Development of an Industrial Internet of Things Suite for Smart Factory towards Re-industrialization in Hong Kong
C.K.M. Lee, S.Z. Zhang
Available Online November 2016.
- https://doi.org/10.2991/iwama-16.2016.54How to use a DOI?
- re-industrialization; internet of things; industrial internet of things; cloud platform; smart hub
- Re-industrialization, which supports industrial upgrading and transformation, promotes smart production and high value-added manufacturing processes, and helps to create new momentum for the economic growth of Hong Kong. Under the current situation, industrialists encounter several challenges to achieve re-industrialization. First, the cost and technical thresholds for industrialists to leverage emerging technologies are high. Second, there are huge quantities and numerous types of Internet of Things (IoT) devices in smart factories, warehouses and offices. The enormous extents of data exchange and communication, management, monitoring and control of IoT devices as well as the establishment and maintenance of a reliable cloud platform hinder industrialists to implement an integrated smart production management. Therefore, to achieve re-industrialization, upgrade and optimize advanced manufacturing processes in Hong Kong, an Industrial Internet of Things (IIoT) Suite consisting of a Micro-services-based IIoT Cloud Platform and IIoT-based Smart Hub is proposed, which helps to materialize re-industrialization in Hong Kong and to conduct industrial upgrading and transformation to achieve smart production and high value-added manufacturing processes.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - C.K.M. Lee AU - S.Z. Zhang PY - 2016/11 DA - 2016/11 TI - Development of an Industrial Internet of Things Suite for Smart Factory towards Re-industrialization in Hong Kong BT - 6th International Workshop of Advanced Manufacturing and Automation PB - Atlantis Press SN - 2352-5428 UR - https://doi.org/10.2991/iwama-16.2016.54 DO - https://doi.org/10.2991/iwama-16.2016.54 ID - Lee2016/11 ER -