Asset Intelligence: Maximising Operational Effectiveness for Digital Era

资产智能：最大化数字时代的运营效率

• 批准号: LP180100222
• 负责人: Prof Xiangyu Wang
• 金额: $ 30.67万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-11-07 至 2023-11-06
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100222
• 关键词: Asset; Intelligence; Maximising; Operational; Effectiveness

The primary aim of this project is to develop an innovative lifecycle semantic–based decision making approach through asset intelligence so as to maximize the operational effectiveness maintenance, repair and rehabilitation planning of infrastructure assets, such as concrete pavement. The research intends to address an important gap by providing logical formalisms and real-time capability to life-cycle asset information through computational intelligence. The expected outcome will be an intelligent asset management platform that provides structured and semantically enriched lifecycle asset information for optimised solutions to help reduce the cost, time and effort in asset information storage and retrieval, and decision-making.

该项目的主要目的是通过资产智能开发一种基于生命周期语义的创新决策方法，以最大限度地提高基础设施资产(如混凝土路面)的维护、维修和恢复规划的运营效率。这项研究旨在通过计算智能为生命周期资产信息提供逻辑形式和实时能力，以解决这一重要差距。预期结果将是一个智能资产管理平台，为优化的解决方案提供结构化和语义丰富的生命周期资产信息，以帮助减少资产信息存储和检索以及决策方面的成本、时间和精力。