Industrial Cyber-Physical Systems (ICPS) require reliable and fast-response sensing solutions to ensure safe and efficient operation of industrial processes. Among various physical parameters, pressure plays a critical role in monitoring pneumatic, hydraulic, and fluid-based systems. This paper presents a comparative experimental study of two widely used sensing approaches for real-time diagnostics: a MEMS-based digital pressure sensor (BMP388) and a strain-gauge-based measurement system using the HX711 analog-to-digital converter. Laboratory experiments were conducted using a Raspberry Pi-based data acquisition platform under controlled conditions. Sensor performance was evaluated in terms of measurement accuracy, response time, signal stability, noise sensitivity, and integration complexity. Experimental results demonstrate that the BMP388 sensor provides higher accuracy and faster dynamic response, making it suitable for precision real-time diagnostics, while the HX711-based solution offers acceptable performance for force- and load-related monitoring tasks after calibration. The findings provide practical guidance for selecting pressure sensing solutions in industrial cyber-physical systems and highlight the feasibility of low-cost embedded platforms for industrial diagnostics.
Keywords
Industrial Cyber-Physical SystemsPressure SensorsMEMSStrain GaugeReal-Time DiagnosticsRaspberry Pi
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