Air conditioning unit big data analysis method and air conditioning unit

An air-conditioning unit and analysis method technology, which is applied in the direction of electrical digital data processing, special data processing application, control input involving air characteristics, etc. It can solve the problem of high rate, and achieve the effect of reliable source, high accuracy and lower failure rate.

Inactive Publication Date: 2017-03-29
GREE ELECTRIC APPLIANCES INC
View PDF5 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the object of the present invention is to provide a large data analysis method for air-conditioning units and air-conditioning units, which can solve the following technical problems: inexperienced after-sales maintenance personnel, difficulty in troubleshooting; high failure rate of commercial air-conditioning units; display interface display Curing is not flexible

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 conditioning unit big data analysis method and air conditioning unit
  • Air conditioning unit big data analysis method and air conditioning unit
  • Air conditioning unit big data analysis method and air conditioning unit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention is described below based on examples, but the present invention is not limited to these examples.

[0030] The structure of the big data analysis method for the air-conditioning unit provided by the present invention is that the air-conditioning unit is connected to a monitoring module for monitoring its operating data, the monitoring module transmits the operating data to the server through the communication module, the server stores the operating data in the database, and the processing system Retrieve the operating data in the database, and send instructions to the monitoring module through the server and the communication module according to the operating data, and the monitoring module sends prompt information and / or controls the operation of the air conditioning unit according to the received instructions.

[0031] Wherein, the monitoring module is used for connecting with the main board of the air-conditioning unit to obtain real-time operati...

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 relates to an air conditioning unit big data analysis method and an air conditioning unit. The air conditioning unit is connected with a monitoring module used for monitoring operation data of the air conditioning unit. The monitoring module transmits the operation data to a server via a communication module. The server stores the operation data into a database. A processing system calls the operation data in the database, and sends a command to the monitoring module via the server and the communication module according to the operation data. The monitoring module sends out a prompting message and/or controls the operation of the air conditioning unit according to the received command. By using the air conditioning unit big data analysis method provided by the invention, a fault rate of the air conditioner can be effectively reduced; when a fault occurs, the location of the fault can be locked by analyzing reasons, and when a unit picture is displayed on a displayer, a faulted component can be significantly colored, thus helping a user or an after-sales maintenance person to maintain; the air conditioner is more comfortable and humanized, and the unit becomes a full-automatically controlled air conditioner.

Description

technical field [0001] The invention relates to the field of air conditioning, and more particularly, to a big data analysis method of an air conditioning unit and an air conditioning unit using the method. Background technique [0002] Air-conditioning units, especially large-scale commercial air-conditioning units, will remain in the running state until they fail when the operating parameters deviate from the standard range during operation, which will cause great damage to the unit and a high failure rate. In addition, due to the lack of experience of after-sales maintenance personnel, etc. It is difficult to find out the cause of the fault, which affects the maintenance efficiency. Contents of the invention [0003] In view of this, the object of the present invention is to provide a large data analysis method for air-conditioning units and air-conditioning units, which can solve the following technical problems: inexperienced after-sales maintenance personnel, difficu...

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): G06F17/30G06Q10/00F24F11/00
CPCF24F11/30F24F11/32F24F11/52F24F11/62F24F2110/10F24F2120/10G06F16/245G06F2216/05G06Q10/20
Inventor 彭嘉欣钟金扬董玉红关富文黎开晖曾俊杰谢华文
Owner GREE ELECTRIC APPLIANCES INC
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