Abstract
IoT devices and systems are playing an important part in systems automation in industrial application. Human intervene in manual monitoring results in errors including false data fetching which results in device defects. Vital parameters in industrial machines including pressure, temperature, liquid level and flow must be constantly monitored for better functioning of equipment. These parameters are monitored using sensor data which is displayed using LCD, Bluetooth and Wi-Fi. In this work a fuzzy based approach has been proposed which consume less power as compare to the conventionally used method. These methods utilize the real time data and fuzzify the vital parameters and give output to the operator only which an emergency monitoring is required. The simulated based on pressure, temperature and flow is carried out using MATLAB fuzzy logic tool. The simulation and MAMDANI calculated value are compared which shows a very small error of 0.08% which shows the accuracy of this work.
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Tariq, M.I., Ashraf, M.W., Akhlaq, M., Manzoor, S., Butt, N., Tayyaba, S. (2023). IoT Based Fuzzy Logic System for Monitoring and Controlling of Industrial Parameters. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_45
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DOI: https://doi.org/10.1007/978-3-031-23636-5_45
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