Future and Automation Systems and Technologies Laboratory (FAST-Lab.), Tampere University, P.O. Box 600, FI-33014 Tampere, Finland.
Sensors (Basel). 2019 Jan 22;19(3):438. doi: 10.3390/s19030438.
The manufacturing industry requests novel solutions that will permit enterprises to stay competitive in the market. This leads to decisions being made based on different technologies that are focused on real-time accurate measurement and monitoring of manufacturing assets. In the context of traceability, radio frequency identification (RFID) tags have been traditionally used for tracking, monitoring, and collecting data of various manufacturing resources operating along the value chain. RFID tags and microelectromechanical systems (MEMS) sensors enable the monitoring of manufacturing assets by providing real-time data. Such devices are usually powered by batteries that need regular maintenance, which in turn leads to delays that affect the overall manufacturing process time. This article presents a low-cost approach to detect and measure radio frequency (RF) signals in assembly lines for optimizing the manufacturing operations in the manufacturing industry. Through the detection and measurement of RF signals, the RF energy can be harvested at certain locations on the assembly line. Then, the harvested energy can be supplied to the MEMS sensors, minimizing the regular maintenance for checking and replacing batteries. This leads to an increase in the operational efficiency and an overall reduction in operational and maintenance costs.
制造业需要新颖的解决方案，以使企业在市场上保持竞争力。这导致企业基于不同的技术做出决策，这些技术专注于实时准确地测量和监控制造资产。在可追溯性方面，射频识别 (RFID) 标签传统上用于跟踪、监控和收集价值链上各种制造资源的数据。RFID 标签和微机电系统 (MEMS) 传感器通过提供实时数据来实现对制造资产的监控。此类设备通常由需要定期维护的电池供电，这反过来又会导致延迟，从而影响整个制造过程的时间。本文提出了一种低成本的方法，用于检测和测量装配线上的射频 (RF) 信号，以优化制造业的制造操作。通过检测和测量 RF 信号，可以在装配线上的某些位置收集 RF 能量。然后，可以将收集到的能量提供给 MEMS 传感器，从而减少检查和更换电池的定期维护。这提高了运营效率，并降低了运营和维护成本。
