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Clustering method of wind velocity usage habit of air-conditioner user

A clustering method and user's technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of simple calculation method, convenient development and design, and easy implementation

Active Publication Date: 2016-02-24
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that there is no system or method for statistical analysis of users' wind speed usage habits at present, and to provide a clustering method for air conditioner users' wind speed usage habits

Method used

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  • Clustering method of wind velocity usage habit of air-conditioner user
  • Clustering method of wind velocity usage habit of air-conditioner user
  • Clustering method of wind velocity usage habit of air-conditioner user

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Embodiment

[0039] The clustering method of air-conditioning user's wind speed usage habit of the embodiment of the present invention, it comprises the following steps:

[0040] Step 1. Define multiple cluster centers based on the user's choice of wind speed.

[0041] In this step, this example takes the user's choice of wind speed including automatic wind speed, gentle wind speed, low wind speed, medium wind speed, high wind speed and strong wind speed as an example, then defining multiple cluster centers means: define (1,0 ,0,0,0,0) indicates that a user prefers to use automatic wind speed, (0,1,0,0,0,0) indicates that a user prefers to use breeze, (0,0,1,0,0,0) Indicates that a user prefers to use low wind, (0,0,0,1,0,0) indicates that a user prefers to use medium wind, (0,0,0,0,1,0) indicates that a user prefers to use high wind, ( 0,0,0,0,0,1) means that a user prefers to use strong wind, (1 / 6,1 / 6,1 / 6,1 / 6,1 / 6,1 / 6) means that a user prefers to use random Each function, and these sev...

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Abstract

The invention relates to the air-conditioning technology. The problem that a system or method for statically analyzing a wind velocity usage habit of a user is inexistent at present is solved, the invention provides a clustering method of the wind velocity usage habit of the air-conditioner user. The technical scheme can be generalized as follows: firstly defining a plurality of clustering centers according to the selection of the user to the wind velocity; acquiring behavior data of the air-conditioner user through a database, and then acquiring the behavior data of each air-conditioner user from the database through the system, computing the usage rate of each wind velocity by the user, and computing the distance between the usage rate of each wind velocity by the user to each clustering center, comparing the distances, selecting the corresponding clustering as the classification of the user according to a distance rule, finally counting the user number of each kind through the system after the clustering, and outputting the usage preference of the user to the wind velocity on the whole. The method disclosed by the invention has the beneficial effects that the method is convenient for the developing and designing of the air-conditioner, and is suitable for the air-conditioning system.

Description

technical field [0001] The invention relates to air-conditioning technology, in particular to statistical clustering technology for air-conditioning use. Background technique [0002] With the continuous advancement of air-conditioning technology, air-conditioning is becoming more and more intelligent, and people's improvement of air-conditioning is based on the user's experience, with the purpose of allowing users to obtain the best experience, which requires air-conditioning designers It is necessary to understand the user's usage habits very well, and improve the air conditioner according to the user's preferences. Wind speed is a function that users must use every time they use the air conditioner. Therefore, it is very necessary to study the user's preference for wind speed. However, there is currently no system or method for statistical analysis of users' wind speed usage habits. Existing air conditioners generally have network functions and can upload their data. ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 刘胜涛刘胜刚唐军蒲文龙
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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