Monitoring for Temperature of Three Phase Induction Motor at Chemical Industry Using Internet of Things
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Abstract
Induction motor is the most motor applicable in the world. especially three phase induction motor. Furthermore 95% of induction motor are used as propulsion in industry. However, maintenance costs are large enough more than 50% of operating costs of the industry or the factory. To reduce these costs is to detect early faults in induction motors. One way to detect initial faults is to measure and analyze the temperature of the induction motor. In this research, the authors design temperature monitoring of a three-phase induction motor using the internet of things to make it easier for users to monitor the temperature of an existing three-phase induction motor and to schedule maintenance if temperature reach the operating limit. The field system elements consist of SoC ESP32 to collect data from 2D temperature, to drive lead screw and to send data to cloud. The SoC ESP 32 is connected to the AMG8833 temperature sensor array which collect the frame of temperature of a three-phase induction motor in the form of an 8x8 array. In addition, the SoC ESP32 is also connected to the motor driver L293D to regulate the movement of geared DC motor. Geared DC motor is used to drive the lead screw which already has a mount for placing the AMG8833. From the test on 18.5 kW, 360V induction motor installed in chemical industry, it is obtained the sensor can measure temperature accurately and it travel smoothly above frame. In the storage using MongoDB database, the data transmission fulfilled the QoS requirement.
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