Patent ID: 11932209
Assignee: CENTRAL SOUTH UNIVERSITY
Field: Measurement (Instruments)
Classification: CPC B  G  Y | IPC B  G

Claim 0:
1. A method for protecting the operation of a train under an air pollution environment, comprising the following steps:
step 1, acquiring multiple groups of roof air quality detection data and underbody air quality detection data, and calculating an average concentration of each pollutant on the roof and underbody of the train during an operating time from the time leaving a departure station to a current time;
step 2, solving a comprehensive roof air evaluation indicator Q0 by using the roof air quality detection data in step 1, and solving a comprehensive underbody air evaluation indicator Q1 by using the underbody air quality detection data in step 1;
step 3, calculating an exposure time T0 of a roof component under the condition of Q0>Q, and calculating an exposure time T1 of an underbody component under the condition of Q1>Q; wherein Q is a set health value of comprehensive air quality evaluation indicator;
step 4, training a calculation model of pollutant condition for the roof component according to the following method:
simulating the operation of the train by using the average concentration, calculated in step 1, of each pollutant on the roof of the train during the operating time from the time leaving the departure station to the current time and the T0 correspondingly solved in step 3 as experimental simulation conditions to obtain a pollution level G0 of the roof component under different experimental simulation conditions; and
training the calculation model of pollutant condition for the roof component by using the average concentration, calculated in step 1, of each pollutant on the roof of the train during the operating time from the time leaving the departure station to the current time and the T0 correspondingly solved in step 3 as an input and using G0 as an output to obtain a trained calculation model of pollutant condition for the roof component;
training a calculation model of pollutant condition for the underbody component according to the following method:
simulating the operation of the train by using the average concentration, calculated in step 1, of each pollutant on the underbody of the train during the operating time from the time leaving the departure station to the current time and the T1 correspondingly solved in step 3 as experimental simulation conditions to obtain a pollution level G1 of the underbody component under a different experimental simulation condition; and
training the calculation model of pollutant condition for the underbody component by using the average concentration, calculated in step 1, of each pollutant on the underbody of the train during the operating time from the time leaving the departure station to the current time and the T1 correspondingly solved in step 3 as an input and using G1 as an output to obtain a trained calculation model of pollutant condition for the underbody component;

step 5, acquiring, after the train stops, roof air quality detection data and underbody air quality detection data;
step 6, by using the roof air quality detection data in step 5, solving an average concentration of each pollutant on the roof of the train during the operating time from the time leaving the departure station to the current time when the roof air quality detection data and underbody air quality detection data are acquired after the train stops, solving a comprehensive roof air evaluation indicator Q0, and calculating an exposure time T0 of the roof component under the condition of Q0>Q; and calling the trained calculation model of pollutant condition for the roof component under the condition of Q0>Q to solve a roof component pollution level; and
by using the underbody air quality detection data in step 5, solving an average concentration of each pollutant on the underbody of the train during the operating time from the time leaving the departure station to the current time when the roof air quality detection data and underbody air quality detection data are acquired after the train stops, solving a comprehensive underbody air evaluation indicator Q1, and calculating an exposure time T1 of the underbody component under the condition of Q1>Q; and calling the trained calculation model of pollutant condition for the underbody component under the condition of Q1>Q to solve an underbody component pollution level; and
step 7, performing corresponding cleaning on the roof component according to the pollution level, solved in step 6, of the roof component; and
performing corresponding cleaning on the underbody component according to the pollution level, solved in step 6, of the underbody component.