The operative temperature is mixed by weighted mixing through radiation temperature and air temperature.At the design stage of the actual project,the radiation temperature is difficult to solve by hand calculation or measure directly.However,directly using the air temperature instead of the operative temperature will lead to deviations in the evaluation of human indoor thermal comfort.Through computer simulation and parameterization performance optimization technology,the dynamic radiation temperature calculation based on meteorological data changes is achieved,then used for the calculation and evaluation of indoor thermal comfort satisfaction rates in different time periods.In terms of perforimance optimization design,one by one enumeration can be used for optimization of single variable,and the genetic algorithm can be used for optimization of multiple variables.In addition,the optimization of genetic algorithm in the case of multiple parameters has also been verified to be feasible in engineering applications.The genetic algorithm is based on the optimal solution settings and continuous cross-mutation calculation,and multiple optimization solutions can be obtained.It can not only meet the performance design requirements,but also provide designers with more solution choices.
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