A Knowledge Engineering Approach to Analysis and Evaluation of Vertical Construction Schedules

垂直施工进度分析与评估的知识工程方法

• 批准号: 8613298
• 负责人: C. William Ibbs
• 金额: $ 4.98万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-02-01 至 1987-06-15
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8613298&HistoricalAwards=false
• 关键词: Knowledge; Engineering; Approach; Analysis; Evaluation

Computerized project management systems are widely acknowledged as deficient planning aids. Specifically, their inability to collect and interpret qualitative and subjective project data requires construction managers to interpret such information largely unassisted. Research in the field of Artificial Intelligence, which has been proven to be successful in many other fields, holds promise for providing such assistance in construction schedule analysis. The proposed knowledge engineering research project will extract, formalized, articulate (1) empirical and judgmental knowledge about construction network analysis and (2) traditional project management theory to develop a prototype intelligent assistant. This research advances the state-of-the-art by formalizing an amorphous mass of construction knowledge and by automating some of the tasks that senior project managers now know how to do well. The methodology utilized is stepwise simple and aimed at first and foremost extracting knowledge. The methodology also dispenses measureable milestones to provide a way to verify progess. While the results of this research will indicate that many of routine, and tedious operations can be automated, the principal goal is to establish that knowledge-based decision- support systems can allow project managers to become pro-active rather than re-active. The investigator has a strong background in project planning and control and the research team is geared to conduct the work. The budget is appropriate and the institutional resources are appropriate. An award is recommended for the first year of a two-year grant.

计算机化项目管理系统得到广泛认可 作为缺乏规划的辅助手段。 具体来说，他们无法 收集和解释定性和主观的项目数据 要求施工经理解释这些信息 基本上无人协助。 人工智能领域的研究 智能，这已被证明是成功的，在许多 在其他领域提供这种援助的希望， 施工进度分析 拟议的知识工程研究项目将提取， （1）经验性和判断性知识 关于施工网络分析和（2）传统的项目 管理理论，开发出一个智能助手原型。 这项研究通过形式化一个 无定形的大量建筑知识，并通过自动化一些 高级项目经理现在知道如何做的任务 好. 所采用的方法是逐步简单，旨在首先 最重要的是获取知识。 该方法还 分配可测量的里程碑，以提供一种方法来验证 不切实际。 虽然这项研究的结果将表明， 许多常规的、繁琐的操作可以自动化， 主要目标是建立基于知识的决策- 支持系统可以使项目经理变得积极主动 而不是反应性的。 调查员在项目规划方面有很强的背景， 控制和研究小组是准备进行这项工作。 的 预算适当，机构资源充足 适当 建议为两年期赠款的第一年提供赠款。