault diagnosis system, and this becomes China and is faced with a great problem at the road of wind-powered electricity generation development.Domestic fault diagnosis to wind generator system also is in the starting stage, the existing fault diagnostic system mainly concentrates in the research to driving-chain (gear case), the method that adopts mainly is the vibration analysis method to traditional chain, analyze collection of illustrative plates by gathering a large amount of original vibration datas and generating some, interpret blueprints to realize fault analysis and diagnosis by the advanced techniques talent with deep engineering knowledge and theoretical grounding in basic skills, common unit maintainer then can't obtain the effective information of set state from vibration data and collection of illustrative plates.Because reluctant problems such as the complicacy of Large-scale Wind Turbines fault, uncertainty, single divided oscillation signal analysis method is difficult to judge that accurately the unit fault is comprehensive, can't realize to the unit trouble unit automatically, accurately the location and fault pre-alarming, diagnosis effect is undesirable.
Summary of the invention
The present invention has overcome the shortcoming in the above-mentioned wind-powered electricity generation unit monitoring, diagnosing technology, a kind of large-scale wind electricity unit on-line monitoring and fault diagnosis system are provided, by scene and remote control technology, obtain the vibration signal of wind-powered electricity generation operating states of the units with monitoring equipment, vision signal, noise signal, flare up fire, electric signal, characteristic signals such as pressure signal, realize the extraction of multipath various faults signal, grasp the real-time running state information of wind-powered electricity generation unit by all kinds of means, and then the fault of early detection wind-powered electricity generation unit appearance, under the situation that wind energy conversion system is not disassembled, according to engineering experience and data accumulation, adopt multiple signal analysis means that the residing state of wind energy conversion system is judged, fault and development and change thereof to wind energy conversion system are diagnosed, to determine the character of equipment failure, degree, classification and position, the clear failure sign, mutual relationship between reason and the system, and indicate fault progression trend.
Foregoing invention is achieved through the following technical solutions:
A kind of large-scale wind electricity unit on-line monitoring and fault diagnosis system comprise data acquisition and monitoring system, data transmission and storage system, wind field central control room and remote fault diagnosis center.
The data acquisition and monitoring system, comprise respectively various surveillance equipments, sensor and the data acquisition equipment installed at the crucial monitoring component of wind-powered electricity generation unit, realize to the extraction at interior characteristic signal of involving vibrations signal, vision signal, noise signal, flare up fire, electric signal and pressure signal.Described data acquisition and monitoring system is formed centrally being connected and feedback of data message by in data transmission and storage system and wind field central control room and the remote fault diagnosis.The wind field central control room extracts the characteristic signal on the crucial monitoring component of the wind-powered electricity generation unit of place wind field at the scene, and system alarm when the characteristic signal value surpasses the default critical value carries out fault analysis according to alerting signal.Characteristic signal data on the crucial monitoring component of the wind-powered electricity generation unit of the different wind fields that the remote fault diagnosis center will be gathered are screened, put in order and are analyzed, provide oscillogram and spectrogram, provide the trend map of vibration signal, vision signal, noise signal, flare up fire, electric signal and pressure signal, realize trend early warning and fault solution.
Database is set up with the data of transmission in the remote fault diagnosis center when carrying out fault analysis, and constantly arrangement, renewal and perfect.
The remote fault diagnosis center feeds back to maintenance team with fault diagnosis result, the maintenance of marching into the arena of maintenance team, thus formed the dynamic interactive circulation system.
The supporting transmission network of remote fault diagnosis centring system is set up the interconnected feedback of information with authorized user and technical support user respectively and is contacted.
The data acquisition equipment of described data acquisition and monitoring system is placed in gathers all sensors signal in the wind tower switch board, the signal that collects is carried out analyzing and processing by server, the operator station that the fiber optic cables of described data transmission and storage system are sent to the wind field central control room.
The crucial monitoring component of wind-powered electricity generation unit comprises: gear case, main shaft, generator, bearing, hydraulic system, yaw system, bearing lubrication system, brake system, blade and tower tube, measuring point quantity can be adjusted flexibly at different type of machines.Realize the monitoring of characteristic signals such as involving vibrations signal, vision signal, noise signal, flare up fire, electric signal and pressure signal.
Data transmission and storage system pass to signal on the switch by data acquisition equipment, the signal that switch obtains data acquisition equipment on the one hand is transferred to the wind field central control room, by router, utilize the internet to pass to the remote fault diagnosis center on the other hand.
The present invention has improved the accuracy rate that fault is judged greatly, can effectively reduce the failure risk of wind generator system, improves the operational efficiency of the equipment of unit greatly.
Description of drawings
Fig. 1 on-line monitoring of the present invention and fault diagnosis system overall system view.
Fig. 2 is wind-powered electricity generation unit data acquisition and monitoring system construction drawing.
Fig. 3 wind-powered electricity generation unit on-line monitoring and fault diagnosis system network structure.
Fig. 4 wind field central control room system schematic.
Fig. 5 is the fault analysis process flow diagram at remote fault diagnosis of the present invention center.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.
The invention provides a kind of wind-powered electricity generation unit on-line monitoring and fault diagnosis system, gather the data message of wind-powered electricity generation operating states of the units in real time and the characteristic signal that the wind-powered electricity generation unit may break down is extracted the refinement analysis, determine character, degree, classification and the position of equipment failure, mutual relationship between clear failure sign, reason and the system, and indicate fault progression trend.Under the situation that wind energy conversion system is not disassembled, according to engineering experience and data accumulation, adopt technological means such as vibration analysis, noise analysis, video signal analysis to constitute the comprehensive early warning system of a solid, the residing state of wind energy conversion system is judged, fault and the development and change thereof of wind energy conversion system are diagnosed.Realize predicting in advance the fault that the wind-powered electricity generation unit may occur, reduce the risk of wind-powered electricity generation unit disorderly closedown, improve operational efficiency and the operation life of wind-powered electricity generation unit.
Fig. 1 has illustrated composition and the each several part function of large-scale wind electricity unit on-line monitoring of the present invention and fault diagnosis system.The Large-scale Wind Turbines on-line monitoring and diagnosis system comprises: data acquisition and monitoring system, data transmission and storage system, wind field central control room and remote fault diagnosis center.Wherein the data acquisition and monitoring system comprises sensor, surveillance equipment and data acquisition equipment.Data acquisition equipment is placed in gathers all sensors signal in the wind tower switch board, realize the extraction to characteristic signal.The crucial monitoring component of wind-powered electricity generation unit comprises: gear case, main shaft, generator, bearing, hydraulic system, yaw system, bearing lubrication system, brake system, blade and tower tube, measuring point quantity can be adjusted flexibly at different type of machines, realizes the collection of characteristic signals such as involving vibrations signal, vision signal, noise signal, flare up fire, electric signal and pressure signal.The fiber optic cables of characteristic signal by data transmission and storage system are sent to the wind field central control room through switch and carry out analyzing and processing by wind field server, operator station.
See accompanying drawing 2, described sensor comprises low-frequency acceleration sensor, standard acceler, wireless low-frequency acceleration sensor, obliquity sensor, oil level pressure transducer, sound collector, flame collector, video collector.And each sensor links to each other with data acquisition equipment with collector, each sensor that the data acquisition equipment processing receives and the signal of collector.Described low-frequency acceleration sensor, standard acceler are installed on the kinematic trains such as bearing, gear case and generator of wind-powered electricity generation unit, monitor the vibration signal of wind-powered electricity generation unit, and link to each other by cable with data acquisition equipment.Described oil level, pressure transducer are installed on hydraulic system and the gear case, gather the hydraulic system of wind-powered electricity generation unit and the oil liquid pressure signal of gear box lubricating oil, and link to each other by cable with data acquisition equipment.Described sound collector is installed in the wind-power engine room cover near the generator place, gathers the voice signal of wind-powered electricity generation unit operation, and links to each other by cable with data acquisition equipment.Described video collector is installed in the wind-power engine room top, gathers the vision signal of all parts operations in the wind-power engine room, and links to each other by cable with data acquisition equipment.Described flame collector is installed in the wind-power engine room cover near the main frame base position, gathers the flare up fire such as electric spark that occur in the wind-powered electricity generation unit running process, and links to each other by cable with data acquisition equipment.Described obliquity sensor is installed in top and the tower tube middle part of tower tube, and the holding state of monitoring wind-powered electricity generation unit tower tube is gathered the signal of tower tube run-off the straight, and linked to each other by cable with data acquisition equipment.Described wireless low-frequency acceleration sensor is installed in the blade root, leaf of blade respectively and leaf tip, and the running status of monitoring wind power generation unit blade is gathered the vibration signal of blade, links to each other by network wireless with data acquisition equipment.
See accompanying drawing 3, each wind field passes to characteristic signal on the switch of data transmission and storage system by the data acquisition equipment of data acquisition and monitoring system, the signal that switch obtains collector on the one hand is transferred to the wind field central control room, by router, utilize the internet to pass to the remote fault diagnosis center on the other hand.It is long-range shared with Monitoring Data that the real-time Transmission of data, network are shared hardware.
Fig. 4 is the diagrammatic layout figure of wind field central control room system.This wind field central control room is realized the wind field monitoring based on SCADA (Supervisor Control And Data Acquisition) system, it can collection site digital quantity and analog quantity, and can monitor in real time the scene of controlling, and necessary data management function is provided.SCADA system by the wind-powered electricity generation unit will realize transmission and the long-range access of Monitoring Data.Central control room coupled computer network, wind field workstation O﹠M personnel on this basis just can be understood the running status of blower fan at any time in the pulpit, to wind field O﹠M personnel provide monitoring, alert data inquiry, browse and print service.To the direct analytic signal data of unusual blower fan, thereby realize real-time monitoring to the ruuning situation of all units of wind energy turbine set.
All data also can be sent to the remote fault diagnosis center by network.Early warning at the discovery of wind-powered electricity generation unit, project team technician carries out the analytical work to data, according to waveform, frequency spectrum, video pictures and noise, the technician locatees incipient fault, analyzes possible reason and provides analysis report, submits to the relevant responsible official of wind energy turbine set.Thorny problem at the appearance of wind-powered electricity generation unit, by organizing expert team and experienced service engineer to carry out fault analysis, expert team is made up of well-known expert in the industry, realizes constructive handling suggestion is accurately located and proposed to fault by external-brain's wisdom of expert team.At diagnosis report, professional technique team fault location, notice maintenance troop, the on-the-spot troop that safeguards responds rapidly, works out maintenance/maintenance program, and carries out field maintemance work.Keep in repair the result the most at last and feed back to expert team, the experience of accumulation issue handling, and the corresponding database of typing, thus improve the real-time of fault diagnosis and the reliability of diagnostic result.The equal loading system database of total data, and constantly put in order and perfect, closed-loop control and the open knowledge base of fault diagnosis formed.Described fault diagnosis is to merge by different analytical approachs such as vibration monitoring analysis, electric signal monitoring analysis, lubricating oil oil analysis, noise analysis, video signal analysis and expert team analyze to obtain the fault evidence, according to analytical evidence and the corresponding fault type of judgment rule output that sets in advance.
Fig. 5 has illustrated Troubleshooting Flowchart, and wherein, characteristic signal refers to that wind-powered electricity generation operating states of the units information that sensor and collector gather is by the data message of screening, arrangement and the analyzing and processing output of data.Diagnostic mode refers to standard, rules and the experience of the relevant wind-powered electricity generation unit equipment parts stored in the knowledge base, the reasoning pattern that adopts rule-based, model and case to combine, use forward and reverse mixed inference strategy, variable data and development trend to characteristic signal are analyzed, automatically generate and analyze collection of illustrative plates, provide diagnosis.Expert diagnosis refers to carry out the manual analysis diagnosis by the trend collection of illustrative plates that analysis expert team generates the event characteristic signal, provides diagnosis report.But get final product also off-line diagnosis of inline diagnosis, and can carry out automatic diagnosis or dialogue diagnosis according to user's needs.
Claims (7)
1. a large-scale wind electricity unit on-line monitoring and fault diagnosis system is characterized in that: comprise data acquisition and monitoring system, data transmission and storage system, wind field central control room and remote fault diagnosis center; The data acquisition and monitoring system comprises surveillance equipment, sensor and the data acquisition equipment of installing at the crucial monitoring component of wind-powered electricity generation unit respectively, realizes the extraction at interior characteristic signal of involving vibrations signal, vision signal, noise signal, flare up fire, electric signal and pressure signal; Described data acquisition and monitoring system is formed centrally being connected and feedback of data message by in data transmission and storage system and wind field central control room and the remote fault diagnosis; The wind field central control room extracts the characteristic signal on the crucial monitoring component of the wind-powered electricity generation unit of place wind field at the scene, system alarm and carry out fault analysis according to alerting signal when the characteristic signal value surpasses the default critical value; Characteristic signal data on the crucial monitoring component of the wind-powered electricity generation unit of the different wind fields that the remote fault diagnosis center will be gathered are screened, put in order and are analyzed, provide oscillogram and spectrogram, provide the trend map of vibration signal, vision signal, noise signal, flare up fire, electric signal and pressure signal, realize trend early warning and fault solution.
2. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system is characterized in that: database is set up with the data of transmission in the remote fault diagnosis center when carrying out fault diagnosis, and constantly arrangement, renewal and perfect.
3. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system, it is characterized in that: the remote fault diagnosis center feeds back to maintenance team with fault diagnosis result, the maintenance of marching into the arena of maintenance team, thus the dynamic interactive circulation system formed.
4. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system, it is characterized in that: the supporting transmission network of remote fault diagnosis centring system is set up the interconnected feedback of information with authorized user and technical support user respectively.
5. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system, it is characterized in that: the data acquisition equipment of described data acquisition and monitoring system is placed in and gathers all sensors signal in the wind tower switch board, and the server that the signal that the collects fiber optic cables by described data transmission and storage system is sent to the wind field central control room carries out analyzing and processing.
6. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system is characterized in that: the crucial monitoring component of wind-powered electricity generation unit of described data acquisition and monitoring system comprises gear case, main shaft, generator, bearing, hydraulic system, yaw system, bearing lubrication system, brake system, blade and tower tube.
7. a kind of large-scale wind electricity unit on-line monitoring according to claim 1 and fault diagnosis system, it is characterized in that: described data transmission and storage system pass to characteristic signal on the switch of data transmission and storage system by data acquisition equipment, switch is transferred to the wind field central control room on the one hand, by router, utilize the internet to pass to the remote fault diagnosis center on the other hand.
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