
Advances in Automation, Mechanical and Design Engineering
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This book presents the proceedings of the 2022 3rd International Symposium on Automation, Mechanical and Design Engineering (SAMDE), held in Beijing, China, on December 16-18, 2022, and organized by the Hong Kong Society of Robotics and Automation (HKSRA). It gathers contributions by researchers from several countries on the following topics: digitalized development and use of sustainable products and manufacturing systems, artificial intelligence, automated reasoning, human-robot collaborative interaction, sensors and autonomous sensor systems, cyber-physical control systems, generative design including topology optimization, advanced simulation and modelling, intelligent automation, smart materials, materials processing and factories, and circular economy, etc. The book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments.
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Content
- Intro
- Organization
- Preface
- Contents
- Part I Advanced Materials and Structures
- 1 Study on the Application of Inorganic Curing Expansion Filling Roof Jointing Material in the Rapid Confinement of Large Mining Height Coal Seam Roadway
- 1.1 Introduction
- 1.2 Related Works
- 1.3 Methods
- 1.4 Experimental Analysis
- 1.5 Conclusion
- References
- 2 Different Structural Parameters Impacted on the Rough Surfaces Contact Force and Area Between the Base and the Magnetic Film Cantilever
- 2.1 Introduction
- 2.2 The Magnetostrictive is Equivalent to Thermal Expansion Analysis
- 2.3 Modelling
- 2.3.1 Bending Displacement Model
- 2.3.2 Material Parameters and Structural Model
- 2.3.3 Boundary Conditions
- 2.4 Results and Discussions
- 2.5 Conclusions
- References
- 3 Study on the Longitudinal Distribution of the Relative Slip of Steel Bars in the Steel Grouting Sleeve
- 3.1 Introduction
- 3.2 Establishment of 3D Steel Grouting Sleeve Model
- 3.2.1 Geometric Model
- 3.2.2 Material Parameters
- 3.2.3 Boundary Conditions
- 3.3 Results and Analysis
- 3.3.1 Model Validation
- 3.3.2 dn Along the Longitudinal Distribution of Steel
- 3.3.3 dn Along the Longitudinal Distribution of Steel in the Sleeve
- 3.3.4 dn Along the Longitudinal Distribution of Steel Outside the Sleeve
- 3.4 Conclusion
- References
- 4 Experimental Study on Temperature Variation Performance of Steel-UHPC Composite Bridge Deck Pavement
- 4.1 Introduction
- 4.2 Project Profile
- 4.2.1 Bridge Profile
- 4.2.2 UHPC Bridge Deck Pavement
- 4.3 Performance Test of UHPC Bridge Deck Pavement
- 4.3.1 Monitoring Parameters
- 4.3.2 Sensor Arrangement
- 4.3.3 Selection of Sensors and Data Collectors
- 4.3.4 Data Acquisition and Processing
- 4.4 Experimental Results on Temperature Variation Performance of the UHPC Bridge Deck Pavement
- 4.4.1 Data of Temperature Variation
- 4.4.2 Strain in the Height Direction of the UHPC Layer
- 4.4.3 Cohesiveness Between UHPC and Steel Bridge Deck
- 4.4.4 The Influence of Temperature
- 4.5 Conclusion
- References
- 5 A 3D Point Cloud Model-Based Inspection Method for the Dimension of Prefabricated Steel Members
- 5.1 Introduction
- 5.2 3D Laser Scanning-Based Error Inspection Process for Steel Fabrication
- 5.3 Acquisition and Processing of Point Cloud Data
- 5.3.1 Point Cloud Data Acquisition
- 5.3.2 Point Cloud Registration
- 5.3.3 Point Cloud Simplification
- 5.3.4 Point Cloud Denoising
- 5.4 Geometric Modeling and Optimization of Members
- 5.5 Member Error Inspection and Key Parameter Extraction
- 5.5.1 Processing Quality Inspection of Members
- 5.5.2 Key Parameter Extraction
- 5.6 Conclusion
- References
- 6 Micron/Nano Imprinter Process to Fabricate Large-Area Micro Riblets Surface with Drag Reduction Performance
- 6.1 Introduction
- 6.2 Experimental
- 6.2.1 Materials and Method
- 6.2.2 Drag Reduction
- 6.2.3 Mechanism
- 6.3 Conclusion
- References
- 7 Research on Compressive Properties of PVA Hybrid Fiber Concrete After High Temperature
- 7.1 Introduction
- 7.2 Experimental Work
- 7.2.1 Test Materials
- 7.2.2 Test Setup and Procedure
- 7.2.3 High Temperature Test Process
- 7.3 Test Results and Discussion
- 7.3.1 Failure Mode
- 7.3.2 Compression Strength of Hybrid Fiber Concrete After High Temperature
- 7.4 Conclusion
- References
- 8 Flow Field Simulation Analysis and Test on the Separation Device of Waste Mulching Films and Straws in the Cotton Field
- 8.1 Introduction
- 8.2 Composition Measurement of Film-Impurity Mixture
- 8.3 Measurement of Suspension Speed of the Film-Impurity Mixture
- 8.4 Simulation Analysis on the Internal Flow Field of the Film-Impurity Separation Device
- 8.4.1 Determination of the Structure and Dimensions of the Device
- 8.4.2 Design of Spiral Blades
- 8.4.3 Model Establishment
- 8.4.4 Simulation Analysis on the Flow Field at Different Wind Speeds
- 8.4.5 Simulation Analysis on the Flow Field at Different Air Inlet Angles
- 8.5 Validation Test
- 8.6 Conclusions and Discussion
- 8.6.1 Conclusions
- 8.6.2 Discussion
- References
- 9 An Improved Three-Dimensional Cellular Automata Model for Simulating the Multi-orient Dendrites of Binary Alloy
- 9.1 Introduction
- 9.2 Improved 3D CA Model
- 9.3 Results and Discussion
- 9.4 Conclusions
- References
- Part II Intelligent Systems and Machine Learning
- 10 Application Study of Slope Intelligent Monitoring Based on IOT and UAV
- 10.1 Introduction
- 10.2 Present Situation and Method of Slope Monitoring
- 10.2.1 Statistics of Landslide Hazards
- 10.2.2 Development History of Slope Monitoring Technology
- 10.2.3 Standardization of Slope Deformation Monitoring
- 10.2.4 Slope Monitoring Technology and Development Trend
- 10.3 Application of IOT Technology in Slope Intelligent Detection
- 10.3.1 IOT Platform Architecture
- 10.3.2 Data Acquisition and Transmission Mechanism
- 10.4 Application of UAV in Slope Disease Identification
- 10.4.1 Design of UAV Flight Route
- 10.4.2 UAV Image Processing
- 10.5 Intelligent Operation and Maintenance of Slope Health
- 10.6 Summary and Prospect
- References
- 11 UWB Localization Based on Improved SO-Robust KF Fusion Algorithm
- 11.1 Introduction
- 11.2 System Architecture
- 11.2.1 UWB Ranging Model
- 11.2.2 SO Algorithm
- 11.3 Optimization Algorithm
- 11.3.1 Improved Adaptive Weighting Factor
- 11.3.2 Improved Fitness Function
- 11.3.3 Robust Kalman Filter
- 11.4 Simulation Results
- 11.4.1 Static Experiments
- 11.4.2 Dynamic Experiments
- 11.5 Conclusion
- References
- 12 Class-Imbalanced and Fine-Grained Object Detection in Video Surveillance for Production Safety
- 12.1 Introduction
- 12.2 Related Work
- 12.2.1 Object Detection
- 12.2.2 Attention Mechanism
- 12.2.3 Class-Imbalanced Image Recognition
- 12.2.4 Fine-Grained Image Recognition
- 12.3 Methodology
- 12.3.1 Attention Enhancement
- 12.3.2 Improved Loss Function
- 12.4 Experiments
- 12.4.1 Dataset
- 12.4.2 Implementation Details
- 12.4.3 Ablation Studies
- 12.5 Conclusion
- References
- 13 NLFA: A Non Local Fusion Alignment Module for Multi-Scale Feature in Object Detection
- 13.1 Introduction
- 13.2 Related Work
- 13.2.1 Deformable Convolution and Feature Alignment
- 13.2.2 Non Local Algorithm and Feature Alignment
- 13.3 Methods
- 13.3.1 Non Local Align Module
- 13.3.2 Channel Fusion Augmentation Module
- 13.4 Experiments
- 13.4.1 Evaluation Metrics
- 13.4.2 Implementation Details
- 13.4.3 Comparison Methods
- 13.4.4 Comparison with Baseline
- 13.4.5 Ablation Study
- 13.5 Conclusions
- References
- 14 Image Reconstruction for Rain Removal in Both Wavelet and Spatial Frequency Sub-bands Using W-CycleGANs
- 14.1 Introduction
- 14.2 Background and Related Work
- 14.3 Wavelet Transform for Processing Rain Images in the Frequency Domain
- 14.4 Network Architecture of W-CycleGANs
- 14.5 Network Training and Testing
- 14.6 Gamma Correction
- 14.7 Comparison Results Between the W-CycleGANs and the CycleGAN
- 14.8 Conclusions
- References
- 15 Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT
- 15.1 Introduction
- 15.2 Related Work
- 15.3 Model Framework
- 15.3.1 ResNeXt
- 15.3.2 NAM
- 15.4 Results and Discussion
- 15.4.1 Datasets
- 15.4.2 Evaluation Indicators
- 15.4.3 Experimental Environment and Parameter Settings
- 15.5 Conclusion
- References
- 16 Recognition of Leftover Food Based on Deep Learning
- 16.1 Introduction
- 16.2 Related Work
- 16.3 System Overview
- 16.4 Methodology
- 16.4.1 Data Augmentation
- 16.4.2 Model Training
- 16.4.3 Model Structure
- 16.5 Experiments
- 16.5.1 Experiments Setup
- 16.5.2 Experiments Result: Data Augmentation and Training
- 16.5.3 Experiments Result: Classification
- 16.6 Conclusion
- References
- Part III Optimization and Modeling Techniques
- 17 Task Offloading for UAV-Assisted of Collaborative Mobile Edge Computing Network Based on Deep Reinforcement Learning
- 17.1 Introduction
- 17.1.1 Related Work
- 17.1.2 Contribution and Organization
- 17.2 System Model
- 17.2.1 Collaborative Offloading Model
- 17.2.2 Communication Model
- 17.2.3 Computing Model
- 17.2.4 Problem Formulation
- 17.3 The Proposed Algorithm
- 17.4 Simulation Results
- 17.5 Conclusion
- References
- 18 Multi-scale Rain Removal Across Multiple Frequencies Sub-bands Using MS-CycleGANs
- 18.1 Introduction
- 18.2 Background and Related Work
- 18.3 NIQE Rain Distortion Metric
- 18.4 Network, Training and Testing
- 18.4.1 Network Parameter and Training Data Set
- 18.5 Testing and Evaluation
- 18.6 Experimental Results
- 18.6.1 Qualitative Comparison
- 18.7 Quantitative Comparison
- 18.8 Conclusion
- References
- 19 Research on the Optimization of the Assembly Sequence of Continuous Steel Arch Bridges with Multi-span Deck
- 19.1 Introduction
- 19.2 Optimization of the Sequence of Multi Arch Assembly Based on Stress Displacement Weight
- 19.3 Project of Continuous Steel Arch Bridge with Multi-span Deck
- 19.4 Determination of the Optimized Assembly Sequence
- 19.4.1 Analysis on the Stresses During Assembly
- 19.4.2 Analysis on the Displacements During Assembly
- 19.4.3 Optimization Results
- 19.4.4 Installation Performance
- 19.5 Conclusion
- References
- 20 Performance Prediction Method of Laser Device Energy Component Based on Neural Network
- 20.1 Introduction
- 20.2 Working Mechanism of Energy Assembly
- 20.3 BP Model Construction
- 20.4 Data Sample Construction
- 20.4.1 Simulation Model Construction
- 20.4.2 Data Sample Construction
- 20.5 Model Training and Testing
- 20.6 Conclusion
- References
- 21 Preliminary Design of 2D Ultrasonic Vibration Assisted Micro-milling (UVAMM) Using Piezoelectric Stack Actuator
- 21.1 Introduction
- 21.2 Design Limitation
- 21.3 Design of 2D UVAMM System
- 21.4 Simulations and Results
- 21.4.1 Modal Results
- 21.4.2 Harmonic Response Results
- 21.5 Conclusion
- References
- 22 Self-Fitting Hearing Aid Algorithm Based on Improved Interactive Genetic Algorithm
- 22.1 Introduction
- 22.2 Hearing Aid Self-Fitting Based on SVM-IGA
- 22.2.1 Multi-channel Loudness Compensation Principle
- 22.2.2 SVM-IGA Algorithm Construction
- 22.2.3 Hearing Aid Fitting Algorithm Flow Based on SVM-IGA
- 22.3 Experiment and Discussion
- 22.3.1 Setup of the Experiment
- 22.3.2 Experimental Procedure
- 22.3.3 Comparison of Algorithm Performance
- 22.3.4 Voice Waveform Comparison
- 22.3.5 Comparison of Speech Intelligibility and Quality
- 22.4 Conclusion
- References
- 23 Bending Process Parameters Optimization of the 316L Tube with Small R/D Ratio: A Physical Prior Knowledge Based Bayesian Optimization Approach
- 23.1 Introduction
- 23.2 Literature Review
- 23.3 Methodology
- 23.3.1 RDB Finite Element Environment for Optimization
- 23.3.2 Forming Defect Indicators
- 23.3.3 Prior Knowledge Using to Guide Bayesian Optimization
- 23.3.4 Improved Bayesian Optimization Methods
- 23.4 Experimental Results and Discussion
- 23.4.1 Experiment Design
- 23.4.2 Experiment Between the Improved Algorithm and the Original Algorithm
- 23.4.3 Experiments Among Acquisition Functions
- 23.5 Conclusion
- References
- 24 Modified Johnson-Cook Model of AA5005 Alloy for Thermal Tensile Tests
- 24.1 Introduction
- 24.2 Experimental Procedures
- 24.3 Original Johnson-Cook (JC) Model
- 24.4 Modified Johnson-Cook (MJC) Model
- 24.4.1 Determination of Material Constants A, B1 and B2
- 24.4.2 Determination of Material Constants C
- 24.4.3 Determination of the Material Constant, ?
- 24.5 Discussion
- 24.6 Conclusions
- References
- 25 Vibration Prediction Method for New Buildings in Existing Metro Operation Area with Soft Soil
- 25.1 Introduction
- 25.2 Preliminary Prediction Method for Vibration of New Buildings in Existing Metro Operation Area with Soft Soil
- 25.2.1 The Necessity of Establishing Preliminary Prediction of Building Vibration in Soft Soil Areas
- 25.2.2 Analysis of the Correction Terms in the Preliminary Prediction Formula for Subway Vibration in Shanghai
- 25.2.3 Preliminary Prediction Method and Simplified Prediction Formula of Building Vibration
- 25.3 Fine Vibration Prediction Method for New Buildings in Existing Metro Operation Areas
- 25.3.1 Fine Prediction Method for Local Vibration of Buildings
- 25.3.2 Fine Prediction Method for Overall Vibration of Buildings
- 25.4 Conclusion
- References
- 26 Mechanical Structural Improvement Design and Vibration Test of Coupling Guard for Pump System
- 26.1 Introduction
- 26.2 Strength Analysis and Simulation
- 26.3 Vibration Tests
- 26.4 Conclusion
- References
- Part IV Industrial Engineering and Applications
- 27 Sealing Structure Design of High Pressure Air Joint with Low Tightening Torque
- 27.1 Foreword
- 27.2 CB316 Standard High Pressure Air Connector
- 27.2.1 Structure
- 27.2.2 Analysis of Joint Tightening Torque Composition
- 27.3 Joint Structure Optimization Design
- 27.4 Finite Element Simulation and Analysis
- 27.4.1 Finite Element Simulation and Modeling
- 27.4.2 Boundary Condition Setting
- 27.4.3 Simulation Results
- 27.5 Joint Processing and Test Verification
- 27.6 Conclusion
- References
- 28 Effect of Horizontal Plates on the Sliding of Breakwater Caissons
- 28.1 Introduction
- 28.2 Methodology
- 28.2.1 Governing Equations and Boundary Conditions. Velocity Potentials
- 28.2.2 Boundary Point Selection (BPS) Method
- 28.2.3 Hydrodynamic Parameters
- 28.2.4 Sliding
- 28.3 Results and Discussion
- 28.3.1 Effect of the Plate Length
- 28.4 Conclusions
- References
- 29 The Design and Application of Financial System in University Based on Blockchain Technology
- 29.1 Introduction
- 29.2 Problems in Financial Informatization
- 29.2.1 The Problem of Departmental Information Islands
- 29.2.2 The Problem of Financial Department Process
- 29.3 Framework Application of Blockchain Technology
- 29.3.1 Transmission Mode Under Blockchain
- 29.3.2 Financial Processes and Module Under Blockchain
- 29.4 Results and Analysis
- 29.5 Conclusions
- References
- 30 Research on Reinforcement Method and Structural Integrity Assessment of Welded Joints with Defects in Atmospheric Pressure Vessels
- 30.1 Introduction
- 30.2 Research Content
- 30.2.1 Research Object
- 30.2.2 Research Purpose
- 30.3 Research Methods
- 30.3.1 Safety Assessment at Static StrengthIn
- 30.3.2 Reinforcement Design
- 30.4 Safety Assessment
- 30.5 Summary
- References
- Part V Sensors and Measurement Techniques
- 31 Research on Sensorless Control System of IPMSM Based on Smith-FCMAC-PID
- 31.1 Introduction
- 31.2 Mathematical Model of IPMSM
- 31.3 Smith-FCMAC-PID Control System
- 31.3.1 FCMAC Algorithm
- 31.3.2 Smith Prediction Compensator
- 31.3.3 Smith-FCMAC-PID Control Structure
- 31.4 Simulation Results and Analysis
- 31.5 Conclusion
- References
- 32 Nonlinear Modeling Method Research for Synchronous Reluctance Motor
- 32.1 Introduction
- 32.2 Measurement of Characteristic Parameters of Synchronous Reluctance Motor
- 32.3 SynRM Measurement of Electromagnetic Parameters
- 32.3.1 SynRM Electromagnetic Characteristics Measurement Method
- 32.3.2 Measurement of Cross-Coupling Characteristics
- 32.4 Modeling of Synchronous Reluctance Motor
- 32.5 Conclusion
- References
- 33 A Length Measurement Method for Reeling Cable Based on Standing Wave Reflectometry
- 33.1 Introduction
- 33.2 Basic Theories of Standing Wave Reflectometry
- 33.2.1 Cable Model Based on Transmission Line Theory
- 33.2.2 Theory of SWR
- 33.3 Theories of the New Method
- 33.3.1 Amplitude Variation Curve Prediction
- 33.3.2 Length Calculation Method
- 33.4 Sweep Frequency Selecting Method
- 33.5 Simulation
- 33.6 Conclusion
- References
- 34 The Bayesian Confidence Intervals for the Coefficient of Variation of a Weibull Distribution
- 34.1 Introduction
- 34.2 Methods
- 34.2.1 The Bayesian Confidence Intervals
- 34.2.2 GCI
- 34.3 Simulation Studies
- 34.4 Application
- 34.5 Discussion and Conclusions
- References
- Part VI Sustainability and Emerging Technologies
- 35 Performance of High Viscosity and Elasticity Asphalt with Snow-Melting Function
- 35.1 Introduction
- 35.2 Raw Materials and Test Methods
- 35.2.1 Raw Materials
- 35.2.2 Test Method
- 35.3 Results and Discussion
- 35.3.1 Effect of Modified Components on the Performance of Asphalt
- 35.3.2 Performance of Modified Asphalt with Snow-Melting Function
- 35.4 Conclusions
- References
- 36 Design and Implementation of Urban Railway Collision Avoidance System Based on Positioning and Tracking Under Signal Failing
- 36.1 Introduction
- 36.2 Train Collision Avoidance System
- 36.3 Technologies of Train Collision Avoidance System
- 36.3.1 Train Location Algorithm
- 36.3.2 Train Positioning Correction to Eliminate Accumulated Errors
- 36.3.3 Ring the Network
- 36.3.4 Research and Development of Voltage Conversion Module
- 36.4 Operation Results
- 36.5 Conclusion
- References
- 37 Research and Development of the Green Ultra-high Performance Concrete Based on the Slag Composite Cementitious System
- 37.1 Introduction
- 37.2 Raw Materials for the Experiment
- 37.3 Experiment Content
- 37.3.1 Mix Proportions in the Experiment
- 37.3.2 Preparation of UHPC
- 37.3.3 Testing Method for UHPC
- 37.4 Mechanical Properties of Nano Cerium Oxide (CeO2)-Modified UHPC
- 37.4.1 Influence of Nano Cerium Oxide (CeO2) on the Mechanical Properties of Concrete at Different Ages
- 37.4.2 Influence of Slag Powder Addition on the Mechanical Properties of Concrete
- 37.5 Structural Analysis of Nano Cerium Oxide (CeO2)-Modified UHPC
- 37.6 Compactness of Nano Cerium Oxide (CeO2) Modified Slag Composite Cementitious System
- 37.7 Mechanical Properties of the UHPC with Desalinated Sea Sand
- 37.8 Conclusion
- References
- 38 Chlorophyll Inversion Using Landsat-8 Remote Sensing Imagery and 1D Convolution: A Case Study of Poyang Lake
- 38.1 Introduction
- 38.2 Methods
- 38.2.1 Overview of the Study Area and Data Sources
- 38.2.2 Establishment of the Inversion Model
- 38.3 Experiments and Results
- 38.4 Conclusion
- References
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