SemanMedical: A kind of semantic medical monitoring system model based on the IoT sensors

With the development of IoT technologies, more and more medial sensors have been used to monitor people´s health. In this paper, we design a kind of semantic medical monitoring system model in the cloud based on the IoT sensors. Lots of IoT sensors will accept the massive sensor data every time. All these massive sensor data will be stored in the HDFS and some information will be stored into the HUADING-S, a column-based database. All these HUADING-S data will connect to the medical rule engine. When the users´ or patients´ health indicators´ data is beyond the normal range, the medical rule engine will send the alert information to the users or patients. We design two algorithms: (1) massive semantic medical rules processing algorithm without external communication and (2) massive semantic medical rules processing algorithm with external communication. Our simulation experiment shows that the algorithm 2 will reduce the time cost a lot and improve the executive efficiency.