• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Yan, Hairong (Yan, Hairong.) | Chen, Pengfan (Chen, Pengfan.)

Indexed by:

EI Scopus

Abstract:

The application of workflow in office OA has gradually matured, but it needs to be more real-time and random in the field of industrial Internet of things. The traditional modeling methods and process design can not meet the industrial process scenarios in industrial Internet of things. Therefore, this paper takes the application of workflow in the industrial Internet of things as the background, and aims to realize the workflow engine platform of probabilistic timed automata based on the industrial Internet of things. In this paper, through the requirements analysis, based on probabilistic timed automata to establish the process model based on industrial Internet of things, establish workflow engine, design the overall idea of workflow system platform, we adopt multi module structure and Spring Boot + MyBatis + Apache Shiro + Redis + Flowable + Beetl and other mainstream technologies to form a complete set of workflow engine platform. It can meet the requirements of industrial process and make the industrial process more efficient. © 2021 IEEE.

Keyword:

Signal processing Engines Robots Industrial research Intelligent computing Industrial internet of things (IIoT) Automata theory

Author Community:

  • [ 1 ] [Yan, Hairong]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Chen, Pengfan]Beijing University of Technology, Faculty of Information Technology, Beijing, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2021

Page: 1136-1139

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:660/5298325
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.