Radon thorium daughter fixed energy region proportion coefficient deduction algorithm

Abstract

The invention provides a radon thorium daughter fixed energy region proportion coefficient deduction algorithm. The algorithm comprises the following steps of acquiring a spectral line; performing smoothing and spectral drift correction on the spectral line; determining a spectral line energy region; training a support vector regression machine; and performing radon and thorium daughter deductionon the actually measured spectral line by utilizing the trained support vector regression machine. A radon thorium daughter deduction effect is a main factor affecting a minimum detection limit of a manual radioactive aerosol continuous monitor; and the support vector regression machine has high generalization ability, so that the algorithm has the advantages of global optimality, theory for smallsample statistics, good fitting characteristics for nonlinear curves and the like. The radon thorium daughters are deducted by adopting the support vector regression machine; the performance of the algorithm is superior to that of average value, empirical formula and neural network deduction methods adopted at present; and the deduction accuracy of the radon thorium daughters is improved, so thatthe minimum detection limit of the monitor is further reduced.

Description

technical field [0001] The invention relates to the technical field of design and improvement of environmental radiation monitoring equipment, in particular to a deduction algorithm for the fixed energy region proportional coefficient of radon thoron daughters. Background technique [0002] Radioactive aerosols in the environment are mainly caused by radioactive particulate matter entering the air, adhering or condensing to ordinary dust particles or water mist in the air, so that non-radioactive aerosols become radioactive aerosols. From the point of view of source, radioactive aerosol is composed of two parts: natural α / β radioactive aerosol and artificial α / β radioactive aerosol. Natural α / β radioactive aerosols are formed by radon and its daughters produced by natural radiation series in the environment entering the atmosphere. Artificial α / β radioactive aerosols will release a large amount of artificial radioactive substances into the atmosphere due to atmospheric nucl...

AI Technical Summary

Problems solved by technology

[0007] In summary, the existing problems in the prior art are: using the average value and empirical formula to fit and deduct radon thoron progeny, there is a large error, which affects the improvement of the deduction accuracy, and the use of neural networks to deduct radon thoron progeny, Although it can improve the deduction accuracy, it does not perform well in practical applications due to defects such as requiring a large number of training samples and being prone to overfitting.

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