Abnormal data optimization method and device based on electronic purse seine and electronic equipment

Abstract

The invention relates to the technical field of data processing, in particular to an abnormal data optimization method and device based on an electronic purse seine and electronic equipment. The method comprises the following steps: acquiring monitoring sample data, and extracting abnormal data features from the monitoring sample data; performing principal component analysis based on the abnormaldata features to determine an abnormal data sample, and constructing an abnormal data detection model according to the abnormal data sample; carrying out abnormal data detection on the real-time monitoring data by utilizing an abnormal data detection model to obtain real-time abnormal data, and analyzing the real-time abnormal data to obtain an analysis result; and correcting the real-time abnormal data based on the analysis result to obtain an abnormal data optimization result. And the real-time abnormal data is obtained and analyzed and corrected, so the generation of the abnormal data is reduced, the monitoring frequency of abnormal data monitoring results is reduced, the efficiency of effective monitoring results is improved, and the normal operation of data monitoring in the electronic purse seine is further ensured.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an electronic fence-based abnormal data optimization method, device and electronic equipment. Background technique [0002] Due to the need to monitor and identify multiple types of target data in the electronic fence, and because the simplification of the existing target monitoring and identification algorithms cannot be used for complex types of targets (for example: multiple targets overlap or the image of the target to be identified is incomplete, etc. ) for accurate monitoring and identification. Therefore, in the monitoring and identification system of the electronic fence, misidentified data or unrecognizable abnormal data often appear, and due to the generated misidentified data and unidentifiable abnormal data, the electronic fence. The target monitoring results cannot be effectively identified and also affect the normal operation of data monitoring in the electr...

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Problems solved by technology

[0003] In view of this, an embodiment of the present invention provides an electronic fence-based abnormal data optimization method, device, and electronic equipment to solve the problem in the prior art that the monitoring data in the electronic fence is abnormal and the monitoring results cannot be effectively identified. question

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