Robots, Drones, UAVs and UGVs for Operation and Maintenance 1st Edition by Diego Galar, Uday Kumar, Dammika Seneviratne ISBN 1138322113 978-1138322110

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Product details:

ISBN 10: 1138322113

ISBN 13:  978-1138322110  

Author: Diego Galar, Uday Kumar, Dammika Seneviratne

Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process.

Table of contents: 

Chapter 1 Introduction

1.1 Autonomous Vehicles

1.2 Industrial Assets

1.3 Inspection of Industrial Assets

1.4 Maintenance of Industrial Assets

References

Chapter 2 Development of Autonomous Vehicles

2.1 History of development of Autonomous robots

2.2 Dynamics and Machine Architectures

2.3 Robots and Machine Intelligence

2.4 Programming of Autonomous Robots

2.5 Adaptive Algorithms and Utilization

Chapter 3 Distant Inspection Operations for industrial Assets

3.1 Autonomous Vehicle Inspection Platform

3.2 Inspection Communications and Transport Security

3.3 Obstacle Avoidance

3.4 Inspection Modes and Content

3.5 Inspection Methods

References

Chapter 4 Sensors for Autonomous Vehicles in Infrastructure Inspection Applications

4.1 Sensors and sensing strategies

4.2 Sensor types: introduction

4.3 Sensors for military missions

4.4 Sensor-based localization and mapping

4.5 Sensor fusion, sensor platforms and Global Positioning System

References

Chapter 5 Data acquisition and intelligent diagnosis

3.1 Data acquisition principle and process for laser scanning, visual imaging, infrared imaging, UV image

5.2 Cloud data post-processing technology

5.3 Cloud data intelligent diagnosis

References

Chapter 6 Inspection expert diagnosis and three-dimensional visualization

6.1 Overview

6.2 Line security diagnosis for multi-source data fusion

6.3 Three-dimensonal visualization applications

References

Chapter 7 Communications

7.1 Communication Methods

7.2 Radio Communication

7.3 Mid-Air Collision (MAC) Avoidance

7.4 Communications Data Rate and Bandwidth Usage

7.5 Antenna Types

7.6 Tracking with Multiple Autonomous Vehicles

References

Chapter 8 Autonomous vehicles for infrastructure inspection applications

8.1 Power Line Inspection

8.2 Building Monitoring

8.3 Railway Infrastructure Inspection

8.4 Waterways and Other Infrastructures

References

Chapter 9 Critical Failure Detection Application In Autonomous Vehicles

9.1 Repeated Inspections and Failure Identification

9.2 Autonomous Vehicle Emergency Inspection Applications

9.3 Autonomous Vehicle Navigation Security

References

Chapter 10 Autonomous inspection and maintenance with artificial intelligent infiltration

10.1 Artificial Intelligent Techniques Used in AVs

10.2 Artificial Intelligent Approaches for Inspection and Maintenance

10.3 Current developments of AVs with AI

References

Chapter 11 Big Data and Analytics for AV Inspection and maintenance

11.1 Big Data Analytics and Cyber-Physical Systems

11.2 Big Data Analytics in Inspection and Maintenance

11.3 Integration of Big Data Analytics in AV Inspection and Maintenance

11.4 Utilization of AVs in Industry 4.0 Environment

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Diego Galar,Uday Kumar,Dammika Seneviratne,Robots,Drones,Operation,Maintenance