A multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants

A technology of multi-source information fusion and nuclear power plants, which is applied in the field of multi-source information fusion of marine life detection and early warning in nuclear power plants, can solve the problem that data fusion cannot handle heterogeneous data, etc., and achieve the effect of improving the reliability of cold sources

Active Publication Date: 2021-02-12
SUZHOU NUCLEAR POWER RES INST +2
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Problems solved by technology

The data to be processed by data-level fusion is collected under the same type of sensors, so data fusion cannot handle heterogeneous data

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  • A multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants
  • A multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants
  • A multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] The multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants of the present invention first analyzes that the main factor of marine organisms invasion is the density of marine organisms, and other factors for establishing the density of marine organisms and the establishment of a model for detection and early warning of marine organisms include: ocean current velocity, ocean current Angle with water inlet, sea breeze, angle between sea breeze and water inlet, seawater temperature, seawater salinity, etc. Establishing a three-dimensional multi-source model requires 5 factors (marine organism density, relative flow velocity, relative wind velocity, salinity and temperature), and through the fusion of data characteristics of the 5 factors, the degree of marine organism invas...

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Abstract

The invention relates to a multi-source information fusion algorithm for detection and early warning of marine organisms in a nuclear power plant. It is mainly aimed at the data collected by multiple sensors on the site, adopts a decision-level fusion form, and performs data respectively based on a linear regression model and a fuzzy neural network prediction method. Through analysis and calculation, the early warning model of multi-source information fusion for marine life detection and early warning is obtained; it uses the least squares multi-parameter function estimation method in the linear multiple regression model estimation method, and combines the linear regression function that comes with MATLAB to perform multi-parameter estimation Obtain the calculation formula of intrusion intensity, fitting error and Euclidean distance, etc.; use fuzzy theory and neural network technology to fit sensor sampling data, and realize non-parametric multi-sensor data fusion algorithm to determine the degree of marine biological invasion and the occurrence of water intake The possibility of blockage, etc., provides support for the overall improvement of the reliability of the cold source of the nuclear power plant.

Description

technical field [0001] The invention belongs to the safety field of nuclear power plants and relates to the development of an early warning system algorithm, in particular to a multi-source information fusion method for detection and early warning of marine organisms in nuclear power plants. Background technique [0002] Multi-sensor data fusion technology was formed in the 1980s and has become a research hotspot. It is different from general signal processing, and also different from the monitoring and measurement of single or multiple sensors, but a higher-level comprehensive decision-making process based on the measurement results of multiple sensors. Compared with single sensor, the use of multi-sensor information fusion technology can enhance the viability of the system, improve the reliability and robustness of the whole system, enhance the reliability of data, and improve the accuracy in solving problems such as detection, tracking and target recognition. Expand the ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06F30/20G06N3/02
CPCG06N3/02G06F30/20G06F18/25
Inventor 孟威李建文陆海荣刘笑麟成志娟张锦飞
Owner SUZHOU NUCLEAR POWER RES INST
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