Comprehensive alarm information processing technology with application in petrochemical plant

During the abnormal plant conditions, too much information is produced due to momentary plant excursions above alarm limits. This flood of information impedes correct interpretation and correction of plant conditions by the operator. Existing techniques for the design of alarm systems mostly have weak ability to handle complex hazard scenarios and increase the probability of larger safety issues. In this paper, a comprehensive alarm information processing (AIP) technology is introduced, called multi-round alarm management system (MRAMS), including several processing strategies: AIP based on single sensor, AIP based on sensor group, root cause diagnosis based on Bayesian network, sensor fault judgment method and false alarm inhibition method. In case studies, both simulation experiment and pilot application on a real petrochemical plant are presented. Results indicate the MRAMS is helpful in improving the accuracy of correctly diagnosing the root causes and hence avoiding false and redundant alarms. By adopting this new technology, the safe and reliable operation of the plant can be achieved, and the economic loss brought by improper alarms can be reduced.     

Combining FAP,MAP and correlation analysis for multivariate alarm thresholds optimization in industrial process

In the real industrial process, alarm threshold optimization is an important part of alarm system rationalization. If the design of alarm threshold is unreasonable, it would result in nuisance alarms, among which the critical alarms are overwhelmed. In order to alleviate this phenomenon, we propose a method of multivariate alarm thresholds optimization to reduce the nuisance alarms. Firstly, causal relationship between process variables is constructed based on the time delay estimation method, thus we can determine the alarms propagation path and then select the optimized variables. Secondly, in order to guarantee both the process safety and correlation consistency, three factors - false alarm probability (FAP), missed alarm probability (MAP), and the correlation between the alarm information and process information – are combined to establish the objective function of the optimization process for the first time. Then, the optimal thresholds are obtained by the genetic algorithm. Finally, the validity and effectiveness of the developed method are illustrated by the Tennessee Eastman process.     

基于RBF神经网络的火灾报警系统失效概率预测

报警系统失效主要包括漏报、误报,对系统进行失效概率预测,可以帮助判断设备质量优劣,评估系统效能。利用Matlab软件编程,通过神经网络预测失效概率。根据不同场所正在使用的火灾报警器的失效数据作为原始数据,归纳总结失效原因,建立事故树,结合专家打分法与模糊理论得到网络的输入值与输出值。通过网络训练,得到可以对系统失效概率进行预测的RBF神经网络,测算效率大幅提高。以70组不同品牌、用途的火灾报警系统作为算例,通过训练数据,最终达到输入底事件发生概率可直接输出顶事件发生概率的目的。结果表明,RBF神经网络相较于BP网络与事故树算得的失效概率具有更高的拟合度,RBF神经网络模型在进行系统失效概率预测时具有可靠性。     

基于化工生产过程历史数据的报警优化方法研究

为了有效降低报警装置漏报率和误报率,基于化工生产的过程历史数据,探讨了报警优化的两种方法。以误报率和漏报率为优化指标,建立报警阈值目标函数,从最小化目标函数的角度出发,采用数值优化的方法进行报警阈值的优化设计。基于报警时长的变异系数,应用自适应报警延时方法来降低报警数量。实例研究表明,应用基于化工生产过程历史数据的方法,可有效减少无效报警数量,降低误报率和漏报率,提高报警质量,对于提高石化生产过程的安全性具有积极意义。     

多功能报警平台设计

根据生活生产现状,设计了一种能够对温度、粉尘、人员、瓦斯等多种因素实施监控的多功能无线报警平台,本平台以A789C52芯片为程序载体,通过汇编语言编程实现数据判断处理后,向特定手机发送短信息以及进行现场应急处理。其硬件系统主要包括传感器、键盘等,并通过监控主程序,短信发送程序和数据采集与处理程序等软件系统,共同实现现场报警与应急处理、数据显示、远程短信报警。经实验证实,该平台工作稳定、功耗低、安装方便、非常适合生活生产安全领域。     

火灾自动报警系统可靠性研究

火灾自动报警系统主要包括火灾探测器、火灾报警控制器、减灾装置和灭火装置4部分,从这4部分分析了其工作原理。在此基础上,着重分析了误报、漏报概率较高的火灾探测系统(包括火灾探测器和火灾报警控制器)在使用过程中可能出现的失效状态。其失效的根本原因是在探测器的设计、选型与安装中出现的问题以及各类控制器和控制软件出现的问题。火灾自动报警系统在设计、安装和使用过程中出现的一些问题可能导致整个系统失效,主要包括硬件故障、系统失误和管理缺陷3类。因此,从火灾自动报警系统设计、软硬件产品质量、选型与安装及维护保养等方面给出了提高火灾自动报警系统可靠性的措施。最后应用系统安全及可靠性理论建立了包括电源系统、触发装置、报警控制装置和警报装置4个指标的火灾自动报警系统可靠度计算模型。     

Reliability evaluation of fire alarm systems using dynamic Bayesian networks and fuzzy fault tree analysis

In almost all industries, fire alarm systems play a vital role in the reducing the risks associated with fires and damages. Therefore, it is necessary to evaluate their reliability and performance in emergency situations. The present study aimed to use fault tree analysis (FTA) to determine the root causes involved in the failure of fire alarm systems, to use Fuzzy set theory and expert elicitation to determine relative probabilities, and finally, to evaluate the reliability of a fire alarm system using dynamic Bayesian networks (BNs) during a thirty-six months period. A total of 29 basic events were detected from the FT. The reliability of the fire alarm system was estimated at 0.954 according to the FT and 0.957 according to conventional BNs. The reliability of the fire alarm system after 36 months was estimated at 0.375 according to dynamic BNs. All the events involved in the failure of fire alarm systems were drawn in the fault tree diagram. The results indicate that remodeling of these systems and simultaneous construction activities are the most important factors in the failure of the fire alarm system. System reliability can also be increased to 0.965 by providing preventive and control measures to reduce the probability of critical events.     

基于贝叶斯估计的炼化装置动态告警管理方法研究

针对现有告警管理方法无法判断炼化装置运行中的过渡过程,对过渡过程不能进行准确有效地监测和管理,提出 了基于贝叶斯估计的动态告警线计算方法。通过训练历史过渡过程数据得到先验概率,自适应判断过渡过程和估计动态 告警线,解决了传统告警线的斜率不能赋值且只能依靠人为调节的问题,并可通过判断系统状态调节告警管理方式。经 常压塔原油进料流量调整和减压炉干气流量工艺调节的过渡过程现场数据验证,结果表明:与传统告警管理方法相比, 基于贝叶斯估计的动态告警管理方法的误告警总数量减少了87.34%,避免了告警洪水的发生,提高了炼化工艺运行的安 全性和可靠性。     

分布式广播报警通知控制软件的设计与实现

首先介绍了公共报警通知系统的背景知识和重要意义.以发达国家和我国建设的一些公共报警通知系统为例,对公共报警通知系统的发展现状进行概述,并分析了现有技术方案的一些不足之处.在介绍了分址调频广播技术的基础上,对分布式广播报警通知控制软件的设计与实现进行了详细说明.该软件通过互斥量的方法解决了硬件资源和广播资源的访问冲突问题;通过超时重发指令的方式解决了网络通信中可能存在的指令数据包丢失问题;通过设置超时时间,自动识别发生网络故障或者设备故障的发射塔;在无需人工干预的情况下,自动重新控制恢复正常功能的发射塔.该软件实现了多个客户端对多个广播报警发射基站的高效、正确、和分布式控制,极大的发挥了基于分布式分址调频广播技术的公共报警通知系统的优点.该软件系统与配套的分布式分址调频广播硬件系统一起,形成了一种覆盖范围广、环境适应性强、分区报警控制灵活的公共报警通知系统,技术路线成熟,推广前景广阔.     

钱家营煤矿火灾系统报警功能的实现

钱家营煤矿火灾系统报警可视化软件，实现了人机对话，并创造性地实现了监视控信息和通风网络信息在立体示意图上图形和数字动态交互显示，实现了井下火灾发生时的声音报警和图示报警功能。     

化工园区接警处警与应急值守系统的研究

本文分析了目前常用的接警处警系统，针对化工园区安全管理的工作需要，研究化工园区综合接警中心接警处警工作的特点和要求，分析化工园区接警中心工作体系和功能要求，设计开发了化工园区接警处警与应急值守系统。文中对系统体系架构、系统建设关键问题和所需的支持系统进行了详细介绍。该系统集成了地理信息系统的功能，提供化工园区事故接警、通知和处置功能，应用重大危险源监管信息系统、应急预案综合管理系统、综合监控系统等业务系统作为数据支持，为化工园区接警中心管理园区突发事件、实现事故快速反应和及时应对提供技术支持。     

浅谈脱硫系统的防火设计

火灾报警及消防系统是人身、设备安全的重要保证.针对脱硫系统的具体实际,对火灾报警及消防系统设计进行了探讨,并给出一定的设计参考意见.     

基于DSP虹膜识别防疲劳驾驶报警系统的研究

防止疲劳驾驶以主观监测和客观检测为主,但其在可靠性、成本、检测方法上存在不足,为此,设计了一套基于DSP虹膜识别防止疲劳驾驶报警系统。借鉴国内外学者的研究,遵循实时性、准确性、简洁性及经济性的设计原则,以虹膜识别算法为依据,DSP微处理器控制技术为基础进行了开发,该报警系统可在不干扰驾驶员的情况下,识别驾驶员身份,记录驾驶时间,识别疲劳驾驶并报警。测试结果表明:系统结构简单,实现了模块化。虹膜识别模块、计时模块基本满足了准确性和实时性的要求。     

基于PSTN网的火灾安全区域网络监控系统

随着自动电子消防报警系统的广泛使用,将现行的消防电子报警作为子系统,对其运行状况的自动统一监控和管理变得愈来愈重要。针对这种情况,笔者提出了构建区域火灾网络监控系统的新思路。即以ＰＳＴＮ（公用交换电话网）为信息传输途径,利用计算机及ＭＯＤＥＭ 卡,配合自动检测软件和通信接口技术与方法, 实现自动电子消防报警系统运行状况的监控和自动接收系统报警信号。该系统的实现,将大大提高现行消防电子报警系统的管理水平,降低火灾给人类造成的危害     

无线遥控可燃气体泄漏报警系统的设计

利用半导体气敏传感器、无线电收/发模块等器件,设计了无线遥控可燃气体报警系统.该系统对泄漏的可燃气体或有毒气体的浓度进行检测,遥控距离3 000 m,可用于工业、民用、公共场所的气体泄漏安全报警及大气污染检测等.     

基于气压监测的外浮顶储罐火灾报警系统研究

目前,外浮顶储罐的火灾报警系统是采用光纤光栅火灾报警系统。但是,考虑到光纤光栅火灾报警运行费用高和存在报警盲目的缺点,研制了基于气压监测的外浮顶储罐火灾报警系统。针对不同型号的感温探头,开展了火灾报警系统火灾报警响应时间和报警温度实验,分析了火焰距离、热熔管管径以及管壁厚度与对火灾报警响应时间和报警温度的影响。实验结果表明:随着火焰距离的增大,报警响应时间增长;相同火焰距离条件下,随着感温热熔管直径的增大,报警响应时间增长,报警温度升高。Φ6热熔管的火灾报警温度为116.8℃,Φ8热熔管的火灾报警温度为129.1℃,Φ10热熔管的火灾报警温度为156.7℃。     

基于单片机甲烷浓度监测的研究

设计了一种基于单片机来实现的甲烷浓度检测和报警功能的系统,该检测系统以AT89S52单片机为核心,包括有电源电路、传感器采集电路、信号放大电路、红外遥控电路、声光报警电路、显示电路等功能模块组成,通过传感器采集电路采集信号,输出与甲烷浓度对应电压信号,把电压信号进行A/D转换后送入单片机,经单片机处理后驱动器显示出被测气体甲烷浓度值,若被测甲烷浓度大于报警电路预设数值,报警电路发出报警,可以及时切断供电系统,防止瓦斯爆炸事故的发生.该系统采用高精度敏感元件,集成运算放大器INA128,ADc0809,以及远距离高可靠性通信芯片,且具有高速的处理能力,是一种电路设计新颖,参数测量准确,操作方便的甲烷浓度报警监控系统,实现了数字瓦斯气体的实时监控.为实现数字化井下测控和可视化综合管理提供了切实可行的方案.     

基于贝叶斯估计的多探测器火警判定方法研究*

为应对感烟探测器的大量误报对消防应急响应带来的挑战,考虑目前以感烟探测器为主的火警设施误报率高且短期内难以全部更换的特点,提出基于贝叶斯估计的多探测器火警判定方法,通过多个探测器的报警时间间隔计算火源位置的后验概率分布,并提出火警真实度概念,为火警判定提供依据。结果表明:使用多探测器耦合模型时每增加1个探测器可将误报率降低约4个数量级,该方法在探测器正常、部分失效、误报的情景下均能有效判别火警。     

Human factors applied to alarm panel modernization of nuclear control room

Human factors deal with issues related to humans, their behavior and the physical aspect of the environment in which they work. A control room is a complex system where operators perform plant operation using control systems and carry out monitoring and administrative responsibilities. For safe operation of industrial installation, the performance of the control room crew plays an important role. In this respect, a well designed control room is crucial for safe and efficient operation. The aim of this paper is to propose a methodological framework applied to nuclear control room evaluation, through participatory ergonomics, using operator activity analysis and human factors questionnaire as aid tools. We describe a case study in which the methodology framework was used in the evaluation process of a nuclear control room. The information gathered made possible a series of recommendation for the adequacy of the control room design, assisting in the safety assessment of the nuclear plant operation and justifying the alarm panel modernization.     

Data classification and performance evaluation for the most commonly-used univariate alarm systems

Alarm systems are critically important for safe and efficient operations of industrial plants, but many industrial alarm systems are suffering from too many nuisance alarms. This paper proposes a method to classify normal and abnormal data segments and evaluate performance indices for the most commonly used univariate alarm systems. The proposed method consists of three steps. First, piece-wise linear representations are exploited in separating historical data samples of an analog process variable configured with alarms into data segments with same qualitative trends. Second, data segments are classified into normal, abnormal and unclassified conditions via a mean hypothesis test; a required assumption is that data segments in normal and abnormal conditions have different mean values being distinguishable from alarm thresholds. Third, based on the normal and abnormal data, performance indices of univariate alarm systems are calculated, including two newly formulated ones as the false alarm duration ratio and the missed alarm duration ratio. The effectiveness of the proposed method is illustrated by numerical and industrial examples.