Development of Microcontroller-Based Status Monitoring System for Diagnosis and Prognosis of Smart Factory

Paper in proceedings (conference paper)

en

In modern smart manufacturing, machine condition monitoring is essential. To achieve the goal, the associate status monitoring system needs to have several features such as data acquisition from sensors, edge computing for generating effective index, and user interface to display information and communicate with the host. To accomplish these abilities, this work hires a M487 micro controller (MCU) and a R-Pi single-board computer (SBC) to develop the associate status monitoring system for both computational versality and cost-saving considerations. The microcontroller is responsible for data acquisition and edge computing, while the single-board computer would handle the data transmission and user interface issues. The entire system is modulized for ease of carry and modification in any factory equipment. The module could extract key sensor indexes in both time and frequency domains per 30 seconds for signals from 12 channels and has been operated for approximately one month continuously in a local LCD panel manufacturing company for diagnosing possible abnormal conditions. In comparison to other modules, the designed module is far more flexible and powerful for practical industrial needs and should be very useful for cyber-physical system realizations.

Smart factory, status monitoring, diagnosis and prognosis, edge computation, man-machine interface

2024-08-27

979-8-3315-4446-1

2024 SICE Festival with Annual Conference, SICE FES 2024

217–6

212