摘要
随着环境保护形势的日趋严峻,各大能源企业开始建设内部的污染源监测系统。污染源监测数据的采集、存储和计算要求极高,数据属性具有典型的大数据特征。在管理实际中,需要科学的算法排除异常数据,实时、真实地反映现场实际。流式计算的技术特性与污染源监测数据的计算处理的业务场景匹配度极高,对于能源企业内部环保管理的业务支撑可以发挥传统技术不可替代的作用。
With the increasingly severe situation of environmental protection,enterprises began to build pollution monitoring system.The collection,storage and calculation of data are extremely strict,and the data attributes have big data characteristics.In the practice of management,we need scientific algorithm to eliminate abnormal data and reflect the actual situation in real time.The flow calculation system are matched with pollution monitoring data processing,which can play an irreplaceable role in the business support of enterprise internal environmental management.
作者
高宏涛
GAO Hongtao(Chnenergy Network Information Technology Co.,Ltd.,Beijing 100011,China)
出处
《工业安全与环保》
2023年第8期97-101,共5页
Industrial Safety and Environmental Protection
关键词
污染源监测
数据甄别
流式计算
大数据
pollution source monitoring
data screening
flow calculation
big data
