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Monitoring of Measuring Devices Using a Programmable Logic Controller and a Dedicated Desktop Application
Bartosz Kwapisz1, Michał Doligalski2, Marek Ochowiak1
1Department of Chemical Engineering and Equipment, Poznan University of Technology, 60-965 Poznan, Poland.
This study presents a flexible control and measurement system using programmable logic controllers (PLCs) for monitoring fluid temperature, pressure, and flow rate in multiphase spraying processes. A Python application was developed for data visualization and management.
Area of Science:
- Engineering
- Automation and Control Systems
- Instrumentation
Background:
- Safe and effective operation of technological installations relies on robust control and measurement systems.
- Programmable Logic Controllers (PLCs) offer flexible solutions for data acquisition and system control.
- Adapting systems to specific user needs and existing infrastructure is crucial for practical implementation.
Purpose of the Study:
- To design and implement a novel control and measurement system for monitoring fluid parameters.
- To leverage the capabilities of PLCs for creating adaptable and efficient monitoring solutions.
- To develop a data management application for collected process data.
Main Methods:
- Utilized programmable logic controllers (PLCs) for data acquisition and system control.
- Integrated the PLC system with an existing test stand for multiphase spraying processes.
- Developed a data management application using Python for displaying, storing, and exporting collected data.
Main Results:
- Successfully implemented a system for monitoring temperature, pressure, and flow rate of fluids.
- Demonstrated the adaptability of PLC-based systems to existing technological installations.
- Created a functional Python application for comprehensive data handling.
Conclusions:
- The developed PLC-based system provides a flexible and effective solution for monitoring critical fluid parameters.
- The integration of PLCs and Python-based applications enhances the utility and accessibility of process data.
- This approach is suitable for optimizing and controlling complex processes like multiphase spraying.
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