Sensor readings for ambient control in academic facilities

Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms.

学术空间作为一种促进学生学业表现的环境，其优越性不仅体现在设备质量上，更在于其可调节的舒适度条件，这些条件可通过接收传感器数据的执行器进行调控。类似的观点亦适用于其他环境，如家庭、商务或工业环境。然而，传感器设备可能会在短时间内出现故障或产生不准确的数据读取，从而影响控制机制。环境变量之间的相互关系可作为知识来源，以预测传感器失效时的变量。此外，这些变量与学生随时间占用空间的关系亦蕴含了预测所需的充足情境知识。本数据集提供了不同学术空间内传感器随时间的变化读数。