A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Decision-Making Technologies for Intelligent Maintenance and Management
Upon completion of bridge inspection, monitoring and analysis, the subsequent and crucial step is to formulate decisions for bridge maintenance, which should be logic or evidence based, optimal considering economic and environmental constraints, and feasible subject to resources at hand. There exists a situation that the decision-making is straightforward if the data and information are of low complexity. The reality is often the opposite, that is, data and information from the life-cycle inspection and monitoring processes, when brought to the maintenance engineers and managers, are often non-structured, high-dimensional, mutually dependent, and still ‘big’ in their volume. Recognizing these challenges, this chapter focuses digital technologies that can facilitate scientific and rational decision-making for bridge maintenance and management. Among them, Artificial intelligence (AI) technologies can facilitate decision-making taking the role of assisting human-based decision-making or of driving the decision-making. Two human–machine interfacing technologies are introduced, including virtual reality (VR) and augmented reality (AR), which provide advanced visual analytics for facilitate spatial–temporal understanding, logic formulation, and rational decision-making. General applications and specific applications of these technologies in the context of bridge maintenance and management are highlighted too in this chapter.
Decision-Making Technologies for Intelligent Maintenance and Management
Upon completion of bridge inspection, monitoring and analysis, the subsequent and crucial step is to formulate decisions for bridge maintenance, which should be logic or evidence based, optimal considering economic and environmental constraints, and feasible subject to resources at hand. There exists a situation that the decision-making is straightforward if the data and information are of low complexity. The reality is often the opposite, that is, data and information from the life-cycle inspection and monitoring processes, when brought to the maintenance engineers and managers, are often non-structured, high-dimensional, mutually dependent, and still ‘big’ in their volume. Recognizing these challenges, this chapter focuses digital technologies that can facilitate scientific and rational decision-making for bridge maintenance and management. Among them, Artificial intelligence (AI) technologies can facilitate decision-making taking the role of assisting human-based decision-making or of driving the decision-making. Two human–machine interfacing technologies are introduced, including virtual reality (VR) and augmented reality (AR), which provide advanced visual analytics for facilitate spatial–temporal understanding, logic formulation, and rational decision-making. General applications and specific applications of these technologies in the context of bridge maintenance and management are highlighted too in this chapter.
Decision-Making Technologies for Intelligent Maintenance and Management
Springer Tracts in Civil Engineering
Wu, Gang (author) / Chen, ZhiQiang (author) / Dang, Ji (author)
2024-08-18
51 pages
Article/Chapter (Book)
Electronic Resource
English
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