The research on hydraulic components data monitoring and management system based on network real-time monitoring

Qi Zhang, Zhi Jing Zhang, Jin Xin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

in order to improve the speed and accuracy of monitoring data of hydraulic components,improve the method and efficiency of data storage management, hydraulic components data monitoring and management system based on network real-time monitoring were researched.system uses the ADLINK PCI-9114 data acquisition card collecting signal the sensor transferring,then transfer the signal to the computer on the scene.Temperature,pressure,flow and other signal data acquisition,data analysis,data storage and alarm functions were realized through the LabVIEW software.The system also achieved real-time remote monitoring by B/S structure.Compared with the existing hydraulic control system,the system integrated data acquisition,data analysis,data storage and alarm function and realized the remote real-time monitoring,also have a good interface of humanization design.So it can be applied to the field of hydraulic components data acquisition.

Original languageEnglish
Title of host publicationFrontiers of Mechanical Engineering and Materials Engineering II
Pages745-750
Number of pages6
DOIs
Publication statusPublished - 2014
Event2013 2nd International Conference on Frontiers of Mechanical Engineering and Materials Engineering, MEME 2013 - , Hong Kong
Duration: 12 Oct 201313 Oct 2013

Publication series

NameApplied Mechanics and Materials
Volume457-458
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 2nd International Conference on Frontiers of Mechanical Engineering and Materials Engineering, MEME 2013
Country/TerritoryHong Kong
Period12/10/1313/10/13

Keywords

  • Data monitoring
  • Data storage
  • Hydraulic pressure
  • Labview

Fingerprint

Dive into the research topics of 'The research on hydraulic components data monitoring and management system based on network real-time monitoring'. Together they form a unique fingerprint.

Cite this