Boje, C P (2018) Knowledge representation, storage and retrieval for BIM supported building evacuation design. PhD thesis, Cardiff University, UK.
Abstract
Safe evacuation design is a complex process, which relies on crowd simulation models when assessing the performance of large or complicated building layouts. Current simulation methods and tools lack automation and are limited to geometry when relying on BIM interoperability. The use of semantic web linked data is seen as a step towards integrating and leveraging current digital resources to facilitate intelligent and automatic design capable of knowledge processing. An intelligent software system has been developed which is capable of integrating multiple information sources and which can facilitate fast automatic construction and analysis of crowd simulation models for design decision support. The system includes several developed OWL ontologies and SWRL rules which represent design knowledge from the fire evacuation field, thus being able to process and store data about a multi-disciplinary design field. The work conducted towards the development of the system involved investigation into crowd analysis tools, evacuation and digital building models. The ontology and knowledge operators are presented and discussed, providing insight into future exploration of such methods with the aim of outlining their benefits and limitations. The system and knowledge engineered have been tested using a case study, proving they are capable of fast processing and correct interpretation of model data.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | building information modelling; decision support; design; prototype development; safe evacuation; simulation |
| Index terms: | investigation, interoperability, automation, case study, semantic web, geometry, building information modelling, exploration, knowledge processing, design decision, safe evacuation, decision support, ontology, prototype |
| Subjects: | modelling and simulation, data collection methods, mathematical modelling, information systems, systems and processes, decision analysis, design practice, education and knowledge transfer, safety engineering, knowledge management, environmental resource management, networking, automation and robotics |
| Topics: | Risk Management, Sustainability, Engineering Principles, Information Management, Research Practice, Digital Applications, Design Practice |
| Descriptive scope: | 5 PCTEA |
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