Research on the Generation Method of Spatiotemporal Link Sensor Data Based on Attribute Integrity

Abstract

Aiming at the problems of the incompleteness of attribute description for the raw Internet of Things (IoT) sensing observation data, as well as the isolation between linked sensor data, this paper realizes some corresponding improvements based on the existing link sensor data Construction methods. Firstly, the incompleteness of the observation properties' attribute description of the original IoT perception data is improved, so that to make the observation properties of the observation data completed, and then the link sensor data can be better generated. Moreover, we build the spatiotemporal correlation when the link sensor data was generated, with the purpose of forming interconnected and continuous linked sensor data. The precious medicinal materials are taken as instance research objects, and the observation data of sensing equipment is semantically linked with other fields' relevant data, so that to generate the continuous link sensor data about the precious medicinal materials. Moreover, by generating continuous link sensor data's change trend of the precious medicinal materials, to get reasonable control over the growth of precious medicinal materials and their environmental parameters. Thereby to improve the cultivation success rate of precious herbs and avoid unnecessary losses.