CN110514861A - It is a kind of to utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum - Google Patents

It is a kind of to utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum Download PDF

Info

Publication number
CN110514861A
CN110514861A CN201910760665.5A CN201910760665A CN110514861A CN 110514861 A CN110514861 A CN 110514861A CN 201910760665 A CN201910760665 A CN 201910760665A CN 110514861 A CN110514861 A CN 110514861A
Authority
CN
China
Prior art keywords
peak
speed
speed rail
frequency
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910760665.5A
Other languages
Chinese (zh)
Other versions
CN110514861B (en
Inventor
王晓凯
陈文超
师振盛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Jiaotong University
Original Assignee
Xian Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Jiaotong University filed Critical Xian Jiaotong University
Priority to CN201910760665.5A priority Critical patent/CN110514861B/en
Publication of CN110514861A publication Critical patent/CN110514861A/en
Application granted granted Critical
Publication of CN110514861B publication Critical patent/CN110514861B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P3/00Measuring linear or angular speed; Measuring differences of linear or angular speeds
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30Analysis
    • G01V1/303Analysis for determining velocity profiles or travel times

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Train Traffic Observation, Control, And Security (AREA)

Abstract

The autocorrelative high-speed rail speed of service estimation method of amplitude spectrum is utilized the invention discloses a kind of, the signal excited when high-speed rail is passed through is intercepted in single detector seismic data;Fourier transformation is done to the signal of interception, obtains its amplitude spectrum;The energy spectrum cumulative function for calculating the signal of previous step interception, determines energy frequency section;Calculate the auto-correlation function of signal amplitude spectrum;Peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, and then obtain the frequency interval between peak-peak and the second peak value;Using the frequency interval and the single car length of high-speed rail train between peak-peak and the second peak value, the estimation of high-speed rail train running speed is obtained.

Description

It is a kind of to utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum
Technical field
The invention belongs to exploration geophysics fields, in particular to a kind of to utilize the autocorrelative high-speed rail speed of service of amplitude spectrum Estimation method.
Background technique
So far, Chinese high-speed rail revenue kilometres are up to 3.1 ten thousand kilometers, close to the 70% of the total revenue kilometres of world's high-speed rail. From when 10 days zero July in 2019, china railway implements new route map of train, and starting motor train unit train daily is more than 3000 pairs. High-speed rail train high-speed cruising is on high-speed rail route, and the speed of service is the important parameter for not reflecting train operating safety still, together When be also key that later use high-speed rail train causes vibration signal.The method for obtaining high-speed rail train running speed existing at present Mainly include:
The prior art 1: train running speed is obtained using mobile unit, i.e., can directly be obtained using the tachometer on train Train running speed is obtained, but can not determine speed of train when through some position.In addition, the GPS that high-speed rail train carries is set It is standby to can provide train speed and train real time position.Equipment needed for the above method is respectively mounted ON TRAINS, it is therefore desirable to The license of high-speed rail department.
The prior art 2: installing the equipment such as video, optics and radar in high-speed rail route isolated area, and common outside is tested the speed System and method have the velocity estimation system based on video camera, the train speed based on optical sensor or two shock sensors Estimation method utilizes the radar velocity measurement method of Doppler effect and speed estimation method based on wheel count etc..Above-mentioned side Method needs are mounted on the position it can be seen that rail, need to enter isolated area and install the license of equipment in isolated area.
The prior art 3: the method based on amplitude spectrum template matching, i.e., the embedding earthquake inspection outside high-speed rail route isolated area Then wave device receives the amplitude spectrum of signal using wave detector and a series of preset amplitude spectrum templates does cross-correlation coefficient, choosing Estimation of the corresponding speed of maximum cross-correlation function as train running speed is selected, the method needs a large amount of amplitude spectrum template letter Number, while velocity scanning process, operand are big twice for needs.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of using amplitude Autocorrelative high-speed rail speed of service estimation method is composed, the collected earthquake number of the outer single detector of high-speed rail route isolated area is used only According to estimating train running speed using the amplitude spectrum auto-correlation for collecting data, provided for subsequent judgement train operation state Data.
The invention adopts the following technical scheme:
It is a kind of to utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, comprising the following steps:
S1, the signal excited when high-speed rail is passed through is intercepted in single detector seismic data;
S2, Fourier transformation is done to the signal of interception, obtains its amplitude spectrum;
S3, the energy spectrum cumulative function for calculating step S2 intercept signal, determine energy frequency section;
S4, the auto-correlation function for calculating signal amplitude spectrum;
S5, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, and then obtain maximum peak Frequency interval between value and the second peak value;
S6, the frequency interval and the single car length of high-speed rail train between peak-peak and the second peak value, acquisition height are utilized The estimated value v of iron train running speedfinal
Specifically, in step S2, it is assumed that the caused signal of the high-speed rail operation intercepted out is y (t), is in Fu to the signal Leaf transformation obtains its amplitude spectrum | Y (ω) | are as follows:
Wherein, [t1, t2] it is time range corresponding to the useful signal of wave detector acquisition, y (t) is the high-speed rail intercepted out The caused signal of operation, j is that imaginary unit ω is frequency, and t is speed.
Specifically, step S3 specifically:
The gross energy E of intercept signal is obtained firsty, then calculate intercept signal upper frequency range, to amplitude square by The zero of frequency starts to add up, until accumulated value and gross energy EyRatio be higher than setting retention rate η1, corresponding frequency is frequency Rate upper bound ωmax;It when obtaining lower frequency border, adds up by upper frequency range, until accumulated value and gross energy EyRatio be higher than The retention rate η of setting2, corresponding frequency is lower frequency border ω at this timemin, the frequency separation where determining 95% energy is [ωmin, ωmax]。
Further, the signal gross energy E of interceptionyAre as follows:
Upper frequency range ωmaxAre as follows:
Lower frequency border ωminAre as follows:
Specifically, in step S4, in frequency separation [ωmin, ωmax] in range, calculate signal amplitude spectrum | Y (ω) | from Correlation function Corr (u) are as follows:
Wherein, the value range of auto-correlation function Corr (u) is [0,1].
Specifically, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function in step S5, Obtain the frequency interval u between peak-peak and the second peak valueinterval
Specifically, in step S6, high-speed rail train running speed vfinalAre as follows:
vfinal=Luinterval
Wherein, L is the length of single-unit high-speed rail compartment, uintervalBetween frequency between peak-peak and the second peak value Every.
Compared with prior art, the present invention at least has the advantages that
The present invention be using amplitude spectrum auto-correlation carry out the estimation of the high-speed rail speed of service a kind of method, merely with one every The estimation of high-speed rail train running speed can be realized in geophone data outside from area.The present invention calculates wave detector first and is connect The signal amplitude spectrum that the high-speed rail train operation received is excited, then calculates the auto-correlation function of the amplitude spectrum, then using certainly The frequency interval between peak-peak and the second largest peak value in correlation function finally estimates high-speed rail train using the frequency interval The speed of service.It is compared to conventional high-speed rail train speed estimation method, present invention depends only upon the earthquake inspections outside isolated area Wave device data are the speed of service for being convenient to obtain high-speed rail train.
Further, the signal excited when high-speed rail is passed through is intercepted in single detector seismic data, and it is every to be conducive to estimation The speed by wave detector train is plowed, while advantageously reducing the operand of subsequent calculated amplitude spectrum.
Further, the energy spectrum cumulative function of the signal of interception and determining energy frequency section, advantageously reduce participation The frequency range that cross-correlation function calculates, while being conducive to the noise immunity of improvement method.
Further, the auto-correlation function for calculating signal amplitude spectrum, is conducive to subsequent determining peak-peak and the second peak value Interval;.
Further, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, and then are obtained Frequency interval between peak-peak and the second peak value can get variation the closest in train running speed and signal spectrum Amount.
Further, using the frequency interval and the single car length of high-speed rail train between peak-peak and the second peak value, The estimation for obtaining high-speed rail train running speed, help to obtain the accurate estimation of high-speed rail train running speed.
In conclusion the present invention can effectively and quickly realize the high-speed rail train merely with a geophone data Speed of service estimation, used method are that calculated amplitude composes auto-correlation function, have the characteristics that high reliablity, while being detection High-speed rail train running speed provides a method independently of equipment in vehicle-mounted/isolated area.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Fig. 1 is flow chart of the present invention;
Fig. 2 is one of high-speed rail focus seismic signal that single detector receives when train 1 passes through;
Fig. 3 is the amplitude spectrum for one of high-speed rail focus seismic signal that single detector receives when train 1 passes through;
Fig. 4 is the auto-correlation function of the spectrum of signal amplitude shown in Fig. 3.
Specific embodiment
Autocorrelative high-speed rail speed of service estimation method is composed using signal amplitude the present invention provides a kind of, merely with one The estimation of high-speed rail train running speed can be realized in geophone data outside isolated area.Wave detector is calculated first to be received To high-speed rail train operation excited signal amplitude spectrum, then calculate the auto-correlation function of the amplitude spectrum, then use from phase The peak-peak in function and the frequency interval between the second largest peak value are closed, is finally transported using frequency interval estimation high-speed rail train Scanning frequency degree.It is compared to conventional high-speed rail train speed estimation method, present invention depends only upon a seismic detections outside isolated area Device data are the speed of service for being convenient to obtain high-speed rail train.
Referring to Fig. 1, the present invention is a kind of using the autocorrelative high-speed rail speed of service estimation method of signal amplitude spectrum, including with Lower step:
S1, the signal excited when high-speed rail is passed through is intercepted in single detector seismic data;
The embedding detector outside high-speed rail route isolated area is intercepted from the signal that wave detector receives high when high-speed rail is passed through The signal excited when iron passes through, time range corresponding to the useful signal of acquisition are [t1, t2]。
S2, Fourier transformation is done to the signal of interception, obtains its amplitude spectrum;
Assuming that signal caused by the high-speed rail operation intercepted out is y (t), Fourier transformation is done to the signal, obtains its vibration Width spectrum | Y (ω) | are as follows:
S3, the cumulative function for calculating this signal energy spectrum determine the frequency separation where its most of energy;
The gross energy E of the signal is obtained firsty:
Then the upper frequency range for calculating the signal, to square adding up by the zero of frequency for amplitude, until accumulated value With gross energy EyRatio be higher than setting retention rate η1, corresponding frequency is required upper frequency range ω at this timemax:
Similarly, it when obtaining lower frequency border, can add up by upper frequency range, until accumulated value and gross energy EyRatio Value is higher than the retention rate η of setting2, corresponding frequency is required lower frequency border ω at this timemin:
By η1And η2It is set to 0.975 and 0.95, the frequency separation where thereby determining that 95% energy is [ωmin, ωmax]。
S4, the auto-correlation function for calculating signal amplitude spectrum;
In frequency separation [ωmin, ωmax] in range, calculate signal amplitude spectrum | Y (ω) | auto-correlation function Corr (u) Are as follows:
The value range of the auto-correlation function is between [0,1].
S5, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, and then obtain maximum peak Frequency interval between value and the second peak value;
According to the characteristic of auto-correlation function, the position of peak-peak is sought in auto-correlation function generally in zero frequency The second peak value is looked for, recording its position is uinterval, then the frequency interval between peak-peak and the second peak value is uinterval
S6, the frequency interval u between peak-peak and the second peak value is utilizedintervalAnd the single car length of high-speed rail train, Obtain the estimation v of high-speed rail train running speedfinal
High-speed rail compartment be usually L meters (Chinese high-speed rail compartment length is usually 25 meters) and peak-peak with Frequency interval u between second peak valueintervalIt can estimate high-speed rail train running speed vfinal:
vfinal=Luinterval (6)
Wherein, L is the length of single-unit high-speed rail compartment, and unit is rice.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.The present invention being described and shown in usually here in attached drawing is real The component for applying example can be arranged and be designed by a variety of different configurations.Therefore, below to the present invention provided in the accompanying drawings The detailed description of embodiment be not intended to limit the range of claimed invention, but be merely representative of of the invention selected Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are obtained without creative efforts The every other embodiment obtained, shall fall within the protection scope of the present invention.
A kind of high-speed rail speed of service estimation method using velocity scanning of the present invention, away from high-speed rail route when being passed through with high-speed rail For signal received by the single low-frequency detector of 75m.
Table 1 is the high-speed rail train running speed estimated when 8 trains pass through using this method
Referring to Fig. 2, Fig. 2 is vibration letter caused by high-speed rail focus received by single detector when train 1 passes through Number, sampling interval 5ms shares 3001 sampled points.Fig. 3 and Fig. 4 are please referred to, Fig. 3 is caused vibration letter when train 1 passes through Number amplitude spectrum, Fig. 4 is the amplitude spectrum auto-correlation function obtained using Fig. 3, between available peak-peak and the second peak value Distance be 3.3396 hertz, when car length is 25 meters, the speed of service of available this train be 83.49 meter per seconds (i.e. 300.56 thousand ms/h).Data received by single detector are divided using this patent method when passing through to 8 trains Analysis, 8 times obtained train speed estimated values are as shown in table 1, coincide with the commercial operation speed of China's high-speed rail.
The above content is merely illustrative of the invention's technical idea, and this does not limit the scope of protection of the present invention, all to press According to technical idea proposed by the present invention, any changes made on the basis of the technical scheme each falls within claims of the present invention Protection scope within.

Claims (7)

1. a kind of utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which comprises the following steps:
S1, the signal excited when high-speed rail is passed through is intercepted in single detector seismic data;
S2, Fourier transformation is done to the signal of interception, obtains its amplitude spectrum;
S3, the energy spectrum cumulative function for calculating step S2 intercept signal, determine energy frequency section;
S4, the auto-correlation function for calculating signal amplitude spectrum;
S5, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, so obtain peak-peak with Frequency interval between second peak value;
S6, the frequency interval and the single car length of high-speed rail train between peak-peak and the second peak value, acquisition high-speed rail column are utilized The estimated value v of the vehicle speed of servicefinal
2. according to claim 1 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that step In rapid S2, it is assumed that the caused signal of the high-speed rail operation intercepted out is y (t), does Fourier transformation to the signal, obtains its amplitude Spectrum | Y (ω) | are as follows:
Wherein, [t1,t2] it is time range corresponding to the useful signal of wave detector acquisition, y (t) is the high-speed rail operation intercepted out Caused signal, j are that imaginary unit ω is frequency, and t is speed.
3. according to claim 1 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that step Rapid S3 specifically:
The gross energy E of intercept signal is obtained firsty, the upper frequency range of intercept signal is then calculated, to amplitude square by frequency Zero starts to add up, until accumulated value and gross energy EyRatio be higher than setting retention rate η1, corresponding frequency is upper frequency range ωmax;It when obtaining lower frequency border, adds up by upper frequency range, until accumulated value and gross energy EyRatio be higher than setting Retention rate η2, corresponding frequency is lower frequency border ω at this timemin, the frequency separation where determining 95% energy is [ωmin, ωmax]。
4. according to claim 3 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that cut The signal gross energy E takenyAre as follows:
Upper frequency range ωmaxAre as follows:
Lower frequency border ωminAre as follows:
5. according to claim 1 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that step In rapid S4, in frequency separation [ωminmax] in range, calculate signal amplitude spectrum | Y (ω) | auto-correlation function Corr (u) Are as follows:
Wherein, the value range of auto-correlation function Corr (u) is [0,1].
6. according to claim 1 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that step In rapid S5, peak-peak, the second peak value and its corresponding frequency are found in auto-correlation function, obtain peak-peak and second Frequency interval u between peak valueinterval
7. according to claim 1 utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum, which is characterized in that step In rapid S6, high-speed rail train running speed vfinalAre as follows:
vfinal=Luinterval
Wherein, L is the length of single-unit high-speed rail compartment, uintervalFor the frequency interval between peak-peak and the second peak value.
CN201910760665.5A 2019-08-16 2019-08-16 High-speed rail running speed estimation method utilizing amplitude spectrum autocorrelation Active CN110514861B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910760665.5A CN110514861B (en) 2019-08-16 2019-08-16 High-speed rail running speed estimation method utilizing amplitude spectrum autocorrelation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910760665.5A CN110514861B (en) 2019-08-16 2019-08-16 High-speed rail running speed estimation method utilizing amplitude spectrum autocorrelation

Publications (2)

Publication Number Publication Date
CN110514861A true CN110514861A (en) 2019-11-29
CN110514861B CN110514861B (en) 2020-07-28

Family

ID=68626335

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910760665.5A Active CN110514861B (en) 2019-08-16 2019-08-16 High-speed rail running speed estimation method utilizing amplitude spectrum autocorrelation

Country Status (1)

Country Link
CN (1) CN110514861B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113341175A (en) * 2021-06-04 2021-09-03 西安交通大学 High-speed rail running acceleration estimation method and system based on single detector
CN113771917A (en) * 2021-09-30 2021-12-10 西南交通大学 Train running speed determination method based on roadbed dynamic stress time-course signal

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101738497A (en) * 2009-12-24 2010-06-16 中国铁道科学研究院机车车辆研究所 Method and device for analyzing acceleration response of rail vehicles
CN102682765A (en) * 2012-04-27 2012-09-19 中咨泰克交通工程集团有限公司 Expressway audio vehicle detection device and method thereof
JP2014126523A (en) * 2012-12-27 2014-07-07 Oki Electric Ind Co Ltd Speed calculation device, speed calculation method, and program
CN104568444A (en) * 2015-01-28 2015-04-29 北京邮电大学 Method for extracting fault characteristic frequencies of train rolling bearings with variable rotational speeds
CN108139422A (en) * 2015-08-10 2018-06-08 尼拉动力公司 Velocity estimation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101738497A (en) * 2009-12-24 2010-06-16 中国铁道科学研究院机车车辆研究所 Method and device for analyzing acceleration response of rail vehicles
CN102682765A (en) * 2012-04-27 2012-09-19 中咨泰克交通工程集团有限公司 Expressway audio vehicle detection device and method thereof
JP2014126523A (en) * 2012-12-27 2014-07-07 Oki Electric Ind Co Ltd Speed calculation device, speed calculation method, and program
CN104568444A (en) * 2015-01-28 2015-04-29 北京邮电大学 Method for extracting fault characteristic frequencies of train rolling bearings with variable rotational speeds
CN108139422A (en) * 2015-08-10 2018-06-08 尼拉动力公司 Velocity estimation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
胡姝玲 等: "基于激光多普勒测速雷达自相关检测算法研究", 《半导体光电》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113341175A (en) * 2021-06-04 2021-09-03 西安交通大学 High-speed rail running acceleration estimation method and system based on single detector
CN113341175B (en) * 2021-06-04 2022-10-25 西安交通大学 High-speed rail running acceleration estimation method and system based on single detector
CN113771917A (en) * 2021-09-30 2021-12-10 西南交通大学 Train running speed determination method based on roadbed dynamic stress time-course signal

Also Published As

Publication number Publication date
CN110514861B (en) 2020-07-28

Similar Documents

Publication Publication Date Title
CN106297770B (en) The natural environment sound identification method extracted based on time-frequency domain statistical nature
CN107256635B (en) Vehicle identification method based on distributed optical fiber sensing in intelligent traffic
CN101819286B (en) Image grey level histogram-based foggy day detection method
Lindveld et al. Evaluation of online travel time estimators and predictors
CN100533151C (en) Method for measuring traffic flow average rate using video
CN101359057B (en) Method for detecting gas reservoir by Attenuation information of centre frequency following variation of angle of incidence
CN101266717A (en) A car detection recognition system and method based on MEMS sensor
CN110514861A (en) It is a kind of to utilize the autocorrelative high-speed rail speed of service estimation method of amplitude spectrum
US9842438B1 (en) Mileage and speed estimation
CN111127906B (en) Intelligent road surface management system and method based on Internet of things
CN206249557U (en) Based on the vehicle detecting system that Magnetic Sensor and ultrasonic sensor are merged
CN111582160A (en) Vehicle track extraction method and device based on distributed optical fiber sensing system
López-Valcarce et al. Estimation of road vehicle speed using two omnidirectional microphones: A maximum likelihood approach
CN110285877A (en) Train real time location tracking and speed calculation method based on Spark Streaming
CN110967401A (en) Method suitable for evaluating driving comfort of highway asphalt pavement
CN110514862A (en) A kind of high-speed rail speed of service estimation method using velocity scanning
CN107167559A (en) A kind of method that beam type bridge structure damage reason location is carried out using dual sensor
CN107331160B (en) Method and apparatus based on single geomagnetic sensor measurement car speed
CN109696609A (en) A kind of acquisition methods and its acquisition system of novel bow net current carrying quality
CN110310491A (en) A kind of short spacing binode earth magnetism vehicle speed detection system and detection method
CN103456178A (en) Road vehicle speed measuring system
CN106404159B (en) A kind of determining method of Rocket sled test continuous shaking transmitting spectrum
CN104199087A (en) Method and device for inverting sea water depth by use of data of underwater detector and land detector
CN102749136A (en) Method for determining noise equivalent frequency of motor vehicle
KR100378956B1 (en) Acoustical Vehicle Detection System

Legal Events

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