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Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City by Kumar, Shashi Shekhar; Chandra, Ritesh; Agarwal, Sonali is a scholarly article available to read on EtoBox.

What is Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City about?

In recent years, smart city-based development has gained momentum due to its versatile nature in architecture and planning for the systematic habitation of human beings. According to World Health Organization (WHO) report, air pollution causes serious respiratory diseases. Hence, it becomes necessary to real-time monitoring of air quality to minimize effect by taking time-bound decisions by the stakeholders. The air pollution comprises various compositions such as NH3, O3, SO2, NO2, etc., and their concentrations vary from location to location.The research work proposes an integrated framework for monitoring air quality using rule-based Complex Event Processing (CEP) and SPARQL queries. CEP works with the data stream based on predefined rules to detect the complex pattern, which helps in decision support for stakeholders. Initially, the dataset was collected from the Central Pollution Control Board (CPCB) of India and this data was then preprocessed and passed through Apache Kafka. Then a knowledge graph developed based on the air quality paradigm. Consequently, convert preprocessed data into Resource Description Framework (RDF) data, and integrate with Knowledge graph which is ing

Author

Kumar, Shashi Shekhar; Chandra, Ritesh; Agarwal, Sonali

Published

2024

Language

EN