For the dispatcher's actual production process, it is impossible to judge the working condition in real time.The previous theoretical formula has limitations on the actual production guidance,and the pipeline intelligent research is proposed.In addition, it assists the dispatcher in daily work,gradually reduces the dispatcher's work pressure and workload, and improves work and decision-making efficiency.Through the establishment of the pipeline intelligent architecture, the analysis obtains its technical support layer as the core layer.The construction of the core layer needs to be completed by technical experts and algorithm experts according to the pipeline business requirements.Compared with theoretical formulas and data mining algorithms,data mining algorithms based on actual production data can establish corresponding prediction and recognition models according to business needs.Application of data mining method to HY hot oil pipeline, statistical analysis of oil temperature and ground temperatureand the GA-BP oil temperature prediction model is established.The analysis and prediction results are more accurate than the theoretical formula calculation,which can effectively guide the process adjustment of HY hot oil pipeline.The intelligent research of pipeline based on data mining algorithm can effectively improve the pipeline safety optimization control level and lay a foundation for intelligent control of pipelines.