Context-Aware Information Access for Rapid On-Site Decision Making in Construction, Maintenance, and Inspection of Civil Infrastructure Systems

上下文感知信息访问，用于在民用基础设施系统的施工、维护和检查中快速做出现场决策

• 批准号: 0927475
• 负责人: Vineet Kamat
• 金额: $ 40万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0927475&HistoricalAwards=false
• 关键词: Context; Aware; Information; Access; Rapid

The objective of this project is to design, implement, validate, and demonstrate a new, self-contained, context-aware Information Technology (IT) that will automatically provide constructors, maintenance crews, and reconnaissance inspectors with accurate, prioritized, contextual information for making critical, real-time decisions during construction, maintenance, and inspection of constructed facilities. The research objective will be achieved by developing a context-sensing framework that will accurately track a mobile user's 3D spatial context in an arbitrary indoor/outdoor environment using a novel combination of GPS and wireless positioning technologies. Specific information of interest to a user at a given time will then be retrieved by interpreting spatial context with a high level of precision, allowing the identified contextual information to be accurately prioritized. The project's educational objectives are intricately related to the research, and include workshops for constructors, engineers, inspectors, researchers, and educators; curriculum development and improvement; and strategies to recruit and retain the brightest women and minority engineers.This research is critical because the inability to identify and access relevant information at times of need is the primary obstacle that prevents rapid and optimal decision-making by constructors, engineers, and maintenance crews, as well as by reconnaissance inspectors who respond to events (e.g. earthquakes) that damage the built infrastructure. Success in this project will notably improve jobsite productivity, accuracy, and safety, as well as enable a significant leap over current practices of operation, maintenance, and building reconnaissance that are often error-prone, time consuming, labor intensive, and primitive. The research results will be applicable to solve a wide range of engineering problems in construction and civil engineering, as well as other domains such as manufacturing, shipbuilding, and transportation. This project will significantly help the career development of graduate and undergraduate students, including women and minority engineers who will actively participate in the research activities and prepare to become tomorrow's engineers. The project will lead to new software tools and training materials that will be widely distributed to the construction, facilities management, and reconnaissance research and professional communities to enhance scientific and technological understanding.

该项目的目标是设计、实施、验证和演示一种新的、独立的、上下文感知的信息技术（IT），它将自动为施工人员、维护人员和勘察人员提供准确的、优先的、上下文信息在已建设施的施工、维护和检查过程中做出关键的实时决策。研究目标将通过开发上下文感知框架来实现，该框架将使用 GPS 和无线定位技术的新颖组合来准确跟踪移动用户在任意室内/室外环境中的 3D 空间上下文。然后，将通过高精度地解释空间上下文来检索用户在给定时间感兴趣的特定信息，从而允许准确地对所识别的上下文信息进行优先级排序。该项目的教育目标与研究密切相关，包括为建造者、工程师、检查员、研究人员和教育工作者举办研讨会；课程开发和改进；以及招募和留住最聪明的女性和少数族裔工程师的策略。这项研究至关重要，因为在需要时无法识别和访问相关信息是阻碍施工人员、工程师和维护人员快速做出最佳决策的主要障碍以及对损坏已建基础设施的事件（例如地震）做出反应的侦察员。该项目的成功将显着提高作业现场的生产力、准确性和安全性，并实现对当前容易出错、耗时、劳动密集型和原始的操作、维护和建筑勘察实践的重大飞跃。研究成果将适用于解决建筑和土木工程以及制造、造船和运输等其他领域的广泛工程问题。该项目将极大地帮助研究生和本科生的职业发展，包括女性和少数族裔工程师，他们将积极参与研究活动，为成为明天的工程师做好准备。该项目将带来新的软件工具和培训材料，这些工具和培训材料将广泛分发给建筑、设施管理、勘察研究和专业社区，以增强科学技术理解。