This platform establishes a dynamic "unorganized emission-governance response" management network for steel enterprises. By integrating AI visual recognition, acoustic monitoring, and dust sensor fusion technologies, it captures real-time atmospheric pollution sources across the entire plant, including stockyard dust, chimney fugitive emissions, and transport vehicle exhaust.
When the system detects issues like dust leakage from conveyor corridors or uncovered transport vehicles, it automatically triggers mist cannons, dry fog systems, and car wash stations, while generating pollution source heatmaps to guide manual interventions.
Acting like a "tightening curse," the platform achieves second-level perception and minute-level resolution of pollution incidents, improving environmental management efficiency by 60% and reducing energy waste from redundant equipment operations by 30%.
Tracks raw material consumption (e.g., iron ore, coke) and product efficiency.
Analyzes electricity, gas, and heat synergies, optimizing production scheduling based on peak/off-peak tariffs.
Links process emission intensity with governance facility energy use, generating cost-optimal emission reduction paths. Includes carbon flow tracking and dynamic carbon quota optimization.
Balances production stability vs. environmental compliance vs. cost efficiency, recommending key parameter combinations (e.g., sinter machine speed, casting speed) to maximize comprehensive benefits.
Synthex redefines industrial metabolism through "yin-yang equilibrium"—dynamic coupling of material-energy-pollution-carbon flows ensures stable blast furnace operations while intelligently adjusting production rhythms and governance intensity. Achieves a 10% reduction in per-ton energy consumption and 20% lower carbon intensity, breaking the "zero-sum game" between environmental and economic goals.