整合海事系统业务信息资源促进海事协同管理

海事系统提出了＂三个一＂和＂四型海事＂的建设目标。文章分析了海事业务信息系统现状与需求之间的差距,提出利用整合海事系统业务信息资源,全面提高信息化对海事协同监管、公共服务、决策支持的支撑水平。     

影响红水河航运发展的几个问题

为恢复红水河全线通航,系统分析了影响红水河航运发展的几个问题,包括红水河的梯级水位衔接、闸坝碍航、过船设施尺度、枢纽下泄非恒定流对下游影响等,提出了"先通后畅、优化调度、联合管理、水陆兼用、总体提高、依法保航"的埘策思路,并提出加强对龙滩升船机建设的协调、改建岩滩升船机、改建大化船闸卜游中间渠道、优化水库调度、均衡下泄...     

基于多目标遗传算法的潜器外形优化设计

计算流体力学软件应用于潜水器外形优化设计时,精度虽高,但效率低下。因此研究了试验设计和响应面模型技术,提出了一个潜水器外形优化设计的策略。其基本思想是:首先应用Gambit软件的日志文件建立起水动力分析模型,然后根据设计要求选取设计变量,用试验设计的方法在设计变量空间里选取样本点并进行阻力性能计算,得到各样本点的响应,并建立阻力、包络体积的二阶多项式模型响应面模型。潜水器设计时需要考虑能源与设备布置要求,因此将阻力与体积作为艇型优化的两个目标,研究了多目标遗传算法,并给出了Pareto最优解集。结果表明,文中采用近似模型的艇型优化过程,不但效率得到提高,精度也能得到保证,而且由CFD结果建立的阻力估算公式可以为后续设计带来很高的参考价值。     

高功率微波对无线电引信的效应分析

基于导弹无线电引信技术特点和工作机理,利用电磁耦合与相互作用基本理论,通过效应试验和理论分析相结合,研究高功率电磁脉冲对无线电引信干扰机理和效应。     

军用光电跟踪伺服控制技术分析

针对光电跟踪伺服系统所面对的新要求,在分析其控制原理及技术要求的基础上,从经典控制、现代控制和智能控制三个方面,对军用光电跟踪伺服系统中所采用的各种控制策略进行比较分析,阐述其各自的特点以及应用场合。在此基础上,探讨了光电跟踪伺服系统及其控制技术的发展趋势。这对于根据不同的技术要求选取合适的伺服控制方法,提供了理论参考,并具有一定的现实意义。     

螺旋桨桨叶宽度的双目视觉测量方法(英文)

Propeller blade width measurement has been extensively studied in the past using direct and indirect methods, and it plays a great role in determining the quality of the finished products. It has surveyed that previous techniques are usually time-consuming and erroneous due to a large number of points to be processed in blade width measurement. This paper proposes a new method of measuring blade width using two images acquired from different viewpoints of the same blade. And a new feature points matching approach for propeller blade image is proposed in stereo vision measurement. Based on these, pixel coordinates of contour points of the blade in two images are extracted and converted to real world coordinates by image algorithm and binocular stereo machine vision theory. Then, from the real world coordinates, the blade width at any position can be determined by simple geometrical method.     

基于AHP的港口安全风险模糊评判方法

针对我国港口安全风险的现状,从系统工程角度,采用层次分析法的基本原理,建立了港口安全风险分析模型,并运用模糊数学构建了隶属函数,求得港口安全风险的模糊评判矩阵,通过模糊评判获得了港口安全风险综合分数.结果表明,该评判方法能够科学合理地综合评价港口安全风险状况,为有关港口部门改善港口安全状况提供决策依据.     

Product substitution and dual sourcing under random supply failures

Product substitution can mitigate supply chain disruptions. However, it may not be very effective without multiple sourcing. In this paper, we consider a supply chain with two downward substitutable products. The products can be ordered from an unreliable supplier or a reliable but more expensive supplier. It is found that in an optimal sourcing policy the higher-grade product should be preferred over the lower-grade product. A sufficient condition is given for an optimal policy where only the higher-grade product is dual-sourced. The effect of substitution is contrasted with the non-substitution case. Numerical study shows the impact of demand variability and correlation on the effect of product substitution and the corresponding optimal sourcing policy.     

A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction

This paper presents a Bayesian inference-based dynamic linear model (DLM) to predict online short-term travel time on a freeway stretch. The proposed method considers the predicted freeway travel time as the sum of the median of historical travel times, time-varying random variations in travel time, and a model evolution error, where the median is employed to recognize the primary travel time pattern while the variation captures unexpected supply (i.e. capacity) reduction and demand fluctuations. Bayesian forecasting is a learning process that revises sequentially the state of a priori knowledge of travel time based on newly available information. The prediction result is a posterior travel time distribution that can be employed to generate a single-value (typically but not necessarily the mean) travel time as well as a confidence interval representing the uncertainty of travel time prediction. To better track travel time fluctuations during non-recurrent congestion due to unforeseen events (e.g., incidents, accidents, or bad weather), the DLM is integrated into an adaptive control framework that can automatically learn and adjust the system evolution noise level. The experiment results based on the real loop detector data of an I-66 segment in Northern Virginia suggest that the proposed method is able to provide accurate and reliable travel time prediction under both recurrent and non-recurrent traffic conditions.     

VMT自动导向系统在盾构法施工中的应用和研究

利用自动仿真技术,结合应用广泛的测量仪器,针对盾构法地铁施工,采用无线数据传输功能,方便、快捷地将盾构机掘进姿态以图形和文字的双重效果实时显示在计算机屏幕上,指导盾构机操作手调整盾构掘进参数,可真正实现操作可视化、同步化。