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Optimization of detection area for intelligent optical-fiber material

机译:智能光纤材料检测区域的优化

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Utility control decisions and corresponding control system for sensor network ensures the operational reliability of intelligent structure, while determine the sensitive area of sensor network affect effectiveness of network signal and correctness of covering location for sensor network. This paper propose granular computing method based on rough set, which is a good match for intelligent optical-fiber material used to detect sensitive areas. After studying fiber optic smart mezzanine sensing network, we obtained the sensitive area distribution and covering location for sensor network. Through the analysis to recognize that this method can not only detect sensitive areas, but also make sensor network signal simplified.
机译:传感器网络的效用控制决策和相应的控制系统确保了智能结构的运行可靠性,同时确定了传感器网络的敏感区域会影响网络信号的有效性和传感器网络覆盖位置的正确性。本文提出了一种基于粗糙集的粒度计算方法,该方法非常适合用于检测敏感区域的智能光纤材料。通过研究光纤智能夹层传感网络,我们获得了传感器网络的敏感区域分布和覆盖位置。通过分析认识到,该方法不仅可以检测敏感区域,而且可以使传感器网络信号简化。

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