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@article{176260,
        author = {Tirukkovalluri Naga Sri Sri varun and N. Ramulu and T.Surya and Mohd Sohail},
        title = {Automatic Drainage Cleaning System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6207-6214},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176260},
        abstract = {Blocked drains create flooding, blockages, and environmental emergencies. Cleaning blocked drains represents both a manual tiring task and not as effective cleaning as one would think. We have proposed a project of a Smart Drainage Cleaning System based on ESP32 and water level sensor technologies to monitor drains and clean them automatically. The system will monitor water levels, sense the level of blockages, and if necessary will activate a motorized system to clean the blockage. The user can view the enabled water level monitoring and cleaning system on an IoT platform with real time alerts over Wi-Fi. An ultrasonic sensor can also be enabled to sense solid waste accumulation in the drain. Once the solid waste accumulation is above a specified level, the system will enable a cleaning cycle through a motorized motor gate or filter. The user will receive a notification using mobile application or a web portal. This smart system aims to prevent flooding risks, better manage drains cleaning automatically, and reduce human intervention to clean drains. Future enhancements planned for this smart drain include AI clog detection and adapting solar power systems for energy efficiency},
        keywords = {Genetic algorithm, timetable, constraints, chromosomes, Scheduling, optimal solution.},
        month = {April},
        }