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A Costin, J Teizer

Utilizing BIM for Real-Time Visualization and Indoor Localization of Resources

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Series: w78:2014 (browse)
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Costin A,Shaak A,Teizer J,Pfeffer G,Khanzode A,Saripally D,Chao O,Schoner B,Shah S

Passive RFID-based asset tracking and project management on a large hospital project

Abstract: As construction job sites get larger and more complex, the need to increase building protocol control and safety is becoming more necessary. Having a real-time tracking system for materials, equipment and personnel of a job site will help project managers to enhance the safety, security, quality control, and worker logistics of a construction project. In this paper we will present the method of integrating Radio Frequency Identification (RFID) and Building Information Modeling (BIM) for real-time tracking of materials, equipment, and personnel. The purpose is to generate real-time data to monitor for safety, security, quality control, and worker logistics, and to produce leading indicators for safety and building protocol control. The concept of reference tags will be utilized along with a cloud server, mobile field devices, and software to assist the project managers with staying connected with the job site, from supply chain management to installation. Hardware components include RFID tags, portal RFID readers, fixed turn-style readers, and mobile handheld devices. The system was deployed on a 900 thousand square feet hospital project that consisted of three major buildings, 125 contractors, and 1,200 workers. Preliminary results show that the integration of these technologies enhances productivity, reduces scheduling issues, assists in subcontractor management, and provides real-time information on deployed crews and building activities. High-level metrics have been developed at the project and large contractor level. Additionally, the system also provided real-time information on local worker participation as part of the project goal. Based on experimental analysis, we demonstrate that the RFID and BIM system is a practical and resourceful tool to provide real-time information and location tracking to increase safety, security, and building protocol control.

Keywords: Asset tracking,Building information modeling (BIM),Building protocol,Cloud Server,Human resources,Passive radio frequency identification (RFID),Project management,Quality control,Safety,Security,Worker Logistics

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Series: convr:2013 (browse)
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Costin, A., Sedehi, A., Williams, M., Li, L., Bailey, K., and Teizer, J.

Leveraging Passive Radio Frequency Identification Technology in High-Rise Renovation Projects

Abstract: The hypothesis is that leveraging automated data collection technology for site status analysis would play a more significant role in advancing decision making in construction projects if applied to traditional labor intensive management work tasks such as manual data record keeping, progress tracking measurements, and reporting of daily work tasks and process flows; and further, if applied in distributing information back to decision makers including the field management and workforce level. This paper will demonstrate results to a one year long case study on the design, development, and furthermore and mainly, the effective and very affordable implementation of a state-of-the-art wireless passive RFID based technology system that collects and distributes information from and to decision makers. The developed technology was tested for several consecutive months on more than 50 construction workers, material carts, personnel and material lifts, and hundreds of construction material items that were critical in a high-rise building renovation project. Recent research on material tracking, has demonstrated that the implementation of material tracking technology is feasible. Studies have yet to demonstrate whether the same or other technology can be used on other resource types, including workers, and furthermore in advancing technology that works bi-directional: (1) collect and analyze data, and (2) return feedback or other information back to the decision makers. Despite a rigorous cost-benefit, hardware reliability and safety tests, implementation of technology in field operations is often performed on an as-needs basis. Project based case studies are effective research tools to measure the benefits and barriers that technology comes with. This paper defines key metrics to measure success in the phases of data collection, the signal and data processing, and in the use of newly generated or already available information for advanced decision making based on passive RFID technology.

Keywords: RFID; productivity; renovation project; workforce, material, and workforce tracking; automation

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Full text: content.pdf (726,652 bytes) (available to registered users only)

Series: w78:2010 (browse)
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Frederic Bosche, Jochen Teizer, Carl T. Haas and Carlos H. Caldas

Integrating Data From 3D CAD And 3D Cameras For Real-Time Modeling

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Full text: content.pdf (1,564,526 bytes) (available to registered users only)

Series: w78:2006 (browse)
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J Wang, N Pradhananga, J Teizer

Automatic Fall Risk Identification Using Point Cloud Data in Construction Excavation

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Series: w78:2014 (browse)
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Jochen Teizer, Frederic Bosche, Carlos H. Caldas, and Carl T. Haas

Real-Time Spatial Detection And Tracking Of Resources In A Construction Environment

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Series: w78:2006 (browse)
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Juergen Melzner, Jochen Hanff and Jochen Teizer

Pattern-Based Generation of 4D-Schedules for Robust Construction Management

Abstract: The creation of construction schedules is a time-consuming manual process. While project planning depends on many tasks and parameters, the quality of schedules highly relates on the engineers' experience and the access to reliable, historical project data. While knowledge applied from software can assist an engineer, the main shortcoming of current tools is the separation in generating building information and construction process models. Proposed is a knowledge-based system that automatically generates 4D-schedules based on building information models. Patterns are used to generate a process model for repetitive work flows, such as placing formwork, reinforcing, and concreting. Pattern-enriched attributes, i.e. the topology of the building structure, are automatically applied to objects in the model. Resource allocation, such as varying the performance factors or the amount of work crews, becomes possible. Such analysis can still be evaluated and exported in the format of traditional Gantt-diagrams or color-coded 4D-schedules and the construction process model can be used for detailed scheduling, construction time control, and time-based quantity evaluations. The developed approach was validated for the concreting work of a 12-story tall office building under construction. Preliminary results indicate gains in accuracy and efficiency of the developed approach compared to the traditional scheduling process.

Keywords: 4D, Construction Schedules, Building Information Modelling (BIM), Simulation

DOI: https://doi.org/10.24928/JC3-2017/0223

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N Pradhananga, J Teizer

Congestion Analysis for Construction Site Layout Planning using Real-Time Data and Cell-Based Simulation Model

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Series: w78:2014 (browse)
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Olga Golovina and Jochen Teizer

BIM4LIFE: GNSS and BIM Data Fusion for Mapping Human-Machine Interaction

Abstract: This paper presents an effective approach towards integrating Real-time Location Sensing (RTLS) and Building Information Modeling (BIM) data for mapping near hit events related to human-machine interaction on construction sites. The study under the concept called BIM for lean and injury free environments (BIM4LIFE) focuses on key managerial and technological issues in planning safe and productive work environments: (a) the reliance of current performance measurement practices on lagging instead of adapting to leading indicator data and (b) the common unstructured nature and dynamic progress of construction work environments making it difficult to collect data that leads to quality information. Both call for reliable information and communication technology (ICT) in infrastructure and information management processes to advance safety in construction. The data employed are trajectories from Global Navigation Satellite System (GNSS) data loggers, while an as-is building information model and a-priori collected true geometric equipment information are the other main data sources. The initial result of the data fusion process is a heat map that precisely analyses pedestrian worker and equipment interactions. The novelty of this work lies in solving the interface issues from RTLS data to BIM and to automated protective safety equipment modelling. The methods were tested in realistic work settings. The paper concludes with a critical review on the reliability of the methods employed as well as an outlook on possible changes to current work practices.

Keywords: BIM4LIFE, Construction Safety, Remote Sensing, Equipment Operator Visibility, Human-Machine Interaction, Building Information Modelling (BIM)

DOI: https://doi.org/10.24928/JC3-2017/0185

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R Collins, S Zhang, K Kim, J Teizer

Integration of Safety Risk Factors in BIM for Scaffolding Construction

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