Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Photovoltaic Modules Based on Automatic Biochemical Analyzer Colorimetric System Optimization Design

Authors
Zhigang Hu, Zhe Du, Hu Wang, Zhendong Shang
Corresponding Author
Zhigang Hu
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.64How to use a DOI?
Keywords
Photovoltaic Modules; Analysis; Optical Design; Circuit Design
Abstract
In this paper, 8-channel photovoltaic modules was made up of the spectral device, monochromator and amplifier circuit. Combining with the spectroscopic techniques, an automatic biochemical analyzer colorimetric system was designed. The 12V halogen lamp which adds stabilizer and a cooling fan was used as light source. The band full width at half maximum of 10nm filter was selected as spectroscopic device. The PIN13DSB photoelectric diode was chosen as photoelectric converter. The amplifier circuit was designed by using Photovoltaic mode. Compared with traditional biochemical analyzer , the experiment shows that this design method can reduce the color dark noise of the system, and improve the accuracy of colorimetric system testing.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.64How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhigang Hu
AU  - Zhe Du
AU  - Hu Wang
AU  - Zhendong Shang
PY  - 2016/10
DA  - 2016/10
TI  - Photovoltaic Modules Based on Automatic Biochemical Analyzer Colorimetric System Optimization Design
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 506
EP  - 515
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.64
DO  - https://doi.org/10.2991/ceie-16.2017.64
ID  - Hu2016/10
ER  -