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X Vasques, T Possompes, H Rey, M Le Touzé, N Auboin, E Passot, B Lange

Analysis and knowledge discovery from sensors data to improve energy efficiency

Abstract: Increases in energy prices and the global goal of mitigating CO2 emissions necessitate the development of intelligent Building Management Systems (BMS) that operate on an energy-efficient basis. Data Centers, buildings and/or group of buildings are often responsible for huge energy consumption. One way to monitor and optimize energy consumption is to instrument buildings using sensors (temperature, pressure, humidity …) in order to track and solve wrong usage of energy management systems. The majority of the BMS are processing the data dynamically without taking into account the data history due to their constraint problems (time, bandwidth and calculation capability) and data resources. The RIDER project brings together a consortium of research laboratories and enterprises including IBM, to share their expertise in research and development of smart Information Technology (IT) energy platforms. In this context, we aim to improve energy efficiency of buildings or group of building (including data centers) using IT. One of the objectives is to identify valid, potentially useful, and ultimately understandable patterns in data for improving energy efficiency. We propose in this paper an approach of using an integrated platform able to interconnect instrumented buildings and sites, and to provide a high-level point of view for increasing our knowledge from sensors. The expected results are to estimate physical parameters that influence energy consumption based on data set history. Different correlation could be found between different variables, for example, indoor air quality and energy consumption. These results could be applied at a location where no sensor is placed and predict energy consumption from different variables.

Keywords: Energy-efficient buildings, Data Centers, Sensors, Predictive Analysis, Data set history.

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Series: w78:2011 (browse)
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Xiangyu Wang, Maaike Kleinsmann, Jingyu Chen

Understanding collaboration: industrial design versus constructability review

Abstract: Constructability review is frequently mentioned as solutions to industry-wide problems of improving de-sign efficiency and reducing construction errors. Despite numerous attempts to conduct constructability review, few practical implementations can be found in construction industry today. Inspired by the efforts of industrial researchers in investigating the collaborative aspects of integrated industrial design, the collaboration aspects in constructability review process (CRP) should be well addressed in order to fulfill the promises of constructability review. The study presented in this paper attempts to gain a better understanding of the collaborative process among parties from differ-ent disciplines in CRP. Insights and knowledge learned from highly integrated industrial design are transferred to con-structability review domain to gain better understanding of the collaborative interfaces, and the barriers and enablers that influence the creation of shared understanding among different parties. This paper also formulates a method for empirical study of the collaborative aspects in CRP. Future work is to conduct case studies on industrial CRP with the developed method.

Keywords: collaboration, enablers, barriers, interface, constructability review process, empirical study

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Series: w78:2007 (browse)
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Xiangyu Wang

Measuring tracking performance of video-based augmented reality systems for design and construction

Abstract: Recent advances in information and communication technology have brought computer vision tools to support construction and design operations. Video-based see-through Augmented Reality (AR) systems can merge live video streams with computer-generated information. Since video-based AR systems have a digitized image of the real environment, it is possible to detect features in the construction site and use those to enforce registration of computer-generated information onto the user’s real world view of construction site. Factors of sensing devices (e.g., video cam-era) including color tracking, zooming capabilities, focusing modes, and motion tracking could impose inherent delays on the user's real world view. This paper presents a study conducted to investigate those factors and augmentation ca-pability of video camera with reference to real-time streaming. The results assess the effectiveness and efficiency of video camera with motion recognition capabilities, and also the ability to augment the reality.

Keywords: virtual reality, augmented reality, computer vision, robotics, construction site

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Series: w78:2007 (browse)
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Xiaoning Ren, Zhenhua Zhu and Zhi Chen

Automatic Monitoring of Operating Equipment Efficiency for Air Pollutant Emission Estimation

Abstract: Construction activities are considered as one of the major air pollutant emissions sources. Specifically, construction equipment produces a large share of the emissions, including carbon oxides, nitrogen oxides, etc. on construction sites. Therefore, it is necessary to monitor and control the operating efficiency of the onsite equipment in order to reduce the amount of its air pollutant emissions. However, the current practices for monitoring and measuring the operating equipment efficiency is heavily dependent on the practitionersÕ observations. It is labour-intensive and time-consuming. The main objective of this paper is to present a novel method for automatically monitoring the operating equipment efficiency (OEE) with the fusion of visual and thermal data. Under the method, construction equipment is firstly located and tracked in the visual and thermal data. Based on the locating and tracking results, the equipment value-added activities are identified to determine its valuable operating time. Moreover, the total operating time is determined by checking the duration of the equipment with the running engine. This way, the OEE can be measured as the ratio of the valuable operating time over the total operating time. The method has been tested on the construction site of Poste De Lorimier in Montreal. The test results indicate its effectiveness.

Keywords: Operating Equipment Efficiency; Automation; Video Analysis; Thermal Data; Air Pollutant Emissions

DOI: https://doi.org/10.24928/JC3-2017/0207

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Series: jc3:2017 (browse)
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Yabuki N, Shitani T

An IFC-based product model for RC or PC slab bridges

Abstract: The authors developed a product model for reinforced concrete (RC) or prestressed concrete (PC) slab bridges on the basis of the Industry Foundation Classes (IFC) in order to enable interoperability of various application systems throughout the lifecycle of structures. Based on the analysis of the characteristics of RC or PC slab bridges, new classes for slabs, prestressing strands, sheaths, voids, rebars, and anchoring devices were defined. A feature of the model is that it clearly represents the relationship that the concrete slab contains elements such as rebars, prestressing strands, and voids by representing the concrete slab as a spatial structure element by B-rep. The ifcXML was selected to implement the developed product model after comparing with other XMLs. The authors implemented the schema of the product model and an instance of a prestressed concrete hollow slab bridge using ifcXML. To check the validity and practicality of the model, the product model was integrated with three application systems, by developing converter programs. The application test case shows improved efficiency and validity of the system.

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Series: w78:2003 (browse)
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Permission to reproduce these papers has been graciously provided by the University of Auckland. The assistance of the editor who provided the full texts and the structured metadata, Dr. Robert Amor, is gratefully appreciated.


Yongcheol Lee, Eunhwa Yang, Charles Eastman and Kathy Roper

Modularized Validation of a Building Information Model According to the Specifications of the Facility Management Handover and Cobie

Abstract: With increasing requirements and complexity in building projects, diverse domain experts employ a neutral file format, which is exchangeable and interoperable among heterogeneous BIM authoring tools and applications in diverse disciplines. The Construction-Operations Building Information Exchange (COBie) is a set of the specifications of building data exchange pertaining to building asset information. For interoperability, COBie is defined as a model view, which is the subset of the Industry Foundation Classes (IFC) schema. For ensured interoperability of BIM data, using COBie model view, domain professionals and software developers need to identify 1) whether their IFC instance files include required information on building asset management and 2) whether their IFC interfaces accurately import/export IFC files according to the COBie specifications. However, since no approach currently supports this validation testing, professionals manually evaluate an IFC instance file and their IFC binding processes in order to identify semantic errors, technical problems, and translation mapping issues. To enhance the efficiency of this time-consuming and labor-intensive evaluation process, this study proposes a validation framework for evaluating IFC instance files pertaining to the conformity to the COBie specifications. In addition, this study formalizes the requirements of the COBie model view using identified rule logic. For validation, rules are implemented on a modularized validation platform developed on top of the IfcDoc tool, which is a model view documentation and validation tool.

Keywords: BIM, IFC, Facility Management, Cobie, Interoperability Checking

DOI: https://doi.org/10.24928/JC3-2017/0080

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Zhiliang Ma and Zhe Liu

Ontology- and Freeware-Based Platform for Rapid Development of BIM Applications with Reasoning Support

Abstract: In the Architecture, Engineering and Construction (AEC) area, a remarkable tendency is to use the Building Information Modeling (BIM) data to carry out analysis and calculation based on rules specified in regulations or standards so that the BIM applications with reasoning support (BIM-R applications) are necessary. The current way to develop BIM-R applications separately and represent rules by coding or in proprietary formats has the problems of both cost and efficiency. To solve the problems, a new way is proposed, i.e. to use a platform for rapid development of BIM-R applications (BIM-R platform) implemented based on ontology and freeware components. The research establishes 1) the functional requirements of the BIM-R platform, 2) the mechanism to transform BIM data into ontology data, and 3) the architecture of the BIM-R platform, and selects freeware components to be used. A platform is implemented accordingly and applied to develop a prototype BIM-R application for as-bid cost estimation of buildings for verification. The proposed platform can help reduce cost and improve efficiency for the development of BIM-R applications and can be used by both researchers and developers.

Keywords: BIM (Building Information Modeling), Reasoning, Rapid Development Platform, Ontology, Freeware

DOI: https://doi.org/10.24928/JC3-2017/0330

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