Automatic Data Quality Control for Environmental Measurements

摘要

The modern physics requires a large uninterrupted data for advanced study. The research data must be reliable, precise, adequate and available on time. Therefore advanced information systems should be developed and used. These systems must implement the most advanced technologies, algorithms and knowledge of informatics, programming and mathematics. This article describes a neural network model of automatic data quality control for large amount of real time uninterrupted data, implemented in the Institute for Nuclear Research and Nuclear Energy (INRNE) at the Basic Environmental Observatory (BEO) at Moussala.