z-logo
open-access-imgOpen Access
IIOT-Based Intelligent Control and Management System for Motorcycle Endurance Test
Author(s) -
Shuxing Du,
Bo Liu,
Huixun Ma,
Guoying Wu,
Peng Wu
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2841185
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The Industrial Internet of Things (IIOT) is a new generation intelligent system based on the realtime network and embedded system. It combines the global Internet with the new capabilities of direct control of the physical world to promote the rapid development of manufacturing industry and other industries. In this paper, a four-layer IIOT architecture, that is perception executive layer (data acquisition), cognitive layer (business logic, identification, classification), network layer (communication layer), and control layer (external participation), is proposed aiming to the design goal to realize the intelligent management and remote control of motorcycle 's endurance test. This architecture has a good guiding role for the design and development of IIOT and service-oriented architecture. On this basis, the paper builds the new Internet of Thing test platform management system with the ability of digital intelligent control, intelligent perception and remote intensive management. The system includes a management platform and five sub-system: frontend data acquisition system, control feedback and processing system, data transmission system, database management system, and cloud management system. By improving the interface capability of external (detection) parameters and establishing protocol relationships, the system become an open system with easy management, upgrading, extension, and compatibility. Thus realized the remote monitoring and control management on the endurance test process, improved the ability of cloud services through the cloud monitoring and management platform, and achieved the test control and management systematic, modular, digital, and intelligent.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom