基于大数据的机电仪表自动化运行数据分析与优化

Key Points

• The aim is to utilize big data for optimizing the automated operation of electromechanical instruments.
• Developed a data analysis framework including data collection, preprocessing, storage, and mining modules.
• Constructed a state assessment index and a fault warning model to evaluate performance and alert failures.
• Implemented a multi-objective optimization model for dynamic adjustment and precise optimization of operational parameters.
• Achieved effective state assessment with visualized results.
• Successfully predicted faults and enhanced operational performance through data-driven insights.