Real Time Complex Event Processing and Analytics for Smart Building

Smart buildings equipped with sensors and electronic devices as a Cyber Physical Systems (CPS) offer great research perspective to explore communication, computation and controlling of physical devices by using real time Complex Event Processing (CEP) and analytics. Since, CPS like Smart-Building involves the integration of several types of equipment interoperability, maintainability, signaling, bandwidth, reliability, security, privacy, authentications, data storage, heterogeneity and cost effectiveness are the critical issues to be addressed. In addition, interactivity and dynamic feedback, context correlation with respect to streaming events and uncertainties in event composition are also identified as major challenging issues. To handle all these challenges integration of smart buildings with CEP and real-time data analytics are emerging as a new area of research. In the present research, a model for real time CEP and analytics have been proposed for Smart-Building at IIIT Allahabad, India. The research work includes background study, data collection, recognizing simple and complex events, stream processing, and automated construction of event definitions using machine learning, event-based real time decision-making and performance tests. The study includes deployment of various sensors and actuators for gathering smart building data. Raspberry Pi board is used to collect data from sensors and communicate the collected data to cloud for analytics. The research will also highlight the strength, weakness, and challenges addressed in the proposed system.