Javascript must be enabled to continue!
Several Typical Paradigms of Industrial Big data Application
View through CrossRef
Industrial big data is an important part of big data family, which has important application value for industrial production scheduling, risk perception, state identification, safety monitoring and quality control, etc. Due to the particularity of the industrial field, some concepts in the existing big data research field are unable to reflect accurately the characteristics of industrial big data, such as what is industrial big data, how to measure industrial big data, how to apply industrial big data, and so on. In order to overcome the limitation that the existing definition of big data is not suitable for industrial big data, this paper intuitively proposes the concept of big data cloud and the 3M (Multi-source, Multi-dimension, Multi-span in time) definition of cloud-based big data. Based on big data cloud and 3M definition, three typical paradigms of industrial big data applications are built, including the fusion calculation paradigm, the model correction paradigm and the information compensation paradigm. These results are helpful for grasping systematically the methods and approaches of industrial big data applications.
AIRCC Publishing Corporation
Title: Several Typical Paradigms of Industrial Big data Application
Description:
Industrial big data is an important part of big data family, which has important application value for industrial production scheduling, risk perception, state identification, safety monitoring and quality control, etc.
Due to the particularity of the industrial field, some concepts in the existing big data research field are unable to reflect accurately the characteristics of industrial big data, such as what is industrial big data, how to measure industrial big data, how to apply industrial big data, and so on.
In order to overcome the limitation that the existing definition of big data is not suitable for industrial big data, this paper intuitively proposes the concept of big data cloud and the 3M (Multi-source, Multi-dimension, Multi-span in time) definition of cloud-based big data.
Based on big data cloud and 3M definition, three typical paradigms of industrial big data applications are built, including the fusion calculation paradigm, the model correction paradigm and the information compensation paradigm.
These results are helpful for grasping systematically the methods and approaches of industrial big data applications.
Related Results
Petrochemical Production Big Data and its Four Typical Application Paradigms
Petrochemical Production Big Data and its Four Typical Application Paradigms
In recent years, the big data has attracted more and more attention. It can bring us more information and broader perspective to analyse and deal with problems than the conventiona...
Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing
Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing
PurposeThe manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial...
Paradigms in International and Cross-Cultural Management Research
Paradigms in International and Cross-Cultural Management Research
Paradigms exist and have always existed everywhere—assumptions about the world and how it works: Is the Earth round or flat? Is the Earth or the Sun at the center of the universe? ...
Applying a user-centered approach to evaluate the usability of a mobile application for health professionals in home care services (Preprint)
Applying a user-centered approach to evaluate the usability of a mobile application for health professionals in home care services (Preprint)
BACKGROUND
Mobile health (mHealth), or the use of mobile devices in medicine and health, is a sub-category of e-health. mHealth interventions are designed t...
Leveraging big data for agile transformation in technology firms: Implementation and best practices
Leveraging big data for agile transformation in technology firms: Implementation and best practices
The rapid pace of technological advancements and the increasing demand for innovation have compelled technology firms to adopt Agile methodologies, which promote flexibility, speed...
The Evolution of Big Data and Its Business Applications
The Evolution of Big Data and Its Business Applications
The arrival of the Big Data era has become a major topic of discussion in many sectors because of the premises of big data utilizations and its impact on decision-making. It is an ...
The Big Five: Pro et Contra
The Big Five: Pro et Contra
The field of the personality research is very active these days; probably more research is being conducted than ever. Most of the research studies are conducted referring to the Bi...
Digital Footprint as a Source of Big Data in Education
Digital Footprint as a Source of Big Data in Education
The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and...

