Surface Meteorological Data Quality Control Based on Blackboard Model
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Abstract:
The real-time meteorological data quality control plays a prominent role in meteorological support for aviation-activities 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)-time 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%.
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TP18
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.