Kim, C (2004) Spatial information acquisition and its use for infrastructure operation and maintenance. PhD thesis, University of Texas at Austin, USA.
Abstract
Site modeling can be useful in various safety-enhancement applications and for as-built data acquisition. For example, simulation-based on-site modeling may assist an equipment operator to avoid incidents that result in human injury or death (or damage to equipment and materials) on construction sites. Also, site modeling is required for real-time applications such as equipment control and as-built data acquisition. Site-modeling methods that are currently in use, including 3D CAD and dense 3D scanning systems, have certain limitations, in that they are time consuming and labor intensive and require high performance computers. This dissertation presents a rapid, on-site, spatial-modeling method using a “sparse point cloud” approach that represents construction sites in an efficient manner. The various procedures used in the modeling process, including a convex-hull algorithm, workspace partitioning, and an algorithm that merges model subsets from different locations to generate construction-site scenes, were developed. Experiments have been conducted to verify the accuracy and speed of the system, as well as its applicability to the representation of actual construction sites. The results of the experiments performed on actual construction sites were presented; as are case studies of the modeling method per se. Experiments of the applications of the proposed site-modeling method to the simulation of obstacle avoidance in the operation of equipment on an industrial construction project were conducted. The experimental results indicated that the proposed spatial-modeling approach has potential for effective use in a broad class of applications in the construction industry.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Haas, C T |
| Uncontrolled Keywords: | accuracy; construction project; construction site; equipment; injury; operation and maintenance; experiment; case study; simulation |
| Index terms: | injury, operation and maintenance, experiment, accuracy, construction site, point cloud, construction project, case study, acquisition, workspace, data acquisition, dissertation, construction industry, industrial construction, modelling |
| Subjects: | industry analysis, building construction, health conditions and diseases, digital design, professional development, production management, maintenance engineering, management, analytical methods, work location, business, research dissemination and communication, data collection methods |
| Topics: | Business Strategy, Research Practice, Information Management, Stakeholder Management, Digital Applications, Site Management, Health and Safety, Project Management, Engineering Principles |
| Descriptive scope: | 4 PCTE |
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