Abstract: A metro rail corrugation measurement method based the Seq2Seq model and vibration and noise data fusion comprises the following steps: Constructing a time series data set corresponding to floor longitudinal acceleration and train speed based on historical data of metro trains; Constructing the metro train mileage matching prediction model based on the Seq2Seq model, training the metro train mileage matching prediction model by time series data sets, and inputting the inside floor longitudinal acceleration of the metro train to be detected into the trained metro train mileage matching prediction model to obtain the running speed of the metro train to be detected. According to the vibration and noise data of the metro train to be detected, the vibration and noise composite index of the rail corrugation is calculated to determine the wavelength and amplitude information corresponding to the rail corrugation.

Abstract: A low-carbon urban land layout optimization simulation method includes establishing a land layout optimization scheme by determining the objective function and constraint conditions of the adjustable land layout optimization; the objective function includes the first objective function to achieve low-carbon transportation, the second objective function to reduce the urban heat island effect, and the third objective function to control and adjust the carbon cost; the vector plot with internal nested grid points is used as the simulation analysis unit, and the genetic algorithm is used to simulate the land layout optimization scheme. In the simulation process, the simulation analysis unit is used to select, cross, and mutate in the genetic algorithm, and finally, the optimal land layout scheme is selected. The method uses the global and holistic characteristics of a genetic algorithm to screen out the optimal land use layout scheme.

Abstract: The invention provides the unsupervised learning-based fault diagnosis method and system for detecting wheel out of round, which belongs to the technical field of machine learning fault diagnosis. Characteristic signals of train wheels will be acquired. The pre-trained detection model is adopted to process the characteristic signals of the train wheels to be detected, so as to obtain the wheel roundness state results. As for the collected characteristic signals, the invention constructs a subway wheel out of round detection method based on unsupervised learning for collected characteristic signals, which are deployed to computer equipment capable of executing computer programs, inputting characteristic signal data collected by a subway wheel out of round monitoring device based on rail wayside response into the computer equipment to obtain the wheel roundness state.

Abstract: A metro rail corrugation measurement method based the Seq2Seq model and vibration and noise data fusion comprises the following steps: Constructing a time series data set corresponding to floor longitudinal acceleration and train speed based on historical data of metro trains; Constructing the metro train mileage matching prediction model based on the Seq2Seq model, training the metro train mileage matching prediction model by time series data sets, and inputting the inside floor longitudinal acceleration of the metro train to be detected into the trained metro train mileage matching prediction model to obtain the running speed of the metro train to be detected. According to the vibration and noise data of the metro train to be detected, the vibration and noise composite index of the rail corrugation is calculated to determine the wavelength and amplitude information corresponding to the rail corrugation.