What is Our AI Solution?

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Our AI solution leverages machine learning models, such as Gradient Boosted Decision Trees (GBDT) for anomaly detection and Long Short-Term Memory (LSTM) networks for time-series flood prediction. These models process sensor data to predict potential issues, such as clogged or malfunctioning devices, while assessing flood risks based on patterns in water levels and flow rates.

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How Does It Work?

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The GBDT model analyzes real-time data from drain grates to detect anomalies like irregular water flow or device malfunctions. Simultaneously, the LSTM model processes historical and real-time water flow data to predict flood risks in specific areas. By aggregating collective data from multiple devices, the system identifies patterns, cross-references information to pinpoint maintenance needs, and provides accurate flood forecasts. This approach ensures proactive responses to both device and environmental challenges.

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Why Do We Do This?

1. Proactive Maintenance: AI predicts device malfunctions and flood risks, enabling fast and effective responses.
2. Efficiency: GBDT and LSTM models automate data analysis, optimizing maintenance schedules and enhancing emergency preparedness.
3. Sustainability: Reduced reliance on manual oversight and better resource allocation minimize waste, ensure system reliability, and mitigate flood impacts.

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