TY - A2的太阳,Gengxin AU -罗,Xuemei盟——你们Jianrui盟——周,帮派盟——咦,道PY - 2022 DA - 2022/10/06 TI -可靠性分析的多传感器融合技术在灾害护理应用SP - 6564235六世- 2022 AB -各种自然灾害的危害和影响越来越明显。由于自然灾害和意外高信息共享的效率低,我们的压力系统仍将无法应对灾害。因此,面对当前复杂的自然环境和灾害的多样性,我们迫切需要一个实际的和全面的在线协作自然灾害防护系统。因此,本文提出一种灾难保护应用系统基于多传感器信息融合算法。首先,自然灾害防护系统的软件平台构建了基于多传感器;灾难多传感器采集的硬件平台设计。一个基于联合卡尔曼滤波器的信息融合算法。联合滤波器的主要问题是:(1)提高过滤精度,(2)提高滤波器的容错性能,和(3)优化的融合算法和减少计算和数据通信,便于算法的实时实现。结合DS证据理论、BP神经网络和支持向量机制,建立一个全面的诊断模型。初步诊断结果的模型使用BP神经网络和支持向量机进行DS证据理论的双酚a,避免了人工操作造成的失明。 The simulation results show that the comprehensive diagnosis model can significantly improve the prediction accuracy of disasters, solve the uncertainty and fuzziness of diagnosis results of a single diagnosis model, and provide a new method for disaster protection. The results of the BP neural network in the disaster nursing system are fused at the decision level, the results show that the distribution probability corresponding to the fusion disaster category is greater than the threshold value of 0.8, and the diagnosis result can be given immediately. The diagnosis result is completely consistent with the actual disaster category. SN - 1687-725X UR - https://doi.org/10.1155/2022/6564235 DO - 10.1155/2022/6564235 JF - Journal of Sensors PB - Hindawi KW - ER -