Threshold Setting Method for Sea Surface Oil Spill Monitoring Based on id3 Algorithm and Neural Network

Abstract

The invention discloses a sea-surface oil spill monitoring threshold setting method based on an ID3 algorithm and a neural network and mainly solves the problem that the prior art cannot well apply tocomplex monitoring environments and changing detection distance. The method includes: using a monitoring system to acquire the environment information such as weather, tide, sun altitude and ultraviolet of a to-be-monitored sea area through the Internet; selecting and using an ID3 decision tree monitoring threshold or a neural network monitoring threshold according to a set time limit; performingmatched filtering on the monitoring data of the to-be-monitored sea surface to acquire a data maximum value, judging whether the maximum value exceeds the monitoring threshold or not, if so, transmitting an alarm, and if not, judging that oil spill does not occur on the sea surface; after staff receive the alarm, by the staff, judging whether oil spill actually occurs or not through a real-time image, if so, processing the oil spill immediately, and if not, manually modifying the threshold, and reconstructing an ID3 decision tree or training the neural network. By the method applicable to sea-surface oil spill monitoring, monitoring precision is increased.

Description

technical field [0001] The invention belongs to the technical field of detection, and in particular relates to a threshold setting method for sea surface oil spill monitoring, which can be used for ocean monitoring. Background technique [0002] Offshore oil has become an important energy strategic resource in China, which is of great significance to promote the sustainable development of my country's economy. With the development of offshore oil and the continuous progress of marine transportation, marine oil spill accidents continue one after another, which not only causes serious damage to the ecosystem, but also causes huge losses to the economy. [0003] Marine oil spills are characterized by unpredictability and instantaneousness. Although people have made many preparations for oil spills, how to determine the occurrence of oil spills in the first place is still the top priority. At present, the existing oil spill monitoring technology in our country is not high, and ...

AI Technical Summary

Problems solved by technology

[0007] First, due to the weak fluorescence signal itself, the signal-to-noise ratio of the collected signal is low, which affects the accuracy of the instrument and the setting of the detection threshold;

[0008] The second is that the existing equipment often cannot adapt to the change of the detection distance. When the tide or the external environment change causes the monitoring distance to change, the monitoring signal strength will change significantly, thus making the previously set threshold invalid, and it is impossible to correctly judge whether it has occurred. oil spill

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