System for acquiring road traffic flow information and traffic noise data synchronously

Abstract

The system for acquiring road traffic flow information and traffic noise data synchronously, which is characterized by comprising a front-end monitoring subsystem, a data storage center server and a background monitoring terminal. The front-end monitoring subsystem comprises a traffic flow information acquiring subunit, a noise data acquiring subunit and a processing subunit; the data storage center server is used for storing the traffic flow information and the traffic noise data of the front-end monitoring subsystem synchronously, replying the data request from the background monitoring terminal and forwarding the control request of the background monitoring terminal; the background monitoring terminal is used for displaying traffic flow information and the traffic noise data monitoring by the front-end monitoring subsystem, remotely controlling the front-end monitoring subsystem and inquiring and counting the acquired data. The system has the characteristics of simple structure, easy implementation and high automation degree, can realize the real-time acquisition, storage, transmission and monitoring of the road traffic flow information and traffic noise data and provides a basis vehicle noise model to simulate and calculating the traffic noise.

Description

technical field [0001] The invention relates to the field of traffic monitoring, in particular to a road traffic information collection system. Background technique [0002] With the development of our country's economy, the problem of environmental pollution is becoming more and more serious. Noise pollution, water pollution and air pollution are regarded as three major environmental problems in the world. Noise pollution has become a major hazard affecting people's daily life. According to the classification method of noise in the Law of the People's Republic of China on the Prevention and Control of Environmental Noise Pollution, the main sources of noise pollution include traffic noise, industrial noise, construction noise and social life noise. According to the statistics of the National Bureau of Statistics in 2009, my country's major Urban traffic noise, industrial noise, construction noise and social life noise accounted for 38.6%, 19.6%, 25.7% and 16.1% of the soun...

AI Technical Summary

Problems solved by technology

[0003] However, the existing traffic noise monitoring technology has the following problems: First, manual monitoring is generally used for traffic noise collection, which consumes manpower and cannot obtain 24-hour continuous real-time noise values ​​day and night

Second, when the traffic noise monitoring is applied to the vehicle noise emission model, the traditional manual experiment method consumes a lot of time and manpower in collecting noise, and there is also a lack of efficient means in collecting vehicle parameters such as vehicle type and speed, which makes the vehicle It is very difficult to build a noise emission model

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