Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.     

桥梁深水钻孔灌注桩施工技术

随着大型跨海、跨江桥梁的相继建设,桥梁跨度越来越大,对基础的要求也越来越高,超长、大直径的钻孔灌注桩已被广泛应用于大型深水桥梁建设中。结合工程实例,介绍大型桥梁深水钻孔灌注桩施工技术及其施工过程中的关键控制要点。     

Host specificity in copepod parasites of deep-sea fishes

Parasitic copepods belonging to two orders, Siphonostomatoida and Poecilostomatoida, are frequently reported from fish hosts in the deep sea. Three families of copepods are most commonly encountered, Sphyriidae, Lernaeopodidae and Chondracanthidae, but members of another four families, Hatschekiidae, Pennellidae, Philichthyidae and Hyponeoidae, are occasionally recorded. These parasites utilise various deep demersal fishes as hosts, especially species of the most abundant families, Macrouridae, Moridae, Synaphobranchidae and Alepocephalidae. Host specificity levels are variable, as for shallow-water fishes. In contrast, few parasites are regularly reported from fishes inhabiting the pelagic water column away from the bottom and away from the near-surface zone. Only the pennellids Sarcotretes scopeli and Cardiodectes medusaeus appear common on pelagic fishes, in the Atlantic and Pacific respectively. Host specificity levels in these two pennellid species are relatively low. It is speculated that the difficulty of encountering a host in the vast pelagic biome has restricted the diversity of parasitic copepods that have successfully colonized pelagic fishes.     

A methodology for identifying similar days in air traffic flow management initiative planning

This article describes a methodology for selecting days that are comparable in terms of the conditions faced during air traffic flow management initiative planning. This methodology includes the use of specific data sources, specific features of calendar days defined using these data sources, and the application of a specific form of classification and then cluster analysis. The application of this methodology will produce results that enable historical analysis of the use of initiatives and evaluation of the relative success of different courses of action. Several challenges are overcome here including the need to identify the appropriate machine learning algorithms to apply, to quantify the differences between calendar days, to select features describing days, to obtain appropriate raw data, and to evaluate results in a meaningful way. These challenges are overcome via a review of relevant literature, the identification and trial of several useful models and data sets, and careful application of methods. For example, the cluster analysis that ultimately selects sets of similar days uses a distance metric based on variable importance measures from a separate classification model of observed initiatives. The methodology defined here is applied to the New York area, although it could be applied by other researchers to other areas.     

顶盖前区前核痛觉调制作用的形态学探讨──HRP束路追踪和免疫细胞化学研究

应用ＨＲＰ束路追踪和免疫细胞化学技术研究了顶盖前区前核（ＡＰｔＮ）和中脑深部网状核（ＤｐＭｅ）之间的纤维联系以及ＡＰｔＮ内几种神经活性物质的分布。将ＨＲＰ注入ＤｐＭｅ后，发现在ＡＰｔＮ内有ＨＲＰ标记的神经元胞体和纤维终末，表明ＡＰｔＶ和ＤｐＭｅ之间存在着双向纤维联系。ＡＰｔＮ内的ＨＲＰ标记细胞呈背、腹两群的极性分布模式。背侧群标记细胞偏向ＡＰｔＮ吻段分布，其中有相当一部分ＨＲＰ标记细胞也是谷氨酸（Ｇｌｕ）阳性细胞，提示ＡＰｔＮ内的这群细胞向ＤｐＭｅ的投射纤维终末以释放Ｇｌｕ为主。ＡＰｔＮ内的ＨＲＰ标记纤维主要位于ＡＰｔＮ尾段的背外侧和腹侧，提示由ＤｐＭｅ到ＡＰｔＮ的传入纤维可能通过ＡＰｔＮ的背外侧和腹侧两条通路进入ＡＰｔＮ。免疫细胞化学染色显示，ＡＰｔＮ含有Ｇｌｕ、亮－脑啡肽（Ｌ－ＥＮＫ）、Ｐ物质（ＳＰ）、酪氨酸羟化酶（ＴＨ）和５－羟色胺（５－ＨＴ）免疫反应阳性胞体和／或纤维，但没有发现加压素（ＶＰ）和β－内啡肽（β－ＥＮＤ）阳性反应结构。上述阳性反应物质在ＡＰｔＮ内各有自己的分布模式，但并不以哪种活性物质为主，提示ＡＰｔＮ功能的多样性和复杂性。     

软土深部盾构开挖地层损失率对软土土拱效应的影响分析

盾构在软土深部地层进行主动开挖时,开挖所采取的地层损失率差异,会使得深部地层土体产生不同的位移以及应力变化,从而对软土深部地层的主动土拱效应产生差异影响。通过调整计算模型中的主动开挖土体范围,设定7种不同的地层损失率,建立地层损失与软土主动土拱效应比例之间的对应关系。通过分析可得： 1）盾构在4倍直径埋深条件下进行主动开挖时,在隧道上方1~2倍直径范围内形成主动土拱作用区域; 2）主动开挖所采取的地层损失率越大,开挖后拱顶处所受到的主动土压力荷载越小,土拱效应发挥越充分,且当地层损失率到达一定值时,盾构开挖所产生的主动土拱效应比例逐渐趋近于稳定临界值。     

灌注桩深基坑的有限元计算及影响因素分析

对苏州市轨道交通2号线金民东路站深基坑使用灌注桩作为支挡结构的开挖、支护施工进行了有限元数值模拟,据此分析了灌注桩内力、水平侧移等随施工过程的变化以及主体结构的内力情况,并研究了灌注桩刚度、地基土刚度对支护结构侧移和弯矩的影响,对实际施工起到一定的指导作用。     

边坡深孔监测位移曲线异常的原因分析及纠正措施

基于深孔测斜的基本原理和工程实践,根据大量边坡深孔位移监测的工程实例,归纳、总结了典型性的异常深孔位移监测曲线,深入地剖析曲线异常的原因及纠正措施;并对测孔布置、钻探、监测数据采集和处理等影响深孔位移监测结果的关键步骤,提出明确的控制要求,确保深孔位移监测的准确性及可靠性.     

武汉长江隧道工程明挖深基坑工程的设计与施工

该文介绍了在武汉长江隧道工程武昌明挖隧道的设计与旌工中,根据复杂的地质条件和周边环境条件,借鉴武汉地区基坑工程的成功经验,深基坑设计采用了地下连续墙、钻孔灌注桩、SMW工法桩和拉森钢板桩等支护方式及坑周悬挂式竖向隔渗与坑内深井减压降水相结合的防水方式,阐述了在周边复杂情况下,深基坑旌工的应对措旌及旌工过程中问题的处理,总结了施工控制的要点。     

富水区地铁深基坑渗漏治理方案探讨

为探讨地下连续墙发生渗漏时的治理方案,结合富水区地铁深基坑开挖实例,对施工现场实际情况、渗漏原因、施工工序、施工难度及周边环境等因素进行综合分析比较,提出多种应对方案,为深基坑工程施工提供了借鉴和参考.