The integration of technology into manufacturing processes has paved the way for the fourth industrial revolution, also known as Industry 4.0. This new era of manufacturing focuses on the use of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics to increase efficiency and productivity.
One key aspect of Industry 4.0 is the use of sensors and other monitoring technologies to collect data on the condition of machinery and other assets. This data can then be used to predict potential failures and take preventive measures before failures occur. There are several technologies that can be used for this condition-based monitoring (CbM).
This first article in this two-part series focuses on oil sensors and LTE-M radio as a use case example for CbM applications; the second part will highlight additional use cases using vibration sensors and LoRa as the wireless communication standard.
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Part II: Sensors and IoT Communications for Condition-based Monitoring
This section of the article discusses two use cases: monitoring vibrations with the LoRa wireless protocol and the advantages of pressure sensors in hydraulic systems using Bluetooth for data transmission.
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