Prediction Model Of Vertical Temperature Distribution In Tall Building Space

In today's increasingly mature digital control and artificial intelligence,industrial production and industrial control increasingly rely on automated unattended systems.Although the current air-conditioning automatic control system has a complete system,if the air-conditioning automatic control system controls the indoor environment,the indoor environmental state sampling point cannot be accurately determined,or the most responsive indoor state parameters cannot be obtained at a reasonable point.The samples,no matter how precise and intelligent the algorithm,it is difficult to make reasonable and scientific adjustments to the indoor environment.In this way,the automatic adjustment of the air conditioner is upside down.Current public buildings,especially large-space public buildings,such as high-speed rail stations,theaters,airports,and other building air-conditioning systems,do not have a versatile and highly accurate data collection sensor arrangement for indoor environment detection and feedback adjustment Reference guide.The purpose of this paper is to provide a simple mathematical model for predicting vertical temperature changes in the space,so as to provide a basic theoretical basis for determining the location of the measuring point that can represent the control area in the height direction,and to solve the intelligent environmental control in a large space.Field tests were carried out on the indoor temperature environment in the large waiting spaces of the two stations of Xi'an Afanggong High Speed Railway Station and Baoji South High Speed Railway Station.Xi'an Afanggong High-speed Railway Station used a helium balloon suspension temperature module to monitor the indoor temperature for 24 hours;Baoji South High-speed Railway Station used a twine to tie the temperature module to the suspension test because of its double-layer overhead design Method,supplemented by a handheld TSI instrument for temperature testing.The environmental characteristics and ventilation methods of the two stations are different.By measuring the large space temperature parameters of two different air conditioning types,the vertical temperature distribution of the large space under two different air conditioning modes is obtained,which provides data for verifying the temperature model.ing the heat source into the form of uniformly distributed heat source,using the dimensionless parameter,the indoor temperature distribution is summarized into several basic models,and the mathematical expression of the vertical temperature curve of the non-uniform heat source distribution is obtained.The measured and non-dimensional temperature distributions in the literature are compared.The temperature curve distribution model of the uniformly distributed heat source and non-uniform heat source(vertical direction)and its corresponding heat source distribution expression are obtained.The heat sources in the project are complex and diverse.By using a piecewise function to describe the temperature distribution and expanding the form of the temperature curve distribution,the piecewise function model and the measured data are calculated and verified.It shows that the piecewise function can better meet the prediction needs of temperature gradient distribution in engineering applications.Using CFD numerical simulation,the thermal environment of several types of different air supply methods(different air outlets from the bottom to the top)is analyzed.It shows that the temperature prediction model meets the higher accuracy under the conditions of the same side air supply of the upper supply and lower return and the different side air supply of the upper supply and lower return.The impact of the air column caused by the air collision;under the dominant flow of buoyancy,the Archimedes number needs to be analyzed.