About this Research Topic
The emergence of Internet of Things (IoT) technology looks set to transform the field of built environment. Smartwatches, for example, have shown the ability to provide a rich set of thermal comfort data about a building’s occupant and transmit it wirelessly to control the building’s HVAC systems. Moreover, Smart micro-electro-mechanical systems (MEMS) have been deployed to measure all type of indoor environment conditions (indoor air quality, temperature, humidity, and radiant temperature). However, like any new technology, there is a significant risk that the transformation is slow and will not reap the maximum potential benefit. Thus, the aim of this Research Topic is to address the hurdles of adopting IoT devices (such as wearable devices and smart MEMS devices) for improving buildings’ performance and building occupants’ comfort and to improve the safety of these buildings.
The challenges to be addressed by this Research Topic include, but are not limited to:
(1) The dynamic complexity of a building environment: it is well known that a building has very complex dynamics (thermal loads, thermal comfort, occupant occupancy, etc.). This complexity makes it hard for the use of IoT devices data to understand these dynamics in order to control and improve the performance of a building. In this regard, papers that discuss air quality and comfort (thermal, visual, acoustic etc) prediction and modeling and occupancy detection, for example, using IoT devices are very much encouraged.
(2) The need for an innovative framework to integrate IoT devices with existing buildings systems control and sensors.
(3) With the potential of enormous data to be generated from IoT devices in buildings, there is a need for intelligent hardware and processing capabilities to process and make use of this data. In particular, this demand is even greater when the applications require computations in real time.
(4) Privacy risk concern.
(5) The need for very compact, low powered, sensitive and cheap methods of sensing biological and environmental activities in a smart building using multi-functionality MEMS smart sensors.
(6) The need for connected Structural Health Monitoring (SHM) systems to predict the integrity of buildings due to damages or seismic activities.
Keywords: Wearable Device, MEMS, Machine Learning, IoT, Internet of Things, Smart Technology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.