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作 者:易均[1] 张苗辉[1] 鹿安 于一尊[1] 李晖[1] YI Jun;ZHANG Miaohui;LU An;YU Yizun;LI Hui(Jiangxi Academy of Sciences,330096,Nanehang,PRC;Chongqing Academy of Metrology and Quality Inspection,401121,Chongqing,PRC)
机构地区:[1]江西省科学院,南昌330096 [2]重庆市计量质量检测研究院,重庆401121
出 处:《江西科学》2018年第5期871-873,883,共4页Jiangxi Science
摘 要:通过无线传感器网络来检测气体浓度,采用基于湍流扩散理论的烟羽模型,得到气体浓度表达式。传感器检测到的浓度,通过偏差平方和来得到需要的目标函数,计算传感器测量值与真实值的误差平方和,并利用优化的粒子群算对目标函数求解,得到定位结果和环境信息。在不增加检测手段的情况下,对风速和风向进行在线估计,提高气源定位的鲁棒性和准确性。The gas concentration is detected by the wireless sensor network, and the smoke density model based on the turbulent diffusion theory is used to obtain the gas concentration expression. The concentration detected by the sensor is obtained by the sum of squared deviations to obtain the required objective function,the sum of the squares of the error between the measured value and the true value of the sensor is calculated, and the objective function is solved by the optimized particle swarm calculation to obtain the positioning result and the environmental information. The wind speed and wind direction are estimated online without increasing the detection means, which improves the robustness and accuracy of the gas source location.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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