大数据实验室质量控制的研究方向

The Research Orientation of Quality Control in Big Data Labs

实验室的管理者和质量保证人员通过观察质量控制测试的数据变化趋势,可以发现某些检测项目存在的变化趋势和可能的风险。利用大数据分析技术,对实验室数据进行质量控制,把大数据分析误差控制在允许限度内。在数据收集与统计分析的基础上,可以进行商业智能与趋势预测方面的应用,可以进行实验数据异常点校验与关联分析等方面的数据挖掘工作等。

Laboratory management and quality assurance technician can identify the variation trend and possible risk of some test items by observing the data variation tendency of quality control test. The big data analysis technology can be used to the quality control on laboratory data,which ensures the big data analysis error control within the allowable limit. Based on the data collection and statistical analysis,big data technology can be used not only for the application of business intelligence and trend forecast,but also for the abnormal point calibration of experiment data and the correlation analysis of data mining,etc.