A Light-Weight Rule-Based Monitoring System for Web of Things

Sensors can sense different phenomena of the real world, such as environmental temperature, humidity and pressure, so they have wide applications in the fields of all kinds of sensing and monitoring. However, heterogeneous sensing devices, networks and data hinder the integration of the applications. Multi-source data fusion technology is used to monitor different environmental parameters by a variety of different types of sensors and then to process the different environmental parameters by the mathematical algorithm to judge the occurrence of some phenomenon. A large number of calculations are needed in the algorithm and different algorithms are used for the particular issues. The technology of Web of Things is used to shield the difference of the underlying sensing devices, networks and data by Web technology in order to provide a good platform for information integration. Based on this, a light-weight rule-based practical method is adopted to integrate the fine-grained multi-source data sensed under WoT platform into the high-level information, which can support multiple application scenarios at the same time and sends the procured information to the decision center by the real-time Web technology.