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

Claim 6:
7. A system for protecting the operation of a train under an air pollution environment, comprising:
a roof air quality detection module configured to acquire roof air quality detection data;
an underbody air quality detection module configured to acquire underbody air quality detection data;
a data transmission module configured to transmit the acquired roof air quality detection data and underbody air quality detection data to a data processing module;
the data processing module configured for modeling and calculating pollution levels;
wherein the modeling process comprises:
calculating an average concentration of each pollutant on the roof of the train during an operating time from the time leaving a departure station to a current time by using the roof air quality detection data, and calculating 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 by using the underbody air quality detection data;
solving a comprehensive roof air evaluation indicator Q0 by using the roof air quality detection data, and solving a comprehensive underbody air evaluation indicator Q1 by using the underbody air quality detection data;
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;
training a calculation model of pollutant condition for the roof component according to the following process:
simulating the operation of the train by using the calculated average concentration of each pollutant on the roof of the train during an operating time from the time leaving a departure station to a current time and T0 correspondingly solved as experimental simulation conditions to obtain a pollution level G0 of the roof component under a different experimental simulation condition; and
training the calculation model of pollutant condition for the roof component by using the calculated 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 and the T0 correspondingly solved 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 process:
simulating the operation of the train by using the calculated 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 and T1 correspondingly solved as experimental simulation conditions to obtain a pollution level G1 of the underbody component under the different experimental simulation condition; and
training the calculation model of pollutant condition for the underbody component by using the calculated 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 and the T1 correspondingly solved as an input and using G1 as an output to obtain a trained calculation model of pollutant condition for the underbody component;

the process of calculating pollution levels comprises:
acquiring, after the train stops, roof air quality detection data and underbody air quality detection data;
by using the roof air quality detection data, 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;
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;
sending the roof component pollution level and the underbody component pollution level to a platform data center;
the platform data center configured to receive the roof component pollution level and the underbody component pollution level sent by the data processing module, and send protection instructions to a platform execution module according to the received roof component pollution level and underbody component pollution level; and
the platform execution module configured to perform the corresponding cleaning on the roof component and/or the underbody component according to the protection instructions sent by the platform data center.