摘要
详细分析了传感器布局(SLP)的多种影响因素并给出相应的数学表达,在最大综合价值模型(MIVM)的基础上,给出了MIVM简化模型及其算法,并用于研究各因素对SLP问题的影响模式.数值实例结果表明,本简化模型能揭示SLP与影响因素之间的内在作用方式,能直观分析各因素对最优SLP问题的影响模式.通过各因素变化时最优SLP二维离散点的分布和运动趋势,揭示了各因素对最大综合价值和最优传感器个数的影响机理,从而当某影响因素变化时能给出相应的策略,使SLP时刻保持或趋向于最优状态.
The influence factors of sensor location problem （SLP） were proposed and their mathematical formulations were got. Based on maximum integration value model （MIVM）, the simple MIVM-based model and its algorithm were introduced to study the influence patterns for SLP. Numerical results show that the proposed model can illuminate the interaction of SLP and its influence factors, and it can intuitively analyze the influence pattern for those factors. According to the distribution and trend of those two-dimensional discrete points of the optimal SLP with some factor changing, the influencing mechanism between those factors with the maximum integrated value and the optimal sensor number was proclaimed, so the countermeasure could be proposed to keep the SLP with optimal status when some factor was changing.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2013年第8期1230-1237,共8页
Journal of Beijing University of Technology
基金
国家自然科学基金项目资助(61104164)
国家"863"高科技资助项目(2006AA11Z231)
北京市科技计划重点项目(D07020601400707)
关键词
交通工程
道路传感器
传感器布局
影响模式
traffic engineering
road sensor
sensor location
influence pattern
