Brilakis, I (2005) Content based integration of construction site images in AEC/FM model based systems. PhD thesis, University of Illinois at Urbana-Champaign, USA.
Abstract
In the modern, distributed and dynamic construction environment it is important to exchange information from different sources and in different data formats in order to improve the processes supported by these systems. Previous research has demonstrated that: (i) a significant percentage of construction data is stored in semi-structured or unstructured data formats; (ii) locating and identifying such data that are needed for the important decision making processes is a very hard and time-consuming task; (iii) there is no automated method for associating visual data with their related project objects; and (iv) construction visual data and specifically images are a significant part of construction documentation with thousands stored in site photographs logs of large scale projects. Therefore, methods for managing such types of data and especially construction images are important for construction information management. In this dissertation, an automated methodology for the retrieval, classification, and integration of construction images in AEC/FM model based systems will be presented. Specifically, a combination of techniques from the areas of image processing, computer vision, and content-based image retrieval have been deployed to develop a method that can retrieve related construction site image data from components of a project model. This method is able to automatically classify, store, integrate and retrieve image data files in inter-organizational systems so as to allow their usage in project management related tasks like project monitoring and productivity measuring systems, processes visualization across time and inventory monitoring as well as evidence retrieval for litigation and other purposes.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Soibelman, L |
| Uncontrolled Keywords: | construction site; inventory; decision making; documentation; information management; integration; litigation; monitoring; productivity; visualization |
| Index terms: | integration, methodology, decision-making, evidence, visualization, project monitoring, computer vision, unstructured data, construction site, documentation, monitoring, dissertation, project management, inventory, image processing, productivity, decision-making process, litigation |
| Subjects: | research methods, management, design practice, project management theory and practice, professional development, inventory management, computer vision, decision analysis, organizational analysis, evaluation and assessment methods, research dissemination and communication, control systems, dispute resolution, work location, data science |
| Topics: | Information Management, Research Practice, Business Strategy, Site Management, Organizational Design, Digital Applications, Design Practice, Risk Management, Project Management, Supply Chain Management, Legal Issues |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here