Smart Buildings Digitalization, Two Volume Set
- Length: 688 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2022-02-23
- ISBN-10: 1032146516
- ISBN-13: 9781032146515
- Sales Rank: #0 (See Top 100 Books)
A smart building is the state-of-art in building with features that facilitates informed decision making based on the available data through smart metering and IoT sensors. This set provides useful information for developing smart buildings including significant improvement of energy efficiency, implementation of operational improvements and targeting sustainable environment to create an effective customer experience. It includes case studies from industrial results which provide cost effective solutions and integrates the digital SCADE solution.
- Describes complete implication of smart buildings via industrial, commercial and community platforms
- Systematically defines energy-efficient buildings, employing power consumption optimization techniques with inclusion of renewable energy sources
- Covers data centre and cyber security with excellent data storage features for smart buildings
- Includes systematic and detailed strategies for building air conditioning and lighting
- Details smart building security propulsion.
This set is aimed at graduate students, researchers and professionals in building systems, architectural, and electrical engineering.
Volumes Cover Vol I Cover Half Title Title Copyright Table of Contents Preface Editors Contributors Chapter 1 Nonlinear Controller for Electric Vehicles in Smart Buildings 1.1 Introduction 1.2 Converter Analysis and Dynamic Modeling 1.3 PFC Based on Conventional ACM Control 1.4 Differential Flatness-Based Controller for AC/DC Converter 1.5 Design Considerations 1.6 Controller Realization through Simulation 1.7 Conclusion References Chapter 2 Guidance System for Smart Building Using Li-Fi 2.1 Introduction 2.2 Literature Review 2.2.1 Transferring Data Using Li-Fi Technology 2.2.2 Constrained and Quantized Graph Algorithm to Find the Shortest Path 2.2.3 Bluetooth Technology for Communication 2.3 Existing System 2.4 Proposed System 2.5 Architecture of the System 2.6 Workflow 2.7 Modules 2.7.1 Module 1 2.7.2 Module 2 2.7.3 Module 3 2.7.4 Module 4 2.7.5 Algorithm 2.8 Constraints 2.9 Conclusion 2.10 Future Work References Chapter 3 Smart Building Automation System 3.1 Introduction 3.2 Smart Building Architecture 3.3 Technologies Required to Build Smart Buildings 3.4 Building Automation System (BAS) 3.4.1 Heating, Ventilating, and Air Conditioning System (HVAC System) 3.4.2 Sensors 3.4.3 Actuators 3.5 IoT Applications in Smart Buildings 3.6 Potential Benefits of Smart Building 3.7 Drawbacks of Incorporating Technology in Buildings References Chapter 4 Semi-Autonomous Human Detection, Tracking, and Following Robot in a Smart Building 4.1 Introduction 4.2 Related Work 4.2.1 Human Detection 4.2.2 Object Tracking 4.2.3 Surveillance Robots 4.3 Proposed Work 4.3.1 Hardware Design 4.3.2 Software Design 4.3.3 Working Algorithm 4.4 Results and Discussion 4.4.1 Experimental Setting 4.4.2 Human Detection Range Test 4.5 Human Tracking Speed Test 4.6 Human Tracking Occlusion Recovery Test 4.7 Comparison of Tracking Algorithms 4.8 Conclusion and Challenges Ahead References Chapter 5 Current-Starved and Skewed Topologies of CNTFET-Based Ring Oscillators for Temperature Sensors 5.1 Introduction 5.2 Background 5.3 Current-Starved Ring Oscillator 5.4 Skewed Topologies 5.5 Negative PMOS and NMOS SKEW Ring Oscillator 5.6 Current-Controlled NMOS and PMOS Ring Oscillators 5.7 Current-Mode CNTFET IFLM (C-IFLM) 5.8 Summary References Chapter 6 Efficient Data Storage with Tier IV Data Center in Smart Buildings 6.1 Introduction 6.2 Design Criteria for Tier IV Data Center 6.3 Conclusion References Chapter 7 IoT-Based Data Collection Platform for Smart Buildings 7.1 Introduction: Background and Driving Forces 7.2 Objectives 7.3 Problem Formulation 7.4 Design of the Scaled-Down Network on Breadboard 7.5 Design of the Thing Speak Platform for Visualization of the Parameters 7.6 Design of the IoT Platform 7.7 Design Specifications 7.8 Design of the Hardware Model 7.8.1 Case 1: ON Switch of Bus 1 Is Pressed 7.8.2 Case 2: ON Switch of Bus 2 Is Pressed 7.8.3 Case 3: OFF Switch of both Buses Is Pressed 7.8.4 Case 4: ON Switch of both Buses Is Pressed 7.9 Results and Discussions 7.10 Conclusion 7.11 Future Scope References Chapter 8 Sensor Data Validation for IoT Applications 8.1 Introduction 8.2 Literature Review 8.3 Proposed System 8.4 Implementation 8.5 Result and Discussion 8.6 Conclusion References Chapter 9 Energy Economic Appliances’ Scheduling for Smart Home Environment 9.1 Introduction 9.2 Appliances’ Categorization 9.3 System Description 9.4 Simulation Results 9.5 Conclusion References Chapter 10 IoT-Based Smart Metering 10.1 Introduction 10.2 Proposed System 10.3 Outcome 10.4 Hardware-Used Interpretation 10.5 Conclusion References Chapter 11 Smart Decentralized Control Approach for Energy Management in Smart Homes with EV Load Abbreviations 11.1 Introduction: Importance of Energy Saving 11.1.1 Load Categorization and Control Strategy 11.2 Proposed System 11.2.1 Sizing of PV Panel 11.2.2 Sizing of Backup Battery 11.3 Design of Subsystems 11.3.1 Inverter Subsystem 11.3.2 Filter Circuit Design for Inverter 11.3.3 Backup Battery Subsystem 11.3.3.1 EV Battery Charging Subsystem 11.4 Master Controller 11.5 Results and Conclusion References Chapter 12 Design and Implementation of Prototype for Smart Home Using Internet of Things and Cloud 12.1 Introduction 12.2 Benefits of Home Automation System 12.2.1 Cost of Installation 12.2.2 Scalability and Extension of the System 12.2.3 Mobile Phone Integration 12.3 Related Works 12.4 System Analysis 12.4.1 Problem Statement 12.4.2 Feature of the Proposed System 12.5 Design and Implementation 12.5.1 Proposed Home Automation System 12.5.2 System Design 12.5.3 System Implementation 12.6 Results and Discussion 12.7 Conclusion and Future Work References Chapter 13 IoT Platform for Monitoring and Optimization of the Public Parking System in Firebase 13.1 Introduction and Literature Survey 13.2 Methodology 13.4 Results and Discussion 13.5 Conclusion References Chapter 14 IoT-Based Smart Health Monitoring System 14.1 Introduction 14.1.1 Objective of the Project 14.1.2 Scope of the Project 14.1.3 Background 14.1.4 Motivation 14.2 Literature Review 14.3 Novelty of the Idea 14.3.1 Overview 14.3.2 Multifunctional 14.3.3 Features 14.3.4 Technology Stack 14.4 Design Approach 14.4.1 Components Used 14.4.2 Methodology 14.4.3 Implementation 14.5 Conclusion 14.5.1 Results 14.5.2 Summary References Chapter 15 Energy Management System for Smart Buildings: Mini Review 15.1 Introduction 15.2 Methodologies 15.3 Optimization and Algorithms 15.4 IoT and Smart Technologies 15.5 Conclusion References Chapter 16 Augmented Lagrangian Model to Analyze the Synergies of Electric Urban Transport Systems and Energy Distribution in Smart Cities 16.1 Introduction 16.2 Augmented Lagrangian Method 16.3 Initializing the Multipliers 16.4 Procedure for Feasibility 16.5 Optimization Model Formulation 16.6 Objective Function and Constraints 16.7 Augmented Lagrangian Model 16.8 Augmented Lagrangian Relaxation Algorithm 16.9 Numerical Calculations 16.10 Conclusion References Chapter 17 Grid-Interconnected Photovoltaic Power System with LCL Filter Feasible for Rooftop Terracing 17.1 Introduction 17.2 Block Diagram of the Proposed System 17.2.1 MPPT Control 17.2.2 Boost Converter 17.2.3 NPC Inverter 17.2.4 Closed-Loop PI Controller 17.2.5 LCL Filter Controller 17.3 Materials and Methodology Used 17.3.1 Descriptive Details of PV Systems 17.3.2 Materials Used in the PV Cells’ Fabrication 17.3.3 PV Cell Characteristics 17.4 Work Plan of Rooftop Terracing 17.5 Simulation Results and Hardware Description 17.6 Summary and Conclusions References Chapter 18 An Efficient ZCS-Based Boost Converter for Commercial Building Lighting Applications 18.1 Introduction 18.2 Circuit Description 18.2.1 Steady State Analysis 18.2.2 Design of the SBC 18.3 Experimental Results 18.4 Case Study of Lighting Design for a Commercial Building 18.4.1 Lighting Design for a Tennis Court 18.4.2 Energy Savings in the Tennis Court 18.5 Conclusion References Chapter 19 Implementation of Smart Grids and Case Studies through ETAP in Commercial and Official Buildings 19.1 About ETAP Software 19.2 Case Study – Detail 19.3 Load Details of the IT Office Building Campus 19.4 Wind Turbine Characteristic Design in ETAP 20.0.4 (WTG) 19.4.1 Control Mode Used for Western Electric Coordination Council (WECC) Type 4 19.4.2 Wind Turbine Generator’s Vmin and Vmax Parameters 19.4.3 Wind Turbine Ramp Start and Stop Details 19.5 Solar PV Array (PVA) Characteristic Design in ETAP 20.0.4 19.6 PVA Design Parameters 19.6.1 Inverter Details of Solar PVA 19.7 Renewable Sources in the Distribution Network Feeding at lT Bus 0.415 kV 19.7.1 Overall SLD in ETAP 20.0.4 19.7.2 Analysis in Detail 19.8 Conclusion Abbreviations References Chapter 20 Data Logger-Aided Stand-Alone PV System for Rural Electrification Abbreviations 20.1 Introduction 20.2 Methodologies 20.3 Optimization and Analysis 20.4 IoT and Smart Technologies 20.5 Conclusion References Chapter 21 Smart Solar Modules for Smart Buildings 21.1 Introduction 21.2 Fundamentals of Solar Cells 21.3 CdS/CdTe Solar Cells 21.4 Roadmap of Research 21.5 The Advanced Research Deposition System 21.6 The Need for Automation of Experiments 21.6.1 Methodology 21.6.2 Results and Discussion 21.6.3 Conclusion 21.6.3.1 Challenges Addressed 21.6.3.2 Perspective 21.7 Future Work Acknowledgment References Chapter 22 IoT-Based Smart Hand Sanitizer Dispenser (COVID-19) 22.1 Introduction 22.2 Literature Survey 22.3 Proposed System 22.4 Methodology 22.4.1 Hand Detection 22.4.2 Temperature Detection 22.4.3 Face Mask Detection 22.4.4 Data Aggregation (Cloud) 22.5 Implementation 22.5.1 Hardware Implementation 22.5.2 Software Implementation 22.5.2.1 CNN Architecture 22.5.2.2 Face Mask Detection Algorithm Using CNN 22.5.2.3 Data Aggregation and Visualization 22.6 Conclusion and Future Works Acknowledgment References Index Vol II Cover Half Title Title Copyright Table of Contents Preface Editors Contributors Chapter 1 Building Smart Cities and Smarter Data Centers for the 21st-Century Global Citizen: A Brief Study 1.1 Introduction: A Backdrop of Accessibility to Energy Globally and Also with India in Perspective: The Need for Smart Cities 1.2 The Need for Smart Cities 1.2.1 Brief Synopses on India’s Utilization of Energy Supply and Challenges 1.3 The Cost of Electricity 1.4 The New Normal as Countries Shift to Smart Technology and Smart Cities Powered by Intelligent Data Centers 1.5 Data Centers that Keep Smart Cities Going – The Brains Behind Bibliography Chapter 2 Big Data for SMART Sensor and Intelligent Electronic Devices – Building Application Acronym 2.1 Introduction 2.2 The Emergence and Considering Big Data toward Building Application 2.3 The Principle of Smart Buildings 2.4 What Is the Purpose of Designing Smart Buildings? 2.5 Application Domain 2.6 The Big Data Challenges and Benefits in Buildings 2.7 The Important Process in Smart Buildings 2.7.1 Technology and Protocols 2.7.2 Data Acquisition and Storage 2.8 Smart Sensors Generator of Big Data 2.9 Big Data Sources 2.10 Smart Building Application 2.11 HVAC Operation Management in a Smart Building 2.12 Developed Tenant Comfort Air Quality Condition 2.13 Secure Smart Access Control for Building Access 2.13.1 Index for Access Control 2.13.2 Mobile Technologies for Greater Security 2.13.3 Smart Access Control in Smart Building 2.13.4 Security Control System 2.14 Safety or Security Applications in Smart Sensors and Big Data 2.15 Conclusion References Chapter 3 IoT-Based Condition Monitoring and Automatic Control of Rotating Machines 3.1 Introduction 3.2 Related Work 3.3 Proposed System 3.4 Results and Discussion 3.5 Conclusion and Future Scope References Chapter 4 Design of CNTFET-Based Ternary Processor for IoT Devices 4.1 Introduction 4.2 Carbon Nanotube FET 4.3 Ternary Control Unit 4.4 Ternary ALU 4.5 Ternary Memory Unit 4.6 Ternary Processor 4.7 Conclusion References Chapter 5 IoT-Based Smart Buildings 5.1 Introduction 5.2 Literature Review 5.3 The Proposed System 5.4 Implementation 5.4.1 Process Flow 5.5 Software Simulation 5.6 Hardware Implementation 5.7 The Analysis 5.8 Results 5.9 Comparative Analysis 5.10 Conclusion and Future Work References Chapter 6 Benefits of Smart Buildings 6.1 What Are Smart Buildings? 6.2 What Are the Key Components of the Smart Building? 6.3 How Buildings Become Smarter? 6.4 What Are the Major Benefits of Smart Buildings? 6.4.1 Predictive Maintenance 6.5 More Occupant Productivity 6.6 Efficient Consumption of Energy 6.7 Smart Buildings Result in Increasing the Asset Value 6.8 Real-Time Action Becomes Easier with the Use of Smart Technology 6.9 Smart Buildings Anticipate Well in Advance 6.9.1 Improved Reliability 6.9.2 Improve Economics 6.9.3 Improve Efficiency 6.9.4 Improved Environment 6.10 Conclusion Chapter 7 An Approach to Realize Luxury Transit Residential Tower Aided with State-of-the-Art Automation Technologies 7.1 Introduction 7.2 Literature Review 7.3 HVAC Project Design 7.3.1 VRF Systems 7.3.2 High Wall/Cassette Units 7.3.3 Energy Recovery Ventilators 7.3.4 Condensing Unit 7.3.5 Toilet Ventilation 7.3.6 Kitchen Ventilation 7.3.7 VRF Control Units 7.3.8 Common Areas of the Apartment Tower 7.3.9 Electric Metering and Billing Systems for HVAC System 7.4 BHK: HVAC System Proposal 7.4.1 Electrical Services 7.4.1.1 Source of Power 7.4.1.2 Subdistribution of Power 7.4.1.3 Standby Power 7.4.1.4 Metering with Communication 7.4.1.5 Cable and Wires 7.4.1.6 Cable Trays and Raceways 7.4.1.7 Conduits 7.4.1.8 Wiring Devices 7.4.1.9 Light Fixtures 7.4.1.10 Home Automation System 7.4.1.11 Surge Protection System 7.4.1.12 Earthing 7.4.2 Fire Alarm and Public Evacuation System 7.4.3 Lighting System for the Apartments 7.4.4 Lighting System for the Public Areas 7.4.5 Plumbing System 7.4.6 Fire Protection System 7.5 Information and Communication Technology Infrastructure Services 7.5.1 Introduction 7.5.2 Services Offered 7.5.3 Apartment Consolidation Panel 7.5.3.1 Internet 7.5.3.2 Wireless Access Point (WAP) 7.5.3.3 Telephone 7.5.3.4 SMATV 7.6 Security 7.6.1 Standards 7.6.2 Surveillance 7.6.3 Lighting 7.6.4 Access 7.6.5 Safety Features Provided in the Case Study 7.7 Vertical Transportation in ITC One Colombo One Residential Tower 7.8 Proposed Remote Control Unit Logic for Use Cases/Settings 7.8.1 First Guest Arrival (The Guest Has Arrived to the Room after Check-in) 7.8.2 Guest Card Removal (When the Guest Leaves the Room) 7.8.3 Subsequent Guest Arrival 7.8.4 Privacy Setting (DND) 7.8.5 MMR 7.8.6 Housekeeping Arrival 7.8.7 Evening Turn Down 7.8.8 Bedside Master Switch 7.8.9 Good Night Switch 7.8.10 Valet Service Function – Laundry Service 7.8.11 Movement Sensor 7.9 Bypassed Circuits 7.9.1 Corridor Panel 7.9.2 Door Strike Operation 7.9.3 Other Specifications 7.9.4 Laptop Software Utility for Trouble-shooting to Work with the Same Communication Port and Same Communication Protocol, Provided for iPad Solution 7.10 Proposed Remote Control Unit Logic for TV Mute System-Use Cases/Settings 7.10.1 Single TV Room: Main Room TV On – Bedside/Bathroom Phone Ring 7.10.2 Multiple TV Room: Bedroom TV On, Living Room TV On – All Phones Ring 7.10.3 Communication with TV for Mute/Unmute Command/Status 7.11 Conclusion References Chapter 8 ANN-Based Overcurrent Relay Using the Levenberg–Marquardt Algorithm for Smart Cities 8.1 Introduction: Background and Driving Forces 8.2 Design 8.3 Overview of Levenberg–Marquardt Algorithm 8.4 Algorithm Developed 8.5 Results and Discussion 8.6 Conclusion References Chapter 9 A Neural Network–Based Vector Control Scheme for Regenerative Converters to Use in Elevator Systems 9.1 Introduction: Background and Driving Forces 9.2 Existing Elevator Systems 9.3 Conventional Braking Resistors 9.4 New AC/DC Bidirectional Converter 9.5 Measurement of Input Parameters in the System 9.5.1 Utility Side AC Voltage (V), Current (A), Frequency (Hz), and Energy (kWh) 9.5.2 Traction Motor Speed (rpm) 9.5.3 Elevator Load (kg) 9.5.4 Elevator Travelling Direction (Up/Down) 9.6 System Data Inputs 9.7 Summary of PI Regulator Model Simulated Data 9.8 Proposed System Overview 9.9 Proposed System Block Diagram 9.10 Simulink Model of NN-Based Control System 9.11 System Outputs 9.12 Comparison of Output Data 9.13 Energy Calculation Results 9.14 Average Energy Improvement 9.15 Improvements in Input Signal Quality 9.16 Overall System Improvements 9.17 System Limitations References Chapter 10 Protection in Smart Building: Mini Review 10.1 Introduction: Smart Building 10.2 Architecture of Smart Buildings 10.3 Need of Smart Buildings 10.4 Protection Issues in Microgrid 10.5 Challenges and Solutions for the Protection of Microgrid 10.6 Protection Strategies of Smart Buildings in Microgrid 10.7 Conclusion References Chapter 11 A Review of Bio-Inspired Computational Intelligence Algorithms in Electricity Load Forecasting 11.1 Introduction 11.2 Bio-Inspired Computing 11.3 Evolution-Based Optimization Algorithm 11.3.1 Genetic Algorithm 11.3.2 Differential Evolution Algorithm 11.4 Swarm Intelligence-Based Optimization Algorithm 11.4.1 Particle Swarm Optimization 11.4.2 Ant Colony Optimization 11.4.3 Bees Colony Optimization 11.4.4 Firefly Optimization 11.4.5 Bat Algorithm 11.4.6 Gray Wolf Algorithm 11.4.7 Cuckoo Search Algorithms 11.5 Artificial Immune System-Based Optimization Algorithm 11.6 Neural System-Based Algorithm 11.7 Role of Bio-Inspired Computational Intelligence Algorithms in Load Forecasting 11.8 Conclusion References Chapter 12 Arduino-Based Fault Detection Schemes for DC Microgrids Abbreviations 12.1 Introduction 12.2 DC Microgrid Configuration 12.3 Modeling of DC Microgrid 12.3.1 Modeling of Photovoltaic Cell 12.3.2 Modeling of Wind Generation System 12.3.3 Modeling of Capacitor Bank 12.3.4 Modeling of Battery System 12.4 Fault Detection Based on Relay Communication in DC Microgrid 12.5 Conclusion and Future Work References Chapter 13 Characterizing Voltage-Dependent Loads and Frequency-Dependent Loads for Load Stability Analysis 13.1 Voltage Stability Elucidation 13.2 Problem Statement 13.3 Material and Method for Implementation 13.3.1 Voltage-Dependant Load Models 13.3.2 Frequency-Dependent Load Models 13.3.3 Binary Search Algorithm 13.3.4 Thyristor-Controlled Series Capacitor 13.3.5 Test System 13.4 Implementation 13.5 Culmination 13.6 Further Scope for Research References Chapter 14 Enabling Technologies for Smart Buildings: High Power Density Power Electronic Converters 14.1 Introduction: Background and Driving Forces 14.2 Dependency and Practical Issues: To Enable High Power Density 14.3 Integrated Power Device Technology 14.4 Wide Bandgap Technology 14.5 Embedded Microjets—Thermal Management 14.6 Micro-electromechanical System (MEMS) Inductors 14.7 Conclusion References Chapter 15 Benefits of Smart Meters in Institutional Building – A Case Study 15.1 Introduction 15.2 Data Collection and Handling 15.3 Tool and Software 15.4 Classification of Dataset 15.5 Load Behavior Pattern References Chapter 16 Placement of Distributed Generation (DG) and Reconfiguration in Radial Distribution Systems – A Review in View of the Smart Building Concept 16.1 Introduction 16.2 Microgrids 16.3 Radial Distribution Structure/Network 16.3.1 Optimal Power Flow 16.3.2 Constraints 16.4 Power Loss Minimization 16.5 Conclusion References Chapter 17 Photovoltaic System-Integrated Smart Buildings: A Mini Review Abbreviations 17.1 Introduction 17.2 Stand-Alone and Grid-Connected PV Systems 17.3 SAPV System 17.4 Energy Storage and Management in PV Systems 17.5 Climatic Effects on PV Systems 17.6 Case Study on Real-Time PV Applications 17.7 Conclusion References Chapter 18 Design of a Hybrid Photovoltaic and Battery Energy Storage System Using HOMER Software 18.1 Introduction 18.2 Economic Utility 18.2.1 Definition 18.2.2 Assumptions 18.3 Environmental Impacts 18.4 Application of HOMER 18.5 Performance of HOMER 18.6 Metrics for Design and Consequence References Chapter 19 AI Applications to Renewable Energy – An Analysis 19.1 Introduction 19.2 Latest Research of AI in Renewables 19.3 Potential Scope for Research 19.4 Conclusion References Chapter 20 Development of UAV-Based Aerial Observation Platform to Monitor Medium-Voltage Networks in Urban Areas 20.1 Introduction 20.1.1 Background 20.1.1.1 Sri Lankan Distribution Network 20.1.2 Problem Statement 20.1.3 Objectives of the Study 20.1.4 Motivation 20.1.5 Methodology 20.2 Literature Review 20.3 Design and Development 20.3.1 Fault Identification 20.3.1.1 Correction of Object Perspective due to Different Capturing Angle 20.3.1.2 Pattern Recognition 20.3.1.3 Pattern Clustering 20.3.2 Development of the Quadcopter 20.3.2.1 Design Inputs 20.3.2.2 Design Calculations 20.3.2.3 Kinematics 20.3.2.4 Electrical Forces (Motors) 20.3.2.5 Aerodynamic Forces 20.3.2.6 Dynamics of the Quadcopter 20.3.2.7 Components Used in the Design 20.4 Testing and Validation 20.4.1 Obtaining Images to Study the Assembly in Details 20.4.1.1 Insulation Assembly 20.4.1.2 DDLO and Surge Arrester Assembly 20.4.1.3 Transformer LV Bushing 20.4.2 Feeder Line Surveying 20.4.3 Image Patch and Defect Identification Algorithm Testing 20.4.4 Quadcopter Testing 20.4.4.1 Tuning the Parameters 20.4.4.2 Control Signal vs Drone Response with Initial Parameters 20.4.4.3 Control Signal vs Drone Response after Applying the Current Parameters 20.4.4.4 Altitude Holding Function 20.4.4.5 Impact Analysis on Time and Space Requirement for Inspection Process 20.4.5 Limitation of the Study 20.5 Conclusion References Appendix 1 Index
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