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Machine Learning and AI Application for Shovel Loading Operation

Name: Machine Learning and AI Application for Shovel Loading Operation
Brand: LAP LAMBERT Academic Publishing
SKU: 9786203860597
Price: 75.59 EUR
Availability: InStock

Autor: Samuel Frimpong

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP LAMBERT Academic Publishing

Dostupnosť: U vydavateľa na objednávku

Odosielame za 17-27 dní

75.59 €

Shovel-truck systems are the most widely employed excavation and material handling systems for surfa...

Informácie o knihe

Autor

Samuel Frimpong

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2021

Stránok

248

EAN

9786203860597

ISBN

620386059X

Enbook ID

36701451

Vydavateľ

LAP LAMBERT Academic Publishing

Hmotnosť

387

Rozmery

150 x 220 x 15

Kompletný popis

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.

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Machine Learning and AI Application for Shovel Loading Operation

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