IBFRAME: IoT Data Processing Framework for Intelligent Building Management

Abstract

With the development of Internet of things (IoT) technology and the increasing demand for building energy management, many buildings are adopting intelligent building management systems based on IoT devices. The intelligent building management system not only collect large amounts of real-time data from IoT devices, but also require data analysis to monitor building environment. This paper proposes a data processing framework for IoT-based intelligent building management (IBFRAME). The proposed framework aims to provide data collection, monitoring, processing, routing, and analytics services to support a variety of intelligent building applications. In this framework, an ingress router converts and forwards incoming data to application servers and data processors. To monitor building environment, data enrichers analyze thermal comfort and occupancy detection in each space of the building based on IoT sensor data, such as temperature, humidity, and CO 2 concentration. Data collectors of the framework gather different types of data from external data sources, such as weather databases and energy meter devices. This framework is used as the foundation for processing and analyzing IoT data in intelligent buildings, and designed to facilitate module extension. It supports the implementation and operation of diverse intelligent building application services. This paper also discusses the structure of the system that is built and operated based on the proposed framework. The system adopts a container-based time series database, which specializes in massive time series data processing, as a data management system.