水电站对外公路设计特点及主要技术标准分析——以乌东德水电站工程为例

水电站对外公路设计既要满足水电站施工期间对外交通运输要求,又要便于水电站完工后移交地方交通部门统一管理。结合金沙江上游乌东德等梯级水电站对外公路设计实践,通过对水电站对外公路的任务、功能及特点的分析,从公路设计等级、设计速度、建筑限界、荷载标准、平曲线设计等方面,对主要技术标准和指标的运用进行了论述;总结了设计经验和体会。对类似工程设计具有参考作用。     

松花江公路大桥所处环境条件调查及检测

在建松花江公路大桥位于东北寒冷地区,其易受冻融循环作用的影响,因此,对大桥所处地区的气温、湿度、降雪量、冰冻时间、年冻融循环次数等进行全面的调查和测试是十分必要的.为之,对大桥的腐蚀环境进行了详细调查,对大桥环境中的侵蚀性气体进行了检测,对大桥区域中的大气降水及松花江水质进行了分析,并对河床泥土侵蚀性离子进行了综合测试...     

公路工程造价风险规避策略

目前,造价风险管理人员一般是根据项目的具体情况,对不同的风险采用不同的处置方法。公路工程也一样,文章就两大处置策略对公路工程造价风险进行规避,力争将损失降低到最低程度。     

高速公路交通综合管理计算机网络系统

"高速公路交通综合管理计算机网络系统"是针对高速公路交通管理的需要研发的信息处理系统,具有低成本、易操作、可配置、无人职守等特点。本文从系统框架、系统实现技术特点和系统整体特性等几方面,介绍了该系统是一个集成应用图像处理、模式识别技术、计算机网络技术的现代化高速公路综合管理系统。     

Rationally Designed Anti-Glare Panel Arrays as Highway Wind Energy Harvester

The anti-glare panels along highways can block the dazzling lights of opposing vehicles at night, playing an important role in the highway safety. Inspired by the highway anti-glare panels, wind energy harvesting triboelectric nanogenerator (AG-TENG) arrays to properly capture energy from highway moving vehicles is developed. A single AG-TENG installation module can achieve a high power density of 0.2 Wm⁻² at a wind speed of 3 m s⁻¹. This wind speed is too low to drive conventional wind energy harvesting equipment. The performance of the AG-TENG shows no degradation after 80 h of continuous operation (1 440 000 times). Thus, with the rational consideration and features, the system can generate enough power to drive internet of things (IoT) devices and environmental sensors, as well as offer wireless alarming and radio frequency identification vehicle monitoring. This study provides a promising strategy to properly harvest wind energy on highways using existing infrastructures under the condition of even no natural wind, showing broad application prospects in distributed environmental monitoring, intelligent highways, and the IoT.     

含深度学习代理模型的有源配电网电压无功控制进化算法

分布式可再生能源的大规模接入,加剧了有源配电网(Active Distribution Network, ADN)的三相不平衡,容易导致系统电压越限与线损增加。然而,由于当前配电网量测设备安装不全,部分节点负荷数据难以准确获取,因此传统基于全局观测的ADN电压控制方法难以满足实际控制需求。为解决上述问题,提出一种含深度学习代理模型的电压无功控制(Volt/Var control, VVC)进化算法。设计以高速公路神经网络为代理模型,精确拟合局部量测负荷信息、调压控制策略与系统性能指标之间的映射关系。将训练后的代理模型嵌入非支配排序遗传算法的迭代寻优过程中,对电压偏移率、三相不平衡度及线路损耗指标进行直接计算,实现数据驱动的配电网VVC策略快速求取。在改进的IEEE 123节点三相配电网算例上进行测试,验证了所提算法的性能优势及求解效率。     

Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation

There is a high potential of severe injury outcomes in traffic crashes on rural interstate highways due to the significant amount of high speed traffic on these corridors. Hierarchical Bayesian models are capable of incorporating between-crash variance and within-crash correlations into traffic crash data analysis and are increasingly utilized in traffic crash severity analysis. This paper applies a hierarchical Bayesian logistic model to examine the significant factors at crash and vehicle/driver levels and their heterogeneous impacts on driver injury severity in rural interstate highway crashes. Analysis results indicate that the majority of the total variance is induced by the between-crash variance, showing the appropriateness of the utilized hierarchical modeling approach. Three crash-level variables and six vehicle/driver-level variables are found significant in predicting driver injury severities: road curve, maximum vehicle damage in a crash, number of vehicles in a crash, wet road surface, vehicle type, driver age, driver gender, driver seatbelt use and driver alcohol or drug involvement. Among these variables, road curve, functional and disabled vehicle damage in crash, single-vehicle crashes, female drivers, senior drivers, motorcycles and driver alcohol or drug involvement tend to increase the odds of drivers being incapably injured or killed in rural interstate crashes, while wet road surface, male drivers and driver seatbelt use are more likely to decrease the probability of severe driver injuries. The developed methodology and estimation results provide insightful understanding of the internal mechanism of rural interstate crashes and beneficial references for developing effective countermeasures for rural interstate crash prevention.     

浅析煤炭企业信息化建设的管控与实施

分析了煤炭企业信息化的现状,以中平能化集团有限责任公司的实践为例,阐述了煤炭企业信息化建设的重点和实施策略,即建设企业信息高速公路、数据存储利用中心、安全生产管控应用系统群、经营管理应用系统群、协同办公应用系统群、高集成度ERP平台等。实践表明,建设煤炭企业信息化可有效提高企业管理水平、办公效率和经济效益。     

基于视频的夜间车辆检测与跟踪算法研究

针对夜间高速光照条件差、车灯种类多样、环境因素干扰等导致的车辆难以检测的问题,提出了一种基于视频的夜间车辆的检测与跟踪算法。该方法首先将OTSU与一维最大熵阈值分割算法相结合来实现车灯的提取,剔除非车灯光源;然后利用车灯的时空特性完成车灯的匹配,解决了一车多灯和并排同速车辆的问题;最后利用kalman滤波器完成车灯的预测跟踪。在交通弱光流畅交通、正常光流畅交通和正常光拥堵交通3种应用场景下对所提算法进行应用和结果分析,实验结果表明所提方法在保证实时性的同时具有较高的准确率。     

高速公路交通的神经控制器

本文分析了高速公路车辆群交通模型并建立了高速公路交通的神经网络模型,提出 了具有入口匝道放行和路段速度两项控制作用的高速公路神经内模控制器,该控制器是一个 状态和控制作用均可跟踪的伺服系统．文章以沈大高速公路为实际背景进行系统仿真实验, 效果良好．