CN107191337A - A kind of Wind turbines condition monitoring system - Google Patents
A kind of Wind turbines condition monitoring system Download PDFInfo
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- CN107191337A CN107191337A CN201710594233.2A CN201710594233A CN107191337A CN 107191337 A CN107191337 A CN 107191337A CN 201710594233 A CN201710594233 A CN 201710594233A CN 107191337 A CN107191337 A CN 107191337A
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- wind turbines
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a kind of Wind turbines condition monitoring system, including Wind turbines state monitoring module, Master Control Center and user terminal based on wireless sensor network, described Wind turbines state monitoring module is used to gather Wind turbines status data and send the Wind turbines status data collection of collection to Master Control Center；Described Master Control Center carries out data analysis and process to Wind turbines status data, and the health status of Wind turbines is judged in time；Described user terminal obtains the health status of Wind turbines status data and Wind turbines by accessing Master Control Center.The present invention realizes the wireless monitor of Wind turbines state.
Description
Technical field
Field is monitored the present invention relates to wind power equipment, and in particular to a kind of Wind turbines condition monitoring system.
Background technology
Wind turbines condition monitoring system in current practice is mostly based on wired communication mode and adopted to enter row information
Collection and transmission, with continuing to develop for wind-powered electricity generation, wind power plant capacity is continuously increased, and is existed using the status monitoring of wired communication mode
Open defect：(1) for the wind power plant away from land, accesibility is poor, and wire communication facility layout difficulty is big, construction cost
Height, is unfavorable for the structure of condition monitoring system；(2) wire communication often uses the information transmission mode of traditional " point-to-multipoint "
And the information processing manner of centralization, efficiency is low, poor real, it is impossible to ensure the reliability of condition monitoring system.
The content of the invention
In view of the above-mentioned problems, the present invention provides a kind of Wind turbines condition monitoring system.
The purpose of the present invention is realized using following technical scheme：
There is provided a kind of Wind turbines condition monitoring system, including the Wind turbines state prison based on wireless sensor network
Module, Master Control Center and user terminal are surveyed, described Wind turbines state monitoring module is used to gather Wind turbines status data
And send the Wind turbines status data collection of collection to Master Control Center；Described Master Control Center is to Wind turbines status data
Data analysis and process is carried out, the health status of Wind turbines is judged in time；Described user terminal is by accessing Master Control Center
Obtain the health status of Wind turbines status data and Wind turbines.
Beneficial effects of the present invention are：The wireless monitor of Wind turbines state is realized, system, which has, lays convenient, monitoring
Comprehensively, the advantages of communicating efficient, is easy in the case of unattended carry out offshore wind farm unit fault pre-alarming and life prediction, has
The preventative maintenance helped as Wind turbines provides scientific basis, rate of breakdown is reduced, so as to reduce the maintenance of Wind turbines
Cost.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
The structured flowchart of Fig. 1 present invention；
Fig. 2 is the connection block diagram of Master Control Center of the present invention.
Reference：
Wind turbines state monitoring module 1, Master Control Center 2, user terminal 3, data memory module 10, Data Analysis Services
Module 20, Wind turbines health status display module 30.
Embodiment
The invention will be further described with the following Examples.
A kind of Wind turbines condition monitoring system provided referring to Fig. 1, Fig. 2, the present embodiment, including based on wireless senser
Wind turbines state monitoring module 1, Master Control Center 2 and the user terminal 3 of network, described Wind turbines state monitoring module 1
For gathering Wind turbines status data and sending the Wind turbines status data collection of collection to Master Control Center 2；Described
Master Control Center 2 carries out data analysis and process to Wind turbines status data, and the health status of Wind turbines is judged in time；It is described
User terminal 3 health status of Wind turbines status data and Wind turbines is obtained by accessing Master Control Center 2.
Preferably, the Wind turbines status data includes displacement, acceleration, strain, degree of corrosion.
Preferably, the Master Control Center 2 is good for including data memory module 10, Data Analysis Services module 20, Wind turbines
Health state display module 30.
Preferably, described Wind turbines state monitoring module 1 carries out Wind turbines state by wireless sensor network
Monitoring, including multiple status monitoring sensor nodes and cluster head sensor node, status monitoring sensor node are used to gather wind
Group of motors status data simultaneously sends the Wind turbines status data of collection to cluster head sensor node, and cluster head sensor node is received
The Wind turbines status data of all status monitoring sensor nodes in cluster, and the Wind turbines status data of collection is transmitted
To Master Control Center 2.
Preferably, the status monitoring sensor node and cluster head sensor node are set using rigid mechanical fastening means
It is arranged on Wind turbines, or by binding agent or magnetic support on Wind turbines.
Preferably, the channel of status monitoring sensor node and cluster head sensor node is all using Rayleigh decline moulds
Type；If status monitoring sensor node is a hop neighbor node of cluster head sensor node, it is directly by Wind turbines state
Data are sent to cluster head sensor node；If status monitoring sensor node is the non-hop neighbor section of cluster head sensor node
Point, it, which is used, directly transmits or selects best relay forward node auxiliary to send wind from other status monitoring sensor nodes
Group of motors status data is to cluster head sensor node.
The above embodiment of the present invention realizes the wireless monitor of Wind turbines state, and system, which has, lays convenient, monitoring entirely
The advantages of face, efficient communication, it is easy in the case of unattended carry out offshore wind farm unit fault pre-alarming and life prediction, helps
There is provided scientific basis in the preventative maintenance for Wind turbines, reduce rate of breakdown, thus reduce the maintenances of Wind turbines into
This.
Preferably as the status monitoring sensor node of the non-hop neighbor node of cluster head sensor node, using
Directly transmit or select best relay forward node auxiliary to send Wind turbines shape from other status monitoring sensor nodes
It is specific to perform during state data to cluster head sensor node：
(1) the status monitoring sensor node for being provided as the non-hop neighbor node for cluster head sensor node is G1,G2,…,
Gk, the status monitoring sensor node that need to cooperate is defined as, the status monitoring sensor node that need to cooperate is according to G1,G2,…,GkIt is suitable
Sequence periodically sends Wind turbines status data to cluster head sensor node in turn, in the i-th wheel wind electric set state data hair
When sending, need to cooperate status monitoring sensor node GaWind turbines status data, cluster head sensing are sent to cluster head sensor node
Device node and other status monitoring sensor nodes are all attempted to decode GaThe Wind turbines status data sent, by successfully decoded
Status monitoring sensor node is used as GaAlternative relay forwarding node, if cluster head sensor node successfully decoded, when front-wheel
Wind turbines status data, which is sent, to be terminated, if the decoding of cluster head sensor node is unsuccessful, cluster head sensor node is to GaAnd its it is standby
Choose and send feedback result after forward node, the alternative relay forwarding node for being properly received feedback result is turned as preferred relay
Send out node, GaOne of them is selected in multiple preferred relay forward node as best relay forward node, and by the wheel
Wind turbines status data is sent to best relay forward node, and the selection formula of wherein best relay forward node is：
In formula, GyThe best relay forward node selected is represented,Represent GyPreferred value, GjFor GaWind is taken turns i-th
J-th of preferred relay forward node that group of motors status data is determined when sending,Represent GjPreferred value, N is GaIn the i-th wheel
The number for the preferred relay forward node that Wind turbines status data is determined when sending, GtFor GaCorresponding cluster head sensor node,For in GaG during selection best relay forward nodej,GtBetween channel gain,For in GaBest relay is selected to turn
G when sending out nodea,GtBetween channel gain,For in GaG during selection best relay forward nodej,GaBetween channel increase
Benefit,For GjCurrent remaining,For GaCurrent remaining, z for setting weight coefficient；
(2) when i+1 wheel wind electric set state data are sent, after the feedback result of cluster head sensor node is received,
GaWind turbines status data, wherein G are sent with best relay forward node to cluster head sensor node simultaneouslyaSend for i-th
+ 1 wheel wind electric set state data, best relay forward node send for the i-th described wheel wind electric set state data；
(3) for i+1 wheel wind electric set state data, if cluster head sensor node can be successfully decoded, when front-wheel
Wind turbines status data, which is sent, to be terminated, if the decoding of cluster head sensor node is unsuccessful, cluster head sensor node takes turns wind i-th+2
Only to G before the transmission of group of motors status dataaSend feedback result；The the i-th wheel wind electric machine sent for best relay forward node
Group status data, cluster head sensor node is by itself and GaThe the i-th wheel wind electric set state data sent carry out combined decoding.
Compared to the judgement for being made whether to need best relay forward node to aid in all status monitoring sensor nodes
Mode, this preferred embodiment only considers auxiliary by best relay forward node to the non-hop neighbor node of cluster head sensor node
Help and send the mode of Wind turbines status data to carry out the transmission of Wind turbines status data, network energy consumption can be saved, carried
The efficiency of high Wind turbines status data transfers；Best relay forward node is to the Wind turbines shape between cluster head sensor node
The direct transmission of state data transfer and status monitoring sensor node to cluster head sensor node is carried out simultaneously, can shorten wind-powered electricity generation
The transmission time of set state data, improves the efficiency of transmission of Wind turbines status data；
In addition, this preferred embodiment also defines the selection formula of best relay forward node, so as to realize quick effective
Optimal relay forwarding node selection, method is simple and convenient so that the best relay forward node selected can ensure wind turbine
The transmission of group status data, when considering channel gain due to choosing formula, only considers in GaWhen selecting best relay forward node
Channel gain so that what the best relay forward node selected can not be brought by the feedback delay of cluster head sensor node
Influence, improves the unfailing performance of Wind turbines status data transfers.
Preferably, during the Wind turbines status data that cluster head sensor node reception state monitoring sensor node is sent,
It is specific to perform：
(1) cluster head sensor node is decoded the Wind turbines status data received, and judges wherein whether deposit
In the Wind turbines status data by multiple status monitoring sensor nodes or the transmission of best relay forward node, if not depositing
Directly Wind turbines status data is being decoded；If in the presence of by multiple status monitoring sensor nodes or best relay
Forward node, which is all considered as, need to decode node, determine that the intensity that node sends Wind turbines status data need to be decoded according to the following formula
Value：
In formula, GbRepresent the=individual need decoding node, S (Gb) represent GbThe intensity level of Wind turbines status data is sent,Represent that cluster head sensor node receives GbWind turbines status data when Gb,GoBetween channel gain,To set
Fixed GbWind turbines status data importance value, G；Represent to remove GbNode need to be decoded outer c-th,Represent that cluster head is passed
Sensor node receives GbWind turbines status data when G；,GoBetween channel gain, n be except GbOuter need decoding node
Number；
(2) cluster head sensor node is according to Wind turbines status data of the descending order of intensity level to respective type
Decode, when decoding every time, the Wind turbines status data for not taking turns to decoding is temporarily removed, only the wind turbine to decoding successively
The Wind turbines status data for not taking turns to decoding is considered as interference Wind turbines by group status data by the way of directly receiving
Status data, when being decoded to interference Wind turbines status data, by itself and the corresponding status monitoring sensor section that need to cooperate
The Wind turbines status data for the decoding failure that point is sent carries out combined decoding.
This preferred embodiment solves the problem of how cluster head sensor node effectively receives Wind turbines status data, presses
Different types of Wind turbines status data is decoded in turn according to aforesaid way, different type Wind turbines shape can be avoided
The signal interference that state data band comes, so that preferable decoding effect is obtained, and can be to artificially defined more important wind
Group of motors status data carries out preferential receipt, and the process of Wind turbines status data transfers reception, Neng Gouti are simplified on the whole
The reliability of high Wind turbines status data transfers, and Wind turbines condition monitoring system is improved in Wind turbines status data
Precision in terms of collection.
Preferably, when the best relay forward node of selection, which meets following renewal, judges formula, GaIt is multiple preferably in
Substitute best relay forward node after reselecting one in forward node：
In formula,Represent GyPerform the number of times that auxiliary sends Wind turbines status data task, ktFor the number of times threshold of setting
Value,Represent GyCurrent remaining,Represent GyPrimary power, λ, v are all the weight coefficient of setting, λ value model
Enclose for [0.1,0.3], v span is [3,5],Represent GyHair is currently needed in itself as status monitoring sensor node
The Wind turbines status data amount sent,Represent GyThe wind turbine that auxiliary is sent is currently needed for as best relay forward node
Group status data amount.
This preferred embodiment devises the more new strategy of best relay forward node, can balance preferred relay forward node
Between energy consumption, finally extend the life-span of whole wireless sensor network, the renewal of definition judge to consider in formula it is optimal in
Number of times, current remaining and the wind turbine that need to be sent that auxiliary sends Wind turbines status data task are performed after forward node
Group status data amount factor so that best relay forward node will in the performance for not meeting auxiliary transmission Wind turbines status data
It can in time be replaced when asking, reliability of the system in terms of Wind turbines status data auxiliary transmission be enhanced, so as to protect
Hinder the degree of accuracy to Wind turbines status monitoring.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (6)
1. a kind of Wind turbines condition monitoring system, it is characterized in that, including the Wind turbines state based on wireless sensor network
Monitoring modular, Master Control Center and user terminal, described Wind turbines state monitoring module are used to gather Wind turbines status number
Sent according to and by the Wind turbines status data collection of collection to Master Control Center；Described Master Control Center is to Wind turbines status number
According to data analysis and process is carried out, the health status of Wind turbines is judged in time；Described user terminal is by accessing in master control
The heart obtains the health status of Wind turbines status data and Wind turbines.
2. a kind of Wind turbines condition monitoring system according to claim 1, it is characterized in that, the Master Control Center includes number
According to memory module, Data Analysis Services module and Wind turbines health status display module.
3. a kind of Wind turbines condition monitoring system according to claim 1, it is characterized in that, described Wind turbines state
Monitoring modular carries out Wind turbines status monitoring, including multiple status monitoring sensor nodes and cluster by wireless sensor network
First sensor node, status monitoring sensor node is used to gather Wind turbines status data and by the Wind turbines state of collection
Data are sent to cluster head sensor node, and cluster head sensor node collects the wind turbine of all status monitoring sensor nodes in cluster
Group status data, and the Wind turbines status data of collection is passed into Master Control Center.
4. a kind of Wind turbines condition monitoring system according to claim 3, it is characterized in that, the status monitoring sensor
Node and cluster head sensor node are arranged on Wind turbines using rigid mechanical fastening means, or pass through binding agent or magnetic support
On Wind turbines.
5. a kind of Wind turbines condition monitoring system according to claim 3, it is characterized in that, status monitoring sensor node
Rayleigh fading models are all used with the channel of cluster head sensor node；If status monitoring sensor node is cluster head sensor
During one hop neighbor node of node, it directly sends Wind turbines status data to cluster head sensor node；If status monitoring
Sensor node is the non-hop neighbor node of cluster head sensor node, and it, which is used, directly transmits or passed from other status monitorings
Best relay forward node auxiliary is selected to send Wind turbines status data to cluster head sensor node in sensor node.
6. a kind of Wind turbines condition monitoring system according to claim 5, it is characterized in that, it is used as cluster head sensor node
Non- hop neighbor node status monitoring sensor node, using directly transmitting or from other status monitoring sensor sections
It is specific to perform when best relay forward node auxiliary transmission Wind turbines status data to cluster head sensor node is selected in point：
(1) the status monitoring sensor node for being provided as the non-hop neighbor node for cluster head sensor node is G1,G2,…,Gk,
The status monitoring sensor node that need to cooperate is defined as, the status monitoring sensor node that need to cooperate is according to G1,G2,…,GkOrder week
Phase property land wheel flows to cluster head sensor node and sends Wind turbines status data, when the i-th wheel wind electric set state data are sent,
Need to be cooperated status monitoring sensor node GaWind turbines status data, cluster head sensor node are sent to cluster head sensor node
And other status monitoring sensor nodes are all attempted to decode GaThe Wind turbines status data sent, the state of successfully decoded is supervised
Survey sensor node and be used as GaAlternative relay forwarding node, if cluster head sensor node successfully decoded, when the wind turbine of front-wheel
Group status data, which is sent, to be terminated, if the decoding of cluster head sensor node is unsuccessful, cluster head sensor node is to GaAnd its alternative relaying
Forward node sends feedback result, and the alternative relay forwarding node for being properly received feedback result is forwarded as preferred relay and saved
Point, GaOne of them is selected in multiple preferred relay forward node as best relay forward node, and by the wind-powered electricity generation of the wheel
Set state data are sent to best relay forward node, and the selection formula of wherein best relay forward node is：
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In formula, GyThe best relay forward node selected is represented,Represent GyPreferred value, GjFor GaIn the i-th wheel wind electric machine
J-th of preferred relay forward node that group status data is determined when sending,Represent GjPreferred value, N is GaWind is taken turns i-th
The number for the preferred relay forward node that group of motors status data is determined when sending, GtFor GaCorresponding cluster head sensor node,For in GaG during selection best relay forward nodej,GtBetween channel gain,For in GaBest relay is selected to turn
G when sending out nodea,GtBetween channel gain,For in GaG during selection best relay forward nodej,GaBetween channel increase
Benefit,For GjCurrent remaining,For GaCurrent remaining, z for setting weight coefficient；
(2) when i+1 wheel wind electric set state data are sent, after the feedback result of cluster head sensor node is received, GaMost
Good relay forwarding node sends Wind turbines status data, wherein G to cluster head sensor node simultaneouslyaSend for i+1 wheel
Wind turbines status data, best relay forward node send for the i-th described wheel wind electric set state data；
(3) for i+1 wheel wind electric set state data, if cluster head sensor node can be successfully decoded, when the wind-powered electricity generation of front-wheel
Set state data, which are sent, to be terminated, if the decoding of cluster head sensor node is unsuccessful, cluster head sensor node is in the i-th+2 wheel wind electric machine
Only to G before group status data transmissionaSend feedback result；The the i-th wheel wind electric unit shape sent for best relay forward node
State data, cluster head sensor node is by itself and GaThe the i-th wheel wind electric set state data sent carry out combined decoding.
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| CN201710594233.2A CN107191337A (en) | 2017-07-20 | 2017-07-20 | A kind of Wind turbines condition monitoring system |
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| CN201710594233.2A CN107191337A (en) | 2017-07-20 | 2017-07-20 | A kind of Wind turbines condition monitoring system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107818669A (en) * | 2017-11-06 | 2018-03-20 | 潘柏霖 | A kind of Wind turbines wireless monitor and early warning system |
| CN108414201A (en) * | 2018-03-06 | 2018-08-17 | 西南石油大学 | A kind of ocean platform derrick monitoring of working condition and fatigue life predicting system |
| CN108999756A (en) * | 2018-09-19 | 2018-12-14 | 东莞方凡智能科技有限公司 | Wind generating set vibration abnormity early warning system |
| CN109140721A (en) * | 2018-08-02 | 2019-01-04 | 深圳市创艺工业技术有限公司 | Building ventilation energy conservation regulator control system |
| CN109195125A (en) * | 2018-08-06 | 2019-01-11 | 深圳汇通智能化科技有限公司 | Traffic pollutants discharge wisdom and monitor system |
| CN109505740A (en) * | 2018-12-04 | 2019-03-22 | 浙江海洋大学 | A kind of Wind turbines status information monitoring method of adaptive bandwidth |
-
2017
- 2017-07-20 CN CN201710594233.2A patent/CN107191337A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107818669A (en) * | 2017-11-06 | 2018-03-20 | 潘柏霖 | A kind of Wind turbines wireless monitor and early warning system |
| CN108414201A (en) * | 2018-03-06 | 2018-08-17 | 西南石油大学 | A kind of ocean platform derrick monitoring of working condition and fatigue life predicting system |
| CN109140721A (en) * | 2018-08-02 | 2019-01-04 | 深圳市创艺工业技术有限公司 | Building ventilation energy conservation regulator control system |
| CN109195125A (en) * | 2018-08-06 | 2019-01-11 | 深圳汇通智能化科技有限公司 | Traffic pollutants discharge wisdom and monitor system |
| CN108999756A (en) * | 2018-09-19 | 2018-12-14 | 东莞方凡智能科技有限公司 | Wind generating set vibration abnormity early warning system |
| CN109505740A (en) * | 2018-12-04 | 2019-03-22 | 浙江海洋大学 | A kind of Wind turbines status information monitoring method of adaptive bandwidth |
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