This thesis presents the development of a low-cost measurement system for monitoring the operational state of a washing machine. The system is based on the use of various types of sensors (e.g., accelerometers, temperature sensors, and electrical quantity sensors) and ESP32 microcontrollers, which enable independent operation of individual measurement units, simultaneous acquisition of more than 100 signal channels, and data transmission via the MQTT protocol. The results of experimental testing demonstrate that the system can reliably detect characteristic operating phases, such as water filling, heating, and spinning. The developed solution is distinguished by its low cost, on the order of tens of euros per individual measurement module (sensor, ESP32 microcontroller, and associated electronics), which is significantly lower than comparable industrial systems, typically costing tens of thousands of euros, while still enabling effective monitoring of operational changes. The system provides a foundation for further development of predictive maintenance solutions and, due to its modular design, can be applied to other devices.
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