Method for predicting temperature extreme value in greenhouse

A prediction method, a technology in the greenhouse, applied in the agricultural field, can solve the problem of insufficient temperature extreme value accuracy

Active Publication Date: 2014-08-13
CHINA AGRI UNIV +1
View PDF9 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is the problem that the accuracy of the existing method for predicting the temperature extremum in the greenhouse is not enough

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
  • Method for predicting temperature extreme value in greenhouse
  • Method for predicting temperature extreme value in greenhouse
  • Method for predicting temperature extreme value in greenhouse

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the present invention. Invented some embodiments, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0056] The embodiment of the present invention provides a method for predicting extreme values ​​of temperature in a greenhouse, such as figure 1 As shown, the method includes:

[0057] S1. Collect environmental data of the greenhouse within a predetermined time period;

[0058] S2. Normalize the obtained environmental data to obtain a sample set...

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 method for predicting a temperature extreme value in a greenhouse. The method comprises: S1, acquiring environment data within a preset time period; S2, performing nominalization processing on the obtained environment data, and obtaining a sample set; S3, randomly generating N width coefficients sigma<2> and N punishment coefficients lambda of a radial basis function of a least square support vector machine regression model LS_SVM by use of a uniform distribution algorithm; S4, selecting a training sample set from the sample set and training the LS_SVM; S5, initializing the particle swarm of a particle swarm optimization (PSO) algorithm to be a two-dimensional coordinate point composed of the sigma<2> and the lambda; S6, optimizing the sigma<2> and the lambda by use of the PSO; S7, selecting a test sample set from the sample set, testing the LS_SVM of an optimization parameter, and obtaining an optimization LS_SVM; and S8, acquiring the environment data of the greenhouse in real time on line, inputting the data to the optimization LS_SVM, and obtaining the prediction value of the temperature extreme value in the greenhouse.

Description

Technical field [0001] The invention relates to the field of agricultural technology, in particular to a method for predicting extreme values ​​of temperature in a greenhouse. Background technique [0002] Temperature is one of the main factors to be regulated in the greenhouse, and also one of the main factors for the normal growth of crops in the greenhouse. If the temperature in the greenhouse is too low or too high, it will cause serious harm to plants. Therefore, we can quickly and accurately predict the extreme value of the temperature in the greenhouse, and take preventive measures before the temperature in the greenhouse reaches the extreme value to reduce the harm caused by low or high temperature to the crops , Plays a very important role in increasing the yield of greenhouse crops. [0003] The current prediction methods of temperature extremes in the greenhouse are time series analysis, mathematical statistics, neural network or greenhouse environment simulation model ...

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): G06N3/00
Inventor 陈英义于辉辉李道亮郭承坤阮怀军封文杰
Owner CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap