A radiation data calibration method for regional radiation monitors

Abstract

The present invention relates to the field of radiation measurement technology, and in particular to a radiation data calibration method for a regional radiation monitor, comprising: obtaining the interference degree of the radiation data at each moment of each position according to the change trend of the data in the local range at each moment in the radiation slope sequence of each position and the difference in the time intervals between all adjacent extreme value points in the radiation data curve; obtaining the corrected interference degree of the radiation data at each moment of each position through the correlation degree between the radiation data sequences of each position and other positions and the interference degree; correcting the radiation data of all positions at each moment through the distribution of the radiation data of all positions at each moment in the region and the corrected interference degree to obtain the radiation data after regional calibration. The present invention improves the accuracy of regional radiation data monitoring.

Description

Technical Field

[0001] The invention relates to the technical field of radiation measurement, and in particular to a radiation data calibration method for a regional radiation monitor. Background Art

[0002] Radiation monitoring instruments can measure the radiation level in the surrounding environment. By monitoring regional radiation data, it is possible to assess whether the radiation levels in these areas exceed safety standards. These data are essential for assessing the scope of the accident, determining evacuation areas, and guiding emergency response measures. The timeliness and accuracy of monitoring regional radiation data are crucial to protecting the public and emergency personnel.

[0003] In conventional technology, since the radiation data at different locations in a region are different, radiation monitors are installed at multiple different locations, and the average of the radiation data at all locations at the same time is generally used as the radiation data in each region to conduct radiation risk analysis in the region; however, since different locations in a region are affected by temperature and humidity to different degrees, and the representativeness of radiation data at different locations is different, using the average of the radiation data at all locations as the radiation data for the region will reduce the accuracy of regional radiation data monitoring. Summary of the invention

[0004] The invention provides a radiation data calibration method for a regional radiation monitor to solve the existing problems.

[0005] A radiation data calibration method for a regional radiation monitor of the present invention adopts the following technical solution:

[0006] An embodiment of the present invention provides a radiation data calibration method for a regional radiation monitor, the method comprising the following steps:

[0007] Acquire radiation data sequences of several locations in the region in time sequence;

[0008] Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each position through the change trend of the data in the radiation data sequence of each position; perform curve fitting on the radiation data sequence of each position to obtain the radiation data curve of each position, and obtain the periodicity factor of the radiation data sequence of each position through the difference in the time intervals between all adjacent extreme value points in the radiation data curve; obtain the interference degree of the radiation data at each moment in each position through the trend factor and the periodicity factor; correct the interference degree of the radiation data at each moment in each position through the correlation degree between the radiation data sequences of each position and other positions, and obtain the corrected interference degree of the radiation data at each moment in each position;

[0009] Obtaining the weight of the radiation data at each moment at each position through the distribution of the radiation data at all positions in the region at each moment and the corrected interference degree;

[0010] The radiation data of all positions at each moment are corrected by the weight of the radiation data of each position at each moment to obtain the radiation data after regional calibration.

[0011] Furthermore, the step of obtaining the trend factor of the radiation data at each moment in the radiation data sequence of each position by the change trend of the data in the radiation data sequence of each position includes the following specific steps:

[0012] In the radiation slope sequence of each position, the data greater than 0 is recorded as 1, the data less than 0 is recorded as -1, and the data equal to 0 is still 0. Thus, a sequence consisting of -1, 0, and 1 is obtained, which is recorded as the positive and negative sequence of the radiation slope of each position;

[0013] According to the difference of data in the local range at each moment in the radiation slope sequence of each position and the absolute value of the cumulative sum of data in the positive and negative sequences of the radiation slope at each moment, the trend factor of the radiation data at each moment in the radiation data sequence of each position is obtained.

[0014] Furthermore, the trend factor of the radiation data at each moment in the radiation data sequence of each position is obtained according to the difference of the data in the local range at each moment in the radiation slope sequence of each position and the absolute value of the cumulative sum of the data in the positive and negative sequences of the radiation slope at each moment, and the specific steps include the following:

[0015] The difference between each slope in the local range at each moment in the radiation slope sequence of each position and the mean of all slopes is recorded as the first difference of each slope in the local range at each moment, and the mean of the first differences of all slopes in the local range at each moment is recorded as the local second difference at each moment;

[0016] The absolute value of the accumulated sum of the data in the positive and negative sequence of the radiation slope in the local range at each moment is recorded as the positive and negative factor of the slope at each moment;

[0017] Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each location through the local second difference and the slope positive and negative factors at each moment;

[0018] Therein, the local second difference is negatively correlated with the trend factor of the radiation data, and the slope positive and negative factor is positively correlated with the trend factor of the radiation data.

[0019] Furthermore, the curve fitting is performed on the radiation data sequence at each position to obtain the radiation data curve at each position, and the specific steps include the following:

[0020] The radiation data sequence at each location is curve-fitted using the least squares method to obtain the radiation data curve at each location.

[0021] Furthermore, the periodicity factor of the radiation data sequence at each position is obtained by the difference in time intervals between all adjacent extreme value points in the radiation data curve, and the specific steps include the following:

[0022] The set of time intervals between all adjacent extreme value points in the radiation data sequence of each position is recorded as the time interval set of each position;

[0023] The difference between each data in the time interval set of each location and the mean of all data is recorded as the third difference of each data in the time interval set of each location, and the result of negative correlation mapping of the mean of the third difference of all data in the time interval set of each location is recorded as the periodic factor of the radiation data sequence at each location.

[0024] Furthermore, the interference degree of the radiation data at each moment in each position is obtained by using the trend factor and the periodic factor, and the specific steps include the following:

[0025] The product of the trend factor and the periodic factor is recorded as the first influencing factor of each position at each moment, and the interference degree of the radiation data of each position at each moment is obtained through the first influencing factor;

[0026] The first influencing factor is negatively correlated with the interference degree of the radiation data at each position at each moment.

[0027] Furthermore, the interference degree of the radiation data at each moment of each position is corrected by the correlation degree between the radiation data sequences of each position and other positions, so as to obtain the corrected interference degree of the radiation data at each moment of each position, which includes the following specific steps:

[0028] The mean value of the correlation coefficient between the radiation data sequences of each location and all other locations is recorded as the distribution difference feature of the radiation data of each location, and the distribution difference feature of the radiation data of each location is negatively correlated to obtain the abnormality degree of each location;

[0029] The interference degree of the radiation data at each moment of each position is corrected according to the abnormality degree of each position, so as to obtain the corrected interference degree of the radiation data at each moment of each position.

[0030] Furthermore, the distribution of radiation data of all positions at each moment in the passing area and the corrected interference degree are used to obtain the weight of radiation data of each position at each moment, and the specific steps include the following:

[0031] According to the distribution of radiation data of all positions at each moment in the region, the representative factor of the radiation data of each position at each moment is obtained;

[0032] Obtaining the weight of the radiation data at each moment of each position according to the representative factor of the radiation data at each moment of each position and the corrected interference degree;

[0033] Therein, the representative factor is positively correlated with the weight, and the corrected interference degree is negatively correlated with the weight.

[0034] Furthermore, the representative factor of the radiation data at each moment at each position is obtained according to the distribution of the radiation data at all positions in the region at each moment, and the specific steps include the following:

[0035] Obtain radiation data from radiation monitors at all locations at each moment, calculate the mean and standard deviation of the radiation data at all locations at each moment, and obtain the Gaussian function of the radiation data at each moment through the mean and standard deviation of all radiation data at each moment; obtain the function value corresponding to the radiation data at each location at each moment in the Gaussian function, and record it as the representative factor of the radiation data at each location at each moment.

[0036] Furthermore, the radiation data of all positions at each moment are corrected by the weight of the radiation data of each position at each moment to obtain the radiation data after regional calibration, which includes the following specific steps:

[0037] The calibrated radiation data at each moment in the area is obtained by taking the weight of the radiation data at each position at each moment and the radiation data of all positions at each moment; the calibrated radiation data at all moments in the area are formed into a set of sequences in chronological order, which are recorded as the corrected radiation data sequence of all positions.

[0038] The beneficial effects of the technical solution of the present invention are as follows: the present invention obtains the trend factor of the radiation data at each moment in the radiation data sequence of each position according to the changing trend of the data in the radiation slope sequence of each position, thereby improving the accuracy of the analysis of the interference degree of the radiation data in terms of trend; obtains the periodicity factor of the radiation data sequence of each position through the difference in the time intervals between all adjacent extreme points in the radiation data curve, thereby improving the accuracy of the analysis of the interference degree of the radiation data in terms of periodicity; obtains the interference degree of the radiation data at each moment at each position through the trend factor and the periodicity factor; obtains the interference degree of the radiation data at each moment at each position through the correlation degree between the radiation data sequences of each position and other positions The interference degree of the radiation data is corrected to obtain the corrected interference degree of the radiation data at each position at each moment, thereby improving the accuracy of the interference analysis of the radiation data at each position at each moment; through the distribution of the radiation data of all positions at each moment in the region, the representative factor of each position at each moment is obtained, and the weight of the radiation data of each position at each moment is obtained through the representative factor and the corrected interference degree, thereby improving the accuracy of the importance numerator of the radiation data of each position at each moment; through the weight of the radiation data of each position at each moment, the radiation data of all positions at each moment are corrected to obtain the radiation data after regional calibration, thereby improving the accuracy of regional radiation data monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A flowchart of the steps of a radiation data calibration method for a regional radiation monitor according to the present invention;

[0041] Figure 2 Flow chart for calibration of radiation data for regional radiation monitors. DETAILED DESCRIPTION

[0042] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the radiation data calibration method for a regional radiation monitor proposed by the present invention, its specific implementation method, structure, features and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0043] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044] The following is a detailed description of a specific scheme of a radiation data calibration method for a regional radiation monitor provided by the present invention in conjunction with the accompanying drawings.

[0045] See also Figure 1 , which shows a flow chart of the steps of a radiation data calibration method for a regional radiation monitor provided by an embodiment of the present invention, the method comprising the following steps:

[0046] Step S001: Collect radiation data of multiple locations in an area.

[0047] It should be noted that in order to monitor the radiation data in an area, since there are differences between the radiation data at different locations in an area, multiple radiation monitors are installed at multiple locations in the area, and the radiation data collected by the radiation monitors at multiple locations are used to analyze and obtain the radiation data in the area.

[0048] Specifically, 10 radiation monitors are evenly installed in an area, and the radiation data of each radiation monitor at all times within a month is obtained with a sampling interval of 10 minutes. The number of radiation monitors and the sampling interval are not specifically limited, and the implementer can determine them according to the specific situation. The radiation data is the radiation dose rate, which refers to the radiation dose received per unit time.

[0049] The radiation data at all times at each location are sorted in chronological order to form a set of sequences, which are recorded as the radiation data sequence of each location.

[0050] At this point, the radiation data sequence of all locations is obtained.

[0051] Step S002: Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each position through the changing trend of the data in the radiation data sequence of each position; perform curve fitting on the radiation data sequence of each position to obtain the radiation data curve of each position, and obtain the periodic factor of the radiation data sequence of each position through the difference in time intervals between all adjacent extreme points in the radiation data curve; obtain the interference degree of the radiation data at each moment in each position through the trend factor and the periodic factor; correct the interference degree of the radiation data at each moment in each position through the correlation degree between the radiation data sequences of each position and other positions, and obtain the corrected interference degree of the radiation data at each moment in each position.

[0052] It should be noted that due to the difference in humidity and temperature at different locations in the region, the components in the radiation monitors at different locations are affected differently by different temperatures and humidity, so the radiation data at different locations will be interfered with differently. Therefore, the radiation data of the region is corrected by the different interference degrees and densities of the radiation data at each location.

[0053] It should be further explained that when a radiation source appears in an area and radiates, the radiation in the area will gradually increase; when the radiation source in the area changes over time, the intensity of the radiation will gradually decrease, so the radiation data has a certain trend over a period of time; and if the radiation monitor is interfered with, the trend of its radiation data will be relatively weak, so the degree of interference can be analyzed by the trend of the radiation data. In industrial processes, radioactive materials may be released regularly, resulting in periodic fluctuations in radiation levels, and if the radiation monitor is interfered with, the trend of its radiation data will be relatively weak, so the degree of interference can also be analyzed by the periodicity of the radiation data. And the changes in radiation data at different locations in an area over time should be the same.

[0054] Preferably, the slopes between adjacent data in the radiation data sequence of each position are obtained, and the slopes between all adjacent data are grouped into a sequence in the order of the radiation data sequence, which is recorded as the radiation slope sequence of each position. According to the positive and negative signs of the radiation slope sequence data of each position, the data with a slope greater than 0 is recorded as 1, the data with a slope less than 0 is recorded as -1, and the data equal to 0 is still 0. Thus, a group of sequences consisting of -1, 0, and 1 are obtained, which is recorded as the positive and negative sequence of the radiation slope of each position. Among them, in the radiation slope sequence, the radiation slope at each moment is obtained based on the radiation data at the moment adjacent to the radiation data at each moment.

[0055] It should be noted that when the radiation data at each location is less disturbed by temperature and humidity, the trend of the radiation data should be stronger, that is, in the radiation slope sequence, the difference between the slopes in the local range of each slope is smaller, and the positive and negative slopes are more the same; when the radiation data at each location is more disturbed, the fluctuation of the radiation data at each location is greater, that is, in the radiation slope sequence, the difference between the slopes in the local range of each slope is greater, and the positive and negative slopes are more different. Therefore, the trend factor of the radiation data at each moment in the radiation data sequence of each location is obtained through the change trend of the data in the radiation data sequence of each location.

[0056] Preferably, the data at each moment is taken as the center and the left adjacent Data and right adjacent The data are the data in the local range of each central data, where the central data is also the data in the local range. is a preset parameter, and in this embodiment , but for There is no specific limitation and implementers can decide based on specific circumstances.

[0057] Further, as an embodiment, the specific calculation method of the trend factor of the radiation data at each moment in the radiation data sequence of each location is:

[0058] The difference between each slope in the local range at each moment in the radiation slope sequence of each position and the mean of all slopes is recorded as the first difference of each slope in the local range at each moment, and the mean of the first differences of all slopes in the local range at each moment is recorded as the local second difference at each moment;

[0059] The absolute value of the accumulated sum of the data in the positive and negative sequence of the radiation slope in the local range at each moment is recorded as the positive and negative factor of the slope at each moment;

[0060] Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each location through the local second difference and the slope positive and negative factors at each moment;

[0061] Therein, the local second difference is negatively correlated with the trend factor of the radiation data, and the slope positive and negative factor is positively correlated with the trend factor of the radiation data.

[0062] In one embodiment of the present invention, it is specifically expressed by the formula:

[0063]

[0064] In the formula, represents the first position in the radiation slope sequence at each location The local range of the moment The slope, represents the first position in the radiation slope sequence at each location The mean of all slopes in the local range at the moment, Indicates The local range of the moment The slopes correspond to the data in the positive and negative series of the radiation slopes. Indicates the number of all data in the local range of each data. Indicates the first The trend factor of the radiation data at a certain moment, represents an exponential function with a natural constant as base, The purpose of adding 1 in the formula is to prevent the sum of the slopes from being 0, which would affect the subsequent product results.

[0065] in, It represents the difference between the data in the radiation slope sequence. The smaller the difference, the stronger the trend, that is, the larger the trend factor; conversely, the weaker the trend, the smaller the trend factor. It represents the cumulative sum of positive and negative slopes within the local range of each slope data. The larger the absolute value of the cumulative sum, the stronger the trend, that is, the larger the trend factor; conversely, the weaker the trend, the smaller the trend factor.

[0066] At this point, the trend factor of the radiation data at each moment in the radiation data sequence of each location is obtained.

[0067] It should be noted that when the radiation data at each location is less disturbed by temperature and humidity, the periodicity of the radiation data should be stronger; conversely, the periodicity of the radiation data should be weaker. The periodicity of the radiation data can be analyzed by checking whether the time intervals between the maximum and minimum points in the fitting curve of the radiation data sequence are the same. Therefore, the periodicity factor of the radiation data sequence at each location is obtained by the difference in the time intervals between all adjacent extreme points in the radiation data curve.

[0068] Preferably, the radiation data sequence at each position is curve-fitted by the least square method to obtain the radiation data curve at each position. The least square method is a well-known technique and will not be described in detail here.

[0069] Further, as an embodiment, the specific calculation method of the periodicity factor of the radiation data sequence at each position is:

[0070] Obtain all extreme points in the radiation data curve, including maximum and minimum points. Record the set of time intervals between all adjacent extreme points in the radiation data sequence at each position as the time interval set at each position.

[0071] The difference between each data in the time interval set of each location and the mean of all data is recorded as the third difference of each data in the time interval set of each location, and the result of negative correlation mapping of the mean of the third difference of all data in the time interval set of each location is recorded as the periodic factor of the radiation data sequence at each location.

[0072] In one embodiment of the present invention, it is specifically expressed by the formula:

[0073]

[0074] In the formula, Indicates the first time interval in the set of time intervals for each location time interval, represents the mean of all time intervals in the set of time intervals at each location, Represents the number of all time intervals in the time interval set for each location, represents the periodicity factor of the radiation data sequence at each location, represents an exponential function with a natural constant as base, is the absolute value symbol.

[0075] Among them, when the difference in time intervals between all adjacent extreme points is smaller, the periodicity is stronger, that is, the periodicity factor of the radiation data sequence at each position is larger; conversely, the periodicity is weaker, that is, the periodicity factor of the radiation data sequence at each position is smaller.

[0076] It should be noted that, since the trend and periodicity of the radiation data sequence are not obvious when the radiation data is interfered with, the interference degree of the radiation data at each moment in each position is obtained through the trend factor and the periodic factor.

[0077] Preferably, as an embodiment, the specific calculation method of the interference degree of the radiation data at each position at each moment is:

[0078] The product of the trend factor and the periodic factor is recorded as the first influencing factor of each position at each moment, and the interference degree of the radiation data of each position at each moment is obtained through the first influencing factor;

[0079] The first influencing factor is negatively correlated with the interference degree of the radiation data at each position at each moment.

[0080] In one embodiment of the present invention, it is specifically expressed by the formula:

[0081]

[0082] In the formula, in the formula, Indicates the first The trend factor of the radiation data at a certain moment, represents the periodicity factor of the radiation data sequence at each location, Indicates the first The purpose of adding 0.1 to the denominator of the formula is to prevent the denominator from being zero.

[0083] Among them, when the trend factor and the periodicity factor are larger, the degree of interference is smaller; when the trend factor and the periodicity factor are smaller, the degree of interference is greater.

[0084] At this point, the interference degree of the radiation data at each location at each moment is obtained.

[0085] It should be noted that since the trend changes of radiation data at different locations are the same within the same period of time, that is, the radiation data at all locations increase and decrease at the same time, the interference degree of the radiation data at each location at each moment is corrected through the correlation between the radiation data sequences of each location and other locations to obtain the corrected interference degree of the radiation data at each location at each moment.

[0086] Preferably, as an embodiment, the specific calculation method of the interference degree of the radiation data at each position at each moment after correction is as follows:

[0087] The mean value of the correlation coefficient between the radiation data sequences of each location and all other locations is recorded as the distribution difference feature of the radiation data of each location, and the distribution difference feature of the radiation data of each location is negatively correlated to obtain the abnormality degree of each location;

[0088] The interference degree of the radiation data at each moment of each position is corrected according to the abnormality degree of each position, so as to obtain the corrected interference degree of the radiation data at each moment of each position.

[0089] In one embodiment of the present invention, it is specifically expressed by the formula:

[0090]

[0091] In the formula, Indicates The first position The degree of interference of radiation data at a moment, Indicates The first position The interference degree of the radiation data after correction at a moment, Indicates The Spearman correlation coefficient is a well-known technique and will not be described in detail here.

[0092] Among them, when the Spearman correlation coefficient is larger, the possibility of abnormality is smaller, and when the Spearman correlation coefficient is smaller, the possibility of abnormality is greater.

[0093] Furthermore, the abnormality degree of each position is specifically expressed by the formula:

[0094]

[0095] In the formula, Indicates Position and The Spearman correlation coefficient between the radiation data series at each location is represents the number of all positions, Indicates The degree of abnormality at each location, represents an exponential function with a natural constant as the base. The Spearman correlation coefficient is a well-known technique and will not be described in detail here.

[0096] Among them, when the Spearman correlation coefficient is larger, the possibility of abnormality is smaller, and when the Spearman correlation coefficient is smaller, the possibility of abnormality is greater.

[0097] At this point, the corrected interference degree of the radiation data at each location at each moment is obtained.

[0098] Step S003: Obtain the weight of the radiation data at each moment at each position through the distribution of the radiation data at all positions in the area at each moment and the corrected interference degree.

[0099] It should be noted that due to the different distribution of radiation data at different locations in a region, that is, in some areas, the radiation data collected by the radiation monitor close to the radiation source is larger, and the radiation data collected by the radiation monitor far from the radiation source in the region is smaller. However, the radiation data of all locations should obtain the radiation data of the region to analyze whether the radiation data in the region exceeds the abnormality. Therefore, by analyzing the radiation data of different locations, the representativeness of each location is obtained, that is, the representativeness of the radiation data at each location is different. Therefore, the radiation data of the region is obtained through the radiation data and representativeness of each location, so as to analyze the regional radiation through the new radiation data obtained.

[0100] It should be further explained that since radiation exists in a region through propagation and diffusion, the greater the proportion of the same radiation data at all locations in the region, the more representative it can be of the radiation data in the region. Therefore, the representativeness of the radiation data at each location can be obtained by distributing or proportioning the radiation data at all locations.

[0101] Preferably, the radiation data of the radiation monitors at all positions at each moment are obtained, the mean and standard deviation of the radiation data at all positions at each moment are calculated, and the Gaussian function of the radiation data at each moment is obtained through the mean and standard deviation of all the radiation data at each moment; the function value corresponding to the radiation data at each position at each moment in the Gaussian function is obtained, and recorded as the representative factor of the radiation data at each position at each moment. In this embodiment, the coefficient of the Gaussian function corresponding to the Gaussian distribution curve is 1. In this embodiment, the horizontal axis of the Gaussian function is the radiation data, and the vertical axis is the Gaussian function value.

[0102] Further, as an embodiment, the specific calculation method of the weight of the radiation data of each position at each moment is:

[0103] Obtaining the weight of the radiation data at each moment of each position according to the representative factor of the radiation data at each moment of each position and the corrected interference degree;

[0104] Therein, the representative factor is positively correlated with the weight, and the corrected interference degree is negatively correlated with the weight.

[0105] In one embodiment of the present invention, it is specifically expressed by the formula:

[0106]

[0107] In the formula, Indicates The first position The interference degree of the radiation data after correction at a moment, Indicates The first position The representative factor of radiation data at each moment, Indicates The first position The weight of radiation data at each moment, Represents an exponential function with a natural constant as its base.

[0108] Among them, the larger the representative factor of the radiation data at each position at each moment, the more suitable the radiation data at that position at that moment is for representing the radiation data of the area, that is, the larger the corresponding weight should be; the greater the degree of interference of the corrected radiation data at each position at each moment, the lower the credibility of the radiation data at that position at that moment, and the smaller the corresponding weight should be.

[0109] At this point, the weight of the radiation data at each position at each moment is obtained.

[0110] Step S004: Correct the radiation data of all positions at each moment by using the weight of the radiation data of each position at each moment to obtain radiation data after regional calibration.

[0111] It should be noted that since the radiation data at different locations in the region are different, it is necessary to calibrate the radiation data at each location at each moment through the weight of the radiation data at each location at each moment to obtain the radiation data at each moment in the calibrated region, so as to analyze the radiation situation in the region.

[0112] Specifically, the radiation data of each position at each moment is weighted and averaged with the radiation data of all positions at each moment to obtain the calibrated radiation data at each moment in the region; the calibrated radiation data of all moments in the region are combined into a sequence in chronological order, which is recorded as the radiation data sequence of all positions after correction. The radiation data calibration flow chart of the regional radiation monitor is as follows: Figure 2 shown.

[0113] It should be noted that the The model is only used to represent negative correlation and constrain the output of the model to be in In the specific implementation, it can be replaced by other models with the same purpose. This embodiment is only based on The model is described as an example without any specific limitation. is the input to the model.

[0114] At this point, this embodiment is completed.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A radiation data calibration method for a regional radiation monitor, characterized in that: The method comprises the following steps: Acquire radiation data sequences of several locations in the region in time sequence; Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each position through the change trend of the data in the radiation data sequence of each position; perform curve fitting on the radiation data sequence of each position to obtain the radiation data curve of each position, and obtain the periodicity factor of the radiation data sequence of each position through the difference in the time intervals between all adjacent extreme value points in the radiation data curve; obtain the interference degree of the radiation data at each moment in each position through the trend factor and the periodicity factor; correct the interference degree of the radiation data at each moment in each position through the correlation degree between the radiation data sequences of each position and other positions, and obtain the corrected interference degree of the radiation data at each moment in each position; Obtaining the weight of the radiation data at each moment at each position through the distribution of the radiation data at all positions in the region at each moment and the corrected interference degree; By using the weight of the radiation data of each position at each moment, the radiation data of all positions at each moment are corrected to obtain the radiation data after regional calibration; The method of obtaining the interference degree of the radiation data at each moment at each location by using the trend factor and the periodic factor includes the following specific steps: The product of the trend factor and the periodic factor is recorded as the first influencing factor of each position at each moment, and the interference degree of the radiation data of each position at each moment is obtained through the first influencing factor; Wherein, the first influencing factor is negatively correlated with the interference degree of the radiation data at each position at each moment; The method of correcting the interference degree of the radiation data at each moment of each position by the correlation degree between the radiation data sequences of each position and other positions, and obtaining the corrected interference degree of the radiation data at each moment of each position, comprises the following specific steps: The mean value of the correlation coefficient between the radiation data sequences of each location and all other locations is recorded as the distribution difference feature of the radiation data of each location, and the distribution difference feature of the radiation data of each location is negatively correlated to obtain the abnormality degree of each location; The interference degree of the radiation data at each moment of each position is corrected according to the abnormality degree of each position, so as to obtain the corrected interference degree of the radiation data at each moment of each position.

2. A radiation data calibration method for a regional radiation monitor according to claim 1, characterized in that: The method of obtaining the trend factor of the radiation data at each moment in the radiation data sequence of each position by the change trend of the data in the radiation data sequence of each position includes the following specific steps: In the radiation slope sequence of each position, the data greater than 0 is recorded as 1, the data less than 0 is recorded as -1, and the data equal to 0 is still 0. Thus, a sequence consisting of -1, 0, and 1 is obtained, which is recorded as the positive and negative sequence of the radiation slope of each position; According to the difference of data in the local range at each moment in the radiation slope sequence of each position, and the absolute value of the cumulative sum of data in the positive and negative sequences of the radiation slope at each moment, the trend factor of the radiation data at each moment in the radiation data sequence of each position is obtained.

3. A radiation data calibration method for a regional radiation monitor according to claim 2, characterized in that: The method of obtaining the trend factor of the radiation data at each moment in the radiation data sequence of each position according to the difference of the data in the local range at each moment in the radiation slope sequence of each position and the absolute value of the cumulative sum of the data in the positive and negative sequences of the radiation slope at each moment includes the following specific steps: The difference between each slope in the local range at each moment in the radiation slope sequence of each position and the mean of all slopes is recorded as the first difference of each slope in the local range at each moment, and the mean of the first differences of all slopes in the local range at each moment is recorded as the local second difference at each moment; The absolute value of the accumulated sum of the data in the positive and negative sequence of the radiation slope in the local range at each moment is recorded as the positive and negative factor of the slope at each moment; Obtain the trend factor of the radiation data at each moment in the radiation data sequence of each location through the local second difference and the slope positive and negative factors at each moment; Therein, the local second difference is negatively correlated with the trend factor of the radiation data, and the slope positive and negative factor is positively correlated with the trend factor of the radiation data.

4. The radiation data calibration method for a regional radiation monitor according to claim 1, characterized in that: The step of performing curve fitting on the radiation data sequence at each position to obtain the radiation data curve at each position includes the following specific steps: The radiation data sequence at each location is curve-fitted using the least squares method to obtain the radiation data curve at each location.

5. The radiation data calibration method for a regional radiation monitor according to claim 1, characterized in that: The method of obtaining the periodicity factor of the radiation data sequence at each position by the difference in the time intervals between all adjacent extreme value points in the radiation data curve includes the following specific steps: The set of time intervals between all adjacent extreme value points in the radiation data sequence of each position is recorded as the time interval set of each position; The difference between each data in the time interval set of each location and the mean of all data is recorded as the third difference of each data in the time interval set of each location, and the result of negative correlation mapping of the mean of the third difference of all data in the time interval set of each location is recorded as the periodic factor of the radiation data sequence at each location.

6. A radiation data calibration method for a regional radiation monitor according to claim 1, characterized in that: The distribution of radiation data of all positions at each moment in the region and the corrected interference degree are used to obtain the weight of radiation data of each position at each moment, and the specific steps include the following: According to the distribution of radiation data of all positions at each moment in the region, the representative factor of the radiation data of each position at each moment is obtained; Obtaining the weight of the radiation data at each moment of each position according to the representative factor of the radiation data at each moment of each position and the corrected interference degree; Therein, the representative factor is positively correlated with the weight, and the corrected interference degree is negatively correlated with the weight.

7. A radiation data calibration method for a regional radiation monitor according to claim 6, characterized in that: The method of obtaining the representative factor of the radiation data at each moment at each position according to the distribution of the radiation data at all positions in the region at each moment includes the following specific steps: Obtain radiation data from radiation monitors at all locations at each moment, calculate the mean and standard deviation of the radiation data at all locations at each moment, and obtain the Gaussian function of the radiation data at each moment through the mean and standard deviation of all radiation data at each moment; The function value corresponding to the radiation data at each position at each moment in the Gaussian function is obtained, and recorded as the representative factor of the radiation data at each position at each moment.

8. The radiation data calibration method for a regional radiation monitor according to claim 1, characterized in that: The radiation data of all positions at each moment are corrected by the weight of the radiation data of each position at each moment to obtain the radiation data after regional calibration, which includes the following specific steps: The calibrated radiation data at each moment in the area is obtained by taking the weight of the radiation data at each position at each moment and the radiation data of all positions at each moment; the calibrated radiation data at all moments in the area are formed into a set of sequences in chronological order, which are recorded as the corrected radiation data sequence of all positions.

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