Supercharge Your Innovation With Domain-Expert AI Agents!

An embedded intelligent electromechanical equipment condition monitoring system

A technology of condition monitoring system and electromechanical equipment, applied in general control system, control/regulation system, computer control and other directions, can solve the problems of weak function integration ability, low operation efficiency, poor compatibility, etc. Operational efficiency and good compatibility

Active Publication Date: 2018-09-21
ZHEJIANG UNIV OF TECH
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the shortcomings of the current industrial equipment monitoring system, such as weak function integration ability, poor compatibility, low operation efficiency and poor applicability, the present invention provides a system with weak function integration ability, good compatibility, and operation An embedded intelligent electromechanical equipment condition monitoring system with high efficiency and good applicability

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
  • An embedded intelligent electromechanical equipment condition monitoring system
  • An embedded intelligent electromechanical equipment condition monitoring system
  • An embedded intelligent electromechanical equipment condition monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] refer to Figure 1 ~ Figure 3 , an embedded intelligent electromechanical equipment status monitoring system, including a physical layer metadata support module, a system knowledge management and maintenance module, a system knowledge reasoning and identification module, and a system interaction session module, as attached figure 1 shown.

[0028] The physical layer metadata support module adopts component software design method and can be divided into three functional components: real-time data collection component (RDC 2 ), Preprocessing and Feature Extraction Component (PCEC), Monitoring Data Storage and Query Component (DSAC), as attached figure 2 shown. The RDC involved in the above framework 2 Based on the FORK concurrent process processing method, a new processing task is generated to realize multi-channel parallel acquisition of the physical signal ...

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

An embedded intelligent electromechanical equipment status monitoring system, including a physical layer metadata support module, a system knowledge management and maintenance module, a system knowledge reasoning identification module, and a system interaction session module; the physical layer metadata support module includes real-time data acquisition components RDC2, Preprocessing and feature extraction component PCEC and monitoring data storage query component DSAC; system knowledge management and maintenance module includes object instance management sub-component OIMC and monitoring knowledge rule management sub-component KRMC; system knowledge reasoning and recognition module includes knowledge reasoning mechanism component KIEC, object ontology Management component O2MC and rule clustering learning component RCSC; system interaction session module includes system management component SMC, monitoring suggestion and measure component MAMC and user session processing component USPC. The invention has relatively weak and strong function integration ability, good compatibility, high operation efficiency and good applicability.

Description

technical field [0001] The invention relates to the field of industrial process monitoring and instrumentation, in particular to a method for designing and implementing an embedded intelligent electromechanical equipment state monitoring system. Background technique [0002] Real-time status monitoring of industrial equipment is one of the key factors to ensure the safe operation of equipment and normal production. With the continuous expansion of industrial production scale, many equipments work together to generate many complicated working conditions, so the intelligent problem of industrial monitoring system is becoming more and more prominent. The industrial equipment monitoring system has high requirements on its reliability and stability. If the monitoring object is a large-scale key electromechanical equipment, while meeting the above requirements, the system needs to have the real-time transmission capability of batch data such as audio / video; in some special cases ...

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 Patents(China)
IPC IPC(8): G05B19/042G06F17/30G06K9/62G06N3/04G06N5/02G06N5/04
CPCG05B19/042G06F16/245G06F16/289G06N5/025G06N5/046G06N3/043G06F18/23G06F18/25G06F18/24
Inventor 谭大鹏鲍官军倪耶莎
Owner ZHEJIANG UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More