scholarly journals Ontology-based approach to data exchanges for robot navigation on construction sites

2021 ◽  
Vol 26 ◽  
pp. 546-565
Author(s):  
Sina Karimi ◽  
Ivanka Iordanova ◽  
David St-Onge
Keyword(s):  
Data Collection ◽  
Semantic Web ◽  
Data Transfer ◽  
Robot Navigation ◽  
Information Modeling ◽  
Construction Sites ◽  
Standard Format ◽  
Semantic Data ◽  
Building Information ◽  
Data Translation

As the use of autonomous Unmanned Ground Vehicles (UGV) for automated data collection from construction projects increases, construction stakeholders have become aware of a problem with inter-disciplinary semantic data sharing and exchanges between construction and robotic. Cross-domain data translation requires detailed specifications especially when it comes to semantic data translation. Building Information Modeling (BIM) and Geographic Information System (GIS) are the two digital building technologies used to capture and store semantic information for indoor structures and outdoor environments respectively. In the absence of a standard format for data exchanges between the construction and robotic domains, the tools of both industries have yet to be integrated into a coherent deployment infrastructure. In other words, the semantics of BIM-GIS cannot be automatically integrated by the robotic platforms currently being used. To enable semantic data transfer across domains, semantic web technology has been widely used in multi-disciplinary areas for interoperability. This paves the way to smarter, quicker and more precise robot navigation on construction sites. This paper develops a semantic web ontology integrating robot navigation and data collection to convey the meanings from BIM-GIS to the robot. The proposed Building Information Robotic System (BIRS) provides construction data that are semantically transferred to the robotic platform and can be used by the robot navigation software stack on construction sites. To meet this objective, first, knowledge representation between construction and robotic domains is bridged. Then, a semantic database integrated with the Robot Operating System (ROS) is developed, which can communicate with the robot and the navigation system to provide the robot with semantic building data at each step of data collection. Finally, the BIRS proposed system is validated through four case studies.

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.

scholarly journals Longitudinal Study on Construction Organization’s BIM Acceptance

2020 ◽  
Vol 10 (15) ◽  
pp. 5358
Author(s):  
Seulki Lee ◽  
Jungho Yu
Keyword(s):  
Longitudinal Study ◽  
Structural Equation ◽  
Information Modeling ◽  
Equation Modeling ◽  
Construction Sites ◽  
Factors Affecting ◽  
Construction Organizations ◽  
Building Information ◽  
Construction Organization ◽  
Acceptance Model

The Korean domestic market is focused on the introduction of BIM (Building Information Modeling) owing to an influx of investment due to increased interest and mandatory application of BIM. However, the rate of BIM introduction is high, while BIM user proficiency is low. Against these problems, the authors proposed an acceptance model for BIM in construction organizations in 2012. As the number of BIM application cases increases and the number of BIM-trained users increases as time goes on, BIM users’ positive perception of BIM values are expected to increase, which may change the BIM acceptance mechanism. Therefore, we conducted a longitudinal study of the 2012 BIM acceptance model against 2019 data to estimate changes in factors affecting BIM acceptance attitudes as well as the mechanism of the relationships between factors over time spent using the technology. To generalize the results, the respondents were spread across construction sites. The data obtained 119 samples from a sample of experienced users of BIM. We used AMOS 21.0 for hypothesis testing of structural equation modeling (SEM), and the 2019 BIM acceptance model was compared against the 2012 acceptance model using an independent sample t-test. As a result, it was confirmed that the 2012 BIM acceptance model is still suitable for describing the BIM acceptance mechanism of the construction organization, and there was a difference between the 2012 model and the 2019 model. This seems to have changed the mechanism of BIM acceptance by being change perception of BIM users as time goes on. The results of this study can be used to establish a BIM activation strategy for each BIM acceptance stage and are expected to be applicable to establishing a BIM activation strategy for construction organizations or countries with similar BIM acceptance stage.

BUILDING INFORMATION MODELING AND OPERATING of RFID TECHNOLOGY TO IMPROVE OCCUPATIONAL SAFETY IN CONSTRUCTION INDUSTRY

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Agnes Kelm ◽  
Manfred Helmus ◽  
Anica Meins-Becker
Keyword(s):  
Life Cycle ◽  
Occupational Safety ◽  
Preventive Measures ◽  
Safety Information ◽  
Information Modeling ◽  
Actual Process ◽  
Construction Sites ◽  
Process Data ◽  
Safety And Health ◽  
Building Information

Despite a slight decrease of the number of accidents at work on German construction sites in recent years, prevention activities should be strengthened and started explicitly in addition. In particular, a large number of accidents on construction sites are carried out by the collision of different trades and the absence or not wearing appropriate PPE for workers of adjacent trades. An important potential is seen in the optimization of the safety and health by making available pre-defined information about safety and health throughout the life cycle of buildings. Using this information, preventive measures can be taken faster, more effective, safer and preventive. The method of Building Information Modelling (BIM) forms the basis for a comprehensive building information model or building data model. From the perspective of the applicant the method of BIM in conjunction with the Auto-ID-based tracking of actual process data, however, provides additional data to planning data among other OSH-related processes. This data can be used for the further phases of the life cycle of buildings, which are in the building phase, the use phase and rebuilding phase and the decommissioning phase considerable potential, especially for the optimization of occupational safety and health. The primary objective of this research project is to identify, define and standardize health and safety information and provide them for preventive measures with the BIM method.

scholarly journals Building Information Modeling-Based Building Energy Modeling: Investigation of Interoperability and Simulation Results

2020 ◽  
Vol 6 ◽  
Author(s):  
Mohamed H. Elnabawi
Keyword(s):  
Large Scale ◽  
Building Information Modeling ◽  
Data Transfer ◽  
Building Design ◽  
Building Energy ◽  
Energy Modeling ◽  
Low Energy ◽  
Information Modeling ◽  
Building Energy Modeling ◽  
Building Information

There is increasing need to apply building information modeling (BIM) to low energy buildings, this includes building energy modeling (BEM). If a building energy model can be flawlessly generated from a BIM model, the energy simulation process can be better integrated within the design, can be more competent, and timesaving. However, concerns about both the reliability and integrity of the data transfer process and the interoperability between the BIM and BEM prevent any implementation of BIM-based energy modeling on a large scale. This study addresses the accuracy and integrity of BIM-based energy modeling by investigating how well Autodesk's Revit (BIM), in conjunction with two of the most used energy modeling programs (BEM) known as DesignBuilder and Virtual Environment (IES-ve), were integrated in terms of interoperability, including location and weather files, geometry, construction and materials, thermal zones, occupancy operating schedules, and HVAC systems. All misrepresented data during the interoperability process were identified, followed by benchmarking between the BIM-based energy modeling simulation outcomes and the actual energy consumption of the case study, to assess the reliability of the process. The investigation has revealed a number of interoperability issues regarding the BIM data input and BEM data interpretation. Overall, BIM-based energy modeling proved to be a promising tool for sustainable and low energy building design, however, the BIM to BEM process is a non-standardized method of producing building energy models as it varies from one modeler to another, and the BIM to BEM process. All these might slow down any possible application for the process and might cause some uncertainties for the professionals in the field applying it.

scholarly journals HBIM for Conservation: A New Proposal for Information Modeling

2019 ◽  
Vol 11 (15) ◽  
pp. 1751 ◽  
Author(s):  
Nazarena Bruno ◽  
Riccardo Roncella
Keyword(s):  
Time Management ◽  
3D Model ◽  
Information Modeling ◽  
Web Interface ◽  
User Friendliness ◽  
Geometric Information ◽  
Historical Building ◽  
Semantic Data ◽  
Desktop Application ◽  
Building Information

Thanks to its capability of archiving and organizing all the information about a building, HBIM (Historical Building Information Modeling) is considered a promising resource for planned conservation of historical assets. However, its usage remains limited and scarcely adopted by the subjects in charge of conservation, mainly because of its rather complex 3D modeling requirements and a lack of shared regulatory references and guidelines as far as semantic data are concerned. In this study, we developed an HBIM methodology to support documentation, management, and planned conservation of historic buildings, with particular focus on non-geometric information: organized and coordinated storage and management of historical data, easy analysis and query, time management, flexibility, user-friendliness, and information sharing. The system is based on a standalone specific-designed database linked to the 3D model of the asset, built with BIM software, and it is highly adaptable to different assets. The database is accessible both with a developed desktop application, which acts as a plug-in for the BIM software, and through a web interface, implemented to ensure data sharing and easy usability by skilled and unskilled users. The paper describes in detail the implemented system, passing by semantic breaking down of the building, database design, as well as system architecture and capabilities. Two case studies, the Cathedral of Parma and Ducal Palace of Mantua (Italy), are then presented to show the results of the system’s application.

Automated framework for optimized path-planning for pile foundation drilling machines based on 4D BIM modelling

2021 ◽  
Author(s):  
Martina Mellenthin Filardo ◽  
Rohith Akula ◽  
Tino Walther ◽  
Hans-Joachim Bargstädt
Keyword(s):  
Pile Foundation ◽  
Data Transfer ◽  
Information Modeling ◽  
Accurate Information ◽  
Construction Process ◽  
Construction Company ◽  
Shortest Distance ◽  
Building Information ◽  
Travelling Salesperson Problem ◽  
Or Modelling

<p>While the Building Information Modeling (BIM) method allows accurate information modelling and thus more robust predictions, it often needs to be combined with tasks beyond the model or modelling phase, especially if the goal is a model-based construction phase. This study proposes an optimization workflow for the construction of pile foundations, since they are part of a varying range of building and infrastructure projects. Pile foundation drilling is an extensive construction process, which can be optimized significantly by reducing the execution length through an effective drilling path plan and automated data transfer. This was achieved through the combination of optimization algorithms, which were linked to the 3D BIM model and selected the shortest distance between piles using Ant Colony Optimization (ACO) algorithm, based on the Travelling Salesperson Problem (TSP). Subsequently the script created separate security distance-compliant tours for drilling machines, calculated construction times and converted the resulting paths into schedules, which in turn could be updated to the 3D BIM model to generate a 4D animation of the construction process. The developed optimization framework and script were tested with a construction company focused on special foundations based in Germany.</p>

Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities

2017 ◽  
Vol 15 (3) ◽  
pp. 187-202 ◽  
Author(s):  
Kereshmeh Afsari ◽  
Charles Eastman ◽  
Dennis Shelden
Keyword(s):  
Data Exchange ◽  
Building Information Modeling ◽  
Data Transfer ◽  
Information Modeling ◽  
Data Interoperability ◽  
Loosely Coupled ◽  
Building Information ◽  
Modeling Data ◽  
Collaboration Process ◽  
Cloud Interoperability

Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.

scholarly journals Smart Facility Management: Future Healthcare Organization through Indoor Positioning Systems in the Light of Enterprise BIM

Smart Cities ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 793-805
Author(s):  
Tor Åsmund Evjen ◽  
Seyed Reza Hosseini Raviz ◽  
Sobah Abbas Petersen ◽  
John Krogstie
Keyword(s):  
Data Collection ◽  
Indoor Positioning ◽  
Facility Management ◽  
Information Modeling ◽  
Holistic View ◽  
Positioning Systems ◽  
Building Information ◽  
The Status ◽  
Real Estate Management ◽  
Smart Mobile

Synthesizing the Internet of Things (IoT) with building information modeling (BIM) can improve the performance of the data collection. In this regard, BIM endeavors to enable real-time monitoring conditions of buildings. This paper is focused on the indoor positioning system (IPS) as a key enabling technology for IoT applications, which uses smart and non-smart mobile devices (object tags and beacons) with the aim of positioning and objects tracking that lead to a smart approach in the field of facility management (FM). Hence, we have surveyed the joint use of IPS and BIM in FM based on the concept of enterprise BIM (EBIM). EBIM forms the basis for the future strategic real estate management using virtual models and open standards. As a result, we gained the ability to collect positioning data continuously, save them in a BIM database, and present them on two-dimensional (2D) maps. This is a part of an ongoing study that aims to use data collection effectively for FM as an organizational function in large and complex buildings. Hence, for this purpose, we have considered St. Olavs Hospital, one of the biggest healthcare centers in Norway, as a case study. The effectiveness of data collection by IoT devices installed in buildings and how the combination of BIM and IoT technology can support a holistic view of the status of the buildings, which subsequently can enhance data usage efficiency and FM development, will be demonstrated.

scholarly journals Active BIM Approach to Optimize Work Facilities and Tower Crane Locations on Construction Sites with Repetitive Operations

Buildings ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 21 ◽  
Author(s):  
Borna Dasović ◽  
Mario Galić ◽  
Uroš Klanšek
Keyword(s):  
Search Algorithm ◽  
Total Duration ◽  
Optimal Solution ◽  
Information Modeling ◽  
Optimization Approach ◽  
Construction Sites ◽  
Tower Crane ◽  
Active Approach ◽  
Building Information ◽  
Feasible Solutions

This paper presents an active building information modeling (BIM) approach for work facilities and the optimal positioning of tower cranes on construction sites with repetitive operations. In this context, the metamorphosis of a passive BIM approach into an active approach is described. Here, the enhancement of the construction-ready BIM model starts with the export of the optimization input parameters, such as the 3D coordinates of the building, perimeter of the construction site, space for feasible solutions, relevant segment of the building with repetitive works, etc. Depending on the complexity of the problem, the user selects a suitable optimization approach and formulates the tower crane positioning optimization problem with the objective of minimizing the total duration of the operation’s cycle. Similarly, according to the model formulation, the user also chooses the optimization tool, including the search algorithm. The final step involves the post-optimal analysis and importing of the optimal solution into the BIM. An application example is demonstrated at the end of the paper to show the advantages of the proposed approach in which the optimization model has significantly improved the initial solution of the crane and depot positions.

scholarly journals Bibliometric Survey for Adoption of Building Information Modeling (BIM) in Construction Industry– A Safety Perspective

2021 ◽  
Author(s):  
Shalaka Hire ◽  
Sayali Sandbhor ◽  
Kirti Ruikar
Keyword(s):  
Construction Industry ◽  
Bibliometric Analysis ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Construction Sites ◽  
Construction Operations ◽  
Workforce Management ◽  
Building Information ◽  
Global Construction ◽  
Two Phases

AbstractThe construction industry is multidisciplinary in nature and various operations are executed at the same time. One of the major resources for executing construction operations is the human workforce. Management of this workforce with effective safety provisions is a prime factor for reducing accidents on construction sites. Nowadays, technologies such as Building Information Modeling (BIM) offer the potential to manage safety on-site with their automatic safety checking capability. BIM is a model-based smart nD platform that offers tools for architecture, engineering, and construction proficients to plan, design, and manage construction activities more efficiently. Despite its growing use globally, BIM has not been adopted sufficiently in the Indian construction industry. This paper presents a bibliometric analysis of the adoption of BIM in the global construction and the Indian construction industry. It also reviews the adoption of BIM for safety in the global and Indian construction industry. The bibliometric analysis is carried out in two phases, at first it reviews the adoption of BIM globally, and limits the findings to cover BIM adoption in the Indian construction industry. Secondly, it reviews the adoption of BIM for safety in global construction and limits the findings to cover BIM adoption for safety in India. Various complementary tools such as VOSviewer, iMapbuilder have been used for data analysis. The research highlights the need for BIM in India particularly for safety on construction sites.

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