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Road traffic noise map updating method based on noise monitoring data

A technology of noise monitoring and noise map, applied in electrical digital data processing, special data processing applications, instruments, etc.

Active Publication Date: 2015-02-04
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is to update the traffic noise map at a relatively long time interval, and provide a road traffic noise map update method based on noise monitoring data with high calculation efficiency and good update effect

Method used

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  • Road traffic noise map updating method based on noise monitoring data
  • Road traffic noise map updating method based on noise monitoring data
  • Road traffic noise map updating method based on noise monitoring data

Examples

Experimental program
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Embodiment 1

[0045] Such as figure 1 As shown, a road traffic noise map update method based on noise monitoring data, the steps are as follows:

[0046] Step 1: For each monitoring point in the monitoring point set, obtain the road section set corresponding to the monitoring range of the monitoring point, and the road section outside the monitoring range does not participate in the solution of the sound pressure level at the monitoring point, so that the solution quality can be guaranteed In the case of reducing the amount of calculation. The monitoring range here is a circular area with a certain radius R with the monitoring point as the center of the circle. The selection of the length of the radius R is to make the impact of the road noise outside the circular area on the noise sound pressure level at the monitoring point as small as Negligible, in this embodiment, the radius R=500m.

[0047] Step 2: According to the basic data of regional structure data, traffic flow data, monitoring...

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Abstract

The invention provides a road traffic noise map updating method based on noise monitoring data. According to the method, noise monitoring and original traffic flow data are utilized, firstly, road section and monitoring point data are organized, and an effective road section set of each monitoring point is constructed; then, local correction is carried out, and the correcting difference value of each road section in the effective road section set of the monitoring points is calculated according to an energy conservation law; next, the local correction result is subjected to interval division; the correction difference value of other uncorrected road sections is determined according to an interval division result; finally, calculation and rendering are carried out, and an updated road traffic noise map is obtained. The road traffic noise map updating method is applied to the updating of the road traffic noise map, the calculation efficiency is high, and the updating effect is good.

Description

technical field [0001] The present invention relates to the field of traffic noise maps, in particular to a method for updating road traffic noise maps based on noise monitoring data. Background technique [0002] The road traffic noise map can simulate and calculate the pollution degree and distribution of road traffic noise in a certain area. As an important tool for environmental noise management, it should be time-sensitive, and its update is very necessary. At present, traffic noise maps mainly use predictive models to calculate and draw. According to the generation characteristics of road traffic noise, the law of noise propagation, and the influence of obstacle distribution on propagation, a prediction model is established, and the required data (such as traffic flow data) is input into the model for calculation, and the traffic noise in the area is simulated and solved. Condition. In order to update the noise map of a certain area, it is usually necessary to re-col...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 蔡铭吕梓燊
Owner SUN YAT SEN UNIV
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