Research on traceability and anti-counterfeiting management system of Chinese Baijiu based on big data

Abstract

As a traditional alcoholic drink and cultural symbol in China, Chinese Baijiu has developed and accumulated for many years, forming many world-class well-known brands such as Maotai, Wuliangye, Luzhou Laojiao and Langjiu. However, with the gradual expansion of Chinese Baijiu consumption industry scale and Chinese Baijiu consumption market, these brand Chinese Baijiu with high brand value and commercial profits were targeted by many counterfeiters, so that a large number of fake and inferior Chinese Baijiu products appeared in the market, disrupting the market. Due to the limitations of the current anti-counterfeiting and traceability technology, it is easy to be imitated and broken through by counterfeiters, making consumers unable to identify the authenticity of Chinese Baijiu products, which seriously infringes the interests of consumers and production enterprises. As a hot topic in many fields, big data can record information from one or more fields, forming a massive digital resource library with high utilization and research value. This project breaks through the traditional technical ideas, changes the single route, and designs and develops a traceability and anti-counterfeiting management system suitable for the field of Chinese Baijiu based on big data, combined with intelligent algorithms, integrating traceability, anti-counterfeiting, sales management and other functions. The key path of this system is one object dual code, digital coding, intelligent algorithms, multi client management, and front-end and back-end separation development.

Keywords

Chinese Baijiu / Big data / Traceability / Anti-counterfeiting / Management system

Funding

Foundation item.Supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202305405).

References

[1] China national radio net. (2023, March 28). The 5th (Expanded) Meeting of the 6th Council of the China Liquor Industry Association Was Held in Tai’an. China National Radio Net. https://food.cnr.cn/focus/20230328/t20230328_526197432.shtml

[2] China national intellectual property administration. (2023, May 6). Annual Report on China’s Anti Infringement and Counterfeiting Work (2022). China National Intellectual Property Administration. https://www.cnipa.gov.cn/art/2023/5/6/art_1413_187276.html

[3] People’s daily online. (2023, June 19). In 2022, a Total of 27000 Criminal Cases of Infringement and Counterfeiting Were Solved. Guangming Net. https://m.gmw.cn/2023-04/19/content_1303348260.htm

[4] China national radio net. (2023, June 14). The Case Value Is 530 Million! Yunnan Police Seized 160000 Bottles of Counterfeit Alcohol. CHINA NATIONAL RADIO NET. https://www.cnr.cn/yn/yaowen/20230614/t20230614_526288738.shtml

[5] Bryant R E, Katz R H, Lazowska E D. Big-Data Computing: Creating Revolutionary Breakthroughs in Commerce, Science,and Society[R/OL]. (2008-12-22)[2016-05-25]. http://cra.org/ccc/wp-content/uploads/sites/2/2015/05/Big_Data.pdf

[6] Hilbert M, Lopez P. The world’s technological capacity to store, communicate, and compute information[J]. Science, 2011, 332( 6025) : 60-65.

[7] Yang chengxin. (2019, January 10). Symbiosis in the Era of Big Data: A Study on the Characteristics of Data News Communication in China. People’s Daily Online. http://media.people.com.cn/n1/2019/0110/c424556-30515232.html

[8] Ministry of industry and information technology of the people’s republic of china. (2021, November 15). Notice of the Ministry of Industry and Information Technology on Issuing the Development Plan for the Big Data Industry during the 14th Five Year Plan Period. Ministry of Industry and Information Technology of the People’s Republic of China. https://www.miit.gov.cn/jgsj/xxjsfzs/wjfb/art/2021/art_a7a3ea67af254d13a6a07d5a098e727f.html

[9] Li Hao and Zhou Yuanyuan (2023). The Integrated Development and Application of Artificial Intelligence, Big Data, and Cloud Computing. Wireless Internet Technology (10), 114-116

[10] Feng Zhiyan, Guo Xunhua, Zeng Dajun, Chen Yubo, Chen Guoqing (2013). Several Frontier Issues in Business Management Research under the Background of Big Data. Journal of Management Science (01), 1-9

[11] Luan Meisheng, Li Junchu, Yuan Li(2023). Research on the Value and Measurement of Library Science Data in the Era of Big Data. Library Industry (01), 1-4+18 doi:10.14072/j.cnki.tsgj.2023.01.014