基于大数据的食品安全社会共治模式探索与实践

Research and Application of Big Data-Based Co-Regulation Model in Food Safety Governance

通过分析我国食品安全的状况,研究食品安全社会共治模式大数据平台的需求、设计、开发与运行,探明基于大数据的食品安全社会共治模式发展的路径。结合食品安全社会共治大数据的特点,进行食品安全社会共治大数据平台的设计、开发与实践。在贵州食品安全社会共治大数据的实践中,创新性的开发了"食品安全云"平台(www.fsnip.com)。面向政府、食品企业、检验检测机构、行业协会、媒体和消费者开发的食品安全社会共治大数据平台,形成了集数据采集、分析、应用于一体的体系,促进了数据互联互通,提高了工作效率,降低了食品安全治理的成本。借助食品安全社会共治大数据平台能够提高食品安全治理的效能。

This paper is aimed to construct a food safety and nutrition information collection and analysis platform with new internet technologies including big data to improve the analytic capacity and the data-mining capability, and thereby to provide more accurate and comprehensive food safety and nutrition information for government agencies, food companies, guilds, inspection organizations, consumers, and social media. Based on big data features of food safety in Guizhou province, a cloud computing and big data-based service platform composed of four layers was proposed which integrates data acquisition, analysis and application. The “food safety cloud” （www.fsnip.com） based on the proposed method has attained relatively significant achievements such as promoting data connectivity, improving the work efficiency, and reducing the cost of food safety governance. Thus, the platform can improve the efficiency of food safety governance.