CN108989416A - Wind generating set vibration intelligent real time monitoring system - Google Patents
Wind generating set vibration intelligent real time monitoring system Download PDFInfo
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- CN108989416A CN108989416A CN201810746741.2A CN201810746741A CN108989416A CN 108989416 A CN108989416 A CN 108989416A CN 201810746741 A CN201810746741 A CN 201810746741A CN 108989416 A CN108989416 A CN 108989416A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The present invention provides wind generating set vibration intelligent real time monitoring system, the system include for acquiring the data acquisition module of wind generating set vibration data, the memory module for storing wind generating set vibration data and the display module for showing the wind generating set vibration data；The data acquisition module, display module are all connect with the memory module.
Description
Technical field
The present invention relates to Wind turbines monitoring technical fields, and in particular to wind generating set vibration intelligent real time monitoring system.
Background technique
Wind energy is a kind of clean, the reproducible energy, is particularly important and with development potential using wind power generation
Generation mode.Wind-power electricity generation is realized by that can convert the Wind turbines of electric energy for wind-powered machine.Wind turbines master
It to include blade, cabin and tower three parts, gear-box and generator of Wind turbines etc. are arranged in cabin, blade and machine
Generator in cabin connected by main shaft so that when blade rotates under the action of the wind can driven generator generate electricity, thus
Realize that wind-powered machine can be to the conversion of electric energy.Wind turbines by wind-powered machine can be converted into electric energy this during, wind turbine
Many components of group, which can generate vibration, will lead to the appearance of vibration fault, to damage when this vibration reaches a certain level
Entire Wind turbines.Therefore, the vibration state of Wind turbines is monitored, it is correct to make rapidly within the failure omen phase
Diagnosis, and corresponding safeguard measure is taken to Wind turbines, has great importance.
Summary of the invention
In view of the above-mentioned problems, the present invention provides wind generating set vibration intelligent real time monitoring system.
The purpose of the present invention is realized using following technical scheme:
Wind generating set vibration intelligent real time monitoring system is provided, which includes for acquiring wind generating set vibration data
Data acquisition module, the memory module for storing wind generating set vibration data and for showing the wind generating set vibration number
According to display module；The data acquisition module, display module are all connect with the memory module.
Preferably, the data acquisition module includes aggregation node and multiple sensor nodes, aggregation node and sensor
Node constructs the wireless sensor network of sub-clustering type structure by Ad hoc mode, wherein being layered according to low power consumption adaptive cluster
Type agreement carries out sub-clustering to sensor node and chooses cluster head；Cluster head is mainly used for collecting the wind-powered electricity generation of cluster inner sensor node acquisition
Unit vibration Data Concurrent is sent to aggregation node；Aggregation node is mainly used for the wind generating set vibration data for sending each cluster head remittance
Always it is sent to memory module.
Preferably, the sensor node includes at least one sensor, and sensor node further includes for by sensor
Signal is converted to the signal adapter of corresponding wind generating set vibration data, and the signal adapter is connect with sensor；Also wrap
The controller for controlling frequency acquisition is included, the controller is connect with sensor.Preferably, the sensor is low-frequency vibration
Sensor or high frequency vibration transducer；Wherein, low-frequency shock transducer is arranged on the blade of Wind turbines to acquire blade
Vibration signal is perhaps arranged on main shaft to acquire spindle vibration signal or be arranged in tower to acquire tower vibration letter
Number；The gear-box of Wind turbines is arranged in acquire gear-box vibration signal in the high frequency vibration transducer, or setting is being sent out
To acquire Generator Vibration signal on motor.
Wherein, the display module include display screen, smart phone, notebook, in desktop computer any one or
It is any several.
The invention has the benefit that the present invention can intelligently obtain wind generating set vibration data in real time, convenient for monitoring people
Member understands wind generating set vibration information in time, so that Wind turbines state is further analyzed according to wind generating set vibration information, it is right
The Wind turbines that may be broken down are checked that reduction is because of the loss caused by Wind turbines failure in time.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural representation frame of the wind generating set vibration intelligent real time monitoring system of an illustrative embodiment of the invention
Figure；
Fig. 2 is the structural schematic block diagram of the sensor node of an illustrative embodiment of the invention.
Appended drawing reference:
Data acquisition module 1, memory module 2, display module 3, sensor 10, signal adapter 20, controller 30.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides wind generating set vibration intelligent real time monitoring system, which includes being used for
It acquires the data acquisition modules 1 of wind generating set vibration data, the memory module 2 for storing wind generating set vibration data and is used for
Show the display module 3 of the wind generating set vibration data；The data acquisition module 1, display module 3 all with the storage mould
Block 2 connects.
In one embodiment, the data acquisition module 1 includes aggregation node and multiple sensor nodes, aggregation node
The wireless sensor network for constructing sub-clustering type structure by Ad hoc mode with sensor node, wherein according to low power consumption adaptive
Cluster layered protocol carries out sub-clustering to sensor node and chooses cluster head；Cluster head is mainly used for collection cluster inner sensor node and adopts
The wind generating set vibration Data Concurrent of collection is sent to aggregation node；Aggregation node is mainly used for the Wind turbines for sending each cluster head vibration
Dynamic data summarization is sent to memory module 2.In one embodiment, stage, root are constructed in the link of wireless sensor network
Select 2 sensor nodes as the cluster head in the communication range of cluster head according to the position and current remaining of sensor node
The relay node of place cluster, and determine the optimal path of sensor node each relay node into place cluster；It is sent in data
Stage, sensor node select one of relay node as the mesh for receiving the wind generating set vibration data for needing to send
Node, and then the wind generating set vibration data that send will be needed to send along optimal path corresponding with destination node；
Relay node receives the wind generating set vibration data that each sensor node is sent, by received wind generating set vibration data and itself
The wind generating set vibration data of acquisition are sent to cluster head together.
Wherein, as shown in Fig. 2, the sensor node includes sensor 10 and for being converted to the signal of sensor 10
The signal adapter 20 of corresponding wind generating set vibration data, the signal adapter 20 are connect with sensor 10；It further include using
In the controller 30 of control frequency acquisition, the controller 30 is connect with sensor 10.The sensor 10 is low-frequency vibration biography
Sensor or high frequency vibration transducer；Wherein, low-frequency shock transducer is arranged on the blade of Wind turbines to acquire blade vibration
Dynamic signal is perhaps arranged on main shaft to acquire spindle vibration signal or be arranged in tower to acquire tower vibration signal；
The gear-box of Wind turbines is arranged in acquire gear-box vibration signal in the high frequency vibration transducer, or is arranged in generator
On to acquire Generator Vibration signal.
Wherein, the display module 3 include display screen, smart phone, notebook, in desktop computer any one or
It is any several.
The above embodiment of the present invention can intelligently obtain wind generating set vibration data in real time, understand in time convenient for monitoring personnel
To possible event occurs for wind generating set vibration information to further analyze Wind turbines state according to wind generating set vibration information
The Wind turbines of barrier are checked that reduction is because of the loss caused by Wind turbines failure in time.
Wherein, 2 sensings are selected in the communication range of cluster head according to the position of sensor node and current remaining
Relay node of the device node as cluster where the cluster head, comprising:
(1) to any cluster head ei, define cluster head eiAll the sensors node is cluster head e in communication rangeiNeighbours section
Point obtains cluster head eiEach neighbor node location information and current remaining information；
(2) according to the location information of neighbor node and current remaining information, the first weight of each neighbor node is calculated:
In formula, Cj 1Indicate cluster head eiJ-th of neighbor node the first weight, H (ei, j) and indicate cluster head eiWith its j-th
The distance between neighbor node, H (ei, k) and indicate cluster head eiThe distance between its k-th of neighbor node,Indicate cluster head ei
Neighbor node quantity；QjFor the current remaining of j-th of neighbor node, QminFor the minimum energy value of setting；
(3) the maximum neighbor node of the first weight is chosen as cluster head eiThe first relay node, calculate except first relaying
Second weight of remaining neighbor node outside node:
In formula, Cρ 2Indicate the second weight of the ρ neighbor node in addition to the first relay node, Cρ 1It indicates to remove in first
After the first weight of the ρ neighbor node outside node；ei 1Indicate the cluster head e choseniThe first relay node, H (ei 1, ρ) be
The ρ neighbor node and the first relay node ei 1Distance,For remaining neighbour section in addition to the first relay node
Point and ei 1Sum of the distance；
(4) the maximum neighbor node of the second weight is chosen as cluster head eiThe second relay node.
The present embodiment selects 2 biographies according to the position and current remaining of sensor node in the communication range of cluster head
Relay node of the sensor node as cluster where the cluster head is responsible for converging the wind-powered electricity generation of cluster inner sensor node acquisition by relay node
Unit vibration data can relative to only in such a way that cluster head or single relay node converge wind generating set vibration data
The load for effectively sharing cluster head perhaps single relay node avoids consuming excessively for cluster head or single relay node energy, from
And wind generating set vibration data transmissions consume in efficient balance cluster, improve the stability of sub-clustering.
The present embodiment is it is further proposed that choose the mode of relay node according to the first weight and the second weight, which energy
Enough so that the relay node chosen has preferably, ability is responsible for data collection, and ensures that two relay nodes are apart from each other, thus
Be conducive to the energy consumption that wind generating set vibration data are transmitted to relay node by balanced each sensor node, improve wind generating set vibration
The reliability of data transmission.
In one embodiment, sensor node each relay node into place cluster is determined based on ant colony optimization algorithm
Optimal path, comprising:
(1) defining and generating the sensor node of Front ant message is source node, and source node generates the forward direction of setting quantity
Ant message selects sensor node nearest in cluster to be forwarded, and starts timeout clock, and the Front ant message carries
The identification information and link overhead of active node, link overhead is 0 when initial；
(2) when Front ant message reaches sensor node i, sensor node i is forwarded with cluster and not from being located at
Cross in the neighbor node of Front ant message, select to probability a neighbor node as next-hop node, continue before forwarding to
Ant message:
In formula, FiwIndicate that sensor node i selects w-th of neighbor node as the probability of next-hop node；miTo pass
The neighbor node of sensor node i is concentrated, and is located at sensor node i with cluster and without the neighbours of forwarded over Front ant message
Number of nodes；L (i, w) is the pheromone concentration of the link of sensor node i to w-th of neighbor node, and H (i, w) is to pass
Distance of the sensor node i to w-th of neighbor node, QwFor the current remaining of w-th of neighbor node, QminFor
The minimum energy value of the setting；γ indicates to concentrate in the neighbor node of sensor node i, is located at sensor node i same
The γ neighbor node of cluster and no forwarded over Front ant message, L (i, γ) are sensor node i adjacent to described the γ
The pheromone concentration of the link of node is occupied, H (i, γ) is distance of the sensor node i to the γ neighbor node, QγFor
The current remaining of the γ neighbor node；11、12For the weight coefficient of setting；
(3) if sensor node j is the next-hop node of selection, Front ant is added in the node identification information of itself
The address link list of message indicates that Front ant report has had accessed sensor node j, and updates Front ant according to the following formula
The link overhead that message carries:
Vt=Vt-1+H(i,j)×V
In formula, VtIndicate updated link overhead, Vt-1Indicate the link overhead before updating, V is the unit of setting
Apart from link cost value；H (i, j) is the distance between sensor node i and sensor node j；
(4) continue to forward Front ant message until sending it to any one relay node according to (2), (3)；Relaying
Node k starts timeout clock when receiving the Front ant message of source node α generation, no longer receives source after timeout clock time-out and saves
The Front ant message that point α is generated, for all Front ant messages that the source node α received is generated, relay node k is only selected
The link overhead of carrying the smallest Front ant message generates corresponding Back ant message, and along the chain of the carrying
The inverse path of the smallest Front ant message of road overhead sends the corresponding Back ant message, described corresponding
Back ant message carries the smallest forward direction ant of link overhead of the node identification information and the carrying of relay node k
The address link list of ant message；
(5) when sensor node i receives the Back ant message of sensor node j transmission, extract sensor node j's
The relay node identification information that node identification information and Back ant message carry, and it is stored in local, sensor node i is pressed
According to following equation update itself to sensor node j link pheromone concentration:
In formula, L (i, j) ' indicates the pheromone concentration of link of the updated sensor node i to sensor node j, L
(i, j) is the pheromone concentration of the link of the sensor node i to sensor node j before updating, and link information element is dense when initial
Degree is the volatility that 0, τ is pheromones, and S is total jump that Back ant message is sent to corresponding source node from relay node
Number；Δ L is predetermined constant, indicates the total amount of the pheromones discharged in primary update；
(6) information that current sensor node is indicated according to the address link list of Back ant message continues after forwarding to ant
Ant message, until Back ant message reaches source node；
(7) it after source node receives the Back ant message that two relay nodes generate, extracts, updated accordingly according to (5)
Information, and it is stored in local.
The present embodiment is determined using the link overhead in path as the evaluation index of optimal path based on ant colony optimization algorithm
The optimal path of sensor node each relay node into place cluster, thus, each source node is owned by 2 optimal roads
Diameter, wherein an optimal path leads to first relay node in cluster, another optimal path leads to second relaying section in cluster
Point；Wherein, the present embodiment improves the new probability formula in ant colony optimization algorithm, with the distance of link, pheromone concentration and under
Impact factor of the dump energy of one hop node as probability is conducive to the too low next-hop of limiting sensor node selection energy
Node, the energy consumption of balanced each sensor node, shortens path length.
In one embodiment, sensor node selects one of relay node as the reception wind for needing to send
The destination node of motor group vibration data, and then the Wind turbines for sending needs along optimal path corresponding with destination node
Vibration data is sent, specifically:
(1) sensor node a periodically calculates the preferred value of every optimal path, if the optimal path collection of sensor node a
It is combined intoThe optimal path for indicating sensor node a to p-th relay node, sets preferred value
Calculation formula are as follows:
In formula,Indicate optimal pathPreferred value,For optimal pathUpper conduct
The available cache memory size of the next-hop node of sensor node a, UminTo preset minimal cache；For optimal pathLink overhead, VmaxTo preset maximum link overhead；x1、x2For the weight coefficient of setting；
(2) sensor node selection is presently preferably worth relay node corresponding to maximum optimal path and saves as a purpose
Point is presently preferably worth maximum optimal path and the wind generating set vibration data that send will be needed to send along described.
Since sensor node is when sending wind generating set vibration data to corresponding cluster head, have two optimal paths for
Selection, the present embodiment further sets the selection mechanism of optimal path, wherein according in the caching and path of next-hop node
Link overhead set the preferred value calculation formula of optimal path.In the present embodiment, sensor node selection is presently preferred
It is worth the node as a purpose of relay node corresponding to maximum optimal path, is presently preferably worth maximum optimal path along described
The wind generating set vibration data sent will be needed to send, be conducive to the caching of balanced each next-hop node, balance each optimal
The load in path improves the reliability of wind generating set vibration data transmission to a certain extent.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. wind generating set vibration intelligent real time monitoring system, characterized in that including the number for acquiring wind generating set vibration data
According to acquisition module, the memory module for storing wind generating set vibration data and for showing the wind generating set vibration data
Display module；The data acquisition module, display module are all connect with the memory module；The data acquisition module includes converging
Poly- node and multiple sensor nodes, aggregation node and sensor node pass through the wireless of Ad hoc mode building sub-clustering type structure
Sensor network, wherein carrying out sub-clustering to sensor node according to low power consumption adaptive cluster layered protocol and choosing cluster head；
The wind generating set vibration Data Concurrent that cluster head is mainly used for collecting the acquisition of cluster inner sensor node is sent to aggregation node；Aggregation node
It is mainly used for the wind generating set vibration data summarization that each cluster head is sent being sent to memory module；In the chain of wireless sensor network
Road constructs the stage, and 2 sensors are selected in the communication range of cluster head according to the position of sensor node and current remaining
Relay node of the node as cluster where the cluster head, and determine the optimal road of sensor node each relay node into place cluster
Diameter；In data transmission phase, sensor node selects one of relay node as the reception wind turbine for needing to send
The destination node of group vibration data, and then the wind generating set vibration for sending needs along optimal path corresponding with destination node
Data are sent；Relay node receives the wind generating set vibration data that each sensor node is sent, by received Wind turbines
Vibration data and the wind generating set vibration data of itself acquisition are sent to cluster head together.
2. wind generating set vibration intelligent real time monitoring system according to claim 1, characterized in that the sensor node
Including at least one sensor, sensor node further includes for sensor signal to be converted to corresponding wind generating set vibration number
According to signal adapter, the signal adapter connect with sensor.
3. wind generating set vibration intelligent real time monitoring system according to claim 2, characterized in that the sensor node
It further include the controller for controlling frequency acquisition, the controller is connect with sensor.
4. wind generating set vibration intelligent real time monitoring system according to claim 1, characterized in that the display module packet
Include display screen, smart phone, notebook, in desktop computer any one or it is any several.
5. wind generating set vibration intelligent real time monitoring system according to claim 2, characterized in that the sensor is low
Frequency vibration sensor or high frequency vibration transducer；Wherein, low-frequency shock transducer is arranged on the blade of Wind turbines to adopt
Collect blade vibration signal, is perhaps arranged on main shaft to acquire spindle vibration signal or be arranged in tower to acquire tower
Vibration signal；The gear-box of Wind turbines is arranged in acquire gear-box vibration signal, Huo Zheshe in the high frequency vibration transducer
It sets on generator to acquire Generator Vibration signal.
6. wind generating set vibration intelligent real time monitoring system according to claim 1, characterized in that calculated based on ant group optimization
Method determines the optimal path of sensor node each relay node into place cluster, comprising:
(1) defining and generating the sensor node of Front ant message is source node, and source node generates the Front ant of setting quantity
Message selects sensor node nearest in cluster to be forwarded, and starts timeout clock, and the Front ant message carries active
The identification information and link overhead of node, link overhead is 0 when initial；
(2) when Front ant message reaches sensor node i, sensor node i is from being located at cluster and before forwarded over
It into the neighbor node of ant message, selects to probability a neighbor node as next-hop node, continues to forward Front ant
Message:
In formula, FiwIndicate that sensor node i selects w-th of neighbor node as the probability of next-hop node；miFor in sensor
The neighbor node of node i is concentrated, and is located at sensor node i with cluster and without the neighbor node of forwarded over Front ant message
Quantity；L (i, w) is the pheromone concentration of the link of sensor node i to w-th of neighbor node, and H (i, w) is sensor
Distance of the node i to w-th of neighbor node, QwFor the current remaining of w-th of neighbor node, QminIt is described
The minimum energy value of setting；γ indicates to concentrate in the neighbor node of sensor node i, be located at sensor node i with cluster and
There is no the γ neighbor node of forwarded over Front ant message, L (i, γ) is that sensor node i is saved to the γ neighbour
The pheromone concentration of the link of point, H (i, γ) are distance of the sensor node i to the γ neighbor node, QγIt is described
The current remaining of the γ neighbor node；λ1、λ2For the weight coefficient of setting；
(3) if sensor node j is the next-hop node of selection, Front ant message is added in the node identification information of itself
Address link list, indicate Front ant report had accessed sensor node j, and according to the following formula update Front ant message
The link overhead of carrying:
Vt=Vt-1+H(i,j)×V
In formula, VtIndicate updated link overhead, Vt-1Indicate the link overhead before updating, V is the unit distance of setting
Link cost value；H (i, j) is the distance between sensor node i and sensor node j；
(4) continue to forward Front ant message until sending it to any one relay node according to (2), (3)；Relay node
K starts timeout clock when receiving the Front ant message of source node α generation, no longer receives source node α after timeout clock time-out
The Front ant message of generation, for all Front ant messages that the source node α received is generated, relay node k only selects to take
The link overhead of band the smallest Front ant message generates corresponding Back ant message, and along the link of the carrying
The inverse path of the smallest Front ant message of overhead sends the corresponding Back ant message, it is described it is corresponding after
The smallest Front ant of link overhead of the node identification information and the carrying of relay node k is carried to ant message
The address link list of message；
(5) when sensor node i receives the Back ant message of sensor node j transmission, the node of sensor node j is extracted
The relay node identification information that identification information and Back ant message carry, and it is stored in local, sensor node i is under
Column formula update itself to sensor node j link pheromone concentration:
In formula, L (i, j) ' indicates the pheromone concentration of link of the updated sensor node i to sensor node j, L (i, j)
For the pheromone concentration of the link of the sensor node i to sensor node j before update, link information element concentration is 0 when initial,
τ is the volatility of pheromones, and S is total hop count that Back ant message is sent to corresponding source node from relay node；ΔL
For predetermined constant, the total amount of the pheromones discharged in primary update is indicated；
(6) information that current sensor node is indicated according to the address link list of Back ant message continues to forward Back ant report
Text, until Back ant message reaches source node；
(7) it after source node receives the Back ant message that two relay nodes generate, extracted according to (5), update corresponding information,
And it is stored in local.
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