scholarly journals Semantic IFC Data Model for Automatic Safety Risk Identification in Deep Excavation Projects

2021 ◽  
Vol 11 (21) ◽  
pp. 9958
Author(s):  
Yongcheng Zhang ◽  
Xuejiao Xing ◽  
Maxwell Fordjour Antwi-Afari
Keyword(s):  
Information Integration ◽  
Data Model ◽  
Risk Identification ◽  
Project Planning ◽  
Information Modeling ◽  
Deep Excavation ◽  
Safety Risk ◽  
Semantic Data ◽  
Construction Risk ◽  
Central Database

Safety risk identification throughout deep excavation construction is an information-intensive task, involving construction information scattered in project planning documentation and dynamic information obtained from different field sensors. However, inefficient information integration and exchange have been an important obstacle to the development of automatic safety risk identification in actual applications. This research aims to achieve the requirements for information integration and exchange by developing a semantic industry foundation classes (IFC) data model based on a central database of Building Information Modeling (BIM) in dynamic deep excavation process. Construction information required for risk identification in dynamic deep excavation is analyzed. The relationships among construction information are identified based on the semantic IFC data model, involved relationships (i.e., logical relationships and constraints among risk events, risk factors, construction parameters, and construction phases), and BIM elements. Furthermore, an automatic safety risk identification approach is presented based on the semantic data model, and it is tested through a construction risk identification prototype established under the BIM environment. Results illustrate the effectiveness of the BIM-based central database in accelerating automatic safety risk identification by linking BIM elements and required construction information corresponding to the dynamic construction process.

A framework to dynamic identification of project risks

2020 ◽  
Vol 9 (4) ◽  
pp. 375-393 ◽  
Author(s):  
Farzaneh Moshtaghian ◽  
Mahmood Golabchi ◽  
Esmatullah Noorzai
Keyword(s):  
Information Integration ◽  
Risk Identification ◽  
Information Modeling ◽  
Dynamic Identification ◽  
Content Type ◽  
Positive Effects ◽  
Timely Completion ◽  
Building Information ◽  
Project Risks ◽  
The Right

PurposeMerging and updating project information and recording changes can give dynamic risk identification at all stages of the project. The main purpose of this research is to create an integration in construction information.Design/methodology/approachIn this research, the 5D model was prepared and then all model information was entered into the database designed in SQL Server, the project report tables were coded, and finally, a database with four groups of information was ready for risk identification.FindingsCreating an integrated risk identification platform reduced rework and time and cost control and change management, which were positive effects of risk identification at the right time.Research limitations/implicationsIn order to identify risks, creating multilateral databases whose information integration enables timely completion of the project and compliance with the planning.Practical implicationsThis research is the basis for identifying project risks within the framework of building information modeling and can be an effective contribution to increasing the risk-taking efficiency of the project.Originality/valueAs a matter of fact, marked time and cost are terrific motivating forces for the building industry, materializing with identify risk well-time. In any case, identifying risk engaged with all of the dimensions depend on this industry.

A Critical Analysis of Description Logics for Engineering Information Management

2006 ◽  
Author(s):  
Gregory Mocko ◽  
David W. Rosen
Keyword(s):  
Information Management ◽  
Data Model ◽  
Product Information ◽  
Description Logics ◽  
Information Modeling ◽  
Common Information ◽  
Semantic Data ◽  
Information Models ◽  
Engineering Design Problems ◽  
Engineering Information

Engineering information management (EIM), specifically the development of information models, is becoming increasingly important to facilitate the exchange of digital product information across the extended enterprise. A myriad of information models has been proposed for capturing a broad scope of design information. Recently, description logics (DLs) have received significant attention in current literature as an underlying representational formalism for developing engineering information models. In this paper, we address the question: “Why should description logics (DLs) be used for engineering information management (EIM)?” We identify the characteristics of engineering design problems and the requirements for EIM, review common information modeling formalisms, and critically evaluate the benefits of DLs over other representational formalisms. The use of DLs is illustrated for modeling engineering decision information. Finally, it is argued that DLs provides several advantages over other modeling formalism, including Semantic Data Model (SDM) and Object-Oriented Data Model (OODM), through a logic-based representation that enables reasoning to be performed for checking the consistency of the information model and providing a means for organizing the information into a hierarchical taxonomy.

scholarly journals Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3583
Author(s):  
Zhansheng Liu ◽  
Xintong Meng ◽  
Zezhong Xing ◽  
Antong Jiang
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Information Integration ◽  
Large Scale ◽  
Security Management ◽  
Information Modeling ◽  
Security Risk ◽  
Safety Risk ◽  
Digital Twin ◽  
Prefabricated Building

Safety management in hoisting is the key issue to determine the development of prefabricated building construction. However, the security management in the hoisting stage lacks a truly effective method of information physical fusion, and the safety risk analysis of hoisting does not consider the interaction of risk factors. In this paper, a hoisting safety risk management framework based on digital twin (DT) is presented. The digital twin hoisting safety risk coupling model is built. The proposed model integrates the Internet of Things (IoT), Building Information Modeling (BIM), and a security risk analysis method combining the Apriori algorithm and complex network. The real-time perception and virtual–real interaction of multi-source information in the hoisting process are realized, the association rules and coupling relationship among hoisting safety risk factors are mined, and the time-varying data information is visualized. Demonstration in the construction of a large-scale prefabricated building shows that with the proposed framework, it is possible to complete the information fusion between the hoisting site and the virtual model and realize the visual management. The correlative relationship among hoisting construction safety risk factors is analyzed, and the key control factors are found. Moreover, the efficiency of information integration and sharing is improved, the gap of coupling analysis of security risk factors is filled, and effective security management and decision-making are achieved with the proposed approach.

Information Models for Document Engineering

2011 ◽  
pp. 285-302
Author(s):  
James A. Thom
Keyword(s):  
Design Process ◽  
Data Model ◽  
Unified Modeling Language ◽  
Information Model ◽  
Structured Data ◽  
Information Modeling ◽  
Modeling Language ◽  
Semantic Data ◽  
Information Models ◽  
Entity Relationship

Software engineers develop an information model in the systems analysis and design process to represent the concepts, specification or implementation design of a software system (Fowler and Scott, 1997). This information model is designed using a modeling language such as the Unified Modeling Language (UML) defined by Rumbaugh, Jacobson, and Booch (1999). The software is implemented by translating the information model into code. Similarly, data engineers develop an information model in the database design process to represented the types of data to be stored in a database. This conceptual information model is typically defined using one of the semantic data modeling languages (Hull and King, 1987) such as Entity-Relationship diagrams (Chen, 1976), or NIAM conceptual schemas (Leung and Nijssen, 1988). The database is implemented by translating the information model into a database schema (defined using an implementation data model such as the relational data model or an object-oriented data model). Likewise, document engineers will develop an information model when designing the structure of a collection of documents. This information model will be implemented by translating it into a document schema. Traditional database information modeling has dealt with structured data such as that found in relational databases. However, much of the information produced using and stored in computers involves documents that do not contain data with a fixed structure - rather it is referred to as semi-structured data. The need for better modeling of documents is no more apparent than in the rapid and chaotic development over the last few years of the World Wide Web. In response to this need, various information models have been proposed to model the semi-structured data found in documents.

scholarly journals BIM-Integrated Collaborative Robotics for Application in Building Construction and Maintenance

Robotics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 2
Author(s):  
Camilla Follini ◽  
Valerio Magnago ◽  
Kilian Freitag ◽  
Michael Terzer ◽  
Carmen Marcher ◽  
...  
Keyword(s):  
Semantic Information ◽  
Building Information Modeling ◽  
A Priori ◽  
Building Construction ◽  
Information Modeling ◽  
Robotic Systems ◽  
Design Phase ◽  
Collaborative Robotics ◽  
Semantic Data ◽  
Building Information

The application of robotics in construction is hindered by the site environment, which is unstructured and subject to change. At the same time, however, buildings and corresponding sites can be accurately described by Building Information Modeling (BIM). Such a model contains geometric and semantic data about the construction and operation phases of the building and it is already available at the design phase. We propose a method to leverage BIM for simple yet efficient deployment of robotic systems for construction and operation of buildings. With our proposed approach, BIM is used to provide the robot with a priori geometric and semantic information on the environment and to store information on the operation progress. We present two applications that verify the effectiveness of our proposed method. This system represents a step forward towards an easier application of robots in construction.

Object-Oriented Analysis of an Information Model for Hull Piece Fabrication

1999 ◽  
Vol 15 (04) ◽  
pp. 207-221
Author(s):  
Jong Gye Shin ◽  
Won Don Kim
Keyword(s):  
Information Flow ◽  
Information Integration ◽  
Object Oriented ◽  
Information Model ◽  
Object Relation ◽  
Point Of View ◽  
Information Modeling ◽  
Product Model ◽  
Object Oriented Approach ◽  
Improved Accuracy

The production procedure of ship's hull plates includes hull modeling, lofting, cutting, and forming in sequence. Each process is isolated from the point of view of information flow and current practices in forming hull pieces are experience-dependent. This, in turn, reduces productivity and prevents the development of automation. To satisfy shipyards' demand for improved accuracy and enhanced productivity with mechanization or automation, it is necessary to collect production information, and to structure and maintain it in a well-organized manner. The objective of this paper is to propose an information model for ship's hull piece forming in a systematic manner. First, current shipyardsi practices and information flow relative to hull production process are described. From the point of view of information integration, the necessity of an information model is clarified. An information model for ship's hull piece forming is then proposed. For the information model, product model and concurrent engineering concepts are introduced. Since the construction of the information model with the two concepts requires an object-oriented approach, a new mixed-type, called here ‘hybrid’, object-oriented methodology for hull piece information model is defined. Based on the proposed methodology, the object association and operation analyses are carried out for the information modeling of hull piece forming. Through the analysis, the object-relation diagram shows that kinematics data is indispensable to construct the information model for hull piece forming.

Designing an Engineering Database for Telephone Networks

1991 ◽  
Author(s):  
Scott G. Danielson
Keyword(s):  
Data Structure ◽  
Data Model ◽  
Database Modeling ◽  
Telephone Networks ◽  
Semantic Data ◽  
Engineering Data ◽  
Engineering Database ◽  
Engineering Work ◽  
Entity Relationship ◽  
Semantic Data Model

Abstract An engineering database modeling telephone outside plant networks is developed. Semantic and relational database design methodologies are used with the semantic data model developed based on an extended entity-relationship approach. This logical model is used to generate a normalized relational data structure. This database holds engineering data supporting engineering analyses, engineering work order generation procedures, and network planning activities. The database has been linked to separate network analysis programs and CAD-based network maps by a database application.

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