Condition-based Maintenance is a type of maintenance based on collected information through monitoring of the machine condition. This system uses Node-RED in Raspberry Pi to read the parameter value in the PLC Siemens S7-1200. The parameter being read is the motor vibration, the motor temperature, and the motor load factor (only simulated). This system monitors the motor parameter, sends a notification to users, keeps the parameter value to the database, and gives the average parameter value on that day. The measured parameter enables the system to analyze the possible causes of the increasing parameter values. Based on the testing results, PLC succeeds in sending the data to the Node-RED, monitoring the online dashboard, performing condition-based maintenance process, storing the motor parameter to the database, and sending the alarm notification through an email or SMS for users who are connected to the internet. We perform the experiments using PLC’s simulated inputs and outputs, as the sensor reading of motor data still cannot be done accurately.
