Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data

Cheng, Tao; Teizer, Jochen; Migliaccio, Giovanni C.; Gatti, U.

doi:10.1016/j.autcon.2012.08.003

Cited by 164 publications

(78 citation statements)

References 31 publications

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“…Location-aware computing offers significant potential of improving such manual processes and supporting important decision making tasks in the field ). There have been a variety of technologies (e.g., Ultra Wideband, Global Positioning System, laser scanner) utilized to produce visualizations of the locations of resources on a construction site (Khoury and Kamat 2009, Pradhananga and Teizer 2013, Vasenev et al 2014, Pradhananga and Teizer 2015, Cheng et al 2013c, Cheng et al 2013d. However, there is a lack of real-time data visualization of such technologies within an indoor environment to determine a person's location inside the facility, as well as an aid for navigation (Teizer et al 2013, Cheng andTeizer 2013, b).…”

Section: Introductionmentioning

confidence: 99%

Fusing passive RFID and BIM for increased accuracy in indoor localization

Costin

Teizer²

2015

Vis. in Eng.

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Background: Finding the current location of a specific utility or oneself in an unfamiliar facility can be difficult and time consuming. The hypothesis tested in this paper is that using the information contained within Building Information Models (BIM) can increase the accuracy of indoor positioning algorithms using context-aware sensing technology. The presented work demonstrates how the integration of passive Radio Frequency Identification (RFID) tracking technology and Building Information Modeling (BIM) can assist indoor localization for potential applications in facilities management for proactive preventative maintenance.

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Section: Introductionmentioning

confidence: 99%

Fusing passive RFID and BIM for increased accuracy in indoor localization

Costin

Teizer²

2015

Vis. in Eng.

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“…Although the length of the experiment and size of the construction site did not allow such simulation, the availability of such information may yield optimization of near real-time planning of work spaces, including material handling (e.g., efficient delivery routes and positioning) and crew and equipment management (e.g., crews overlapping). As Cheng et al [33][34] have shown, information to safety, health, and productivity performance can be visualized. Figure 3.…”

Section: Workpace Parameter Computationmentioning

confidence: 99%

Global Positioning System Data to Model and Visualize Workspace Density in Construction Safety Planning

Zhang¹,

Teizer²,

Pradhananga

2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Safety as well as productivity performance in construction is often poor due to congested site conditions. We lack a formalized approach in effective activity-level construction planning to avoid workspace congestion. The objective of this study is to investigate and prototype a new Building Information Modeling (BIM) enabled approach for activity-level construction planning that can proactively improve construction safety. The presented method establishes automated workspace visualization in a building information model, using workspace modeling as an integral part of construction safety planning. Algorithms were developed for extracting activity-specific workspace parameters from workforce location tracking data. Global Positioning System (GPS) data loggers were attached to the workers' hardhats during the stripping activities of formwork of columns. Workspaces were then visualized on a BIM platform. The developed method can support project stakeholders, such as engineers, planners, construction managers, and site workers with the identification and visualization of required and congested workspaces, hence improving the foundation on how decisions are made related to construction site safety and health, as well as its potential impact on a productive, unobstructed work environment.

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“…Several practical field applications exist, for example, Radio Frequency Identification (RFID) for pipe spool tracking (Song et al 2006), Global Navigation Satellite System (GNSS) for earth hauling operations (Pradhananga and Teizer 2013), and wireless Real-time Location Sensing (RTLS) for tracking repetitive travel patterns of workers (Cheng et al 2013). As outlined by Sacks et al (2010) and Cheng et al (2010), much stronger ties between Lean, BIM, and tracking technology are needed.…”

Section: Digital Progress Trackingmentioning

confidence: 99%

Lean Production Controlling and Tracking Using Digital Methods

Heyl¹,

Teizer²

2017

25th Annual Conference of the International Group for Lean Construction

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Lean construction projects are understood as temporary production systems that eliminate waste, allow collaboration and optimize structures of the value added chain. Remaining crucial challenges in construction are the coordination of the involved trades and the tracking of construction progress. Current research in Lean Construction Management (LCM) targets automated digital methods that support work package planning and make inferences about states of progress. The scope of the presented work focuses on closing the feedback loop of lean construction planning, progress tracking, and status control by using 4D information from Building Information Modeling (BIM) as well as Internet-of-Things (IoT) technology for reporting actual progress.

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Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data

Cited by 164 publications

References 31 publications

Fusing passive RFID and BIM for increased accuracy in indoor localization

Fusing passive RFID and BIM for increased accuracy in indoor localization

Global Positioning System Data to Model and Visualize Workspace Density in Construction Safety Planning

Lean Production Controlling and Tracking Using Digital Methods

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