Targeting the pain points of traditional chemical enterprises such as extensive production processes, lagging equipment operation and maintenance, and high labor costs, this solution integrates industrial internet, internet of things, big data and other technologies to realize digital upgrading of production and operation & maintenance. On the production side, it deploys an intelligent production monitoring system to collect real-time operating parameters (such as temperature, pressure, speed) and production data (such as output, energy consumption, raw material consumption) of key equipment including reactors, mixers and heat exchangers, which are centrally displayed through a visualization platform, enabling managers to monitor production status remotely in real time. At the same time, an intelligent optimization algorithm is embedded to automatically adjust process parameters according to production data, optimize production rhythm, improve production efficiency by 15%-20% and reduce human operation errors. On the operation and maintenance side, predictive maintenance technology is adopted. Sensors are used to monitor equipment operating status in real time, analyze equipment vibration, temperature, energy consumption and other data, predict equipment failure risks, issue maintenance early warnings in advance and avoid production losses caused by sudden shutdowns. An equipment operation and maintenance database is established to record equipment maintenance history and spare parts replacement, optimize maintenance plans and spare parts inventory, and reduce operation and maintenance costs by more than 30%. In addition, the solution supports in-depth integration of production data with management systems (ERP, MES), realizing collaborative linkage of production planning, raw material procurement, inventory management and energy consumption statistics, improving the overall operational efficiency of enterprises. Meanwhile, it provides employee operation training services to help production personnel quickly master the operation methods of intelligent equipment and systems, ensuring the effective implementation of digital transformation.