Health protection system for passengers on a train in a polluted indoor environment and method thereof

Patent metadata

Field	Value
Publication number	US-11938784-B2
Application number	US-202017291995-A
Country	US
Kind code	B2
Filing date	Jul 13, 2020
Priority date	Jul 25, 2019
Publication date	Mar 26, 2024
Grant date	Mar 26, 2024

Abstract

A health protection system and a method for passengers on a train in a polluted indoor environment are provided. The health protection system includes a basic data acquisition module, an outdoor air quality prediction module, an indoor air quality prediction module, and a ventilation strategy generation module, wherein the basic data acquisition module acquires basic data; the outdoor air quality prediction module predicts outdoor air quality of the train; the indoor air quality prediction module predicts indoor air quality of the train; and the ventilation strategy generation module generates a ventilation strategy and achieves health protection of the passengers on the train. The method includes: predicting indoor and outdoor air quality data information of the train according to the acquired indoor and outdoor air quality data of the train; and generating a corresponding ventilation strategy according to the indoor and outdoor air quality data of the train.

First claim

What is claimed is:

1. A health protection method for passengers on a train in a polluted indoor environment, which is implemented by a health protection system for the passengers on the train in the polluted indoor environment, wherein the health protection system comprises: a basic data acquisition circuit, an outdoor air quality prediction circuit, an indoor air quality prediction circuit and a ventilation strategy generation circuit; wherein an output end of the basic data acquisition circuit is connected with an input end of the outdoor air quality prediction circuit and an input end of the indoor air quality prediction circuit simultaneously; an output end of the outdoor air quality prediction circuit and an output end of the indoor air quality prediction circuit are both connected with the ventilation strategy generation circuit; the basic data acquisition circuit is configured to acquire air quality data and position information of an air quality monitoring station and indoor and outdoor pollutant data information of the train; the outdoor air quality prediction circuit is configured to predict outdoor air quality data of the train; the indoor air quality prediction circuit is configured to predict indoor air quality data of the train; and the ventilation strategy generation circuit is configured to generate a ventilation strategy according to indoor and outdoor air quality prediction data of the train, thereby achieving health protection of the passengers on the train; wherein, the health protection method comprises the following steps:
S 1 . acquire data information of each air quality monitoring station and corresponding air quality monitoring data;
S 2 . acquire pollutant data information and position information of the train;
S 3 . predict an air quality of an area where the train is located according to the position information of the train, the data information of the each air quality monitoring station and the corresponding air quality monitoring data; specifically, it is to predict the air quality in the following steps:
A. calculate a historical distance between the train and the each air quality monitoring station according to the position information of the train at t historical moments and position information of the each air quality monitoring station;
B. calculate a predicted position of the train after future T minutes by using the following equation:
LOC T C =[LOT C +T×v×{right arrow over (r)} LOT ,LAT C +T×v×{right arrow over (r)} LAT ]

wherein, LOC T C is the predicted position of the train after the future T minutes, LOT C is longitude information of a current position of the train, v is an average speed per minute of the train in past minutes, {right arrow over (r)} LOT is longitude component data of a directed path of a remaining running route of the train, LAT C is latitude information of the current position of the train, and {right arrow over (r)} LAT is latitude component data of the directed path of the remaining running route of the train;
C. calculate a predicted distance between the train and the each air quality monitoring station after the T minutes;
D. calculate a real-time distance between the train and the each air quality monitoring station, select a plurality of air quality monitoring stations with a least real-time distance as a minimum space unit of an area passed by the train, and record air quality monitoring data corresponding to the plurality of selected air quality monitoring stations;
E. record historical distances between the plurality of selected air quality monitoring stations in the step D and the train, and establish a pollutant diffusion model in the minimum space unit; specifically, it is to use a weighted regularization extreme learning machine as the pollutant diffusion model in the minimum space unit; an input of the model is a distance between the train at each historical moment and the each air quality monitoring station, and the air quality monitoring data corresponding to the each air quality monitoring station; and an output of the model is pollutant data information of a position where the train is located at each historical moment; and
F. predict the air quality of the area where the train is located after the T minutes according to the pollutant diffusion model in the minimum space unit obtained in the step E and the predicted distance between the train and the each air quality monitoring station after the T minutes obtained in the step C;
S 4 . model an indoor and outdoor air quality of the train;
S 5 . predict, according to predicted results of the steps S 3 and S 4 , the indoor and outdoor air quality of the train at a future moment; and
S 6 . generate, according to a predicted result of the step S 5 , a ventilation strategy of each carriage of the train.

2. The health protection method for passengers on a train in a polluted indoor environment according to claim 1 , wherein the step of acquiring the data information of the each air quality monitoring station and the corresponding air quality monitoring data in the step S 1 is, specifically, to acquire code information of the air quality monitoring station, longitude and latitude information of the air quality monitoring station, and concentrations of PM2.5, PM10, CO, NO 2 , SO 2 and O 3 and an AQI parameter value monitored by the air quality monitoring station.

3. The health protection method for passengers on a train in a polluted indoor environment according to claim 2 , wherein the step of acquiring the pollutant data information and the position information of the train in the step S 2 is, specifically, to acquire concentrations of PM2.5, PM10, CO, NO 2 , SO 2 and O 3 and a serial number of a carriage of the train, and concentrations of PM2.5, PM10, CO, NO 2 , SO 2 and O 3 outside each carriage of the train, longitude and latitude information of each carriage of the train, the average speed per minute of the train in past minutes, and the directed path of the remaining running route of the train.

4. The health protection method for passengers on a train in a polluted indoor environment according to claim 3 , wherein the step of modeling the indoor and outdoor air quality of the train in the step S 4 is, specifically, to model in the following steps:
a. continuously read indoor pollutant data information and outdoor pollutant data information of the train at a plurality of continuous moments;
b. divide the indoor pollutant data information and the outdoor pollutant data information acquired in the step a into a training set and a verification set;
c. analyze and calculate self-relevance of the indoor pollutant data information of the train; and
d. establish a deep learning model of a deterministic mapping relationship between indoor pollutant concentrations and outdoor pollutant concentrations of the train.

5. The health protection method for passengers on a train in a polluted indoor environment according to claim 4 , wherein the step of analyzing and calculating the self-relevance of the indoor pollutant data information of the train in the step c is, specifically, to analyze the self-relevance in the following steps:
(1) calculate, by using the following equation, mutual information between every two of all air pollutants inside the train:

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Assignees

• Univ Central South

Inventors

• Liu Hui
• Chen Chao
• Duan Zhu
• Li Yanfei

Classifications

• B60H1/0073 Primary

  Control systems or circuits characterised by particular algorithms or computational models, e.g. fuzzy logic or dynamic models · CPC title

• B60H1/008

  the input being air quality · CPC title

• B60H1/00828

  Ventilators, e.g. speed control (B60H1/00864 takes precedence) · CPC title

• B60H3/0085

  Smell or pollution preventing arrangements (B60H3/0007, B60H3/0071, B60H3/02, B60H3/06 take precedence) · CPC title

• B61D27/009 Primary

  Means for ventilating only (ventilation in general F24F) · CPC title