Self-adaptive PM<2.5>concentration speculating method based on city region grid

An urban area, self-adaptive technology, applied in the direction of measurement devices, biological neural network models, special data processing applications, etc., to achieve the effects of reducing computational complexity, improving urban environmental quality, and strong scalability

Active Publication Date: 2016-07-06
HANGZHOU DIANZI UNIV
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the lack of existing urban grid division and the traditional monitoring of PM 2.5 Concentration shortcomings, combined with sensor networks, data mining and other technologies, proposed a PM based on grid adaptation in urban areas 2.5 Concentration estimation method

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
  • Self-adaptive PM&lt;2.5&gt;concentration speculating method based on city region grid
  • Self-adaptive PM&lt;2.5&gt;concentration speculating method based on city region grid
  • Self-adaptive PM&lt;2.5&gt;concentration speculating method based on city region grid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with accompanying drawing.

[0043] Such as figure 1 As shown, a PM based on urban area grid adaptation 2.5 The specific steps of the concentration estimation method are:

[0044] Step (1), urban area gridding, and urban PM collection 2.5 Raw data. Such as figure 2 As shown, the urban area is divided into an initial resolution grid of 500m*500m, and the PM is installed on the roof 2.5 The taxis of the collection equipment randomly drive on urban roads, and collect PM in urban areas 2.5 Concentration data, and transmit the real-time collected data to the server through General Packet Radio Service (GPRS). The circle grid in the figure represents the grid covered by the vehicle, that is, PM 2.5 A grid of raw data.

[0045] Step (2), grid resolution standardization. The method of the present invention defines 4 grids with different resolutions, namely 1000m*1000m, 500m*500m, 250m*250m, 125m*125m, a...

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 relates to a self-adaptive PM<2.5> concentration speculating method based on city region grids.The self-adaptive PM<2.5> concentration speculating method includes the steps that a city region is gridded, original PM<2.5> concentration data is collected through a taxi, the standard is set, the grid resolution is standardized, and the corresponding relationships between the grid resolution refining grade and the grid characteristics are trained in an off-line mode through the extracted grid characteristics; when the city concentration is speculated in real time, the resolution ratio adjusted by the grids is calculated through the extracted real-time grid characteristics and an extracted training model, the grids are newly divided, the PM<2.5>concentration data of all the grids is speculated through a linear regression model, and a PM<2.5> concentration data distribution diagram of the city region is obtained.The self-adaptive PM<2.5> concentration speculating method system is high in expandability and accuracy and small in calculated amount, reference is provided for the resident trip activity, administrative departments are assisted in finding pollution sources, and the city environment quality is improved.

Description

technical field [0001] The invention relates to sensor network technology, computer application technology and data mining technology, and is an adaptive PM based on urban regional grid 2.5 Concentration estimation method. Background technique [0002] PM 2.5 It is considered to be the pollutant that has the greatest impact on public health and the environment, especially in large cities in developing countries like Beijing. 2.5 hazards. Due to the complex urban structure and diverse urban functional zones, conventional monitoring stations monitor PM 2.5 methods simply cannot tell urban residents the real-time and accurate PM 2.5 concentration. [0003] In recent years, many scholars have attempted to provide a finer-grained urban pollutant concentration distribution, and they will PM 2.5 The collection device is installed on the top of the bus or taxi, allowing the vehicle to collect urban PM autonomously in real time 2.5 Data, combined with machine learning, data mi...

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): G06F19/00G06N3/02G06F17/10
CPCG01N15/06G06F17/10G06F2219/10G06N3/02G16Z99/00
Inventor 戴国骏郭鸿杰张桦吴以凡仇建
Owner HANGZHOU DIANZI UNIV
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