A distributed data collection and management framework for tracking construction operations

Construction work typically means producing on shifting locations. Moving materials, equipment and men efficiently from place to place, in and in between projects, depends on good coordination and requires specialized information systems. The key to such information systems are appropriate approaches to collect de-centralized sensor readings and to process, and distribute them to multiple end users at different locations both during the construction process and after the project is finished. This paper introduces a framework for the support of such distributed data collection and management to foster real-time data collection and processing along with the provision of opportunities to retain highly precise data for post-process analyses. In particular, the framework suggests a scheme to benefit from exploiting readings from the same sensors in varying levels of detail for informing different levels of decision making: operational, tactical, and strategic. The sensor readings collected in this way are not only potentially useful to track, assess, and analyse construction operations, but can also serve as reference during the maintenance stage. To this extent, the framework contributes to the existing body of knowledge of construction informatics. The operationality of the framework is demonstrated by developing and applying two on site information systems to track asphalt paving operations

[1]  Zhongke Shi,et al.  A performance evaluation of vision and radio frequency tracking methods for interacting workforce , 2011, Adv. Eng. Informatics.

[2]  Stephen Mak,et al.  Using a real-time integrated communication system to monitor the progress and quality of construction works , 2008 .

[3]  Hyojoo Son,et al.  Multiimaging Sensor Data Fusion-Based Enhancement for 3D Workspace Representation for Remote Machine Operation , 2013 .

[4]  Changyoon Kim,et al.  On-site construction management using mobile computing technology , 2013 .

[5]  Kamel S. Saidi,et al.  Static and dynamic performance evaluation of a commercially-available ultra wideband tracking system , 2011 .

[6]  Ioannis Brilakis,et al.  Testing in harsh conditions: Tracking resources on construction sites with machine vision , 2011 .

[7]  Carlos H. Caldas,et al.  Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models , 2011, Adv. Eng. Informatics.

[8]  Jochen Teizer,et al.  Real-time construction worker posture analysis for ergonomics training , 2012, Adv. Eng. Informatics.

[9]  Jochen Teizer,et al.  Leveraging passive RFID technology for construction resource field mobility and status monitoring in a high-rise renovation project , 2012 .

[10]  Amy J. C. Trappey,et al.  Special issue on RFID and sustainable value chains , 2011, Adv. Eng. Informatics.

[11]  Weisheng Lu,et al.  Scenarios for applying RFID technology in construction project management , 2011 .

[12]  Daniel W. Halpin,et al.  Planning and analysis of construction operations , 1992 .

[13]  Carl T. Haas,et al.  Multisensor data fusion for on-site materials tracking in construction , 2010 .

[14]  Lingguang Song,et al.  Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling , 2012 .

[15]  Ioannis K. Brilakis,et al.  Automated computation of the fundamental matrix for vision based construction site applications , 2011, Adv. Eng. Informatics.

[16]  R.J. Scherer,et al.  A distributed multi-model-based Management Information System for simulation and decision-making on construction projects , 2011, Adv. Eng. Informatics.

[17]  Yo-Ming Hsieh,et al.  A scalable IT infrastructure for automated monitoring systems based on the distributed computing technique using simple object access protocol Web-services , 2009 .

[18]  Henderikus Lodewikus ter Huerne,et al.  Compaction of asphalt road pavements : using finite elements and critical state theory , 2004 .

[19]  Dong-Eun Lee,et al.  Ad-hoc performance of wireless sensor network for large scale civil and construction engineering applications , 2012 .

[20]  Jochen Teizer,et al.  Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots , 2012, Adv. Eng. Informatics.

[21]  Ning Gu,et al.  Information lifecycle management with RFID for material control on construction sites , 2013, Adv. Eng. Informatics.

[22]  Timo Hartmann,et al.  Measuring and visualizing hot mix asphalt concrete paving operations , 2011 .

[23]  Amir H. Behzadan,et al.  An integrated data collection and analysis framework for remote monitoring and planning of construction operations , 2012, Adv. Eng. Informatics.

[24]  Vineet R. Kamat,et al.  Integration of infrastructure based positioning systems and inertial navigation for ubiquitous context-aware engineering applications , 2011, Adv. Eng. Informatics.

[25]  Simaan M. AbouRizk,et al.  A framework for an automated and integrated project monitoring and control system for steel fabrication projects , 2011 .

[26]  Anu Pradhan,et al.  A taxonomy of reasoning mechanisms and data synchronization framework for road excavation productivity monitoring , 2012, Adv. Eng. Informatics.

[27]  Juan Carlos Niebles,et al.  Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers , 2013, Adv. Eng. Informatics.

[28]  Patricio A. Vela,et al.  Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments , 2011 .

[29]  Ioannis K. Brilakis,et al.  Automated vision tracking of project related entities , 2011, Adv. Eng. Informatics.

[30]  Jing Sun,et al.  Compaction Quality Control of Earth-Rock Dam Construction Using Real-Time Field Operation Data , 2012 .

[31]  Timo Hartmann,et al.  Implementing information systems with project teams using ethnographic-action research , 2009, Adv. Eng. Informatics.

[32]  Burcu Akinci,et al.  Data Fusion Approaches and Applications for Construction Engineering , 2011 .

[33]  Anu Pradhan,et al.  Formalisms for query capture and data source identification to support data fusion for construction productivity monitoring , 2011 .

[34]  Wolfgang Marquardt,et al.  An ontology based approach for operational process modeling , 2011, Adv. Eng. Informatics.

[35]  Ioannis Brilakis,et al.  Comparative study of vision tracking methods for tracking of construction site resources , 2011 .

[36]  Jeffrey S. Russell,et al.  Intelligent navigation strategies for an automated earthwork system , 2012 .

[37]  Frank Bijleveld,et al.  VISUALIZATION WORKFLOW AND ITS IMPLEMENTATION AT ASPHALT PAVING CONSTRUCTION SITE , 2011 .

[38]  Mani Golparvar-Fard,et al.  Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques , 2011 .

[39]  Joachim Hammer,et al.  An architecture for decision support in ad hoc sensor networks , 2009, J. Inf. Technol. Constr..

[40]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[41]  Tao Cheng,et al.  Automated task-level activity analysis through fusion of real time location sensors and worker's tho , 2013 .

[42]  John M. Kamara,et al.  A framework for using mobile computing for information management on construction sites , 2011 .

[43]  Holger Ziekow,et al.  Modeling trade-offs in the design of sensor-based event processing infrastructures , 2012, Inf. Syst. Frontiers.

[44]  Seirgei Rosario Miller,et al.  Hot mix asphalt construction: towards a more professional approach , 2010 .

[45]  Jie Gong,et al.  An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations , 2011 .

[46]  François Peyret,et al.  The computer Integrated Road construction project , 2000 .

[47]  Sherali Zeadally,et al.  Guest editorial: Advances in RFID technology , 2010, Inf. Syst. Frontiers.

[48]  Chimay J. Anumba,et al.  RFID-facilitated construction materials management (RFID-CMM) - A case study of water-supply project , 2011, Adv. Eng. Informatics.

[49]  Chengliang Liu,et al.  Integrating field data and 3D simulation for tower crane activity monitoring and alarming , 2012 .

[50]  Carl T. Haas,et al.  Using reference RFID tags for calibrating the estimated locations of construction materials , 2011 .

[51]  Patricio A. Vela,et al.  Personnel tracking on construction sites using video cameras , 2009, Adv. Eng. Informatics.