Machine Learning and AI Application for Shovel Loading Operation

Language: English

Published by LAP LAMBERT Academic Publishing Mai 2021, 2021

620386059X / 9786203860597

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Softcover

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This item is printed on demand - Print on Demand Titel. Neuware -Shovel-truck systems are the most widely employed excavation and material handling systems for surface mining operations. During this process, a high-impact shovel loading operation (HISLO) produces large forces that cause extreme whole body vibrations (WBV) that can severely affect the safety and health of haul truck operators. The research for solution development of this HISLO problem involved the application of artificial intelligence and machine learning for implementing the impact force detection in real time for a multi-pass shovel loading operation. A detailed step-by-step procedure involved in the successful application of machine learning, deep learning, and artificial intelligence for this real-world problem has been provided in this book.This work was a pioneering effort for advancing knowledge and frontiers in addressing the WBV challenges in deploying heavy mining machinery in safe and healthy large surface mining environments. The smart and intelligent real-time monitoring system minimizes the impact force on truck surface, which in turn reduces the level of vibration on the operator, thus leading to a safer and healthier working mining environment.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 248 pp. Englisch.…

Seller Inventory # 9786203860597

Title
Machine Learning and AI Application for Shovel Loading Operation
Author
Danish Ali
Publisher
LAP LAMBERT Academic Publishing Mai 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620386059X
ISBN 13
9786203860597
Item weight
387 grams
Dimensions
220x150x16 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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