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Reasoning about Building Systems and Content to Support Vulnerability Assessment in Building Emergencies

机译:有关支持建筑物紧急情况中漏洞评估的建筑物系统和内容的推理

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摘要

Vulnerability assessment serves to identify vulnerabilities, develop responses, and drive the risk-management process. In identifying vulnerabilities, it is fundamental to identify and rank critical assets, which include vital systems, facilities, processes, and information necessary to maintain continuity of service. During emergencies in the facility management domain, first responders typically search for critical assets, both related to business continuity and value to the organization. This paper presents a formalized approach to reason about building systems and content to support vulnerability assessment in building emergencies caused by failures in building systems (e.g., sprinkler line leak, power outage). The developed reasoning approach enables a first responder to perform flexible searches and prioritize critical spaces and pieces of equipment that need to be protected in an emergency by leveraging existing building and content representations found in building information models (BIM). This approach targets retrieving and prioritizing vulnerable content using a faceted classification-based approach. The faceted-retrieval mechanism was tested for precision and recall in retrieving vulnerable content in two scenarios with ten experts. Results show increased precision and recall (98 and 92%, respectively) when all facets were used in the search. These results demonstrate that the faceted-retrieval mechanism more effectively retrieves content that need to be protected in building emergencies.
机译:漏洞评估可以识别漏洞,制定应对措施并推动风险管理流程。在识别漏洞时,识别和排序关键资产至关重要,这些资产包括至关重要的系统,设施,流程和维持服务连续性所需的信息。在设施管理领域的紧急情况下,第一响应者通常会搜索与业务连续性和组织价值相关的关键资产。本文针对建筑物系统和内容的原因提出了一种形式化的方法,以支持由建筑物系统故障(例如洒水管泄漏,停电)引起的建筑物紧急情况中的脆弱性评估。先进的推理方法使第一响应者可以利用建筑物信息模型(BIM)中的现有建筑物和内容表示,进行灵活的搜索并确定紧急情况下需要保护的关键空间和设备的优先级。该方法的目标是使用基于方面的基于分类的方法来检索易受攻击的内容并确定优先级。在十个专家的两种情况下,对多面检索机制进行了精确度和召回性测试,以检索易受攻击的内容。当在搜索中使用所有构面时,结果显示出更高的准确性和查全率(分别为98%和92%)。这些结果表明,分面检索机制可以更有效地检索建筑物紧急情况中需要保护的内容。

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