海興故障大數(shù)據(jù) BD-GF

       海興故障大數(shù)據(jù)BD-GF (Big Data for Grid Faults) 利用大數(shù)據(jù)和人工智能技術(shù)通過對(duì)故障錄波數(shù)據(jù)、故障指示器數(shù)據(jù)、調(diào)度自動(dòng)化數(shù)據(jù)等電氣量以及雷電監(jiān)測(cè)數(shù)據(jù)、圖像監(jiān)測(cè)數(shù)據(jù)等非電氣量的深度融合和綜合挖掘，實(shí)現(xiàn)配電線路接地選線，分支和非均勻線路以及超高壓、特高壓輸電線路的準(zhǔn)確故障定位，為快速查找電網(wǎng)線路故障、修復(fù)故障、提高供電可靠性提供強(qiáng)有力的技術(shù)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.