某矿区变电站进线段防雷改造措施及仿真分析

介绍了某矿区110kV变电站线路防雷措施的基本情况,分析了该变电站35kV进线段遭受雷击的原因,即线路绝缘水平遭人为提高后与站内绝缘水平等级不匹配和进线段杆塔接地电阻过高,并提出了相应的采用加装绝缘子保护间隙配合避雷器进行差异性保护和采用树枝状接地装置的改造措施。ATPEMTP仿真分析结果验证了改造措施的可行性。     

供电企业信息作业风险评估研究

在深入研究事故致因理论、事故风险管理和供电企业生产作业风险管理的基础上,提出了供电企业信息作业风险评估的模型和方法。有助于供电企业建立一套基于风险管理的信息作业指导书,为信息运维人员提供安全作业操作规范,减少安全事故的发生。     

A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis

Knowledge management is crucial for construction safety management. Widely collected and well-organized safety-related documents are recognized to be significant in raising the workers' security awareness and then to prevent hazards and accidents. To improve document processing efficiency, automatic information extraction plays an important role. However, currently, automatic information extraction modeling requires large scale training datasets. It is a big challenge for the engineering industry, especially for the fields which heavily rely on the experts’ knowledge. Limited data sources, and high time and labor costs make it not practical to establish a large-scale dataset. This work proposed a natural language data augmentation-based small samples training framework for automatic information extraction modeling. With the designed cross combination-based text data augmentation algorithm, the deep neural network can be employed to build up automatic information extraction models without large-scale raw data and manual annotations. Characters semantic coding is employed to avoid word segmentation and make sure that the framework can be utilized in different writing language systems. The BiLSTM-CRF model is adopted as the detection core to conduct character classification. Through a case study of two independent accident news report datasets analysis, the proposed framework has been validated. A reliable and robust automatic information extraction model can be established, even though with small samples training.     

The impact of CCT on driving safety in the normal and accident situation: A VR-based experimental study

Correlated color temperature (CCT) of the light source inside the road tunnel plays a crucial role in ensuring driving safety, which is demonstrated by previous studies that CCT influences not only visual effects but also non-visual effects. Although conventional laboratory experiments could simulate the CCT environment inside the tunnel to some extent, they fail to restore driving experience, let alone simulate driving behavior in the accident situation. It has largely remained unclear whether and how CCT would influence visual/non-visual performance of the subjects who are performing driving tasks, especially in the accident situation. Motivated by this gap, a virtual-reality-based framework for assessing the influence of CCT on the visual and non/visual performance in normal driving situation and in accident situation was proposed. In this study, tunnel models under seven different CCTs were created and a rear-end accident was designed in the tunnel. By integrating analog driving equipment, all participants were required to perform virtual driving tasks both in the normal situation and in the accident situation. The non-visual performance (driving fatigue) and the visual performance (reaction time) of the participants were collected and analyzed. Results show that the CCT of light source inside the tunnel was significant on the driving fatigue of the driver who was performing driving task, and it also had a significant impact on the visual performance when the driver was faced with a rear-end accident. Detailed experimental methodology, behavioral explanations underlying these findings, validity of results and practical implications are also discussed in the paper.     

考虑恶劣天气的班轮多阶段重调度方法

受恶劣天气影响的船舶调度是一个非常复杂的优化问题,也是班轮公司重点关注的问题之一。为此,针对某航运网络上的一家班轮公司的所有营运船舶,以获知设计的多阶段重调度机制时段内最新预报的天气信息和这些船舶的实时位置为前提,重点考虑班轮船期表的限制并兼顾港口间航速变化和船舶容量等现实约束,构建了以固定计划期内所有船舶的航运总成本最小为优化目标的非线性数学模型,并设计了嵌入基因修复算子的改进遗传算法用于求解该模型。由此,可以给出集成租船直运、跨航线调船、反挂和货物中转等解决策略的最佳多阶段重调度方案。通过对大、中、小规模的算例进行实验,实验结果表明,可知与传统等待办法相比,多阶段重调度节约了总航运成本的15%以上,验证了所提模型和方案的有效性;与Cplex相比,改进遗传算法的运算效率大大提高,且偏差值均在5%以内,而与蚁群优化（ACO）算法、禁忌搜索（TS）算法、量子差分进化（QDE）算法相比,改进遗传算法能在有效时间内降低10%左右的成本,验证了算法的科学性。所提方法可为班轮公司的实际船舶调度提供参考。     

防误操作新型电力短路接地线的研制

挂接地线误操作导致的恶性误操作事故时有发生.提出了一种全新的智能化电力短路接地线,该接地线具备完善的报警功能,能有效避免带电误挂接地线或漏拆接地线合闸送电的误操作事故.     

雾霾成因及严寒地区乙醇汽油对雾霾影响

本文通过分析雾霾的组成成分及其形成机理,分别研究了乙醇汽油燃烧产物气溶胶粒子、颗粒物、附加产物(醛酮等)和水分对严寒地带区域性雾霾形成的影响.研究结果表明,乙醇汽油燃烧产物对雾霾的影响也是比较严重的,在严寒地区冬季不建议过量使用乙醇汽油.     

某特大简支梁桥墩身开裂的事故排查

桥梁裂缝严重影响结构安全性和耐久性,不符合“绿色建造”和“可持续发展”的相关理念。文章对某特大简支梁桥桥墩开裂现象进行事故排查,为裂缝修复工作提供依据,以促进桥梁施工各个环节的规范化。考虑支座中未拆除的临时连接螺栓对墩、梁的约束作用,首先以Abaqus分析未拆除的临时连接螺栓对支座水平剪切变形的约束作用,然后以Midas计算了3种最不利工况下桥墩墩顶处的支座反力,最后以ANSYS分析3种最不利荷载组合时墩身应力。结果表明,即使按墩顶的4个纵向活动支座临时连接被同时破坏的最不利情况考虑,墩身在3种最不利工况下的最大主拉应力也仅为0.08 MPa,远未达到C30混凝土的拉应力容许值0.73 MPa。因此,架梁完成后未及时拆除支座临时连接的限位螺栓并不是导致该桥墩身开裂的主要原因,事故调查需从其他方面入手。但该疏忽会在桥墩中引起拉应力,应尽量避免,确保桥梁建造的各个环节更为规范。     

基于NN的无信号混合交通交叉口自行车冲突避让行为建模仿真

在我国城市无信号交叉口,自行车与混合交通流的其他车辆(如机动车、自行车、行人)的冲突避让行为,难以通过传统数学方法建立准确的仿真模型.本文在以往交叉口自行车微观模型基础上,采用冲突车辆与自行车的相对位置矢量、相对速度矢量以及期望速度与实际速度相对矢量作为输入,自行车二维空间加速度矢量作为双输出的神经网络建立数学模型.利用实地采集自行车-机动车冲突、自行车-自行车冲突和自行车-行人冲突样本数据,进行神经网络训练和仿真验证,并对骑车者性别、冲突车辆类型和冲突速度进行了模型灵敏度分析.结果表明,模型能较好地反映无信号交叉口自行车与其他车辆及障碍物的冲突避让行为.     

Research on the Limit Value of Shape Coefficient of Rural Residences in Severe Cold Regions

Shape coefficient is a significant factor accounting for building energy consumption. In order to decrease the building energy consumption of rural residence in severe cold regions, this paper from the perspective of regulating the shape coefficient limit value, applies the field survey method to statistic and analyze the shape, width and depth of rural residence in severe cold regions and concludes the distribution characteristics and scope of building area. On this basis, though calculating and analyzing the relations between shape coefficient and length-width ratio under different building areas, meanwhile comprehensive considering the building function, farmers’ living mode and requirements etc, it put forward that the shape coefficient of rural residence in severe cold regions should below 0.8. It has important significance for guiding the rural energy-saving house design and construction of severe cold regions.