摘要
Compared with western medicine, there are many complicated factors affecting the intrinsic quality of traditional Chinese medicine, because its production needs to be planted, harvested, processed, transported, stored, and sold, etc. Therefore, the internet of things is integrated into the traceability of traditional Chinese medicine, and its key technologies are studied. An XMLbased traceability information exchange model was constructed for traditional Chinese medicine and modeled the traceability process by the finite state machine (FSM). Furthermore, the specific electronic product code (EPC) coding scheme of traditional Chinese medicine was proposed based on the EPC coding structure model. Finally, the effectiveness of the above models and schemes is verified by an example of a traditional Chinese medicine traceability prototype system.
出处
《国际计算机前沿大会会议论文集》
2019年第2期554-555,共2页
International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）
基金
the Natural Science Foundation of China (Grant No. 61701005)
the Domestic Visiting Research Project of Excellent Young Backbone Talents from Anhui Higher Education Institutions (Grant No. gxgnfx2019009)
the Key Project of Humanities and Social Sciences Research in Anhui Higher Education Institutions in 2019 (Grant No. SK2019A0242)
the Quality Project Foundation of Anhui Province (Grant No. 2017mooc220, No. 2018zhkt079, No. 2015sxzx011, No. 2012sjjd025)
the Key Project of Outstanding Young Talents Support Program of Anhui Higher Education Institutions (Grant No. gxyqZD2016128)
the Key Project of Natural Science Research in Anhui Higher Education Institutions (Grant No. KJ2015A054, No. KJ2019A0437)
the Key Teaching and Research Project of Anhui University of Chinese Medicine (Grant No. 2017xjjy_zd011)
the Natural Science key Foundation of Anhui University of Chinese Medicine (Grant No. 2019zrzd11, No. 2018zryb06)
the National Innovation and Entrepreneurship Training Program for College Student (Grant No. 20181036 9021, No. 201810369022, No. 201610369044, No. 201710369052).
