DEVELOPMENT OF A REAL-TIME MONITORING SYSTEM TO DETERMINE RISK ANALYSIS AND CONDITIONS OF MIXING MACHINES IN THE FACTORY
Technological improvements have brought good results to the production quality of the Fast Moving Consumer Goods (FMCG) sector. One aspect of production that can be enhanced is reducing downtime during the end-to-end production process. The mixing machine, which is the upstream component of produ...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/73700 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Technological improvements have brought good results to the production quality
of the Fast Moving Consumer Goods (FMCG) sector. One aspect of production
that can be enhanced is reducing downtime during the end-to-end production
process. The mixing machine, which is the upstream component of production,
needs to be maintained to ensure continuous operation during production. This
paper aims to implement a real-time monitoring system on the mixing machine at
PT. Paragon Technology and Innovation. The system consists of three subsystems:
acquisition, fail-safe, and gateway. The acquisition subsystem utilizes Raspberry Pi
4B to acquire data on the temperature, vibration, and revolution per minute (RPM)
parameters. These three parameters are obtained from the Simex IE1 motor with
the SM 132S2-2 model. The temperature parameter is calculated using a PT100
sensor and MAX31865 converter. Vibration is calculated using the acceleration
value from the HWT901B-232 sensor, while RPM is calculated using an ABZ
photoelectric encoder. The RPM value is obtained through Modbus communication
between the microcomputer and the Shihlin SE3 inverter on the LHL01 panel. The
acquired data undergoes a verification process through the fail-safe subsystem. The
fail-safe subsystem ensures that the data sent has a format compatible with the data
processing interface and guarantees local data storage during abnormalities in the
acquisition subsystem. Once verified, the compressed acquisition data is
transmitted to the gateway panel using the Transmission Control Protocol (TCP)
via the factory's Wi-Fi network into the mikrocomputer Intel NUC7CJYHN. This
protocol ensures reliable data transmission through a three-way handshake
scheme. The data is received by the gateway subsystem and decompressed. All
subsystems function at 100% capacity. After testing, the recorded data shows an
accuracy rate of 99.1% to 99.76% and a precision of 99.7% to 99.8%. The recorded
data also exhibits an average latency of 247.6 ms and an average transmission
speed of 2.613 KB/s. |
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