Nuclear power plant cold source marine organism intelligent detection method and system

Abstract

The invention discloses a nuclear power plant cold source marine organism intelligent detection method and system, and the method comprises the steps: pre-constructing an intelligent classification recognizer, carrying out the feature extraction of an obtained image of at least one marine organism, inputting the extracted features into the intelligent classification recognizer, and carrying out the classification recognition. And carrying out counting and abundance time sequence prediction on different types of marine organisms after classification and identification. The method can rapidly, automatically and accurately obtain the number dynamic change and the abundance time sequence prediction of different types of marine organisms, obtains the distribution of the marine organisms, provides a feasible technology for marine organism diversity intelligent detection and forecasting and early warning, and provides a response decision basis for nuclear power cold source safety management.

Description

technical field [0001] The invention relates to the technical field of biological detection of cold sources of nuclear power plants, in particular to an intelligent detection method and system for biologicals of cold sources of nuclear power plants. Background technique [0002] The impact of offshore organisms and foreign matter on the safety of nuclear power cold sources is a world-class problem that plagues coastal nuclear power at home and abroad. According to incomplete statistics from WANO (World Association of Nuclear Operators), since 2004, hundreds of nuclear power plant cold source incidents have occurred around the world. The large-scale offshore biological outbreak has exceeded the design basis of the original cold source system, and corresponding supplementary or improvement measures need to be taken. At present, nuclear power plants mainly adopt measures such as disinfecting, intercepting, and reducing power to deal with the outbreak of marine organisms. Howev...

AI Technical Summary

Problems solved by technology

[0006] 1) The aggregation and outbreak mechanism of most plankton is not clear, and its aggregation and outbreak have strong uncertainties;

[0007] 2) The ecological habits of plankton are distributed in patches, and the accuracy of their ecological habits is poorly grasped. Their temporal and spatial distribution is closely related to planktonicity, and it is difficult to effectively infer the possibility of their development

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