公路隧道照明精确检测与智能控制系统研究

为解决公路隧道照明系统节能与行车安全、运营管理之间的矛盾，采用理论分析及实际检验的方法，分析了隧道照明控制系统的调光原理、照明控制系统结构以及亮度检测误差产生的原因，设计了一种可调量程的亮度检测仪并给出校准及亮度检测步骤，解决了公路隧道亮度精确检测的难题，采用模糊神经网络算法在照明系统中进行了实际应用，实践证明本算法在亮度满足实际运营需求的前提下可取得良好的节能效果。     

基于小波变换的传感器故障检测技术研究

介绍了小波变换的基本理论及小波技术用于传感器故障检测的基本原理，给出了传感器故障检测方法，仿真实例证明了这一技术的有效性。     

Evaluation of detection sensitivity and count performance of advanced vehicle detection technologies at a signalized intersection

This article evaluates the stop-bar detection and count performance of three advanced vehicle detection sensors under various environmental conditions at a signalized intersection. Continuing advancements to vehicle detection technologies and improvements to their detection capabilities to overcome issues from impacting conditions necessitates testing the performance of new and upgraded sensor products to evaluate their performance and identify the most suitable products for various climates and weather conditions. The three evaluated sensors were Autoscope Encore video, Iteris Vantage Edge 2 video, and Wavetronix SmartSensor Matrix microwave sensors. The three sensors performed with high detection sensitivity during ideal environmental conditions with up to 99.9% detection accuracy levels and are suitable for traffic monitoring centers that rely on remote access to the monitored sites and the collected data. However, they were affected by some extreme adverse weather conditions, mainly daytime and nighttime snow, daytime fog, dawn lighting, and strong winds (for high mounted devices). The selection of a sensor product will depend on the type of application and the priority given to the type of traffic data being collected. Overall, the Iteris video sensor performed with the highest detection sensitivity levels, with the Wavetronix Matrix microwave sensor performing similarly under most conditions (14 of 19 evaluated conditions). Autoscope video provided the highest count accuracies and also provides a much broader data collection capability. The results of this study will help transportation agencies in selecting suitable vehicle detection sensor technologies for future installations within their jurisdiction and improved data collection.     

浅析汽车自动变速器故障检测与维修

自动变速器与手动变速器相比较,它所关联的知识面更加的广泛,机械的结构也更加的复杂,控制的原理也更加的有难度,所以在自动变速器故障检测以及维修的要求也会更高。自动变速器如若发生故障之后,需要专门的工具以及按照相关的程序进行检测维修,才能及时准确的找出故障问题,并且能够降低返修机率的发生。本文主要对汽车自动变速器的工作原理介绍,并且提出了相关的故障形成原因,最后也给出了排除故障以及维修方法。     

列控系统动态检测计划管理辅助工具的研究与实践

列控系统动态检测计划的编制与管理,贯穿了整个高速铁路列控系统动态检测的全过程,从测试前期的计划编制,到测试过程中计划的改动,再到测试结束后计划的统计、查询。传统的计划管理方法对动态检测序列的管理通常比较分散,不容易查询,提出一种基于Excel VBA实现的高速铁路列控系统动态检测计划管理辅助工具,利用Excel非常强大的数据统计与数据处理能力,实现对动态检测计划的增、删、改、查、核对与输出功能,并通过实践,验证计划管理辅助工具的有效性与可靠性。     

采用计轴系统叠加轨道电路解决分路不良的探索与应用

主要针对站内轨道电路分路不良问题进行实际分析,利用计轴技术的优点,采用计轴系统叠加轨道电路作为解决轨道电路分路不良的方案。计轴系统通过对轨道区段两端计轴检测点统计的轴数进行比较,确认区段是否空闲,并控制相应的轨道继电器、实现自动检查区段状况;同时,合理地与既有电气集中设备有机结合,彻底解决分路不良问题,最大限度地保证行车安全。     

浅谈城市桥梁火灾后修复设计研究

合理利用城市桥下空间,对于充分利用道路空间资源、节省城市土地资源具有重要现实意义,也越来越引起人们的关注。近年来,各地区因为违规占用桥下空间引起的火灾越来越频繁。现结合实际工程,浅谈城市桥梁火灾后如何在保证交通不中断的情况下快速修复受损结构。     

PHC管桩基础在住宅小区工程中的应用

以廊坊华元和庭小区PHC管桩基础施工应用为依托，分析管桩基础施工过程中的一些方法措施及检测结果。采用PHC管桩基础，在工程质量、环境、经济、施工工期等方面都是城区地基处理的一种好方法。     

Fault-tolerant control of heavy-haul trains

The fault-tolerant control (FTC) of heavy-haul trains is discussed on the basis of the speed regulation proposed in previous works. The fault modes of trains are assumed and the corresponding fault detection and isolation (FDI) are studied. The FDI of sensor faults is based on a geometric approach for residual generators. The FDI of a braking system is based on the observation of the steady-state speed. From the difference of the steady-state speeds between the fault system and the faultless system, one can get fault information. Simulation tests were conducted on the suitability of the FDIs and the redesigned speed regulators. It is shown that the proposed FTC does not explicitly worsen the performance of the speed regulator in the case of a faultless system, while it obviously improves the performance of the speed regulator in the case of a faulty system.     

Fuzzy-logic-based incident detection for signalized diamond interchanges

This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy.The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.