Mobile and Pervasive Computing in Construction

Chimay J. Anumba is Professor of Architectural Engineering and Head of the Department of Architectural Engineering at The Pennsylvania State University, USA. Xiangyu Wang is Professor of the Built Environment in the School of the Built Environment, Curtin University, Australia.

Contributors ix Preface xiii Acknowledgments xvii 1 Mobile and Pervasive Computing in Construction: an Introduction 1 Chimay J. Anumba and Xiangyu Wang 1.1 Background 1 1.2 Fundamental Characteristics of Mobile Computing 2 1.3 Pervasive Computing 7 1.4 Summary 9 References 9 2 Mobile and Semantic Web-Based Delivery of Context-Aware Information and Services in Construction 11 Chimay J. Anumba, Zeeshan Aziz and Darshan Ruikar 2.1 Introduction 11 2.2 Limitations of Current Processes and Technologies 12 2.3 Integrated Service Delivery Architecture 15 2.4 Prototype System Implementation 17 2.5 Development of the Project Repository 18 2.6 OntoWise 19 2.7 Deployment Case Studies 21 2.8 Summary and Conclusions 24 References 25 3 Communication Technology in Mobile and Pervasive Computing 26 Jerker Delsing 3.1 Introduction 26 3.2 Mobile and Pervasive Devices 26 3.3 Communication Basics 27 3.4 Communication Protocols 31 3.5 Service Protocols 33 3.6 Proprietary Buses and Protocols 34 3.7 Summary 35 References 35 4 A Framework for Designing Mobile Virtual Training Systems through Virtual Modeling Technology 37 Xiangyu Wang and Phillip S. Dunston 4.1 Introduction 37 4.2 Taxonomy for Defining Virtual Training Systems 39 4.3 Relating Virtual Technologies to Training Skills 47 4.4 Conclusions and Future Work 51 References 52 5 Mobile and Pervasive Construction Visualization Using Outdoor Augmented Reality 54 Amir H. Behzadan, Suyang Dong and Vineet R. Kamat 5.1 Introduction 54 5.2 Prior Related Work in Construction Visualization 56 5.3 Main Contributions 57 5.4 Technical Approach to Create AR Animations 58 5.5 ARVISCOPE Animation Authoring Language 60 5.6 Creating an AR Animation Trace File from a DES Model 63 5.7 ARVISCOPE Language Design Issues 66 5.8 Examples of Pervasive Outdoor AR Visualization 76 5.9 Summary and Conclusions 82 Acknowledgments 83 References 83 6 Ubiquitous User Localization for Pervasive Context-Aware Construction Applications 86 Hiam M. Khoury, Manu Akula and Vineet R. Kamat 6.1 Introduction 86 6.2 Current State of Knowledge 88 6.3 User Tracking in Construction Environments 92 6.4 Validation of Accuracy in 3D Spatial User Tracking 106 6.5 Integration of GPS and Inertial Navigation 116 6.6 Summary and Conclusions 124 Acknowledgments 124 References 125 7 Person-oriented Mobile Information System Enhancing Engineering Communication in Construction Processes 128 Danijel Rebolj and Ales Magdic 7.1 Introduction 128 7.2 Considering People in Processes 131 7.3 Dynamic Communication Environment (DyCE) 134 7.4 On-site Evaluation 139 7.5 Conclusions 144 7.6 Future Work 144 References 146 8 The iHelmet: An AR-enhanced Wearable Display for BIM Information 149 Kai-Chen Yeh, Meng-Han Tsai and Shih-Chung Kang 8.1 Introduction 149 8.2 Design and Implementation of the iHelmet 153 8.3 Module Implementations 157 8.4 Discussion 163 8.5 Summary 164 References 165 9 Mobile and Pervasive Computing: The Future for Design Collaboration 169 Mi Jeong Kim, Mary Lou Maher and Ning Gu 9.1 Introduction 169 9.2 Analytical Frameworks for Understanding Collaborative Technologies in Design 170 9.3 Characterizing Early Collaborative Design Technologies 172 9.4 Understanding Mobile and Pervasive Computing in Design Collaboration 177 9.5 Towards the Future 182 9.6 Conclusion 184 References 185 10 Computer Vision and Pattern Recognition Technologies for Construction 189 Ioannis Brilakis 10.1 Structural Element Recognition 189 10.2 Construction Equipment and Personnel Recognition 193 10.3 Damage and Defects Recognition 196 10.4 Videogrammetric Surveying 199 10.5 Summary 203 References 204 11 Structural Health Monitoring using Wireless Sensor Networks 210 Jiannong Cao and Xuefeng Liu 11.1 Introduction 210 11.2 How to Realize Long-Term Monitoring with WSNs using Battery-Powered Wireless Sensor Nodes 219 11.3 How to Implement Simple and Effective SHM Algorithms 224 11.4 How to Realize Fast and Reliable Delivery of a Large Amount of Data 228 11.5 How to Deploy Sensor Nodes in WSN-based SHM System 229 11.6 How to Develop Middleware Framework for WSN-based SHM 230 11.7 Conclusion 233 Acknowledgments 233 References 233 12 Cloud Computing Support for Construction Collaboration 237 Jack C.P. Cheng and Bimal Kumar 12.1 Introduction 237 12.2 What is Cloud Computing? 239 12.3 Cloud Computing as a Construction Collaboration Enabling Technology 243 12.4 Potential Benefits of Cloud Computing in the Construction Industry 244 12.5 Challenges of Cloud Computing Adoption in the Construction Industry 247 12.6 Proposed Collaboration Framework 250 12.7 Summary 252 References 252 13 Concluding Notes 255 Chimay J. Anumba and Xiangyu Wang 13.1 Introduction 255 13.2 Summary 255 13.3 Benefits of Mobile and Pervasive Computing to Construction Sector Organizations 256 13.4 Considerations in the Effective Deployment of Mobile and Pervasive Computing in Construction 257 13.5 Future Directions 257 References 259 Index 261