Area radiation monitor and ionizing radiation monitoring method

Abstract

The present application relates to the technical field of ionizing radiation measurement, and particularly relates to a regional radiation monitor and an ionizing radiation monitoring method, which comprises the following steps: obtaining the radiation energy value, the environmental temperature value and the environmental humidity value of each monitoring point in each sampling moment in a radiation monitoring region, determining the relative radiation energy value of each monitoring point in each sampling moment, determining the radiation level and the radiation energy fluctuation factor of each monitoring point, determining the radiation grade of the monitoring region corresponding to each monitoring point, clustering the monitoring regions corresponding to all monitoring points according to the difference between the radiation grades of the monitoring regions corresponding to any two monitoring points, obtaining several radiation cluster regions, obtaining the radiation risk degree of each radiation cluster region, and dividing the risk of each radiation cluster region. The present application can improve the effectiveness and accuracy of radiation monitoring by accurately dividing the risk of each monitoring region.

Description

Technical Field

[0001] This invention relates to the field of ionizing radiation measurement technology, specifically to a regional radiation monitoring instrument and a method for monitoring ionizing radiation. Background Technology

[0002] A regional radiation monitoring instrument is a device used to monitor and measure radiation levels within a specific area. It is commonly used in nuclear power plants, radiation sites, medical institutions (such as radiotherapy rooms), and environmental monitoring stations to ensure environmental and personnel safety. Therefore, setting up multiple radiation monitoring instruments within an area to determine radiation levels at different locations is an important process. Real-time monitoring and data analysis can quickly identify radiation risks and protect public health and safety.

[0003] Currently, when monitoring ionizing radiation in different regions using regional radiation monitoring instruments, the radiation risk level of the corresponding region is generally assessed by analyzing the real-time radiation energy intensity. However, some low-radiation areas may experience irregular and sudden high-radiation events. Since these sudden high-radiation events account for a small proportion of the overall monitoring time scale, existing assessment methods may not be able to identify these areas as high-risk areas, leading to inaccurate regional radiation detection and endangering public health. Summary of the Invention

[0004] This invention provides a regional radiation monitoring instrument and an ionizing radiation monitoring method to solve existing problems.

[0005] The regional radiation monitoring instrument and ionizing radiation monitoring method of the present invention adopt the following technical solution:

[0006] One embodiment of the present invention provides a method for monitoring regional ionizing radiation, the method comprising the following steps:

[0007] The radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area are obtained at each sampling time; each monitoring point corresponds to a monitoring area.

[0008] Based on the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point at each sampling time, the relative radiation energy value of each monitoring point at each sampling time is determined; based on the relative radiation energy values ​​of all monitoring points at all sampling times, the radiation level of each monitoring point is determined.

[0009] The radiation energy fluctuation factor of each monitoring point is determined based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times; the radiation level of the monitoring area corresponding to each monitoring point is determined based on the radiation energy fluctuation factor and radiation level of each monitoring point.

[0010] Based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, the monitoring areas corresponding to all monitoring points are clustered to obtain several radiation cluster areas. Based on the radiation levels and areas of the monitoring areas corresponding to all monitoring points within each radiation cluster area, the radiation hazard level of each radiation cluster area is determined. Based on the radiation hazard level of each radiation cluster area, the risk is classified for each radiation cluster area.

[0011] Furthermore, the specific steps for determining the relative radiant energy value of each monitoring point at each sampling time are as follows:

[0012] Calculate the first The monitoring point at the 1st The ratio of the ambient temperature to the ambient humidity at each sampling time is used as the first ratio. The inverse proportional normalized value of the first ratio is then calculated and compared with the value at the second sampling time. The monitoring point at the 1st The product of the radiant energy values ​​at the sampling time is used as the product of the radiant energy values ​​at the sampling time. The monitoring point at the 1st The relative radiative energy value at each sampling time.

[0013] Furthermore, the specific steps for determining the radiation level at each monitoring point are as follows:

[0014] Calculate the first The monitoring point at the 1st The normalized value of the difference between the relative radiant energy value at the sampling time and the preset relative radiant energy threshold is used as the first sampling time. The monitoring point at the 1st The first difference at the sampling time is used to calculate the... The mean of the first differences of each monitoring point at all sampling times is taken as the first mean;

[0015] Calculate the first The average of the relative radiant energy values ​​of each monitoring point at all sampling times is taken as the first... The second mean of all monitoring points is calculated, and the maximum value among the second means of all monitoring points is used as the maximum threshold. The maximum threshold is then subtracted from the value of the second mean of all monitoring points. The inversely proportional normalized value of the difference between the second means of the monitoring points is taken as the second difference;

[0016] Based on the first mean and the second difference, determine the first... Radiation levels at each monitoring point.

[0017] Furthermore, the determination of the first The specific steps involved in determining the radiation levels at each monitoring point are as follows:

[0018] Calculate the product of the first mean and the second difference, as the first... Radiation levels at each monitoring point.

[0019] Furthermore, the specific steps for determining the radiation energy fluctuation factor at each monitoring point are as follows:

[0020] Using the first derivative method, we obtain the... The local extreme values ​​of relative radiation energy values ​​at all sampling times of each monitoring point are calculated. The mean of the absolute values ​​of the differences between the relative radiation energy values ​​corresponding to all two adjacent local extreme values ​​is used as the third mean. The mean of the time intervals between the sampling times corresponding to all two adjacent local extreme values ​​is used as the fourth mean.

[0021] Based on the third and fourth means, determine the... Radiation energy fluctuation factor at each monitoring point.

[0022] Furthermore, the determination of the first The specific steps involved in determining the radiation energy fluctuation factor at each monitoring point are as follows:

[0023] The ratio of the third mean to the fourth mean is taken as the third... Radiation energy fluctuation factor at each monitoring point.

[0024] Furthermore, the specific steps for determining the radiation level of the monitoring area corresponding to each monitoring point are as follows:

[0025] The first The radiation level at the monitoring point was similar to that at the first monitoring point. The normalized value of the product of the radiation energy fluctuation factors at each monitoring point is used as the first... The radiation level of the monitoring area corresponding to each monitoring point.

[0026] Furthermore, the specific steps for determining the radiation hazard level of each radiation cluster region are as follows:

[0027] Calculate the first The average radiation level of the monitoring area corresponding to all monitoring points within the radiation cluster region is taken as the fifth mean. This fifth mean is then compared with the fifth mean... The normalized value of the product of the total areas of the nth radiation cluster regions is used as the nth The degree of radiation risk in each radiation cluster area.

[0028] Furthermore, the specific steps for risk classification of each radiation cluster region are as follows:

[0029] When the When the radiation hazard level of a radiation cluster region is greater than or equal to a preset first threshold, the first... Each radiation cluster area is designated as a high-risk area;

[0030] When the When the radiation hazard level of a radiation cluster region is less than a preset first threshold and greater than a preset second threshold, the radiation cluster region will be... Each radiation cluster area is designated as a medium-risk area;

[0031] When the When the radiation hazard level of a radiation cluster region is less than or equal to a preset second threshold, the first... Each radiation cluster area is designated as a low-risk area.

[0032] Embodiments of the present invention provide a regional radiation monitoring instrument, which includes: a data acquisition module, a radiation level determination module, a radiation grade determination module, and a risk classification module, wherein:

[0033] The data acquisition module is used to acquire the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time; each monitoring point corresponds to a monitoring area.

[0034] The radiation level determination module is used to determine the relative radiation energy value of each monitoring point at each sampling time based on the radiation energy value, ambient temperature value, and ambient humidity value at each sampling time; and to determine the radiation level of each monitoring point based on the relative radiation energy values ​​of all monitoring points at all sampling times.

[0035] The radiation level determination module is used to determine the radiation energy fluctuation factor of each monitoring point based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times; and to determine the radiation level of the monitoring area corresponding to each monitoring point based on the radiation energy fluctuation factor and radiation level of each monitoring point.

[0036] The risk classification module is used to cluster the monitoring areas corresponding to all monitoring points based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, resulting in several radiation cluster areas; determine the radiation hazard level of each radiation cluster area based on the radiation levels and areas of the monitoring areas corresponding to all monitoring points within each radiation cluster area; and classify the risk of each radiation cluster area based on the radiation hazard level of each radiation cluster area.

[0037] The beneficial effects of the technical solution of the present invention are:

[0038] In this embodiment of the invention, the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time are obtained to determine the relative radiation energy value of each monitoring point at each sampling time, thereby determining the radiation level and radiation energy fluctuation factor of each monitoring point, and further determining the radiation level of the monitoring area corresponding to each monitoring point. This optimizes the problem that the assessment results of radiation hazard level based on radiation monitoring in different areas may be inaccurate due to sudden high radiation events. By determining the real-time relative radiation energy of different areas, the corresponding radiation level and energy fluctuation factor are calculated, and then the radiation level is determined by combining the radiation level and energy fluctuation factor of the corresponding area, thus taking into account the fluctuation characteristics of radiation when assessing the radiation hazard level of an area. Based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, the monitoring areas corresponding to all monitoring points are clustered to obtain several radiation cluster areas. The radiation hazard level of each radiation cluster area is obtained, and risk classification is performed for each radiation cluster area. Thus, by clustering based on radiation level similarity, the effectiveness and accuracy of radiation monitoring are improved, which helps to protect public health and safety. In conclusion, this invention improves the effectiveness and accuracy of radiation monitoring by accurately classifying the risks of each monitoring area. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the steps of a regional ionizing radiation monitoring method according to the present invention.

[0041] Figure 2 This is a block diagram of a regional radiation monitoring instrument according to the present invention. Detailed Implementation

[0042] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a regional radiation monitoring instrument and ionizing radiation monitoring method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0043] Unless otherwise defined, 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 pertains.

[0044] The following description, in conjunction with the accompanying drawings, details the specific scheme of the regional radiation monitoring instrument and ionizing radiation monitoring method provided by the present invention.

[0045] Please see Figure 1 The diagram illustrates a flowchart of a regional ionizing radiation monitoring method according to an embodiment of the present invention, which includes the following steps:

[0046] Step S001: Obtain the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time; each monitoring point corresponds to a monitoring area.

[0047] This embodiment optimizes the problem that the assessment of radiation monitoring based on different regions may be inaccurate due to the possibility of sudden high radiation events. By analyzing the radiation level and energy fluctuations of different monitoring areas during the sampling period, and using clustering methods to assess the risk coefficient of the corresponding clustered areas, the effectiveness and accuracy of radiation monitoring are improved.

[0048] Multiple monitoring points are evenly set up in any radiation monitoring area, and a regional radiation monitoring instrument is installed at each monitoring point. Within the same sampling period, the radiation energy value, ambient temperature value and ambient humidity value of each monitoring point at each sampling time are obtained.

[0049] It should be noted that in this embodiment, monitoring points are uniformly set up in the radiation monitoring area using a grid method. That is, the radiation monitoring area is evenly divided into several local areas using a grid method, with each local area's center serving as a monitoring point where a regional radiation monitoring instrument is placed. Therefore, each monitoring point corresponds to a monitoring area (a local area within the radiation monitoring area). The regional radiation monitoring instrument can monitor the radiation level within a certain range. Therefore, when setting up monitoring points, it is necessary to ensure that the total monitoring area of ​​all regional radiation monitoring instruments can cover the entire radiation monitoring area. Simultaneously, temperature and humidity sensors are integrated into the regional radiation monitoring instruments to acquire ambient temperature and humidity data at corresponding times. By analyzing the radiation data from different monitoring points and environmental factors, the radiation risk level at different locations within the monitoring area is determined. In this embodiment, the sampling period is set to 30 days, and the sampling interval is 30 minutes. This is used as an example for description. Furthermore, in this embodiment, the radiation energy value, ambient temperature value, and ambient humidity value are normalized using the min-max normalization method to ensure that the dimensions of these three dimensions are consistent. This is a well-known technique, and the specific method will not be described here.

[0050] Step S002: Based on the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point at each sampling time, determine the relative radiation energy value of each monitoring point at each sampling time; based on the relative radiation energy values ​​of all monitoring points at all sampling times, determine the radiation level of each monitoring point.

[0051] When assessing the radiation risk level of a monitored area based on multiple regional radiation monitoring instruments, some areas may experience sudden radiation events, causing frequent fluctuations in radiation energy within the corresponding monitoring range. However, current assessment methods may not be able to measure these radiation energy change characteristics, resulting in inaccurate assessment results. Therefore, this embodiment analyzes the radiation energy fluctuations within different monitoring ranges and combines them with radiation energy levels to comprehensively assess the radiation risk level of the monitored area, thereby improving the effectiveness and accuracy of radiation monitoring and helping to protect public health and safety.

[0052] To assess the radiation hazard level of the monitored area, it is first necessary to determine the radiation level within the corresponding range based on the real-time radiation energy obtained from the regional radiation monitoring instrument, which can more intuitively measure the radiation level of the area. However, since the temperature and humidity vary in different monitoring ranges, and these differences affect the radiation energy, the radiation energy values ​​obtained from different monitoring ranges are not at the same environmental level. Therefore, to avoid this situation and improve the accuracy of subsequent calculations, the radiation energy values ​​from different monitoring ranges are brought to the same environmental level.

[0053] Preferably, in one embodiment of the present invention, the method for obtaining the radiation level at each monitoring point includes:

[0054] With the first The first monitoring point Taking the sampling time as an example, calculate the first sampling time. The monitoring point at the 1st The ratio of the ambient temperature to the ambient humidity at each sampling time is used as the first ratio. The inverse proportional normalized value of the first ratio is then calculated and compared with the value at the second sampling time. The monitoring point at the 1st The product of the radiant energy values ​​at the sampling time is used as the product of the radiant energy values ​​at the sampling time. The monitoring point at the 1st The relative radiative energy value at each sampling time.

[0055] It should be noted that the first ratio is denoted as... Then use As The inverse proportional normalized value, where, This embodiment uses an exponential function with the natural constant as its base. To present The inverse proportional relationship and normalization processing are described, and implementers can set the inverse proportional function and normalization function according to the actual situation. Since higher temperatures increase the propagation level of radiation, while increased humidity decreases the propagation level of radiation, therefore... The larger the value, the greater the deviation of the radiation energy value at the corresponding moment. Therefore, it is used... By adjusting the radiation energy values ​​to obtain relative radiation energy values, the radiation energy values ​​at different monitoring points are brought to the same environmental level, ensuring the accuracy of subsequent analysis.

[0056] In this embodiment, the preset relative threshold of radiation energy is 20 millisieverts (mSv), which will be used as an example for description.

[0057] With the first Taking the monitoring point as an example, calculate the first monitoring point. The monitoring point at the 1st The normalized value of the difference between the relative radiant energy value at the sampling time and the preset relative radiant energy threshold is used as the first sampling time. The monitoring point at the 1st The first difference at the sampling time is used to calculate the... The mean of the first differences of each monitoring point at all sampling times is used as the first mean to calculate the... The average of the relative radiant energy values ​​of each monitoring point at all sampling times is taken as the first... The second mean of all monitoring points is calculated, and the maximum value among the second means of all monitoring points is used as the maximum threshold. The maximum threshold is then subtracted from the value of the second mean of all monitoring points. The inversely proportional normalized value of the difference between the second means of the monitoring points is used as the second difference. The product of the first mean and the second difference is calculated as the second difference. Radiation levels at each monitoring point.

[0058] It should be noted that: the first The monitoring point at the 1st The difference between the relative radiant energy value at each sampling time and the preset relative radiant energy threshold is denoted as . ,use Linear normalization function, used to... Normalize to between 0 and 1. Subtract the maximum threshold from the [missing value]. The difference between the second means of the monitoring points is denoted as . Then use As The inversely proportional normalized value. When the first mean is large, it indicates that the second mean is large. The relative radiation energy value of the first monitoring point exceeded the preset relative radiation energy threshold, i.e., the first... The higher the radiation level at the first monitoring point, the larger the difference in the second, indicating that the first... The closer the relative radiation energy value of a monitoring point is to the highest relative radiation energy value in the radiation monitoring area, that is, the closer the relative radiation energy value of the monitoring point is to the highest relative radiation energy value in the radiation monitoring area. The higher the radiation level at each monitoring point, the better. Therefore, the product of the first mean and the second difference is used as the value for the [missing value]. The radiation levels at each monitoring point are used to assess the radiation risk level in subsequent areas.

[0059] Step S003: Determine the radiation energy fluctuation factor of each monitoring point based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times; determine the radiation level of the monitoring area corresponding to each monitoring point based on the radiation energy fluctuation factor and radiation level of each monitoring point.

[0060] In actual monitoring, some monitoring areas may experience sudden radiation events, such as medical radiation accidents or laboratory radioactive source leaks. Therefore, this situation needs to be taken into account when assessing the radiation risk level of the corresponding area. That is, if a sudden radiation event occurs in a certain area, and the overall radiation level of the area is higher, then the corresponding area is at greater risk of radiation, thereby improving the effectiveness and accuracy of radiation monitoring.

[0061] Therefore, it is necessary to determine the probability of a sudden radiation event occurring within the sampling period based on the real-time relative radiation energy at different monitoring points. Since sudden radiation will cause significant fluctuations in the real-time radiation energy of the corresponding area, and the frequency of these fluctuations is relatively high, the probability of a sudden radiation event occurring within the corresponding monitoring range can be determined by analyzing the fluctuation characteristics of the relative radiation energy at different monitoring points within the sampling period.

[0062] Preferably, in one embodiment of the present invention, the method for obtaining the radiation level of the monitoring area corresponding to each monitoring point includes:

[0063] With the first Taking the first monitoring point as an example, the first derivative method is used to obtain the... The local extrema of the relative radiative energy values ​​at all sampling times for each monitoring point. The first derivative method is a well-known technique, and its specific method will not be described here.

[0064] Calculate the absolute value of the difference between the relative radiant energy values ​​corresponding to two adjacent local extrema. Then calculate the mean of the absolute values ​​of the differences between the relative radiant energy values ​​corresponding to all adjacent local extrema, and use this as the third mean. Calculate the time interval between the sampling times corresponding to two adjacent local extrema, and then calculate the mean of the time intervals between the sampling times corresponding to all adjacent local extrema, and use this as the fourth mean. The ratio of the third mean to the fourth mean is used as the third... Radiation energy fluctuation factor at each monitoring point.

[0065] It should be noted that the third mean reflects the... The average fluctuation amplitude of the real-time relative radiation energy sequence at each monitoring point is considered. A larger third mean indicates a larger amplitude of fluctuating radiation energy in the sequence, and a larger corresponding energy fluctuation factor. The fourth mean reflects the... The average fluctuation frequency of the real-time relative radiation energy sequence at each monitoring point corresponds to the fourth mean. A larger fourth mean indicates a lower fluctuation frequency, meaning lower energy fluctuation and a smaller energy fluctuation factor. Therefore, a larger ratio of the third to the fourth mean indicates greater energy fluctuation.

[0066] Therefore, a larger radiation energy fluctuation factor corresponds to a greater degree of radiation energy fluctuation, and thus a greater likelihood of a sudden radiation event occurring at the corresponding monitoring point. To accurately assess the degree of radiation hazard within different monitoring ranges, it is necessary to combine the radiation level and radiation energy fluctuation factor within that range to determine the radiation level of the corresponding area. If both data are relatively large within a certain monitoring range, it indicates a greater degree of radiation impact within that monitoring area, and consequently, a greater degree of radiation hazard.

[0067] The first The radiation level at the monitoring point was similar to that at the first monitoring point. The normalized value of the product of the radiation energy fluctuation factors at each monitoring point is used as the first... The radiation level of the monitoring area corresponding to each monitoring point.

[0068] It should be noted that the normalized value of this product uses... A linear normalization function is used to normalize the product to a value between 0 and 1. A higher radiation level corresponds to a higher degree of radiation risk, and a lower radiation level corresponds to a lower degree of radiation risk.

[0069] Using the above method, Tiger obtains the radiation levels of the monitoring areas corresponding to all monitoring points in the radiation monitoring area.

[0070] Step S004: Based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, cluster the monitoring areas corresponding to all monitoring points to obtain several radiation cluster areas; determine the radiation hazard level of each radiation cluster area based on the radiation levels and areas of the monitoring areas corresponding to all monitoring points within each radiation cluster area; classify the risk of each radiation cluster area based on the radiation hazard level of each radiation cluster area.

[0071] It is important to note that the actual radiation monitoring area is much larger than the area covered by a single monitoring point. Therefore, there may be multiple scenarios with similar radiation levels within similar monitoring ranges. In order to more accurately assess the radiation status of the monitoring area, clustering methods are needed. Based on the radiation levels of different monitoring ranges, clusters are formed, grouping monitoring ranges with similar radiation levels into one category, thus obtaining multiple radiation clusters. Each radiation cluster has similar radiation levels and a similar degree of radiation impact.

[0072] Preferably, in one embodiment of the present invention, the method for obtaining the radiation hazard level of each radiation cluster region includes:

[0073] The absolute value of the difference between the radiation levels of the monitoring areas corresponding to any two monitoring points is used as the clustering distance between the monitoring areas corresponding to those two monitoring points. The K-means clustering algorithm is used to cluster the monitoring areas corresponding to all monitoring points to obtain several radiation cluster areas.

[0074] It should be noted that the optimal number of clusters required by the K-means clustering algorithm is obtained using the elbow method. Both the K-means clustering algorithm and the elbow method are well-known techniques, and the specific methods will not be introduced here.

[0075] Since different radiation clusters correspond to different radiation level classifications, the degree of radiation hazard in a radiation cluster can be determined based on the radiation level corresponding to different monitoring ranges in different radiation clusters.

[0076] First, the level of radiation determines the degree of radiation impact on the corresponding area. The higher the overall radiation level of the monitoring range in a radiation cluster area, the higher the risk of radiation in that area. At the same time, the more detection points a radiation cluster area contains, i.e., the larger the area, the wider the radiation dispersion, and the higher the risk level.

[0077] With the first Taking the first radiation cluster region as an example, calculate the first... The average radiation level of the monitoring area corresponding to all monitoring points within the radiation cluster region is taken as the fifth mean. This fifth mean is then compared with the fifth mean... The normalized value of the product of the total areas of the nth radiation cluster regions is used as the nth The degree of radiation risk in each radiation cluster area.

[0078] It should be noted that the normalized value of this product uses... A linear normalization function is used to normalize the product to a value between 0 and 1. The total area of ​​the radiative cluster region is the _th The sum of the areas of the monitoring areas corresponding to all monitoring points within a radiation cluster region.

[0079] Preferably, in one embodiment of the present invention, the method for obtaining the risk classification results for each radiation cluster region includes:

[0080] The first threshold is preset to 0.7 and the second threshold is preset to 0.4. This will be used as an example for explanation.

[0081] When the When the radiation hazard level of a radiation cluster region is greater than or equal to a preset first threshold, the first... Each radiation cluster area is designated as a high-risk area.

[0082] When the When the radiation hazard level of a radiation cluster region is less than a preset first threshold and greater than a preset second threshold, the radiation hazard level of the first radiation cluster region will be... Each radiation cluster area is designated as a medium-risk area.

[0083] When the When the radiation hazard level of a radiation cluster region is less than or equal to a preset second threshold, the first... Each radiation cluster area is designated as a low-risk area.

[0084] Risk classification is performed for each radiation cluster region in the manner described above.

[0085] It should be noted that, given limited resources, priority should be given to meeting the needs of high-risk areas, ensuring sufficient protective resources. Medium-risk areas should be prioritized, and resources for low-risk areas can be temporarily allocated from other areas in special circumstances, ensuring flexibility and efficiency. Different regions need to establish a collaborative emergency response mechanism so that resources from neighboring areas can be mobilized to support a radiation accident in one region. Simultaneously, higher-level departments should have a comprehensive grasp of the risk levels and protective resource conditions of each region to ensure efficient resource allocation during major events. In this embodiment, when calculating the ratio, if the denominator is 0, it is set to 1 to ensure the ratio has meaning; this is used as an example for explanation.

[0086] Secondly, please refer to Figure 2 It illustrates a regional radiation monitoring instrument that includes the following modules:

[0087] The data acquisition module is used to acquire the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time; each monitoring point corresponds to a monitoring area.

[0088] The radiation level determination module is used to determine the relative radiation energy value of each monitoring point at each sampling time based on the radiation energy value, ambient temperature value, and ambient humidity value at each sampling time; and to determine the radiation level of each monitoring point based on the relative radiation energy values ​​of all monitoring points at all sampling times.

[0089] The radiation level determination module is used to determine the radiation energy fluctuation factor of each monitoring point based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times; and to determine the radiation level of the monitoring area corresponding to each monitoring point based on the radiation energy fluctuation factor and radiation level of each monitoring point.

[0090] The risk classification module is used to cluster the monitoring areas corresponding to all monitoring points based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, resulting in several radiation cluster areas; determine the radiation hazard level of each radiation cluster area based on the radiation levels and areas of the monitoring areas corresponding to all monitoring points within each radiation cluster area; and classify the risk of each radiation cluster area based on the radiation hazard level of each radiation cluster area.

[0091] This invention is now complete.

[0092] In summary, in this embodiment of the invention, the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time are obtained to determine the relative radiation energy value of each monitoring point at each sampling time, thereby determining the radiation level and radiation energy fluctuation factor of each monitoring point, and further determining the radiation level of the monitoring area corresponding to each monitoring point. Based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, the monitoring areas corresponding to all monitoring points are clustered to obtain several radiation cluster areas. The radiation hazard level of each radiation cluster area is obtained, and risk classification is performed for each radiation cluster area. This invention improves the effectiveness and accuracy of radiation monitoring by accurately classifying the risks of each monitoring area.

[0093] 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 within the protection scope of the present invention.

Claims

1. A method for monitoring regional ionizing radiation, characterized in that, The method includes the following steps: The radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area are obtained at each sampling time; each monitoring point corresponds to a monitoring area. Based on the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point at each sampling time, the relative radiation energy value of each monitoring point at each sampling time is determined; based on the relative radiation energy values ​​of all monitoring points at all sampling times, the radiation level of each monitoring point is determined. The radiation energy fluctuation factor of each monitoring point is determined based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times; the radiation level of the monitoring area corresponding to each monitoring point is determined based on the radiation energy fluctuation factor and radiation level of each monitoring point. Based on the difference in radiation levels between the monitoring areas corresponding to any two monitoring points, the monitoring areas corresponding to all monitoring points are clustered to obtain several radiation cluster areas; based on the radiation levels and areas of the monitoring areas corresponding to all monitoring points within each radiation cluster area, the radiation hazard level of each radiation cluster area is determined; based on the radiation hazard level of each radiation cluster area, the risk is classified for each radiation cluster area. The specific steps for determining the radiation level at each monitoring point are as follows: Calculate the first The monitoring point at the 1st The normalized value of the difference between the relative radiant energy value at the sampling time and the preset relative radiant energy threshold is used as the first sampling time. The monitoring point at the 1st The first difference at the sampling time is used to calculate the... The mean of the first differences of each monitoring point at all sampling times is taken as the first mean; Calculate the first The average of the relative radiant energy values ​​of each monitoring point at all sampling times is taken as the first... The second mean of all monitoring points is calculated, and the maximum value among the second means of all monitoring points is used as the maximum threshold. The maximum threshold is then subtracted from the value of the second mean of all monitoring points. The inversely proportional normalized value of the difference between the second means of the monitoring points is taken as the second difference; Calculate the product of the first mean and the second difference, as the first... Radiation levels at each monitoring point; The specific steps for determining the radiation energy fluctuation factor at each monitoring point are as follows: Using the first derivative method, we obtain the... The local extreme values ​​of relative radiation energy values ​​at all sampling times of each monitoring point are calculated. The mean of the absolute values ​​of the differences between the relative radiation energy values ​​corresponding to all two adjacent local extreme values ​​is used as the third mean. The mean of the time intervals between the sampling times corresponding to all two adjacent local extreme values ​​is used as the fourth mean. The ratio of the third mean to the fourth mean is taken as the third... Radiation energy fluctuation factor at each monitoring point; The specific steps for determining the radiation level of the monitoring area corresponding to each monitoring point are as follows: The first The radiation level at the monitoring point was similar to that at the first monitoring point. The normalized value of the product of the radiation energy fluctuation factors at each monitoring point is used as the first... The radiation level of the monitoring area corresponding to each monitoring point.

2. The method for monitoring regional ionizing radiation according to claim 1, characterized in that, The specific steps for determining the relative radiant energy value of each monitoring point at each sampling time are as follows: Calculate the first The monitoring point at the 1st The ratio of the ambient temperature to the ambient humidity at each sampling time is used as the first ratio. The inverse proportional normalized value of the first ratio is then calculated and compared with the value at the second sampling time. The monitoring point at the 1st The product of the radiant energy values ​​at the sampling time is used as the product of the radiant energy values ​​at the sampling time. The monitoring point at the 1st The relative radiative energy value at each sampling time.

3. The method for monitoring regional ionizing radiation according to claim 1, characterized in that, The specific steps involved in determining the radiation hazard level of each radiation cluster region are as follows: Calculate the first The average radiation level of the monitoring area corresponding to all monitoring points within the radiation cluster region is taken as the fifth mean. This fifth mean is then compared with the fifth mean... The normalized value of the product of the total areas of the nth radiation cluster regions is used as the nth The degree of radiation risk in each radiation cluster area.

4. The regional ionizing radiation monitoring method according to claim 3, characterized in that, The specific steps involved in risk classification for each radiation cluster region are as follows: When the When the radiation hazard level of a radiation cluster region is greater than or equal to a preset first threshold, the first... Each radiation cluster area is designated as a high-risk area; When the When the radiation hazard level of a radiation cluster region is less than a preset first threshold and greater than a preset second threshold, the radiation hazard level of the first radiation cluster region will be... Each radiation cluster area is designated as a medium-risk area; When the When the radiation hazard level of a radiation cluster region is less than or equal to a preset second threshold, the first... Each radiation cluster area is designated as a low-risk area.

5. A regional radiation monitoring instrument, employing a regional ionizing radiation monitoring method as described in any one of claims 1-4, characterized in that, The radiation monitoring instrument in this area includes the following modules: The data acquisition module is used to acquire the radiation energy value, ambient temperature value, and ambient humidity value of each monitoring point in the radiation monitoring area at each sampling time; each monitoring point corresponds to a monitoring area. The radiation level determination module is used to determine the relative radiation energy value of each monitoring point at each sampling time based on the radiation energy value, ambient temperature value, and ambient humidity value at each sampling time; and to determine the radiation level of each monitoring point based on the relative radiation energy values ​​of all monitoring points at all sampling times. The radiation level determination module is used to determine the radiation energy fluctuation factor of each monitoring point based on the local extreme values ​​of the relative radiation energy values ​​at all sampling times. The radiation level of the monitoring area corresponding to each monitoring point is determined based on the radiation energy fluctuation factor and radiation level of each monitoring point. The risk classification module is used to cluster the monitoring areas corresponding to all monitoring points based on the difference between the radiation levels of the monitoring areas corresponding to any two monitoring points, and obtain several radiation cluster areas. The degree of radiation hazard in each radiation cluster area is determined based on the radiation level and area of ​​the monitoring area corresponding to all monitoring points within each radiation cluster area. Each radiation cluster region is classified into risk levels based on the degree of radiation hazard it faces.

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