Radioactive aerosol monitoring method based on hybrid generalized Pareto function

A radioactive and aerosol technology, applied in X-ray energy spectrum distribution measurement, complex mathematical operations, etc., can solve the problems that artificial radioactive aerosols are susceptible to environmental interference, low monitoring accuracy, and environmental interference accuracy

Inactive Publication Date: 2019-01-18
MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a radioactive aerosol monitoring method based on the mixed generalized Pareto function for the existing artificial radioactive aerosols that are susceptible to environmental interference and low monitoring accuracy
The invention is an aerosol monitoring energy spectrum processing method based on a finite mixture model and a generalized Pareto distribution, which can effectively solve the problems of being susceptible to environmental interference and low precision in existing monitoring methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radioactive aerosol monitoring method based on hybrid generalized Pareto function
  • Radioactive aerosol monitoring method based on hybrid generalized Pareto function
  • Radioactive aerosol monitoring method based on hybrid generalized Pareto function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] The operation steps of this implementation are as follows.

[0031] (1) The energy spectrum data of the radioactive aerosol sample in the filter paper is collected in real time by ion implantation type silicon alpha particle detector and multi-channel analyzer;

[0032] (2) Set the energy range threshold T 1 , T 5 and the boundary threshold T between artificial road and natural road 4 , these thresholds can also be obtained from the detector calibration parameters;

[0033] (3) For the interval [T 4 , T 1 ], described and fitted using a three-component finite mixture model, namely

[0034]

[0035] where f(x|θ) is the peak shape function with the constructed parameter vector θ, derived from the generalized Pareto distribution, θ i , 1≤i≤2 are respectively 212 Po and 214 Parameters of the energy spectrum peak generated by Po, θ 3 for 212 Bi& 218 The parameters of the energy spectrum peak produced by Po;

[0036] (4) According to θ i ,1≤i≤3 and combined wi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a radioactive aerosol monitoring method based on a hybrid generalized Pareto function for solving the problems that the existing artificial radioactive aerosol is susceptible to environmental interference and that the monitoring precision is low. In view of two problems that an energy spectrum fitting stripping method requires a proper peak shape function and that energy region division is needed, the invention constructs an alpha energy spectrum tailing peak shape function based on the generalized Pareto distribution to improve the defects of an exponential tailing peak shape function, and secondly, fewer input thresholds are required on the method steps, the energy spectrum data of all sites are utilized, and no assigned monitoring concentration is obtained. The invention provides an aerosol monitoring energy spectrum processing method based on a finite hybrid model and the generalized Pareto distribution, which can effectively solve the problems that the existing monitoring method is susceptible to the environmental interference and that the precision is slow. In the radioactive aerosol monitoring method disclosed by the invention, the contributions of all nuclides on the calculation steps are positive, and no negative value occurs, thereby effectively avoiding the problem of negative value monitoring concentration, and the input thresholds can be effectively reduced.

Description

technical field [0001] The invention relates to the field of radioactive aerosol monitoring methods, in particular to a radioactive aerosol monitoring method based on mixed generalized Pareto functions. Background technique [0002] In nuclear material processing and radioactive waste storage and other occasions, it is possible to combine long-lived artificial radionuclides with particulate matter in the air to form artificial radioactive aerosols. Once people inhale these artificial radioactive aerosols, they will be damaged by continuous internal exposure of artificial radionuclides. For the real-time monitoring of the artificial radioactive aerosol concentration, it is of great significance to detect the abnormal situation in the radioactive workplace in time to ensure the safety of the staff. However, natural radon thoron progeny radioactive aerosols seriously interfere with the monitoring of artificial radioactive aerosols, and such aerosols are affected by different t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01T1/36G06F17/15
CPCG06F17/15G01T1/36
Inventor 赵伟王雷付军秦驰吴柳青肖丽
Owner MATERIAL INST OF CHINA ACADEMY OF ENG PHYSICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products