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Precision Layered Mapping System for Pollution Concentration in the Automotive Field
CONAT10/CONAT20103015-Paper

Authors

Ciprian Pirna - University Transilvania Braşov
Simona Lache - University Transilvania Braşov

Abstract

Classic pollution monitoring systems usually include individual data collection and processing stations which take multiple readings of different chemical concentration values in the atmosphere. These stations can be standalone or networked. The purpose of a standalone pollution monitoring station usually is to monitor an urban crowded area, or a specific site of a certain importance. The collected data can be directly shown to the public either by relaying it to an electronic billboard type panel or by constantly relaying it to a web server, from where it can be freely accessed. Network pollution monitoring systems are specially designed to manage a whole network of geographical widespread sensors which give off readings on a whole area. This paper proposes a new approach in pollution monitoring systems, consisting in integrating GPS mapping technology in the classic pollution monitoring systems. By correlating precision spatial positioning telemetry provided by a GPS receptor, to the chemical concentration sensors, the newly developed system is able to accurately determine the relative concentration of different polluting agents in a given geospatial area. This is done by using a GIS type software which can be configured so that it operates on different levels, usually known as layers. A known raster type map of a certain section of the city can be regarded as one layer. Consequently, GPS data and sensor data can be viewed as different layers in this sophisticated map. This means that for the end user it would be possible to view on a single pictogram, buildings, streets, precision spatial data, and sensor data. As a result, it is possible to monitor temperature differences at the “borderline” between busy access ways and the relative usual environmental temperature. The GPS support comes in handy once again and it supports the spatial mapping of the environmental pollution temperature influence.

Keywords: Pollution, Network, GPS, Layer, Map

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