Urban road noise source intensity predicting method and device

A noise source, strong prediction technology, applied in the direction of instrument, calculation, electrical digital data processing, etc., can solve the problem of inaccurate prediction of urban road noise source intensity.

Inactive Publication Date: 2017-05-31
CHINA NAT ENVIRONMENTAL MONITORING CENT
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a method and device for predicting urban road noise source intensity to solve the problem that the existing technical solutions cannot accurately predict the value of urban road noise source intensity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban road noise source intensity predicting method and device
  • Urban road noise source intensity predicting method and device
  • Urban road noise source intensity predicting method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Embodiment 1 of the present invention discloses a method for predicting urban road noise source intensity, which is applied to a device for predicting urban road noise source intensity. The flow chart of the method is as follows figure 1 shown, including the following steps:

[0063] S101, recording the current flow value, current speed value and current environment information of each type of vehicle on the target city road within the first preset time period, each type of vehicle includes large vehicles and small and medium-sized vehicles, and the current environment information includes current lane values;

[0064] In the process of executing step S101, collect the vehicle flow and speed values ​​of each model that can represent the average level of the target city road for a period of time, such as predicting the urban road traffic noise source intensity value of the target city road for one year, and this year can be selected 3 to 5 normal working days;

[0065] ...

Embodiment 2

[0073] In combination with the above-mentioned method for predicting the source strength of urban road noise disclosed in Embodiment 1 of the present invention, such as figure 1 In the shown step S103, the specific execution process of pre-constructing the urban road noise source intensity prediction model is as follows: figure 2 shown, including the following steps:

[0074] S201, select a reference type of vehicle from each type of vehicle and construct an initial urban road noise source intensity prediction model, wherein the parameters of the initial urban road noise source intensity prediction model include speed, number of lanes, type conversion coefficient, flow rate of the reference type of vehicle, and For the flow rate of vehicles of non-reference type, the vehicle type conversion factor is the ratio of the noise value of non-reference type vehicles to the noise value of reference type vehicles;

[0075] Specifically, in step S201, the specific execution process of...

Embodiment 3

[0110] Based on the methods for predicting urban road noise source intensity disclosed in the above-mentioned embodiments, the third embodiment of the present invention discloses a corresponding device for implementing the above-mentioned method for predicting urban road noise source intensity, and its structural diagram is as follows Figure 5 As shown, the urban road noise source intensity prediction device 500 includes: an information recording module 501, a first calculation module 502 and a second calculation module 503, and the second calculation module 503 includes a model building module 504;

[0111] The information recording module 501 is used to record the current flow value, current speed value and current environment information of each type of vehicle on the target city road within the first preset time period. Each type of vehicle includes large vehicles and small and medium-sized vehicles, and the current environment information Including the current lane value;...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an urban road noise source intensity predicting method and device. The method comprises the step that current flow values, current speed values and current lane numerical values of vehicles of various vehicle models collected on a target urban road are substituted into a pre-constructed urban road noise source intensity prediction model, and in other words, a noise source intensity prediction value of the target urban road can be calculated. Due to the fact that the urban road noise source intensity prediction model is constructed according to the actual urban road in China, the method can accurately predict the noise source intensity value of the national urban road which has no gradient or whistle and is made of common road surface materials, and means is provided for environmental impact assessment and road traffic noise routine monitoring before road construction.

Description

technical field [0001] The invention relates to the technical field of noise source strength prediction, and more specifically, to a method and device for predicting urban road noise source strength. Background technique [0002] The noise prediction model covers two aspects: the noise source intensity model and the noise propagation model. The research on noise source intensity prediction model started earlier in foreign countries, and many countries have established models reflecting their own road conditions and vehicle conditions. Evaluation Technical Guidelines for the Acoustic Environment (hereinafter referred to as the "EIA Guidelines"). [0003] Since the "Highway Environmental Assessment Specification" is to predict the noise source intensity of highways, and highways and urban roads are different in terms of vehicle speed, number of lanes and traffic flow, so using the "Highway Environmental Assessment Specifications" to predict the noise source intensity of urban...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367G06F2119/10
Inventor 汪贇魏峻山李宪同温香彩
Owner CHINA NAT ENVIRONMENTAL MONITORING CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products