Prediction of Metro Train Air-conditioning Return Air Temperature Based on Real-time Field-measured Data
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 12
Abstract
［Objective］ To enable proactive adjustment of the cooling capacity for metro train AC (air-conditioning) system based on ambient temperature, it is essential to study the prediction of return air temperature in metro train AC systems. ［Method］ A time series forecasting method is employed to predict the variation trend in return air temperature of metro train AC systems. Real-time operational data from the air-conditioning system of a Guangzhou Metro train are collected through AC sensors. Outliers are removed using a boxplot, and a sliding window approach is applied to handle the time span of input and output data. An LSTM (long short-term memory) neural network model is then constructed to predict the return air temperature of the AC units, and the impact of different sample sizes on the model prediction accuracy is comparatively analyzed. ［Result & Conclusion］ The LSTM neural network model can learn the temperature control logic of metro train AC system, with the predicted temperature curve closely matching the actual temperature curve, therefore is suitable for predicting the return air temperature of metro AC units. Through parameter optimization, the model accuracy is improved to 0.84, enabling precise prediction of unit return air temperature. Increasing the sample size for a single training session can shorten model training time but may reduce the model final prediction accuracy to some extent correspondently.
Authors and Affiliations
Chuang YANG, Yu YANG, Liang CHEN, Huanxin CHEN, Hengda CHENG
Keywords
Related Articles
- EP ID EP752723
- DOI 10.16037/j.1007-869x.2024.12.018
- Views 22
- Downloads 0
Prediction and Analysis of Earth Pressure Balance Shield Machine Advancing Speed in Limestone Stratum
Objective The advancing speed of shield machine is crucial not only for the tunnel excavation pace but also for the predicting construction schedule and cost. Therefore, it is necessary to predict and analyze the advanci...
Optimization of ATO Re-benchmarking Method Based on Light Braking Command
Objective When the initial parking of an FAO (fully automatic operation) train in station exceeds the permitted range for door opening, the ATO (automatic train operation) system needs to re-benchmark accurately. The con...
Interlocking Interface Scheme for Urban Rail Transit Existing Depot Signaling System Renovation
Objective After reaching an operational lifespan, the signaling systems of existing urban rail transit lines need updating and renovation. A depot interlocking interface scheme should be developed to achieve a smooth tra...
Forecasting Spare Parts Demand for Critical Rail Transit Vehicle Equipment Based on ARIMA-SVR Model
［Objective］ Accurately forecasting the demand for spare parts during critical rail transit vehicle equipment maintenance provides a foundation for scientific spare parts management and improves maintenance cost-efficie...
Numerical Simulation Analysis of Cleanable Uniform Air Ducts in Metro Vehicles
Objective With the increasing demand of passengers for air quality and uniform air supply in metro train interiors, it is necessary to study how to improve the uniformity of cleanable air supply in metro vehicles. Method...