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%.
AI visual recognition for stockpile dust and transport spillage, combined with meteorological data to predict dust dispersion paths.
Real-time monitoring of fixed pollution sources (e.g., sinter machine heads, coke oven chimneys) for particulate matter, SO₂, and NOx concentrations, with instant alerts for exceedances.
Identifies vehicle emission grades and new energy vehicle ratios, dynamically optimizing transport routes.
AI-Driven Environmental Device Coordination (e.g., synchronized operation of mist cannons and dust removal systems).
Gradient-based Emission Concentration Adjustment (e.g., adaptive dust removal intensity), reducing redundant energy consumption by 30%.
Golden Connection acts as an intelligent "curse" to precisely constrain pollution—real-time identification of unorganized dust hotspots and organized emission exceedances, enabling demand-driven operation of environmental equipment. This ensures compliance while avoiding energy waste from blanket governance, reducing per-ton steel environmental maintenance costs by 15-30%.