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C Gouy-Pailler, H Najmeddine, A Mouraud, F Suard, C Spitz, A Jay, P Maréchal

DISTANCE AND SIMILARITY MEASURES FOR SENSORSSELECTION IN HEAVILY INSTRUMENTED BUILDINGS:APPLICATION TO THE INCAS PLATFORM

Abstract: Energy management in residential buildings is taking an increasing role in the construction workflows.It entails understanding thermal processes at stake in the buildings and quantifying energyconsumption, which meets inhabitants comfort requirements. Experimental platforms such as INCASaim at providing experts with a practical way to study such problems in real conditions. These heavilyequipped buildings yield huge amounts of real-time data (sampling rates, number and types of sensors)for which new automatic approaches could be useful to thermal experts. Generic similarity measuresfrom data-mining could therefore provide comprehensive analysis tools to thermal experts. This paper focuses on the ability of some distance and similarity measures to organize millions ofdata from homogeneous and heterogeneous sensors into coherent clusters. Simplifying datainterpretations to thermal experts in highly equipped buildings, this approach could also stand as abasis for studying smart grids of less equipped domestic houses studies. Two types of similarity measures are explored. The first one consists of a set of three distances,and accounts for differences in terms of amplitude scaling and shifting between pairs ofmeasurements. It relies on the comparison of homogeneous sensors by quantifying the relativeproximity of their amplitude in terms of mean value, variance and time shift. The second type ofsimilarity measure employs a pre-processing step transforming continuous signals into binary events.The resulting spike trains are then compared by quantifying the amount of unitary transformations(events moves or events deletions/additions) needed to align pairs of events sequences. These proximity measures are computed on real data from experimental buildings of the INCASplatform. It comprises three experimental buildings (with different construction types) dedicated totesting various approaches regarding systems, control and energy-saving policies. These geometricallyidentical buildings are equipped with hundreds of sensors measuring temperature, humidity,differential pressure, and others data at various positions of the structures with sampling rates of onemeasurement per minute. Simulation-based temperatures are integrated in the sensors set providing acomparison between real and simulated data. Results illustrate the contribution of the applied methods when dealing with large amounts ofmeasurements related to instrumented buildings behaviors. Actually results show that coherent clustersregarding distinct signal properties are automatically generated. These clusters can be used fordimensionality reduction (clusters of sensors could be summarized by a single virtual measurement),or relative comparisons between sensors or between real and simulated datasets.

Keywords: INCAS, low-energy consumption, sensor selection, multivariate data mining

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Series: w78:2011 (browse)
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CA Jacoski

Prototype of semantic interoperability between different modalities of 2D-CAD design

Abstract: The diffusion of specific computational tools for Architecture, Engineering and Construction (AEC) has generated a great amount of digital data in the last years. However, it is necessary for the sector to promote a standardization of such data so that they can be shared among the participants and partners of a design project. Trying to correct the problem of information exchange and mainly of data interoperability, a research project was carried out within design offices in the south of Brazil, identifying the problems and quantifying losses according to the lack of interoperability. For generation of information starting from the CAD design and as a way of enlarging the communication among the partners, a study was held about the use of the IFC classes (Industry Foundation Classes) - a pattern used to transfer data among design modalities. The result was an application of syntactic conversion of attributes of the IFC classes for XML, to attest the viability of technical integration and to transfer information to a web-based environment. As a result of the investigation, a prototype was elaborated for transferring information from CAD design to web-based applications. By using IFC classes, a program was developed in Java language for the syntactic and semantic exchange, with the automatic conversion of the information for standard XML. It was observed that the decrease of interoperability problems, checking the viability of technical integration of the design with the shared information through the web.

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Series: w78:2005 (browse)
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Permission to reproduce these papers has been graciously provided by the Technische Universität Dresden.


Ibrahim Yitmen, Huseyin Sevay, Cem Taneri and Hakan Yalciner

An Expert System For Quantifying The Impact Of Change Orders On Project Performance

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Series: w78:2006 (browse)
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L Zhang, N M El-Gohary

Quantifying the Environmental, Social, and Economic Value of Educational Building Projects using BIM Data

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Series: w78:2014 (browse)
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R Morkos, J Macedo, M Fischer, C Somu

Quantifying Effects of Specific 4D Tool Functionalities on 4D Modeling Productivity

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Series: w78:2012 (browse)
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R.P. West, AV.V. Hore, L O’Connell

ELECTRONIC TENDERING: DELIVERING BUSINESS EFFICIENCIES FOR THE IRISH CONSTRUCTION INDUSTRY

Abstract: The tendering process predominantly adopted in the Irish construction industry is highly paper- dependent. However, the increase in the availability of Information Communications Technology (ICT) has meant that construction consultants can disseminate information more cost effectively in an electronic format. The aim of this paper is to present the results of an industry-led network project undertaken by the Construction Information Technology Alliance (CITA) in Ireland. This project aimed to demonstrate how greater effectiveness and efficiency can be brought to bear on the tendering process by the application of ICT already used widely in other industries. The paper outlines the inefficiencies of the current tendering procedures, the results of an observation study, industry survey and progress on a simulation project. The project will specifically focus on the exchange of data between network members by quantifying the inefficiencies in current processes and by demonstrating the potential benefits to be won through a live eTendering project.

Keywords: Construction, electronic tendering, information exchange

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Series: w78:2008 (browse)
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Wenying Ji and Simaan Abourizk

Implementing a Data-Driven Simulation Method for Quantifying Pipe Welding Operator Quality Performance

Abstract: This paper proposes a framework for implementing a Markov Chain Monte Carlo (MCMC)-based posterior distribution determination approach to quantify pipe welding operator quality performance for industrial construction projects. The existing quality management data and engineering design data from a pipe fabrication company are processed and analysed to demonstrate the feasibility and applicability of the proposed approach. Through the use of a specialised Metropolis-Hastings algorithm, operator welding performance is quantified and uncertainty is incorporated. Practitioners can utilize outputs of the proposed method to infer operator welding quality performance of a particular weld type and identify operators with exceptional quality performance. Potential applications of the research findings are discussed from the perspectives of production planning, employee training, and strategic recruiting.

Keywords: Industrial Construction, Pipe Fabrication, Quality Management, Fraction Nonconforming, Markov Chain Monte Carlo (MCMC)

DOI: https://doi.org/10.24928/JC3-2017/0011

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