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01AI-based Operator Decision Support
Based on ANN hybrid AI algorithms, the system supports operator decisions during abnormal operation and helps secure stable effluent quality through short-term influent quantity and quality prediction and short-term effluent quality prediction.
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02IoT-based Multi-sensing Water Quality System
Reagent-free multi-wavelength LED sensors measure BOD, COD, TOC, TSS, T-N, and TP simultaneously, enabling low-cost real-time water quality monitoring.
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03AI-based Energy Saving System
ANN-based AI algorithms and statistical correlation analysis optimize aeration volume, chemical dosing, and power consumption to achieve energy-saving effects.
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04Big Data-based Edge Computing System
Edge computing is applied to prevent data latency in cloud computing during big data processing, reducing data load and improving failure response and security.

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SOLUTION 1
Influent quantity and quality change prediction
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SOLUTION 2
Effluent quality prediction linked to influent conditions
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SOLUTION 3
Derivation of operating factors linked to effluent quality
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SOLUTION 4
Process diagnostic analysis
