基于西门子PLC除尘器粉尘防爆危险源信号检测及预警系统的研究

研发适用于滤袋式除尘器粉尘爆炸危险源信号的实时检测及预警系统。该系统综合应用工业控制、PLC控制、智能测控终端无线传输、云平台数据管理等技术。采用传感器分别监测除尘器运行时的进出风口压差、除尘器运行状态、高压脉冲喷吹压力和箱体温度。当监测信号不在系统预设的合理范围时,PLC输出就地预警信号,监测信号也可通过无线传输模块上传到云平台。运用云平台的数据分析功能,实现除尘器运行状态系统化监测和综合管理。     

基于ADS-B报文的“北斗”便携式终端实现

针对单个广播式自动相关监视（Automatic Dependent Surveillance-Broadcast，ADS-B）发射机传输距离受限、多地面站组网复杂以及成本较高等问题，在分析ADS-B报文编码与解码算法的基础上，探讨了基于无线网络传输的ADS-B报文信息技术，并设计了基于“北斗”卫星导航（BeiDou Satellite Navigation System，BDS）/嵌入式控制器以及无线网络的便携式监视终端系统。利用实测ADS-B数据联合搭建的监视中心对算法和系统进行测试，结果表明数据传输稳定，实现了低空空域通用航空飞机ADS-B态势信息的网络传输功能，丰富了监视信息的链路传输方式，为低空通航飞行器安全飞行和全面监视提供了新的方法。     

“北斗”救生终端海上自适应功率退避算法

受海况、浸水、结冰、对星等因素影响，飞行员海上遇险后报位可靠性较低，工作时长较短。为此，提出一种自适应功率退避方法，在对报位影响因素分析基础上，利用深度神经网络，通过对经纬度、高度、俯仰角、方向、加速度、速度、浸水、信号、电量等多维度数据进行学习，拟合出覆冰、浪涌、液面等信号特征与环境特征联想模型，自适应控制信号发射时机，实现功耗的有效控制。试验表明，该方法将通信成功率及工作时长分别由36.3%、6.0 h提升至73.3%、8.6 h。     

基于智能移动终端的作业解决方案

本文提出了一种基于Acrobat和Excel实现的适用于多平台智能移动终端的移动学习作业解决方案。该作业解决方案不需要教师掌握任何移动学习和智能终端的相关知识，就可以将现有学习资源转换为跨平台的移动学习资源。作业可随时随地完成且不需网络支持。配套开发的VBA程序可以自动批改作业并给出作业成绩。详细的批改数据可以为更深入的技术分析提供数据支持。     

论商业企业终端营销道德

加强商业企业终端营销道德建设,不仅有利于更好地调整企业与相关利益者的关系,增强企业的核心竞争力,促进企业的持续发展,而且能够从根本上确保消费者的利益不受侵害,从而促进经济的繁荣,社会的和谐进步。就终端中的定价和服务两个方面探讨了终端营销道德建设,提出了定价和服务道德水平及标准,并对商业企业终端营销道德建设提出了若干建议。     

油田特种作业车辆燃油管理系统的研究

为解决油田特种作业车辆和台上设备在生产运行中个别操作者盗卖燃油的问题,我们利用高精度燃油测量装置,对特种作业车辆台上设备的燃油消耗进行准确计量,并通过车载GPS终端通讯信道实时上传到监控管理系统进行展现和统计分析,解决了特种车辆燃油消耗考核不能落实到单车的难题,经济效益和社会效益明显,有很好的推广应用前景。     

基于移动宽带技术发展的云计算系统浅析

随着通信技术的发展,尤其是4G等新的通信技术的出现,用户终端的访问机制也相应的发生改变。本文对传统的通信模式进行了分析,同时描述了云计算技术在高速移动宽带网络中的应用及发展前景。     

特殊条件下客运站工程施工组织设计

施工组织设计能有效地把施工生产合理地组织起来,使工程的设计和施工、技术和经济、前方和后方有机结合起来,它有着重要的指导作用。文章以该车站工程的施工环境、特殊条件为基础,对施工组织设计进行深入研究,并结合实际工程概况制定了有效的解决措施;该工程又将"四新"技术切实有效地融入了施工组织设计中,从而保证了建设项目优质、高产、经济和安全。     

Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

Key drivers of passengers' overall satisfaction at klia2 terminal

The purpose of this study is to examine the airport service quality dimensions based on the ASQ survey and investigate the best predictor for overall satisfaction. The context of this study is the klia2 terminal passengers, which are predominantly users of the low-cost carriers at Kuala Lumpur International Airport. Secondary data obtained from the airport operator on the 2016 ASQ survey for the klia2 terminal was analysed using the PLS-SEM method. The grouping and impact of the thirty-three service quality elements from the ASQ survey were tested against the overall satisfaction element. The findings indicated that twenty-two out of the thirty-three elements were valid measures for the klia2 terminal users which forms the eight dimensions i.e. access, airport environment, airport facilities, arrival services, check-in, finding your way, passport and security. Airport environment was found as the best predictor in determining passengers’ overall satisfaction at klia2 terminal and should be given particular focus by the airport operator for continuous improvements.