A development of next generation intelligent construction liftcar toolkit for vertical material movement management

Cho, Chang-Yeon; Kwon, Soon-Wook; Shin, Tae-Hong; Chin, Sangyoon; Kim, Yea-Sang

doi:10.1016/j.autcon.2010.07.008

Cited by 46 publications

(22 citation statements)

References 2 publications

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“…2010). Hybrid methodologies by integrating RFID and Zigbee-based sensor networks were also applied for asset tracking and material management (Cho et al 2010;Cho et al 2011). RFID tags were used to identify materials, while the Zigbee communication technology was used to wirelessly transfer the collected information.…”

Section: Indoor Positioning Applications In Constructionmentioning

confidence: 99%

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

Soleimanifar

Lu²

2014

Proceedings of the Winter Simulation Conference 2014

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This paper describes the implementation of an indoor positioning architecture based on radio frequency profiling using received signal strength (RSS) measurements for localizing and tracking resources in construction-related applications. The profiling-based approach is coupled with commonly used noise filtering algorithms in order to cope with the application of material tracking in a pipe spool fabrication shop. With 95% likelihood, consistent positioning accuracy of 1-2 meters away from the actual position of a tracked tag can be obtained in the fabrication shop−which is deemed sufficient for materials and labor hours tracking in support of shop production control. In particular, through simulation experiments using data collected from a pipe fabrication shop we investigated the sensitivity of the resulting localization accuracy with respect to the quantity and layout of the reference points, aimed at streamlining system updating and simplifying solution implementation.

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Section: Indoor Positioning Applications In Constructionmentioning

confidence: 99%

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

Soleimanifar

Lu²

2014

Proceedings of the Winter Simulation Conference 2014

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“…Only a few early applications were implemented in practise. For example, in Cho et al (2011) the authors investigated vertical resource transports on construction sites. Selected resources were labelled with RFID tags and the corresponding elevators were equipped with stationary reading devices.…”

Section: Related Workmentioning

confidence: 99%

Integration of Uncertain Real-Time Logistics Data for Reactive Scheduling Using Fuzzy Set Theory

Szczesny¹,

KÃ¶nig²,

LauÃat³

et al. 2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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This paper considers the integration of uncertain real-time logistics data for reactive construction scheduling. In order to manage a construction project efficiently, an accurate schedule representing the current project progress is inevitable. The quality and up-to-dateness of such a schedule depends on the availability of real-time data. Typically, real-time logistics data contain information about the availability of material, equipment and personnel as well as delivery dates and site conditions. The accuracy and inherent uncertainty depends on the location where the real-time data was acquired. Currently, the integration of such data into a construction schedule is a very time-consuming, manual and, thus, errorprone process. Therefore, this paper proposes a methodology that enables an automatic integration of such uncertain data into construction schedules. By integrating uncertainties into the existing schedule their impacts on the construction work can be evaluated. For this, discrete event simulation is applied. In order to model uncertain input parameters for simulation models this methodology applies the fuzzy sets theory. In combination with alpha-cut sampling technique, discrete model input parameters are obtained. By applying reactive scheduling with several discrete event simulation experiments, the results can be used to modify construction schedules according to agreed timeframes and costs. In order to demonstrate and validate the presented approach an example is conducted.

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“…Software and hardware have also been studied. One study, by Cho C.Y et al [4] reported that the information of workers and materials can be sent to main server by wireless sensor networks. So they tried to develop hardware and software of lift car toolkit.…”

Section: Literature Review About the Automation Of The Liftmentioning

confidence: 99%

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

Lee¹,

Kwon²,

Lee³

2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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ABSTRACT:The objective of this study provide a conceptualization for the automation of lift car operations on high-rise building construction sites, in order to build high-rise building effectively and make a proper lifting plan. We got the week point of a hand-operated lift car, and got problems of an automatic lift car up to now. And we proposed the improvement schemes considered the week points and the problems for the automation of the lift car.

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A development of next generation intelligent construction liftcar toolkit for vertical material movement management

Cited by 46 publications

References 2 publications

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

Integration of Uncertain Real-Time Logistics Data for Reactive Scheduling Using Fuzzy Set Theory

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

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