CN106644325A - System for detecting potential safety hazards of hydraulic structure - Google Patents
System for detecting potential safety hazards of hydraulic structure Download PDFInfo
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- CN106644325A CN106644325A CN201710009141.3A CN201710009141A CN106644325A CN 106644325 A CN106644325 A CN 106644325A CN 201710009141 A CN201710009141 A CN 201710009141A CN 106644325 A CN106644325 A CN 106644325A
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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
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0033—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining damage, crack or wear
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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
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0066—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by exciting or detecting vibration or acceleration
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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
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0091—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by using electromagnetic excitation or detection
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Abstract
The invention discloses a system for detecting potential safety hazards of a hydraulic structure. The system comprises a dynamic excitation source, a measuring point optimal layout subsystem, a signal collecting subsystem, a signal processing subsystem and an early warning system, wherein the dynamic excitation source is used for performing outside excitation on the hydraulic structure and causing the hydraulic structure vibrate so as to send power response signals; the measuring point optimal layout subsystem is used for acquiring the optimal combination and arranging positions of all sensors used for sensing the power response signals according to a specific structure of the hydraulic structure; the signal collecting subsystem is used for collecting the power response signals sensed by all the arranged sensors; the signal processing subsystem is used for processing and analyzing the power response signals sensed by all the sensors; and the early warning system is used for sending early warning information according to a processing result for the power response signals. The system disclosed by the invention can be used for detecting the hidden danger scope of the hydraulic structure and the damage degree of the structure and can be used for comprehensively checking the overall health condition of the hydraulic structure.
Description
Technical field
The present invention relates to a kind of Security Vulnerability Detecting System of hydraulic structure, belongs to Hydraulic and Hydro-Power Engineering technical field.
Background technology
Hydraulic structure, because its Service Environment is special, will for a long time subject high-velocity flow, frost, temperature, earthquake etc. various
The impact of environmental load, can cause its structure to produce structural damage because of corrosion and fatigue, and these damage and are normally present in knot again
The submarine site of structure, is difficult to be found and form potential safety hazard.In the built all kinds of reservoirs of China, most run times
It is long, it is aging in bad repair serious, there are problems that serious disease danger, long-term potential safety hazard affects in lasting external environment load
Under, easily there is the serious event that breaks down, cause immeasurable casualties and economic loss.As can be seen here, water conservancy project knot is strengthened
The safety detection of structure, investigates as early as possible its potential safety hazard, ensures that its safe operation is imperative.
From saying the angle whether hydraulic structure impacts, existing hydraulic structure safety detection method is divided into nothing
Damage detection method and damage detection method.Damage detection method inefficiency and have infringement to detected material, it is difficult to meet new period sluice
The needs of engineering detecting；Lossless detection method (such as rebound method, supercritical ultrasonics technology, seismic wave method, geological radar method) needs prior
Know the apparent position of hidden danger, and detecting instrument can reach hidden danger apparent position, be affected by water, conventional lossless detection method
It is difficult to the perils detecting to structure underwater sites.
The content of the invention
In view of the foregoing, it is an object of the invention to provide a kind of Security Vulnerability Detecting System of hydraulic structure, leads to
Dynamic exciting source forcing hydraulic structure is crossed, obtains dynamic under incentive action using some sensors being laid in hydro-structure
Power reaction signal, is processed and is analyzed to dynamic response signal, detects the hidden trouble scope and structural damage journey of hydraulic structure
Degree.
For achieving the above object, the present invention is employed the following technical solutions：
A kind of Security Vulnerability Detecting System of hydraulic structure, including dynamic excitation source, optimizing the locations of the measuring points subsystem, letter
Number acquisition subsystem, signal processing subsystem, early warning subsystem,
Dynamic excitation source, for carrying out dynamic excitation to hydraulic structure, makes hydraulic structure produce vibration and send dynamic
Force-responsive signal；
Optimizing the locations of the measuring points subsystem, for according to the concrete structure of hydraulic structure, obtaining for sensing dynamic response
The optimum combination and installation position of each sensor of signal；
Signals collecting subsystem, gathers the dynamic response signal that each sensor laid is sensed；
Signal processing subsystem, for the dynamic response signal that each sensor is sensed to be processed, analyzed；
Early warning subsystem, for result of the basis to dynamic response signal, sends early warning information.
The dynamic excitation source be the one kind in environmental excitation, artificial excitation, electromagnetic wave, ultrasound wave, radar, seismic wave or
It is several combinations.
The optimizing the locations of the measuring points subsystem is based on Fisher information matrix, comentropy, mutual information, mode energy, model
Reduction, controllable/ornamental, structure recognition probability, using Non-Linear Programming, serial method, random class, Immune Clone Selection and discrete particle
Group's hybrid algorithm calculates the optimum combination and installation position of each sensor.
Each sensor includes acceleration transducer, velocity sensor, displacement transducer, sonic sensor, each sensing
The corresponding signal cables of signal output part Jing of device, optical fiber are connected with the signal input part of the signal processing subsystem, with
The signal processing subsystem is given by the signal transmission of sensing.
The signal processing subsystem includes to the process that dynamic response signal is processed：To the dynamic response letter for gathering
Number noise reduction process is carried out, extract effective dynamic response signal；Modal Parameter Identification is carried out to effective dynamic response signal；
The characteristic quantity for identifying hydraulic structure sensitive structure is extracted as Testing index.
The Testing index includes：Frequency-domain index, time domain index, time-frequency domain index, mode targets, according to the change of each index
Change situation, judges health status, hidden trouble scope, the structural damage degree of the diverse location of hydraulic structure structure.
The each Testing index of correspondence sets corresponding hidden danger threshold value, each detection that signal processing subsystem process is obtained
Desired value is compared with corresponding hidden danger threshold value, when Testing index value meets or exceeds hidden danger threshold value, judges waterwork
The potential safety hazard of thing has reached to a certain degree, is reported to the police by the early warning subsystem.
Potential safety hazard detection is carried out to ERTAN Hydroelectric ProJect cushion pool, wherein：Using power station flood discharge natural water as dynamic
State driving source, lays A32 sensors, elevation 1204.8m, the cloth at the wall of 2# mesopore headstock gears upstream at the vault subsidence of 4# tables hole
If A31 sensors, A1～A12 sensors are laid on elevation 1136m, cushion pool surface along riverbed axis, and elevation is 980m, water
Lay A22-A30 sensors in the gallery of pad pool right side successively, in the gallery of cushion pool left side A13-A19 sensors, water are laid successively
Pad pool left side side slope gallery lays A20-A21 sensors, the vibration letter of each sensor acquisition cushion pool different measuring points using more than
Number, the vibration signal to gathering carries out amplitude domain and processes and analysis, frequency domain process and analysis, Time Domain Processing and analysis, by signal
Result is compared with default corresponding threshold value of warning, if signal processing results are reached or more than corresponding early warning threshold
Value, starting early warning subsystem carries out early warning.
It is an advantage of the invention that：
1st, the extraneous load action using dynamic excitation source simulation to hydraulic structure, will not impact to structure；
2nd, some sensors are laid in hydraulic structure, to obtain the lower hydraulic structure of dynamic excitation source effect vibration is produced
And the dynamic response signal for sending, hidden trouble scope, the structural failure position of inside configuration can be accordingly detected, check that water conservancy project is built comprehensively
Build the holistic health of thing；
3rd, using signal processing subsystem dynamic response signal is processed and is analyzed, when hidden danger is reached to a certain degree
When, Jing early warning subsystems send early warning, can in time carry out prediction scheme process, it is ensured that hydraulic structure is normally used, it is to avoid caused
Loss；
4th, the hardware such as each sensor, signal cable can be detected under water through water-proofing treatment.
Description of the drawings
Fig. 1 is the block diagram of system of the present invention.
Fig. 2 is the Testing index system assumption diagram of the present invention.
Fig. 3 is the flow chart of the Immune Clone Selection of the present invention and discrete particle cluster hybrid algorithm.
Fig. 4 is the laying structure figure of sensor in a specific embodiment.
Specific embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
As shown in figure 1, the Security Vulnerability Detecting System of hydraulic structure disclosed by the invention, including dynamic excitation source, survey
Point preferred arrangement subsystem, signals collecting subsystem, signal processing subsystem, early warning subsystem；
Dynamic excitation source, for carrying out dynamic excitation to hydraulic structure, makes hydraulic structure produce vibration and send dynamic
Force-responsive signal.Dynamic excitation source can be in environmental excitation, artificial excitation, electromagnetic wave, ultrasound wave, radar, seismic wave etc.
A kind of or several combination.
Optimizing the locations of the measuring points subsystem, for according to the concrete structure of hydraulic structure, being sensed based on special algorithm
The optimal location position of device.The special algorithm is referred to finds the optimal solution for meeting certain performance requirement under constraints, that is, seek
The sensor positioning scheme for meeting specified criteria to greatest extent, acquisition is asked to be capable of the information of effecting reaction structural dynamic response；It is accurate
Then e.g. known based on Fisher information matrix, comentropy, mutual information, mode energy, model reduction, controllable/ornamental, structure
Other probability, using Non-Linear Programming, serial method, random class scheduling algorithm the optimum combination of sensor is calculated.
Signals collecting subsystem, according to the result of calculation of optimizing the locations of the measuring points subsystem, the spy inside hydraulic structure
Positioning puts some sensors of laying, and each sensor sensing is dynamic produced by hydraulic structure under the incentive action of dynamic excitation source
Force-responsive signal.According to different dynamic excitation sources, the sensor that can accordingly lay includes acceleration transducer, velocity pick-up
Device, displacement transducer, sonic sensor etc., signal output part Jing signal cables, optical fiber of each sensor etc. and signal processing
The signal input part of system is connected, by the signal transmission of sensing to signal processing subsystem.
Signal processing subsystem, for gathering the dynamic response signal of signals collecting subsystem sensing, believes dynamic response
Number processed, analyzed, processing method is included：
1) the dynamic response signal to gathering carries out noise reduction process, extracts effective dynamic response signal；
Affected by extraneous complex environment, the dynamic response signal component of each sensor actual acquisition is complicated, and it is first right to need
The dynamic response signal of collection carries out noise reduction process, removes interference therein and noise signal, extracts effective dynamic response
Signal.Noise reduction process method includes, empirical mode decomposition (EMD), wavelet analysises, set empirical mode decomposition (EEMD) etc..
2) Modal Parameter Identification is carried out to effective dynamic response signal；
Effective dynamic response signal to extracting carries out Modal Parameter Identification, and modal parameter extracting method includes：Peak
Value pickup method, frequency domain decomposition method, Ibrahim time domain methods, least square complex exponential method, time series method, tag system are realized calculating
Method, Random Subspace Method etc., may recognize that the features such as natural frequency, damping ratio, the vibration shape of structure different conditions various location
Whether index, tentatively judge structure in working healthily state.
3) characteristic quantity for identifying hydraulic structure sensitive structure is extracted as Testing index；
The characteristic quantity of the sensitive structure can project the feature for characterizing hydraulic structure structure, the group of multiple different characteristic amounts
Conjunction more can be comprehensively portrayed the architectural feature of hydraulic structure.As shown in Fig. 2 Testing index includes：Frequency domain refers to
Mark, time domain index, time-frequency domain index, mode targets etc., according to the situation of change of each index, judge hydraulic structure structure not
With the health status of position, hidden trouble scope, structural damage degree etc..
Early warning subsystem, for the result according to signal processing subsystem to dynamic response signal, sends early warning letter
Breath.The each Testing index of correspondence sets corresponding hidden danger threshold value, and signal processing subsystem is processed each Testing index and phase for obtaining
The hidden danger threshold value answered is compared, and when Testing index value meets or exceeds hidden danger threshold value, judges that the safety of hydraulic structure is hidden
Trouble has reached to a certain degree, is reported to the police by early warning subsystem, starts corresponding prediction scheme processing routine, repairs damage knot in time
Structure.
In a specific embodiment, using the Security Vulnerability Detecting System of hydraulic structure of the invention to ERTAN Hydroelectric ProJect
Cushion pool carries out potential safety hazard detection, realize flexible subserate portion come to nothing area's scope detection and structural deterioration detection, wherein：
Dynamic excitation source adopts power station flood discharge natural water, using water impact power station cushion pool so that cushion pool
Produce flow induced vibration and send dynamic response signal.
Optimizing the locations of the measuring points subsystem, using Immune Clone Selection and discrete particle cluster hybrid algorithm CSA-DPSO (A hybrid
intelligence algorithm of clonal selection algorithm and discrete particle
Swarm optimization) two fitness functions of optimization, calculate cushion pool floor point layout prioritization scheme.
Particle swarm optimization algorithm is in running, if certain particle is found that a current optimal location, other particles
To draw close to it rapidly, " aggregation " phenomenon occur, cause the reduction of population diversity.If the optimal location for currently being found is
Local best points, population just cannot be re-searched in solution space, and algorithm is absorbed in local optimum, Premature convergence occur.
For the particularity of sensor space preferred arrangement problem, as shown in figure 3, the present invention proposes a kind of new Immune Clone Selection and discrete
Particle Swarm Mixed Algorithm, and the transposition operator in genetic algorithm and shift operator are introduced into as the high frequency change in clonal selection algorithm
Exclusive-OR operator, can effectively be combined the Fast Convergent performance of particle cluster algorithm with the Local Search characteristic of clonal selection algorithm, be made
It has higher global optimizing ability.
Signals collecting subsystem, lays DP type earthquake type low-frequency vibration sensors, and measuring point is shown in Table with Choice of Sensors statistics
1.As shown in figure 4, measuring point A32 is located at the vault subsidence of 4# tables hole, elevation 1204.8m, measuring point A31 is located at 2# mesopore headstock gears upstream
At wall, elevation 1136m, cushion pool surface 1#～12# measuring points (A1-A12) elevation is 980m, and remaining measuring point elevation is
976.5m.12, cushion pool surface measuring point is located at cushion pool along riverbed axis, 22#～30# measuring points (A22-A30) cloth successively
It is placed in the gallery of cushion pool right side, 13#～19# measuring points (A13-A19) are arranged in the gallery of cushion pool left side, 20#～21# measuring points
(A20-A21) it is arranged in cushion pool left side side slope gallery.Using the vibration signal of above sensor acquisition cushion pool different measuring points.
Each sensor and corresponding signal cable, optical fiber etc. are through water-proofing treatment.
Table 1
According to existing testing data, the main energetic collection of fluctuating pressure and uplift force suffered by base plate block in cushion pool
In between 0～15Hz, therefore, in signal acquisition process, according to following experimental conditions gather three groups of vibration signals：
A, setting sample frequency fs=100Hz, corresponding sampling interval Δ t=0.01s, sample size N=4096, sampling
Time span T=40.96s；
B, setting sample frequency fs=50Hz, corresponding sampling interval Δ t=0.02Hz, sample size N=4096, sampling
Time span T=81.92s；
C, setting sample frequency fs=25Hz, corresponding sampling interval Δ t=0.04Hz, sample size N=4096, sampling
Time span T=162.84s.
Signal processing subsystem, is processed and is analyzed to the vibration signal of signals collecting subsystem collection, including：
(1) process is filtered to the original vibration signal of each sensor acquisition, including：
I, convolution filtering, computing formula is：
Wherein：xiFor the signal after filtered；xi-kFor the signal before filtering；I=0,1 ..., N；K=-n ,-n+1 ...,
0 ... n-1, n；gkFor filter factor, N is positive integer.
II, high-pass filtering are removing low-frequency noise；
Because DP type earthquake type low-frequency vibration sensors are 0.35Hz by the lower bound of frequency, should be possible below frequency
Much noise is mixed into, and for the large-scale hydraulic building of the obvious plunge pool floor of characteristics of low-frequency etc, low-frequency noise
Energy can not be ignored, therefore set high-pass filtering by frequency as 0.348Hz.
(2) to the vibration signal after Filtering Processing, processed and analyzed from amplitude domain, time domain and frequency domain angle, specifically
Including：
I, amplitude domain analysiss
1. average：
Wherein, x (t) represents the vibration signal of t, and T represents the signals collecting time.
2. variance：
3. probability-distribution function：F (x) is defined as the cumulative probability that stochastic variable is not more than constant value P, is expressed as：
F(xk)=P (x≤xk) (4)
Wherein, x represents the vibration displacement at a certain moment, xkRepresent k moment displacements.
4. probability density function f (x)：
F (x) falls the probability that is likely to occur in the range of increment Delta x and the ratio of increment Delta x for the instantaneous amplitude of stochastic variable,
It is expressed as：
The probability density function of normal distribution is：
Wherein, μ, σ are the average and standard deviation of normal distribution.
The vibration signal of the cushion pool after to Filtering Processing carries out amplitude domain analysiss, can obtain, and plunge pool floor is normal
The amplitude root-mean-square scope of vibration is located within 0～12.38 μm, and double amplitude range is within 0～81.22 μm.With reference to other
Engineering and model experience, the every hidden danger threshold value of setting, including：
It is 0～20 μm to vibrate normal root-mean-square scope, and the root-mean-square scope of abnormal vibration is 20～60 μm, and is more than 60
μm it is attributed to dangerous situation state；
Deviation factor CSNormal condition between -0.5～+0.5,
Coefficient of kurtosis CENormal condition about between 2～4,
Amplitude ratio coefficient lambda normal condition should be less than 1.5,
The normal range of the K values of peak swing value is between 2.44～4.00.
If above-mentioned deviation factor, coefficient of kurtosis, amplitude ratio coefficient, K values exceed corresponding normal range, plunge pool floor fortune
Row is i.e. in abnormality or dangerous situation state.
Thus, according to the vibration signal of collection, after filtered process, its amplitude domain analysis result belongs to above-mentioned abnormal or dangerous
During situation state, that is, enabling early warning subsystem carries out early warning.
II, time-domain analyses
1. auto-correlation function Rx(τ)
The auto-correlation function R of definition signal x (t)x(τ) it is：
Auto-correlation function is the periodic function of τ, and the cycle is T, when the integral multiple of τ=0 or T, Rx(τ) maximum is reached.
2. cross-correlation function
Define the cross-correlation function R of two stochastic signals x (t) and y (t)xy(τ) it is：
Wherein, τ is the time difference of two vibration signals.
Time-domain analyses are carried out according to the vibration signal to cushion pool, time domain index result is carried out with corresponding hidden danger threshold value
Relatively, if time domain index is reached or more than corresponding hidden danger threshold value, starting early warning subsystem carries out early warning.
III, frequency-domain analysiss
1. Fourier transform
Direct transform：
Inverse transformation：
To improve arithmetic speed, fast fourier transform method (FFT) is usually used, but now resulting frequency spectrum is not
Continuous curve, with certain frequency resolution Δ f, and Δ f=SF/N, wherein, SF is signal sampling frequencies, and N is FFT point
Analysis points (being often 1024 points).Due to the presence of frequency resolution, and time-domain signal is the reasons such as finite length, makes FFT point
Analysis result has the possibility revealed, and eliminates using the method such as smooth, adding window, energy correction, refinement analysis and reveals.
2. Power spectral density
The auto-correlation function of stationary random signal x (t) is Rx, and R (τ)x(τ → ∞)=0, then define its Fourier transformation
For the Power spectral density of x (t), and it is designated as Sx(f), i.e.,：
Frequency-domain analysiss are carried out according to the vibration signal to cushion pool, frequency-domain index result is carried out with corresponding hidden danger threshold value
Relatively, if frequency-domain index is reached or more than corresponding hidden danger threshold value, starting early warning subsystem carries out early warning.
The above is presently preferred embodiments of the present invention and its know-why used, for those skilled in the art
For, without departing from the spirit and scope of the present invention, it is any based on technical solution of the present invention on the basis of equivalent change
Change, simply replacement etc. obviously changes, belong within the scope of the present invention.
Claims (8)
1. the Security Vulnerability Detecting System of hydraulic structure, it is characterised in that including dynamic excitation source, optimizing the locations of the measuring points subsystem
System, signals collecting subsystem, signal processing subsystem, early warning subsystem,
Dynamic excitation source, for carrying out dynamic excitation to hydraulic structure, makes hydraulic structure produce vibration and sends power sound
Induction signal；
Optimizing the locations of the measuring points subsystem, for according to the concrete structure of hydraulic structure, obtaining for sensing dynamic response signal
Each sensor optimum combination and installation position；
Signals collecting subsystem, gathers the dynamic response signal that each sensor laid is sensed；
Signal processing subsystem, for the dynamic response signal that each sensor is sensed to be processed, analyzed；
Early warning subsystem, for result of the basis to dynamic response signal, sends early warning information.
2. the Security Vulnerability Detecting System of hydraulic structure according to claim 1, it is characterised in that the dynamic exciting
Source is the one kind in environmental excitation, artificial excitation, electromagnetic wave, ultrasound wave, radar, seismic wave or several combinations.
3. the Security Vulnerability Detecting System of hydraulic structure according to claim 1, it is characterised in that the measuring point optimization
Arrangement subsystem is based on Fisher information matrix, comentropy, mutual information, mode energy, model reduction, controllable/ornamental, structure
Identification probability, using Non-Linear Programming, serial method, random class, Immune Clone Selection and discrete particle cluster hybrid algorithm each sensing is calculated
The optimum combination and installation position of device.
4. the Security Vulnerability Detecting System of hydraulic structure according to claim 1, it is characterised in that each sensor
Including acceleration transducer, velocity sensor, displacement transducer, sonic sensor, the signal output part Jing of each sensor is corresponding
Signal cable, optical fiber be connected with the signal input part of the signal processing subsystem, by sensing signal transmission to institute
State signal processing subsystem.
5. the Security Vulnerability Detecting System of hydraulic structure according to claim 1, it is characterised in that the signal processing
Subsystem includes to the process that dynamic response signal is processed：Dynamic response signal to gathering carries out noise reduction process, extracts
Go out effective dynamic response signal；Modal Parameter Identification is carried out to effective dynamic response signal；Extract and built for identifying water conservancy project
The characteristic quantity of thing sensitive structure is built as Testing index.
6. the Security Vulnerability Detecting System of hydraulic structure according to claim 5, it is characterised in that the Testing index
Including：Frequency-domain index, time domain index, time-frequency domain index, mode targets, according to the situation of change of each index, judge waterwork
The health status of the diverse location of thing structure, hidden trouble scope, structural damage degree.
7. the Security Vulnerability Detecting System of hydraulic structure according to claim 6, it is characterised in that each detection of correspondence refers to
The corresponding hidden danger threshold value of mark setting, each Testing index value that signal processing subsystem process is obtained and corresponding hidden danger threshold
Value is compared, and when Testing index value meets or exceeds hidden danger threshold value, the potential safety hazard for judging hydraulic structure has reached one
Determine degree, reported to the police by the early warning subsystem.
8. the Security Vulnerability Detecting System of hydraulic structure according to claim 6, it is characterised in that to ERTAN Hydroelectric ProJect
Cushion pool carries out potential safety hazard detection, wherein：Using power station flood discharge natural water as dynamic excitation source, in 4# tables hole arch crown
Liang Chu lays A32 sensors, and elevation 1204.8m lays A31 sensors, elevation at the wall of 2# mesopore headstock gears upstream
A1～A12 sensors are laid on 1136m, cushion pool surface along riverbed axis, and elevation is 980m, in the gallery of cushion pool right side according to
Secondary laying A22-A30 sensors, lay successively A13-A19 sensors, cushion pool left side side slope gallery in the gallery of cushion pool left side
A20-A21 sensors are laid, the vibration signal of each sensor acquisition cushion pool different measuring points using more than, to the vibration letter for gathering
Number carry out amplitude domain to process and analysis, frequency domain process and analysis, Time Domain Processing and analysis, by signal processing results and default phase
The threshold value of warning answered is compared, if signal processing results are reached or more than corresponding threshold value of warning, starts early warning subsystem and enters
Row early warning.
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