Industry 4.0: Architecture and Equipment Revolution

Fakhri, Ahmed Bashar; Mohammed, Saleem Latteef; Khan, Imran; Sadiq, Ali Safaa; Alkazemi, Basem Y.; Pillai, Prashant; Choi, Bong Jun

doi:10.32604/cmc.2020.012587

Cited by 13 publications

(2 citation statements)

References 22 publications

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“…With the advancement of communications and computation technology, electronic devices are better at interacting with other devices, thus leading to more use of modern smart technology, artificial intelligence, and internet of things (IoT) devices in the manufacturing sector [2]. The implementations of these modern technologies in manufacturing companies are the core components of the Industry 4.0 concept.…”

Section: Introductionmentioning

confidence: 99%

A Computer Vision-Based System for Metal Sheet Pick Counting

Ji¹,

Pannakkong²,

Buddhakulsomsiri³

2023

Computers, Materials &Amp; Continua

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Inventory counting is crucial to manufacturing industries in terms of inventory management, production, and procurement planning. Many companies currently require workers to manually count and track the status of materials, which are repetitive and non-value-added activities but incur significant costs to the companies as well as mental fatigue to the employees. This research aims to develop a computer vision system that can automate the material counting activity without applying any marker on the material. The type of material of interest is metal sheet, whose shape is simple, a large rectangular shape, yet difficult to detect. The use of computer vision technology can reduce the costs incurred from the loss of high-value materials, eliminate repetitive work requirements for skilled labor, and reduce human error. A computer vision system is proposed and tested on a metal sheet picking process for multiple metal sheet stacks in the storage area by using one video camera. Our results show that the proposed computer vision system can count the metal sheet picks under a real situation with a precision of 97.83% and a recall of 100%.

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Section: Introductionmentioning

confidence: 99%

A Computer Vision-Based System for Metal Sheet Pick Counting

Ji¹,

Pannakkong²,

Buddhakulsomsiri³

2023

Computers, Materials &Amp; Continua

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“…Currently, scientific research and engineering practices regarding digital transformation and intelligent upgrading in the manufacturing industry are in the early stages of exploration. In scientific research, there is research aiming at the critical role that equipment revolution plays in intelligent upgrading of the manufacturing industry [5], remote collaborative intelligent upgrade methods for maintenance staff in small-and medium-sized enterprises [6], parallel and mixed upgrading pathways of intelligent manufacturing in China [7], key breakthrough directions and the implementation plan for intelligent factories in discrete manufacturing [8], and goals, characteristics, and paths of intelligentization of process manufacturing industries such as petrochemical and steel industries [9]. In engineering practices, MindSphere, presented by Siemens, supports companies in building intelligent factories.…”

Section: Introductionmentioning

confidence: 99%

Paths for the Digital Transformation and Intelligent Upgrade of China's Discrete Manufacturing Industry

Li¹,

Li²,

Gao³

2022

Chinese Journal of Engineering Science

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The discrete manufacturing industry in China is currently being transformed and upgraded. Digital transformation and intelligent upgrade is an inevitable choice for China's discrete manufacturing industry, as intelligent manufacturing can promote the quality, efficiency, and competitiveness of discrete manufacturing. The sub-sectors of discrete manufacturing in China differ significantly and require diversified paths for digital transformation and intelligent upgrade. In this paper, we first summarize the typical characteristics of the discrete manufacturing industry, explore the challenges regarding the digital transformation and intelligent upgrade of the industry, and elaborate on common key technologies including advanced manufacturing, new-generation information, and new-generation artificial intelligence. Subsequently, we investigate four typical cases to present the frontier application progress in the field in China and propose the following key development tasks: (1) achieving breakthroughs in key enabling technologies for intelligent manufacturing, (2) developing intelligent manufacturing equipment, (3) building digital and intelligent workshops and factories, (4) providing digital and intelligent services, and (5) building standards and safety systems. Furthermore, it is necessary to accelerate pilot applications, highlight domestication, increase the reserve of high-tech talents, and formulate relevant laws and regulations in the future, to promote the high-quality development of China's discrete manufacturing industry.

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Research on Driving Factors of Independent Innovation Capability of New Energy Equipment Manufacturing Enterprises

Meng

et al. 2022

Advances in Artificial Intelligence and Security

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Industry 4.0: Architecture and Equipment Revolution

Cited by 13 publications

References 22 publications

A Computer Vision-Based System for Metal Sheet Pick Counting

A Computer Vision-Based System for Metal Sheet Pick Counting

Paths for the Digital Transformation and Intelligent Upgrade of China's Discrete Manufacturing Industry

Research on Driving Factors of Independent Innovation Capability of New Energy Equipment Manufacturing Enterprises

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