![]() Only when an energy management system is designed, the different subsystems are related, but only connected through the building’s energy management system. Generally, each type of installation offers specific services: Heating Ventilation and Air Conditioning (HVAC) controls climate services, cameras and sensors offer security services, etc. Pre-existing buildings, however, do not usually have these systems. Energy management, security system, climate control and information services are the subsystems on which new smart facilities are implemented.īuilding 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. An experimental architecture based on embedded devices is described. This novel approach overcomes some drawbacks of existing designs related to interoperability and scalability of services. In this work, a method to design smart services based on the edge computing paradigm is analysed and proposed. 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. 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. Edge computing reduces the communications’ bandwidth needed between sensors and the central data centre. ![]() This paradigm is known as “edge computing” and it integrates IoT technologies and cloud computing systems. 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. These devices integrate a set of different sensors with connectivity, computing capacities and cost reduction. ![]() 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. ![]()
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