CN108120495A - A kind of wind generating set vibration condition monitoring system based on wireless network - Google Patents

A kind of wind generating set vibration condition monitoring system based on wireless network Download PDF

Info

Publication number
CN108120495A
CN108120495A CN201711460932.4A CN201711460932A CN108120495A CN 108120495 A CN108120495 A CN 108120495A CN 201711460932 A CN201711460932 A CN 201711460932A CN 108120495 A CN108120495 A CN 108120495A
Authority
CN
China
Prior art keywords
data
wind
wind turbines
network
wireless
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.)
Granted
Application number
CN201711460932.4A
Other languages
Chinese (zh)
Other versions
CN108120495B (en
Inventor
辛红伟
杨彦军
武英杰
王建国
肖鸿元
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northeast Electric Power University
Original Assignee
Northeast Dianli University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Northeast Dianli University filed Critical Northeast Dianli University
Priority to CN201711460932.4A priority Critical patent/CN108120495B/en
Publication of CN108120495A publication Critical patent/CN108120495A/en
Application granted granted Critical
Publication of CN108120495B publication Critical patent/CN108120495B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • G01H1/006Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines of the rotor of turbo machines

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Wind Motors (AREA)

Abstract

The present invention provides a kind of wind generating set vibration condition monitoring system based on wireless network, is related to wind generating set vibration monitoring technical field.The system includes data acquisition unit, wireless transmission unit, data processing and failure diagnosis unit and remote fault diagnosis unit;The data acquisition unit of each Wind turbines gathers and handles the vibration signal on wind turbine transmission chain, again by between wireless transmission unit and data processing and failure diagnosis unit into row data communication, wireless-transmission network uses the pattern that backbone network is combined with subnet, data processing and failure diagnosis unit carry out comprehensive analysis and diagnosis according to the control strategy of systemic presupposition to the real time data and historical data of each Wind turbines, and remote fault diagnosis unit realizes remote fault diagnosis.The present invention can effectively avoid network congestion, improve Wind turbines status monitoring efficiency, reduce monitoring intensity, accident and damage is avoided to occur for having put into operation but being fitted without the Wind turbines of Vibration Condition Monitoring.

Description

A kind of wind generating set vibration condition monitoring system based on wireless network
Technical field
The present invention relates to wind generating set vibration monitoring technical field more particularly to a kind of Wind turbines based on wireless network Vibration Condition Monitoring system.
Background technology
Blade, gear-box and other transmission parts of wind power generating set operate in high temperature, severe cold, salt fog, plateau throughout the year Etc. under extreme natural environment, and cabin is located at high-altitude, and it is inconvenient to safeguard.If using Wind turbines condition monitoring and fault diagnosis Technology can not only become disorderly closedown as planned shut-down, and fault spread can be avoided by reducing to shut down, and make repair of the enterprise to equipment Fault repair is engaged in management, planned maintenance is progressively transitioned into using status monitoring as basic preventative maintenance.Ensure Wind turbines It safely and reliably runs, improves equipment Management in Enterprise modernization level, and can also find machine in time while fault diagnosis It is unreasonable on the defects of tool structure design and parts type selecting, provide solid foundation for the optimization design of equipment.
For wind generating set vibration condition monitoring system, the sample frequency of each measuring point requirement is high, and data precision is high, real-time By force, thus formed data volume it is larger.For the wind power plant of early stage, the link of optical fiber ring network is few, and link throughput is also small, and standby Communication link is less or even partial branch optical fiber is damaged, without spare fibre.If directly by wind generating set vibration state Monitoring system is incorporated to optical fiber ring network, and part Large Volume Data easilys lead to link congestion in real-time monitoring process, this will be to wind The remote monitoring of motor group generates very big harm.If laying optical fiber ring network again, difficulty of construction is big, and the cycle is long, of high cost.
The content of the invention
It is a kind of based on wireless network the technical problem to be solved by the present invention is in view of the above shortcomings of the prior art, provide Wind generating set vibration condition monitoring system is mainly used for double-fed wind generator unit, for having put into operation but being fitted without vibrational state The Wind turbines of monitoring, the mode using wireless communication technique networking carry out data transmission, and pass through reasonable arrangement network access number According to, can effectively avoid network congestion, improve the status monitoring efficiency of Wind turbines, reduce monitoring intensity, so as to avoid accident and Damage occurs.
In order to solve the above technical problems, the technical solution used in the present invention is:
A kind of wind generating set vibration condition monitoring system based on wireless network, including data acquisition unit, wireless transmission Unit and data processing and failure diagnosis unit;
The data acquisition unit includes vibrating sensor module, synthetical collection processing module and microcomputer, described The input terminal of the output terminal connection synthetical collection processing module of vibrating sensor module, the output terminal of synthetical collection processing module connect Connect the input terminal of microcomputer;
The vibrating sensor module be mounted on wind turbine transmission chain on main shaft, gear-box, multiple positions of generator It puts, including acceleration transducer, sound transducer, speed probe;Wherein acceleration transducer includes low-frequency acceleration sensor With intermediate frequency acceleration transducer, low-frequency acceleration sensor is separately mounted to main spindle front bearing horizontal level, mainshaft rear bearing axis To position, gear-box primary planet pinion horizontal level;Intermediate frequency acceleration transducer is separately mounted to gear-box secondary planet tooth Take turns upright position, gearbox intermediate shaft axial position, high speed shaft of gearbox output terminal horizontal level, generator drive end horizontal position It puts, generator anti-drive end horizontal level;Sound transducer is separately mounted to gear-box bottom and cabin;Speed probe is installed Near the brake disc at generator drive end;
The synthetical collection processing module includes the one or more simultaneous data-acquisitions and photoelectricity that are mounted in cabin Modular converter, simultaneous data-acquisition are connected by photoelectric conversion module and optical fiber with microcomputer, and synchronous collecting card is used for Acquisition, processing vibration sensor signal, photoelectric converter are used for fiber-optic signal between simultaneous data-acquisition and microcomputer Conversion, the common transmitting for completing vibration sensor signal;
The microcomputer is mounted on bottom of towe, is connected between microcomputer and synthetical collection processing module by optical fiber It connects, monitoring of software program one and database one is stored in the microcomputer, make miniature industry control by performing the program one The function that machine performs includes, and vibrating sensor module and synthetical collection processing module is controlled to carry out wind generating set vibration state real When monitoring, to monitoring data carry out in real time analyze and store, meanwhile, pass through peak value, virtual value, kurtosis value, peak factor, pulse Factor, crest factor, the alarm threshold value of nargin factor these characteristic parameters setting different stage, when certain sensor of acquisition measures When value is more than setting alarm threshold value, then alarm is sent to data processing and failure diagnosis unit according to the control strategy of systemic presupposition Partial data before and after information and alarm;
By specific wireless between the data acquisition unit of each Wind turbines and data processing and failure diagnosis unit Transmission unit is into row data communication;
The data processing and failure diagnosis unit include a set of server arranged on wind farm control center, the set service Device receives and handles the data that microcomputer returns in each Wind turbines, by DataSocket technologies to each wind turbine The operating status of group, communications status synchronize monitoring, according to the control strategy of systemic presupposition to the real-time of each Wind turbines Data and historical data carry out comprehensive analysis and diagnosis;The set server includes application server, backup server, database clothes Business device, fault diagnosis server and WEB server;Wind generating set vibration status monitoring software program is installed in application server Two, interaction can be synchronized with the monitoring of software program one in the microcomputer of each Wind turbines, the monitoring of software program Two are performed, and it is to monitor the operating status of each unit to make the function that system is realized, including running, shutting down, the situation of early warning, Signal strength, handling capacity, the connection of monitoring wireless network perform the control strategy of whole system, while to each wind-powered electricity generation The data acquisition unit of unit carries out parameter modification;Backup server is responsible for the redundancy of application server, prevents application server Failure and influence whole system;Database server is responsible for each Wind turbines that storage is transmitted by wireless-transmission network Partial data, for the fault diagnosis of system;Fault diagnosis software program one is installed, the failure in fault diagnosis server Diagnostic software program one is performed the function of realizing fault diagnosis server, according to each wind-powered electricity generation in database server The partial data of unit carries out detailed atlas analysis to the failure of each Wind turbines;
Data recording function is further included in monitoring of software program two in the server of wind farm control center, works as generation When network failure causes monitoring system that cannot correctly transmit data, historgraphic data recording is carried out, can find and go through after normal transmission The Records of the Historian is recorded;
It is whole that the wireless transmission unit includes multiple wireless transmission terminals, multiple wireless relay modules and multiple wireless receivings End;The microcomputer carries out double-direction radio with wireless transmission terminal by multimode fibre or outdoor shielding netting wire and is connected, The data input wireless transmission unit of acquisition is wirelessly transferred, each wireless transmission terminal is by wireless-transmission network via nothing The relay of line trunk module carries out double-direction radio with radio receiving terminal and is connected, and radio receiving terminal is examined with data processing and failure It is bi-directionally connected between disconnected unit by multimode fibre or outdoor shielding netting wire;
The wireless transmission terminal, mounted on Wind turbines near zone, and attaches gain directional antenna, for sending The synchrodata of data acquisition unit;The wireless relay module mounted on the central area of multiple Wind turbines, adds omnidirectional Antenna and double-polarization plate antenna, for multiple Wind turbines signals in receives link, while by wireless signal from one It delivers in relays after point to next relay point, and forms new wireless coverage area, form multiple wireless relay covering point relays Pattern;The radio receiving terminal, mounted on wind farm control center near zone, additional cuts palisade parabola antenna is used In multiple Wind turbines signals are ultimately delivered to data processing and failure diagnosis unit;
The wireless-transmission network uses the pattern that backbone network is combined with subnet, complete with the original optical fiber ring network of wind power plant Complete independent, wherein backbone network is responsible for data remote, and subnet is responsible for local data's convergence, expands wireless coverage model in a relay fashion It encloses;
According to different Wind turbines position distribution situations, correspondence takes different wireless network transmissions models, specific to wrap Include single-hop networks model, the plain structural model of multihop network, the hierarchy structure model of multihop network;For apart from wind power plant control Wind turbines in 10 kilometers of visual ranges in center processed, using single-hop networks model, specifically using AP (Access Point) and Client integrated modes, without using wireless relay module in the model;For being evenly distributed and apart from 5 public affairs of wind farm control center In above Wind turbines or closely Wind turbines of non-visual range, using the plain structural model of multihop network, tool Body uses Mesh-only patterns;For the Wind turbines apart from 10 kilometers of wind farm control center or more, using multihop network Hierarchy structure model specifically uses Mesh-AP patterns or wireless bridge pattern;
The method that the wireless network transmissions model is based on sub-clustering, by Wind turbines according to different principle compositions for not With cluster, and periodically carry out sub-clustering, each cluster sets that there are one cluster head Wind turbines and several cluster member Wind turbines, clusters In cluster member's Wind turbines be complete information gathering elementary cell, and cluster head Wind turbines be responsible for collect cluster in information, and Information exchange is carried out with other clusters, a subnet is formed and collects, the hierarchical structure of major network teletransmission;In each cluster and associated cluster Between, carry out data transmission by the control strategy of systemic presupposition;
The control strategy includes:When Wind turbines normal operation, the Wind turbines in each cluster are controlled with wind power plant Between the server at center certain real time data is sent according to time difference timing;When some Wind turbines failure early warning When, then preferentially send the warning datas of the Wind turbines;It is if soft according to monitoring with the early warning simultaneously of multiple Wind turbines in cluster The preset priority rule of part carries out data transmission and sends control data order respectively;When Wind turbines and wind power plant control When data transmission enters that data volume is smaller in idle period or communication link between the server at center processed, then before reissuing not The data of transmission;When the server priority of wind farm control center checks some running of wind generating set situation and real time data, The then real time data of the prioritised transmission Wind turbines;When associate multiple units in cluster break down simultaneously early warning when, then need Association cluster is planned according to the unit quantity of failure priority and related link circuits again;
The system further includes remote fault diagnosis unit, in a set of server of the data processing and failure diagnosis unit WEB server is further included, is responsible for the remote access of system, remote fault diagnosis is carried out convenient for expert;Remote fault diagnosis unit It is connected by the outer network router of wind power plant and the WEB server of wind farm control center, realizes interconnection Netcom between the two Letter is equipped with fault diagnosis software program two in remote fault diagnosis unit, when the fault diagnosis software program two is performed, The function that remote fault diagnosis unit is realized includes:The export of the partial data of data processing and failure diagnosis unit is transmitted to remote Journey diagnostic center carries out offline failure by various atlas analysis and database, knowledge base data to wind generating set vibration state Positioning finally provides maintenance program, realizes remote fault diagnosis.
It is using advantageous effect caused by above-mentioned technical proposal:A kind of wind based on wireless network provided by the invention Motor group Vibration Condition Monitoring system, is mainly used for double-fed wind generator unit, and the wireless-transmission network and wind power plant of use are original Optical fiber ring network be completely independent, be independent of each other;The capacity of data can be unrestricted, by reasonable arrangement network access data, Network congestion can be effectively avoided, improves the status monitoring efficiency of Wind turbines, reduces monitoring intensity;Monitoring data are from Wind turbines It is transmitted to after wind farm control center server, remote diagnostic center, Er Qieneng can also be directly transferred to by internet Realize that Wind turbines data collection station, wind farm control center vibration monitoring and fault diagnosis server and remote oscillation are supervised The long-range intercommunication between fault diagnosis server three is surveyed, so can original number be checked according to fault diagnosis demand in time According to, it is long-range to adjust Wind turbines data acquisition unit and wind farm control center vibration monitoring and failure diagnosis unit, pass through Failure is monitored so as to which accident and damage be avoided to occur.This opens entire wind generating set vibration status monitoring and fault diagnosis system Hair and debugging provide good platform.
Description of the drawings
Fig. 1 is the wind generating set vibration condition monitoring system structural frames provided in an embodiment of the present invention based on wireless network Figure;
Fig. 2 is single-hop networks model topology figure provided in an embodiment of the present invention;
Fig. 3 is ad hoc network provided in an embodiment of the present invention (Mesh) topological diagram;
Fig. 4 is multihop network plain structural model topological diagram provided in an embodiment of the present invention;
Fig. 5 is multihop network hierarchy structure model topological diagram provided in an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Implement below Example is not limited to the scope of the present invention for illustrating the present invention.
As shown in Figure 1, in the present embodiment, the wind generating set vibration condition monitoring system based on wireless network is adopted including data Collect unit, wireless transmission unit, data processing and failure diagnosis unit and remote fault diagnosis unit.
Data acquisition unit includes vibrating sensor module, synthetical collection processing module and microcomputer, is responsible for single Acquisition, processing, storage, the early warning of wind generating set vibration Condition Monitoring Data judge.
Different vibrating sensors is installed in multiple positions on the driving-chains such as the main shaft, gear-box, generator of Wind turbines, Including low-frequency acceleration sensor, intermediate frequency acceleration transducer, sound transducer, speed probe.Wherein low frequency acceleration passes Sensor is separately mounted to main spindle front bearing horizontal level, mainshaft rear bearing axial position, gear-box primary planet pinion horizontal position It puts;Intermediate frequency acceleration transducer be separately mounted to gear-box secondary planetary gear upright position, gearbox intermediate shaft axial position, High speed shaft of gearbox output terminal horizontal level, generator drive end horizontal level, generator anti-drive end horizontal level;Sound passes Sensor is separately mounted to gear-box bottom and cabin;Speed probe is mounted near the brake disc at generator drive end.
Synthetical collection processing module includes one or more simultaneous data-acquisitions of installation and opto-electronic conversion mould in cabin Block, simultaneous data-acquisition are connected by photoelectric conversion module and optical fiber with microcomputer, and synchronous collecting card is used to gather, locate Vibration sensor signal is managed, photoelectric converter is used for the conversion of fiber-optic signal between simultaneous data-acquisition and microcomputer, The common transmitting for completing vibration sensor signal.
In order to facilitate debugging and safeguard data acquisition unit, microcomputer installation bottom of towe one, microcomputer with it is comprehensive It is connected between conjunction acquisition processing module by optical fiber, monitoring of software program one and database is stored in the microcomputer One, the function of performing microcomputer by performing the program one includes, and controls at vibrating sensor module and synthetical collection It manages module to carry out wind generating set vibration state monitoring in real time, monitoring data are carried out to analyze and store in real time, while passes through peak Value, virtual value, kurtosis value, peak factor, pulse factor, crest factor, nargin factor these characteristic parameters setting different stage Alarm threshold value, the present embodiment includes level-one, two level, three-level alarm threshold value.It is reported if certain sensor measured value is more than setting Alert threshold value, then according to the control strategy of systemic presupposition before and after the server of wind farm control center sends warning message and alarm Partial data.
Data processing and failure diagnosis unit include being installed on a set of server of wind farm control center, multiple servers Common cooperation, for receiving and handling the data that industrial personal computer returns in each Wind turbines.By DataSocket technologies to each The operating status of a Wind turbines, communications status synchronize monitoring, according to the control strategy of system to each Wind turbines Real time data and historical data carry out comprehensive analysis and diagnosis.The set server includes application server, backup server, data Storehouse server, fault diagnosis server and WEB server.Wind generating set vibration status monitoring software is installed in application server Program two can synchronize interaction, the monitoring of software with the monitoring of software program one in the microcomputer of each Wind turbines Program two is performed, and it is to monitor the operating status of each unit to make the function that system is realized, including running, shutting down, the feelings of early warning Condition, signal strength, handling capacity, the connection of monitoring wireless network perform the control strategy of whole system, while to each wind The data acquisition unit of motor group carries out parameter modification;Backup server is responsible for the redundancy of application server, prevents application service Device failure and influence whole system;Database server is responsible for each wind turbine that storage is transmitted by wireless-transmission network The partial data of group, for the fault diagnosis of system;Fault diagnosis software program one is installed, the event in fault diagnosis server Barrier diagnostic software program one is performed the function of realizing fault diagnosis server and is, according to each wind in database server The partial data of motor group carries out detailed atlas analysis to the failure of each Wind turbines;WEB server is responsible for the remote of system Journey accesses, and remote fault diagnosis is carried out convenient for expert.In order to improve the overall stability of monitoring system, ensure some important realities When parameter have record, add in data recording function in the monitoring of software of wind farm control center server, ensure when monitoring system When network failure, which occurs, for system cannot correctly transmit data, historgraphic data recording is carried out, historical record can be found after normal transmission.
By wireless between the microcomputer of each Wind turbines and data processing and the server of failure diagnosis unit Transmission unit uses specific wireless-transmission network into row data communication.
Wireless-transmission network uses the pattern that backbone network is combined with subnet, completely only with the original optical fiber ring network of wind power plant Vertical, wherein backbone network is responsible for data remote, and subnet is responsible for local data's convergence, can realize expansion wireless coverage in a relay fashion Scope reaches wireless network roaming, so as to solve the remote transmission problem of multicomputer.
Wireless transmission unit includes multiple wireless transmission terminals, multiple wireless relay modules and multiple radio receiving terminals. Microcomputer carries out double-direction radio with wireless transmission terminal by multimode fibre or outdoor shielding netting wire and is connected, by acquisition Data input wireless transmission unit be wirelessly transferred, each wireless transmission terminal by the specific wireless-transmission network via The relay of wireless relay module carries out double-direction radio with radio receiving terminal and is connected, radio receiving terminal and data processing and failure It is bi-directionally connected between diagnosis unit by multimode fibre or outdoor shielding netting wire.
Wireless transmission terminal is mounted on Wind turbines near zone, and attaches gain directional antenna, a Wind turbines A corresponding wireless transmission terminal, for sending the synchrodata after being pre-processed in column foot in microcomputer.Wireless relay Module is mounted on the central area of multiple Wind turbines, adds omnidirectional antenna and double-polarization plate antenna (horizontal 120 ° of lobe), For multiple Wind turbines signals in receives link, while wireless signal is delivered in relays from a relay point in next After point, and new wireless coverage area is formed, so as to form multiple wireless relay covering point relay patterns, be finally reached extension nothing The purpose of the lid scope of gauze network.Radio receiving terminal is mounted on wind farm control center near zone, and additional cuts palisade is thrown Object plane antenna, most multiple Wind turbines signals are transmitted to the server farm of wind farm control center at last.
In specific implementation, wireless transmission terminal, wireless relay module and radio receiving terminal mainly use model ENH500, ENS500, ENH700, ENH900 and additional omnidirectional antenna, polarized plate-shaped antenna, cutting palisade parabola antenna Deng.
According to different Wind turbines position distribution situations, different wireless network transmissions models is taken, including single-hop network Network model, the planar structure of multihop network, the layered structure of multihop network, wherein, without using in wireless in single-hop networks model After module, only including wireless transmission terminal and radio receiving terminal.
In the present embodiment, using the method based on sub-clustering, entire wind-powered electricity generation field areas is divided into a series of virtual cells, All Wind turbines are divided into respective cells according to geographical location, each round apoplexy motor are provided by agreement as node Group state in which.It is general only there are one the situation about perceiving in cell region of being activated with the Wind turbines in cluster, His Wind turbines enter sleep state.During normal transmission, only from first source node (i.e. wireless transmission terminal) to Aggregation node (i.e. radio receiving terminal) is established a shortest path and is started, other nodes are incrementally connected in increment tree On nearest node (i.e. wireless relay module), increase the number that path is shared by constantly adjusting the position of aggregators Amount so that volume of transmitted data during communication is minimum.
Numerous Wind turbines are different clusters according to different principle compositions, and there are one cluster head and several clusters for each cluster Member.Wind turbines in cluster are the elementary cells for completing information gathering, and cluster head is mainly responsible for and collects information in cluster, and and its Its cluster carries out information exchange, so just forms a subnet and collects, the hierarchical structure of major network teletransmission.
For the Wind turbines in 10 kilometers of visual ranges of wind farm control center, using single-hop networks model, this Kind networking model is simple and fast.It is generally combined using AP (Access Point) and Client, if as shown in Fig. 2, AP connections Client be easy to cause link congestion and co-channel interference too much.
Wind turbines or closely non-visual for being evenly distributed and apart from 5 kilometers of wind farm control center or more The Wind turbines of scope, in order to save energy and extend network lifetime, it is necessary to transmitted data volume is reduced as far as possible, and Shorten transmitting range.Therefore, such case realizes data transmission using the planar structure of multihop network.In multihop network structure In, wireless transmission terminal sends the data collected to radio receiving terminal by one or more wireless relay modules, So as to the energy consumption being effectively reduced needed for communication.In planar structure, work of each wireless transmission terminal played in networking process With being identical, the status of all wireless transmission terminals is equal, has completely the same functional characteristic.Common model has Mesh ad hoc network cellular network models, as shown in figure 3, its advantage is that a node can not only transmit and receive information, also Router can be served as to its neighbouring node forwarding information, the progress of other links can be automatically selected when some node link failure Data transmission.But with the interconnection of more nodes and the increase of possible number of paths, total bandwidth also greatly increases. In data-centered data acquisition, all nodes hair of mode that aggregation node generally use floods into specified region Query messages are sent, only there is the node of inquiry data just to respond aggregation node for those, and each node is by multihop path with converging Poly- node communicates, and is relayed other nodes in network.When in Wind turbines distributed areas and wind power plant control The heart has barrier to block, and when can not form line-of-sight transmission, multihop network planar structure pattern as shown in Figure 4 may be employed.It is first First collect the data of subnet with multiple clusters, then pass through independent wireless relay module forwards data.
For 10 kilometers or more of distribution, distribution is scattered or closely Wind turbines of non-visual range, may be employed more The layered structure of network is jumped, as shown in Figure 5.In layered structure, wireless transmission terminal is organized into a series of cluster, each cluster It is made of multiple member nodes and a cluster head node.Cluster member is needed first its data sending to cluster head, then will by cluster head Data sending is to aggregation node.In this configuration, the node having compared with low energy can be used as cluster head processing cluster member to receive The data arrived, and will treated data sending to aggregation node.This network structure can not only reduce the energy consumption of communication, and And can business load between balance nodes, and improve the scalability of network, better adapt to the variation of network size.For this The layered structure of kind multihop network actually may be employed wireless bridge and realize remote transmission, wherein covered in subnet by cluster head Lid wireless transmission terminal can add 90 ° of directional aerials;The wireless transmission terminal additional omnidirectional antenna of cluster head;It is selected as relaying Terminal uses back-to-back repeater mode, and additional directional aerial;Radio receiving terminal adds parabola antenna.
In addition, using layered structure data fusion can be carried out in cluster head, the data volume sent to aggregation node is reduced, from And improve the energy efficiency of network.
In order to ensure the real-time of data transmission, integrality, safety between each Wind turbines and wind farm control center Property etc., so sub-clustering must be periodically carried out, the business load between ability each node of active balance.
In each cluster and between associated cluster, carry out data transmission by certain transmission strategy, reduce gathering around for link It is stifled, so as to improve the energy efficiency of network.The transmission strategy includes:
When Wind turbines normal operation, Wind turbines in each cluster and pressed between the server of wind farm control center Certain real time data is sent according to time difference timing;When some Wind turbines failure early warning, then the wind-powered electricity generation is preferentially sent The warning data of unit;If with the early warning simultaneously of multiple units in cluster, carried out respectively according to preset priority rule Data transmission and transmission control data order;When between Wind turbines and the server of wind farm control center enter idle period Or in communication link when data volume is smaller, then the data not sent before reissuing;When the server of wind farm control center is excellent When first checking some running of wind generating set situation and real time data, then the real time data of the prioritised transmission Wind turbines;Work as association Multiple units in cluster break down simultaneously early warning when, then need according to failure priority and the unit quantity of related link circuits again Planning association cluster.
Remote fault diagnosis unit is connected by the outer network router of wind power plant and the WEB server of wind farm control center It connects, realizes internet communication between the two, fault diagnosis software program two is installed in remote fault diagnosis unit, when the journey Sequence is performed, and the function that remote fault diagnosis unit is realized includes:By data processing and the partial data of failure diagnosis unit Export is transmitted to remote diagnostic center, by various atlas analysis and database, knowledge base data to wind generating set vibration state Offline fault location is carried out, finally provides maintenance program, realizes remote fault diagnosis.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that:It still may be used Either which part or all technical characteristic are equal with modifying to the technical solution recorded in previous embodiment It replaces;And these modifications or replacement, the essence of appropriate technical solution is not made to depart from the model that the claims in the present invention are limited It encloses.

Claims (10)

1. a kind of wind generating set vibration condition monitoring system based on wireless network, it is characterised in that:Including data acquisition unit, Wireless transmission unit and data processing and failure diagnosis unit;
The data acquisition unit includes vibrating sensor module, synthetical collection processing module and microcomputer, the vibration The input terminal of the output terminal connection synthetical collection processing module of sensor assembly, the output terminal connection of synthetical collection processing module are micro- The input terminal of type industrial personal computer;
The vibrating sensor module includes different types of vibrating sensor, the master being separately mounted on wind turbine transmission chain Axis, gear-box, multiple positions of generator;
The synthetical collection processing module includes the one or more simultaneous data-acquisitions being mounted in cabin and opto-electronic conversion Module, simultaneous data-acquisition are connected by photoelectric conversion module and optical fiber with microcomputer, synchronous collecting card for gather, Vibration sensor signal is handled, photoelectric converter is used for turn of fiber-optic signal between simultaneous data-acquisition and microcomputer It changes, the common transmitting for completing vibration sensor signal;
The microcomputer is mounted on bottom of towe, is connected between microcomputer and synthetical collection processing module by optical fiber;Institute It states and monitoring of software program one and database one is stored in microcomputer, realize microcomputer by performing the program one Function include, vibrating sensor module and synthetical collection processing module is controlled to supervise wind generating set vibration state in real time Survey, to monitoring data carry out in real time analyze and store, meanwhile, by peak value, virtual value, kurtosis value, peak factor, pulse because Number, crest factor, the alarm threshold value of nargin factor these characteristic parameters setting different stage, when certain sensor measured value of acquisition During more than setting alarm threshold value, then alarm signal is sent to data processing and failure diagnosis unit according to the control strategy of systemic presupposition Partial data before and after breath and alarm;
The data processing and failure diagnosis unit include a set of server arranged on wind farm control center, in the set server Wind generating set vibration status monitoring software program and fault diagnosis software program are stored with, it can be with the miniature work of each Wind turbines Monitoring of software program one in control machine synchronizes interaction, when the program in server is performed, what which realized Function is:The data that microcomputer returns in each Wind turbines are received and handle, by DataSocket technologies to each The operating status of Wind turbines, communications status synchronize monitoring, according to the control strategy of systemic presupposition to each Wind turbines Real time data and historical data carry out comprehensive analysis with diagnosis;
By being specifically wirelessly transferred between the data acquisition unit of each Wind turbines and data processing and failure diagnosis unit Unit is into row data communication;The mould that the wireless-transmission network that the wireless transmission unit uses is combined for backbone network with subnet Formula is completely independent with the original optical fiber ring network of wind power plant, and wherein backbone network is responsible for data remote, and subnet is responsible for local data's remittance It is poly-, expand wireless coverage in a relay fashion.
2. the wind generating set vibration condition monitoring system according to claim 1 based on wireless network, it is characterised in that:Institute Stating vibrating sensor module includes acceleration transducer, sound transducer, speed probe;Wherein acceleration transducer includes low Frequency acceleration sensing and intermediate frequency acceleration transducer, low-frequency acceleration sensor be separately mounted to main spindle front bearing horizontal level, Mainshaft rear bearing axial position, gear-box primary planet pinion horizontal level;Intermediate frequency acceleration transducer is separately mounted to gear Case secondary planetary gear upright position, gearbox intermediate shaft axial position, high speed shaft of gearbox output terminal horizontal level, generator Drive end horizontal level, generator anti-drive end horizontal level;Sound transducer is separately mounted to gear-box bottom and cabin;Turn Fast sensor is mounted near the brake disc at generator drive end.
3. the wind generating set vibration condition monitoring system according to claim 1 based on wireless network, it is characterised in that:Institute Stating wireless transmission unit includes multiple wireless transmission terminals, multiple wireless relay modules and multiple radio receiving terminals;It is described micro- Type industrial personal computer carries out double-direction radio with wireless transmission terminal by multimode fibre or outdoor shielding netting wire and is connected, by the number of acquisition It is wirelessly transferred according to input wireless transmission unit, each wireless transmission terminal is by the specific wireless-transmission network via nothing The relay of line trunk module carries out double-direction radio with radio receiving terminal and is connected, and radio receiving terminal is examined with data processing and failure It is bi-directionally connected between disconnected unit by multimode fibre or outdoor shielding netting wire;
The wireless transmission terminal, mounted on Wind turbines near zone, and attaches gain directional antenna, for sending data The synchrodata of collecting unit;The wireless relay module mounted on the central area of multiple Wind turbines, adds omnidirectional antenna And double-polarization plate antenna, for multiple Wind turbines signals in receives link, while by wireless signal from a relay point It delivers in relays to next relay point, and forms new wireless coverage area, form multiple wireless relay covering point relay patterns; The radio receiving terminal, mounted on wind farm control center near zone, additional cuts palisade parabola antenna, for will be more A Wind turbines signal is ultimately delivered to data processing and failure diagnosis unit.
4. the wind generating set vibration condition monitoring system according to claim 3 based on wireless network, it is characterised in that:Nothing The model of transmission network network takes different models with specific reference to different Wind turbines position distribution situations, correspondence, specific to wrap Include single-hop networks model, the plain structural model of multihop network, the hierarchy structure model of multihop network;
For the Wind turbines in 10 kilometers of visual ranges of wind farm control center, using single-hop networks model, the model In without using wireless relay module;
For being evenly distributed and Wind turbines apart from 5 kilometers of wind farm control center or more or closely non-visual range Wind turbines, using the plain structural model of multihop network;
For the Wind turbines apart from 10 kilometers of wind farm control center or more, using the hierarchy structure model of multihop network.
5. the wind generating set vibration condition monitoring system according to claim 4 based on wireless network, it is characterised in that:Institute It states single-hop networks model and specifically uses AP (Access Point) and Client integrated modes;The planar structure of the multihop network Model specifically uses Mesh-only patterns;The hierarchy structure model of the multihop network specifically uses Mesh-AP patterns or nothing Gauze bridge mode.
6. the wind generating set vibration condition monitoring system according to claim 4 based on wireless network, it is characterised in that:
The method that the wireless network transmissions model is based on sub-clustering forms Wind turbines to be different according to different principles Cluster, and periodically carry out sub-clustering, each cluster are set there are one cluster head Wind turbines and several cluster member Wind turbines, in cluster Cluster member's Wind turbines be complete information gathering elementary cell, and cluster head Wind turbines be responsible for collect cluster in information, and and its Its cluster carries out information exchange, forms a subnet and collects, the hierarchical structure of major network teletransmission;In each cluster and associated cluster it Between, carry out data transmission by the control strategy of systemic presupposition.
7. the wind generating set vibration condition monitoring system based on wireless network according to claim 1 or 6, feature exist In:The control strategy includes:When Wind turbines normal operation, Wind turbines and wind farm control center in each cluster Between server certain real time data is sent according to time difference timing;It is when some Wind turbines failure early warning, then excellent First send the warning data of the Wind turbines;It is if advance according to monitoring of software with the early warning simultaneously of multiple Wind turbines in cluster The priority rule of setting carries out data transmission and sends control data order respectively;When Wind turbines and wind farm control center Server between data transmission when entering that data volume is smaller in idle period or communication link, then do not sent before reissuing Data;When the server priority of wind farm control center checks some running of wind generating set situation and real time data, then preferentially Transmit the real time data of the Wind turbines;When associate multiple units in cluster break down simultaneously early warning when, then need according to therefore Barrier priority and the unit quantity of related link circuits plan association cluster again.
8. the wind generating set vibration condition monitoring system according to claim 1 based on wireless network, it is characterised in that:Number Include application server, backup server, database server and failure according to a set of server of processing and failure diagnosis unit Diagnosis server;Wind generating set vibration status monitoring software program two is installed in application server, it can be with each Wind turbines Microcomputer in monitoring of software program one synchronize interaction, which is performed, and makes system real Existing function is to monitor the operating status of each unit, and including running, shutting down, the situation of early warning, the signal of monitoring wireless network is strong Degree, handling capacity, connection, perform the control strategy of whole system, at the same to the data acquisition units of each Wind turbines into Row parameter is changed;Backup server is responsible for the redundancy of application server, prevents application server failure and influences whole system;Number It is responsible for the partial data for each Wind turbines that storage is transmitted by wireless-transmission network according to storehouse server, for system Fault diagnosis;Fault diagnosis software program one is installed, which is performed in fault diagnosis server When make fault diagnosis server realize function be, according to the partial data of each Wind turbines in database server to each The failure of Wind turbines carries out detailed atlas analysis.
9. the wind generating set vibration condition monitoring system according to claim 8 based on wireless network, it is characterised in that: Data recording function is further included in monitoring of software program two in the server of wind farm control center, is led when network failure occurs When data cannot correctly be transmitted by causing monitoring system, historgraphic data recording is carried out, historical record can be found after normal transmission.
10. the wind generating set vibration condition monitoring system according to claim 8 based on wireless network, it is characterised in that: A set of server of data processing and failure diagnosis unit further includes WEB server, is responsible for the remote access of system, convenient for expert Carry out remote fault diagnosis;
Wind generating set vibration condition monitoring system based on wireless network further includes remote fault diagnosis unit, which passes through wind The outer network router of electric field and the WEB server of wind farm control center connect, and realize internet communication between the two, remotely Fault diagnosis software program two is installed in failure diagnosis unit, when the fault diagnosis software program two is performed, it is long-range therefore The function that barrier diagnosis unit is realized includes:The export of the partial data of data processing and failure diagnosis unit is transmitted to remote diagnosis Center carries out offline fault location, most by various atlas analysis and database, knowledge base data to wind generating set vibration state Maintenance program is provided eventually, realizes remote fault diagnosis.
CN201711460932.4A 2017-12-28 2017-12-28 Wind turbine generator system vibration state monitoring system based on wireless network Active CN108120495B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711460932.4A CN108120495B (en) 2017-12-28 2017-12-28 Wind turbine generator system vibration state monitoring system based on wireless network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711460932.4A CN108120495B (en) 2017-12-28 2017-12-28 Wind turbine generator system vibration state monitoring system based on wireless network

Publications (2)

Publication Number Publication Date
CN108120495A true CN108120495A (en) 2018-06-05
CN108120495B CN108120495B (en) 2020-07-28

Family

ID=62232173

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711460932.4A Active CN108120495B (en) 2017-12-28 2017-12-28 Wind turbine generator system vibration state monitoring system based on wireless network

Country Status (1)

Country Link
CN (1) CN108120495B (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108691733A (en) * 2018-07-25 2018-10-23 深圳众厉电力科技有限公司 Wind generating set vibration wireless monitor system
CN108924785A (en) * 2018-08-02 2018-11-30 深圳汇通智能化科技有限公司 Wind generating set vibration wisdom monitors system
CN109238703A (en) * 2018-09-26 2019-01-18 东莞绿邦智能科技有限公司 Rotary equipment bearings abnormal vibration intelligent checking system
CN110794799A (en) * 2019-11-28 2020-02-14 桂林电子科技大学 Big data system with fault diagnosis function applied to industrial production
CN111965259A (en) * 2020-08-19 2020-11-20 深圳职业技术学院 Fault detection and inspection system based on sound waves
CN113624334A (en) * 2021-08-10 2021-11-09 四川浩淼睿诚科技有限公司 Unit vibration monitoring device and method based on Internet of things technology
CN114239880A (en) * 2021-12-13 2022-03-25 华北电力大学 Monitoring system and monitoring method for running state of wind turbine generator
CN114233581A (en) * 2021-12-13 2022-03-25 山东神戎电子股份有限公司 Intelligent patrol alarm system for fan engine room
CN114785680A (en) * 2022-06-17 2022-07-22 深圳市信润富联数字科技有限公司 Wind power industrial control equipment transformation method and terminal transformation method
CN115379487A (en) * 2022-10-25 2022-11-22 中国航空工业集团公司金城南京机电液压工程研究中心 Mechanical-electrical health management system mechanical-ground network architecture
CN115422209A (en) * 2022-11-07 2022-12-02 东方电气风电股份有限公司 Wind power case data processing system and method
CN117782570A (en) * 2024-02-28 2024-03-29 南京典格信息技术有限公司 Mesh ad hoc network-based life prediction system and method for offshore wind turbine

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090232635A1 (en) * 2008-03-12 2009-09-17 General Electric Company Independent sensing system for wind turbines
US20090266160A1 (en) * 2008-04-24 2009-10-29 Mike Jeffrey Method and system for determining an imbalance of a wind turbine rotor
CN201576182U (en) * 2009-10-30 2010-09-08 南京盛唐电力控制***有限公司 Comprehensive monitoring system for wind power station
CN201843730U (en) * 2010-09-25 2011-05-25 上海宝钢工业检测公司 State on-line monitoring device of wind generating set
CN102200186A (en) * 2011-05-10 2011-09-28 大连理工大学 Remote on-line state monitoring and fault diagnosis system of gear box of wind generating set
CN102878023A (en) * 2012-09-18 2013-01-16 毛振刚 System for monitoring status of large-megawatt wind power generator set in real time
CN103529386A (en) * 2013-10-12 2014-01-22 山西大学工程学院 System and method for remote real-time state monitoring and intelligent failure diagnosis of wind turbine generators
CN104048749A (en) * 2014-06-24 2014-09-17 东北电力大学 Vibration fault detection system and method for wind turbine generator units
CN105427566A (en) * 2015-12-09 2016-03-23 华南理工大学 Wind power plant remote real-time monitoring system and method based on wireless sensor network

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090232635A1 (en) * 2008-03-12 2009-09-17 General Electric Company Independent sensing system for wind turbines
US20090266160A1 (en) * 2008-04-24 2009-10-29 Mike Jeffrey Method and system for determining an imbalance of a wind turbine rotor
CN201576182U (en) * 2009-10-30 2010-09-08 南京盛唐电力控制***有限公司 Comprehensive monitoring system for wind power station
CN201843730U (en) * 2010-09-25 2011-05-25 上海宝钢工业检测公司 State on-line monitoring device of wind generating set
CN102200186A (en) * 2011-05-10 2011-09-28 大连理工大学 Remote on-line state monitoring and fault diagnosis system of gear box of wind generating set
CN102878023A (en) * 2012-09-18 2013-01-16 毛振刚 System for monitoring status of large-megawatt wind power generator set in real time
CN103529386A (en) * 2013-10-12 2014-01-22 山西大学工程学院 System and method for remote real-time state monitoring and intelligent failure diagnosis of wind turbine generators
CN104048749A (en) * 2014-06-24 2014-09-17 东北电力大学 Vibration fault detection system and method for wind turbine generator units
CN105427566A (en) * 2015-12-09 2016-03-23 华南理工大学 Wind power plant remote real-time monitoring system and method based on wireless sensor network

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108691733A (en) * 2018-07-25 2018-10-23 深圳众厉电力科技有限公司 Wind generating set vibration wireless monitor system
CN108924785A (en) * 2018-08-02 2018-11-30 深圳汇通智能化科技有限公司 Wind generating set vibration wisdom monitors system
CN109238703A (en) * 2018-09-26 2019-01-18 东莞绿邦智能科技有限公司 Rotary equipment bearings abnormal vibration intelligent checking system
CN110794799A (en) * 2019-11-28 2020-02-14 桂林电子科技大学 Big data system with fault diagnosis function applied to industrial production
CN111965259A (en) * 2020-08-19 2020-11-20 深圳职业技术学院 Fault detection and inspection system based on sound waves
CN113624334B (en) * 2021-08-10 2023-11-10 四川浩淼睿诚科技有限公司 Unit vibration monitoring device and method based on Internet of things technology
CN113624334A (en) * 2021-08-10 2021-11-09 四川浩淼睿诚科技有限公司 Unit vibration monitoring device and method based on Internet of things technology
CN114239880A (en) * 2021-12-13 2022-03-25 华北电力大学 Monitoring system and monitoring method for running state of wind turbine generator
CN114233581A (en) * 2021-12-13 2022-03-25 山东神戎电子股份有限公司 Intelligent patrol alarm system for fan engine room
CN114785680A (en) * 2022-06-17 2022-07-22 深圳市信润富联数字科技有限公司 Wind power industrial control equipment transformation method and terminal transformation method
CN115379487A (en) * 2022-10-25 2022-11-22 中国航空工业集团公司金城南京机电液压工程研究中心 Mechanical-electrical health management system mechanical-ground network architecture
CN115379487B (en) * 2022-10-25 2023-01-24 中国航空工业集团公司金城南京机电液压工程研究中心 Mechanical-electrical health management system mechanical-ground network architecture
CN115422209A (en) * 2022-11-07 2022-12-02 东方电气风电股份有限公司 Wind power case data processing system and method
CN117782570A (en) * 2024-02-28 2024-03-29 南京典格信息技术有限公司 Mesh ad hoc network-based life prediction system and method for offshore wind turbine
CN117782570B (en) * 2024-02-28 2024-05-14 南京典格信息技术有限公司 Mesh ad hoc network-based life prediction system and method for offshore wind turbine

Also Published As

Publication number Publication date
CN108120495B (en) 2020-07-28

Similar Documents

Publication Publication Date Title
CN108120495A (en) A kind of wind generating set vibration condition monitoring system based on wireless network
CN101483567B (en) High voltage electricity transmission line monitoring method based on wireless communication and optical communication
CN103245912B (en) A kind of running of wind generating set state analysis diagnostic method and system
CN104868846B (en) Solar photovoltaic assembly array data acquisition method based on wireless Internet of Things
CN106506591A (en) System is collected based on the intelligent substation Condition Monitoring Data of multi-layer hybrid network
CN104600844B (en) A kind of electrical network disaster monitoring based on GIS and repairing system and method
CN104270413B (en) The communication system and method for a kind of distributed micro-capacitance sensor scheduling
CN103235221A (en) Fault detecting system and fault detecting method for photovoltaic power station remote monitoring
CN110446176A (en) A kind of information transmission system and method towards wide area distribution transformer terminal unit
CN106230032A (en) A kind of wind farm group production scheduling operational system of electrically-based dispatch data net
CN104750076B (en) Photovoltaic plant intelligent monitor system based on ZigBee/TD LTE gateways
CN115188176B (en) Fusion communication method between intelligent ammeter and concentrator based on dual-mode communication
CN106230993A (en) The security protection compliance data acquisition method of electric power monitoring system and system
TWI535328B (en) Grid gateway and transmission tower management system with multiple grid gateways
CN105353272B (en) A kind of wind power plant Single-ring network multipoint fault method for rapidly positioning
CN202093379U (en) Remote wireless realtime measurement and control system for wind power plant
CN115330188A (en) Shared energy storage cloud platform management system for energy storage power station and distributed energy storage resources
CN107918273A (en) A kind of application system of mobile technology of Internet of things on halved belt sorter
CN103151793A (en) Intelligent component
CN207408100U (en) Bear vibration monitoring device based on wireless sensor network
CN108063460B (en) Energy management system and wind farm
CN111465046B (en) Wind power station wireless network system based on open landform in plain
CN103543253A (en) Networking communication method of on-line wind turbine generator gearbox oil liquid monitoring system
CN105356612B (en) Data transmission system and method
CN111740698A (en) Photovoltaic module parameter on-line monitoring and fault diagnosis system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant