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首页> 外文会议>International Symposium on Automation and Robotics in Construction and Mining >Evaluating artificial intelligence tools for automated practice conformance checking
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Evaluating artificial intelligence tools for automated practice conformance checking

机译：评估自动实践一致性检查的人工智能工具

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摘要

Checking conformance of construction management practices to practice specifications is typically performed manually by experts in the Engineering and Construction (E&C) sector. Though conformance checking is known to increase performance of a project, this process takes considerable time as several professionals have to go through thousands of pages of documents, complex workflows, and personal interviews. This paper aims to evaluate AI tools including Text mining, process mining, and image data mining for their utility in assisting conformance checking in construction management. Automated conformance checking may not only reduce manual and repetitive work by experts but also reduce human errors. Examples are demonstrated for initial validation.
机译：检查施工管理实践的一致性规范通常由工程和建筑（E＆C）部门的专家手动进行。虽然已知符合检查来提高项目的性能，但此过程需要相当长的时间，因为若干专业人员必须通过数千页的文件，复杂的工作流程和个人访谈。本文旨在评估AI工具，包括文本挖掘，流程挖掘和图像数据挖掘，以便在辅助施工管理中协助一致性检查。自动一致性检查可能不仅可以减少专家的手动和重复工作，还可以减少人类错误。对初始验证进行说明示例。

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