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A multi-source information fusion algorithm for marine biology detection and early warning in nuclear power plant

A technology of multi-source information fusion and nuclear power plants, applied in the field of multi-source information fusion algorithms for detection and early warning of marine organisms 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: 2019-01-11
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 algorithm for marine biology detection and early warning in nuclear power plant
  • A multi-source information fusion algorithm for marine biology detection and early warning in nuclear power plant
  • A multi-source information fusion algorithm for marine biology detection and early warning in nuclear power plant

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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 algorithm 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 (sea organism density, relative flow velocity, relative wind speed, salinity and temperature), and through the fusion of data characteristics of the 5 factors, the degree of marine organism invasion...

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Abstract

The invention relates to a multi-source information fusion algorithm for marine biology detection and early warning in a nuclear power plant. For the data collected by many sensors in the field, the algorithm adopts decision-making fusion form, analyzes and calculates the data respectively based on linear regression model and fuzzy neural network prediction method, and obtains the early warning model of multi-source information fusion for marine biology exploration and early warning. The intrusion intensity formula, fitting error and Euclidean distance are obtained by using the least square multiparameter estimation method of a linear multiple regression model estimation method and the linear regression function of MATLAB. The fuzzy theory and neural network technology are used to fit thesensor sampling data, and a non-parametric multi-sensor data fusion algorithm is implemented to determine the invasion degree of marine organisms and the possibility of water intake blockage, which provides support for improving the reliability of nuclear power plant cold source.

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 algorithm 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 t...

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Application Information

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IPC IPC(8): G06K9/62G06F17/50G06N3/02
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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