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Locating Hazardous Chemical Leakage Source Based on Cooperative Moving and Fixing Sensors

机译:基于合作移动和固定传感器定位危险化学漏电源

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摘要

In dealing with sudden hazardous chemical leakage accidents, the key to solving the evacuation and transfer of personnel and important property is to determine the location of the leakage source and the information of the source strength to gauge the scope of the impact of leakage. The particle swarm optimization algorithm with an adaptive mutation factor is applied to the inverse calculation of leakage source strength to obtain the leakage source information, and the leakage source location problem is transformed into an optimization problem. The mobile sensor is then introduced into the fixed sensor network. The mobile sensor moving strategy based on an extended Kalman filter is proposed. The estimated value of the previous moment and the current time are used to update the estimation of the state variable, and then the mobile strategy is planned. The interference of the random error of the optimization algorithm on the path planning of the mobile sensor is reduced by introducing the optimized result memory and, thus, location efficiency is improved. Simulation results showed that the proposed method, which combines mobile with fixed sensors, greatly expanded the monitoring function of the network, reduced the number of fixed sensors, and enhanced the positioning accuracy.
机译:在处理突然危险的化学泄漏事故时,解决人员疏散和转移的关键和重要的财产是确定泄漏源的位置和源极化的信息,以衡量泄漏影响的范围。利用自适应突变因子的粒子群优化算法应用于漏源强度的逆计算以获得泄漏源信息,并且将泄漏源位置问题变换为优化问题。然后将移动传感器引入固定传感器网络。提出了基于扩展卡尔曼滤波器的移动传感器移动策略。前一刻和当前时间的估计值用于更新状态变量的估计,然后计划移动策略。通过引入优化的结果存储器,减少了在移动传感器的路径规划上的优化算法的随机误差的干扰,从而提高了位置效率。仿真结果表明,该方法与固定传感器相结合,大大扩展了网络的监控功能,减少了固定传感器的数量,增强了定位精度。

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