自来水水体处理对策研究

在分析影响水质因素的基础上,以某企业为例,介绍了水体处理中应注意的问题,探讨了应对水质突发事故的对策。     

Severity Prediction of Traffic Accident Using an Artificial Neural Network

In this paper, an artificial neural network (ANN) was used to predict the injury severity of traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6‐year period (from 2008 to 2013). For each accident record, 48 different attributes had been collected at the time of the accident. After data preprocessing, the data were reduced to 16 attributes and four injury severity classes. In this study, WEKA (Waikato Environment for Knowledge Analysis) data‐mining software was used to build the ANN classifier. The traffic accident data were used to build two classifiers in two different ways. The whole data set were used for training and validating the first classifier (training set), while 90% of the data were used for training the second classifier and the remaining 10% were used for testing it (testing set). The experimental results revealed that the developed ANN classifiers can predict accident severity with reasonable accuracy. The overall model prediction performance for the training and testing data were 81.6% and 74.6%, respectively. To improve the prediction accuracy of the ANN classifier, traffic accident data were split into three clusters using a k‐means algorithm. The results after clustering revealed significant improvement in the prediction accuracy of the ANN classifier, especially for the training dataset. In this work, and in order to validate the performance of the ANN model, an ordered probit model was also used as a comparative benchmark. The dependent variable (i.e. degree of injury) was transformed from ordinal to numerical (1, 2, 3, 4) for (minor, moderate, sever, death). The R tool was used to perform an ordered probit. For each accident, the ordered probit model showed how likely this accident would result in each class (minor, moderate, severe, death). The accuracy of 59.5% obtained from the ordered probit model was clearly less than the ANN accuracy value of 74.6%. Copyright © 2016 John Wiley & Sons, Ltd.     

浅析电气误操作事故

对电气误操作事故进行了分类,分析了造成电气误操作事故的各种原因,提出了整改措施和防范对策。     

太原市前北屯集贸市场火灾隐患分析及预防对策

对存在极大火灾隐患的前北屯市场进行了分析,将火灾危险危害因素进行识别并制定有效可行的预防措施,从而从根本上排除隐患。     

一起过电压引起的越级跳闸事故分析

介绍了一起过电压引起的越级跳闸事故,分析了保护越级跳闸的原因,总结了有关的防范措施和经验。     

220kV小店变电站2号主变差动保护跳闸的事故分析

通过对太原小店变电站2号主变差动保护动作跳闸的事故分析,找出了造成事故的主客观原因,提出了有针对性的变电站运行维护措施。     

火电厂空气预热器停转原因分析及事故处理

针对火电厂近年来发生的一些空气预热器停转事件,对其事故的发生和处理过程进行了细致的分析和总结,对火电厂空气预热器停转事故的正确处理有一定的参考价值。     

矿井瓦斯地质影响因素及事故防治探讨

瓦斯事故是所有煤矿安全事故中主要的一种类型,属于煤矿五大灾害之一。针对矿井瓦斯地质影响因素,探讨了其对煤层瓦斯含量的影响,并从瓦斯安全管理、火源安全管理等方面给出了瓦斯事故防治措施。     

引黄连接段PCCP输水管事故的抢修处理

总结了在带水运行的情况下抢修和处理引黄连接段PCCP输水管事故的经验。     

封闭空间油池火火焰振荡特性研究

在内尺寸为1m(长)×1m(宽)×0.75m(高)的无开口封闭空间进行了庚烷池火燃烧实验,重点研究了封闭空间内庚烷池火火焰的振荡行为特性,油池尺寸包括0.100,0.141,0.200和0.300m四种规格.实验发现,火焰根部面积的变化频率与火焰高度的振荡频率相等,在此基础提出了采用火焰根部面积的变化频率求取火焰振荡频率的方法,并应用于具有顶棚射流的封闭空间池火火焰振荡频率的确定.研究结果表明,在燃烧过程中油池火焰振荡频率波动较小,火焰振荡频率小于开放空间经验公式预测值,火焰振荡频率与油池直径的关系拟合结果为f=1.33D-0.5,且对无量纲关系式St=0.26Fr-0.532符合较好.