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Research And Application Of Radiation Error Correction Algorithm For Naturally Ventilated Radiation Shield

Posted on:2020-12-24Degree:MasterType:Thesis
Country:ChinaCandidate:W PuFull Text:PDF
GTID:2370330623957528Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Temperature sensors equipped with naturally ventilated radiation shield are widely used in ground weather stations,and the data measured by them are the important basis for meteorological forecast and analysis.Due to the different structures of different types of radiation shield and the different coating materials on the outside of radiation shield,there are differences in the ability of reflecting solar radiation and the internal ventilation volume,which lead to differences in temperature measurement errors.Generally speaking,the temperature sensor of naturally ventilated radiation shield can produce a radiation error of 2.5? or higher.It has been reported that the rising rate of ground temperature is approximately 0.1?/10 a.In order to provide more accurate observation data to study the climate change,it is necessary to seek more accurate correction methods for radiation error of different types of naturally ventilated radiation shield.In this paper,a computational fluid dynamics(CFD)method is proposed to analyze the radiation errors.By numerical analysis of various types of naturally ventilated radiation shields,the temperature distribution of radiation shield is obtained.According to the simulation results of computational fluid dynamics,the radiation errors of different types of naturally ventilated radiation shields under different surface reflectivity,wind speed,and solar radiation intensity are obtained.In this paper,an improved BP neural network algorithm is proposed to fit the discrete radiation errors,and a corresponding correction formulas for different types of naturally ventilated radiation shield radiation errors are obtained.Compared with the prediction results of standard BP neural network algorithm,the results show that the BP neural network optimization algorithm width dynamic adaptive learning rate produces a higher accuracy and the absolute error reaches [-0.002,0.002]k,which provides an algorithm basis for the query and correction function of radiation errors at the Web platform.By using WebStorm and IDEA as development tools,this paper designs and develops a radiation error correction query software based on Web technology using HTML5,CSS3,JavaScript and Java.The software integrates error correction formulas of various types of radiation shield,and realizes data query of radiation error correction of multiple types of radiation shields.The fitting formula input module is added to realize the fitting formula of radiation error of various types of radiation shields,which can be shared in real time.The historical query data storage is realized by using MySQL data storage.Echarts is used to realize the correction curve display of different types of radiation shields.The China Weather Network is accessed by using an API to achieve weather data.This software is convenient for researchers to query and analyze the radiation error of different types of radiation shields.
Keywords/Search Tags:radiation error, computational fluid dynamics, BP neural network, Web Technology
PDF Full Text Request
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