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.     

盾构机穿越排气阀井施工方法

对北京市南水北调南干渠盾构机穿越排气阀井施工方法进行了深度分析,通过优化招标图设计方案,采用在施工完成后的排气阀井内回填碎石+土层的方法,较全面地进行了方案设计,安全、快速完成施工任务。     

Travel time estimation oriented freeway sensor placement problem considering sensor failure

Optimal sensor placement on freeway corridor is of great interest to transportation authorities. However, current traffic sensors are easily subject to various failures. Therefore, it is necessary to incorporate sensor failure into the optimal sensor placement model. In this article, a two-stage stochastic model is proposed for the purpose of travel time estimation on freeway corridor. To balance the effectiveness and reliability, a stochastic conditional value at risk (CVaR) model is also proposed. Since both models are too complicated, a customized genetic algorithm is developed. Numerical experiments show that considering sensor failure makes a significant performance improvement in the sensor placement pattern. Sensitivity analysis is also applied to investigate the impact of a number of allowable sensors and different traffic sensor failure probability.     

State estimation in roll dynamics for commercial vehicles

Accurate lateral load transfer estimation plays an important role in improving the performance of the active rollover prevention system equipped in commercial vehicles. This estimation depends on the accurate prediction of roll angles for both the sprung and the unsprung subsystems. This paper proposes a novel computational method for roll-angle estimation in commercial vehicles employing sensors which are already used in a vehicle dynamic control system without additional expensive measurement units. The estimation strategy integrates two blocks. The first block contains a sliding-mode observer which is responsible for calculating the lateral tyre forces, while in the second block, the Kalman filter estimates the roll angles of the sprung mass and those of axles in the truck. The validation is conducted through MATLAB/TruckSim co-simulation. Based on the comparison between the estimated results and the simulation results from TruckSim, it can be concluded that the proposed estimation method has a promising tracking performance with low computational cost and high convergence speed. This approach enables a low-cost solution for the rollover prevention in commercial vehicles.     

高速公路景观设计初探

就高速公路景观设计进行了探讨.     

船舶上层建筑重量重心对其固有频率的影响

在船舶设计、建造过程中及船舶建造完成后,有时上层建筑的固有频率与主机、螺旋桨的激励频率相接近。想要通过一些简单有效的手段对船舶进行修改,使上层建筑的固有频率避开激励源频率以避免共振。本文利用大型通用有限元分析软件Ansys,以某300,000吨级原油船为研究对象,对上层建筑的重量和重心高度如何影响上层建筑的首阶横向、纵向固有频率进行灵敏度分析,以求找到简单有效的、适于工程实际中改变船舶上层建筑固有频率的方法。     

堆料机悬臂皮带机打滑原因的分析与处理

堆料机的悬臂皮带机在使用过程中,当悬臂上仰角度达到正常需要工作角度的某一值时,皮带会发生打滑现象,尤其是应用于运送铁矿和采用螺旋张紧或液压张紧装置张紧的悬臂皮带机,更易出现打滑的现象。通过实例分析其打滑机理,并提出解决办法。     

RCF-RPWM策略的功率谱分析及优化设计

在DC-AC变换器中,通过对载波频率的随机化处理,可以把输出电压的离散谱转换成连续谱,降低功率谱的峰值,达到抑制声学噪声和降低电磁干扰的目的.文中推导了采用随机载波频率RPWM策略逆变器开关函数的功率谱密度解析表达式,实验结果验证了其正确性.通过引入特征函数,提出了采用有限点载波频率进行随机时,开关频率选取的优化准则,仿真结果验证了其有效性.     

Magnetic field tuning characteristics of bimodal ultrasonic motor stator

The magnetic field tuning characteristics of an ultrasonic motor (USM) stator are discussed. The stator consists of two piezoelectric ceramic transducer (PZT) plates and one sandwiched-in Terfenol-D plate. The dimensions of the stator are carefully adjusted to specifically discuss the influence of the magnetic field on the frequency difference between the longitudinal and bending modes of the stator. The frequency difference discussed in this paper is usually small and mainly caused by uneven materials, machining errors and changes in external conditions (temperature, pre-stress or load). The longitudinal and bending modes of the stator are simultaneously excited by an external electric field to generate the elliptic motion trajectories of the driving points. A direct current (DC) magnetic field is applied to decrease the difference between the two mode frequencies of the fabricated stator. In experiments, the dependences of the two mode frequencies and their difference on DC magnetic fields are all investigated. The experimental results indicate that the difference between the longitudinal and bending mode frequencies of the PZT/Terfenol-D/PZT composite stator can be tuned by changing the intensity of the external DC magnetic field.