中文摘要：

气象数据实时质量控制对航空活动和防灾减灾的气象保障意义重大.该文介绍一个基于黑板模型的地面气象观测数据实时质量控制系统.该系统应用领域本体分析技术,集成多方面专家的经验知识,确定气象观测数据质量控制的知识点,通过异构知识体之间的协作,实时推断气象观测数据的正确性,实现对地面气象观测数据的实时自动错误检测、警示并给出更改建议.以地面航空气象观测数据实时质量控制为例,提出了用“错误召回率”和“警示正确率”指标对质量控制进行评测的方法.对1994年和2003年的资料质量分析结果显示,基于本文技术的观测数据质量控制的错误召回率接近100%,警示正确率达到89%.

英文摘要：

The real-time meteorological data quality control plays a prominent role in meteorological support for aviation-activitles and weather and climate disaster relief. A real-time meteorological data quality control system based on the blackboard model is described, which integrates domain ontological knowledge and various experiential knowledge of human experts. Based on the heterogeneous knowledge units, the system can be used for real-tlme meteorological data quality controlling. By use of the ontological analyzing technique, the entities and their relationship are analyzed to position the knowledge point for data checking and to improve the efficiency of knowledge acquiring from expert＇s experience. At the same time, the inter-operation among the knowledge units encapsulated independently can be realized based on ontology. An evaluation method is proposed to appraise the performance of the data quality control system. The results show that the error recall ratio reaches 100 % while the precaution accuracy is 89 %.