Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fuzzy logic method meteorological particle identification method based on mixed-programming technology

A technology of fuzzy logic and particle recognition, which is applied in character and pattern recognition, climate sustainability, radio wave reflection/reradiation, etc. It can solve the problems of large-scale decision trees, large uncertainties, and long rule lengths. Achieve the effect of improving calculation speed, improving efficiency and reducing duplication of work

Inactive Publication Date: 2019-08-06
NANJING UNIV OF INFORMATION SCI & TECH
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

They are: (1) neural network algorithm; (2) decision tree algorithm; (3) statistical decision algorithm and (4) fuzzy logic algorithm. , high precision, the generated patterns are simple and easy to understand, and easy to convert into classification rules, etc., but because of the greedy algorithm used in the construction of the decision tree, the disadvantages of the decision tree being too large and the length of the rules generated are too long.
The statistical decision-making method can not only reveal the structure of the problem intuitively in the form of graph theory, but also rearrange the structure of the problem according to the principles of probability theory, and decompose the complex joint probability distribution problem into a series of relatively simple modules, which greatly reduces the problem solving time. Difficulty and complexity, but too much uncertainty is its obvious shortcoming

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fuzzy logic method meteorological particle identification method based on mixed-programming technology
  • Fuzzy logic method meteorological particle identification method based on mixed-programming technology
  • Fuzzy logic method meteorological particle identification method based on mixed-programming technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] This embodiment adopts a fuzzy logic method meteorological particle identification method based on mixing technology provided by the present invention, such as figure 1 shown, including the following steps:

[0038] Step 1: Fuzzification, read the reflectivity factor, Doppler velocity, spectral width data in the millimeter-wave radar data, and temperature data in the radiosonde data through Matlab, and then use the read data as four input parameters, and respectively The membership function is established, and the input parameters are transformed into fuzzy bases; the millimeter-wave radar detection data are nc data files; radiosonde detection data are dat data files. Among them, the membership function is as follows:

[0039]

[0040] Step 2: Rule derivation, after the establishment of the membership function and the fuzzification of the four input parameters, the snow, ice, mixed phase, liquid water, drizzle, and rain corresponding to the input parameters of each ...

Embodiment 2

[0047] Present embodiment adopts a kind of fuzzy logic method meteorological particle recognition method based on mixing technology provided by the present invention, comprises the following steps:

[0048] 1) Write the relevant M file of fuzzy logic algorithm in Matlab, read in radar data, carry out data recognition, take output image as recognition result, and this .M file is packaged into a JAR package, i.e. a .JAR file;

[0049]2) Create a Java project, edit a main window class MainFrame, set the properties of the form itself in the construction method of the form class, and initialize related components inside the window, such as labels (JLabel), text boxes (JTextField), buttons (JButton), etc., create a sub-window for displaying the meteorological particle recognition effect map;

[0050] 3) Build the JAR package obtained by Matlab and the JavaBuilderAPI provided by the official website into the project compilation environment and copy it to the lib directory in the proj...

Embodiment 3

[0085] This embodiment adopts a fuzzy logic method meteorological particle identification method based on mixing technology provided by the present invention to identify meteorological particles, including the following steps:

[0086] Step 1. The relevant variables in the millimeter-wave radar data file are stored in the form of an array, and the relevant variables of the millimeter-wave radar are read through Matlab, which are "time (time)", "rang (height)", "Zh (reflectivity factor)", "v (Doppler velocity)", "width (spectral width)"; read the temperature data of the radiosonde. Among them, millimeter-wave radar "Zh (reflectivity factor)", "v (Doppler velocity)", "width (spectral width)" and radiosonde temperature "T (temperature)" are the four inputs of the fuzzy logic algorithm Parameters; "time (time)" and "rang (height)" are used to establish a coordinate system and output a recognition image. Matlab has a built-in function for reading radar data nc files and sounding t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a fuzzy logic method meteorological particle identification method based on a mixed-programming technology. The fuzzy logic method meteorological particle identification methodcomprises the steps of: (1) fuzzification; (2) rule derivation; (3) integration; (4) and dealiasing. The identification method disclosed by the invention utilizes a parameter matrix detected by utilizing a radar and the obtained air sounding data, finally obtains a matrix of particle phase states through inversion by adopting a transformation rule described by means of a membership function. Theidentification method is simple in process and easy to understand, adopts the Matlab and Java mixed-programming technology to improve identification efficiency, and provides users with better using experience by means of a friendly interactive interface.

Description

[0001] Technical field: [0002] The present invention relates to weather radar field, relate in particular to a kind of meteorological particle identification method based on Java and Matlab mixing technology. [0003] Background technique: [0004] The phase evolution of hydrometeors in clouds has a great influence in the fields of artificial weather modification, weather phenomenon forecasting, aircraft icing aviation safety, etc., but the lack of detection methods and insufficient data inversion accuracy are the main constraints to the development of related research. reason. The cloud detection methods at home and abroad mainly include laser radar, microwave radiometer, cloud power measuring instrument and radio sounding, etc., through which the macro and micro physical parameter information in the cloud can be obtained effectively. The detection echo intensity of weather radar for cloud particles, especially cirrus ice crystal particles, is weak, and it is impossible to ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/95G06K9/62
CPCG01S13/95G06F18/24Y02A90/10
Inventor 王金虎金子琪王美民范盼陈露梁艺潇郜海阳陆春松楚志刚王震任予舒徐园园
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com