Abstract
Nuclear power plant (NPP) outages involve maintenance and repair activities of a large number of workers in limited workspaces, while having tight schedules and zero-tolerance for accidents. During an outage, thousands of workers will be working around the NPP. Extremely high outage costs and expensive delays in maintenance projects (around $1.5 million per day) require tight outage schedules (typically 20 days). In such packed workspaces, real-time human behavior monitoring is critical for ensuring safe collaboration among workers, minimal wastes of time and resources due to the lack of situational awareness, and timely project control. Current methods for detailed human behavior monitoring on construction sites rely on manual imagery data collection and analysis, which is tedious and error-prone. This paper presents a framework of automatic imagery data analysis that enables real-time detection and diagnosis of anomalous human behaviors during outages, through the integration of 4D construction simulation and object tracking algorithms.
| Original language | English (US) |
|---|---|
| Title of host publication | Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management - 7th International Conference, DHM 2016 and Held as Part of HCI International 2016, Proceedings |
| Publisher | Springer Verlag |
| Pages | 604-615 |
| Number of pages | 12 |
| Volume | 9745 |
| ISBN (Print) | 9783319402468 |
| DOIs | |
| State | Published - 2016 |
| Event | 7th International Conference on Digital Human Modeling, DHM 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: Jul 17 2016 → Jul 22 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9745 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 7th International Conference on Digital Human Modeling, DHM 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 |
|---|---|
| Country | Canada |
| City | Toronto |
| Period | 7/17/16 → 7/22/16 |
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Keywords
- Computer vision
- Construction automation
- Human factors
- Nuclear plant
- Project control
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Automatic imagery data analysis for diagnosing human factors in the outage of a nuclear plant. / Tang, Pingbo; Zhang, Cheng; Yilmaz, Alper; Cooke, Nancy; Boring, Ronald Laurids; Chasey, Allan; Vaughn, Timothy; Jones, Samuel; Gupta, Ashish; Buchanan, Verica.
Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management - 7th International Conference, DHM 2016 and Held as Part of HCI International 2016, Proceedings. Vol. 9745 Springer Verlag, 2016. p. 604-615 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9745).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automatic imagery data analysis for diagnosing human factors in the outage of a nuclear plant
AU - Tang, Pingbo
AU - Zhang, Cheng
AU - Yilmaz, Alper
AU - Cooke, Nancy
AU - Boring, Ronald Laurids
AU - Chasey, Allan
AU - Vaughn, Timothy
AU - Jones, Samuel
AU - Gupta, Ashish
AU - Buchanan, Verica
PY - 2016
Y1 - 2016
N2 - Nuclear power plant (NPP) outages involve maintenance and repair activities of a large number of workers in limited workspaces, while having tight schedules and zero-tolerance for accidents. During an outage, thousands of workers will be working around the NPP. Extremely high outage costs and expensive delays in maintenance projects (around $1.5 million per day) require tight outage schedules (typically 20 days). In such packed workspaces, real-time human behavior monitoring is critical for ensuring safe collaboration among workers, minimal wastes of time and resources due to the lack of situational awareness, and timely project control. Current methods for detailed human behavior monitoring on construction sites rely on manual imagery data collection and analysis, which is tedious and error-prone. This paper presents a framework of automatic imagery data analysis that enables real-time detection and diagnosis of anomalous human behaviors during outages, through the integration of 4D construction simulation and object tracking algorithms.
AB - Nuclear power plant (NPP) outages involve maintenance and repair activities of a large number of workers in limited workspaces, while having tight schedules and zero-tolerance for accidents. During an outage, thousands of workers will be working around the NPP. Extremely high outage costs and expensive delays in maintenance projects (around $1.5 million per day) require tight outage schedules (typically 20 days). In such packed workspaces, real-time human behavior monitoring is critical for ensuring safe collaboration among workers, minimal wastes of time and resources due to the lack of situational awareness, and timely project control. Current methods for detailed human behavior monitoring on construction sites rely on manual imagery data collection and analysis, which is tedious and error-prone. This paper presents a framework of automatic imagery data analysis that enables real-time detection and diagnosis of anomalous human behaviors during outages, through the integration of 4D construction simulation and object tracking algorithms.
KW - Computer vision
KW - Construction automation
KW - Human factors
KW - Nuclear plant
KW - Project control
UR - http://www.scopus.com/inward/record.url?scp=84978829515&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978829515&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40247-5_61
DO - 10.1007/978-3-319-40247-5_61
M3 - Conference contribution
AN - SCOPUS:84978829515
SN - 9783319402468
VL - 9745
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 604
EP - 615
BT - Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management - 7th International Conference, DHM 2016 and Held as Part of HCI International 2016, Proceedings
PB - Springer Verlag
ER -