一种基于实时几何测距的船桥主动防撞方法

本文提出一种基于实时几何测距的船桥主动防撞方法。该方法对船的改动量甚微,仅需维持多项距离矩阵,通过告警逻辑矩阵进行展示与告警,能起到很好的船桥防撞提示效果。     

基于归一化水体指数及其阈值自适应算法的水体遥感反演效果分析

归一化水体指数（NDWI）是水体遥感反演的一种重要指标，其阈值及修正直接影响反演结果的精度。基于Landsat-8与GF-1光学多光谱影像，使用归一化水体指数法阈值0（TH₀）、最大类间方差法（OTSU）自适应阈值（TH_otsu）与均值漂移聚类算法（Mean-Shift）自适应阈值（TH_MS）分别对典型正常水体、云雾覆盖水体、富营养化水体、高含泥沙水体进行水体遥感提取与效果分析，结果表明：正常水体以TH₀为阈值提取精度最高，THMS提取精度次之，TH_otsu提取精度最差；而云雾覆盖水体、富营养化水体以及含泥沙水体使用THMS提取精度最高，尤其少量云雾覆盖下的水体，TH_MS具有更明显的优势，TH₀提取精度次之，TH_otsu提取精度最差；对于不同的阈值，Land?sat-8比GF-1总体表现出更高的水体提取精度。Mean-Shift算法应用于NDWI阈值修正与水体遥感反演具有快速、水质适应性强、效果稳定的优势，对尤其是复杂条件下的水体信息遥感反演具有较好的提取效果。     

公民水素养评价表征因素模型构建与分析

针对我国水资源紧缺、水生态损害、水环境污染等相关水问题,以提升全民爱水惜水节水护水的意识和能力为目标,从水素养概念出发,通过扎根理论质性研究方法对公民水素养评价的表征因素进行筛选和提炼,最终得出包含水知识、水态度、水行为为主范畴的10个表征因素并运用解释结构模型(ISM)深入剖析各因素之间的内在联系。在此基础上建立了3级多层次递阶结构模型,进一步精确描述系统各要素两两之间的直接关系。结果表明:公民水素养评价的表征因素自上而下形成了表象层、中间层和根源层等3个层级,可直观、清晰地反映表征因素之间的递阶、层级关系;水态度在各表征因素中具有调节作用以及各表征因素之间存在内在逻辑关系。研究成果为提高公民水素养水平提供一定的科学依据和政策参考。     

多机器人体间动态碰撞检测方法仿真研究

当前多结合包围求碰撞检测法、Average-Case法、K-DOPs法等实现多机器人体间动态碰撞的检测,均存在寻优性能较差、检测效率较低的问题。为此提出一种基于动态粒子群的多机器人体间动态碰撞检测方法。采用OBB层次包围盒方法,缩小多机器人之间需要动态碰撞检测的区域,同时把动态碰撞检测问题转换为物体特征对间距离机制的非线性优化问题,进而构建层次拓扑框架进行局部碰撞检测,将机器人体引入到粒子群算法中建立混合进化算法,找到动态碰撞检测的最优解,实现多机器人体间动态碰撞检测。仿真结果证明,所提方法的检测效率高达96%,且具有较高的寻优性能。     

宁夏红寺堡盆地隐伏古隆起成因机制及其对区域沙漠化的影响

目前对于青藏高原东北缘活动构造研究多集中于活动断裂带的活动性,而对夹持于其间的沉积盆地构造格架及活动性研究甚少。以夹持于烟筒山断裂与牛首山—罗山断裂之间的宁夏红寺堡盆地为研究对象,采用重力资料重处理解译、音频大地电磁测深(AMT)和地震勘探相结合,揭示红寺堡盆地隐伏构造特征,并进一步采用盆山一体化思路分析隐伏构造的成因机制及其对区域沙漠化的控制作用。结果表明:青藏高原在中新世末发生强烈的NE向推挤、扩展和隆升,红寺堡盆地由坳陷盆地转变为挠曲盆地; 在青藏高原NE向扩展的影响下,烟筒山断裂发生强烈的逆冲作用,古生代—中生代基底逆冲于古近系—新近系之上,受构造变形影响的最新地层为中新统彰恩堡组; 红寺堡盆地内的隐伏古隆起呈NW—SE向,与烟筒山构造带具有相同的构造动力学背景,受青藏高原NE向扩展影响形成于中新世末,并且至今仍具有活动性; 隐伏古隆起周缘断裂的活动破坏了地表稳定性、蓄水能力和地表植被,导致区域沙漠化呈现有规律的NW—SE向带状展布。该研究成果对于宁夏红寺堡盆地区域稳定性评价及沙漠化的综合治理具有现实指导意义。     

Governance of institutional complexity in megaproject organizations

A significant research gap exists in our understanding of how to govern institutional complexity in megaproject organizations. In this paper, we conduct a case study of the Hong Kong-Zhuhai-Macao Bridge project in order to elaborate on whence institutional complexity emerges and how institutional complexity affects project outcomes and shapes actors' behaviors. We find that institutional complexity stems from both external (macro-level) environments and internal actors (micro-level environments), and consists of regulatory, political, and social complexity and cultural, evolutionary, and relational complexity, respectively. In addition, we find that institutional complexity from the macro environments will result in constraint conflicts in megaproject organizations, whereas the different practices and identities of the project's various micro-actors will create organizational conflicts. We also find that actors within the megaproject organizations choose different responses when faced with different types of institutional complexity. Our approach offers conceptual refinements and a new sensitizing framework for guiding studies of how, in practice, to govern institutional complexity of megaproject organizations.     

矿业企业社区关系研究：矿地责权利分析与矿地关系的表达

矿业企业与当地居民的矛盾由来已久,而目前针对我国矿业企业与社区关系的研究大多集中在矿业企业社会责任的理论研究和绿色矿山和谐社区建设方面,对于我国所面临的日趋尖锐的矿业企业社区关系问题的研究较少,没有形成成熟的理论体系和实践模型来指导实践。本文确立了矿业企业和社区的权利责任框架以及自然环境、经济利益、管理体系、社区参与、当地文化五个指标；构建了矿地和谐雷达图和矿地和谐曲线,直观地表达矿地和谐的程度,客观全面、简洁实用反映矿业社区发展的实际情况,探索了矿业社区建设中矿地双方的权利责任关系,揭示了其中存在的问题与规律。     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

1 000 MW核电汽轮机低压内缸3D建模与轴封变形分析

对某1 000 MW核电汽轮机低压内缸进行了三维建模,并进行有限元分析,计算了稳定运行工况下,负荷、上下缸温差以及抽真空过程对轴封变形的影响。计算结果表明:在温度、压力的综合作用下,并受汽缸变形影响,轴封变形膨胀,向内倾斜。其中低压内缸内外压差是造成轴封向内倾斜的主要原因,同时上下缸温差也是造成轴封内倾的原因之一。汽缸受热膨胀会减轻轴封的向内倾斜程度。     

Cyanex 272萃取分离硫酸钴溶液中镍钴的试验研究

采用Cyanex 272萃取剂从硫酸钴溶液中分离去除镍,在有机相组成为25%Cyanex 272+75%航空煤油(用30%NaOH皂化,皂化率75%)、萃原液pH值4.5～5.0、温度25～35 ℃、相比1.5～2条件下,经5级逆流萃取,混合萃取时间5 min,然后用1 mol/L硫酸溶液4级反萃取获得反萃取液,钴直收率达99.86%,Ni去除率达95.20%,钴镍分离效果较好。反萃取后的硫酸钴溶液中杂质含量很低,Co/Ni比达368 95,可以满足生产精制CoSO₄·7H₂O和电钴的要求。