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为应用与试验空间信息与传感网相关教学中异构传感网信息资源的共享与可重用理论,设计与开发了传感网虚拟试验教学平台,提出了利用SensorML构建传感网信息模型的方法,分别为卫星传感、航空传感、地面传感和公众传感系统构建了教学模型实例。虚拟试验教学平台与教学模型以网络为传感网信息及其处理功能的载体,具有支持远程网络试验,不受时间、地域和设备等条件限制,可自定义和可扩展试验内容等特点。
In order to share and reusable theory of heterogeneous sensor network information resources in teaching related to experimental spatial information and sensor networks, a virtual experiment teaching platform for sensor network is designed and developed. A sensorML-based information model is proposed Method, respectively, for the satellite sensor, air sensor, ground sensing and public sensing system to build a teaching model example. Virtual Experiment Teaching Platform and Teaching Model With the network as the carrier of the sensor network information and its processing functions, it has the characteristics of supporting remote network tests, being free from the limitation of time, area and equipment, and customizable and scalable test contents.