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A road surface friction coefficient detection system

A technology for road friction coefficient and detection system, which is applied to measurement devices, instruments, and mechanical devices, etc., can solve the problems of inability to judge test errors, difficult pre-evaluation, and no database of friction coefficients, so as to reduce data errors and improve High efficiency and high test accuracy

Active Publication Date: 2018-01-09
四川正达检测技术有限责任公司
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AI Technical Summary

Problems solved by technology

The lateral force coefficient tester is mainly used for long-distance continuous testing. The problem is that it cannot judge the size of the test error. The test results are greatly affected by external factors such as temperature and humidity. The friction coefficient of the tested road sections has not formed a database and is difficult to repeat. Use the existing data of similar road sections for pre-evaluation

Method used

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  • A road surface friction coefficient detection system
  • A road surface friction coefficient detection system
  • A road surface friction coefficient detection system

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Embodiment Construction

[0019] The present invention will be described in further detail below by means of specific embodiments:

[0020] Instructions attached figure 1 The reference signs include: axle 1, speed sensor 2, humidity sensor 3, temperature sensor 4, vehicle running sensor 5.

[0021] The present embodiment needs to form a complete set of a testing vehicle commonly used at present, install on this testing vehicle such as attached figure 1 The road surface friction coefficient detection system shown includes three parts: vehicle driving sensor, big data collection importer and big data sensor, each of which becomes a central branch.

[0022] The vehicle running sensor includes a data collector, a speed sensor installed on the wheel, a temperature sensor and a humidity sensor installed on the bottom of the vehicle body. The speed sensor reads the rotation speed optically, and the speed sensor is based on the read rotation speed and the effective rotation radius of the wheel. Read the spee...

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Abstract

This patent application discloses a detection system that uses big data analysis and mining technology to efficiently and accurately automatically sense and analyze the friction coefficient of road surfaces. Including vehicle driving sensor, big data collection importer and big data sensor, built-in database MySQL and Oracle in the memory electrically connected with the big data collection importer, the data feature matrix stored in the memory includes regional characteristics, road surface characteristics, vehicle speed, temperature, Humidity and road surface friction coefficient; big data sensors built-in MySQL Infobright and Oracle Exadata for data analysis and Hadoop Mahout for data mining. The system also has an automatic calibration function.

Description

technical field [0001] The invention relates to road detection technology, in particular to a road surface friction coefficient detection system. Background technique [0002] The coefficient of friction refers to the ratio of the friction force between two contact surfaces to the vertical force acting on one of the contact surfaces. Pavement friction coefficient is an important index reflecting the anti-skid performance of pavement, and its magnitude directly affects the driving safety of vehicles. The friction coefficient of the road surface mainly depends on various characteristics of the road surface, such as the roughness, dryness and covering of the road surface, which will affect the friction coefficient of the road surface. [0003] With the rapid development of road traffic in our country, the performance requirements of the road surface are getting higher and higher. Therefore, the real-time detection of the friction coefficient of the road surface is particularly...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N19/02
Inventor 冯晓秦浪朝
Owner 四川正达检测技术有限责任公司
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