Abstract
The logistics industry has seen phenomenal development in recent years, but hazardous articles such as inflammable and explosive goods carried in the logistics process may pose great hazards that seriously restrict the development of industry concerned, even threaten the safety of people's lives and property. Traditional X-ray examination has fallen short of what' s needed for accurately determining liquid and dust, while Raman spectroscopy, as an emerging technology, can judge the construction features of cargo molecules based on relative position and the intensity of atomic function groups in Raman spectrum. This paper builds a rapid picking system for dangerous goods warehousing based on the Raman spectroscopy and the translation-invariant wavelet threshold denoising algorithm. The findings reveal that the system will print the electronic labels on suspicious goods and access to the channel for secondary detection using the Raman spectroscopy. A Raman spectrum is then available for suspicious goods. It can also detect them by atomic function groups of different substances. With automatic picking system, it enables timely supervision on the whole picking process by the monitor, and control it by the controller. The study in this paper sheds light on application value of the rapid picking system based on Raman spectroscopy has certain.