Measuring method of solar temperature probability density

Abstract

The invention discloses a measuring method of solar temperature probability density. The method includes the following steps: (10) collecting solar temperature samples, connecting a temperature sensor with the inside of a temperature collecting system, and collecting solar temperatures of measurement points by means of the temperature sensor to form the solar temperature samples, (20) determining corresponding accumulative probability value of the temperature in each solar temperature sample, analyzing accumulative distribution characteristics of the solar temperature samples, and determining the corresponding accumulative probability value of the temperature in each solar temperature sample, (30) fitting the accumulative distribution characteristics of the solar temperature samples, and (40) measuring the probability density of the solar temperature samples. The measuring method can measure the probability density of solar temperatures accurately.

Description

technical field [0001] The invention relates to a method for measuring sunshine temperature parameters, in particular to a method for measuring sunshine temperature probability density. Background technique [0002] As one of the important climatic and environmental factors, sunshine temperature is involved in the research of important fields such as agricultural science, biological science, environmental science, and building science in my country, and the probability and statistical characteristics of the collected samples are in Probability density descriptions are commonly used in various disciplines [1-5] For example, Ma Zhifu et al. took the average temperature of a weather station in the Tarim Basin in January as a random variable, and assumed that the probability and statistical properties of this random variable conform to a normal distribution function, and established a winter temperature probability model in the Tarim Basin, and based on this The design values ​​...

AI Technical Summary

Problems solved by technology

[0003] At present, there are several methods for the determination of the probability density parameters of the sunshine temperature collection samples in various disciplines: (1) Hypothesis testing and parameter analysis method: this method needs to assume in advance that the probability density of the collection samples obeys a certain distribution, and through the sample Determine the distribution parameters, and finally use the inspection method to verify the distribution parameters. This method requires a certain empirical basis and is less feasible; (2) Probability density histogram method: This method first establishes the probability density histogram of the collected samples, and the histogram The graph is used for curve fitting, and finally the distribution parameters closest to the fitting curve are determined by means of the inspection method. Due to different temperature interval divisions, different shapes of probability density histograms will result in this method, so that the distribution parameters are not unique and accurate; ( 3) Probability and statistics toolbox method: This method directly imports the collected samples into the probability and statistics toolbox, uses the distribution function in the toolbox to analyze the collected samples one by one, and finds the best distribution parameters. The limitation of the distribution function in the box, the applicability is not strong

Images