氨联产甲醇物料的危险性辨识、评价及安全措施

氨联产甲醇生产法是生产甲醇的一种主要方法。甲醇生产中的物料都是比较危险的化学品,该类化学品易燃、易爆,容易使人中毒,如果管理不善,一旦发生意外,将造成巨大经济损失和重大人员伤亡。笔者按照OHSMS(职业安全健康管理体系)标准,对氨联产甲醇生产系统中生产过程物料和成品物料的危险性进行辨识和评价,提出了在氨联产甲醇生产系统中有关生产运行的安全管理控制措施,为氨联产甲醇生产系统的安全生产提供了切实可行的手段和途径,旨在提醒人们对氨联产甲醇生产系统的安全生产引起充分重视。     

基于知识的管道系统泄漏检测方法

提出了3种基于知识的管道系统泄漏检测方法,分别是:通过对负压波波形分段符号化处理,采用上下文无关法表示波形结构模式的模式识别诊断系统;以选取合适维数的功率谱特征向量而建立的神经网络泄漏检测系统;与泄漏机理数学模型结合的泄漏诊断专家系统。     

MULTICRITERION DECISION MAKING FOR FLOOD CONTROL OPERATIONS: THEORY AND APPLICATIONS1

ABSTRACT: Flood control operations are generally complex in nature, as they are often associated with a large quantity of uncertain factors in combination of noncommensurable criteria. It has been found that the use of fuzzy set theory coupled with multicriterion decision making (MCDM) methods is very promising. In this paper, a multicriterion fuzzy recognition model is established for flood control operations. A subjective preference and iterative weights method is proposed for weight assessment. First, an initial solution of criteria weights, which is directly analyzed from the selected alternatives, is obtained by using the proposed fuzzy recognition model. Then, according to their knowledge related to real time flood operations, operators may modify the initial weights if necessary. When the relative membership grades of alternatives belonging to all rankings are fixed, a defuzzification equation is used to calculate the rank feature value vector. Based on the rank feature value vector, one can evaluate the alternative set. Two flood operation cases are provided to illustrate the application of the proposed model. With the incorporation of the operator's knowledge related to flood operations, the proposed model is flexible in giving weights and realizes more practical flood control operations.     

Does the potential safety risk affect whether particular construction hazards are recognized or not?

Introduction: Evidence from the global construction industry suggests that an unacceptable number of safety hazards remain unrecognized in construction workplaces. Unfortunately, there isn’t a sufficient understanding of why particular safety hazards remain unrecognized. Such an understanding is important to address the issue of poor hazard recognition and develop remedial interventions. A recent exploratory effort provided anecdotal evidence that workers often fail to recognize safety hazards that are expected to impose relatively lower levels of safety risk. In other words, the research demonstrated that the underlying risk imposed by a safety hazard can affect whether a hazard will be recognized or not. Method: The presented research focused on empirically testing this preliminary finding. More specifically, the study tested the proposition that Construction workers are more likely to recognize safety hazards that impose higher levels of safety risk than those that impose relatively lower levels of safety risk. The research goals were accomplished through a number of steps. First, a set of 16 construction case images depicting a variety of construction operations that included a number of known safety hazards was presented to a panel of four construction safety experts. The experts were tasked with examining each of the known safety hazards and providing a rating of the relative safety risk that the individual hazards impose. Having obtained an estimate of the underlying safety risk, a hazard recognition activity was administered to 287 workers recruited from 57 construction workplaces in the United States. The hazard recognition activity involved the examination of a random sample of two construction case images that were previously examined by the expert panel and reporting relevant safety hazards. Results: The results of the study provided support for the proposition that workers are more likely to recognize hazards that impose relatively higher levels of safety risk. Practical Applications: The findings of the study can be leveraged to improve existing hazard recognition methods and develop more robust interventions to address the issue of poor hazard recognition levels.     

基于属性识别的高速公路交通安全评价模型

针对高速公路交通安全问题,利用属性数学中的识别理论对其进行研究。在对影响高速公路交通安全因素综合分析基础上,构建了高速公路交通安全评价的指标体系;在利用五级标度法确定评价指标权重系数的情况下,建立了基于属性识别的高速公路交通安全评价模型;评价模型根据单指标的属性测度值与多指标的综合属性测度值,利用置信度准则来识别高速公路交通安全的现状水平。应用实例表明:利用属性评价模型,可以找出影响高速公路交通安全的问题成因和限制因素,为高速公路规划和改造提供科学决策依据。     

基于ASR的呼叫中心系统设计与可靠性研究

本文以IT运行维护的故障申报系统为例,介绍如何利用Nuance Recognizer9.0自动语音识别系统和东进D081A模拟中继语音卡电话处理系统设计基于ASR(自动语音识别)的呼叫中心。文中不仅介绍了设计过程中的各个关键环节,而且对该系统的可靠性进行了深入讨论。其中包括如何合理设计语法文件以提高语音识别率;如何在系统运行期间进行同步保障,使系统逐步趋于完善。     

一种火场多参量在线监测系统的设计与实现

火场氧浓度降低、大量烟气遮挡视线和吸入毒性气体是造成火灾中人员无法逃生而窒息死亡的三大主要因素.基于波长调制光谱和谐波探测技术,利用光源调制实现了气体浓度的谐波检测;采用激光烟浓度检测方法,测得减光系数,以表征烟雾浓度.通过合理高效的系统光路和硬件设计,采用分时复用方法,大大缩短了检测周期,每2.5秒便可完成一次对火场多参量的检测,实现了同时对火场中多参量(包括火灾产物中O2、CO、CO2、HCN的浓度和烟雾浓度)的在线实时监测.     

Chirp浅剖仪在水域地质调查中的应用

基于线性调频技术的Chirp声学浅剖仪系统,较好地解决了探测深度以及分辨率这两个最令人关心但又互为矛盾的问题。该浅剖仪系统主要由导航系统、信号控制系统、信号发射系统、信号接受系统以及测深系统等5部分组成,理论上,其纵向地层分辨率为十几厘米左右,最大探测深度在百米左右,具体视地层以及水质等条件而定。考虑到该系统的特殊性和复杂性,对其关键操作进行了较为详细的描述。最后介绍了该系统在活断层调查、管线走向调查以及水底抛石调查等不同类型水域岩土工程勘察中的成功应用,表明其具有良好的应用前景。     

煤矿安全预评价的可变模糊识别方法

煤矿安全预评价涉及诸多不确定信息,用传统评价方法难以获得可靠的评价结果。为此,将可变模糊模式识别模型与方法引入煤矿安全领域,提出了煤矿安全预评价的可变模糊识别方法。可变模糊识别方法首先根据指标特征值与指标标准特征值矩阵确定样本的级别上下限,然后利用可变模糊模式识别模型对样本进行识别,得到样本在各级别下的相对隶属度,进而计算级别特征值,并以此为依据进行评价。将该方法应用于黄陵双龙煤矿,得出该矿井的安全等级。结果表明:可变模糊识别方法较文献中方法可更准确地给出安全性等级评价结果,为煤矿安全预评价提供一条新的途径。