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RS-CPS: A distributed architecture of robotic surveillance cyber-physical system in the nature environment

机译:RS-CPS:自然环境中的机器人监视网络物理系统的分布式体系结构

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Modern nature surveillance systems are highly automated and require distributed architectures in order to increase understanding of the environment by integrating data from various monitors and sensors, which are mounted not only on fixed stations, but also on robotic actuators. In this paper, we propose a distributed architecture of robotic surveillance cyber-physical system (RS-CPS) in the nature environment, which is designed as integration of computation and physical processes. The RS-CPS system consists of five levels including smart connection, data-to-information conversion, cyber communication, cognition, and configuration. Based on this architecture, the nature risk such as wildfires, the activities of wild animals and the climate changes in plants can be constantly monitored by the cooperation of multiple agents such as autonomous UAVs, robotic pan-tilt-zoom cameras, forest infrared cameras, songbird acoustic recorders, GPS tracking collars and ecological factor sensors located in field. The experiments demonstrate the feasibility and effectiveness of the new architecture.
机译:现代自然监视系统是高度自动化的,需要分布式架构,以便通过集成来自各种监视器和传感器的数据来增加对环境的了解,这些监视器和传感器不仅安装在固定站上,而且安装在机器人执行器上。在本文中,我们提出了一种在自然环境中的分布式机器人监视网络物理系统(RS-CPS)的体系结构,旨在将计算和物理过程集成在一起。 RS-CPS系统包含五个级别,包括智能连接,数据到信息的转换,网络通信,认知和配置。在这种架构的基础上,野火,野生动物的活动和植物的气候变化等自然风险可以通过自动无人机,机器人水平倾斜变焦摄像头,森林红外摄像头,现场设有鸣禽声记录器,GPS跟踪项圈和生态因子传感器。实验证明了新架构的可行性和有效性。

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