Skip to main navigation Skip to search Skip to main content

Research on Filter Special Equipment Remote Operation and Maintenance Big Data Platform

  • Jianjun Ding
  • , Tao Li
  • , Dan Xian
  • , Yang Bai
  • , Haofeng Sun
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Aiming at the difficulties in data collection, low level of informatization and low management efficiency in the filter industry, the system scheme based on USN system is designed by analyzing the business requirements of filter equipment production and management. In order to meet the needs of the complex structure on-line monitoring of special filtering equipment, the core process parameters and equipment vibration signals in complex environment are collected by deploying multi type micro integrated sensors. And on the basis of the existing sensors, control devices and PLC local monitoring system of the enterprise, the data collection and intelligent control mode of the whole life cycle of the filter and the system management mode of edge cloud collaboration are elaborated. In view of the difficulties in remote monitoring and quality control of multi category distributed filter equipment, the detailed design of data acquisition and equipment control communication process and system expansion process is proposed. Considering the complex filtering process, various parameters, real-time control requirements, extensive business expansion and other application scenarios, the proprietary IOT gateway and cloud server middleware are developed to support the concurrent management of various filtering core business. The cloud database and big data operation and maintenance management platform of filtering enterprises are constructed. And the system is applied to the production line of domestic first-line filter enterprises for process and operation monitoring. The system improves the efficiency of remote filter equipment monitoring and the quality of enterprise service through intelligent operation and maintenance. The reliability and application value of edge cloud collaborative system are verified.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Nanomanufacturing, nanoMan2021
EditorsShuming Yang, Xichun Luo, Yongda Yan, Zhuangde Jiang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages186-199
Number of pages14
ISBN (Print)9789811919176
DOIs
StatePublished - 2022
Event7th International Conference on Nanomanufacturing, nanoMan2021 - Xi'an, China
Duration: 17 Nov 2021 → 19 Nov 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume296 SIST
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference7th International Conference on Nanomanufacturing, nanoMan2021
Country/TerritoryChina
CityXi'an
Period17/11/21 → 19/11/21

Keywords

  • Data acquisition
  • Edge computing
  • Filter
  • Gateway
  • Internet of things
  • Micro sensor
  • Process monitoring
  • Quality control

Fingerprint

Dive into the research topics of 'Research on Filter Special Equipment Remote Operation and Maintenance Big Data Platform'. Together they form a unique fingerprint.

Cite this