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Implementing Smart Factory of Industrie 4.0: An Outlook.
International Journal of Distributed Sensor Networks, (2016): 3159805:1-3159805:10
- The emerging technologies (e.g., Internet of Things (IoT) [1,2,3], wireless sensor networks [4, 5], big data , cloud computing [7,8,9], embedded system , and mobile Internet ) are being introduced into the manufacturing environment, which ushers in a fourth industrial revolution.
- The industry has been advancing to keep pace with this kind of requirements.
- It has experienced three revolutionary stages, that is, three industrial revolutions.
- The industry can continue to improve people’s living standard by providing customized and high-quality products to consumers and setting up a better work environment for employees.
- The industrial production contributes to much of the environmental disruption, such as global climate warming and environmental pollution.
- The industry suffers an ever shrinking workforce supply because of population aging
- The emerging technologies (e.g., Internet of Things (IoT) [1,2,3], wireless sensor networks [4, 5], big data , cloud computing [7,8,9], embedded system , and mobile Internet ) are being introduced into the manufacturing environment, which ushers in a fourth industrial revolution
- We mainly focus on constructing a general architecture of the smart factory and exploring the operational mechanism that organizes the involved technical components
- The massive data can be collected from smart artifacts and transferred to the cloud through the industrial wireless network
- The smart factory helps to implement the sustainable production mode to cope with the global challenges
- The smart factory and the Industrie 4.0 can be implemented in a progressive way, along with the unstopped technical advancements
- Conclusions and Future
With the emerging information technologies, such as IoT, big data, and cloud computing together with artificial intelligence technologies, the authors believe the smart factory of Industrie 4.0 can be implemented.
- The massive data can be collected from smart artifacts and transferred to the cloud through the IWN.
- This enables the system-wide feedback and coordination based on big data analytics to optimize system performance.
- The implementation of smart factory is still facing some technical challenges, the authors are walking on the right path by simultaneously applying the existing technologies and promoting technical advancements.
- The authors will continue to develop the prototype design and focus on the key enabling technologies
- Table1: Technical features of smart factory compared with the traditional factory
- This work was supported in part by the National Key Technology R&D Program of China (no. 2015BAF20B01), the National Natural Science Foundation of China (no. 61262013), the Science and Technology Planning Project of Guangdong Province, China (nos. 2012A010702004 and 2012A090100012), the Fundamental Research Funds for the Central Universities, SCUT (no. 2014ZM0014), and The Open Fund of Guangdong Province Key Laboratory of Precision Equipment and Manufacturing Technology (no
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