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Method for predicting human comfort

A prediction method and comfort level technology, applied in the field of environmental meteorological services, can solve the problems of large regional meteorological differences and the lack of regional universality of human comfort level models, and achieve the effect of improving prediction accuracy.

Inactive Publication Date: 2011-06-29
CHINA DIGITAL VIDEO BEIJING
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Problems solved by technology

However, China has a vast territory and large regional meteorological differences. The human comfort model applicable to Beijing must have deviations when it is applied to Shanghai; therefore, the human comfort model obtained by the above method does not have regional universality
[0008] In short, a technical problem that needs to be urgently solved by those skilled in the art is: how to solve the problem that the human comfort model obtained by the existing prediction methods does not have regional universality

Method used

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[0047] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048]Traditional mathematical modeling methods, including mechanism modeling, multivariate statistical methods, Kalman filter methods, model-based regression methods, etc., these methods can describe some simple linear systems, but for some complex linear systems and nonlinear systems Difficult to describe precisely. The prediction of human comfort from meteorological factors such as air temperature, air pressure, relative humidity, and wind speed is a typical nonlinear problem.

[0049] In view of the above problems, the inventor of this patent creatively proposed one of the core ideas of the embodiment of the present invention, that is, to use the characteristics of neural network to complete nonlinear modeling without knowing ...

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Abstract

The invention provides a method for predicting human comfort, which comprises the following steps of: establishing: aiming at a certain region, establishing a back propagation (BP) neural network predicting model, wherein multiple meteorological factors are used as the input variables of the predicting model, and the human comfort is used as the output variable of the predicting model; training: training the predicting model in the region; and predicting: predicting the human comfort of a date to be predicted in a region to be predicted by using the trained predicting model. The method is used for improving the predicted region universality.

Description

technical field [0001] The invention relates to the technical field of environmental meteorological services, in particular to a method for predicting human comfort. Background technique [0002] With the development of the national economy, meteorological departments have successively carried out environmental meteorological services in large and medium-sized cities, including air pollution, atmospheric cleanliness, ultraviolet intensity, human comfort, medical and health meteorology, and pollen concentration. These environmental meteorological services that are close to the life of urban residents have promoted the improvement of the quality of life. [0003] Human comfort is based on the principle of heat exchange between the human body and the near-earth atmosphere, and is a biometeorological index that evaluates human comfort under different climatic conditions from a meteorological perspective. Human comfort has an important basic position in urban environmental meteo...

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Application Information

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IPC IPC(8): G06N3/06
Inventor 李丹
Owner CHINA DIGITAL VIDEO BEIJING
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