Intelligent air-conditioning temperature control method based on decision tree classification algorithm

Abstract

The invention relates to the air conditioning field and discloses an air conditioning intelligent temperature control method based on a decision tree classification algorithm, which is used for improving the automatic control ability of the air conditioning, improving the user experience and reducing the discomfort caused by overblowing the air conditioning. A large amount of data need to be collected in advance to generate a training set, and the threshold value of suitable condition is obtained by health system, and then a decision tree is built and refined by using the training set, Establishing Decision Tree Model, and then utilizing the generated decision tree to obtain the attribute values of the environmental data from the root node sequentially from the information acquisition device in the system work, Until reaching a leaf node, to find the record of the class, and then through the classification decision tree to judge the data, and under various environmental conditions to achieve the results of the optimal processing and make the final control operation. The invention is suitable for intelligent temperature control of air conditioning.

Description

technical field [0001] The invention relates to the field of air conditioners, in particular to an intelligent temperature control method for air conditioners based on a decision tree classification algorithm. Background technique [0002] With the popularization of smart devices, household appliances have basically realized intelligence, serving people's lives more conveniently and quickly. However, the existing air conditioners often cannot be properly regulated when the surrounding environment changes after manual operation, so that the current environment is under the most suitable conditions, which has caused air conditioner diseases and unnecessary energy waste. [0003] Classification decision tree, also known as decision tree, is a tree structure used in classification. Each internal node (internal node) represents a test for a certain attribute, each edge represents a test result, and a leaf node (leaf) represents a certain class (class) or class distribution (clas...

AI Technical Summary

Problems solved by technology

However, the existing air conditioners often cannot be moderately adjusted when the surrounding environment changes after manual operation, so that the current environment is under the most suitable conditions, which has caused air conditioner diseases and unnecessary energy waste.

Images