Distributionally Robust Optimal Sensor Placement Method for Site-Scale Methane-Emission Monitoring

Distributionally Robust Optimal Sensor Placement Method for Site-Scale Methane-Emission Monitoring
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DOI:
10.1109/jsen.2022.3214176
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发表时间:
2022-12
影响因子:
4.3
通讯作者:
Yuan Zi;Lei Fan;Xuqing Wu;Jiefu Chen;Zhu Han
Yuan Zi;Lei Fan;Xuqing Wu;Jiefu Chen;Zhu Han
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Yuan Zi;Lei Fan;Xuqing Wu;Jiefu Chen;Zhu Han

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最近对确定性传感器放置优化技术的研究提高了在有限预算下监测大规模现场环境的能力。在传统的随机混合整数线性规划公式中,最小化检测时间的期望可以使检测器的位置具有良好的平均行为,但具有意外的最坏情况行为。复杂环境和传感器系统中的不确定性因素对随机规划(SP)所提供的布局策略的效果提出了极大的挑战。这些因素包括未知的泄漏率和位置、传感器延迟和风力条件的主要不确定性。本文介绍了一种分布鲁棒优化(DRO)方法,该方法在风力条件不确定的情况下,提高了传感器网络的检测鲁棒性。该方法通过特定地点甲烷排放情景的大气模拟进行了验证,该模拟捕获了部分自然风条件和排放特征。采用DRO技术确定传感器位置,以最大限度地减少排放情景的检测时间预期,并显著改善最坏情况的行为。实验结果表明,所提出的DRO方法优于基于SP的传感器放置方法。
Recent research in deterministic sensor placement optimization technologies has improved the capability of monitoring large-scale field environments with a limited budget. In traditional stochastic mixed-integer linear programming formulations, minimizing the expectation of detection time can lead to a detector placement with good average behavior but unexpected worst case behavior. The uncertainty factors in the complex environment and sensor system significantly challenge the effects of the placement strategy provided by stochastic programming (SP). These factors include unknown leakage rate and location, sensor delay, and primary uncertainty of wind conditions. This article introduces a distributionally robust optimization (DRO) formulation of sensor placement under the uncertainty of wind conditions and improves a sensor network’s detection robustness. The method is demonstrated using the atmospheric simulation with site-specific methane-emission scenarios that capture partial natural wind conditions and emission characteristics. DRO techniques are employed to determine sensor locations that minimize the detection time expectation of the emission scenarios with a significantly better worst case behavior. Experiment results show that the proposed DRO method outperforms the sensor placement methods based on SP.