Design a data collection system for palm kernel screw press

The paper describes the various materials and methods used to create a functioning prototype of a mass flow rate data collection system which is applicable to the palm kernel screw press machine only. The system was then used to obtain crucial information through a series of tests which include the load cell calibration test which resulted in a maximum error of 5% deviation from the actual value of mass at higher loads. The Bluetooth Module and Arduino Uno communication test however, brought about great results as the prototype was found to function as intended and had a 100% success rate to perform optimally in a real-life situation. The mass flow rate data collection system will be able to notify the user when the screw press machine has reached a critical point for maintenance and also help in the troubleshooting process to locate the source of the decrease in performance of the screw press.