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本项目针对石油、天然气等领域管道腐蚀防控需求，集成BP神经网络、支持向量机等数十种机器学习算法，构建多模型协同预测平台。通过采集温度、压力、流速等环境参数及管道历史数据，结合数据清洗、特征工程与模型调优技术等问题。创新点包括多算法集成的一站式预测框架、交互式图形界面设计等。项目旨在填补现有单一模型预测工具的不足，提升工业管道安全性与管理效率，推动智能化技术在腐蚀防控领域的应用。
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