A Pollution Source Location Method

Abstract

The invention discloses a method for locating pollution sources, which comprises the transmission position coordinates of sensor nodes and the concentration of pollutants detected by the sensor nodes; establishing a general model for analyzing the concentration of pollutants; setting a neural network model; and calculating t 1 to t n The theoretical value of the pollutant concentration of each sensor node at any time; the calculated theoretical value of the pollutant concentration is the training sample of the neural network model, and t 1 to t n The actual value of the pollutant concentration detected by each sensor node at any time is used as the expected output of the neural network model; in practical applications, the neural network model outputs the predicted pollutant concentration of each sensor node; and the location of the pollution source is located. By training the neural network model, the invention can accurately predict the pollutant concentration of sensor nodes at various positions after a period of time when the movement of pollutants in the water area to be measured is unknown, and locate the location of the pollution source. The invention is used for locating the position of the pollution source in the water area to be measured.

Description

technical field [0001] The invention relates to the technical field of software positioning. Background technique [0002] Since water pollution seriously affects the safety of the water environment, it is of great significance to find and locate pollution sources in time for the protection of the water environment. The manual detection technology usually used at present is usually unable to realize the demand of real-time detection due to the influence of water area, terrain and weather. Underwater robots cannot work in a large area for a long time due to high cost and reliability problems. [0003] Based on the above problems, those skilled in the art use the sensor network to realize the positioning function of the pollution source. The pollution source location algorithm configured by the sensor network in the prior art mainly includes a deterministic method and a probabilistic method. Among them, the deterministic method refers to the use of definite mathematical and...

AI Technical Summary

Problems solved by technology

Among them, the deterministic method refers to the use of definite mathematical and physical equations to analyze the movement state of pollutants, and converts the constructed inverse problem into a well-posed problem by using the canonical transformation to solve it analytically or numerically. The decision-making risk caused by the distortion of "optimal" parameters; and the probability method focuses on the evaluation of the probability of a specific event, mainly including Bayesian estimation and maximum likelihood estimation. The risk of decision-making caused by the distortion of optimal” parameters, but it has strong randomness, and its calculation amount will increase exponentially with the increase of parameters

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