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针对激光传感网络节点能耗不均匀,故障信号特征无法统一的问题,提出一种改进碰撞理论的激光传感网络异常故障特征检测技术,构建激光传感网络的拓扑结构及节点分布模型,引入碰撞思维进行激光传感网络异常特征的观测向量特征统一化衡量,对在重构的观测向量特征空间提取激光传感网络统一化的异常特征,实现对激光传感网络异常特征的准确检测和定位。最后采用实验进行性能测试,结果表明,采用本文方法进行激光传感网络异常特征检测的准确概率较高,虚警概率较小,提高了激光传感网络故障的诊断分析能力。
Aiming at the problem of uneven energy consumption and fault signal characteristics in laser sensor network, a new detection technique of laser fault characteristics based on collision theory is proposed. The topology and node distribution model of laser sensor network are constructed. Collision thinking of laser sensor network anomaly characteristics of the observation vector feature unified measurement, the reconstructed feature vector space to extract the laser sensor network unified anomaly characteristics, to achieve the laser sensor network anomaly characteristics of accurate detection and positioning . Finally, the performance test is carried out by experiments. The results show that the method proposed in this paper has higher accuracy probability and smaller false alarm probability, which improves the ability of diagnosing and analyzing laser sensor network faults.