School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea.
Smart Distribution Research Center, Advanced Power Grid Division, Korea Electrotechnology Research Institute, Changwon 51543, Korea.
Sensors (Basel). 2018 Aug 17;18(8):2703. doi: 10.3390/s18082703.
Research into integrating the concept of the internet of things (IoT) into smart factories has accelerated, leading to the emergence of various smart factory solutions. Most ideas, however, focus on the automation and integration of processes in factory, rather than organic cooperation among mobile assets (e.g., the workers and manufactured products) and fixed manufacturing equipment (e.g., press molds, computer numerical controls, painting). Additionally, it is difficult to apply smart factory and IoT designs to analog factories, because such a factory would require the integration of mobile assets and smart manufacturing processes. Thus, existing analog factories remain intact and smart factories are newly constructed. To overcome this disparity and to make analog factories compatible with smart technologies and IoT, we propose the opportunistic and location-based collaboration architecture (OLCA) platform, which allows for smart devices to be attached to workers, products, and facilities to enable the collaboration of location and event information in devices. Using this system, we can monitor workers' positions and production processes in real-time to help prevent dangerous situations and better understand product movement. We evaluate the proposed OLCA platform's performance while using a simple smart factory scenario, thus confirming its suitability.
将物联网（IoT）的概念融入智能工厂的研究已经加速，各种智能工厂解决方案也随之涌现。然而，大多数想法都集中在工厂流程的自动化和整合上，而不是移动资产（例如工人和制成品）与固定制造设备（例如冲压模具、计算机数控、喷漆）之间的有机合作。此外，将智能工厂和 IoT 设计应用于模拟工厂非常困难，因为这样的工厂需要整合移动资产和智能制造流程。因此，现有的模拟工厂仍然完好无损，而智能工厂则是新建造的。为了克服这种差异，使模拟工厂与智能技术和物联网兼容，我们提出了机会和基于位置的协作架构（OLCA）平台，该平台允许将智能设备附加到工人、产品和设施上，以实现设备中位置和事件信息的协作。使用该系统，我们可以实时监控工人的位置和生产过程，以帮助防止危险情况，并更好地了解产品的移动情况。我们在使用简单的智能工厂场景评估了所提出的 OLCA 平台的性能，从而确认了其适用性。
