Urban air quality grade predicting method based on multi-field characteristics

A technology for air quality classification and prediction method, applied in the field of air quality prediction, can solve the problems of moderate pollution, heavy pollution, unsuitability, etc., to ensure global convergence, ensure super-linear convergence speed, overcome marker bias and conditional independence hypothetical effect

CN104200103AInactive Publication Date: 2014-12-10ZHEJIANG HONGCHENG COMP SYST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2014-12-10
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to an urban air quality grade predicting method based on multi-field characteristics. The method comprises a data preprocessing stage, a training stage and a predicting stage. In the data preprocessing stage, mesh generation is carried out to obtain a training sample, and a training data set is obtained. In the training stage, the optimal parameter of a conditional random field model is estimated, an optimal model shown in the specification is obtained, and the conditional random field model is output. In the predicting stage, the maximum output sequence, shown in the specification, of the conditional probability P(Y / X<f>) is obtained by combining the viterbi algorithm and the conditional probability model shown in the specification and obtained in learning of the training stage, and a prediction result is output. The AQI grade can be predicted more accurately, the AQI grade prediction in the following time quantum of all stations is carried out, and the requirement for selecting the time quantum with the high air quality to go out and take activities of people is met.
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Description

technical field

[0001] The invention relates to a method for predicting city AQI grades, in particular to a method for predicting AQI grades of air quality monitoring stations based on multi-field features. Background technique

[0002] Air is a substance that the living things on the earth depend on for survival, and it is an essential substance. Ambient air quality is closely related to people's daily life, and it also plays an important role in the comprehensive evaluation of urban environment. However, with the development of human civilization and economy, air pollution is becoming more and more serious. How to improve air quality and reasonably predict and warn air environment quality is becoming more and more important. According to air quality prediction, people can take corresponding measures such as wearing masks, Try to avoid going out, etc., and protect yourself from air pollutants.

[0003] Traditional air quality prediction methods generally only consider the...

Examples

Embodiment

[0033] Embodiment: the present invention proposes the AQI grade prediction method based on multi-field feature, and flow process is as figure 1 shown. The method is divided into three stages: data preprocessing, training and prediction. Among them, the data flow in the preprocessing stage is represented by a dotted line, the data flow in the training stage is represented by a dotted line, and the data flow in the prediction stage is represented by a solid line.

[0034] The process of data preprocessing stage is as follows: figure 2 As shown, its main steps include:

[0035] 1) For a certain city, collect historical and real-time data and meteorological forecast data for a certain period of time in the future in multiple fields that affect air quality, such as meteorology, traffic, air pollutants, etc.;

[0036] 2) Divide city a into disjoint grids, each grid g=g.wxg.h has the same length g.w and width g.h, use g. c Indicates the center point of the grid g. use g a (w, ...