Location and location method of air quality monitoring equipment based on road-section pollution similarity

Abstract

A method for location selection of air quality monitoring equipment based on road section pollution similarity of the present invention comprises the following steps, constructing a graph convolutional network model, utilizing the driving trajectory of motor vehicles in the urban road network, and combining the topological connectivity of urban road structures, Obtain K exhaust pollution categories of urban road network roads; calculate the distribution information entropy of the roads in each category according to the exhaust pollution categories of the roads, and mark the construction priority, so as to select the appropriate point. The invention introduces a graph convolutional network, combines the topological connectivity of roads, and integrates external factors, such as meteorological conditions, POIs distribution of interest points, etc., so as to extract spatial features. The invention makes full use of the topological structure information of the traffic road network and the road connection information, and combines the easily obtained external traffic information to obtain the layout priority of the road section and provide the recommendation of the layout points for the supervision department, and has strong applicability.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to a method for selecting locations of air quality monitoring equipment based on road section pollution similarity. Background technique [0002] Accurately predicting the distribution of air quality in urban areas is of great significance for government environmental governance and people's daily health prevention. The location selection of monitoring equipment is the premise of urban air pollutant prediction. How to use a small amount of monitoring equipment to accurately predict the air quality of the entire city depends on whether the distribution of monitoring equipment is reasonable. [0003] Over the years, the research on site selection and distribution mainly uses mathematical models and physical knowledge to solve the site selection problem through calculation and simulation. These methods are determined by a series of optimization techniques, including t...

AI Technical Summary

Problems solved by technology

In order to achieve a steady state, the simulation process not only requires complex system programming, but also consumes a lot of computing power, and the unrealistic assumptions and simplifications in the modeling will further reduce the efficiency of the model; in addition, these methods generally ignore the urban area. Road network topology and some external factors related to air quality distribution

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