煤矿灾难频发原因分析及防治对策

评述了当前我国矿难频发原因的几种代表性观点,论述了改革开放以来我国煤炭行业管理体制的变化历程,1989年煤炭行业管理体制变化对煤矿安全生产带来的影响,分析了当前我国矿难频发、治理效果不显著的主要原因,提出了防治我国当前煤矿灾难频发的诸多建议.     

基于虚拟现实技术的煤矿安全培训系统

针对传统煤矿安全培训手段单一、效果不理想的问题,提出了基于虚拟现实技术的煤矿安全培训系统。该系统应用虚拟现实开发软件3DS MAX和Virtools DEV来完成设备建模、场景构建和交互式系统的开发,实现了煤矿风险预控、事故案例再现和事故应急救援的仿真。应用结果表明,该系统通过三维仿真和交互形式可有效提高煤矿安全培训的针对性和实施效果,达到提高安全意识、减少安全事故的目的。     

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.     

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.     

裸置海底自沉降热油管道泄漏扩散的数值研究

根据计算流体力学建立海底海泥区域与海水区域的流固耦合传热多相流模型,海泥区域视为饱和含水多孔介质。运用软件模拟了裸置在海底的热油管道在输送过程中泄漏后原油在海泥和海水中的分布情况和温度场的变化情况,并对不同的泄漏点进行了分析。模拟时考虑了裸置海底管道的自沉降和海水中压强的影响。模拟结果表明,泄漏点对泄漏原油的扩散分布有很大影响;当泄漏点在土壤区域开始泄漏时,原油在土壤中呈弧形分布,过一段时间后沿土壤与管道外保温层流入海水中,顶端呈现喷射形,两侧呈螺旋状,并逐渐向海面流动;当泄漏点在海水区域时,泄漏的原油呈现喷射形,在浮力的作用下逐渐向海面流动;泄漏位置不同,海水和海泥温度场的分布有很大差异。海水区域和海泥区域的交界面对原油分布和温度场分布有很大影响。     

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.