Offshore Floating Systems
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1 GCRC-SOP 4th Year International Workshop Project: Core Components and Materials Technology A New Approach to Asset Management for Offshore Floating Systems
2 Ø Structural integrity and condition assessment for Inspection, Maintenance and Repair (IMR) ü Reduce the asset management costs ü Minimize safety and environment risks 1
3 Ø 4 th year (2014) ü Develop RFID localization and tracking system for offshore asset management ü Develop automatic progress report system for offshore construction progress report 2
4 Ø RFID localization and Tracking ü RFID Network Planning for Localization and Tracking Number of RFID readers to be deployed Locations of RFID readers ü Differential Received Signal Strength (RSS) for RFID Localization Differential RSS robust to heterogeneity of RFID tags Optimization modeling ü Localization and Tracking through RFID Support Vector Regression (SVR) for RFID localization Combining SVR and Kalman Filter for RFID Tracking Ø Automatic Progress Report ü Point cloud data collection ü As-built modelling from point cloud data 3
5 Results of Topic 1 4
6 Ø RFID Network Planning ü Determining the number of RFID readers ü Placing the RFID readers Ø Differential Received Signal Strength (RSS) for RFID Localization ü Motivation using Differential RSS for RFID Localization ü Differential RSS Modelling ü RFID Localization Using Differential RSS Ø Dynamic RFID Tracking ü Preprocessing RSS ü Support Vector Regression (SVR) for RFID Localization ü Combing SVR and Kalman Filter for RFID Tracking 5
7 Ø Mathematical Modeling of RFID Network Planning ü Tag coverage ü Deployment cost: the objective of the deployment is defined as the total number of deployed readers ü Interference modelling ü RFID Network Planning: Maximize {tag coverage} & minimize {deployment cost and interference} 6
8 Ø Decomposition based Firefly Algorithm ü Definition of individual firefly (each firefly stands for a solution) ü Initialization of individual firefly ü Updating the status of individual fire fly Updating binary variable (the number of readers) Updating the locations of the readers ü Enhancement of the reader locations through the virtual force algorithm 7
9 Ø Experimental results 8
10 Ø Differential RSS Positioning Algorithm ü RSS filtering ü RFID signal propagation model ü Differential RSS collected at RFID readers 9
11 Ø Differential RSS Positioning 10
12 Ø Experimental results 11
13 Ø Preprocessing Received Signal Strength (RSS) Measurements: Anomaly Detection ü Estimating theoretical RSS measurements by weighting neighbouring tags ü Correcting measurements deviated much from theoretical measurements 12
14 Ø Support Vector Regression for RFID Localization ü Regressing a function mapping a tag RSS measurements to its location ü Estimating the function by solving the following optimization problem with robust SVR ü Localization of a RFID tag through regressed function 13
15 Ø Combining SVR and Kalman Filter for RFID Tracking ü Motion Model second order kinematics model ü Measurement Model position estimated by SVR as a synthetic measurement 14
16 RFID Tracking Experiment Results
17 RFID Tracking Error Analysis
18 Results of Topic 2 Automatic Progress Report for Offshore Construction Progress Report 17
19 Ø Motivation ü Progress tracking is to realization of current construction status and reflect s differences with schedule. ü Progress is important feedback information to construction management 18
20 Ø Successful recognition of point cloud objects Ø As-built modelling with semantic information Ø Feasibility and effectiveness of proposed progress tracking process 19
21 Ø Process of as-built tracking using point cloud data ü Fast site data collection with laser scanning ü Automated as-built modelling from point cloud ü Progress tracking by comparing with 4D planned model 20
22 Ø Point cloud data collection 21
23 Ø Geometry modelling of point cloud components ü Most components in an industrial plant are man-made objects and can b e represented by combinations of geometric primitives, such as cylinder, sphere, box etc. (Rabbani,2006) ü Efficient RANSAC approach to fit geometric primitives 22
24 Ø Process of point cloud component recognition ü Recognizing types of point cloud components by local 3D feature Point correspondence matching using 3D SIFT Hypothesis generating and test using Hough voting and iterative closest point (IPC) ü Identifying IDs of point cloud components Creating graphs of point cloud components and piping and instrumentation drawing (P&ID) respectively Matching between two graphs and assigning corresponding ID to point cloud 23
25 Ø Process of point cloud component recognition 24
26 Ø Experiments library based recognition 25
27 Ø Experiments identification by graph matching Matching 26
28 Ø Publications ü International Journal (SCI) C. Wu, X. Wang, M. Truijens, C. Zhao, M. Kim, J. Lee and K. Jung, Robust RFID Positioning Using Differential Received Signal Strength, Automation in Construction, in press. (IF: 1.812) J. Li, C. Wu, Z. Wu, Q. Long, X. Wang, J. Lee and K. Jung, A fast dual gradient method for separable convex optimization via smoothing, Pacific Journal of Optimization, in press (IF: 1.079). X. Zhang, C. Wu, J. Li, X. Wang, Z. Yang, J. Lee and K. Jung, Binary artificial algae algorithm for multidimensional knapsack problems, Applied Soft Computing, in press (IF: 2.81). C. Zhao, X. Wang, X, Yang, B. Ling, J. Chai, C. Wu and J. Lee, Decompositionbased multi-objective firefly algorithm for RFID network planning with uncertainty, Journal of Network and Computer Applications, in press (IF: 2.229) C. Zhao, C. Wu, X. Wang, K. Teo, B. Ling, J. Lee and K. Jung, Wireless sensor network with maximum life time via optimal joint sink deployment and sensor-tosink routing, Applied Mathematical Modelling, in press (IF: 2.251) J. Chai, H. Chi, X. Wang, C. Wu, J. Lee and K. Jung, Automatic as-built modelling for concurrent construction progress tracking based on laser scanning, Concurrent Engineering: Research and Applications, in press (IF: 0.851) 27
29 28
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