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Assessment of the Current False Alarm Situation from Fire Detection Systems in New Zealand and the Development of an Expert System for their Identifications

机译:新西兰火灾探测系统对当前虚假警报状况的评估以及鉴定专家系统的发展

摘要

This report examines the current false alarm situation from fire detection systems in New Zealand by studying the fire calls provided by AFA Monitoring Ltd from July 1999 to June 2001. The process of the developing of an Expert System for prediction the likely causes of a false alarm is also described in this report. This study supports the hypothesis that human activities impose some impact on the occurrence of false alarms. It was also found that different building types had different reasons for their most likely cause of false alarm. For example in an industrial facility, the most likely cause for false alarm is Component Failure. The most likely cause of a false alarm varies with different types of detection systems, such as a smoke detection system is most likely to be activated falsely due to an Environmental Effect. An Expert System is an artificial intelligent program that can be used to assist end users make decisions. In this report, a program called Expert System Builder was used. The author combined the knowledge about false alarms in New Zealand, and applied it for developing a tool that can assist the site engineer to identify the cause of a false alarm.
机译:本报告通过研究AFA监控有限公司从1999年7月至2001年6月提供的消防电话,研究了新西兰火灾探测系统的当前误报情况。开发专家系统以预测误报原因的过程此报告中也有介绍。这项研究支持以下假设:人类活动会对虚假警报的发生产生一定影响。还发现,不同类型的建筑物最有可能引起误报的原因不同。例如,在工业设施中,最可能引起误报的原因是组件故障。错误警报的最可能原因随检测系统类型的不同而不同,例如,由于环境影响,烟雾检测系统最有可能被错误地激活。专家系统是一种人工智能程序,可用于帮助最终用户做出决策。在此报告中,使用了一个名为Expert System Builder的程序。作者结合了在新西兰有关虚假警报的知识,并将其应用于开发可帮助站点工程师识别虚假警报原因的工具。

著录项

  • 作者

    Tu Yen-Fang;

  • 作者单位
  • 年度 2002
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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