CN107153160A - A kind of wind power generating set all-position safety monitoring system - Google Patents
A kind of wind power generating set all-position safety monitoring system Download PDFInfo
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- CN107153160A CN107153160A CN201710251840.9A CN201710251840A CN107153160A CN 107153160 A CN107153160 A CN 107153160A CN 201710251840 A CN201710251840 A CN 201710251840A CN 107153160 A CN107153160 A CN 107153160A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Abstract
The present invention provides a kind of wind power generating set all-position safety monitoring system; can be with comprehensive monitoring wind power generating set by the condition monitoring unit, intelligent fire unit, safety and protection monitoring unit of the present invention; the each unit has all re-started design; the efficient and stable operation of wind power generating set is ensure that to greatest extent, with very positive realistic meaning.
Description
Technical field
The present invention relates to wind power generation field, more particularly to a kind of wind power generating set all-position safety monitoring system.
Background technology
As " internet+" wisdom energy development instruction is printed and distributed, as important component wind power generation nowadays
Have been assigned more wisdom genes.The wind-powered electricity generation industry of China since after 2006 just rob scale, installation robbed, by 2014
Benefit is excavated, scrap build, but compared to thermoelectricity, water power, nuclear power and other industry, wind power plant intellectuality really starts to walk
In fact very late.
Rapidly increase with the installed capacity of wind-driven power of China, total installation of generating capacity ratio increases year by year, single-machine capacity for megawatt
Level Large-scale Wind Turbines and megawatt wind up to a hundred are just developed rapidly；But it is remote to be due to that wind power plant is built in mostly
Area, substantially belongs to nobody or remote monitoring state, and blower interior is complicated, and fault rate is high, and disaster hidden-trouble is big, big portion
Point wind power plant had not installed the system related with running state monitoring to fire-fighting, security, even if some are mounted with above-mentioned indivedual systems
System, but each system is independent operating, and inefficiency, stability is poor, it is impossible to from truly being carried to wind power generating set
For comprehensive protection.
The content of the invention
The purpose of the present invention is achieved through the following technical solutions.
According to the embodiment of the present invention, it is proposed that a kind of wind power generating set all-position safety monitoring system, the system
System includes main control unit, condition monitoring unit, intelligent fire unit, safety and protection monitoring unit, CAN, CAN transmission
Unit；Wherein,
It is real that the condition monitoring unit includes vibrational state detection unit, running status predicting unit and electrical property
When detection unit；
The intelligent fire unit includes fire protection and alarm unit and intelligent fire fighting unit；
The safety and protection monitoring unit includes swarming into detection unit and alarm unit；
The CAN is used to connect main control unit, condition monitoring unit, intelligent fire unit, safety and protection monitoring list
Member, each unit accesses CAN by CAN transmission unit.
According to the present invention embodiment, the vibrational state detection unit specifically include vibration detection iversion controller,
Vibration tester, gravity sensor, frequency information acquisition unit, threshold value storage unit and vibration dependent failure Alarm Unit.
The vibration tester is installed in the middle part of the cabin of wind power generating set, and the gravity sensor is two, is installed
The mutually perpendicular direction in the horizontal plane of wind power generating set, and be connected with vibration tester, the gravity sensor
Export the real-time vibration signal of two vertical direction；Built-in five signal captures and extraction unit in the vibration tester, often
Individual signal capture captures each vibration monitoring signal by respective definite edge frequency with extraction unit, obtains each and shakes
The characteristic signal of dynamic monitoring signals, is afterwards extracted characteristic signal, each vibration monitoring signal being actually needed, institute
State vibration monitoring signal and brandish frequency, blade oscillating frequency, other low-frequency head self-vibrations frequency including the pylon natural frequency of vibration, blade
Rate and safe frequency of impact.
The vibration detection iversion controller previously according to Wind turbines running situation and Vibration Monitoring, Analyzing standard to pylon
The natural frequency of vibration, blade brandish frequency, blade oscillating frequency, other low-frequency head natural frequencies of vibration, the vibration prison of safe frequency of impact
Survey signal and corresponding secure threshold is set respectively, and be stored in threshold value storage unit.
The pylon natural frequency of vibration of acquisition, blade are brandished frequency, blade oscillating frequency, other low frequencies by the vibration tester
The vibration monitoring signal being actually needed of the part natural frequency of vibration sends frequency information acquisition unit to；Vibration detection iversion controller will frequency
The pylon natural frequency of vibration that rate information acquisition unit is obtained, blade brandish frequency, blade oscillating frequency, other low-frequency head self-vibrations
The safety of the corresponding vibration monitoring signal of vibration monitoring signal and the threshold value storage unit storage of frequency and safe frequency of impact
Threshold value is contrasted, and vibration detection iversion controller can be according to the result after contrast, and such as above-mentioned vibration monitoring signal exceeds secure threshold,
Then reported by vibrating dependent failure Alarm Unit to main control unit, the process instruction such as shutdown or maintenance is assigned by main control unit.
According to the embodiment of the present invention, the running status predicting unit can be to the real-time fortune of wind power generating set
Row state is predicted, and it is specifically included：
Operational parameter detection unit, the prison for obtaining parameter simulation amount needed for wind power generating set running status is respectively predicted
Survey data；
Digital unit, parameter simulation amount needed for respectively predicting the operating states of the units that operational parameter detection unit is obtained
Monitoring Data is digitized processing, obtains the degeneracy of wind power generating set running status Prediction Parameters；
Wind power generating set running status Prediction Parameters are divided into multiple packets, according to wind by weight coefficient determining unit
The degeneracy of power generator group running status Prediction Parameters, calculates the weighting of wind power generating set running status Prediction Parameters in real time
Coefficient；
Running status predicts iversion controller, and the wind power generating set running status Prediction Parameters in each project are constituted into chaos
Prediction matrix, with reference to the weight coefficient of each wind power generating set running status Prediction Parameters, prediction wind power generating set is transported in real time
Row state, and predicted the outcome to main controller transmission running status, referred to for control centre.
It is pre- that the operational parameter detection unit obtains wind power generating set running status from wind turbine control system
Parameter simulation amount needed for surveying.
According to the embodiment of the present invention, the real-time detection unit of electrical property is specifically included：Voltage signal separates
Circuit, voltage signal change-over circuit, current signal isolating circuit, current signal change-over circuit, multichannel synchronous acquisition chip, electricity
Performance detection iversion controller, RAM and display；
The voltage signal inputs of voltage signal isolating circuit are connected with the voltage signal output end of external voltage transformer；
The voltage signal output end of voltage signal isolating circuit is connected with the voltage signal inputs of voltage signal change-over circuit；The electricity
The voltage signal output end of pressure signaling conversion circuit is connected with the voltage signal inputs of multichannel synchronous acquisition chip；Electric current is believed
The current signal input of number isolating circuit is connected with the current signal output end of foreign current transformer；Current signal separates electricity
The current signal output end on road is connected with the current signal input of current signal change-over circuit；The current signal change-over circuit
Current signal output end be connected with the current signal input of multichannel synchronous acquisition chip；The multichannel synchronous acquisition core
The collection signal output part of piece detects that the collection signal input part of iversion controller is connected with electrical property；The electrical property detects iversion controller
Data storage I/O be connected with RAM data storage I/O；The display signal input part of the display
The display signal output part for detecting iversion controller with electrical property is connected.
According to the embodiment of the present invention, the intelligent fire fighting unit is by delivery unit and intelligent fire fighting iversion controller group
Into；
The delivery unit includes air compressor, high pressure gas holder, pressure valve, check (non-return) valve, transfer passage, powder extinguishing agent
Shower nozzle, ultra-fine carbonic acid ammonium dihydrogen fire fighting powder；
The intelligent fire fighting iversion controller includes fire extinguishing instruction reception unit and electrically operated valve, in the fire extinguishing command reception list
When member receives the fire extinguishing instruction of main controller transmission, electrically operated valve is opened, prepares the ultra-fine fire fighting powder of injection.
Can be with comprehensive by the above-mentioned condition monitoring unit, intelligent fire unit, safety and protection monitoring unit of the present invention
Monitoring wind power generating set, each unit all re-started design, wind power generating set ensure that to greatest extent
Efficient and stable operation, with very positive realistic meaning.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Accompanying drawing 1 shows the wind power generating set all-position safety monitoring system structural representation according to embodiment of the present invention
Figure；
Accompanying drawing 2 shows the vibrational state detection unit structural representation according to embodiment of the present invention；
Accompanying drawing 3 shows the running status predicting unit structural representation according to embodiment of the present invention；
Accompanying drawing 4 shows the real-time detection unit structural representation of electrical property according to embodiment of the present invention；
Accompanying drawing 5 shows the fire protection and alarm unit structural representation according to embodiment of the present invention；
Accompanying drawing 6 shows the intelligent fire fighting cellular construction schematic diagram according to embodiment of the present invention；
Accompanying drawing 7 shows the safety and protection monitoring cellular construction schematic diagram according to embodiment of the present invention.
Embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in accompanying drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.Conversely it is able to be best understood from the disclosure there is provided these embodiments, and can be by this public affairs
The scope opened completely convey to those skilled in the art.
According to the embodiment of the present invention, it is proposed that a kind of wind power generating set all-position safety monitoring system, such as accompanying drawing 1
It is shown, the system include main control unit, condition monitoring unit, intelligent fire unit, safety and protection monitoring unit, CAN,
CAN transmission unit；Wherein,
It is real that the condition monitoring unit includes vibrational state detection unit, running status predicting unit and electrical property
When detection unit；
The intelligent fire unit includes fire protection and alarm unit and intelligent fire fighting unit；
The safety and protection monitoring unit includes swarming into detection unit and alarm unit；
The CAN is used to connect main control unit, condition monitoring unit, intelligent fire unit, safety and protection monitoring list
Member, each unit accesses CAN by CAN transmission unit.
According to the embodiment of the present invention, as shown in Figure 2, the vibrational state detection unit specifically includes vibration
Detect iversion controller, vibration tester, gravity sensor, frequency information acquisition unit, threshold value storage unit and the related event of vibration
Hinder Alarm Unit.
The vibration tester is installed in the middle part of the cabin of wind power generating set, and the gravity sensor is two, is installed
The mutually perpendicular direction in the horizontal plane of wind power generating set, and be connected with vibration tester, the gravity sensor
Export the real-time vibration signal of two vertical direction；Built-in five signal captures and extraction unit in the vibration tester, often
Individual signal capture captures each vibration monitoring signal by respective definite edge frequency with extraction unit, obtains each and shakes
The characteristic signal of dynamic monitoring signals, is afterwards extracted characteristic signal, each vibration monitoring signal being actually needed, institute
State vibration monitoring signal and brandish frequency, blade oscillating frequency, other low-frequency head self-vibrations frequency including the pylon natural frequency of vibration, blade
Rate and safe frequency of impact.
The vibration detection iversion controller previously according to Wind turbines running situation and Vibration Monitoring, Analyzing standard to pylon
The natural frequency of vibration, blade brandish frequency, blade oscillating frequency, other low-frequency head natural frequencies of vibration, the vibration prison of safe frequency of impact
Survey signal and corresponding secure threshold is set respectively, and be stored in threshold value storage unit.
The pylon natural frequency of vibration of acquisition, blade are brandished frequency, blade oscillating frequency, other low frequencies by the vibration tester
The vibration monitoring signal being actually needed of the part natural frequency of vibration sends frequency information acquisition unit to；Vibration detection iversion controller will frequency
The pylon natural frequency of vibration that rate information acquisition unit is obtained, blade brandish frequency, blade oscillating frequency, other low-frequency head self-vibrations
The safety of the corresponding vibration monitoring signal of vibration monitoring signal and the threshold value storage unit storage of frequency and safe frequency of impact
Threshold value is contrasted, and vibration detection iversion controller can be according to the result after contrast, and such as above-mentioned vibration monitoring signal exceeds secure threshold,
Then reported by vibrating dependent failure Alarm Unit to main control unit, the process instruction such as shutdown or maintenance is assigned by main control unit.
According to the embodiment of the present invention, as shown in Figure 3, the running status predicting unit can be sent out wind-force
Group of motors real-time running state is predicted, and it is specifically included：
Operational parameter detection unit, the prison for obtaining parameter simulation amount needed for wind power generating set running status is respectively predicted
Survey data；
Digital unit, parameter simulation amount needed for respectively predicting the operating states of the units that operational parameter detection unit is obtained
Monitoring Data is digitized processing, obtains the degeneracy of wind power generating set running status Prediction Parameters；
Wind power generating set running status Prediction Parameters are divided into multiple packets, according to wind by weight coefficient determining unit
The degeneracy of power generator group running status Prediction Parameters, calculates the weighting of wind power generating set running status Prediction Parameters in real time
Coefficient；
Running status predicts iversion controller, and the wind power generating set running status Prediction Parameters in each project are constituted into chaos
Prediction matrix, with reference to the weight coefficient of each wind power generating set running status Prediction Parameters, prediction wind power generating set is transported in real time
Row state, and predicted the outcome to main controller transmission running status, referred to for control centre.
It is pre- that the operational parameter detection unit obtains wind power generating set running status from wind turbine control system
Parameter simulation amount includes bearing temperature, oil sump temperature, motor winding temperature, motor speed, ambient wind velocity, other yuan of device needed for surveying
Part temperature, environment temperature, running current voltage, power, mains frequency etc.；
The digital unit is to low preference parameter：Bearing temperature, oil sump temperature, motor temperature, other component temperature
Degree, the digitlization of environment temperature are carried out by following formula respectively：
In formula, g (x) represents the degeneracy of wind power generating set running status Prediction Parameters, and x runs for wind power generating set
The Monitoring Data of the physical quantity of status predication parameter, α is the parameter lower limit value, and β is the higher limit of the parameter；
To middle shape parameter：Motor speed, ambient wind velocity, running current voltage, power, the digitlization difference of mains frequency
Carried out by following formula：
In formula, g (x) represents the degeneracy of wind power generating set running status Prediction Parameters, and x runs for wind power generating set
The Monitoring Data of the physical quantity of status predication parameter, β1、β2For the parameter upper limit value, α1、α2For the parameter lower limit value；
The weight coefficient determining unit determines the fixed weighting coefficient of each wind power generating set running status Prediction Parameters,
And the variable weighting coefficients of each wind power generating set running status Prediction Parameters are obtained by following formula：
In above formulaWithThe corresponding fixed weighting coefficient of k-th of parameter of jth packet in respectively i-th project
And variable weighting coefficients, δ is the variable weighting coefficients factor, δ=- 1；D is the critical parameter number that packet layer includes；Table
Show the degeneracy of each critical parameter.
Unit performance and external factor 2 of the running status predicting unit from influence wind power generating set running status
Aspect sets up the running status Prediction Parameters system of hierarchical, and the weight coefficient of running status Prediction Parameters is calculated in real time, can be made
Predict the outcome current operating situation, by judging that the degeneracy of individual event Prediction Parameters deviates situation, can avoid working as multinomial fortune
During row status predication parameter substantial deviation, the problem of variable weighting coefficients of gained are invalid；The chaos operator of selection considers master
Influence of the Prediction Parameters to running status is wanted, the full detail of single Prediction Parameters is retained again so that predict the outcome and more meet reality
Border situation.
According to the embodiment of the present invention, as shown in Figure 4, the real-time detection unit of electrical property is specifically included：
Voltage signal isolating circuit, voltage signal change-over circuit, current signal isolating circuit, current signal change-over circuit, multichannel are same
Walk acquisition chip, electrical property detection iversion controller, RAM and display.
The voltage signal inputs of voltage signal isolating circuit are connected with the voltage signal output end of external voltage transformer；
The voltage signal output end of voltage signal isolating circuit is connected with the voltage signal inputs of voltage signal change-over circuit；The electricity
The voltage signal output end of pressure signaling conversion circuit is connected with the voltage signal inputs of multichannel synchronous acquisition chip；Electric current is believed
The current signal input of number isolating circuit is connected with the current signal output end of foreign current transformer；Current signal separates electricity
The current signal output end on road is connected with the current signal input of current signal change-over circuit；The current signal change-over circuit
Current signal output end be connected with the current signal input of multichannel synchronous acquisition chip；The multichannel synchronous acquisition core
The collection signal output part of piece detects that the collection signal input part of iversion controller is connected with electrical property；The electrical property detects iversion controller
Data storage I/O be connected with RAM data storage I/O；The display signal input part of the display
The display signal output part for detecting iversion controller with electrical property is connected.
The real-time detection unit of electrical property passes through voltage signal isolating circuit, voltage signal change-over circuit, current signal
Isolating circuit and current signal change-over circuit access power network main transformer high and low pressure side to wind power plant and carry out multichannel Simultaneous Monitoring
Sampling；Timing electrical property monitoring and data storage in real time are realized, while realizing instantaneous overvoltage and temporary overvoltage waveform
Automatic start record, all monitoring variables about electrical property real-time criteria in whole national standards are realized, by steady state measurement
Merged into a single whole with transient measuring.
According to the embodiment of the present invention, as shown in Figure 5, the fire protection is examined with alarm unit including fire-fighting
Iversion controller, pyrotechnics detection unit and alarm unit are surveyed, the pyrotechnics detection unit includes high-definition intelligent ball machine, image decoding core
Piece, digital processing circuit.
The high-definition intelligent ball machine captures the image information in monitoring place, and image information is sent into image decoding core
Piece carries out image decoding；
The digital video signal obtained after decoding is sent to the data input pin of digital processing circuit by image decoding chip
Mouthful, the vision signal to input in digital processing circuit is pre-processed, and then carries out frame to pretreated image sequence
Between calculus of differences, obtain the image of motion change, then using a fixed threshold add frame difference inclined image after calculus of differences
Shifting amount carries out double quantification computing, and the double quantification image moved, the double quantification image is made up of dynamic point and fixed point；It is right
The double quantification image of obtained motion carries out morphology except making an uproar, and isolated point and interference pixel is removed, using the net of setting
Lattice size, to carrying out mesh mapping except the double quantification image for making an uproar later, obtains gridding image；
Use region growing algorithm to catch the moving target in monitoring range the image of the gridding, obtain present frame
Moving target sequence, in original image, space orientation is carried out to resulting moving target sequence, to the original graph of positioning
As carrying out high-pass filtering, and gridding is carried out, obtain filtering grid chart, image is carried out with gridding image to filtering grid chart
With degree matching, matching degree is high for the opaque moving target of rigid body, and low matching degree is translucent moving target, regular to matching degree
Change output, form fit degree characteristic value is used as using this matching degree；
To the moving target sequence carry out from all directions to target following, the target centroid point that statistical trace is arrived, and pair when
Between the movement locus that carries out curve fitting as target of centroid point in sequence, motion speed is carried out to obtained target curve movement
The feature extraction of degree and the direction of motion, the target that movement velocity is slow, direction is upward carries out defeated as pyrotechnics image probability factor
Go out, obtain motion morphology characteristic value；
The fire protection iversion controller is judged above-mentioned form fit degree characteristic value and motion morphology characteristic value, if outside
Shape matching degree characteristic value is less than the empirical value set in advance in digital processing circuit, and when motion morphology characteristic value probability is more than
During one set-point, the target image is drawn for the conclusion of pyrotechnics and fire alarm signal is sent by alarm unit, simultaneously will
Fire alarm signal and live video image signal are sent to main controller, and wait main controller to assign fire extinguishing instruction.
According to the embodiment of the present invention, the intelligent fire fighting unit is referred to receiving the fire extinguishing that main controller assigns
Fire extinguishing processing is carried out to the current condition of a fire after order, as shown in Figure 6, the intelligent fire fighting unit is by delivery unit and intelligent fire fighting point
Control device composition.
The delivery unit includes air compressor, high pressure gas holder, pressure valve, check (non-return) valve, transfer passage, powder extinguishing agent
Shower nozzle, ultra-fine carbonic acid ammonium dihydrogen fire fighting powder.
Air is compressed into gases at high pressure to transfer passage offer Novel super-thin carbonic acid ammonium dihydrogen fire fighting powder by air compressor
The power of flowing.
Pressure valve be used for monitor atmospheric pressure value in high pressure gas holder, make its maintain at different ambient temperatures safe atmospheric pressure value with
Under.
Check (non-return) valve prevents the backflow of fluid.
The transfer passage includes main pipeline and subtube, and the upper end of main pipeline connects air compressor and high pressure gas holder, its
Lower end connects the subtube in each room, and fire fighting powder is transported to the extinguishing chemical shower nozzle occurred in conflagration area when fire occurs
Place.
The intelligent fire fighting iversion controller includes fire extinguishing instruction reception unit and electrically operated valve, in the fire extinguishing command reception list
When member receives the fire extinguishing instruction of main controller transmission, electrically operated valve is opened, prepares the ultra-fine fire fighting powder of injection.
According to the embodiment of the present invention, as shown in Figure 7, the safety and protection monitoring unit includes safety and protection monitoring sub-control
Device, swarm into detection unit and alarm unit.
The detection unit of swarming into includes swarming into confirmation unit and swarms into recognition unit, and the confirmation unit of swarming into is including more
The individual measuring node based on zigbee, the link strength for being arranged at pylon surrounding collects node and swarms into confirmation arithmetic element,
Radio communication is carried out between the measuring node based on zigbee, each node sends wireless signal successively, and other nodes are received
Wireless signal simultaneously records received signal strength, and link strength collects node and collects all based on zigbee's by Zigbee-technology
The wireless link signals strength information that measuring node is measured, meanwhile, the information of collection is sent to and swarms into confirmation arithmetic element,
Swarm into confirmation arithmetic element according to Radio Link strength information realize to whether the detection for thering is object to swarm into.
Described swarm into confirms that arithmetic element is realized to whether the detection for having object to swarm into has according to Radio Link strength information
Body includes：
Assuming that respectively form n wireless links between the measuring node based on zigbee, t-1 and t respectively obtain by
The eigenmatrix A and B of average m and variance the v composition of this n wireless links received signal strength are as follows：
Wherein, eigenmatrix A and B contain the average m and variance v features of wireless link signals intensity, mn1And vn2
The signal intensity average and variance of nth bar Radio Link are represented respectively；Calculate the size of corresponding element value in eigenmatrix A and B
It is as follows that similarity degree obtains matching degree Matrix C：
Wherein, mn1‐m'n1Represent the difference of the average of nth bar link, vn1‐v'n1Represent the variance of nth bar link
Difference, dnRepresent the length of nth bar link.It is described to rush when each element sum of matching degree Matrix C is more than the threshold value of setting
Enter to confirm that arithmetic element will judge that object is swarmed into.
When swarm into confirmation unit confirm object swarm into when, it is described swarm into recognition unit startup, it is described to swarm into recognition unit bag
Include：
Image capturing unit, for obtaining still image, and is transferred to graphics processing unit.
Image process unit, for being pre-processed to static image, obtains grey level compensation image.
Portrait detection unit, for carrying out portrait detection and positioning to grayscale image；Fixation is obtained if portrait is detected
The gray scale portrait image of size, and it is transferred to Identification of Images unit；Directly grayscale image is transmitted if portrait is not detected
Give background contrast's unit；
Background contrast's unit, what average background image and portrait detection unit for data storage cell to be stored were transmitted
Grayscale image is respectively divided into the sub-image of several weighteds, calculates the matching degree of correspondence sub-image, and to all sub- shadows
The matching degree of picture is weighted summation, abnormal as detecting if weighted sum result is more than default matching degree threshold value
Data storage cell is arrived in grayscale image storage, and notifies alarm unit to be alarmed.
Identification of Images unit, is carried out for the registered portrait image to gray scale portrait image and data storage cell storage
Feature extraction, calculating matching degree, determine whether stranger, if stranger then notifies alarm management unit to enter according to matching degree
Row alarm.
Portrait registering unit, for detecting gray scale portrait image in real time, and is marked.
Data storage cell, for storing registered portrait image, is judged to the gray scale portrait image of stranger, detects
Abnormal grayscale image, average background image and customized information.
The Identification of Images unit comprises the following steps when carrying out feature extraction, calculating matching degree：
A) the N registered portrait image p stored to gray scale portrait image q to be identified and data storage celli(i=
1,2 ..., N) local diadic mode conversion is carried out, to reduce the influence that the change such as illumination is brought；
B) image after step a) is converted is divided into that L size be identical and sub-image blocks of non-overlapping copies；
C) to gray scale portrait image q to be identified each sub-image block qjWith the son of all corresponding registered portrait images
Image blocks pi,jStochastical sampling is carried out, that is, randomly chooses qjAnd pi,jThe numerical value of several same positions, obtains test feature subset
q,jWith training characteristics subset p,i,j, wherein i=1,2 ..., N, j=1,2 ... L；
D) Hamming distance calculated between test feature subset and training characteristics subset is measured as matching degree, if test is special
The Hamming distance that subset is levied between most like training characteristics subset exceedes matching degree threshold value set in advance, then it is assumed that this time
Sub-image block q representated by stochastical samplingjAnd pi,j(i=1,2 ..., N) is dissimilar；
E) step c) and d) repetition k times, that is, carry out k stochastical sampling, counts L of gray scale portrait image q to be identified
The dissimilar number of times that sub-image block one is obtained, gray scale portrait shadow to be identified is thought if dissimilar number of times exceedes predetermined threshold
It is stranger or unregistered as the N registered portrait image that q and data storage cell are stored is all dissimilar, otherwise to have noted
Volume.
Can be with comprehensive by the above-mentioned condition monitoring unit, intelligent fire unit, safety and protection monitoring unit of the present invention
Monitoring wind power generating set, the Effec-tive Function of wind power generating set is ensure that to greatest extent, with very positive reality
Meaning.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, the change or replacement that can be readily occurred in,
It should all be included within the scope of the present invention.Therefore, protection scope of the present invention should the protection model with claim
Enclose and be defined.
Claims (5)
1. a kind of wind power generating set all-position safety monitoring system, the system includes main control unit, condition monitoring list
Member, intelligent fire unit, safety and protection monitoring unit, CAN, CAN transmission unit；Wherein,
The condition monitoring unit is examined in real time including vibrational state detection unit, running status predicting unit and electrical property
Survey unit；
The intelligent fire unit includes fire protection and alarm unit and intelligent fire fighting unit；
The safety and protection monitoring unit includes swarming into detection unit and alarm unit；
The CAN is used to connect main control unit, condition monitoring unit, intelligent fire unit, safety and protection monitoring unit, institute
State each unit and CAN is accessed by CAN transmission unit.
2. a kind of the system as claimed in claim 1, the vibrational state detection unit specifically includes vibration detection iversion controller, shaken
Dynamic tester, gravity sensor, frequency information acquisition unit, threshold value storage unit and vibration dependent failure Alarm Unit；
The vibration tester is installed in the middle part of the cabin of wind power generating set, and the gravity sensor is two, installed in wind
Mutually perpendicular direction in the horizontal plane of power generator group, and be connected with vibration tester, the gravity sensor output
The real-time vibration signal of two vertical direction；Built-in five signal captures and extraction unit, Mei Gexin in the vibration tester
Number capture with extraction unit each vibration monitoring signal is captured by respective definite edge frequency, obtain each vibration prison
The characteristic signal of signal is surveyed, is afterwards extracted characteristic signal, each vibration monitoring signal being actually needed is described to shake
Dynamic monitoring signals include the pylon natural frequency of vibration, blade brandish frequency, blade oscillating frequency, other low-frequency head natural frequencies of vibration, with
And safe frequency of impact；
The vibration detection iversion controller previously according to Wind turbines running situation and Vibration Monitoring, Analyzing standard to pylon self-vibration
Frequency, blade brandish frequency, blade oscillating frequency, other low-frequency head natural frequencies of vibration, the vibration monitoring letter of safe frequency of impact
Number corresponding secure threshold is set respectively, and is stored in threshold value storage unit；
The pylon natural frequency of vibration of acquisition, blade are brandished frequency, blade oscillating frequency, other low-frequency heads by the vibration tester
The vibration monitoring signal being actually needed of the natural frequency of vibration sends frequency information acquisition unit to；Vibration detection iversion controller believes frequency
The pylon natural frequency of vibration that is obtained of breath acquiring unit, blade brandish frequency, blade oscillating frequency, other low-frequency head self-vibrations frequency
The safety threshold of the corresponding vibration monitoring signal of vibration monitoring signal and the threshold value storage unit storage of rate and safe frequency of impact
Value is contrasted, and vibration detection iversion controller can be according to the result after contrast, and such as above-mentioned vibration monitoring signal exceeds secure threshold, then
Reported by vibrating dependent failure Alarm Unit to main control unit, the process instruction such as shutdown or maintenance is assigned by main control unit.
3. a kind of the system as claimed in claim 1, the running status predicting unit, for the real-time fortune of wind power generating set
Row state is predicted, and it is specifically included：
Operational parameter detection unit, the monitoring number for obtaining parameter simulation amount needed for wind power generating set running status is respectively predicted
According to；
Digital unit, the monitoring of parameter simulation amount needed for respectively predicting the operating states of the units that operational parameter detection unit is obtained
Data are digitized processing, obtain the degeneracy of wind power generating set running status Prediction Parameters；
Wind power generating set running status Prediction Parameters are divided into multiple packets, sent out according to wind-force by weight coefficient determining unit
The degeneracy of group of motors running status Prediction Parameters, calculates the weighting system of wind power generating set running status Prediction Parameters in real time
Number；
Running status predicts iversion controller, and the wind power generating set running status Prediction Parameters in each project are constituted into chaotic prediction
Matrix, with reference to the weight coefficient of each wind power generating set running status Prediction Parameters, predicts wind power generating set real time execution shape
State, and predicted the outcome to main controller transmission running status, referred to for control centre；
The operational parameter detection unit obtains wind power generating set running status prediction institute from wind turbine control system
Need parameter simulation amount.
4. a kind of the system as claimed in claim 1, the real-time detection unit of electrical property is specifically included：Voltage signal separates electricity
Road, voltage signal change-over circuit, current signal isolating circuit, current signal change-over circuit, multichannel synchronous acquisition chip, electrically
Iversion controller, RAM and display can be detected；
The voltage signal inputs of voltage signal isolating circuit are connected with the voltage signal output end of external voltage transformer；Voltage
The voltage signal output end of signal isolating circuit is connected with the voltage signal inputs of voltage signal change-over circuit；The voltage letter
The voltage signal output end of number change-over circuit is connected with the voltage signal inputs of multichannel synchronous acquisition chip；Current signal point
It is connected every the current signal input of circuit with the current signal output end of foreign current transformer；Current signal isolating circuit
Current signal output end is connected with the current signal input of current signal change-over circuit；The electricity of the current signal change-over circuit
Stream signal output part is connected with the current signal input of multichannel synchronous acquisition chip；The multichannel synchronous acquisition chip
Collection signal output part detects that the collection signal input part of iversion controller is connected with electrical property；The electrical property detects depositing for iversion controller
Storage data output input is connected with RAM data storage I/O；The display signal input part of the display and electricity
The display signal output part of performance detection iversion controller is connected.
5. a kind of the system as claimed in claim 1, the intelligent fire fighting unit is by delivery unit and intelligent fire fighting iversion controller group
Into；
The delivery unit includes air compressor, high pressure gas holder, pressure valve, check (non-return) valve, transfer passage, powder extinguishing agent spray
Head, ultra-fine carbonic acid ammonium dihydrogen fire fighting powder；
The intelligent fire fighting iversion controller includes fire extinguishing instruction reception unit and electrically operated valve, is connect in the fire extinguishing instruction reception unit
When receiving the fire extinguishing instruction of main controller transmission, electrically operated valve is opened, prepares the ultra-fine fire fighting powder of injection.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110440910A (en) * | 2019-08-22 | 2019-11-12 | 西门子工厂自动化工程有限公司 | Vibration monitoring method, apparatus, drive system, industrial control equipment and storage medium |
| CN110927485A (en) * | 2019-11-18 | 2020-03-27 | 华中科技大学 | Linear motion system health monitoring method based on spatial domain information |
| CN116958909A (en) * | 2023-09-20 | 2023-10-27 | 山东通广电子股份有限公司 | Video monitoring system and monitoring method based on gridding management and control |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101629990A (en) * | 2009-08-17 | 2010-01-20 | 南车株洲电力机车研究所有限公司 | Full power test method and test device for whole wind turbine |
| CN201496202U (en) * | 2009-09-24 | 2010-06-02 | 吴建华 | Automatic fire-service measurement, control and emergency system of wind generator nacelle |
| CN203704983U (en) * | 2014-03-08 | 2014-07-09 | 湖南科技大学 | Wireless transmission based wind turbine blade root stress and blade vibration detection apparatus |
| CN104075795A (en) * | 2014-06-18 | 2014-10-01 | 北京金风科创风电设备有限公司 | Method and system for monitoring vibration state of impeller of wind generating set |
| CN104515677A (en) * | 2015-01-12 | 2015-04-15 | 华北电力大学 | Failure diagnosing and condition monitoring system for blades of wind generating sets |
-
2017
- 2017-04-14 CN CN201710251840.9A patent/CN107153160B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101629990A (en) * | 2009-08-17 | 2010-01-20 | 南车株洲电力机车研究所有限公司 | Full power test method and test device for whole wind turbine |
| CN201496202U (en) * | 2009-09-24 | 2010-06-02 | 吴建华 | Automatic fire-service measurement, control and emergency system of wind generator nacelle |
| CN203704983U (en) * | 2014-03-08 | 2014-07-09 | 湖南科技大学 | Wireless transmission based wind turbine blade root stress and blade vibration detection apparatus |
| CN104075795A (en) * | 2014-06-18 | 2014-10-01 | 北京金风科创风电设备有限公司 | Method and system for monitoring vibration state of impeller of wind generating set |
| CN104515677A (en) * | 2015-01-12 | 2015-04-15 | 华北电力大学 | Failure diagnosing and condition monitoring system for blades of wind generating sets |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110440910A (en) * | 2019-08-22 | 2019-11-12 | 西门子工厂自动化工程有限公司 | Vibration monitoring method, apparatus, drive system, industrial control equipment and storage medium |
| CN110927485A (en) * | 2019-11-18 | 2020-03-27 | 华中科技大学 | Linear motion system health monitoring method based on spatial domain information |
| CN116958909A (en) * | 2023-09-20 | 2023-10-27 | 山东通广电子股份有限公司 | Video monitoring system and monitoring method based on gridding management and control |
| CN116958909B (en) * | 2023-09-20 | 2023-12-22 | 山东通广电子股份有限公司 | Video monitoring system and monitoring method based on gridding management and control |
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| CN107153160B (en) | 2018-07-06 |
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