Title: Robots, Drones, UAVs and UGVs for Operation and Maintenance Author: , , Dammika Seneviratne ISBN: 1138322113 / 9781138322110 Format: Hard Cover Pages: 408 Publisher: CRC Press Year: 2020 Availability: 2 to 3 weeks
Description
Contents
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.
Key Features
Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles
Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets
Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end
Presents the requirements for robot designers to design an autonomous inspection and maintenance system
Includes practical case studies from industries
Preface
Chapter 1 : Introduction Chapter 2 : Development of Autonomous Vehicles Chapter 3 : Distant Inspection Operations for Industrial Assets Chapter 4 : Sensors for Autonomous Vehicles in Infrastructure Inspection Applications Chapter 5 : Data Acquisition and Intelligent Diagnosis Chapter 6 : Inspection Expert Diagnosis and Three-Dimensional Visualization Chapter 7 : Communications Chapter 8 : Autonomous Vehicles for Infrastructure Inspection Applications Chapter 9 : Critical Failure Detection Application in Autonomous Vehicles Chapter 10 : Autonomous Inspection and Maintenance with Artificial Intelligent Infiltration Chapter 11 : Big Data and Analytics for AV Inspection and Maintenance