Method and system for predicting instantaneous value of airport noise based on time series analysis

A technology of time series analysis and airport noise, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult correction and optimization of prediction results, lack of learning ability of prediction models, single airport noise prediction model, etc. , to achieve the effects of enhancing learning ability and generalization ability, reducing modeling complexity, good adaptability and robustness

Inactive Publication Date: 2013-04-03
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS +1
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (1) Due to the limitations of noise prediction models, most models study airport noise prediction problems based on aircraft types, noise, distance characteristics, etc., making the airport noise prediction model relatively single
[0009] (2) In the prediction system where the flight operation data cannot be input in real time, the airport noise situation cannot be updated through real-time data.

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
  • Method and system for predicting instantaneous value of airport noise based on time series analysis
  • Method and system for predicting instantaneous value of airport noise based on time series analysis
  • Method and system for predicting instantaneous value of airport noise based on time series analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] This embodiment is a method for predicting the instantaneous value of airport noise. The existing data is the actual measurement data from February to August at a certain airport monitoring point in Beijing, and the data is collected once per second from 15 observation points. Select one of the observation points in the large batch of data, a total of 122 days of data from March to June. Select the instantaneous value of the data every hour every day to form a 24-dimensional input vector X, and use the value at the zero point of the next day as the output value Y. For the data, we divide the training set and the test set as follows: select the data of the first 108 days as the training set, and use the data of the last two weeks as the test set.

[0042] Classification according to noise level: severe pollution: >74.0 decibels, moderate pollution: 72.0-74.0 decibels, light pollution: 70.0-72.0 decibels, better: 68.0-70.0 decibels, good: ≤68.0 decibels, take the number o...

Embodiment 2

[0067] This embodiment is a system for implementing the method described in Embodiment 1, such as figure 1 As shown, the system includes a noise acquisition module, a data processing module, a memory module, and a computer processing module. In the noise acquisition module, the noise information collected by the sound sensor is amplified by the amplifier circuit and then input to the data processing module through the analog-to-digital conversion module. The noise information database module in the computer processing module is input through the memory module, and then the prediction data is obtained through the processing of the input module and input into the prediction model module.

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 a method and a system for predicting an instantaneous value of airport noise based on time series analysis. In the method, an analysis research is carried out in allusion to the instantaneous value of the airport noise, the characteristics of the airport noise are explored from a time series angle and then, predication model establishment and predication are performed in sequence. The system comprises a noise acquisition module, a data processing module, a storage module and a computer processing module, wherein in the noise acquisition module, noise information acquired by a sound sensor is amplified by an amplification circuit and then is input into the data processing module via an analog-to-digital conversion module, input into a noise information database module in the computer processing module via the storage module, and input into a predication model module after being processed by the input module, and the predication model module processes the noise information to obtain prediction data. The method disclosed by the invention has the advantages of developing new concepts and research fields related to airport noise predication, enhancing the learning capability and generalization capability of the models while reducing the modeling complexity, and greatly improving prediction precision.

Description

technical field [0001] The invention relates to an airport noise prediction method, in particular to an instantaneous airport noise prediction method, and at the same time relates to a machine sound noise instantaneous value prediction system for realizing the method. Background technique [0002] With the progress of the society and the continuous development of my country's civil aviation industry, the airport, as the station of air traffic and the window of the city, plays a very important role in the process of urban modernization. While air transportation has brought convenience and prosperity to cities, it has also brought a series of environmental problems, the most important of which is noise pollution. Controlling aviation noise, preventing noise pollution, and realizing the sustainable development of airport aviation business have become a thorny problem that airport authorities have to face and solve. [0003] With the gradual improvement of people's environmenta...

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
IPC IPC(8): G06F19/00
Inventor 周勇温冬琴徐涛吕宗磊王丽娜孙茂圣
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap