Abstract
To quick customize and develop intelligent campus internet of things (ICIOT) system more efficiently, in this paper an approach based on runtime model to managing intelligent campus wireless sensor networks is proposed. Firstly, manageability of intelligent campus wireless sensors is abstracted as runtime models which automatically and immediately propagate any observable runtime changes of target resources to corresponding architecture models. Then, a composite model of intelligent campus wireless sensors is constructed through merging their runtime models in order to manage different kinds of devices in a unified way. Finally, a customized model is constructed according to the personalized management requirement and the synchronization between the customized model and the composite model is ensured through model transformation. Thus, all the management tasks can be carried through executing operating programs on the customized model. In the part of the teaching area schools conducted experiments and compared with the traditional method, this method can be more effective management of campus facilities, more energy efficient and orderly, which can reach a 16.7% energy saving.
Highlights
As the Internet of things, cloud computing, big data as a representative of a new generation of information technology have become increasingly mature and the field of education with intelligence technology, intelligent application, intelligent management, and other characteristics of the intelligent campus become the new hot spot
In intelligent campus Internet of things there are different types of application scenarios, sensing devices in different application scenarios corresponding to different objective things, so the connection between objective things in the scene and the sensor device needs to be established implementing the corresponding mapping relationship, even in the same application scenario, elements such as the management needs, the deployment environment, the sensing equipment, etc. may change during the long time running
The core of Intelligent campus is the Internet of wireless sensor network, various types of sensors providing data read in different ways, and at the same time, data from the sensing device is real-time with a large amount of data, a certain attribute of the specific device to the mapping of data, and you need to write a lot of conversion code [1], which brings the greater complexity to the access of the information
Summary
As the Internet of things, cloud computing, big data as a representative of a new generation of information technology have become increasingly mature and the field of education with intelligence technology, intelligent application, intelligent management, and other characteristics of the intelligent campus become the new hot spot. This method first constructs runtime model structure for different sensing equipment of intelligent campus, and based on the interface of equipment management in the model layer monitoring different sensing equipment is realized, the data synchronization between runtime model and gathering information maintained. In this article the method of combination is adopted on the basis of sensing device model in operation, reorganization and merger in the form of a portfolio model, to realize the unified management of different types of sensors, including model extraction and merging, and data synchronization
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