Virtual instrument for calibrating of multisensor testing system based on LabWindows/CVI

Xiaojun T. Tang; Weiping Li; Junhua Liu

doi:10.1117/12.521362

2 September 2003 Virtual instrument for calibrating of multisensor testing system based on LabWindows/CVI

Xiaojun T. Tang, Weiping Li, Junhua Liu

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521362
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

Abstract

In multi-sensor multi-parameter testing system, the mapping relation between inputs and outputs of the system must be built with calibrating data. In this paper, typical methods used to build this mapping relation are gathered and embed in a virtual instrument based on LabWindows/CVI. After data fusion has finished, instrument reports the fusion result to user. This made what user need to do are adding the path of file, in which calibrating data is saved, and choosing data fusion method, but not deep-seated understanding to data fusion methods. So repetitive development about data fusion can be avoided, the applying of data fusion can be broadened, and the development process of multi-sensor system can be accelerated.

Citation Download Citation

Xiaojun T. Tang, Weiping Li, and Junhua Liu "Virtual instrument for calibrating of multisensor testing system based on LabWindows/CVI", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521362

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available