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
CN105740643AActive Publication Date: 2016-07-06HANGZHOU DIANZI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU DIANZI UNIV
Publication Date
2016-07-06

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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.
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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

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