Hu, Q; Bai, Y; He, L; Cai, Q; Tang, S; Ma, G; Tan, J and Liang, B (2020) Intelligent framework for worker-machine safety assessment. Journal of Construction Engineering and Management, 146(5): 04020045, ISSN 0733-9364
Abstract
Intelligent safety management based on machine vision has become indispensable in reducing collision safety accidents during construction. To prevent collisions between workers and machines in excavation site construction, a real-time intelligent evaluation system to reflect worker-machine safety status was developed. The system included: (1) determination of the key factors affecting the safety of the interactive operation between workers and machines; (2) extraction of precursor semantic information related to the safety assessment for each object in the construction site based on machine vision; and (3) assessment of the safety state of a monitored object using a fuzzy neural network. A case study of excavation site construction is presented to illustrate and verify the entire process of safety assessment using the developed framework. The results show that the proposed model achieves high detection rates: 96% and 94% for tracking accuracy and 91.67% for prediction accuracy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | fuzzy neural network; intelligent assessment; intelligent construction site; machine vision; worker-machine safety |
| Index terms: | case study, machine vision, safety management, excavation, accuracy, construction site, neural network |
| Subjects: | data collection methods, work location, construction operations, artificial intelligence, professional development, computer vision, occupational health and safety management |
| Topics: | Site Management, Digital Applications, Health and Safety, Research Practice, Information Management |
| Descriptive scope: | 3 PCE |
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