CN110055867A - A kind of asphalt pavement antiskid security risk real-time perception method for early warning - Google Patents

A kind of asphalt pavement antiskid security risk real-time perception method for early warning Download PDF

Info

Publication number
CN110055867A
CN110055867A CN201811265250.2A CN201811265250A CN110055867A CN 110055867 A CN110055867 A CN 110055867A CN 201811265250 A CN201811265250 A CN 201811265250A CN 110055867 A CN110055867 A CN 110055867A
Authority
CN
China
Prior art keywords
antiskid
real
risk
early warning
section
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.)
Pending
Application number
CN201811265250.2A
Other languages
Chinese (zh)
Inventor
钟科
孙明志
刘朝旭
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.)
Research Institute of Highway Ministry of Transport
Original Assignee
Research Institute of Highway Ministry of Transport
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 Research Institute of Highway Ministry of Transport filed Critical Research Institute of Highway Ministry of Transport
Priority to CN201811265250.2A priority Critical patent/CN110055867A/en
Publication of CN110055867A publication Critical patent/CN110055867A/en
Pending legal-status Critical Current

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses a kind of asphalt pavement antiskid security risk real-time perception method for early warning, this method passes through the velocity sensor and pressure sensor that are embedded in paving, the wheel load load and velocity information that can be acted on real-time perception asphalt pavement, in conjunction with the antiskid risk model established, the model considers face textural characteristics simultaneously, the interaction of tire material feature and the two, apparatus of transport high-speed cruising (running car can be analyzed in real time, takeoff and landing process) during existing antiskid security risk, and with sound, light, pre-warning signal is transferred to the intelligent early-warning terminal of driver by the forms such as vibration, realize " the sense of asphalt pavement antiskid security risk, it passes, know, control " integration, a kind of reliable method of science is provided for antiskid security risk real-time control during apparatus of transport high-speed cruising, with important theory significance And application value.

Description

A kind of asphalt pavement antiskid security risk real-time perception method for early warning
Technical field
The present invention relates to road Risk-warning technical fields, and in particular to a kind of asphalt pavement antiskid security risk is felt in real time Know method for early warning.
Background technique
With the rapid development of Highway Cause, highway transportation speed is also correspondinglyd increase, at the same time, the quantity of traffic accident Also it is being continuously increased.Therefore the antiskid security performance on research road surface becomes extremely important, it is to guarantee traffic safety and maintenance Important indicator.Currently, researchers at home and abroad also attach great importance to the research of the antiskid Risk-warning of asphalt pavement.Currently comment The research emphasis of valence antiskid risk is mostly that the texture structure either research delivery vehicle Tyre structure in research paving is anti-to establish Sliding risk model.The method for being currently used for evaluation asphalt concrete pavement antiskid risk performance, inspection corresponding with these methods There is also biggish differences for measurement equipment.But in general, these methods can be attributed to Indirect evaluation method and direct evaluation assessment two Big classification.
The Indirect evaluation method of bituminous pavement antiskid risk performance is the construction depth by measuring asphalt concrete pavement, And then road pavement skid resistance makes evaluation.The method mainly uses laser cross section instrument, light scanner, probe tracking instrument, annular Texture tester and coefficient of dynamics frictiograph come test microtexture and the macrostructure in face to obtain data analysis to It is concluded that.
The direct evaluation of bituminous pavement antiskid risk performance refers to the coefficient of friction by Instrument measuring road table.The method master Use pendulum friction coefficient determinator, dynamic frictional coefficient tester, profile frictional coefficient test carriage, locking wheel friction testing vehicle The coefficient of friction that road surface is directly measured with friction coefficient instrument carries out antiskid risk assessment.
But current method is primarily present two aspect problems: (1) data that detection device provides need subsequent processing It can use and not have real-time;(2) these pavement skid resistance risk safety evaluations only only account for pavement structure or only consider wheel The factors such as tire imposed load, Relative sliding speed speed and tire pressure do not account for mutual between tire and road surface Effect.It is even more impossible to test the antiskid performance of the complicated weather such as rainwater, dark ice, therefore, it is impossible to authentic and valid judge apparatus of transport The antiskid performance of tire and road face during high-speed cruising.
And there is also following disadvantages:
(1) artifical influence factor is more in data acquisition, and the authenticity of data cannot be protected;
(2) data acquisition is slower, and detection device automation, the level of informatization are low, and Data Post heavy workload occupies people Power, material resources influence the feedback and utilization of information;
(3) frictional behaviour can only passively be expressed, it is difficult to the expression road face antiskid performance of active;
(4) data measured by can not be analyzed quickly and real-time early warning is to driver.
Therefore, the antiskid safety risk model of delivery vehicle tire and road face during high speed driving, energy how to be established Enough precognition risks in real time and the scientific method for carrying out early warning, are of great significance.
Summary of the invention
The purpose of the present invention is to provide a kind of asphalt pavement antiskid security risk real-time perception method for early warning, pass through foundation Antiskid safety risk model under high-speed condition between the road carrying tool wheel Tai He face is delivery vehicle in lower antiskid of running at high speed Security risk early warning real-time control provides a scientific basis.
To achieve the above object, the technical solution of the present invention is as follows:
A kind of asphalt pavement antiskid security risk real-time perception method for early warning, which is characterized in that the method includes as follows Step:
(1) the antiskid risk model in antiskid early warning section is established: using self-focusing three-dimensional surface measurement instrument, to the section road The surface texture in face is scanned imaging, obtains the three-D grain image in face, analyzes to obtain face textural characteristics by data Parameter includes fractal dimension H, texture elevation h0, upper limit wave vector ql, lower limit wave vector qL, amplification factor ζ, proportionality coefficient p (ζ);Then The road face textural characteristics parameter measured is substituted into persson formula, establishes the feature antiskid risk model in Risk-warning section, it will The parameter input of the antiskid risk model calculates analysis system, i.e. the antiskid risk mould in the utilisation system Real-Time Evaluation section Type, antiskid risk model that is to say that persson formula is as follows:
In formula, μ is real-time coefficient of friction, and Im is the imaginary number position in plural number;Angle (rad) between wave vector and speed, γ indicates Poisson's ratio,Indicate the viscoelastic modulus of rubber tyre.
(2) data acquisition and transmission: the stress value б of apparatus of transport on the road face in acquisition antiskid early warning section0With real-time speed V is spent, and with the traveling real-time transmission data of apparatus of transport;
(3) data of acquisition are updated in antiskid risk model, obtain apparatus of transport tire equator face when running at high speed Real-time friction coefficient μ, pass through the early warning value μ with standard0It being compared, judging apparatus of transport by whether there is when the section Antiskid risk;As μ > μ0When, the apparatus of transport is not by having antiskid risk when the section, as μ≤μ0When, which passes through There are antiskid risks when the section;
(4) if analysis system judgement is there are antiskid risk, pre-warning signal terminal will be with sound, light or vibration mode by early warning Signal is transferred to driver, when risk is not present in judgement, then will not generate pre-warning signal.
Preferably, the stress value б0It is by being respectively arranged FBG in the road face in antiskid early warning section with real-time speed v What compression sensor and photoelectric sensor measured, wherein compression sensor is used to measure the stress value б of apparatus of transport0, light Electric transducer is used to measure the real-time speed v of apparatus of transport.
Preferably, the pre-warning signal terminal is buzzer, red light and/or vehicle-mounted (airborne) vibration alarm.
Further, the early warning section roadside that the buzzer is arranged in cabin interior or driver is facilitated to observe, The early warning section roadside for facilitating driver to observe is arranged in the red light;And when there are antiskid risk, the red lamp flass. Vehicle-mounted (airborne) vibration alarm is set to cabin interior, and when there are antiskid risk, vibration alarm is to vibrate Form prompts the driver section, and there are antiskid risks.
The present invention has the advantage that
(1) present invention uses 3-D scanning technology, can obtain three-dimensional regular point cloud data accurately to obtain face- The three-dimensional micro-morphology profile of tire scan quickly, in high precision to tire-road face, and reduction degree is high, and accuracy is high, obtains Parameter accuracy it is high.
(2) data that apparatus of transport is measured in high-speed cruising can be updated to rapidly antiskid risk model by the present invention In, judge there are that pre-warning signal can be transferred to driver in real time when antiskid risk, to realize delivery vehicle high speed row Risk control when sailing.
(3) present invention can analyze antiskid risk in real time, reach the timely early warning of system, driver is adjusted in time Judgement, is conducive to drive safely, and risk identification when running at high speed for delivery vehicle, risk analysis, risk monitoring and control provide strong Method for early warning.
It (4), being capable of real-time perception road face ring by the acceleration transducer and environmental information sensor that are embedded in paving Border and structural information can analyze apparatus of transport high-speed cruising (vapour in conjunction with the antiskid risk dynamic evaluation model established in real time Vehicle traveling, takeoff and landing process) during existing antiskid security risk, and pre-warning signal is passed in the form of sound, light, vibration etc. Defeated (airborne or vehicle-mounted) intelligent early-warning terminal to driver realizes asphalt pavement antiskid security risk " feel, pass, knowing, controlling " one Body provides a kind of reliable method of science for antiskid security risk real-time control during apparatus of transport high-speed cruising, has Important theory significance and application value.
Detailed description of the invention
Fig. 1 is asphalt pavement antiskid security risk real-time perception early warning process.
Fig. 2 is the three-D grain image in the section scanned in embodiment 1.
Fig. 3 is the three-D grain image in the section scanned in embodiment 2.
Specific embodiment
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..The present invention provides a kind of drips Green paving antiskid security risk real-time perception method for early warning is not restricted to method described in scheme elaboration.Therefore it is all according to According to the equivalent change or modification that model and principle described in this patent are done, should all include within the scope of present patent application.
Embodiment 1
One section of test segment has been selected, the real-time perception early warning of antiskid security risk is carried out to the asphalt pavement, is specifically included Following steps:
Step 1: it establishes the antiskid risk model in antiskid early warning section: using high-precision self-focusing three-dimensional surface measurement instrument, Imaging is scanned to the surface texture in the test segment road face of selection, obtains the three-D grain image in face (such as Fig. 2 institute Show), it analyzes to obtain fractal dimension H=2.85, the texture elevation h in the section by data0=2.1 × 10-3, upper limit wave vector ql= 4800m-1, lower limit wave vector qL=1200m-1, amplification factor ζ=10, proportionality coefficient p (ζ)=10-2Equal roads face textural characteristics parameter, By the viscoelastic modulus of the road face texture parameter, Poisson's ratio γ=0.5 and the rubber tyre being calculated that measurePersson formula is substituted into, the feature antiskid risk model in Risk-warning section is established, by the wind The parameter input of dangerous model calculates analysis system, and the risk model formula is as follows:
In formula: μ is real-time coefficient of friction, and Im is the imaginary number position in plural number;Angle (rad) between wave vector and speed;
Step 2: the FBG pressure that encapsulation is combined by polymer and metal material is arranged in the road face in antiskid early warning section Sensor measures the stress value б of apparatus of transport1=0.8MPa can accurately measure traveling in antiskid early warning using photoelectric sensor The real-time speed v of section apparatus of transport1=20m/s, and as the traveling of apparatus of transport transmits data in time.
Step 3: the data that data collection terminal measures can be real-time transmitted to antiskid risk model, calculate carrying work at once Has the real-time friction coefficient μ in the tire equator face when running at high speed1=0.61, pre-set early warning friction coefficient μ0=0.45, by In μ1≥μ0, according to judgment formula (as μ > μ0When, the apparatus of transport is not by having antiskid risk when the section, as μ≤μ0When, There are antiskid risks when the apparatus of transport is by the section;) it is believed that apparatus of transport does not have antiskid risk at this time;At this point, pre- Alert terminal will not then generate pre-warning signal, and driver can be with the safety section.
Embodiment 2
One section of test segment has been selected, the real-time perception early warning of antiskid security risk is carried out to the asphalt pavement, is specifically included Following steps:
Step 1: it establishes the antiskid risk model in antiskid early warning section: using high-precision self-focusing three-dimensional surface measurement instrument, Imaging is scanned to the surface texture in the test segment road face of selection, obtains face three-D grain image (as shown in Figure 3), It analyzes to obtain fractal dimension H=2.2, the texture elevation h in the section by data0=7 × 10-4, upper limit wave vector ql=6000m-1、 Lower limit wave vector qL=600m-1, amplification factor ζ=15, proportionality coefficient p (ζ)=10-2Equal roads face textural characteristics parameter, by what is measured The viscoelastic modulus of road face texture parameter, Poisson's ratio γ=0.5 and the rubber tyre being calculatedPersson formula is substituted into, the feature antiskid risk model in Risk-warning section is established, by this The parameter input of risk model calculates analysis system, and the risk model formula is as follows
In formula: μ is real-time coefficient of friction, and Im is the imaginary number position in plural number;Angle (rad) between wave vector and speed;
Step 2: the FBG pressure that encapsulation is combined by polymer and metal material is arranged in the road face in antiskid early warning section Sensor measures the stress value б of apparatus of transport1=0.8MPa can accurately measure traveling in antiskid early warning using photoelectric sensor The real-time speed v of section apparatus of transport1=30m/s, and as the traveling of apparatus of transport transmits data in time.
Step 3: the data that data collection terminal measures can be real-time transmitted to antiskid risk model, calculate carrying work at once Has the real-time friction coefficient μ in the tire equator face when running at high speed1=0.42, pre-set early warning friction coefficient μ0=0.45, by In μ1≤μ0, according to judgment formula (as μ > μ0When, the apparatus of transport is not by having antiskid risk when the section, as μ≤μ0When, There are antiskid risks when the apparatus of transport is by the section;) it is believed that there are antiskid risks for apparatus of transport at this time;At this point, vehicle Carrying (airborne) vibration alarm, there are antiskid risks with vibration mode prompt driver section.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore, These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.

Claims (7)

1. a kind of asphalt pavement antiskid security risk real-time perception method for early warning, which is characterized in that the method includes walking as follows It is rapid:
(1) the antiskid risk model in antiskid early warning section is established: using self-focusing three-dimensional surface measurement instrument, to the section road face Surface texture is scanned imaging, obtains the three-D grain image in face, analyzes to obtain face textural characteristics parameter by data Including fractal dimension H, texture elevation h0, upper limit wave vector ql, lower limit wave vector qL, amplification factor ζ, proportionality coefficient p (ζ);Then it will survey The road face textural characteristics parameter obtained substitutes into persson formula, establishes the feature antiskid risk model in Risk-warning section, this is resisted The parameter input of sliding risk model calculates analysis system, i.e. the antiskid risk model in the utilisation system Real-Time Evaluation section, resists Sliding risk model that is to say that persson formula is as follows:
In formula, μ is real-time coefficient of friction, and Im is the imaginary number position in plural number;Angle (rad) between wave vector and speed, γ are indicated Rubber tyre Poisson's ratio,Indicate the viscoelastic modulus of rubber tyre.
(2) data acquisition and transmission: the stress value б of apparatus of transport on the road face in acquisition antiskid early warning section0With real-time speed v, and With the traveling real-time transmission data of apparatus of transport;
(3) data of acquisition are updated in antiskid risk model, obtain the reality in apparatus of transport tire equator face when running at high speed When friction coefficient μ, by with standard early warning value μ0It being compared, judging apparatus of transport by whether there is antiskid wind when the section Danger;As μ > μ0When, the apparatus of transport is not by having antiskid risk when the section, as μ≤μ0When, which passes through the section When there are antiskid risks;
(4) if analysis system judgement is there are antiskid risk, pre-warning signal terminal will be with sound, light or vibration mode by pre-warning signal It is transferred to driver, when risk is not present in judgement, then will not generate pre-warning signal.
2. asphalt pavement antiskid security risk real-time perception method for early warning according to claim 1, which is characterized in that described Stress value б0It is by being respectively arranged FBG compression sensor and photoelectricity in the road face in antiskid early warning section with real-time speed v What sensor measured, wherein compression sensor is used to measure the stress value б of apparatus of transport0, photoelectric sensor is for measuring load The real-time speed v of fortune tool.
3. asphalt pavement antiskid security risk real-time perception method for early warning according to claim 1, which is characterized in that described Pre-warning signal terminal is buzzer, red light and/or vehicle-mounted/airborne vibration alarm.
4. asphalt pavement antiskid security risk real-time perception method for early warning according to claim 3, which is characterized in that described The early warning section roadside that buzzer is arranged in cabin interior or driver is facilitated to observe.
5. asphalt pavement antiskid security risk real-time perception method for early warning according to claim 3, which is characterized in that described The early warning section roadside for facilitating driver to observe is arranged in red light.
6. the asphalt pavement antiskid security risk real-time perception method for early warning according to claim 3 or 5, which is characterized in that When there are antiskid risk, the red lamp flass.
7. asphalt pavement antiskid security risk real-time perception method for early warning according to claim 3, which is characterized in that described Vehicle-mounted/airborne vibration alarm be set to cabin interior, when there are antiskid risk, the vibration alarm is to vibrate shape Formula prompts the driver section, and there are antiskid risks.
CN201811265250.2A 2018-10-29 2018-10-29 A kind of asphalt pavement antiskid security risk real-time perception method for early warning Pending CN110055867A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811265250.2A CN110055867A (en) 2018-10-29 2018-10-29 A kind of asphalt pavement antiskid security risk real-time perception method for early warning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811265250.2A CN110055867A (en) 2018-10-29 2018-10-29 A kind of asphalt pavement antiskid security risk real-time perception method for early warning

Publications (1)

Publication Number Publication Date
CN110055867A true CN110055867A (en) 2019-07-26

Family

ID=67315846

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811265250.2A Pending CN110055867A (en) 2018-10-29 2018-10-29 A kind of asphalt pavement antiskid security risk real-time perception method for early warning

Country Status (1)

Country Link
CN (1) CN110055867A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111814247A (en) * 2020-06-22 2020-10-23 同济大学 Aircraft landing safety risk assessment system based on wet and slippery state perception
CN112114122A (en) * 2020-09-04 2020-12-22 昆明学院 Characterization method of viscoelastic mechanical property of rubber material
CN114441436A (en) * 2021-12-20 2022-05-06 中国公路工程咨询集团有限公司 Analysis method for evaluating anti-skid performance based on pavement texture
CN116523414A (en) * 2023-06-29 2023-08-01 深圳市鑫冠亚科技有限公司 Production management method and system for composite nickel-copper heat dissipation bottom plate

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202134106U (en) * 2011-07-29 2012-02-01 四川中唯交通科技有限公司 Intelligent vehicle-mounted road condition collector
CN203102592U (en) * 2013-02-06 2013-07-31 郭忠印 Mobile monitoring and early warning system based on expressway operation safety
CN107238604A (en) * 2017-07-19 2017-10-10 云南省交通规划设计研究院 Road surface construction is distributed and antiskid performance detection integration unit and detection method
CN207458345U (en) * 2017-11-16 2018-06-05 北京百纳友为科技有限公司 Frictional index linkage control speed system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202134106U (en) * 2011-07-29 2012-02-01 四川中唯交通科技有限公司 Intelligent vehicle-mounted road condition collector
CN203102592U (en) * 2013-02-06 2013-07-31 郭忠印 Mobile monitoring and early warning system based on expressway operation safety
CN107238604A (en) * 2017-07-19 2017-10-10 云南省交通规划设计研究院 Road surface construction is distributed and antiskid performance detection integration unit and detection method
CN207458345U (en) * 2017-11-16 2018-06-05 北京百纳友为科技有限公司 Frictional index linkage control speed system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨发: "《基于胎/炉耦合的沥青路面抗滑性能研究》", 30 July 2015 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111814247A (en) * 2020-06-22 2020-10-23 同济大学 Aircraft landing safety risk assessment system based on wet and slippery state perception
CN111814247B (en) * 2020-06-22 2022-08-16 同济大学 Aircraft landing safety risk assessment system based on wet and slippery state perception
CN112114122A (en) * 2020-09-04 2020-12-22 昆明学院 Characterization method of viscoelastic mechanical property of rubber material
CN114441436A (en) * 2021-12-20 2022-05-06 中国公路工程咨询集团有限公司 Analysis method for evaluating anti-skid performance based on pavement texture
CN114441436B (en) * 2021-12-20 2024-04-16 中国公路工程咨询集团有限公司 Analysis method for evaluating anti-skid performance based on pavement texture
CN116523414A (en) * 2023-06-29 2023-08-01 深圳市鑫冠亚科技有限公司 Production management method and system for composite nickel-copper heat dissipation bottom plate
CN116523414B (en) * 2023-06-29 2023-09-05 深圳市鑫冠亚科技有限公司 Production management method and system for composite nickel-copper heat dissipation bottom plate

Similar Documents

Publication Publication Date Title
CN110055867A (en) A kind of asphalt pavement antiskid security risk real-time perception method for early warning
US11447150B2 (en) Comfort-based self-driving planning method
Vittorio et al. Automated sensing system for monitoring of road surface quality by mobile devices
CN103802826B (en) Stability forewarn system in a kind of automobile high-speed turning driving
CN113825686B (en) Method and system for detecting irregularities of a road surface
Wang et al. A road quality detection method based on the mahalanobis-taguchi system
CN203037847U (en) A length, width, and height automatic detecting device of transport vehicles on a highway
CN107479061A (en) A kind of safe early warning method and system based on image recognition and radar range finding
Jiang et al. Research on pavement traffic load state perception based on the piezoelectric effect
CN201289413Y (en) Real time measurement device for barokinesis distribution of tyre to ground
CN112435463B (en) Vehicle type and vehicle weight classification method based on road internet of things monitoring
CN106568403A (en) Road surface accumulated water detection method and device
CN110239433A (en) A kind of vehicle intelligent monitoring and pre-warning system and method based on lorry traffic safety
CN106379321A (en) Method, device and system for recognizing sudden turning of vehicle
CN115798194B (en) Road condition monitoring method and device based on vehicle vibration data
CN113795415B (en) Method and system for detecting irregularities of a road surface
Thiandee et al. An experiment on measurement of pavement roughness via android-based smartphones
CN105702070A (en) Vehicle-road cooperative control system and method with tunnel speed early warning function
CN104713769A (en) Active shock excitation detection system for road condition assessment
Zhang et al. Vision-based tire deformation and vehicle-bridge contact force measurement
Chen et al. Real-time road pothole mapping based on vibration analysis in smart city
Luo et al. Hydroplaning on sloping pavements based on inertial measurement unit (imu) and 1mm 3d laser imaging data
CN117897319A (en) Method and device for determining and characterizing road surface unevenness
CN118119542A (en) Method and device for determining and characterizing lane irregularities
CN106996880A (en) A kind of city rail vehicle braking ability measurement apparatus and method

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