规则引擎在气象资料质量控制中的应用研究

Application Research on Rule Engine-based Quality Control of Atmospheric Data

为了提高气象观测资料的质量,为大气运动规律研究及各类气象业务系统提供可靠的数据来源,提出一种基于RETE算法和Drools规则引擎的气象观测资料质量控制方法。该方法能对各类字符编码的气象报文进行实时、准确的检查,并具有灵活的规则自定义与维护功能,以适应各类气象观测资料不断发展、变化的要求。该方法的应用,既继承了传统的历史极值检查、内部一致性检查、时间一致性检查、空间一致性检查等质量控制方法,又提高了实时资料处理的效率。经实践证明,该方法的应用是行之有效的。

In order to improve the quality of meteorological observational data and to provide reliable data sources for researching on atmospheric activity regular pattern and a variety of meteorological applications, the paper presents a quality control method for atmospheric data, which Using Drools rule engine and RETE algorithm. The method can check the message with traditional alphanumeric codes exactly and real-time. It also has some flexible ability on self-defining and maintainability, by which to adapt the developing and changing requirements about atmospheric data. This method may inherit the traditional quality control methods, such as climatic extreme range check, internal consistency check, time consistency cheek, and spatial consistency check, etc. It can enhance the processing efficiency of real-time data, and can also promote the accuracy of result produced by meteorology applications. The practices prove that the applications with this method are effective and efficient.