Aditia, Anivan (2025) PROTOTYPE OF AN AUTOMATIC RINSING SYSTEM IN THE BATTERY PRODUCTION PROCESS BASED ON IOT (INTERNET OF THINGS) USING ESP32. Tugas Akhir thesis, University of Technology.
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Abstract
ABSTRACT The rinsing process is a crucial stage in battery production, serving to eliminate residual electrolyte solution (sulfuric acid) after the charging phase. When performed suboptimal, leftover electrolyte can lead to battery corrosion and degrade product quality. Manual rinsing, however, is often inconsistent, time-consuming, and difficult to control. In response to these challenges, this study aims to design an Internet of Things (IoT)-based automatic rinsing system utilizing the ESP32 microcontroller. The system integrates an E18-D80NK sensor to detect the presence of the battery, an HCSR04 ultrasonic sensor to monitor water levels in the tank, and a pH sensor to measure the acidity of the rinse water. The rinsing process is executed via a water pump and a conveyor mechanism controlled by relays and monitored through an MQTT-based application, enabling both manual and remote automatic operation. Test results demonstrate that the system achieves 100% detection accuracy of batteries within a 1–35 cm range, monitors water levels with over 90% accuracy and precision, and reads pH values with 96.2% accuracy. The system is also capable of automatically repeating the rinsing cycle if the water pH does not reach 5.5 and provides monitoring alerts when the tank is empty or when rinse water conditions require attention. Consequently, the system proves effective in optimizing the battery rinsing process. Keywords: IoT, ESP32, battery rinsing, pH sensor, ultrasonic sensor, MQTT, automation.
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Teknik Elektro |
| Depositing User: | Kaprodi Teknik Elektro |
| Date Deposited: | 08 Aug 2025 02:36 |
| Last Modified: | 08 Aug 2025 02:36 |
| URI: | http://eprints.uty.ac.id/id/eprint/18431 |
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