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C Bogen, M Rashid, E W East

A Framework for Building Information Fusion

Abstract: Data reported by supervisory control and data acquisition (SCADA) systems is critical for evaluating the as-operated performance of a facility. Typically these systems are designed to support specific control domains, but facility performance analysis requires the fusion of data across these domains. Since a facility may have several disparate, closed-loop SCADA systems, resolution of data interoperability issues (heterogeneities) is a prerequisite to cross-domain data fusion. There are no general methods for resolving these heterogeneities in the context of a nonproprietary core building information model (BIM) format. This article describes how these standard data models are applied to a general framework for the integration of building information models and building sensor telemetry. Given the number of very large corporations, each with its own research agendas and proprietary products, and the large number of installed buildings, each with its own control systems, yet another control scheme or technology will not make an impact on improving this market. The authors propose solutions to these underlying data heterogeneities by adopting existing data standards and introducing new data schemas (only when necessary) based on consensus between industry, government, and academic stakeholders. The Industry Foundation Class (IFC) 2X4 controls domain is the foundation of the authors’ decomposition of SCADA systems as components, assemblies, and connections that relate to other objects in the facility. The Open Building Information eXchange (oBIX) provides the basis for the authors’ representation of raw telemetry streams that map to the underlying IFC model. The system concept described in this article is part of an effort that is expected to produce an Industry Foundation Class Model View Definition (MVD) for building SCADA systems, product type templates for building SCADA products, the architectural design of an integration platform, and the specification of common predictive and analytical functions for deriving usable intelligence from the integration framework.

Keywords: Smart Buildings, Data Fusion, Building Controls and Automation, Building Information Modeling (BIM), Industry Foundation Classes IFC

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Series: w78:2011 (browse)
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E. East, N. Nisbet & J. Wix

Lightweight Capture of As-Built Construction Information

Abstract: Discussions of Building Information Modeling (BIM) often center on commercial software and building geometry. Such discussions typically ignore the need for information capture and exchange during construction. This paper identifies several patterns of information exchange needed for the capture and delivery of construction handover data. A prototype tool set, bimServices, has been developed to support of these information exchange patterns. The paper also includes specific examples of how the prototype tool would be used to capture and transmit as-built construction information.

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Series: w78:2009 (browse)
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Griffith E D, Hicks D K, McGraw K D, Case M P

Towards model based design - a case study: the modular design system

Abstract: The U.S. Army Corps of Engineers has developed a tool called the Modular Design System (MDS) to assist design professionals in the processes of planning, design, and construction document preparation for repetitive facility types. The use of early versions of MDS has demonstrated a reduction in time by nearly two-thirds typically required to design and award a construction contract. Initially developed to support Army Reserve Training Centers, the USArmy Corps plans to expand its use over a wider range of repetitive facility types. The current implementation is a hybrid document/model approach consisting of electronic drawings linked by an external database. Data consistency issues associated with this architecture limit its scalability. To meet expanded requirements, the USArmy Corps is developing a model based information approach utilizing emerging commercially available object based CAD systems. This redesigned information infrastructure marks a fundamental change from an implicit to an explicit model-based representation. Three key capabilities make MDS a powerful tool. First, the ability to capture and reuse corporate design criteria at the architectural function level. Second, it provides an integration framework for engineering analysis. Third, it manages and integrates the contract document production.The underlying MDS information infrastructure will move towards a model based approach. Future work will focus on collaborative processes such as conflict resolution and design review. Additionally, MDS offers the opportunity to transfer an information rich model downstream to operations and maintenance.

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Full text: content.pdf (98,970 bytes) (available to registered users only)

Series: w78:1999 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.communication (0.023318) class.bestPractise (0.016810) class.store (0.013255)
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Permission to reproduce these papers has been graciously provided by the Research Press of the National Research Council of Canada. The support of the editors, particularly Dr. Dana Vanier, is gratefully appreciated.


Neely, E.S. and Neathammer, R.D.

Worldwide Maintenance Prediction Model for the United States Army

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Full text: content.pdf (977,210 bytes) (available to registered users only)

Series: w78:1986 (browse)
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Patrick C. Suermann & Raja R.A. Issa

CASE STUDIES: EVALUATING BUILDING INFORMATION MODELING IMPACT ON UNITED STATES ARMY CORPS OF ENGINEERS CONSTRUCTION

Abstract: Highlighted as test bed Districts for BIM implementation in the “U.S. Army Corps of Engineers (USACE) Building Information Modeling (BIM) Road Map,” Seattle and Louisville accomplished in-house BIM designs in 2005, three years before any other of the 43 Districts across the United States transitioned to a BIM-centered approach in 2008. However, while perceived benefits of BIM used on these test bed jobs are driving Corps-wide changes on billions of dollars of construction, these BIM-based projects were never critically evaluated for their benefits in the construction phase, creating a need for further investigation. Therefore, this research addressed the need and assessed BIM impact on construction projects according to the U.S. Army Corps of Engineers (USACE) internal metrics, the Consolidated Command Guidance (CCGs) metrics for military construction. Information garnered in the survey phase prior to onsite research at the Districts was used to guide research methodology assessing BIM effects on construction projects in the USACE Seattle and Louisville Districts. This research documented both quantitative and qualitative evidence demonstrated in BIM-based projects in Seattle and Louisville compared to similar projects (by facility use category code) to determine a correlation between BIM-based design and construction.

Keywords: Building Information Modeling (BIM), Key Performance Indicator (KPI), United States Army Corps of Engineers (USACE), construction, metrics

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Series: w78:2008 (browse)
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Spoonamore J H, Goettel B C

Group decision support system for facilities planning

Abstract: Institutions, both public and private, are restructuring due to major global changes: some of which include the unification of Europe, introduction of fiee enterprise in the Eastern European countries, and the major trade deficits of the United States. Given constrained finding available for building investments in a climate of major change in organizational goals, decision makers need improved planning tools for choosing optimal facility investments, just as for other investment decisions, This paper describes a facilities planning and prioritization system developed at the Army Corps of Engineers Construction Engineering Research Laboratory (CERL) which assists in selection and provides project information on costs and multiple attributes for describing requirements. The system provides multi-level prioritization information for use by decision groups within the organization hierarchy. In addition, proposed enhancements to this system include group decision information handling for realigning projects to the evolving goals of the organization.

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Full text: content.pdf (832,537 bytes) (available to registered users only)

Series: w78:1991 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.strategies (0.007715) class.economic (0.006620)
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Permission to reproduce these papers has been graciously provided by Eindhoven University of Technology.


Spoonamore J, Schneider R, Reddy P

Computer-aided long range planning of real property investments

Abstract: We develop a methodology for planners to use in preparing long range forecasts and address levels of uncertainty of these predictions to formulate facility investment plans. This proposed process includestwo stages, one for identification and evaluation of implications of trends on Army facilities, and the second, the methodology for long term capital investment decisions.

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Full text: content.pdf (1,148,786 bytes) (available to registered users only)

Series: w78:1992 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.synthesis (0.018926) class.strategies (0.009312)
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Permission to reproduce these papers has been graciously provided by Research Press of the National Research Council of Canada. The support of the editor, Dr. Dana Vanier, is gratefully appreciated.


Stump A L, Chin S, Liu L Y, Ganeshan R

Use of a relational database system to integrate product and process information during construction

Abstract: The facility product and process model created during design and planning evolves over the life-cycle of a facility project, fiom planning and design, construction, operation and maintenance, to renovatio/demolition. Integration of product and process models is required to represent process knowledge associated with product information so that richer semantics can be provided, and consistency and integrity of project information can be improved. This paper presents a conceptual data model for integrating a building product model with a process model. Product and process information during the construction phase is the main focus of this paper. The construction stage plays an important role in high quality information management for a project, because it is an intermediate stage between the design phase, and operation and maintenance. Complete as-built information and lessons learned which are captured during construction and associated with design components can contribute significantly to those involved throughout the life-cycle of a fhcility project. Current research efforts focus on information management based on multiple points of view and the management of changes and updates to integrate product and process information during construction. A grouping mechanism was adapted fiom previous research performed at the U.S. Army Corps of Engineers Construction Engineering Research Laboratories (USACERL) to associate a building product model with the process model at the lowest level. This grouping mechanism allows a user to group components according to the work zone, bid packages, and then relate the group to activities. Based on the conceptual model, a prototype system was developed by using relational database management system (RDBMS). This paper presents the conceptual model, prototype system, and outlines our fiture research plan to integrate product and process information using an object-oriented paradigm.

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Full text: content.pdf (1,329,069 bytes) (available to registered users only)

Series: w78:1995 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.processing (0.083421) class.deployment (0.070918) class.software development (0.019634)
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Permission to reproduce these papers has been graciously provided by the Stanford University, USA. The support of the editors, particularly Prof. Fischer is gratefully appreciated.


W East, N Nisbet

Facility Capacity Analysis

Abstract: Many public owners maintain large of building requirements in standard criteria publications. These criteria represent the combined knowledge of building owners based on their experience over decades of working on such buildings. While this information, such as, room data sheets are used during the architectural programming stage, the project team cannot use these criteria later to ensure that the facility continues to meet its intended function into construction and operations. Without knowing the capacity of building spaces, there is no way for building owners to effectively manage their facility portfolio. As the delivery of building information models becomes more prevalent, tools are needed to allow project stakeholders to evaluate the validity of those models. This paper presents model for facility capacity analysis based on an open specification for the expression of facility criteria and the application of that criteria using light-weight building information modeling tools.

Keywords: Building Information Modeling, BIM, Industry Foundation Class Model, IFC, Code Checking, Criteria CheckingView Definition, MVD, Code Checking

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Full text: content.pdf (135,724 bytes) (available to registered users only)

Series: w78:2011 (browse)
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