基于大数据技术的生态环境污染在线监控数据质量模型研究

Data Quality Model of Online Monitoring of Ecological Environment Pollution Based on Big Data Technology

提出基于大数据技术的生态环境污染在线监控数据质量模型。基于生态环境污染传感器采集数据,引入大数据技术中的标准对比法,建立无污染的生态环境曲线函数,计算其与在线监控的曲线函数的差值,采集生态环境污染在线监控数据,基于生态环境污染情况,确定生态环境污染的在线监控频率,由此获取到生态环境污染在线监控数据。利用分布式信息融合模式,实现数据质量信息最终决策。实验结果表明,设计模型可以保证生态环境污染在线监控数据质量。

A data quality model for online monitoring of ecological environmental pollution based on big data technology is proposed.Based on the data collected by eco-environmental pollution sensors,the standard comparison method in big data technology is introduced,the pollution-free eco-environmental curve function is established,the difference between the curve function and the online monitoring curve function is calculated,the on-line monitoring data of eco-environmental pollution is collected,and the on-line monitoring frequency of eco-environmental pollution is determined based on the eco-environmental pollution situation,thus obtaining the on-line monitoring data of eco-environmental pollution.Using distributed information fusion mode,the final decision of data quality information is realized.The experimental results show that the designed model can ensure the quality of online monitoring data of ecological environmental pollution.