1. Real-Time Automatic Air Pollution Services from IOT Data Network
- Author
-
Irene Paoli, Angelo Difino, Michela Paolucci, Paolo Nesi, Daniele Cenni, Stefano Bilotta, and Claudio Badii
- Subjects
Pollution ,Computer science ,Process (engineering) ,media_common.quotation_subject ,Real-time computing ,Air pollution ,medicine.disease_cause ,Grid ,Data flow diagram ,Smart city ,medicine ,Data analysis ,Early warning system ,Routing (electronic design automation) ,Air quality index ,media_common ,Interpolation - Abstract
In recent years, there is an increasing attention on Air Quality and derived services. In most cases, the main objective consists in providing services independently on the number of sensors, and on any position of the users. On the other hand, sensors are collected in limited positions, then a dense grid is computed to satisfy the needs of services such as: conditional routing, alerting on data values for personal usage, general heatmap production for Dashboards in control room of the operators, and for web and mobile applications for the city users. The paper formalizes the development process and describes how it is possible to automatically integrate Data Analytics in data flow real time processes, called in the paper IoT Applications. Two interpolation methods have been compared and validated in order to assess the accuracy. Interpolation errors trends have been used to detected devices' dysfunctions on sensors. The specific case presented in this paper refers to the data and the solution of Snap4City for Helsinki. Snap4City (https://www.snap4city.org) has been developed as a part Select4Cities PCP of the European Commission, and it is presently used in a number of cities and areas in Europe.
- Published
- 2020