一种基于预测的电控汽油机怠速稳定性控制方法

根据发动机怠速工作过程的非线性、时变性和不确定性，分析了传统怠速稳定性控制的控制机理及存在的不足，提出了一种基于预测的发动机怠速稳定性控制方法——动态矩阵预测控制(DMC)算法，并建立了预测控制模型。试验表明，该预测控制方法能够较好地克服各种不确定性因素和复杂变化对怠速稳定性的影响。     

非分光型CO/HC气体分析仪故障分析及排除

汽车综合性能检测站和汽车二级维护企业都配置了CO／HC气体分析仪，以MEXA—324F型C0／HC气体分析仪为例，阐述了分析仪的检测原理、结构、主要操作、机械校准、故障分析及排除方法。在分析仪故障及排除中，介绍了以下几种故障的现象、故障原因及故障排除：一是仪表指针不动；二是仪表指针摆动不稳；三是指示值过大或过小等。     

水泥混凝土集中拌和在公路工程施工中的应用

通过实施水泥混凝土集中拌和，简化施工程序，使混凝土的质量得到有效控制。     

通渝隧道进口现场施工监控量测

详细介绍了通渝隧道进口浅埋偏压软弱围岩段新奥法施工的监控量测工作，通过对各施工阶段的监测与分析，用以配合和指导施工实践。     

浅谈公路交通发展与环境保护

随着公路交通在经济发展中地位的日益提高及公路交通的大力发展,由公路交通引起的环保问题也日益突出.本文试对公路交通引起的环保问题进行分析讨论,并提出了治理方法与对策.     

一例发动机故障的检查与排除

故障现象：一辆装用AEP直列4缸电喷发动机的上海帕萨特B5型轿车，行驶13万公里后，早晨首次起动发动机很难着车，需要反复起动多次才能成功，而热车时却能顺利起动，但发动机易熄火。     

通渝隧道围岩变形的神经网络预测

隧道新奥法施工中，常以围岩变形量作为评判围岩稳定性和支护结构经济合理性的重要指标。公路隧道围岩变形量是随时间而变化的数据序列，因而可以建立一些实时跟踪预测模型和方法。根据通渝隧道围岩拱顶下沉位移变形的特性，采用神经网络技术来预测其变形量，结果表明该方法简易、有效。     

连续曲线梁内力影响线的机动分析有限元方法

连续曲线梁内力影响线计算的解析公式复杂，采用静力有限元分析，计算后处理工作量又大。本文根据米勒．布雷斯劳的杆系内力影响线定理，推导了曲梁截面发生强迫相对位移时的等效结点荷载计算公式，将机动分析与有限元相结合的方法，使计算连续曲线梁内力影响线的效率大为提高。     

71352部队强化驾驶员“兵”意识

针对部分驾驶员“兵”意识不强、自身要求放松等实际问题，为强化驾驶员的“战斗员”意识，近日，71352部队在驾驶员队伍中深入开展了“转变单纯驾驶员观念，确立过硬汽车兵意识”的专题教育。     

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.