Radiation dose monitoring method, device and system

Abstract

The present application relates to the field of radiation dose monitoring technology, and specifically to a radiation dose monitoring method, device, and system. The method includes: obtaining radiation dose data from a flaw detection room, as well as temperature and humidity data in the environment; obtaining the influence coefficient of the degree of linear fluctuation of radiation dose data due to changes in ambient temperature and humidity, and then obtaining the influence coefficient of radiation dose monitoring due to changes in ambient temperature and humidity; calculating the degree of irregular fluctuation of radiation dose caused by equipment operation, and obtaining the influence coefficient of the equipment start-up and shutdown frequency and time interval, and combining the discrete degree of all radiation dose data to obtain the significance value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring, and adjusting the step size factor in the radiation dose monitoring data filtering process to obtain radiation dose monitoring results. The present application can improve the accuracy of radiation dose data monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of radiation dose monitoring, and in particular to a radiation dose monitoring method, device and system. Background Art

[0002] Radiation also has potential hazards. Excessive radiation exposure can cause serious damage to human health and the ecological environment. Therefore, accurate and effective radiation dose monitoring is crucial to ensuring public safety, maintaining the safe operation of nuclear facilities, and protecting the environment. Nondestructive testing by X-ray has become an important means to ensure the safety of equipment operation. The X-ray generated by the flaw detector during operation Radiation can cause harm to workers, and it is necessary to measure the radiation levels at different locations around the outdoors. Radiation monitoring is used to ensure environmental safety. The dose level outside the NDT room is relatively low. Environmental factors such as temperature fluctuations, humidity changes, and electromagnetic interference can interfere with monitoring equipment, making measurements at low dose levels and in complex environments prone to errors. Furthermore, the operating status of the NDT machine can cause fluctuations in radiation dose.

[0003] During the detection process, existing methods fail to fully consider irregular changes caused by environmental factors and interference from the operating status of the equipment, resulting in a certain deviation between the radiation dose detection results and the actual level, making the reliability of radiation dose monitoring insufficient. Publication No. CN116009053B describes a distributed regional radiation dose monitoring system and monitoring method, which uses radiation probes to monitor radiation doses. Based on the radiation doses obtained from the monitoring, situation cloud map analysis is performed in combination with meteorological data to obtain the situation of radionuclides and nuclear accident areas. In terms of radiation dose monitoring, the influence of environmental changes and other factors is not fully considered, resulting in deviations in the detection of radiation doses and the problem of insufficient stability of monitoring results. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a radiation dose monitoring method, device and system. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a radiation dose monitoring method, comprising the following steps:

[0006] Obtain radiation dose data of the inspection room, as well as temperature and humidity data of the environment;

[0007] Analyze the linear relationship and change trend between the radiation dose data in the non-working state of the flaw detection room and the temperature and humidity, and obtain the influence coefficients of the linear fluctuation degree of the radiation dose data affected by the ambient temperature and humidity changes. Set weights based on the temperature and humidity change trends to obtain the influence coefficient of the radiation dose monitoring affected by the ambient temperature and humidity changes.

[0008] The irregular fluctuation degree of radiation dose caused by equipment operation is obtained by analyzing the peak width range corresponding to the peak in the radiation dose data during the working period of the inspection room and the degree of fluctuation in the amplitude of the peak and trough. Then, the influence coefficient of the equipment start-stop frequency and time interval is obtained by combining the time interval between adjacent peaks and the number of peaks in the radiation dose data.

[0009] Using the influence coefficients of environmental temperature and humidity changes on radiation dose monitoring and the influence coefficients of equipment start-up and shutdown frequency and time interval, and combining the discrete degree of all radiation dose data, the significance value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring is obtained;

[0010] According to the significant value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring, the step factor in the radiation dose monitoring data filtering process is adjusted to obtain the radiation dose monitoring results.

[0011] Preferably, the method for obtaining the influence coefficient of the linear fluctuation degree of the radiation dose data due to the change of ambient humidity is:

[0012] Perform linear fitting on the humidity data and radiation dose data during a preset period of time when the flaw detection room is not in operation, and obtain a fitting straight line of humidity-radiation dose data;

[0013] According to the coefficient of determination of the fitted straight line and the slope , calculate the influence coefficient of linear fluctuation degree of radiation dose data due to changes in ambient humidity : ,in Represents the base 10 logarithm function.

[0014] Preferably, the method for obtaining the influence coefficient of the radiation dose monitoring on the changes of ambient temperature and humidity is:

[0015] Where F is the influence coefficient of radiation dose monitoring affected by changes in ambient temperature and humidity, C and D are the influence coefficients of the degree of linear fluctuation of radiation dose data affected by changes in ambient humidity and temperature, respectively. are the influence weights of ambient humidity and temperature respectively.

[0016] Preferably, the test statistics of humidity data and temperature data in a preset period of time when the flaw detection room is not in operation are calculated, which are recorded as E1 and E2 respectively. Then, the influence weights of ambient humidity and temperature are calculated as follows: , .

[0017] Preferably, the method for obtaining the degree of irregular fluctuation of radiation dose caused by the operation of the equipment is: extracting the peaks and troughs in the radiation dose data during the working period of the flaw detection room, counting the mean of the extreme differences of all peaks within their peak width range, and calculating the mean of the difference between the corresponding radiation dose data of all adjacent peaks and troughs, and taking the cumulative sum of the two means as the degree of irregular fluctuation of radiation dose caused by the operation of the equipment.

[0018] Preferably, the method for obtaining the influence coefficient of the start-stop frequency and time interval of the equipment is:

[0019] , L is the influence coefficient of the equipment start-stop frequency and time interval, H is the degree of irregular fluctuation of radiation dose caused by equipment operation, M is the total number of peaks in the radiation dose data during the working period of the NDT room, and P is the mean time interval between all adjacent peaks in the radiation dose data during the working period of the NDT room.

[0020] Preferably, the method for obtaining the significant value of the comprehensive influence of environmental changes and equipment operating status on the radiation dose monitoring is:

[0021] Where Q is the significant value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring, F is the influence coefficient of environmental temperature and humidity changes on radiation dose monitoring, and L is the influence coefficient of equipment start-stop frequency and time interval. is the standard deviation of all radiation dose data.

[0022] Preferably, the step size factor in the radiation dose monitoring data filtering process is adjusted, including:

[0023] The comprehensive impact significance value is statistically normalized, a step factor adjustment range is preset, and the difference between the maximum and minimum values ​​in the adjustment range is multiplied by the normalized value as the step factor for radiation dose data filtering.

[0024] In a second aspect, an embodiment of the present application also provides a radiation dose monitoring device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the radiation dose monitoring methods described above are implemented.

[0025] In a third aspect, an embodiment of the present application further provides a radiation dose monitoring system, wherein a computer program is stored in the system, and when the computer program is executed by a processor, any one of the radiation dose monitoring methods described above is implemented.

[0026] As can be seen from the above, the radiation dose monitoring method, device and system provided by this application have at least the following beneficial effects:

[0027] This application deeply analyzes the characteristics of the degree to which the surrounding radiation dose is affected by changes in ambient temperature and humidity under different working conditions of the flaw detection room, as well as the impact of equipment start-up and shutdown on the overall state change of the radiation dose. Its advantage is that it reduces the interference of environmental changes and equipment operating status during radiation dose monitoring, and calculates the significant value of the combined impact of environmental changes and equipment operating status on radiation dose monitoring by combining the influence characteristics of the two. It further filters and corrects the collected radiation dose data, which helps to improve the reliability of radiation dose monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0029] Figure 1 This is a flowchart of the steps of a radiation dose monitoring method provided in this application. DETAILED DESCRIPTION

[0030] To further illustrate the technical means and effectiveness of this application to achieve the intended invention objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a radiation dose monitoring method, device, and system proposed in this application, including its specific implementation, structure, features, and effectiveness. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0031] Unless otherwise specified and limited, terms such as "comprises", "includes" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the article or device comprising the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs.

[0032] The following describes in detail a radiation dose monitoring method, device and system provided by the present application with reference to the accompanying drawings.

[0033] See also Figure 1 , which shows a flowchart of a radiation dose monitoring method provided by an embodiment of the present application, including the following steps:

[0034] Step 1: Obtain the radiation dose data of the inspection room, as well as the temperature and humidity data of the environment.

[0035] In industrial production, in order to ensure environmental safety, it is necessary to monitor the radiation dose status generated in the flaw detection room. Due to the complex production environment, the dose data detected is easily affected by electromagnetic interference, temperature changes, and humidity changes, and there is a deviation from the actual radiation dose data. In addition, the radiation dose generated when the flaw detector is in working state is Radiation can cause large changes in radiation dose. For example, after entering the working state, the radiation dose outside the flaw detection room will rise rapidly in a short period of time. When the working state is switched to the non-working state, the dose will gradually decrease, but due to the attenuation and scattering process of the radiation in the air, the dose drop may not be as rapid as the increase, and it will take a certain amount of time to return to a level close to the non-working state. Under the influence of the above factors, the detected radiation dose data shows irregular fluctuations to varying degrees. Therefore, in this embodiment, the monitoring accuracy is improved by deeply analyzing the impact of environmental changes and the working state of the equipment on the radiation dose, and correcting the detected dose data.

[0036] First, preferably, this embodiment takes the radiation dose monitoring around the flaw detector room in industrial production as an example, and installs the detector in four directions outside the flaw detector room and about 35m away from the flaw detector. The dose detector collects radiation dose data in real time. Environmental changes may affect the monitoring of radiation dose. For example, changes in humidity will affect the density and composition of the air, thereby changing the propagation characteristics of rays in the air. Temperature may affect the performance of the internal components of the detector, increasing the uncertainty of the monitoring results. For this reason, this embodiment collects humidity data and temperature data in real time through humidity sensors and temperature sensors. The time interval for collecting the above data is set to 1 second. So far, the data at each moment has been obtained. Radiation dose data, humidity data and temperature data.

[0037] Step 2: Analyze the linear change relationship and change trend between the radiation dose data and temperature and humidity in the non-working state of the flaw detection room, obtain the influence coefficients of the linear fluctuation degree of the radiation dose data affected by the ambient temperature and humidity changes, and set weights based on the change trends of temperature and humidity to obtain the influence coefficient of radiation dose monitoring affected by the ambient temperature and humidity changes.

[0038] When not in operation, the radiation dose around the inspection room is mainly affected by changes in ambient temperature and humidity. Fluctuations in humidity will change the density and composition of the air, thereby affecting the propagation characteristics of the radiation in the air. When the humidity rises, the air The absorption and scattering of the rays are enhanced, resulting in the detection of Changes in radiation intensity affect the accuracy of radiation dose measurements. Furthermore, detector performance has specific temperature requirements. The internal semiconductor detector may experience decreased sensitivity and increased noise at low temperatures, while at high temperatures, it may face increased dark current and slow response. These factors will weaken the detector's ability to detect radiation and its measurement accuracy. Furthermore, radiation dose data may exhibit a certain degree of linear variation with changes in temperature and humidity. The corresponding degree of linear variation reflects the degree of impact of environmental changes on dose detection. These influencing characteristics are then analyzed in a non-operating state.

[0039] First, analyze the correlation between the short-term radiation dose data in the non-operating state of the flaw detection room and the temperature data and humidity data. Preferably, in this embodiment, the radiation dose data of a period of time when the flaw detection room is not operating and the flaw detection machine stops operating for a certain period of time is obtained from the historical data. In this embodiment, the length of the preset time period is set to 30 minutes. The obtained radiation dose changes in this period are not affected by the operation, and the main factor of its fluctuation comes from environmental changes. Therefore, the following processing is performed based on this period of dose data:

[0040] Taking the impact of humidity changes as an example, scattered data on the relationship between radiation dose and humidity changes are obtained based on the humidity data and radiation dose data collected at each moment. To evaluate the linear relationship between humidity and radiation dose, this embodiment uses the least squares method to perform a linear fit on the scattered data to obtain a fitted line for the humidity-radiation dose data. The coefficient of determination of the fitted line is then calculated, denoted as A, with A ranging from [0, 1]. The obtained coefficient of determination reflects the goodness of fit between the radiation dose data and the humidity data. The slope of the fitted line is denoted as B, which reflects the degree to which the radiation dose changes with humidity.

[0041] The influence coefficient C of the linear fluctuation degree of radiation dose data due to changes in ambient humidity is calculated using the formula: ,in, represents a logarithmic function with base 10, which is used to avoid excessive slope and thus limit the range of C. The obtained C reflects the influence of linear fluctuation degree of radiation dose monitoring under non-working state due to changes in ambient humidity.

[0042] Regarding the influence of ambient temperature changes, the same steps as above can be used to calculate the influence coefficient of the linear fluctuation degree of radiation dose data affected by ambient temperature changes in the same period, and record it as D.

[0043] The degree of influence of changes in ambient temperature and humidity on radiation dose monitoring also varies. Generally, the more significant the change in temperature or humidity, the greater the corresponding degree of influence. In order to integrate the above-mentioned influence characteristics of temperature and humidity changes, this embodiment sets the influence weights of temperature and humidity based on the change trend characteristics of temperature and humidity during this period. The Mankendall trend test algorithm is further used to obtain the test statistics of humidity data and temperature data during this period, which are recorded as E1 and E2. The formula for calculating the influence coefficient of radiation dose monitoring affected by ambient temperature and humidity changes is as follows: In the formula, F is the influence coefficient of radiation dose monitoring affected by changes in ambient temperature and humidity, C and D are the influence coefficients of the degree of linear fluctuation of radiation dose data affected by changes in ambient humidity and temperature, respectively. are the influence weights of ambient humidity and temperature, respectively. The calculation methods of the influence weights of ambient humidity and temperature are: , The obtained F reflects the degree of influence of the corresponding linear fluctuations of radiation dose monitoring under non-working conditions due to changes in ambient temperature and humidity.

[0044] Step 3: Obtain the irregular fluctuation degree of radiation dose caused by equipment operation through the peak width range corresponding to the peak in the radiation dose data during the working period of the inspection room and the degree of fluctuation of the amplitude of the peak and trough. Then, combine the time interval between adjacent peaks and the number of peaks in the radiation dose data to obtain the influence coefficient of the equipment start-stop frequency and time interval.

[0045] In addition, the flaw detector is working Radiation dose fluctuations caused by radiation are even more significant. After entering operational mode, the radiation dose outside the NDT room rises rapidly within a short period of time as the radiation source activates and releases radiation. However, when the NDT work is completed and the radiation source ceases operation, the radiation dose outside the NDT room does not decrease immediately due to the residual effects of radiation in the air and the equipment itself. Instead, it decreases slowly, gradually returning to a level close to that of the non-operating state over time. During this radiation dose reduction process, the NDT room may resume operation, resulting in high-frequency, irregular fluctuations in the overall radiation dose data, exacerbating the uncertainty of radiation dose data collection. Therefore, we further analyze the impact of radiation dose fluctuations caused by equipment operation.

[0046] Furthermore, the data changes in the radiation dose in the NDT room during the NDT operation period were analyzed. Starting from the time a particular NDT room began operating, the radiation dose data for N hours of continuous operation were obtained, where N could be an integer in the range [5, 8]. An automatic multi-scale peak detection algorithm was then used to detect the peaks and troughs in this radiation dose data. The greater the amplitude of fluctuations between peaks and troughs and the higher the frequency of peaks, the more significantly the radiation dose status was affected by the NDT operation. Therefore, the mean of the extreme values ​​of all peaks within their peak widths was calculated, and the mean of the differences in the corresponding radiation dose data between adjacent peaks and troughs was calculated. The sum of these two means was used as the degree of irregular radiation dose fluctuation caused by equipment operation, denoted as H. This H reflects the irregular fluctuation characteristics of the radiation dose data under operation due to equipment operation.

[0047] Furthermore, the time difference between the corresponding peak points of all adjacent peaks is counted, and combined with the irregular fluctuation of radiation dose caused by equipment operation, the influence coefficient formula of equipment start-stop frequency and time interval is calculated as follows: , L is the influence coefficient of the equipment start-up and shutdown frequency and time interval, H is the degree of irregular fluctuation of radiation dose caused by equipment operation, M is the total number of peaks in the radiation dose data during the working period of the flaw detection room. The larger M is, the more frequent the radiation dose fluctuation caused by the start-up and shutdown of the flaw detection machine. P is the mean of the time intervals between all adjacent peaks in the radiation dose data during the working period of the flaw detection room. The smaller P is, the more frequent the radiation dose data fluctuation caused by the start-up and shutdown of the flaw detection machine. The obtained L reflects the degree to which the radiation dose change is affected by the equipment start-up and shutdown frequency and time interval.

[0048] Step 4: Based on the influence coefficient of environmental temperature and humidity changes on radiation dose monitoring, as well as the influence coefficient of equipment start-up and shutdown frequency and time interval, and combined with the discrete degree of all radiation dose data, obtain the significance value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring.

[0049] When the device is operating, its operation is the primary factor affecting radiation dose variations; when it is not operating, environmental changes are the primary factor affecting radiation dose. However, regardless of operating or non-operating state, environmental changes consistently affect radiation dose. Therefore, during radiation dose monitoring, it is important to comprehensively consider the influencing characteristics of environmental factors and equipment operating conditions to ensure the accuracy and reliability of monitoring results.

[0050] In addition, the short-term random fluctuation of the radiation dose data itself reflects the abnormal jitter characteristics of the radiation dose changes caused by multiple factors. Therefore, in this embodiment, for the radiation dose data within the current acquisition time, the standard deviation of all radiation dose data is obtained and recorded as , set the current acquisition time to 10 minutes. Further, the formula for obtaining the significant value of the comprehensive impact of environmental changes and equipment operating status on radiation dose monitoring is: Where Q is the significant value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring, F is the influence coefficient of environmental temperature and humidity changes on radiation dose monitoring, and L is the influence coefficient of equipment start-stop frequency and time interval. is the standard deviation of all radiation dose data. The larger the Q, the greater the combined impact of environmental changes and equipment operating status on radiation dose monitoring, and the more pronounced the random jitter characteristics of the radiation dose.

[0051] Step 5: According to the significant value of the comprehensive impact of environmental changes and equipment operating status on radiation dose monitoring, the step factor in the radiation dose monitoring data filtering process is adjusted to obtain the radiation dose monitoring results.

[0052] This example analyzes the degree to which ambient radiation dose is affected by changes in ambient temperature and humidity under different operating conditions in the NDT room, as well as the impact of equipment startup and shutdown on overall radiation dose changes. The results calculate the significance of the combined impact of environmental changes and equipment operating conditions on radiation dose monitoring, reflecting the combined external influence and random jitter characteristics of radiation dose changes. These fluctuations can cause a certain deviation between radiation dose detection results and the actual level.

[0053] To improve the accuracy and reliability of data acquisition, this embodiment uses the LMS (Least Mean Squares) algorithm to filter and correct the radiation dose data of the current data acquisition time. At the same time, this embodiment optimizes the step factor in the LMS algorithm based on the significant value of the combined influence of environmental changes and equipment operating status on radiation dose monitoring. If the significant value of the combined influence of environmental changes and equipment operating status on the radiation dose monitoring is larger, it means that the degree of comprehensive influence of the external environment on the radiation dose change is greater, and its own random jitter is more obvious. A larger step factor should be set during filtering to accelerate the convergence of the algorithm. Conversely, a smaller step factor can be set to improve the stability of the algorithm. Under normal circumstances, the setting adjustment range of the step factor is [0.01, 0.1]. The step factor is optimized and adjusted according to the significant value of the comprehensive influence combined with the preset adjustment range.

[0054] Preferably, this embodiment uses the tanh function to normalize the significant value of the combined influence of environmental changes and equipment operating status on radiation dose monitoring, and the adjustment amplitude in this embodiment is the difference between the maximum and minimum values ​​in the adjustment range. , and the normalized result is compared with The product of 0.01 and the adjustment amount is used as the adjustment amount, and the sum of 0.01 and the adjustment amount is used as the step factor parameter of the LMS algorithm. Then, the radiation dose data within the current data collection time is filtered and corrected to obtain more accurate radiation dose data results. This helps to improve the reliability of radiation dose monitoring.

[0055] Based on the same inventive concept as the above method, an embodiment of the present application also provides a radiation dose monitoring device, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned radiation dose monitoring methods are implemented.

[0056] At the same time, an embodiment of the present application also provides a radiation dose monitoring system, in which a computer program is stored, and when the computer program is executed by a processor, any one of the radiation dose monitoring methods described above is implemented.

[0057] It should be understood that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0058] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0059] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the scope of protection of the present application.

Claims

1. A radiation dose monitoring method, characterized in that: The following steps are involved: Obtain radiation dose data of the inspection room, as well as temperature and humidity data of the environment; Analyze the linear relationship and change trend between the radiation dose data in the non-working state of the flaw detection room and the temperature and humidity, and obtain the influence coefficients of the linear fluctuation degree of the radiation dose data affected by the ambient temperature and humidity changes. Set weights based on the temperature and humidity change trends to obtain the influence coefficient of the radiation dose monitoring affected by the ambient temperature and humidity changes. The irregular fluctuation degree of radiation dose caused by equipment operation is obtained by analyzing the peak width range corresponding to the peak in the radiation dose data during the working period of the inspection room and the degree of fluctuation in the amplitude of the peak and trough. Then, the influence coefficient of the equipment start-stop frequency and time interval is obtained by combining the time interval between adjacent peaks and the number of peaks in the radiation dose data. Using the influence coefficients of environmental temperature and humidity changes on radiation dose monitoring and the influence coefficients of equipment start-up and shutdown frequency and time interval, and combining the discrete degree of all radiation dose data, the significance value of the comprehensive influence of environmental changes and equipment operating status on radiation dose monitoring is obtained; According to the significant value of the combined influence of environmental changes and equipment operating status on radiation dose monitoring, the step size factor in the radiation dose monitoring data filtering process is adjusted to obtain the radiation dose monitoring results; The step size factor in the radiation dose monitoring data filtering process is adjusted, including: The comprehensive impact significance value is statistically normalized, a step factor adjustment range is preset, and the difference between the maximum and minimum values ​​in the adjustment range is multiplied by the normalized value as the step factor for radiation dose data filtering.

2. A radiation dose monitoring method according to claim 1, characterized in that: The method for obtaining the influence coefficient of the linear fluctuation degree of radiation dose data due to changes in ambient humidity is as follows: Perform linear fitting on the humidity data and radiation dose data during a preset period of time when the flaw detection room is not in operation, and obtain a fitting straight line of humidity-radiation dose data; Based on the coefficient A and slope B of the fitting line, the influence coefficient C of the linear fluctuation of the radiation dose data due to the change of ambient humidity is calculated: C = A × log 10 (1+|B|), where log 10 () represents the logarithmic function with base 10.

3. A radiation dose monitoring method according to claim 1, characterized in that: The method for obtaining the influence coefficient of the radiation dose monitoring on the changes of ambient temperature and humidity is as follows: F = ×C + ×D; where F is the influence coefficient of radiation dose monitoring affected by changes in ambient temperature and humidity, C and D are the influence coefficients of the degree of linear fluctuation of radiation dose data affected by changes in ambient humidity and temperature, respectively. 、 are the influence weights of ambient humidity and temperature respectively.

4. A radiation dose monitoring method according to claim 3, characterized in that: Calculate the test statistics of humidity data and temperature data in the preset period when the flaw detection room is not working, and record them as E1 and E2 respectively. The calculation methods of the influence weights of ambient humidity and temperature are as follows: , .

5. The radiation dose monitoring method according to claim 1, wherein: The method for obtaining the degree of irregular fluctuation of radiation dose caused by the operation of the equipment is as follows: extracting the peaks and troughs in the radiation dose data during the working period of the flaw detection room, counting the mean of the extreme differences of all peaks within their peak widths, and calculating the mean of the differences in the corresponding radiation dose data between all adjacent peaks and troughs, and taking the cumulative sum of the two means as the degree of irregular fluctuation of radiation dose caused by the operation of the equipment.

6. A radiation dose monitoring method according to claim 1, characterized in that: The method for obtaining the influence coefficient of the equipment start-stop frequency and time interval is as follows: , L is the influence coefficient of the equipment start-stop frequency and time interval, H is the degree of irregular fluctuation of radiation dose caused by equipment operation, M is the total number of peaks in the radiation dose data during the working period of the NDT room, and P is the mean time interval between all adjacent peaks in the radiation dose data during the working period of the NDT room.

7. A radiation dose monitoring method according to claim 1, characterized in that: The method for obtaining the significant value of the comprehensive influence of environmental changes and equipment operating status on the radiation dose monitoring is as follows: Q = (L+F)×σ; where Q is the significant value of the combined impact of environmental changes and equipment operating status on radiation dose monitoring, F is the influence coefficient of environmental temperature and humidity changes on radiation dose monitoring, L is the influence coefficient of the equipment start-up and shutdown frequency and time interval, and σ is the standard deviation of all radiation dose data.

8. A radiation dose monitoring device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the radiation dose monitoring method according to any one of claims 1 to 7 are implemented.

9. A radiation dose monitoring system, wherein a computer program is stored in the system, characterized in that: When the computer program is executed by a processor, a radiation dose monitoring method as described in any one of claims 1 to 7 is implemented.

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