Abstract
Advances in embedded systems, based on System-on-a-Chip (SoC) architectures, have enabled the development of many commercial devices that are powerful enough to run operating systems and complex algorithms. These devices integrate a set of different sensors with connectivity, computing capacities and cost reduction. In this context, the Internet of Things (IoT) potential increases and introduces other development possibilities: “Things” can now increase computation near the source of the data; consequently, different IoT services can be deployed on local systems. This paradigm is known as “edge computing” and it integrates IoT technologies and cloud computing systems. Edge computing reduces the communications’ bandwidth needed between sensors and the central data centre. Management of sensors, actuators, embedded devices and other resources that may not be continuously connected to a network (such as smartphones) are required for this method. This trend is very attractive for smart building designs, where different subsystems (energy, climate control, security, comfort, user services, maintenance, and operating costs) must be integrated to develop intelligent facilities. In this work, a method to design smart services based on the edge computing paradigm is analysed and proposed. This novel approach overcomes some drawbacks of existing designs related to interoperability and scalability of services. An experimental architecture based on embedded devices is described. Energy management, security system, climate control and information services are the subsystems on which new smart facilities are implemented.
Highlights
Building automation systems use open communication standards and interfaces that can integrate a wide choice of different building control disciplines such as heating, ventilation, air conditioning, lights and blinds, safety features, and equipment
This paper proposes to use the edge and fog computing paradigms deployed in Internet of Things (IoT) technologies with two main aims: 1. To facilitate the integration of new intelligent and interoperable services in automated and non-automated buildings
Edge computing emerges as a computing paradigm to perform computations near to the data generated by the IoT devices
Summary
Building automation systems use open communication standards and interfaces that can integrate a wide choice of different building control disciplines such as heating, ventilation, air conditioning, lights and blinds, safety features, and equipment. The energy management services are centralised in specialised software. Automated buildings integrate software for control and data acquisition with industrial protocols and interfaces. Integrating new services into this type of solution is not easy. It depends on the installed software’s development. These industrial developments offer cloud-connected solutions and intelligent services for energy management. These services are developed in centralised computer systems. This paper proposes to use the edge and fog computing paradigms deployed in Internet of Things (IoT) technologies with two main aims: 1. To facilitate the integration of new intelligent and interoperable services in automated and non-automated buildings (integration)
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