Sense disturbances
Identify feedstock heating-value characteristics and shifts in combustion, predicting furnace temperature trends in advance.
COMBUSTION INTELLIGENCE / MANUDRIVE
Furnace & incineration
Keep combustion stable through changing conditions.
Move from reactive adjustments to anticipation. Connect feedstock parameters, furnace temperature histories and operating experience with prediction, optimization and safety constraints.
Explore ManuDrive →01 / THE CHALLENGE
Start with the process.
Blast-furnace smelting and waste incineration face intense process disturbances. Feedstock composition, calorific value and moisture change continuously, causing sharp temperature shifts. Manual, experience-based control responds late, leaving high energy use, unstable power output, emissions excursions and boiler fouling risks.
- Key inputs
- Feedstock parameters, furnace temperature, air ratios, feed rates, flue-gas indicators and operating history
- Optimization objectives
- Stabilize combustion, improve fuel and power-generation efficiency, and reduce energy use and emissions excursions.
02 / FROM DATA TO DECISIONS
How AI contributes.
Optimize dynamically
Match airflow, feed rates and grate or injection settings within both safety and emissions constraints.
Maintain stability
Actively damp combustion disturbances caused by feedstock variability and maintain the target temperature range.
03 / IN PRODUCTION
A leading East China waste operator: more stable incineration.
Deployed at a leading solid-waste operator in East China, with measured improvements in electricity generated per tonne of waste, fewer emissions excursions and more stable furnace conditions. The deployment provides a basis for replication in comparable furnace and incineration settings.
Company project measurements under specific feedstock, equipment and operating conditions; client shown anonymously.
04 / QUESTIONS & CONTEXT
A closer look.
How do blast furnaces and incinerators share model capability?
The foundation model reuses continuous-process understanding, disturbance prediction and dynamic optimization, with process adaptation and parameter tuning for injection systems or incinerator grates.
How are emissions and safety incorporated?
Safety and emissions limits form joint optimization constraints. Strategies stay within the site's allowed airflow, feeding and actuator settings and improve with continuous operating feedback.
SOURCES & CONTEXT
This page is based on the company's description of its business.
LET’S BUILD WHAT’S NEXT.