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海兴故障大数据 BD-GF

      

       海兴故障大数据BD-GF (Big Data for Grid Faults) 利用大数据和人工智能技术通过对故障录波数据、故障指示器数据、调度自动化数据等电气量以及雷电监测数据、图像监测数据等非电气量的深度融合和综合挖掘,实现配电线路接地选线,分支和非均匀线路以及超高压、特高压输电线路的准确故障定位,为快速查找电网线路故障、修复故障、提高供电可靠性提供强有力的技术保障。


        By using big data and AI techniques and through deeply integrating and comprehensively mining the data generated by digital fault recorders, digital fault indicators, Energy Management System, lightning detecting system, visual monitoring systems, etc., BD-GF (Big Data for Grid Faults) provides a suite of fault analysis and diagnosis functions: distribution feeder grounding fault identification, tapped and non-homogeneous line fault location, two- and three-terminal transmission and UHV transmission line fault location, and thus strong support for finding faults quickly, restoring service rapidly, and improving reliability significantly.


                                    


                     



                                                             


                                                                    

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