PeWeMoS - Pervasive Weather Monitoring System

Abstract

This paper presents a innovative system for weather monitoring using one device called WeBo, equipped with weather sensors and GPS, placed on buses ceiling to measure weather variables like humidity, temperature and air quality during the bus path. The weather variables are stored together with the latitude and longitude of the measure place and the exact time ofmeasurement.WeBo synchronize its data with all other WeBos met during the path due a Bluetooth radio. This same radio is used to upload the data when the bus arrives in the terminal to a server called TeCo. The data downloaded by TeCo is transmitted to a main server and processed by a system called SysCo.With the information captured by the buses during the day, SysCo can generate reports ofpoints in the city where the temperature is above the normal, andplaces where the air quality is inappropriate.

Real-Time Weather Monitoring and Prediction Using City Buses and Machine Learning

“…The mobile weather station is installed on the vehicle, constantly driving in a specific area to collect data and send the data to different receivers via wired or wireless technologies, which leads to a better balance of coverage than static observatories. In Foina et al [ 6 ], a city bus is applied as a mobile weather station to collect data through the path traveled by the vehicle. The system has three levels of interaction, the device integrated into the buses, terminal computer, and system computer.…”

“…The system has three levels of interaction, the device integrated into the buses, terminal computer, and system computer. Although the PeWeMos system [ 6 ] argues that it may monitor the very fine details and weather changes within the one area and provide very fine weather information and changes in even a sufficient amount of time, the interpretation of the sensed weather data and the cooperation of the buses, bus stops, and passengers for weather monitoring are not addressed. Hellweg et al [ 7 ] uses floating car data for road weather forecasts, which aims to increase the resolution of the weather observation network and the forecast model.…”

GSM Interaction Based Real Time Climate Change Monitoring Technique

“…The prediction of the climate conditions started officially since the nineteenth century, and subsequently is improved to measure and record data in reality with respect to a specific location, dominated by atmospheric circumstances. The term Weather Station System is denoted by WSS, considered the nominal strategy that measures the parameters of the climate conditions with respect to the dominations of the atmospheric conditions [1,2]. The atmospheric conditions might be encountered to dominate a specific location either in sea zones or in the land.…”