z-logo
open-access-imgOpen Access
CPCA: The Cloud Platform of Complex Virtual Instruments System Architecture
Author(s) -
Chao Liu,
Zhongwen Guo,
Yuan Feng,
Feng Hong,
Wei Jing
Publication year - 2017
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.2017.2682258
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
Virtual instruments is a program that implements functions of an instrument by software which could replace the work of real instruments to save resources. The functions of these sensor-based systems are limited and they commonly cannot manage related information, such as sensors and monitoring objects, due to special requirements. The procedure of development and integration often suffers from low efficiency because of non-standard technologies. To solve the aforementioned problems, an integrated system architecture based on complex virtual instruments (CVI) is proposed, which could not only extend the function of virtual instruments but also ease the development procedure of the system. By analyzing the characters of existing virtual instruments systems, this paper presents the data interaction standard, which has been applied by two IEEE standards, and the architecture, which consists of configuration subsystem, data collection simulation subsystem, Web service registration center, and so on. We also offer a light universal client which could dynamically load the DynamicLinkLibrary of different CVIs, in order to replace the complex integration procedure by scheduling different components. To valid the architecture, three existing systems are reconstructed by the proposed prototype subsystems. The result shows that the proposed architecture is efficient and feasible.

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