Pilgrim, M; Bouchlaghem, D; Loveday, D and Holmes, M (2002) Towards best practice in building analysis data representation. Construction Innovation, 2(2), pp. 117-130. ISSN 1471-4175
Abstract
Construction is by its nature a datarich domain. It is also a competitive market with historically low profit margins. One step towards improving design efficiency is to develop techniques to examine and interpret construction related data. To achieve any significant improvement it is necessary to focus on a given subdomain of engineering data. This paper focuses on analysis data, in particular building performance analysis data. This data, generated by performing an analysis of a building or its elements, may be used more efficiently and effectively by improving its visual representation. This is illustrated in this paper by three applications developed to improve the representation of specific building analysis datasets. Each exemplifies a structured and innovative approach to the development of applications used to enable engineers to dedicate more resources to understanding the results of their analyses.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | analysis; building; data; monitoring; representation; spreadsheet; thermal; visualization; weather |
| Index terms: | spreadsheet, best practice, dataset, visualization, profit, monitoring, engineer, efficiency, weather, building performance |
| Subjects: | data science, air quality, control systems, data management, design practice, performance management, quality assurance, economic analysis, profession, business |
| Topics: | Sustainability, Design Practice, Roles and Professions, Site Management, Research Practice, Business Strategy, Digital Applications, Quality Management |
| Descriptive scope: | 2 PC |
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