Smart Trash Bin Based on IoT Using Telegram and Load Cell Sensor for Waste Mass Monitoring System
DOI:
10.29303/jossed.v7i2.15606Published:
2026-10-31Downloads
Abstract
A waste mass monitoring system enhances waste management effectiveness by automatically tracking the condition and fill level of smart trash bins. Smart trash bin design based on Internet of Things (IoT) uses a load cell sensor and Telegram notifications to monitor waste mass. The load cell sensor is connected to an ESP32 microcontroller, which acts as the system's primary controller. Measurement data is transmitted via an IoT framework to the Telegram application on the observer smartphone. The collected data is used to determine the load cell sensor's error and accuracy percentage, tested across a mass range of 5000 g to 50000 g, with an interval of 5000 g. This study used inorganic waste collected from the local community. The smart trash bin based on IoT was monitored throughout daily operations, with measurements taken from morning until night. The sensor's average error was 0.72%, with an average accuracy of 99.28%. A lower error rate corresponds to higher sensor accuracy. The first monitoring session from 08:17 to 22:33, with waste masses ranging from 78 g to 5011 g. The second session from 07:55 to 22:16, with ranging from 102 g to 10618 g. The third session from 07:38 to 22:18, with waste masses ranging from 485 g to 19361 g. The results show that the load cell sensor can continuously measure changes in waste mass and provide relatively stable data. Data from the smart trash bin based on IoT can be accessed remotely via Telegram, facilitating more effective and sustainable waste management.
Keywords:
IoT Load cell Mass Sensor Smart trash bin Telegram WasteReferences
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