Meteorological decision support method and meteorological decision support device based on T-S model

Abstract

The invention discloses a meteorological decision support method and a meteorological decision support device based on a T-S model, and relates to the technical field of agrometeorological information. The method comprises the following steps of: acquiring meteorological parameter data, and generating a meteorological factor vector; executing fuzzification for the meteorological factor vector, and generating a meteorological factor fuzzy vector; determining a fuzzy decision rule based on a built T-S model, executing decision calculation for the meteorological factor fuzzy vector according to the fuzzy decision rule, and outputting a control quantity; and executing decision regression detection for the control quantity. The meteorological decision support method and the meteorological decision support device based the on T-S model, provided by the invention, are based on a fuzzy control algorithm of the T-S model, organically fuse agricultural experience data, improve analysis and processing capacity of agrometeorological data, can effectively solve problems, such as non-effective use of agrometeorological information and agricultural knowledge experience, and have very important significance for intelligent decision in wisdom agriculture production, avoiding influence of meteorological environment mutation and promoting crossed fusion of the information technology and the agricultural production management field.

Description

technical field [0001] The invention relates to the technical field of agricultural meteorological information, in particular to a T-S model-based meteorological decision support method and device. Background technique [0002] In the process of intelligent agricultural decision-making management, it is very important to adjust the production environment of crops in a timely manner based on the accurate perception of agricultural meteorological information, which is very important for improving crop yield and quality and reducing losses caused by weather effects. At the same time, with the development of agricultural industrialization, large-scale farming needs to achieve further intelligent and scientific management of agricultural production control, so as to reduce natural weather changes, especially regional and sudden changes in agriculture. The loss of crops caused by climate change. The fuzzy control algorithm is to quantify the control experience of human experts on...

AI Technical Summary

Problems solved by technology

Although information-based decision-making technology is constantly infiltrating the field of agricultural applications, there are always technical bottlenecks in the effective and scientific use of agricultural meteorological information.

①In agricultural information decision-making, in the information system, the effective analysis and utilization of collected meteorological information such as humidity, atmospheric pressure, wind speed, and rainfall information is relatively low; ②Currently, the decision support system based on agricultural environmental information has not been effectively used Fuzzy control algorithm; ③Agricultural experience and knowledge base have not been effectively utilized in common closed-loop control systems

Images