Respiratory tract infections(RTIs)pose a significant threat to human health.Inpatient wards face greater risks of RTIs than restricted or public areas in healthcare facilities.While mechanical or hybrid ventilation sy...Respiratory tract infections(RTIs)pose a significant threat to human health.Inpatient wards face greater risks of RTIs than restricted or public areas in healthcare facilities.While mechanical or hybrid ventilation systems meet the stringent infection prevention and control(IPC)standards required for inpatient wards,natural ventilation remains the preferred option in low-and middle-income countries(LMICs)due to resource limitations.This paper employed reinforcement learning(RL)to actively control the opening and closing behavior of sliding windows in inpatient wards using a single-sided,single-opening natural ventilation strategy.Simulations were conducted in Guangzhou and Kunming,two Chinese cities with climates suitable for natural ventilation,to compare four window operation strategies:RL-based operation,always open windows,always closed windows,and random operation.Monthly simulations and annual simulations revealed that the RL-based window operation strategy effectively regulates comfort and IPC metrics.This approach enhances natural ventilation’s potential,reducing technical complexity,capital costs,and energy consumption.It is thus an ideal solution for hospital wards in LMICs during design or renovation phases.展开更多
Used genetic algorithm (GA) to optimize the network of ventilation in order toavoid artificial convergence and speed up the convergence rate to introduce the Powellalgorithm. The Powell algorithm had been integrated i...Used genetic algorithm (GA) to optimize the network of ventilation in order toavoid artificial convergence and speed up the convergence rate to introduce the Powellalgorithm. The Powell algorithm had been integrated into GA. Powell had the effectivecapacity of solving the local optimal solution. Powell and the cross as a method ofchoice, a variation of the parallel operator, can be a better solution to the prematureconvergence of the GA problem. The two methods will be improved to make it an effective combination of hybrid GA called hybrid genetic algorithm (HGA) for the introductionof mine ventilation network optimization and to be used to solve the problem of regulating mine optimization.展开更多
基金The National Natural Science Foundation of China(General Program)(52378027)supported the study design,data collection,and analysis.
文摘Respiratory tract infections(RTIs)pose a significant threat to human health.Inpatient wards face greater risks of RTIs than restricted or public areas in healthcare facilities.While mechanical or hybrid ventilation systems meet the stringent infection prevention and control(IPC)standards required for inpatient wards,natural ventilation remains the preferred option in low-and middle-income countries(LMICs)due to resource limitations.This paper employed reinforcement learning(RL)to actively control the opening and closing behavior of sliding windows in inpatient wards using a single-sided,single-opening natural ventilation strategy.Simulations were conducted in Guangzhou and Kunming,two Chinese cities with climates suitable for natural ventilation,to compare four window operation strategies:RL-based operation,always open windows,always closed windows,and random operation.Monthly simulations and annual simulations revealed that the RL-based window operation strategy effectively regulates comfort and IPC metrics.This approach enhances natural ventilation’s potential,reducing technical complexity,capital costs,and energy consumption.It is thus an ideal solution for hospital wards in LMICs during design or renovation phases.
基金Supported by the National Natural Science Foundation of China(60772159)
文摘Used genetic algorithm (GA) to optimize the network of ventilation in order toavoid artificial convergence and speed up the convergence rate to introduce the Powellalgorithm. The Powell algorithm had been integrated into GA. Powell had the effectivecapacity of solving the local optimal solution. Powell and the cross as a method ofchoice, a variation of the parallel operator, can be a better solution to the prematureconvergence of the GA problem. The two methods will be improved to make it an effective combination of hybrid GA called hybrid genetic algorithm (HGA) for the introductionof mine ventilation network optimization and to be used to solve the problem of regulating mine optimization.
