对一种无人机甲烷泄漏巡检平台适用性的研究

针对一种无人机甲烷泄漏巡检平台,设计测试该平台稳定性、指向性以及甲烷遥测仪性能的实验,对其总体性能适用性进行研究。结果表明无人机悬停模式具有较好的稳定性,不同悬停高度下最大漂移距离平均值小于1.08 m,且指向性较为准确,连续控制云台俯角下测试结果相对误差小于5%,不同控制云台俯角下最大漂移距离平均值小于2.02 m。甲烷遥测仪最远探测距离大于100 m,在悬停和巡航测试下对不同浓度甲烷标准气体具有较高灵敏度。     

An improved grey wolf optimizer algorithm for identification and location of gas emission

Identification of the leakage of hazardous gases plays an important role in the environment protection, human health and safety of industry production. However, lots of current optimization algorithms, such as particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO), suffer from poor global optimization capability and estimation accuracy. In this work, a hybrid differential evolutionary and GWO (DE-GWO) algorithm is proposed. Tested by simulation cases and Prairie Grass emission experimental data, DE-GWO shows higher estimation accuracy than GWO. Compared with the other four optimization algorithms, DE-GWO exhibits finer robust stability under different population sizes, fewer iterations, as well as higher estimation accuracy with fewer search agents. Importantly, simulation results demonstrate that DE-GWO is more suitable to apply in the scene with a small number of sensors. Therefore, the proposed in this paper outperforms other optimization algorithms for the gas emission inverse problem. DE-GWO can provide reliable estimation towards gas emission identification and positioning, which shows huge potential as the data analysis module of real-time monitoring and early warning system.     

Quantifying the probability of detection of wild ungulates with the Judas technique

The Judas technique is often used in control or eradication of particular vertebrate pests. The technique exploits the tendency of individuals to form social groups. A radio collar is affixed to an individual and its subsequent monitoring facilitates the detection of other conspecifics. Efficacy of this technique would be improved if managers could estimate the probability that a Judas individual would detect conspecifics. To calculate this probability, we estimated association rates of Judas individuals with other Judas individuals, given the length of time the Judas has been deployed. We developed a simple model of space-use for individual Judas animals and constrained detection probabilities to those specific areas. We then combined estimates for individual Judas animals to infer the probability that a wild individual could be detected in an area of interest via Judas surveillance. We illustrated the method by using data from a feral goat eradication program on Isla Santiago, Galápagos, and a feral pig eradication program on Santa Cruz Island, California. Association probabilities declined as the proximity between individual areas of use of a Judas pair decreased. Unconditional probabilities of detection within individual areas of use averaged 0.09 per month for feral pigs and 0.11 per month for feral goats. Probabilities that eradication had been achieved, given no detections of wild conspecifics, and an uninformative prior probability of eradication were 0.79 (90% CI 0.22–0.99) for feral goats and 0.87 (90% CI 0.44–1.0) for feral pigs. We envisage several additions to the analyses used that could improve estimates of Judas detection probability. Analyses such as these can help managers increase the efficacy of eradication efforts, leading to more effective effects to restore native biodiversity.     

城市供水管网抗震功能可靠度分析

介绍了供水系统功能分析中的经验渗漏模型,在此基础上给出了一个新的改进算法。将建议模型与供水系统水力分析方法相结合,并引入一般结构分析中的一次二阶矩方法,提出了一类求解供水网络节点及系统功能可靠度的方法。对一典型供水管网进行了流分析,将建议模型计算所得结果与常规渗漏模型进行了比较,结果说明建议模型可行,计算结果合理可信。     

异常环境下要害系统确信安全评估方法

目的 获得异常环境下的要害系统确信安全评估(PLOAS)建立评估方法和技术框架,为要害系统安全性设计和安全防护决策提供科学支撑.方法 基于要害系统在异常环境条件下结构响应行为机制,以表征安全性的响应特征参数为对象,融合试验、数值仿真等技术手段以及代理模型构建等不确定性分析方法,通过定量计算安全特征参数未达到失效阈值的概...