CN104120644A - Gravitational acceleration sensor based road surface flatness detection method - Google Patents

Gravitational acceleration sensor based road surface flatness detection method Download PDF

Info

Publication number
CN104120644A
CN104120644A CN201310150517.4A CN201310150517A CN104120644A CN 104120644 A CN104120644 A CN 104120644A CN 201310150517 A CN201310150517 A CN 201310150517A CN 104120644 A CN104120644 A CN 104120644A
Authority
CN
China
Prior art keywords
spectral density
power spectral
model
fit
iri
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
CN201310150517.4A
Other languages
Chinese (zh)
Other versions
CN104120644B (en
Inventor
杜豫川
蒋盛川
孙立军
刘成龙
吴荻非
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.)
Shanghai Tongluyun Transportation Technology Co ltd
Original Assignee
Tongji 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 Tongji University filed Critical Tongji University
Priority to CN201310150517.4A priority Critical patent/CN104120644B/en
Publication of CN104120644A publication Critical patent/CN104120644A/en
Application granted granted Critical
Publication of CN104120644B publication Critical patent/CN104120644B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Length Measuring Devices With Unspecified Measuring Means (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention relates to a gravitational acceleration sensor based road surface flatness detection method which comprises the following steps: determining the detection vehicle speed, a gravitational acceleration sensor and a sampling frequency; using different models of test vehicles to run on roads with different road surface flatness to obtain gravitational acceleration values of the gravitational acceleration sensor; performing Fourier transform on the collected gravitational acceleration values to obtain power spectral density; establishing a fitting model of the power spectral density of same model of test vehicles and IRI (international roughness index); performing general applicability tests on the fitting model of the same model of test vehicles to obtain a fitting model of the power spectral density of the different models of test vehicles and the IRI; performing general applicability tests on the fitting model of the power spectral density of the different models of test vehicles and the IRI; and according to a universal fitting model and the collected gravitational acceleration values, performing road surface flatness detection. Compared with the prior art, the road surface flatness detection method based on the gravitational acceleration values can solve the problems that a laser flatness detection vehicle in the prior art is expensive and is complicated in detection process.

Description

A kind of detection method of road-surface evenness based on Gravity accelerometer
Technical field
The present invention relates to a kind of detection method, especially relate to a kind of detection method of road-surface evenness based on Gravity accelerometer.
Background technology
In highway construction tremendous growth, highway maintenance and management are also increasingly important.2010, the medium-capital overhauling maintenance speed of China's speedway surpassed construction speed, and domestic large quantities of standard highways also will enter medium-capital overhauling curing time, and the work of highway road conservation and management faces unprecedented challenge.Now, provide scientific and reasonable Pavement Performance detection means most important.
At present, aspect evaluation pavement performance index, international roughness index (international roughness index) is one of most widely used index.IRI calculates with 1/4 vehicle model in the World Bank, and this car travels on road surface with the speed of regulation, calculates the accumulation displacement of suspension in certain operating range as IRI.
IRI can obtain by widely used apparatus measures (as level gauge or RTRRMS instrument), and result has validity and transferability, but level gauge etc. need to manually complete, to measure its efficiency very low.At present, generally adopt road laser evenness test carriage to carry out international roughness index detection both at home and abroad, but it is expensive and detection operation is loaded down with trivial details, is unfavorable for the detection surface evenness situation of timing property, thereby can not referential suggestion is provided to timely maintenance of surface and administrative department.
Summary of the invention
Object of the present invention is exactly to provide a kind of detection method of road-surface evenness based on Gravity accelerometer in order to overcome the defect that above-mentioned prior art exists, expensive and detect the loaded down with trivial details problem of operation for solving current laser evenness inspection vehicle.
Object of the present invention can be achieved through the following technical solutions:
A detection method of road-surface evenness based on Gravity accelerometer, comprises the following steps:
(1) determine and detect the speed of a motor vehicle, Gravity accelerometer and sample frequency thereof;
(2) adopt the testing vehicle of different automobile types at different surface evenness road drivings, obtain the gravity acceleration value of Gravity accelerometer;
(3) gravity acceleration value collecting is carried out to Fourier transformation, obtain power spectral density;
(4) set up the power spectral density of vehicle of the same race and the model of fit of IRI;
(5) model of fit of the power spectral density of different automobile types and IRI is carried out to general applicability check;
(6) eliminate different automobile types for the impact of model of fit, obtain the general model of fit of power spectral density and IRI;
(7) according to general model of fit and the gravity acceleration value that collects, carry out surface evenness detection.
Described Gravity accelerometer is 3-axis acceleration sensor.
Step (6) elimination different automobile types for the concrete grammar of the impact of model of fit is: the value of the mean power spectrum density while first calculating stationary vehicle, while then utilizing Vehicle Driving Cycle, the value of mean power spectrum density deducts the value of its mean power spectrum density when static, obtains the power spectral density in general model of fit.
Compared with prior art, the data of the different automobile types that the present invention gathers by Gravity accelerometer are carried out modeling analysis, eliminate the impact of test vehicle on model, set up versatility detection method and detection model, can solve current laser evenness inspection vehicle expensive and detect the loaded down with trivial details problem of operation.
Accompanying drawing explanation
Fig. 1 is flow chart of the present invention;
Fig. 2 is the model of fit of vehicle acceleration of gravity power spectral density of the same race and IRI
Fig. 3 is the model of fit of different automobile types acceleration of gravity power spectral density and IRI;
Fig. 4 is the general model of fit of gravity acceleration power spectral density and IRI.
The specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Embodiment
As shown in Figure 1, a kind of detection method of road-surface evenness based on Gravity accelerometer, comprises the following steps:
(1) determine and detect the speed of a motor vehicle, and selected Gravity accelerometer and sample frequency thereof;
(2) adopt the testing vehicle of different automobile types at different surface evenness road drivings, in form process, obtain the gravity acceleration value of Gravity accelerometer.In the process of driving, this unevenness on road surface can evoke the vibration of automobile, the vibration of automobile must produce the normal acceleration pitching, be the acceleration of gravity of Z axis, the size of the automobile bumpiness of the size reaction of its Z axis acceleration of gravity, thus indirectly reflect the situation of pavement roughness.Gravity accelerometer choose and required sample frequency really to fix on surface evenness very important in detecting, according to actual needs, choose Gravity accelerometer range for ± 10g, precision is 0.001g, selected sample frequency is 10Hz.
Ordinary Rd out-of-flatness longitudinally will be much larger than its horizontal out-of-flatness, and toppling and rotating and can not ignore of longitudinal direction of car, thinks that road edge is laterally smooth but can be similar to, and can suppose that left and right vehicle wheel is symmetrical.In addition, for-wheel vehicle accounts for the great majority of driving vehicle on highway, therefore, should using for-wheel vehicle as representative vehicle, due to symmetrical desirable its half as research object, use for reference 1/4 auto model principle, Gravity accelerometer is placed in to rear axle top.
According to the analysis to vibration equation, along with the increase of the speed of a motor vehicle, root mean square of weighed acceleration is increasing, but speedup is reducing, and therefore, selects the design speed of each standard highway or urban road, as the test speed of a motor vehicle.
Choose the road of representative different surface evenness, precision level or laser evenness car actual measurement surface evenness index IRI.On representative road, utilize the for-wheel vehicle of different automobile types to travel with design speed, gather Z axis gravity acceleration value.
(3) gravity acceleration value collecting is carried out to Fourier transformation, obtain power spectral density.
Power spectral density is the statistics of structure response under random dynamic loads excitation, be the relation curve of power spectral density value one frequency values, wherein power spectral density can be the forms such as acceleration power spectral density, displacement power spectral density, speed-power spectrum density, activity of force spectrum density.
In car steering process, road out-of-flatness meeting causes the vibrations of vehicle, in the middle of vertical tremor each time, gravity does work along vertical direction always, energy-producing variation, and power spectral density is only relevant with the amplitude spectrum of signal, irrelevant with phase spectrum, amplitude information that can picked up signal, therefore can express the distribution of surface evenness energy on spatial frequency domain by power spectral density function, and it depicts the structure of surface evenness.
From power spectral density function, not only can understand road surface wave structure, can also reflect the general characteristic on road surface, the place of power spectral density vary within wide limits represents that the road out-of-flatness of this position is all the more obvious, and the quality of road is low.But, each realization of signal random process is uncertain, the power spectral density of a certain realization can not be as the power spectral density of process, random process power spectral density is regarded the statistical average of the power spectral density of each realization as, obtain the mean power spectrum density of one section of road, as the irregular indirect performance of road in the driving process of this road, thus the specific features of reflection road.
Rely on matlab software, to each representative road, measured to driving vehicle, the numerical value of the acceleration in numerical value direction carries out obtaining mean power spectrum density after above-mentioned Fourier transformation.
(4) power spectral density and the IRI that choose vehicle of the same race carry out Fitting Analysis, set up the power spectral density of vehicle of the same race and the model of fit of IRI;
(5) model of fit of the power spectral density of different automobile types and IRI is carried out to general applicability check;
(6) owing to selecting the model of two kinds of vehicles that vehicle gap is larger to compare, for different vehicles, although the form of its function is very close, but need in use the parameter of function to demarcate, therefore do not there is good versatility, so eliminate different automobile types for the impact of model of fit, obtain the general model of fit of power spectral density and IRI.
What measure due to three axle Gravity accelerometers is the stack that vehicle self vibration and pavement roughness cause Vehicular vibration, therefore, the value of the mean power spectrum density while first calculating stationary vehicle, while then utilizing Vehicle Driving Cycle, the value of mean power spectrum density deducts the value of its power spectral density when static, power spectral density in general model of fit, represents the Vehicular vibration that pavement roughness causes.
(7) according to general model of fit and the gravity acceleration value that collects, carry out surface evenness detection.
Adopt the present invention to carry out planeness detection to the actual section within the scope of Shanghai Regional, choose 38, representational section, its roughness index is distributed between 1-10, urban road speed of operation is chosen as 40km/h, the road running speed of a motor vehicle is 60km/h or 80km/h according to its design speed, choosing Gravity accelerometer range is-± 10g, precision is 0.001g, selected sample frequency is 10Hz, select two sensors to eliminate after instrument error simultaneously, be fixed on rear axle top in car, come and go and measure three times, get the average of its acceleration of gravity.Test vehicle is selected buick excelle three-box car, and Ford Jiangling test carriage.
The Ford Jiangling test carriage of take is example, adopt matlab software, to each representative road, measured to driving vehicle, the numerical value of the acceleration in numerical value direction carries out obtaining mean power spectrum density after above-mentioned Fourier transformation, in Table 1, its power spectral density and IRI are carried out to Fitting Analysis, and Fig. 2 is shown in matched curve.
Acceleration of gravity power spectral density and the international roughness index model of two kinds of vehicles of difference matching, see Fig. 3, the form that can find its function from two model of fit also has very large approximation, but the impact due to vehicle, article two, curve could not well heavily be combined together, the value of the mean power spectrum density while therefore first calculating stationary vehicle, while then utilizing Vehicle Driving Cycle, the value of mean power spectrum density deducts the value of its power spectral density when static, sets up general model of fit between itself and IRI as shown in Figure 4.
Table 1
Then adopt two kinds of vehicles, the gravity acceleration value when measuring different representative sections and travelling, the general model of fit with Fig. 4, calculates its IRI value.The index of correlation of utilizing this kind of method to record IRI value and IRI actual value is 0.9642, can well meet the demand of actual measurement.
The above; be only the present invention's specific embodiment preferably, but protection scope of the present invention is not limited to this, is anyly familiar with in technical scope that those skilled in the art disclose in the present invention; the variation that can expect easily or replacement, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (3)

1. the detection method of road-surface evenness based on Gravity accelerometer, is characterized in that, comprises the following steps:
(1) determine and detect the speed of a motor vehicle, Gravity accelerometer and sample frequency thereof;
(2) adopt the testing vehicle of different automobile types at different surface evenness road drivings, obtain the gravity acceleration value of Gravity accelerometer;
(3) gravity acceleration value collecting is carried out to Fourier transformation, obtain power spectral density;
(4) set up the power spectral density of vehicle of the same race and the model of fit of IRI;
(5) model of fit of the power spectral density of different automobile types and IRI is carried out to general applicability check;
(6) eliminate different automobile types for the impact of model of fit, obtain the general model of fit of power spectral density and IRI;
(7) according to general model of fit and the gravity acceleration value that collects, carry out surface evenness detection.
2. a kind of detection method of road-surface evenness based on Gravity accelerometer according to claim 1, is characterized in that, described Gravity accelerometer is 3-axis acceleration sensor.
3. a kind of detection method of road-surface evenness based on Gravity accelerometer according to claim 1, it is characterized in that, step (6) elimination different automobile types for the concrete grammar of the impact of model of fit is: the value of the mean power spectrum density while first calculating stationary vehicle, while then utilizing Vehicle Driving Cycle, the value of mean power spectrum density deducts the value of its mean power spectrum density when static, obtains the power spectral density in general model of fit.
CN201310150517.4A 2013-04-26 2013-04-26 A kind of detection method of road-surface evenness based on Gravity accelerometer Active CN104120644B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310150517.4A CN104120644B (en) 2013-04-26 2013-04-26 A kind of detection method of road-surface evenness based on Gravity accelerometer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310150517.4A CN104120644B (en) 2013-04-26 2013-04-26 A kind of detection method of road-surface evenness based on Gravity accelerometer

Publications (2)

Publication Number Publication Date
CN104120644A true CN104120644A (en) 2014-10-29
CN104120644B CN104120644B (en) 2016-03-02

Family

ID=51766261

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310150517.4A Active CN104120644B (en) 2013-04-26 2013-04-26 A kind of detection method of road-surface evenness based on Gravity accelerometer

Country Status (1)

Country Link
CN (1) CN104120644B (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104790283A (en) * 2015-04-10 2015-07-22 同济大学 Quick road surface roughness detection system based on vehicle-mounted accelerometer
CN104792937A (en) * 2015-04-02 2015-07-22 同济大学 Bridge head bump detection evaluation method based on vehicle-mounted gravitational acceleration sensor
CN104864846A (en) * 2015-03-24 2015-08-26 江苏科技大学 Vehicle road surface waviness collection system based on acceleration sensor, and work method thereof
CN106840049A (en) * 2016-12-16 2017-06-13 东南大学 Pavement quality ranking method based on built-in three axles acceleration sensor smart mobile phone
CN107064010A (en) * 2016-12-15 2017-08-18 姜正晖 Soft clay area Road surface quality evaluation method
WO2017145069A1 (en) * 2016-02-22 2017-08-31 Tracker Connect (Pty) Limited Road monitoring method and system
CN108228994A (en) * 2017-12-27 2018-06-29 南京理工大学 The calculation method for stress of vehicle and equipment under cross-country road arbitrary excitation
CN108804814A (en) * 2018-06-08 2018-11-13 吉林大学 A method of extraction spectrum of road surface roughness parameter
CN109086508A (en) * 2018-07-24 2018-12-25 江苏大学 A kind of automobile emergency distress system threshold threshold value dynamic matching method
DE102018203071A1 (en) * 2018-03-01 2019-09-05 Ford Global Technologies, Llc Method for determining the International Roughness Index (IRI) of a roadway
CN110852542A (en) * 2018-08-21 2020-02-28 上海汽车集团股份有限公司 Road flatness calculation method and system
CN110930731A (en) * 2019-10-08 2020-03-27 南京理工大学 Intelligent transportation card and road surface detection system based on same
CN112595521A (en) * 2020-08-24 2021-04-02 中国汽车技术研究中心有限公司 Vehicle ride comfort simulation test method
CN112766306A (en) * 2020-12-26 2021-05-07 浙江天行健智能科技有限公司 Deceleration strip area identification method based on SVM algorithm
CN112985311A (en) * 2021-02-09 2021-06-18 上海同陆云交通科技有限公司 Vehicle-mounted portable lightweight intelligent inspection method and system
CN113026494A (en) * 2021-02-25 2021-06-25 武汉市市政建设集团有限公司 Prefabricated assembly type pavement construction quality detection method
CN113026495A (en) * 2021-03-05 2021-06-25 九峰海洋生态建设集团有限公司 Road maintenance method, system, storage medium and intelligent terminal
CN113191291A (en) * 2021-05-10 2021-07-30 南京金智视讯技术有限公司 Road flatness detection method based on motion camera
CN113434954A (en) * 2021-06-15 2021-09-24 同济大学 Calibration method of vibrating type pavement flatness test vehicle
CN114541222A (en) * 2022-02-17 2022-05-27 同济大学 Road network grade road surface evenness detection method based on multi-vehicle crowd-funded vibration data
CN114996654A (en) * 2022-04-28 2022-09-02 中国公路工程咨询集团有限公司 Road flatness detection method and device, electronic equipment and medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2548117Y (en) * 2002-06-17 2003-04-30 陆键 Response type road-surface planeness detector
KR20040042125A (en) * 2002-11-13 2004-05-20 자동차부품연구원 Road profiling system using non-contact and inertial method
CN1749048A (en) * 2005-10-14 2006-03-22 上海燃料电池汽车动力系统有限公司 Semiactive suspension awning damp control algorithm for vehicle speed and road inductive automobile
US20080184785A1 (en) * 2007-02-01 2008-08-07 Wee Seong-Dong Apparatus for automatically inspecting road surface pavement condition
JP2010066040A (en) * 2008-09-09 2010-03-25 Kitami Institute Of Technology Apparatus for measuring road surface flatness
CN102222141A (en) * 2011-06-10 2011-10-19 中国汽车工程研究院股份有限公司 Method for generation of typical road spectrum
CN103318180A (en) * 2013-05-28 2013-09-25 万向钱潮股份有限公司 Vehicular road surface irregularity automatic identification system and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2548117Y (en) * 2002-06-17 2003-04-30 陆键 Response type road-surface planeness detector
KR20040042125A (en) * 2002-11-13 2004-05-20 자동차부품연구원 Road profiling system using non-contact and inertial method
CN1749048A (en) * 2005-10-14 2006-03-22 上海燃料电池汽车动力系统有限公司 Semiactive suspension awning damp control algorithm for vehicle speed and road inductive automobile
US20080184785A1 (en) * 2007-02-01 2008-08-07 Wee Seong-Dong Apparatus for automatically inspecting road surface pavement condition
JP2010066040A (en) * 2008-09-09 2010-03-25 Kitami Institute Of Technology Apparatus for measuring road surface flatness
CN102222141A (en) * 2011-06-10 2011-10-19 中国汽车工程研究院股份有限公司 Method for generation of typical road spectrum
CN103318180A (en) * 2013-05-28 2013-09-25 万向钱潮股份有限公司 Vehicular road surface irregularity automatic identification system and method

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104864846A (en) * 2015-03-24 2015-08-26 江苏科技大学 Vehicle road surface waviness collection system based on acceleration sensor, and work method thereof
CN104792937A (en) * 2015-04-02 2015-07-22 同济大学 Bridge head bump detection evaluation method based on vehicle-mounted gravitational acceleration sensor
CN104790283A (en) * 2015-04-10 2015-07-22 同济大学 Quick road surface roughness detection system based on vehicle-mounted accelerometer
WO2017145069A1 (en) * 2016-02-22 2017-08-31 Tracker Connect (Pty) Limited Road monitoring method and system
US11054256B2 (en) 2016-02-22 2021-07-06 Tracker Connect (Pty) Limited Road monitoring method and system
CN107064010B (en) * 2016-12-15 2019-04-23 姜正晖 Soft clay area Road surface quality evaluation method
CN107064010A (en) * 2016-12-15 2017-08-18 姜正晖 Soft clay area Road surface quality evaluation method
CN106840049A (en) * 2016-12-16 2017-06-13 东南大学 Pavement quality ranking method based on built-in three axles acceleration sensor smart mobile phone
CN106840049B (en) * 2016-12-16 2019-02-05 东南大学 Pavement quality ranking method based on built-in three axis acceleration sensor smart phone
CN108228994A (en) * 2017-12-27 2018-06-29 南京理工大学 The calculation method for stress of vehicle and equipment under cross-country road arbitrary excitation
CN108228994B (en) * 2017-12-27 2021-06-11 南京理工大学 Stress calculation method for vehicle and working device under random excitation of off-road
DE102018203071A1 (en) * 2018-03-01 2019-09-05 Ford Global Technologies, Llc Method for determining the International Roughness Index (IRI) of a roadway
CN108804814B (en) * 2018-06-08 2020-05-15 吉林大学 Method for extracting road surface spectrum parameters
CN108804814A (en) * 2018-06-08 2018-11-13 吉林大学 A method of extraction spectrum of road surface roughness parameter
WO2020019883A1 (en) * 2018-07-24 2020-01-30 江苏大学 Method for dynamically configuring threshold value of emergency call system of car
CN109086508A (en) * 2018-07-24 2018-12-25 江苏大学 A kind of automobile emergency distress system threshold threshold value dynamic matching method
CN109086508B (en) * 2018-07-24 2022-05-17 江苏大学 Threshold value dynamic matching method for automobile emergency call system
CN110852542A (en) * 2018-08-21 2020-02-28 上海汽车集团股份有限公司 Road flatness calculation method and system
CN110852542B (en) * 2018-08-21 2023-06-30 上海汽车集团股份有限公司 Road flatness calculation method and system
CN110930731A (en) * 2019-10-08 2020-03-27 南京理工大学 Intelligent transportation card and road surface detection system based on same
CN112595521A (en) * 2020-08-24 2021-04-02 中国汽车技术研究中心有限公司 Vehicle ride comfort simulation test method
CN112595521B (en) * 2020-08-24 2022-12-09 中国汽车技术研究中心有限公司 Vehicle ride comfort simulation test method
CN112766306A (en) * 2020-12-26 2021-05-07 浙江天行健智能科技有限公司 Deceleration strip area identification method based on SVM algorithm
CN112766306B (en) * 2020-12-26 2023-06-27 浙江天行健智能科技有限公司 Deceleration strip area identification method based on SVM algorithm
CN112985311A (en) * 2021-02-09 2021-06-18 上海同陆云交通科技有限公司 Vehicle-mounted portable lightweight intelligent inspection method and system
CN113026494A (en) * 2021-02-25 2021-06-25 武汉市市政建设集团有限公司 Prefabricated assembly type pavement construction quality detection method
CN113026495A (en) * 2021-03-05 2021-06-25 九峰海洋生态建设集团有限公司 Road maintenance method, system, storage medium and intelligent terminal
CN113191291A (en) * 2021-05-10 2021-07-30 南京金智视讯技术有限公司 Road flatness detection method based on motion camera
CN113434954A (en) * 2021-06-15 2021-09-24 同济大学 Calibration method of vibrating type pavement flatness test vehicle
CN113434954B (en) * 2021-06-15 2022-09-20 同济大学 Calibration method of vibrating type pavement flatness test vehicle
CN114541222A (en) * 2022-02-17 2022-05-27 同济大学 Road network grade road surface evenness detection method based on multi-vehicle crowd-funded vibration data
CN114541222B (en) * 2022-02-17 2024-01-26 同济大学 Road network grade pavement flatness detection method based on multi-vehicle crowd funding vibration data
CN114996654A (en) * 2022-04-28 2022-09-02 中国公路工程咨询集团有限公司 Road flatness detection method and device, electronic equipment and medium
CN114996654B (en) * 2022-04-28 2023-05-09 中国公路工程咨询集团有限公司 Road surface flatness detection method and device, electronic equipment and medium

Also Published As

Publication number Publication date
CN104120644B (en) 2016-03-02

Similar Documents

Publication Publication Date Title
CN104120644B (en) A kind of detection method of road-surface evenness based on Gravity accelerometer
US10753827B2 (en) Method and system for measuring vertical wheel impact force in real-time based on tire pressure monitoring
CN108515984B (en) Wheel damage detection method and device
CN102162217B (en) Laser dynamic deflection survey vehicle
CN110631786B (en) Rapid evaluation method for bearing capacity of beam bridge based on parking vibration response
JP6132304B2 (en) Road surface evaluation apparatus and method
CN104164829A (en) Pavement smoothness detection method based on mobile terminal and intelligent pavement information real-time monitoring system
CN104309435B (en) A kind of road roughness on-line identification method
CN104792937A (en) Bridge head bump detection evaluation method based on vehicle-mounted gravitational acceleration sensor
CN104215421A (en) Quick bridge impact coefficient determination method
CN105000033B (en) A kind of check and evaluation system of track geometry irregularities
CN108804814B (en) Method for extracting road surface spectrum parameters
CN101266190A (en) Normal traffic flow stayd-cable bridge mode parametric measurement device and method
CN112964551B (en) Dynamic test method for road surface bearing capacity based on strain and frequency
CN102607680A (en) Vibration-based rapid detection method for vehicle load identification for bridges
CN112347541B (en) Method for rapidly testing bearing capacity of asphalt pavement under normal traffic of vehicle
CN104833535A (en) Railway vehicle tire tread scratch detection method
CN111976731B (en) Road surface unevenness recognition method based on vehicle frequency domain response
CN201530980U (en) Pavement flatness checking device
CN103452032A (en) Dynamic deflection obtaining method based on angles
CN102535317A (en) Rapid testing device for pavement deflection
CN201434818Y (en) Road surface friction coefficient testing carriage
CN110987499A (en) Bridge dynamic load test method
CN202559215U (en) Rapid detection device for pavement deflection
CN116296180A (en) Bridge damping ratio identification method based on double-shaft vehicle contact response space position relation

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20230421

Address after: 201805 room 2201, No. 888, Moyu South Road, Anting Town, Jiading District, Shanghai J

Patentee after: Shanghai Yige Technology Co.,Ltd.

Address before: 200092 Siping Road 1239, Shanghai, Yangpu District

Patentee before: TONGJI University

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20240227

Address after: Room 904-1, No. 4801 Caoan Road, Anting Town, Jiading District, Shanghai, 2018

Patentee after: Shanghai tongluyun Transportation Technology Co.,Ltd.

Country or region after: China

Address before: 201805 room 2201, No. 888, Moyu South Road, Anting Town, Jiading District, Shanghai J

Patentee before: Shanghai Yige Technology Co.,Ltd.

Country or region before: China

TR01 Transfer of patent right