Air conditioner reliability influence factor-based regional clustering method

A technology of influencing factors and clustering methods, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of lack of regional clustering research and achieve the effect of classification science

Inactive Publication Date: 2017-04-19
NANCHANG HANGKONG UNIVERSITY
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Judging from the current research status, the research on the regional differences of air-conditioning reliability influencing factors is

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
  • Air conditioner reliability influence factor-based regional clustering method
  • Air conditioner reliability influence factor-based regional clustering method
  • Air conditioner reliability influence factor-based regional clustering method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0132] In order to verify the effect of the invention, the above-mentioned regional clustering comprehensive evaluation model based on factors affecting air-conditioning reliability and the specific process of regional clustering analysis were applied to the regional clustering analysis of 31 provincial-level administrative divisions in mainland China. Figure 1~2 .

[0133] According to the method of dividing regions in the China Regional Economic Statistical Yearbook, 31 provincial-level administrative divisions in mainland China are used as the samples to be analyzed. As the statistical data released by the National Bureau of Statistics on the average number of air conditioners per 100 households in urban and rural households, as well as the per capita disposable income of urban residents and the per capita income of rural residents ended in 2012, the meteorological data released by the China Meteorological Science Data Sharing Service Network As of 2013, the span of the sa...

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 an air conditioner reliability influence factor-based regional clustering method. The method includes the following steps that: a system analyzes the regional differences of working environment factors and user use habit factors that influence the reliability of air conditioners and extracts working environment reliability key influence factors and user use habit reliability key influence factors; an air conditioner reliability influence factor-based regional clustering analysis comprehensive evaluation model is constructed; judgment criterion of air conditioner startup refrigeration and heating are formulated, the average consumption tendency indexes of the air conditioners are accurately quantified; and a weighted Ward clustering algorithm is adopted to carry out clustering analysis in the aspects of the working environment influence factors and the user use habit factor influence factors, so that an working environment influence factor clustering analysis result and a user use habit factor influence factor clustering analysis result are obtained, a secondary clustering method is adopted to integrate the working environment influence factor clustering analysis result and the user use habit factor influence factor clustering analysis result, so that final regional distribution can be obtained. With the air conditioner reliability influence factor-based regional clustering method of the invention adopted, the use reliability difference of air conditioners distributed in different areas can be minimum, and more scientific and more precise regional classification results can be obtained.

Description

technical field [0001] The present invention relates to a regional clustering method, in particular to a regional clustering method based on air conditioner reliability influencing factors. Background technique [0002] In the increasingly competitive air-conditioning market, reliability has become a core indicator to measure the quality attributes of air-conditioning and an important factor for enterprises to obtain product competitive advantages. In recent years, the research on air-conditioning reliability has been paid more and more attention by the theoretical and industrial circles. These researches mainly focus on the failure analysis of air-conditioning components and systems, system reliability assessment and reliability influencing factors. Due to the differences in natural environment conditions, economic conditions and living habits in different geographical regions, the working conditions and use times of air conditioners are inconsistent, resulting in large dif...

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
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06F18/23
Inventor 揭丽琳刘卫东聂文滨
Owner NANCHANG HANGKONG UNIVERSITY
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