基于CAN总线机舱智能监控仪表的设计

针对船舶机舱温度变化大、振动强度高和控制系统复杂等特点,提出了一种基于CAN总线的机舱智能监控仪表,对机舱设备参数进行实时采集、处理和控制.该智能监控仪表主要由SJA1000和AT89S51芯片构成,其硬件电路、软件设计和智能算法在文中做了详细说明.实验表明:该智能监控仪表能较好地监控设备的运行状态,提供准确、可靠、实时的信息.     

多路声纳换能器绝缘电阻及等效电容智能检测仪研究

针对目前国内装备的大型声纳换能器的几百个基元检测主要还依靠人工采用兆欧表检测方法的落后现状,提出了开发多路声纳换能器绝缘电阻及等效电容智能检测仪的思路,主要介绍了系统组成,绝缘电阻和等效电容检测原理和方法。     

船舶配电监测信息采集装置研究

针对船舶配电网络运行的监测和管理水平相对落后的问题,本文提出了配电监测信息采集装置的研制理念与设计方法,并概述和分析了信息采集装置的工作原理、设计和应用。该信息采集装置实现对所管辖配电设备内部多路配电馈线终端的电力参数信息的采集、集中、处理、故障检测、本地显示及通讯功能,有效地改善了船舶配电系统运行数据的收集和监测的手段。     

直流供电系统自动绝缘检测装置

本文介绍了一种适用于直流输电以及其他用电设备的绝缘电阻自动检测记录装置。该装置包含的智能控制器与安装在机壳内的检测记录仪连接,用于程序控制和计算高压干线及用电设备正负极对地、及正负极之间绝缘电阻值,并存储在存储器中。而其中的检测记录仪是由高压发生电路模块,绝缘电阻检测电路模块组成。该装置能实现对高压干线及设备正负极对地及正负线间绝缘电阻进行检测,自动进行数据存储和历史数据查询,从而提高检测工作效率,保证干线及设备如列车等的安全运行。     

公路桥梁结构智能超载报警系统研究

结合工程实践．分析了常规桥梁结构检测与诊断技术存在的缺陷,提出了利用光纤传感技术时桥梁的承载能力进行监测的思路和研究方向。     

里海远洋渔船无人机舱系统研究

针对我国远洋渔船装备落后、操纵性差、机舱环境恶劣、电站管理水平低、劳动强度大以及渔船机舱自动化水平低等问题,介绍里海远洋渔船无人机舱系统的设计与组成。通过采用主机遥控系统、电站功率管理系统、机舱监测报警系统以及网络通信等技术,将自动化、电气化、信息化和智能化控制技术等船舶前沿科技应用于实船,构建一个满足法国船级社(BV)机舱自动化最高等级AUT-UMS要求的无人机舱系统,以提高远洋渔船的操控性、安全性和可靠性,提升供电系统自动化管理水平,改善作业人员工作环境。对该自动化系统的效果和特点进行分析,结果可为我国远洋渔船自动化系统的研究提供策略和思路。     

智能船舶集成设计技术

针对符合CCS《智能船舶规范》入级符号的船舶设计开发,研究分析智能船舶集成设计技术的设计思想、设计要素、设计框架和关键技术,设计目标船解决方案,并讨论了未来需要突破技术方向。     

Shared autonomous electric vehicle (SAEV) operations across the Austin,Texas network with charging infrastructure decisions

Shared autonomous vehicles, or SAVs, have attracted significant public and private interest because of their opportunity to simplify vehicle access, avoid parking costs, reduce fleet size, and, ultimately, save many travelers time and money. One way to extend these benefits is through an electric vehicle (EV) fleet. EVs are especially suited for this heavy usage due to their lower energy costs and reduced maintenance needs. As the price of EV batteries continues to fall, charging facilities become more convenient, and renewable energy sources grow in market share, EVs will become more economically and environmentally competitive with conventionally fueled vehicles. EVs are limited by their distance range and charge times, so these are important factors when considering operations of a large, electric SAV (SAEV) fleet.This study simulated performance characteristics of SAEV fleets serving travelers across the Austin, Texas 6-county region. The simulation works in sync with the agent-based simulator MATSim, with SAEV modeling as a new mode. Charging stations are placed, as needed, to serve all trips requested (under 75 km or 47 miles in length) over 30 days of initial model runs. Simulation of distinctive fleet sizes requiring different charge times and exhibiting different ranges, suggests that the number of station locations depends almost wholly on vehicle range. Reducing charge times does lower fleet response times (to trip requests), but increasing fleet size improves response times the most. Increasing range above 175 km (109 miles) does not appear to improve response times for this region and trips originating in the urban core are served the quickest. Unoccupied travel accounted for 19.6% of SAEV mileage on average, with driving to charging stations accounting for 31.5% of this empty-vehicle mileage. This study found that there appears to be a limit on how much response time can be improved through decreasing charge times or increasing vehicle range.     

The effect of crowding on public transit user travel behavior in a large-scale public transportation system through modeling daily variations

In this paper, the crowding effect in a transit vehicle is modeled in a time-expanded network that considers the daily variation in passenger flows. The study models the daily variation of in-vehicle crowding in a real large-scale transit system. A transit assignment for this real network is modeled and implemented by constructing a crowding cost function that follows the valuation of crowding and by using the reliable shortest path finding method. The direct application of the crowding model to a real network for the Utah Transit Authority indicates that crowd modeling with multi-user classes could influence public transportation system planning and affect the revenues of transit agencies. Moreover, the addition of the disutility factor, crowding, does not always appear to cause an increase in disutility for transit users.     

Innovative strategies for urban car-sharing systems and a simulator to assess their performance

In this paper, three innovative car-sharing systems for urban areas are proposed, based on fleets of individual intelligent vehicles with three service characteristics: instant access, open-ended reservations and one-way trips. These features provide high flexibility but create an uneven distribution of vehicles among stations. Therefore, relocation of vehicles must be performed. Three different system procedures are proposed: in the first system, relocations are performed by users; in the other two, vehicles relocate automatically, thanks to their automation. In the first two systems, vehicles are accessible only at stations, whereas in the third they are also accessible along roads. In order to provide transport managers with a tool to test systems in different realities, an object-oriented simulator is developed. The simulation provides outputs of system performance, in terms of user waiting times and system efficiency. The proposed systems are simulated for the city of Genoa, in Italy, and a comparative analysis is presented.