“三大法宝”助企业提质增效 ——山东海化集团携手浪潮构筑数智化生态

Core Viewpoint - Shandong Haohua Group and Inspur Digital Enterprise Technology have signed a partnership to build an "industrial big data + industry big model" intelligent decision-making hub, enhancing AI-driven smart transformation in the chemical industry [1] Group 1: Production Efficiency - The collaboration has led to the development of an intelligent model that optimizes production processes, resulting in an annual increase of 8,760 tons of soda ash and over 10 million yuan in efficiency gains [1] - The operational frequency in the calcium chloride plant has decreased from 3,300 times daily to 83 times, a reduction of 97.5% [1] - The bromine plant has reduced its workforce from 172 to 58, saving over 20 million yuan in labor costs [1][2] Group 2: Equipment Maintenance - An AI-driven predictive maintenance system has been established, transitioning from passive repairs to proactive alerts, significantly reducing maintenance costs and unplanned downtimes [3] - The platform integrates equipment fault mechanisms with multi-source operational data, enabling real-time assessment and early risk identification of critical equipment [3] - The AI predictive model has achieved over 95% accuracy in fault identification for chlorine compressors [3] Group 3: Safety Management - The intelligent inspection system has upgraded safety inspections from human-dependent to AI-led processes, enhancing operational efficiency [4] - Continuous data collection and reinforcement learning have improved the model's ability to autonomously assess hazard levels and generate standardized work orders [4] - The introduction of a "robot + digital human" dual inspection model has increased inspection efficiency by 50% and improved risk analysis and hazard identification completion rates by 20% [4]