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AI助力新型电厂“吞”垃圾产绿能
Xin Hua Wang· 2025-12-18 00:01
Core Insights - The new waste-to-energy plant in Chongqing processes 3,000 tons of waste daily and generates 600 million kWh of electricity annually with fewer than 100 employees [1] Group 1: Efficiency and Technology - The plant utilizes big data, cloud computing, artificial intelligence, and 3D modeling for smart management, enhancing efficiency and environmental sustainability [1] - The smart garbage handling system reduces reliance on manual labor, with automated systems replacing some mechanical tasks, leading to improved work experiences for employees [3][6] - The implementation of AI algorithms optimizes combustion processes, reducing staffing needs by 1-2 people per shift and saving approximately 160,000 kWh of electricity annually while increasing grid electricity by about 24 million kWh [3] Group 2: Environmental Innovations - The plant employs water seal technology to prevent odor leakage and maintains a negative pressure state to ensure a fresh environment [4] - Waste-to-energy processes include treating fly ash for safe landfill disposal and recycling bottom ash for road construction and brick making [4] - An intelligent flue gas optimization system is set to be constructed in 2024, utilizing deep learning algorithms to predict emissions and reduce the consumption of environmental materials significantly [4] Group 3: Workforce Development - The plant encourages employee involvement in system development, integrating their experiences into automated processes for better operational efficiency [6] - A clear career progression path is established for employees, with training and assessments leading to promotions and enhanced responsibilities [6] - Incentives are provided for identifying safety hazards, fostering a culture of innovation and active participation in plant operations [6]