Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent maintenance system based on WMI technique and decision tree classification algorithm

A decision tree classification and maintenance system technology, applied in the field of intelligent maintenance systems, can solve the problems of low maintenance level of users and high maintenance costs for professional maintenance personnel, and achieve the effect of solving repeated learning maintenance and saving manpower and material resources

Inactive Publication Date: 2017-06-30
曹圣航
View PDF7 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the disadvantages of low maintenance level of users and high maintenance costs of professional maintenance personnel in the above-mentioned current computer accessories maintenance methods, the present invention provides an intelligent maintenance of computer accessories based on WMI technology and decision tree classification algorithm System, set up a dedicated server and database, users access the server through the network, take WMI (Windows Management Instrumentation) as the core component, obtain the error logs of computer accessories, and analyze the corresponding solutions, so that users can quickly and conveniently deal with computer accessories failures

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 maintenance system based on WMI technique and decision tree classification algorithm
  • Intelligent maintenance system based on WMI technique and decision tree classification algorithm
  • Intelligent maintenance system based on WMI technique and decision tree classification algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The structure and working principle of the present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments:

[0035] Specifically, the present invention provides an intelligent maintenance system for computer accessories based on WMI technology and decision tree classification algorithm, such as figure 1 As shown, it includes clients 1 and 2, a control terminal 3, a log server 5 and a database server 4. The client and the control terminal 3 communicate with the log server 5 through the Internet respectively, and the log server 5 communicates with the database server 4.

[0036] The clients include a first client 1 and a second client 2, the first client 1 connects to the computer accessories and uploads the error information of the automatically obtained computer accessories to the log server 5 through the Internet, the second client 2 Manually obtain the error information of the computer accessories and upload it...

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 provides an intelligent maintenance system based on a WMI technique and a decision tree classification algorithm. The intelligent maintenance system comprises a client, a control terminal, a log server and a database server, wherein the client and the control terminal achieve data communication with the log server through the Internet, and the log server is in communication connection with the database server. According to the intelligent computer accessory maintenance system based on the WMI technique and the decision tree classification algorithm, an application directly acquires error information of a computer accessory or manual input error information of a user through the WMI technique, the client accesses the server through the Internet, and the server accurately acquires a wrong solution through the decision tree algorithm and feeds the solution to the client; meanwhile, after the user solves a failure of the computer accessory, the server automatically generates a maintenance log file for being used in next-time maintenance, the precise solution is provided for maintenance of the computer accessory, and meanwhile extensive expenditure is saved.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to an intelligent maintenance system based on WMI technology and a decision tree classification algorithm. Background technique [0002] As the most common office equipment, computer accessories are widely used in enterprises and institutions. Due to their wide application, the maintenance of computer accessories is inevitable, and there are many types of computer accessories and duplication of application occasions, resulting in various failure problems. Increased the difficulty of repairing computer accessories. [0003] The current repair method of computer accessories mainly depends on the experience of the user and the repair of professional maintenance personnel. The maintenance ability of the user varies greatly, and generally cannot solve complex problems; the maintenance cost of professional maintenance personnel is relatively high, and they need to wait for maintenanc...

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): G06F11/22G06F17/30G06Q10/00
CPCG06F11/2252G06F16/2465G06Q10/20
Inventor 曹圣航
Owner 曹圣航
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products