Urban open space outdoor human body thermal comfort prediction method based on thermal image analysis

Abstract

The invention relates to an urban open space outdoor human body thermal comfort prediction method based on thermal image analysis. The invention relates to the urban design and building environment technical field. The method comprises the following steps: carrying out gridding processing on an urban open space to obtain a plurality of regions; collecting subjective human body thermal sensation evaluation data; based on the collected thermal image of the urban open space, extracting the surface temperature of the urban open space in the thermal image; and establishing a mapping relation between the urban open space thermal image and the human body thermal comfort by adopting a convolutional neural network, and predicting the human body thermal comfort. According to the method, the problem of human resource and economic resource consumption caused by arrangement of a plurality of stations in a traditional outdoor space thermal comfort prediction method is solved, and the urban open space surface temperature is directly associated with the air temperature and the human body thermal feeling by using a machine learning algorithm; and a complicated data processing process in the traditional outdoor space thermal comfort prediction evaluation process is reduced, and a prediction error is further decreased.

Description

technical field [0001] The invention relates to the technical field of urban design and building environment, and relates to a method for predicting outdoor human body thermal comfort in urban open spaces based on thermal image analysis. Background technique [0002] With the acceleration of urbanization in my country, the urban heat island effect is becoming increasingly strong. In the design of urban open space, it is urgent to accurately predict the outdoor human thermal comfort level in different urban open spaces, so as to support the decision-making process of urban open space design, improve the environmental quality of outdoor space, and promote the sustainable development of human settlements in my country. [0003] Thermal comfort refers to the "conscious state of being satisfied with the thermal environment", which is a subjective and dynamic evaluation based on human beings. Among the four factors that affect the evaluation of human thermal comfort, the urban sp...

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Problems solved by technology

[0005] The invention aims to solve the problem of incomplete collection of thermal environment data in the existing method and the influence of the average value method on the thermal comfort prediction accuracy, improve the thermal comfort prediction accuracy of urban open spaces, and solve the problem that the existing method is difficult to feed back the outdoor thermal comfort evaluation results to Problems with thermal environment conditioning equipment such as shading and evaporation, and expand the application field of human thermal comfort prediction models in outdoor spaces

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