Intelligent air conditioner control system and method based on big data

A technology of intelligent air conditioning and control system, applied in heating and ventilation control system, control input involving air characteristics, space heating and ventilation control input, etc., to achieve the effect of simple implementation, ingenious design, and reducing the tedious effect of setting air conditioning

Inactive Publication Date: 2016-02-17
INSPUR GROUP CO LTD
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an intelligent air-conditioning control system and method based on big data aiming at the current needs and the deficiencies in the development of the prior art

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
  • Intelligent air conditioner control system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0017] An intelligent air-conditioning control system based on big data described in this embodiment mainly includes several temperature monitoring points, cloud servers, and indoor air conditioners. The temperature monitoring points are distributed in the city and are suitable for collecting outdoor temperature information. The temperature monitoring The point is connected to the cloud server through the network, and can upload the collected outdoor temperature data to the cloud server; Indoor temperature information; the cloud server can receive the temperature information data uploaded by the temperature monitoring point, and the indoor temperature information uploaded by the indoor air conditioner, the cloud server summarizes and analyzes these temperature information, and calculates the optimal set temperature of the indoor air conditioner wind speed.

[0018] In the intelligent air-conditioning control system described in this embodiment, the cloud server summarizes and ...

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 intelligent air conditioner control system and method based on big data and particularly relates to an application of big data and cloud computing to household appliance and home furnishing management. According to the intelligent air conditioner control system, a plurality of temperature monitoring points are distributed in a city, and then, collected temperature information is uploaded to a cloud server. The server analyzes the temperature data, then computes the set temperature of an indoor air conditioner by an algorithm, and gives the optimal temperature value. The current indoor temperature collected by the air conditioner is uploaded to the cloud server, the server computes the optimal air speed of the air conditioner according to the optimal temperature and the indoor temperature and uploads the collected data in real time, the cloud server also changes the optimal temperature and air speed at any moment through computing, and the indoor is always kept in the optimal environment.

Description

technical field [0001] The invention relates to the field of computer big data, in particular to utilizing big data and cloud computing to manage household appliances and household appliances, and in particular to an intelligent air-conditioning control system and method based on big data. Background technique [0002] Compared with traditional data warehouse applications, big data analysis has the characteristics of large data volume and complex query and analysis. The four "Vs" of big data, or in other words, have four levels of characteristics: first, (Volume) data volume is huge, jumping from TB level to PB level; second, (Variety) data types are various, such as network logs , video, pictures, geographic location information, etc.; third, (Velocity) has a fast processing speed, and the 1-second law can quickly obtain high-value information from various types of data, which is also different from traditional data mining technology. The essence is different; Fourth, Valu...

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): F24F11/00
CPCF24F2110/20F24F11/30F24F11/58F24F11/62F24F11/64F24F2110/10F24F2110/12
Inventor 刘永哲高新迪张得文
Owner INSPUR GROUP CO LTD
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