Generation Method of Electric Work Ticket Based on Deep Learning
With the gradual advancement of the work of reducing the burden of grass-roots employees in the power grid,the de-mand for simplifying the filling of electric work tickets is increasing.In order to solve the problems of irregular filling of safety measures and long review time in the filling of electric work tickets,a deep learning-based electric work ticket generation meth-od is proposed.The method uses long short-term memory network to learn the historical power work ticket billing information,and obtains the power work ticket safety measure experience database.The method is validated in a simulation environment,and its security measure generation accuracy is 90％.This method can improve the ability of automatic generation of electric work tickets and improve the level of lean management at the grassroots level of the power grid.
electrical work ticketgeneration methoddeep learningsafety measure
万方数据
维普
