Pollution propagation mode visual analysis method and system based on time sequence particle tracking

A propagation mode, particle tracking technology, applied in character and pattern recognition, other database browsing/visualization, other database retrieval, etc., to achieve the effect of promoting the environment

Active Publication Date: 2019-11-08
NORTHEAST NORMAL UNIVERSITY
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a method and system for visual analysis of pollution propagation modes based on time-series particle tracking. Based on large-scale multi-source heterogeneous spatio-temporal data, a new air pollution propagation model construction method is proposed. Designed and implemented a comprehensive visual analysis system to analyze air pollution transmission issues

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
  • Pollution propagation mode visual analysis method and system based on time sequence particle tracking
  • Pollution propagation mode visual analysis method and system based on time sequence particle tracking
  • Pollution propagation mode visual analysis method and system based on time sequence particle tracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] Such as figure 1 As shown, the visual analysis method of pollution propagation mode based on time series particle tracking includes the following steps:

[0083] S1: Collect meteorological data and air quality data, and preprocess them;

[0084] S2: Integrate the preprocessed data with meteorological factors, and use the high-precision Runge-Kutta method to track the movement of pollutant particles, thereby quantifying the level of pollution transport between stations, and then detecting important pollution sources;

[0085] S3: Based on the pollution transmission information in the time series between stations, for each target station, conduct pollution source detection;

[0086] S4: Based on the detection results of pollution source site groups, design a map visualization pollution source site group based on heat map and glyphs;

[0087] S5: Based on the detected pollution source station groups, construct a time-series feature vector to represent the air quality of ...

Embodiment 2

[0149] Embodiment 2: as Figure 14 As shown, the visual analysis system of pollution propagation mode based on time series particle tracking includes:

[0150] Data collection and processing module: used to collect meteorological data and air quality data, and preprocess the air quality data;

[0151] The data of 1,497 air quality monitoring stations in 375 cities in China was obtained through the PM25.in website. Each data record monitors the concentration of six air pollutants: PM2.5, PM10, NO 2 , SO 2 , O 3 , CO; downloaded the global meteorological data from the European Center for Medium-Range Weather Forecast, including three attributes of specific humidity, wind field U component, and wind field V component. The wind speed can be obtained from the wind field U component and wind field V component; due to air quality monitoring The collected air quality data is missing due to reasons such as site power outages and sensor damage. Therefore, the inverse distance weighte...

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 provides a pollution propagation mode visual analysis method and system based on time sequence particle tracking. The pollution propagation mode visual analysis method includes the steps: firstly, meteorological factors are comprehensively considered, and a Runge-Kutta method is adopted to track the motion trails of air pollutant particles, and an air pollution propagation model is constructed, and a pollution source is inspected through MIC correlation, influence frequency and a conveying mean value; then the air quality feature vectors of the target station is clustered by adopting an SF-kmediods algorithm to extract a propagation mode; and finally, a visual analysis system including a map, a thermodynamic diagram, a radar map and other views is designed and achieved, and an air pollution propagation mode is explored from multiple perspectives, and an analyst is assisted in making a more reliable air joint treatment scheme.

Description

technical field [0001] The invention relates to a pollution propagation mode visual analysis method and system based on time series particle tracking. Background technique [0002] With the rapid development of economy and industrialization, the air quality in China is deteriorating rapidly. Air pollution has become one of the most serious environmental problems in China, and has attracted more and more attention and attention from the public and the scientific community. Air pollution can cause various respiratory diseases, increase the risk of traffic accidents, and reduce the competitive advantage of sustainable urban development. In order to improve air quality, researchers have conducted various studies on air pollution, and national and local governments have also enacted relevant laws and regulations. However, since the real pollution source has not been accurately detected, the time and space of the policy is not targeted enough, and the pollution situation is stil...

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): G06F16/904G06K9/62G06Q10/06G06Q50/26
CPCG06F16/904G06Q50/26G06Q10/0639G06F18/23213G06F18/217Y02A90/10
Inventor 张慧杰曲德展任珂吕程林小李吴奕瑶
Owner NORTHEAST NORMAL UNIVERSITY
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