Research Topic

Application of the Internet of Things in Mechanical and Manufacturing Engineering Field

About this Research Topic

In recent years, the development of advanced mechanical systems and manufacturing has been continuously pushed to fulfil a higher demand for specification. Due to a need for better and more consistent products quality, more product variability, reduced product cost, globally competitive products, and a shorter product life cycle. The advancement of data communication and storage through the Internet of Things (IoTs) opens the possibilities of connecting sensors, robots, and devices. In other words, the human role in industry is decreasing due to the development of connected manufacturing floors allowing them to take more control over the manufacturing processes, decisions, and even maintenance.

The Big Data generated by the manufacturing process is consistently growing and becoming more valuable than the hardware that it generates. However, to make use of it, manufacturers must distinguish the useful data from Big Data. After which, the useful data must be correctly analyzed in order for it to be meaningfully interpreted and understood. Thus, the resource that manufacturers require is not only Big Data, but also the ability to manage the data and turn it into useful data that can be used for decision support and maximize the profit margin.

This Research Topic aims to collect and share the novel research from academics and researchers with a focus on the Application of IoT in Mechanical and Manufacturing Engineering Field. We welcome the submission of articles relating to Big Data Analysis, Industry 4.0, Intelligent Manufacturing, Industrial Internet of Things (IIOTs), Cloud Computing, Machine and Deep Learning, Two-way Human-robot Interaction, Virtual, Augmented, and Mixed Reality, Collaborative Robotics, Automated Process Data Management, and Digital Manufacturing.


Keywords: Big data analysis, Cloud computing, Digital mechanical system, Industry 4.0, Internet of things


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

In recent years, the development of advanced mechanical systems and manufacturing has been continuously pushed to fulfil a higher demand for specification. Due to a need for better and more consistent products quality, more product variability, reduced product cost, globally competitive products, and a shorter product life cycle. The advancement of data communication and storage through the Internet of Things (IoTs) opens the possibilities of connecting sensors, robots, and devices. In other words, the human role in industry is decreasing due to the development of connected manufacturing floors allowing them to take more control over the manufacturing processes, decisions, and even maintenance.

The Big Data generated by the manufacturing process is consistently growing and becoming more valuable than the hardware that it generates. However, to make use of it, manufacturers must distinguish the useful data from Big Data. After which, the useful data must be correctly analyzed in order for it to be meaningfully interpreted and understood. Thus, the resource that manufacturers require is not only Big Data, but also the ability to manage the data and turn it into useful data that can be used for decision support and maximize the profit margin.

This Research Topic aims to collect and share the novel research from academics and researchers with a focus on the Application of IoT in Mechanical and Manufacturing Engineering Field. We welcome the submission of articles relating to Big Data Analysis, Industry 4.0, Intelligent Manufacturing, Industrial Internet of Things (IIOTs), Cloud Computing, Machine and Deep Learning, Two-way Human-robot Interaction, Virtual, Augmented, and Mixed Reality, Collaborative Robotics, Automated Process Data Management, and Digital Manufacturing.


Keywords: Big data analysis, Cloud computing, Digital mechanical system, Industry 4.0, Internet of things


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

31 January 2018 Abstract
31 May 2018 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

31 January 2018 Abstract
31 May 2018 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..

Comments

Loading..

Add a comment

Add comment
Back to top