AI and IoT Meet Mobile Machines: Towards a Smart Working Site
Yusheng Xiang
Infrastructure construction is society’s cornerstone and economics’ catalyst.
Therefore, improving mobile machinery’s efficiency and reducing their cost of use
have enormous economic benefits in the vast and growing construction market.
For this purpose, many methods have been proposed by industry and academia
during the past few decades which contribute to even better products. As research
in this area becomes more mature, significant optimization of single construction
machine is less likely to exist. Therefore, instead of focusing on improving the
performance of single construction machinery, I considered a group of construction
machinery as a whole system to improve the productivity of the working
site. In this thesis, I envision a novel concept smart working site to increase
productivity through fleet management from multiple aspects and with Artificial
Intelligence (AI) and Internet of Things (IoT).
(From the Preface)
Therefore, improving mobile machinery’s efficiency and reducing their cost of use
have enormous economic benefits in the vast and growing construction market.
For this purpose, many methods have been proposed by industry and academia
during the past few decades which contribute to even better products. As research
in this area becomes more mature, significant optimization of single construction
machine is less likely to exist. Therefore, instead of focusing on improving the
performance of single construction machinery, I considered a group of construction
machinery as a whole system to improve the productivity of the working
site. In this thesis, I envision a novel concept smart working site to increase
productivity through fleet management from multiple aspects and with Artificial
Intelligence (AI) and Internet of Things (IoT).
(From the Preface)
Categorias:
Ano:
2022
Editora:
KIT Scientific Publishing
Idioma:
english
Série:
Karlsruher Schriftenreihe Fahrzeugsystemtechnik
Arquivo:
PDF, 19.53 MB
IPFS:
,
english, 2022