Automatic Water Level Monitoring and Pump Control System with Motor Health Monitoring using ESP32

An ESP32-based automatic water-level monitoring and pump-control system with an additional motor-health monitoring layer has been presented. The ultrasonic sensor gives non-contact level information, the ESP32 performs processing and control, the relay switches the pump and the OLED provides local feedback. The addition of vibration, current and temperature sensing extends the system from simple level automation towards condition-aware pump supervision. A working hardware prototype has been assembled using low-cost modules. Future work can improve accuracy and robustness without changing the basic architecture: calibration, filtering and tank-geometry compensation for level estimation; event logging and fault handling in the pump logic; and recording of vibration, current and temperature trends for trend-based maintenance decisions. Data logging, remote notification and water-flow sensing can also be added in a later version, and any safety-critical use should be validated against the requirements of the final application.

[1] Espressif Systems, “ESP32 Series Datasheet.” [Online]. Available: https://documentation.espressif.com/esp32_datasheet_en.html [2] J. Rajanbabu, G. R. Venkatakrishnan, R. Rengaraj, M. Rajalakshmi and N. Jayaprakash, “An integrated smart water management system for efficient water conservation,” Int. J. Electr. Comput. Eng., vol. 15, no. 1, pp. 635–644, Feb. 2025, doi: 10.11591/ijece.v15i1.pp635-644. [3] C. V. Nwufoh, A. A. Adegbile, T. O. Dada, A. B. Dambazau, A. R. Owosibo and F. O. Adewale, “Design and construction of a wireless automatic water monitoring system,” Univ. Ibadan J. Sci. Logics ICT Res., vol. 15, no. 1, Dec. 2025. [4] M. Patil, A. Thakur, S. Thakur and P. Bagul, “Smart water management using IoT technology,” EasyChair Preprint 7892, May 2022. [5] W. X. Yap and N. H. Ali, “IoT-based smart water management system for efficient consumption and conservation,” Multimedia Univ. Inst. Repository, 2025. [Online]. Available: https://shdl.mmu.edu.my/15601/ [6] S. Nandi, H. A. Toliyat and X. Li, “Condition monitoring and fault diagnosis of electrical motors—A review,” IEEE Trans. Energy Convers., vol. 20, no. 4, pp. 719–729, Dec. 2005. [7] P. Gangsar and R. Tiwari, “Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review,” Mech. Syst. Signal Process., vol. 144, Art. no. 106908, 2020, doi: 10.1016/j.ymssp.2020.106908.