Developing Monitoring System based Internet of Things for Vibration Analysis

Machine maintenance in an industry is an activity that must be carried out to prevent severe damage to the machine and prevent unscheduled downtime. The usual activity performed by a machine technician is to verify the condition of the machine direction and then record it in the records of maintenance activities. The activity has many gaps and risks such as there are measurement data that do not have the same sampling. There is data that is lost because measurements are not carried out at any time and even more health risks for the maintenance technician itself due to exposure to vibration directly every day. This study proposes a monitoring system based Internet of Things to detect machine damage based on vibration analysis. Vibration analysis has been done by using the ADXL335 accelerometer sensor, which is connected to a microcontroller and Raspberry Pi Therefore becomes a vibration sensor module that can send the data to the cloud server using MQTT protocol. Every maintenance technician can observe the condition of the machine and receive an early warning of machine damage through the website interface and mobile application.