融入大数据技术的食品安全监管体系建设研究

Research on the Construction of Food Safety Supervision System Integrating Big Data Technology

信息化时代,食品行业产生的数据十分庞大,在食品安全监管领域引入大数据技术可以有效解决传统食品监管模式存在的不足。大数据在食品监管中具有数据分析、责任交接、创新机制等方面的优势,其在建立食品安全风险信息数据库、食品安全风险预警体系、食品安全追溯系统以及智能监管系统中的有效运用,能使食品安全监管更加高效化、规范化,进而推动我国食品行业的健康平稳发展。

In the information age,the data generated by the food industry is very large,and the introduction of big data technology in the field of food safety supervision can effectively solve the shortcomings of the traditional food supervision model.Big data has the advantages of data analysis,responsibility transfer,innovation mechanism and other aspects in food supervision,and its effective application in the establishment of food safety risk information database,food safety risk early warning system,food safety traceability system and intelligent supervision system can make food safety supervision more efficient and standardized,and then promote the healthy and stable development of China’s food industry.