A Case Study Of Food Safety Monitoring And Early Warning In Chengdu Using Big Data

With the rapid development of economic and social development,the people’s table is becoming richer and richer,and the concept of food is also advancing with the times.The public’s pursuit of food and clothing to ensuring "safety on the tip of the tongue" reflects the development and changes of China’s food safety supervision and puts forward higher requirements for food safety supervision.However,in the process of our daily life,the process of food safety and quality supervision and guarantee is more cumbersome,and the relevant national departments supervise and control its methods are more traditional,which does not match the higher requirements of consumers for food safety supervision,which causes quality defects to be continuously reported at every stage from factories and pastoral gardens to supermarkets and tables,so it is necessary to explore a set of intelligent supervision models.Since the establishment of the National Food Safety Demonstration City in 2015,Chengdu has established and continuously improved the food safety monitoring and early warning system with big data as the core,forming a multi-department collaborative food safety working mechanism;Through continuous food safety data collection,the mechanism of food safety process supervision has been continuously improved,supervision measures have been increasingly strengthened,and the pass rate of food sampling inspection has been maintained at a high level.Under the organization and promotion of the Chengdu Food Safety Commission,all sectors of society actively participated in the demonstration and food safety governance,forming a pattern of social co-governance of food safety.In 2016,the National Food "Double Security and Double Innovation" on-site meeting was held in Chengdu,and the effectiveness of Chengdu’s use of big data to monitor and warn food safety was fully affirmed by the leaders of the State Council,national ministries and commissions,and representatives from other provinces and cities.The paper uses literature research method,actual location research method,and relevant case analysis method.Continuously read domestic and foreign literature and relevant policy documents,and combine field research data as the theoretical cornerstone,rationally use social collaborative governance and related knowledge,and construct the overall research framework of this paper.Carefully analyze the case of using big data to monitor and early warning food safety in Chengdu,carry out in-depth research from the two dimensions of big data supporting role and government leading role,carry out in-depth and wide-ranging discussions on the relevant actual events that form a governance pattern led by government departments,implemented by food safety authorities,and coordinated by the public,extract the underlying logic and practices of big data monitoring and early warning of food safety,and draw the required experience from it to make reference for later generations.The paper is divided into six parts,the first part expounds the research background and significance of the paper,the research status of big data monitoring and early warning food safety at home and abroad,the typicality of cases,and the research ideas,technical routes and theoretical basis.The second part describes the case in detail;The third part analyzes the case from the supporting role of big data in food safety monitoring and early warning;The fourth part analyzes the leading role of case promotion from the Chengdu Municipal Government.The fifth part distills the successful experience and enlightenment of the case;Part Ⅵ summarizes the case generalizability approach.