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  • 學位論文

自動化光電量測在工業4.0之研究

The Study of Automatic Opto-Electronic Measurements for Industry 4.0

指導教授 : 黃俊穎

摘要


隨著技術的發展,工業4.0在產業界已成為不可或缺的技術,工業4.0的核心技術是即時監控、即時分析、即時判斷。在本研究當中,我們使用拉曼光譜建構了一個即時監控系統和深紫外光偵測器響應的量測系統,對於拉曼系統,我們探討了不同濃度的硝酸與拉曼光譜信號之間的關係。決定係數高達0.9971。因此,我們認為該系統具有實現工業4.0需求的潛力。此外,我們成功建立了描述深紫外光偵測器特性的系統。光偵測範圍是從250奈米到1100奈米。該系統包括響應度、外部量子效率、電流-電壓曲線和電流-時間曲線的測量值。我們相信將來可以將此自製系統與其他光電系統整合,以滿足工業4.0的需求。

並列摘要


With the development of technology, Industry 4.0 has become an indispensable technology in the industry. The core technology of Industry 4.0 is real-time monitoring, real-time analysis, and real-time decision. In this study, we constructed a real-time monitoring system using Raman spectroscopy and the measurement system for deep ultraviolet photodetectors. For Raman system, we probed the relationship between the various concentration of nitric acid and the signals of Raman spectra. The coefficient of determination is up to 0.9971. Thus, we believe that this system has the potential to realize the requirement for Industry 4.0. Besides, we successfully build up a setup to characterize the deep UV photodetectors. The photo-detection range is from 250 nm to 1100 nm. This setup includes the measurements for responsivity, external quantum efficiency, current-voltage curve, and current-time curve. We believe that this home-made setup can be integrated with other optoelectronic systems in the future to achieve the need of Industry 4.0.

參考文獻


[1] Kagermann, Henning, et al., Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion, 2013.
[2] Riedl, Matthias, et al., Cyber-physical systems alter automation architectures. Annual Reviews in Control, 2014. 38(1), p. 123-133.
[3] Feki, Mohamed Ali, et al., The internet of things: the next technological revolution. Computer, 2013. 46(2), p. 24-25.
[4] Bi, Zhuming, Li Da Xu, and Chengen Wang., Internet of things for enterprise systems of modern manufacturing. IEEE Transactions on industrial informatics, 2014. 10(2), p. 1537-1546.
[5] James, Timothy., Smart factories. Engineering & technology, 2012. 7(6), p. 64-67.

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