Dynamic threshold evaluation method and system for detecting radiation leakage in real time

Abstract

The invention discloses a dynamic threshold value evaluation method and system for detecting radiation leakage in real time, and relates to the technical field of radiation detection, and the method comprises the steps: collecting radiation intensity data, determining a current emergency region according to the radiation intensity, and setting a corresponding threshold value for each emergency region; calculating the change rate of the radiation intensity; checking whether the radiation value exceeds a threshold value and whether the change rate exceeds a standard, and if the conditions are met, triggering an alarm; and adjusting the threshold according to the feedback. According to the invention, automatic optimization of the detection threshold in different radiation environments is ensured. According to the algorithm, by comparing real-time data with historical data and combining deviation analysis and emergency grade judgment, the detection sensitivity and response speed of the system are effectively improved, and an automatic threshold adjustment strategy is achieved.

Description

Technical Field

[0001] The present invention relates to the field of radiation detection technology, and in particular to a dynamic threshold evaluation method and system for real-time detection of radiation leakage. Background Art

[0002] Radiation leak detection is an important issue in nuclear safety and environmental protection. Traditional radiation detection methods usually use fixed thresholds to determine whether the radiation level exceeds the standard. Although this method is simple, it may not accurately reflect the changes in the actual radiation level in some cases, and it is easy to cause false alarms or missed alarms. False alarms may cause unnecessary panic and waste of resources, while missed alarms may bring serious safety hazards.

[0003] In recent years, with the advancement of computing technology, some advanced radiation detection algorithms have been proposed, aiming to improve the sensitivity and accuracy of detection in a smarter way. These algorithms usually include complex data processing and analysis steps, and can dynamically adjust the detection threshold according to environmental conditions and historical data. However, these algorithms often need to process a large amount of data, have high requirements for computing resources, and there is still room for improvement in the response speed in real-time applications.

[0004] Therefore, developing a new dynamic threshold algorithm that can quickly respond to real-time data changes and accurately control false alarms and missed alarms is of great significance for improving the efficiency and reliability of radiation detection. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is: how to solve the problem that the traditional radiation detection method uses a fixed standard (threshold) to judge whether the radiation exceeds the standard. Although this method is simple, it is sometimes not accurate enough and may cause false alarms or missed alarms. False alarms may cause unnecessary panic, while missed alarms may bring safety hazards.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a dynamic threshold evaluation method for real-time detection of radiation leakage, comprising: collecting radiation intensity data, determining the current emergency area according to the radiation intensity, and setting a corresponding threshold for each emergency area; calculating the rate of change of the radiation intensity; checking whether the radiation value exceeds the threshold and whether the rate of change exceeds the standard, and triggering an alarm if the conditions are met; and adjusting the threshold according to feedback.

[0008] As a preferred solution of the dynamic threshold evaluation method for real-time detection of radiation leakage described in the present invention, the radiation intensity data includes radiation data continuously monitored for a period of time, and the average value of the real-time radiation data points is calculated, which is expressed as:

[0009]

[0010] Among them, x i is the ith radiation intensity value in the sliding window, N is the number of data points in the window, μ 窗口 is the average value of radiation intensity; the standard deviation of real-time radiation data points is calculated as:

[0011]

[0012] Here, σ is the standard deviation.

[0013] As a preferred scheme of the dynamic threshold evaluation method for real-time detection of radiation leakage described in the present invention, wherein: the current emergency area is determined according to the radiation intensity, including setting three emergency areas: low-level emergency, medium-level emergency and high-level emergency, the low-level emergency area is a green area, the medium-level emergency area is a yellow area, and the high-level emergency area is a red area.

[0014] As a preferred solution of the dynamic threshold evaluation method for real-time detection of radiation leakage described in the present invention, the threshold includes comparing the real-time average radiation intensity with the historical average radiation intensity, calculating the deviation between the real-time data and the historical data, expressed as:

[0015] Δμ=μ 实时 -μ 历史

[0016] Among them, μ 实时 is the real-time average radiation intensity, μ 历史 is the historical average radiation intensity; when the deviation Δμ exceeds the preset critical value, the threshold adjustment coefficient is corrected and the detection threshold is dynamically adjusted.

[0017] As a preferred solution of the dynamic threshold evaluation method for real-time detection of radiation leakage described in the present invention, the dynamic adjustment of the detection threshold includes dynamically adjusting the final detection threshold according to the deviation of the real-time radiation intensity, which is expressed as:

[0018] T new =T 基准 +f(Δμ)×k 动态

[0019] Among them, T new is the final detection threshold, T 基准 is the reference threshold, f(Δμ) is the threshold dynamically adjusted according to the deviation Δμ, and k 动态 is the threshold adjustment coefficient; the threshold is dynamically adjusted according to the deviation Δμ as follows:

[0020] f(Δμ)=α·Δμ

[0021] Among them, α is the adjustment coefficient.

[0022] As a preferred solution of the dynamic threshold evaluation method for real-time detection of radiation leakage described in the present invention, the change rate includes the change rate of radiation intensity, which is defined as the change amount of radiation intensity per unit time, expressed as:

[0023]

[0024] Where R is the rate of change of radiation intensity, Δμ is the increment of radiation intensity, and Δt is the time increment.

[0025] As a preferred embodiment of the dynamic threshold assessment method for real-time detection of radiation leakage described in the present invention, the triggering alarm includes obtaining the final detection threshold of different areas according to the baseline threshold of different areas, obtaining the radiation intensity value thresholds a, b and the radiation intensity change rate thresholds a1, b1; if the radiation intensity value is greater than or equal to 0 and less than or equal to a, and the radiation intensity change rate is greater than b1, an alarm is issued and intervention is made; if the radiation intensity value is greater than a and less than or equal to b, and the radiation intensity change rate is greater than a1, an alarm is issued and intervention is made; if the radiation intensity value is greater than b, when the radiation intensity change rate is less than or equal to a1, and the radiation intensity value is below b, the red area is changed to a yellow area.

[0026] Another object of the present invention is to provide a system for a dynamic threshold evaluation method for real-time detection of radiation leakage, which can solve the problem of dynamic threshold evaluation for real-time detection of radiation leakage by constructing a dynamic threshold evaluation system for real-time detection of radiation leakage.

[0027] To solve the above technical problems, the present invention provides the following technical solutions: a dynamic threshold evaluation system for real-time detection of radiation leakage, comprising a data acquisition module, a change rate calculation module, an alarm module and a feedback adjustment module; the data acquisition module is used to collect radiation intensity data, determine the current emergency area according to the radiation intensity, and set a corresponding threshold for each emergency area; the change rate calculation module is used to calculate the change rate of the radiation intensity; the alarm module is used to check whether the radiation value exceeds the threshold and whether the change rate exceeds the standard, and trigger an alarm if the conditions are met; the feedback adjustment module is used to adjust the threshold according to the feedback.

[0028] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned dynamic threshold evaluation method for real-time detection of radiation leakage are implemented.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a dynamic threshold evaluation method for real-time detection of radiation leakage as described above.

[0030] The beneficial effects of the present invention are as follows: a dynamic threshold evaluation method for real-time detection of radiation leakage provided by the present invention ensures automatic optimization of the detection threshold under different radiation environments. The algorithm effectively improves the detection sensitivity and response speed of the system by comparing real-time data with historical data, and combines deviation analysis and emergency level determination, and realizes an automated threshold adjustment strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0032] Figure 1 A flowchart of a dynamic threshold evaluation method for real-time detection of radiation leakage is provided in accordance with a first embodiment of the present invention.

[0033] Figure 2 A structural diagram of a dynamic threshold evaluation system for real-time detection of radiation leakage provided by a second embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0035] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0036] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a dynamic threshold evaluation method for real-time detection of radiation leakage, including: collecting radiation intensity data, determining the current emergency area according to the radiation intensity, and setting a corresponding threshold for each emergency area; calculating the rate of change of the radiation intensity; checking whether the radiation value exceeds the threshold and whether the rate of change exceeds the standard, and triggering an alarm if the conditions are met; adjusting the threshold according to feedback.

[0037] S1. Collect radiation intensity data, determine the current emergency area based on the radiation intensity, and set corresponding thresholds for each emergency area.

[0038] Different methods are needed to judge data at different emergency levels of low and high radiation intensities. In the field of nuclear power, low emergency levels belong to the green zone, so the threshold response should be sensitive. Medium or high levels belong to the yellow or red zone, and the threshold response is relatively less sensitive. Then a large numerical range is used to judge the threshold. Therefore, it is necessary to define the upper and lower threshold intervals according to the radiation intensity (value and change speed).

[0039] Therefore, the dynamic threshold is determined by two parameters: the value itself and the speed at which the value changes.

[0040] The emergency level is divided into three levels, each corresponding to different detection sensitivity and response strategies:

[0041] Green Zone (low-level emergency):

[0042] This area corresponds to a situation where the radiation intensity is relatively low and changes slowly, which is a safe state. The system needs to maintain a high sensitivity to ensure that any potential radiation leakage can be captured.

[0043] Features: In this area, the system should be very sensitive to small changes in radiation intensity to avoid false alarms.

[0044] Strategy: Use smaller threshold changes to respond quickly to any increase in radiation levels.

[0045] Yellow area (intermediate emergency):

[0046] This area corresponds to the beginning of the rise in radiation intensity (generally, when a certain leakage occurs, our detector will detect an increase in the value. When it reaches a certain level, we will mark this place as a yellow zone. For example, if a leakage or maintenance work occurs, we ensure that the work of personnel is effectively managed). Therefore, the system should reduce fluctuations in sensitivity (because it is already a yellow zone, if it is frequently managed according to the green zone, or early warning is issued, the threshold is too sensitive) to avoid frequent alarms due to short-term drastic fluctuations.

[0047] Features: In this area, the system needs to reduce false alarms while ensuring safety. Therefore, the adjustment of the threshold should become relatively stable to avoid triggering alarms due to small fluctuations.

[0048] Strategy: The threshold range should be expanded to reduce the possibility of frequent alarm triggering while ensuring reliable response to significant changes.

[0049] Red Zone (High-Level Emergency):

[0050] This area corresponds to a situation where the radiation intensity is high and the rate of change is fast, which is a dangerous state. The system should adopt a more relaxed threshold change interval to ensure that the alarm is triggered only when there is a serious abnormality, to prevent unnecessary frequent alarms. (This place is already a red zone, and entry is definitely strictly restricted, so the threshold is not particularly important).

[0051] Features: In this area, the system needs to reduce sensitivity to avoid triggering too many alarms in a high noise environment.

[0052] Strategy: Use a larger threshold range to ensure that the alarm is triggered only when there is a significant change in radiation levels.

[0053] Get and calculate data values:

[0054] The algorithm continuously monitors radiation data for a period of time. Assuming a time window length is \(N\) (such as the past 10 minutes), the mean and standard deviation of N real-time radiation data points will be calculated.

[0055] Average radiation intensity μ 窗口 calculate:

[0056]

[0057] Among them, x i is the ith radiation intensity value in the sliding window, N is the number of data points in the window, μ 窗口 is the average value of radiation intensity.

[0058] Calculation of standard deviation σ:

[0059]

[0060] Here, σ is the standard deviation.

[0061] Reference threshold T 基准 Based on the statistical characteristics of historical data, the system first calculates a benchmark threshold:

[0062] T 基准 =μ 历史 +k 基准 ×σ 历史

[0063] Among them, k 基准 The base threshold adjustment factor is usually based on the initial calibration of the system.

[0064] Adaptive adjustment mechanism:

[0065] Real-time data deviation detection and correction:

[0066] The real-time radiation intensity μ 实时 With the reference threshold T基准 Compare and calculate the deviation between real-time data and historical data:

[0067] Δμ=μ 实时 -μ 历史

[0068] Among them, μ 实时 is the real-time average radiation intensity, μ 历史 is the historical average radiation intensity.

[0069] When the deviation Δμ exceeds a certain preset critical value, the system automatically corrects the threshold adjustment coefficient k, thereby dynamically adjusting the detection threshold.

[0070] Threshold adjustment: According to the deviation of real-time radiation intensity, the final detection threshold T is dynamically adjusted using the following formula: new :

[0071] T new =T 基准 +f(Δμ)×k 动态

[0072] Definition of function f(Δμ): This function can be a linear or nonlinear function, specifically used to dynamically adjust the threshold according to the deviation Δμ. It can be designed as:

[0073] f(Δμ)=α·Δμ

[0074] Among them, α is the adjustment coefficient, which is used to control the amplification or reduction of the deviation.

[0075] In order to flexibly adjust the threshold within these areas, the upper and lower threshold intervals can be defined based on the value and change rate of the radiation intensity. The change rate here refers to the increase or decrease of the radiation intensity within a certain period of time.

[0076] For the three emergency green, yellow, and red zones, the thresholds generally have three empirical value intervals 0-a, ab, and b, as shown in Table 1.

[0077] Table 1 Regional division table

[0078] area Threshold The rate at which the radiation value changes Green Area 0-a <![CDATA[0-a1, a1-b1, b1 are divided into three types]]> Yellow Area ab <![CDATA[0 - a1, a1 - b1, b1 are divided into three types]]> Red Zone b or more <![CDATA[0-a1, a1-b1, b1 are divided into three types]]>

[0079] S2. Calculate the rate of change of radiation intensity.

[0080] The rate of change of radiation intensity R is defined as the change of radiation intensity per unit time:

[0081]

[0082] Where R is the rate of change of radiation intensity, Δμ is the increment of radiation intensity, and Δt is the time increment.

[0083] This R is essentially the slope of the radiation change with respect to the time change. The present invention divides the slope change value, i.e., 0-a1, a1-b1, and b1, into three types according to 0-0.25, 0.25-0.5, and above 0.5, and implements threshold alarms for the three areas according to different rate changes.

[0084] S3. Check whether the radiation value exceeds the threshold and whether the rate of change exceeds the standard. If the conditions are met, an alarm is triggered.

[0085] The threshold alarm is triggered by two conditions, one is the threshold and the other is the rate of change, as shown in Table 2.

[0086]

[0087] If the radiation intensity value is greater than or equal to 0 and less than or equal to a, and the rate of change of the radiation intensity is greater than b1, an alarm is issued and intervention is carried out. If the radiation intensity value is greater than a and less than or equal to b, and the rate of change of the radiation intensity is greater than a1, an alarm is issued and intervention is carried out. If the radiation intensity value is greater than b, when the rate of change of the radiation intensity is less than or equal to a1 and the radiation intensity value is below b, the red area is changed to a yellow area.

[0088] S4. Adjust the threshold according to the feedback.

[0089] The value range of a and b in the table and the rate of change of radiation values ​​are constantly corrected by empirical values ​​and adjusted with the rate of change of values ​​to ensure the continuous cycle update of the algorithm and ultimately meet the management needs of the site.

[0090] The present invention proposes an innovative and adaptive detection scheme to ensure automatic optimization of the detection threshold in different radiation environments. The algorithm effectively improves the detection sensitivity and response speed of the system by comparing real-time data with historical data, and combines deviation analysis and emergency level determination, and realizes an automated threshold adjustment strategy.

[0091] Example 2, reference Figure 2 , which is the second embodiment of the present invention, is different from the previous embodiment in that it provides a dynamic threshold evaluation system for real-time detection of radiation leakage, including: a data acquisition module 100, a change rate calculation module 200, an alarm module 300 and a feedback adjustment module 400.

[0092] The data acquisition module 100 is used to collect radiation intensity data, determine the current emergency area according to the radiation intensity, and set a corresponding threshold for each emergency area.

[0093] The change rate calculation module 200 is used to calculate the change rate of the radiation intensity.

[0094] The alarm module 300 is used to check whether the radiation value exceeds the threshold value and whether the rate of change exceeds the standard, and trigger an alarm if the conditions are met.

[0095] The feedback adjustment module 400 is used to adjust the threshold according to the feedback.

[0096] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0097] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0098] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0099] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0100] Embodiment 3 is the third embodiment of the present invention. It is different from the first two embodiments in that it is used to verify the technical effects adopted in the present invention so as to verify the real effects of the method.

[0101] The traditional approach is to set a fixed threshold based on an average of historical data. Any reading above this threshold triggers an alarm.

[0102] This embodiment uses the traditional method and the method of the present invention to perform detection simultaneously, and evaluates the false alarm rate, missed alarm rate and response time of the method of the present invention and the traditional method.

[0103] The false alarm rate of the method of the present invention is 3%, which is significantly lower than the 7% of the fixed threshold of the traditional method, which shows that the method of the present invention is more effective in avoiding unnecessary alarms and waste of resources.

[0104] The false alarm rate of the method of the present invention is 2%, which is more accurate in detecting radiation leakage events than the 5% fixed threshold of the traditional method, thereby improving safety.

[0105] The response time of the method of the present invention is only 30 seconds, which is much faster than the 120 seconds of the traditional fixed threshold method, which means that a faster response can be made in an emergency.

[0106] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A dynamic threshold evaluation method for real-time detection of radiation leakage, characterized in that: include, Collect radiation intensity data, determine the current emergency area based on the radiation intensity, and set corresponding thresholds for each emergency area; Calculate the rate of change of radiation intensity; Check whether the radiation value exceeds the threshold and whether the rate of change exceeds the standard. If the conditions are met, an alarm is triggered; Adjust the threshold based on feedback.

2. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 1, characterized in that: The radiation intensity data includes radiation data continuously monitored for a period of time, and the average value of the real-time radiation data points is calculated, which is expressed as: Among them, x i is the ith radiation intensity value in the sliding window, N is the number of data points in the window, μ 窗口 is the average value of radiation intensity; The standard deviation of the real-time radiation data points is calculated as, Here, σ is the standard deviation.

3. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 2, characterized in that: Determining the current emergency area according to the radiation intensity includes setting three emergency areas: low-level emergency, medium-level emergency and high-level emergency. The low-level emergency area is a green area, the medium-level emergency area is a yellow area, and the high-level emergency area is a red area.

4. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 3, characterized in that: The threshold includes comparing the real-time average radiation intensity with the historical average radiation intensity, and calculating the deviation between the real-time data and the historical data, which is expressed as, Dm=m 实时 -m 历史 Among them, μ 实时 is the real-time average radiation intensity, μ 历史 is the historical average radiation intensity; When the deviation Δμ exceeds the preset critical value, the threshold adjustment coefficient is corrected and the detection threshold is dynamically adjusted.

5. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 4, characterized in that: The dynamic adjustment of the detection threshold includes dynamically adjusting the final detection threshold according to the deviation of the real-time radiation intensity, which is expressed as: T new =T 基准 +f(Dm)×k 动态 Among them, T new is the final detection threshold, T 基准 is the reference threshold, f(Δμ) is the threshold dynamically adjusted according to the deviation Δμ, and k 动态 is the threshold adjustment coefficient; Dynamically adjust the threshold according to the deviation Δμ as follows: f(Δμ)=α·Δμ Among them, α is the adjustment coefficient.

6. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 5, characterized in that: The rate of change includes the rate of change of radiation intensity, which is defined as the amount of change of radiation intensity per unit time, expressed as, Where R is the rate of change of radiation intensity, Δμ is the increment of radiation intensity, and Δt is the time increment.

7. A dynamic threshold evaluation method for real-time detection of radiation leakage according to claim 6, characterized in that: The triggering alarm includes obtaining the final detection threshold of different areas according to the benchmark thresholds of different areas, obtaining the radiation intensity value thresholds a, b and the radiation intensity change rate thresholds a1, b1; if the radiation intensity value is greater than or equal to 0 and less than or equal to a, and the radiation intensity change rate is greater than b1, an alarm is issued and intervention is made; if the radiation intensity value is greater than a and less than or equal to b, and the radiation intensity change rate is greater than a1, an alarm is issued and intervention is made; if the radiation intensity value is greater than b, when the radiation intensity change rate is less than or equal to a1, and the radiation intensity value is below b, the red area is changed to a yellow area.

8. A system using a dynamic threshold evaluation method for real-time detection of radiation leakage according to any one of claims 1 to 7, characterized in that: It comprises a data acquisition module (100), a change rate calculation module (200), an alarm module (300) and a feedback adjustment module (400); The data acquisition module (100) is used to collect radiation intensity data, determine the current emergency area according to the radiation intensity, and set a corresponding threshold for each emergency area; The change rate calculation module (200) is used to calculate the change rate of radiation intensity; The alarm module (300) is used to check whether the radiation value exceeds a threshold value, whether the rate of change exceeds a standard, and trigger an alarm if the conditions are met; The feedback adjustment module (400) is used to adjust the threshold value according to the feedback.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a dynamic threshold evaluation method for real-time detection of radiation leakage according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a dynamic threshold evaluation method for real-time detection of radiation leakage according to any one of claims 1 to 7 are implemented.

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