摘要
近年来,大数据技术的发展如火如荼,应用范围越来越广泛,在各个领域都趋向于智能化、科技化的信息时代,面对海量的产品质量相关信息,如何快速、全面地获取有效信息,并使之产生关联,为缺陷产品召回工作中提供重要的数据支持,是本文的主要目标。本文提到的产品质量信息风险评估主要是通过识别信息中的潜在规律和特征,研判其可能存在的风险严重等级和发生概率,并依据数据中涉及产品质量信息的传播广度及交互程度等方面来客观分析质量风险状况,为后续产品质量缺陷调查及消费预警提供全面多维度的数据支撑。
In recent years, big data analysis is widely used in various industries increasingly. Today, when we are all in an information age where all applications are tend to be more intelligent and scientific, how to retrieve the information we need timely from massive quality data sources, find the connections between them and provide strong support for recalling defected products is the main concern of this paper. The risk assessment of product quality information mentioned in this paper means to identify the potential rules and characteristics in source information, judge the potential risk level and occurrence probability, objectively analyze the quality risks in the aspects such as the extent of communication and degree of interaction for the data related to product quality information, providing the convincing data support for defects investigation and consumer warning.
出处
《标准科学》
2017年第12期182-186,共5页
Standard Science
基金
中国标准化研究院院长基金项目"基于缺陷汽车产品故障表现的互联网影响力评价研究"(项目编号:282016Y-4502)资助
关键词
大数据分析
产品质量信息
风险评估
big data analysis, product quality information, risk assessment
