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A Vasenev, F Bijleveld, T Hartmann, A Dorée

Visualization of asphalt paving process during operations on site

Abstract: Presently important changes are occurring in the road construction industry, resulting in changing roles of road agencies and contractors. Additionally, a lot of new asphalt mixes with new properties are introduced, such as warm or even cold asphalt mixes, thin surfaces, etc. Despite these changes, the current asphalt paving process still heavily relies on the skills and experiences craftsmanship. Instruments to monitor key process parameters are seldom applicable. To overcome these limitations, real-time visualizations of key indicators such as asphalt temperature could provide decisive information to working teams oriented to adjust their operations on site. To move towards real-time decision making support, this paper introduces a workflow to deliver information in meaningful way by providing close to real-time and easily understandable visualizations of asphalt temperatures to roller operators. Using modern technologies like DGPS, temperature linescanner, and wireless connection on site it is possible to deliver visual information about asphalt temperature to support roller operators’ decision making regarding working paths. To implement user-oriented visualization we outlined an overall workflow including equipment selection, infrastructure organization, data processing and visualization phases. We validated the feasibility of workflow implementation through visualization of asphalt temperature on a real-world asphalt paving project.

Keywords: Asphalt paving, construction, infrared thermography, visualization

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Full text: content.pdf (285,779 bytes) (available to registered users only)

Series: w78:2011 (browse)
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A. Ahmed, J. Ploennigs, Y. Gao & K. Menzel

Analyse building performance data for energy-efficient building operation

Abstract: Modern buildings will contain an increasing number of wireless sensors and meters to monitor the building performance. This data allows improved analysis of building performance to increase the energyefficiency along with user comfort. This paper presents two approaches to analyse building performance data. One solution uses data warehouse techniques to create sophisticated energy consumption aggregations. A second approach implements data mining techniques to estimate the thermal comfort of occupants with a reduced number of sensors. This paper interprets the knowledge gained using, as an example, University College Cork’s building of the Environmental Research Institute to demonstrate the feasibility of this approach.

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Full text: content.pdf (1,507,477 bytes) (available to registered users only)

Series: w78:2009 (browse)
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Al-Jibouri S, Mawdesley M, Al-Mohamdi G

Information link model for construction using artificial intelligence

Abstract: This paper reports on a novel project model developed to help clients plan, monitor and control their construction projects. It describes a knowledge-based system designed for this purpose. The paper initially concentrates on the practical aspect of knowledge acquisition indicating problems that were faced and solutions employed. Following this, the structure of the knowledge-based system which was developed is outlined and its use described. Conclusions are drawn as to the applicability of the model and the final system. The work undertaken shows that it is feasible to benefit from the field of artificial intelligence to develop a project manager assistant computer program that utilises the benefit of information and its links.

Keywords: construction, information model, project control, knowledge-based system, artificial intelligence

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Full text: content.pdf (450,482 bytes) (available to registered users only)

Series: itaec:2003 (browse)
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Anfas Thowfeek, Nashwan Dawood, Ramesh Marasini, John Dean

Industrial case study of innovative managerial control system applied to site control process (IMCS-CON)

Abstract: Construction projects are complex, fragmented and highly risk business, due to the nature of construction operations. Therefore project managers require more efficient techniques and tools to plan and monitor the construc-tion project. In recent years many research studies have been carried out in order to make construction industry more efficient, profitable and attractive business. The IMCS-CON developed as decision support system for project mangers to assist project-controlling processes using a holistic approach. The IMCS-CON provide a framework to measure, analyse, review, and report performance data and enabling project management team to make corrective decision and keep project on track. The IMCS-CON system was evaluated using a case study of £2.3 million, three-story residential apartment building project in UK. The IMCS-CON system utilises multivariate statistical process control techniques to monitor the construction site variables. The MSPC combines a large number of variables into few independent vari-ables, which then can be monitored and any process deviations from the normal operating conditions can be identified with corrective actions suggested. The IMCS-CON models on-site information as quantitative variables and uses his-torical data and establishes patterns of correlated variables and assists project management in making future decisions. The outputs can also be visualised in multi-dimensional graphs. Statistics of external variables and internal variables influencing construction site operations were identified using a real life case study. The results of modelling the vari-ables and conducting experiments with IMCS-CON are analysed and discussed in this paper.

Keywords: performance measurement, construction process variables, statistical process control, construction proc-ess benchmarking, construction process improvement, construction productivity

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Full text: content.pdf (1,290,858 bytes) (available to registered users only)

Series: w78:2007 (browse)
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Bingfei Zhang and Zhenhua Zhu

Vision-Based Detection of Falls at Flat Level Surfaces

Abstract: Workers might experience fall accidents even when they are working at flat level surfaces. These accidents plus other types of fall accidents have been reported as one of the major causes for worker-related fatalities and injuries. Currently, it becomes common to set up video cameras to monitor working environments. The video cameras provide an alternative to detect fall accidents. The objective of this paper is to investigate the feasibility of detecting fall accidents of workers with video. The preliminary focus is put on the fall detection under one single monocular camera. A novel fall detection method is proposed. Under the method, workers in the videos captured by the video cameras are first detected and tracked. Their pose and shape related features are then extracted. Given a set of features, an artificial neural network (ANN) classifier is further trained to automatically determine whether a fall happens. The method has been tested and the detection precision and recall were used to evaluate the method. The test results with high detection precision and recall indicated the method effectiveness. Also, the lessons and findings from this research are expected to build a solid foundation to create a vision-based fall detection solution for safety engineers.

Keywords: Fall Detection, Video Processing, Computer Vision, Safety Management

DOI: https://doi.org/10.24928/JC3-2017/0198

Full text: content.pdf (1,275,832 bytes) (available to registered users only)

Series: jc3:2017 (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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Cox S, Perdomo J, Thabet W

Construction field data inspection using pocket PC technology

Abstract: Construction projects are characterized by the large amount of data that needs to be collected, processed, and exchanged among the different project participants. Collection of construction inspection data, in particular, allows field personnel to monitor project performance with the ultimate goal of improving productivity and lowering costs. Current practices for recording and filing of field inspection data are mainly paper-based. This manual process using paper forms is a time consuming and tedious task. Not only is the clerical expense of this process very high, but also the organization and review of the information commands an inordinate amount of time by a project manager, of which most managers posses very little. Continuous evolvement and improvements of the Pocket PC and its hardware/software technologies, including more powerful processors, smaller storage devices, higher quality displays, and wide availability of third party application software, have made it possible for these devices to become stand alone systems with powerful functional capabilities. Because of their high mobility characteristics due to their small size and light weight, Pocket PCs can be used in the construction field to perform various tasks including recording of inspection data. This paper describes an application for automating the collection process of field inspection data using Pocket PCs. The application allows for recording, processing, and distribution of quality compliance inspection information of various tasks performed in the field. The application is developed using HandBaseTM database software from DDH Software, Inc. and is implemented using a Compaq iPAQ H3870 Pocket PC.

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Full text: content.pdf (451,415 bytes) (available to registered users only)

Series: w78:2002 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.man-man (0.013437) class.software-software (0.008948) class.store (0.005362)
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Permission to reproduce these documents have been graciously provided by the Aarhus School of Architecture, Denmark. The assistnace of the editor, Prof. Kristian Agger, is gratefully aprecciated.


D Grau, A Abbaszadegan, P Tang, R Ganapathy, J Diosdado

A Combined Planning and Controls Approach to Accurately Estimate, Monitor, and Stabilize Work Flow

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Full text: content.pdf (209,456 bytes) (available to registered users only)

Series: w78:2014 (browse)
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D. Zuppa & Raja R.A. Issa

ALIGNING INTERESTS KEY TO DEVELOPING TRUST IN DEPLOYING COLLABORATIVE TECHNOLOGIES IN CONSTRUCTION

Abstract: The importance of trust in construction is well documented especially when the desire is to encourage people to work as a team and to collaborate on construction projects using diverse information technologies. Trust is an integral component of effective teams, successful partnering, and implementing new technology. Building and maintaining trust between contracting parties can lower costs, improve performance and minimize disputes. Construction literature has discussed the types of trust, dimensions of trust and trust building tools. However, a need exists to further explore the importance of aligning the interests of contracting parties. Aligning interests are in addition to the traditional critical success factors for construction projects (profit, cost, schedule, quality). Trust is a state of mind that is strengthened or weakened as each party’s hierarchical and subjective interests are supported or challenged. This paper presents an integrated trust model and describes strategies aimed to build and maintain trust in construction when using collaborative technologies. The model further demonstrates that project managers using a specified strategy and system to elicit, monitor and align collaborative interests , in addition to other traditional measures of project success, can improve the likelihood of building and maintaining trust in deploying collaborative technologies in construction.

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Full text: content.pdf (214,517 bytes) (available to registered users only)

Series: w78:2008 (browse)
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Gursans Guven and Esin Ergen

Progress Monitoring of Masonry Work Via Resource Tracking Using Sensor-Based Technologies

Abstract: Current manual methods used for construction activity monitoring is costly and error-prone, and they lead to inefficient decision making, delays and cost overruns. The aim of this study that is explained in this paper is to automatically monitor construction activities by tracking major resources by fusing sensor-based technologies. This study specifically focuses on double-shift construction sites and proposes an approach that can be used both during the day and night shifts. A proof-of-concept prototype was developed and implemented at a construction site for monitoring the progress of masonry work. The resources that were tracked were the equipment used in performing the activity (i.e., tower crane and construction hoist) and the bulk material (i.e., reusable concrete masonry block pallets). This paper provides the requirements identified for utilizing the technologies (i.e., position and load sensors on tower crane and RFID system on hoist) to track construction equipment and bulk material in monitoring the masonry work progress. The prototype development and the test set-up are described. Finally, the preliminary results achieved during the implementation of the prototype and the challenges observed are presented.

Keywords: Automated Progress Monitoring, Equipment Tracking, Sensor-Based Technologies

DOI: https://doi.org/10.24928/JC3-2017/0170

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Series: jc3:2017 (browse)
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