In order to accurately warn the risk of dual power fast switching in oil transportation station and ensure the safety of dual power fast switching device in oil transportation station,an early warning model of dual power fast switching risk in oil transportation station based on deep residual network algorithm is constructed.After analyzing the principle of dual power fast switching and the influencing factors of dual power fast switching risk,an early warning index of dual power fast switching risk is constructed.Through the multi-source early warning index fusion method based on the optimized D-S theory,the constructed multiple dual power supply fast switching risk early warning indexes are fused,and the risk early warning samples are estab-lished as the identification samples of the risk identification model of dual power supply fast switching device based on the deep residual network,and used to identify whether the dual power supply fast switching device in the oil transportation station has risks and carry out accurate early warning according to the identification results.The test shows that the early warning accuracy of the constructed model for the risk of double power supply fast switching in the oil transportation station is greater than 0.95,and the accuracy is higher.
关键词
深度残差网络/输油气站场/双电源/快速切换/风险预警
Key words
depth residual network/oil transportation station/dual power supply/fast switching/risk early warning
维普
万方数据