Transform waste into high-quality byproducts
Use case
Challenge
In wastewater management, utilizing the byproducts from the water purification process has become increasingly popular. One main byproduct, sludge, can be processed into biosolids such as compost and biogas.
Wastewater raw sludge is rich in organic matter, nitrogen, and phosphor, making it a good candidate for compost, but it should be processed appropriately before being used in agriculture. Anaerobic treatment with hygienization and subsequent drying is one viable method. Several key process parameters, such as pH, temperature, alkalinity, and retention time, affect the quality of the product.
Solution
With Intelecy, the engineers and biologists at the wastewater plant can use no-code machine learning analytics on historical data to find the optimal parameter settings to achieve the best quality.
Result
- Reduced environmental impact
- Circular economy
- Quality optimization
Other Water & Wastewater use cases
Enhance level of purification
Discover how no-code AI models can provide actionable insights for emission reduction by predicting the future value of harmful gases and providing early warnings of deviations in the cleaning process.
Forecast stormwater and prevent overload
Heavy rain may lead to major challenges in already capacity-pressed wastewater facilities. Read about how no-code AI can provide data-driven insights that enable plant operators to take action in advance to prevent stormwater and plant overload.