| I&T Solution |
AI-based Control System for Sewage application
(REF: S-1909) |
| Trial Project |
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| Solution Feature |
- Predictive Maintenance
- Digital Twin Solution
- Data Historian and Analytics
- Energy Management
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| Trial Application and Expected Outcome |
- Gather historical data on sewage flow rates, weather conditions, and energy usage to train your AI models
- Use machine learning models such as LSTM (Long Short-Term Memory) networks, which are effective for time-series forecasting
- Include features like time of day, weather conditions, and historical flow rates to improve the accuracy of your predictions
- Use AI to dynamically adjust pump operations based on real-time data and forecasted flow rates to minimize energy consumption and prevent overflow
- Ensure your AI system can communicate with existing SCADA (Supervisory Control and Data Acquisition) systems for seamless control and monitoring
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| Additional Solution Information |
AI-based Control System for Sewage application.pptx
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| Info on I&T Solution Provider |
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