A data recording storage method, device and medium of a regional radiation monitor

Abstract

This invention relates to the field of radiation monitoring data storage technology, specifically to a data recording and storage method, device, and medium for regional radiation monitoring instruments. The method includes: acquiring the radiation intensity, temperature, and humidity at each radiation monitoring instrument within a radiation area; evaluating the environmental interference level of each radiation monitoring instrument at each moment based on the instantaneous changes in temperature and humidity at each moment, and the degree of influence of temperature and humidity factors on the radiation intensity; obtaining the radiation deviation index of each radiation monitoring instrument at each moment based on the abrupt changes in radiation intensity at each monitoring instrument, the relative distance between different radiation monitoring instruments, and the environmental interference level; determining the radiation anomaly index of each radiation monitoring instrument at each moment by combining the relative changes in radiation intensity and the radiation deviation index of each radiation monitoring instrument; and storing the data corresponding to the radiation monitoring instruments. This invention improves the data storage quality of radiation monitoring instruments.

Description

Technical Field

[0001] This invention relates to the field of radiation monitoring data storage technology, specifically to a data recording and storage method, device, and medium for a regional radiation monitoring instrument. Background Technology

[0002] A regional radiation monitor is an instrument capable of monitoring and alarming the radiation content within a designated area. It is typically used in radiation-exposed work environments such as cyclotron accelerator centers, nuclear medicine departments, and radiotherapy departments. Regional radiation monitors not only provide real-time monitoring and alarms for the work area but also ensure the traceability of the monitoring data. High-quality monitoring data is crucial for supporting scientific decision-making and event tracing. Therefore, developing a storage method that can verify data validity and improve data quality is of great significance for ensuring personnel safety and enhancing data quality.

[0003] Current technologies for recording and storing data collected by radiation monitoring instruments typically only perform preliminary cleaning and preprocessing before direct storage. However, these technologies do not adequately consider the impact of transient environmental interference and the coupling of radiation characteristics, thus failing to effectively identify and eliminate abnormal data generated by environmental coupling interference, potentially leading to the erroneous storage of abnormal data. Storing abnormal data not only degrades the quality of the stored data but also affects the accuracy of subsequent data traceability. Summary of the Invention

[0004] To address the issue of low data quality from radiation monitoring instruments stored using existing methods, this invention aims to provide a data recording and storage method, device, and medium for regional radiation monitoring instruments. The specific technical solution adopted is as follows:

[0005] In a first aspect, the present invention provides a data recording and storage method for a regional radiation monitoring instrument, the method comprising the following steps:

[0006] Obtain radiation intensity, temperature, and humidity at each radiation monitoring instrument within the radiation area;

[0007] The environmental interference level of each radiation monitoring instrument at each moment is evaluated based on the instantaneous changes in temperature and humidity at each moment, as well as the degree of influence of temperature and humidity factors on radiation intensity. The radiation deviation index of each radiation monitoring instrument at each moment is obtained based on the sudden changes in radiation intensity at each radiation monitoring instrument, the relative distance between different radiation monitoring instruments, and the environmental interference level.

[0008] By combining the relative changes in radiation intensity of each radiation monitor at each moment with the radiation deviation index, the radiation anomaly index of each radiation monitor at each moment is determined.

[0009] The data corresponding to the radiation monitoring instrument is stored based on the radiation anomaly index.

[0010] Preferably, the acquisition of the instantaneous temperature change at each radiation monitoring instrument at each moment includes: taking the absolute difference between the temperature at each radiation monitoring instrument at each moment and the temperature at the previous moment as the instantaneous temperature change at each radiation monitoring instrument at each moment.

[0011] The acquisition of the instantaneous change in humidity at each radiation monitoring instrument at each moment includes: taking the absolute difference between the humidity at each radiation monitoring instrument at each moment and the humidity at the previous moment as the instantaneous change in humidity at each radiation monitoring instrument at each moment.

[0012] Preferably, the evaluation of the environmental interference level of each radiation monitoring instrument at each moment, based on the instantaneous changes in temperature and humidity at each radiation monitoring instrument and the degree of influence of temperature and humidity factors on radiation intensity, includes:

[0013] For any radiation monitoring instrument:

[0014] At any given moment, the product of the influence of the temperature factor of any radiation monitoring instrument on the radiation intensity and the instantaneous change of the temperature of any radiation monitoring instrument at that time is recorded as the temperature characteristic value; the product of the influence of the humidity factor of any radiation monitoring instrument on the radiation intensity and the instantaneous change of the humidity of any radiation monitoring instrument at that time is recorded as the humidity characteristic value.

[0015] The absolute value of the sum of the normalized results of the temperature characteristic value and the normalized results of the humidity characteristic value is determined as the environmental interference degree of any radiation monitoring instrument at any time.

[0016] The degree of influence of temperature on radiation intensity is the regression coefficient between the temperature sequence and the radiation intensity sequence of any radiation monitor; wherein, the temperature sequence is a sequence of temperatures within a preset time period;

[0017] The degree of influence of humidity on radiation intensity is the regression coefficient between the humidity sequence and the radiation intensity sequence of any radiation monitoring instrument within a preset time period; wherein, the humidity sequence is a sequence composed of humidity within the preset time period.

[0018] Preferably, the step of obtaining the radiation deviation index of each radiation monitoring instrument at each moment based on the abrupt changes in radiation intensity at each radiation monitoring instrument, the relative distance between different radiation monitoring instruments, and the environmental interference level includes:

[0019] For any radiation monitoring instrument:

[0020] Sort the radiation intensity of any radiation monitor at all times within a preset time period in chronological order to obtain a radiation intensity sequence; obtain the first-order difference sequence of the radiation intensity sequence;

[0021] The difference in radiation intensity between a candidate moment and its adjacent previous moment within a preset time period of any radiation monitor is determined as the radiation mutation value of the candidate moment.

[0022] The radiation abrupt change value at any candidate moment of the radiation monitor and the first-order difference sequence are used as... The input to the criterion outlier detection algorithm is if the radiation mutation value at any candidate time of the radiation monitor is within... If the radiation is outside the specified range, then any of the radiation monitors at the candidate time is determined to be a mutation monitor, and the mutation confidence factor of any of the radiation monitors at the candidate time is set to a preset first value; if the radiation mutation value of any of the radiation monitors at the candidate time is within the specified range... Within the range, the change confidence factor of any candidate moment of the radiation monitor is set to a preset second value, wherein the preset first value is greater than the preset second value;

[0023] For each candidate time, the radiation monitor with the largest radiation mutation value is designated as the origin monitor; the Euclidean distance between each mutation monitor and the origin monitor's GPS coordinates is obtained, and all mutation monitors are sorted in ascending order of Euclidean distance to obtain the initial monitor sequence; the monitors in the initial monitor sequence are deduplicated to obtain the target monitor sequence.

[0024] Based on the Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence and the radiation mutation value of the mutation monitor, the first distance of any radiation monitor at the candidate time is obtained;

[0025] The radiation deviation index of any candidate radiation monitor is obtained based on the abrupt change confidence factor of any candidate radiation monitor, the number of candidate abrupt change monitors, the first distance, and the environmental interference degree of any candidate radiation monitor.

[0026] The candidate time is any time within a preset time period.

[0027] Preferably, obtaining the first distance of any radiation monitor at the candidate time based on the Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence and the radiation mutation value of the mutation monitor includes:

[0028] The Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence is used as the x-axis, and the radiation mutation value of the mutation monitor in the target monitor sequence is used as the y-axis to perform curve fitting to obtain the fitted curve.

[0029] The shortest distance between the radiation mutation value at a candidate time of any radiation monitor and the fitted curve is recorded as the first distance of any radiation monitor at the candidate time.

[0030] Preferably, the step of obtaining the radiation deviation index of any candidate radiation monitoring instrument based on the abrupt change confidence factor of any candidate radiation monitoring instrument, the number of candidate time abrupt change monitoring instruments, the first distance, and the environmental interference degree of any candidate radiation monitoring instrument includes:

[0031] If the number of candidate time change monitoring devices is greater than 1 and any one of the radiation monitoring devices is a change monitoring device at the candidate time, then the first ratio between the first distance of the any one of the radiation monitoring devices at the candidate time and the number of candidate time change monitoring devices is calculated, and the product of the environmental interference degree of the any one of the radiation monitoring devices at the candidate time and the first ratio is used as the radiation deviation index of the any one of the radiation monitoring devices at the candidate time; otherwise, the product between the environmental interference degree of the any one of the radiation monitoring devices at the candidate time and the positive correlation mapping result of the change confidence factor of the any one of the radiation monitoring devices at the candidate time is used as the radiation deviation index of the any one of the radiation monitoring devices at the candidate time.

[0032] Preferably, determining the radiation anomaly index of each radiation monitor at each moment by combining the relative change in radiation intensity of each radiation monitor at each moment with the radiation deviation index includes:

[0033] For any radiation monitoring instrument:

[0034] The difference between the radiation intensity at a candidate moment and the radiation intensity at the next moment is recorded as the first difference; the difference between the radiation intensity at the previous moment and the radiation intensity at the candidate moment is recorded as the second difference.

[0035] The maximum value among the first difference, the second difference, and 0 is recorded as the first characteristic value;

[0036] The sum of the normalized value of the radiation deviation index at any candidate moment of the radiation monitor and the normalized value of the first feature value is taken as the radiation anomaly index at any candidate moment of the radiation monitor.

[0037] Preferably, storing the data corresponding to the radiation monitoring instrument based on the radiation anomaly index includes:

[0038] The radiation anomaly index is input into the trained SVM classifier to determine whether the data at the corresponding time point is anomalous. If the data at the corresponding time point is not anomalous, it is stored.

[0039] In a second aspect, the present invention provides a data recording and storage device for a regional radiation monitoring instrument, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method described in the first aspect.

[0040] Thirdly, the present invention also provides a data recording and storage medium for a regional radiation monitoring instrument, for storing a computer program that causes a computer to execute the method described in the first aspect.

[0041] The present invention has at least the following beneficial effects:

[0042] This invention first evaluates the environmental interference level of a single radiation monitoring instrument at each instant based on the instantaneous changes in temperature and humidity at each moment, as well as the degree of influence of temperature and humidity factors on radiation intensity. Then, considering the possibility of interfering radiation between different radiation monitoring instruments within the same area, it further assesses the radiation anomaly at each moment by combining the abrupt changes in radiation intensity at each monitoring instrument and the relative distance between them, obtaining a radiation anomaly index. This index is then used to determine whether the corresponding data should be stored. The method provided by this invention improves the accuracy of anomaly data assessment and ensures the storage quality of radiation monitoring instrument data. Attached Figure Description

[0043] To more clearly illustrate the technical solutions and advantages 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.

[0044] Figure 1 This is a flowchart illustrating a data recording and storage method for a regional radiation monitoring instrument provided in an embodiment of the present invention. Detailed Implementation

[0045] To further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the following detailed description, in conjunction with the accompanying drawings and preferred embodiments, describes a data recording and storage method, device, and medium for a regional radiation monitoring instrument according to the present invention.

[0046] 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.

[0047] The following description, in conjunction with the accompanying drawings, details a specific scheme for a data recording and storage method, device, and medium for a regional radiation monitoring instrument provided by the present invention.

[0048] An embodiment of a data recording and storage method for a regional radiation monitoring instrument:

[0049] This embodiment proposes a data recording and storage method for a regional radiation monitoring instrument, such as... Figure 1 As shown, a data recording and storage method for a regional radiation monitoring instrument in this embodiment includes the following steps:

[0050] Step S1: Obtain the radiation intensity, temperature, and humidity at each radiation monitoring instrument within the radiation area.

[0051] The radiation monitoring master station is a key device responsible for collecting, transmitting, analyzing, recording, and storing radiation dose and environmental data within the region. When processing the collected data, it is necessary to filter out normal data and then store it.

[0052] This embodiment uses a single radiation area as an example for illustration; the method provided in this embodiment can be applied to other radiation areas. First, a predetermined number of radiation monitoring instruments are evenly placed within the radiation area, and the GPS coordinate data of each instrument is acquired through the radiation monitoring master station. In this embodiment, the predetermined number is 16; in specific applications, the implementer can set this number according to specific circumstances. Next, each radiation monitoring instrument collects real-time data on radiation intensity, temperature, and humidity at its location. All radiation monitoring instruments collect data synchronously and in real-time, with a collection interval of 1 second; in specific applications, the implementer can set the data collection frequency according to specific circumstances.

[0053] Thus far, this embodiment has collected the radiation intensity, temperature, and humidity at each radiation monitoring instrument within the radiation area.

[0054] Step S2: Evaluate the environmental interference level of each radiation monitoring instrument at each moment based on the instantaneous changes in temperature and humidity at each moment, as well as the degree of influence of temperature and humidity factors on radiation intensity; and obtain the radiation deviation index of each radiation monitoring instrument at each moment based on the sudden changes in radiation intensity at each radiation monitoring instrument, the relative distance between different radiation monitoring instruments, and the environmental interference level.

[0055] Considering that changes in environmental factors can affect radiation intensity—such as temperature changes affecting the density and refractive index of the propagation medium, and humidity changes affecting the water vapor content in the atmosphere (water vapor can absorb radiation), all these factors can influence radiation propagation and lead to errors in the collected data. However, changes in environmental factors affect radiation intensity, while changes in radiation intensity do not affect environmental factors. Therefore, by analyzing the differences between the data collected by the radiation monitoring instrument at the current moment and the data collected previously, a preliminary analysis can be made to determine whether the radiation intensity data collected at the current moment is reliable and whether the data can be recorded and stored.

[0056] The following explanation will take the u-th radiation monitoring instrument as an example. First, we will analyze the influence of temperature and humidity on radiation intensity.

[0057] Since the effects of temperature and humidity on radiation intensity may be coupled, a regression model can be used to analyze the influence of temperature and humidity on radiation intensity.

[0058] The system retrieves the temperature, humidity, and radiation intensity data collected by the u-th radiation monitor within a preset time period from the database of the radiation monitoring master station. The temperatures of the u-th radiation monitor within this preset time period are arranged chronologically to obtain the temperature sequence, the humidity data are arranged chronologically to obtain the humidity sequence, and the radiation intensity data are arranged chronologically to obtain the radiation intensity sequence. The preset time period is the set of all historical moments with a time interval less than or equal to the current moment, plus the current moment. In this embodiment, the preset time period is 10 minutes; however, the implementer can set this value according to specific circumstances.

[0059] Using the radiation intensity series as the dependent variable and the temperature and humidity series as independent variables, a linear regression model is constructed. The regression model is then solved to obtain the regression coefficients of the temperature series on the radiation series. Regression coefficients of humidity series on radiation series . , These regression coefficients respectively reflect the influence of temperature and humidity on radiation intensity in the data collected by the u-th radiation monitor. The larger the absolute value of the regression coefficient, the greater the influence of temperature and humidity on radiation intensity. In this embodiment, the regression coefficient of the temperature series on the radiation series is used as the influence of temperature on radiation intensity of the u-th radiation monitor, and the regression coefficient of the humidity series on the radiation series is used as the influence of humidity on radiation intensity of the u-th radiation monitor. The method for solving the regression coefficients is not limited to least squares method, ridge regression, or stepwise regression analysis. The construction and solution of the regression model are well-known techniques, and will not be elaborated further in this embodiment.

[0060] Next, the instantaneous changes in temperature and humidity at each moment of the u-th radiation monitor are obtained. Specifically, the absolute difference between the temperature at each moment of the u-th radiation monitor and the temperature at the previous moment is taken as the instantaneous change in temperature at each moment of the u-th radiation monitor; the absolute difference between the humidity at each moment of the u-th radiation monitor and the humidity at the previous moment is taken as the instantaneous change in humidity at each moment of the u-th radiation monitor. It should be noted that, since the temperature and humidity at the moment before the first moment are not obtained, this embodiment directly uses the instantaneous change in temperature at the second moment as the instantaneous change in temperature at the first moment, and the instantaneous change in humidity at the second moment as the instantaneous change in humidity at the first moment.

[0061] Furthermore, taking the i-th moment as an example, the reliability of the radiation data collected by the u-th radiation monitor at the i-th moment can be evaluated by the regression coefficients of temperature and humidity factors and the differences between the i-th moment and the previous moment in terms of changes in environmental factors.

[0062] At time i, the product of the influence of temperature on radiation intensity of the u-th radiation monitor and the instantaneous change in temperature of the u-th radiation monitor at time i is recorded as the temperature characteristic value; the product of the influence of humidity on radiation intensity of the u-th radiation monitor and the instantaneous change in humidity of the u-th radiation monitor at time i is recorded as the humidity characteristic value; the temperature and humidity characteristic values ​​are normalized respectively, and the absolute value of the sum of the normalized results of the temperature and humidity characteristic values ​​is determined as the environmental interference degree of the u-th radiation monitor at time i. In this embodiment, the data normalization method adopts the maximum-minimum value normalization method. As other implementation methods, other existing data normalization methods can also be used, which will not be elaborated further in this embodiment.

[0063] The environmental interference level reflects the potential instantaneous interference caused by environmental changes to the data collected by the radiation monitor. The larger the value, the more likely the environmental change at time i is to cause the radiation monitor to output a false signal at time u. The lower the reliability of the data, the less likely it should be stored to avoid affecting the overall data quality. Conversely, the smaller the value, the smaller the change in temperature and humidity, and the greater the possibility that the collected radiation data is true.

[0064] Since analyzing the authenticity of collected data based solely on environmental changes from a single radiation monitoring instrument may introduce errors, it is necessary to combine the synchronicity and attenuation characteristics of data collected from multiple radiation monitoring instruments during a real radiation accident for comprehensive analysis to improve the accuracy of the judgment.

[0065] Multiple radiation monitoring instruments are typically deployed within the same radiation area. When a real radiation accident occurs, due to the spatial propagation characteristics of the radiation field, the radiation doses collected by multiple monitoring instruments near the radiation source will change abruptly within a similar timeframe. Conversely, if no real radiation accident occurs, but the radiation data monitored by a certain radiation monitoring instrument changes abruptly, it is more likely that the data collected by that radiation monitoring instrument is abnormal.

[0066] The following explanation will continue using the u-th radiation monitoring instrument as an example.

[0067] Obtain the first-order difference sequence of the radiation intensity sequence of the u-th radiation monitor.

[0068] Taking any moment within a preset time period as an example, the method provided in this embodiment can be used to process other moments. Specifically, any moment within the preset time period is recorded as a candidate moment. The absolute value of the difference between the radiation intensity of the candidate moment of the u-th radiation monitor within the preset time period and its adjacent previous moment is calculated, and this absolute value is used as the radiation mutation value of the candidate moment of the u-th radiation monitor.

[0069] The radiation mutation value at the candidate time of the u-th radiation monitor and the first-order difference sequence of the radiation intensity sequence of the u-th radiation monitor are used as... The input to the criterion outlier detection algorithm is used to obtain... The range, if the radiation mutation value at the candidate time of the u-th radiation monitor is within... If the value is outside the range, it indicates that the u-th radiation monitor experienced a sudden change at time i. Therefore, the radiation monitor is determined to be a sudden change monitor at the candidate time, and the sudden change confidence factor of the radiation monitor at the candidate time is set to a preset first value. If the radiation sudden change value of the radiation monitor at the candidate time is within the range... If the range is within the range, it means that no sudden change has occurred, which reflects that the changes in the collected radiation data are stable at this time. Therefore, the change confidence factor of the candidate time of the radiation monitor is set to a preset second value, where the preset first value is greater than the preset second value. In this embodiment, the preset first value is 1 and the preset second value is 0.

[0070] Because a real radiation accident not only causes abrupt changes in the data collected by multiple radiation monitoring instruments, but also shows a decreasing radiation dose spatially with increasing distance from the radiation source, it is possible to analyze whether the data collected by the u-th radiation monitoring instrument conforms to the radiation attenuation characteristics, thereby further analyzing the authenticity of the collected data.

[0071] For each candidate time point, the radiation monitor with the largest radiation abrupt change value is designated as the origin monitor. The Euclidean distances between the GPS coordinates of each abrupt change monitor and the origin monitor within the radiation area are obtained, and all abrupt change monitors are sorted in ascending order of Euclidean distance to obtain the initial monitor sequence. However, considering that the radiation monitors are uniformly placed, multiple monitors may have the same Euclidean distance to the origin monitor. Therefore, to avoid errors in subsequent calculations, duplicate abrupt change monitors with the same Euclidean distance are deduplicated, i.e., the monitors in the initial monitor sequence are deduplicated to obtain the target monitor sequence. It should be noted that when analyzing the u-th radiation monitor, the target monitor sequence retains the u-th radiation monitor during deduplication, removing other monitors with the same Euclidean distance.

[0072] The Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence is used as the x-axis, and the radiation mutation value of the mutation monitor in the target monitor sequence is used as the y-axis to obtain the fitted curve. Curve fitting is an existing technology and will not be elaborated on here.

[0073] The shortest distance between the radiation mutation value at the candidate time of the u-th radiation monitor and the fitted curve is denoted as the first distance of the u-th radiation monitor at the candidate time. The first distance reflects whether the radiation mutation value collected by the u-th radiation monitor at the candidate time is consistent with the attenuation phenomenon that should be shown in its spatial location. The larger the value, the greater the possibility that the data collected by the u-th radiation monitor deviates from the overall attenuation characteristics and is abnormal data.

[0074] Based on the above characteristics, if the number of candidate time change monitoring devices is greater than 1 and the u-th radiation monitoring device is a change monitoring device at the candidate time, then the ratio between the first distance of the u-th radiation monitoring device at the candidate time and the number of candidate time change monitoring devices is calculated, and this ratio is recorded as the first ratio. The product of the environmental interference degree of the u-th radiation monitoring device at the candidate time and the first ratio is used as the radiation deviation index of the u-th radiation monitoring device at the candidate time. Otherwise, the product between the environmental interference degree of the u-th radiation monitoring device at the candidate time and the positive correlation mapping result of the change confidence factor of the u-th radiation monitoring device at the candidate time is used as the radiation deviation index of the u-th radiation monitoring device at the candidate time.

[0075] In this embodiment, a specific formula for calculating the radiation deviation index is given. The radiation deviation index of the u-th radiation monitor at the i-th time can be expressed as:

[0076]

[0077] in, Let represent the radiation deviation index of the u-th radiation monitor at the i-th time. This represents the environmental interference level of the u-th radiation monitor at time i. This represents the first distance of the u-th radiation monitor at time i. This represents the number of mutation monitoring devices at time i. This represents the confidence factor for the abrupt change of the u-th radiation monitor at time i. This represents an exponential function with the natural constant as its base.

[0078] Indicates the first ratio. This represents the positive correlation mapping result of the abrupt change confidence factor at time i for the u-th radiation monitor. The more abrupt change monitors there are at time i, the greater the probability of a real radiation accident occurring. The radiation deviation index of the u-th radiation monitor at time i reflects whether the data collected by the u-th radiation monitor at time i has been significantly interfered with by environmental factors, and whether the collected radiation intensity data conforms to the spatial propagation characteristics of radiation; the larger the value, the greater the environmental interference encountered by the u-th radiation monitor at time i, and the more the collected radiation data deviates from the spatial attenuation characteristics of radiation, thus reflecting a greater probability that the collected data is abnormal.

[0079] Using the above method, the radiation deviation index of each radiation monitor at each moment can be obtained.

[0080] Step S3: Combine the relative changes in radiation intensity of each radiation monitor at each moment with the radiation deviation index to determine the radiation anomaly index of each radiation monitor at each moment.

[0081] If a genuine radiation accident occurs in the radiation area, the radiation intensity collected by the radiation monitoring instrument will gradually increase as the radiation source continues to emit radiation; conversely, if the abnormal abrupt change is caused by noise or transient interference, it will not exhibit a continuous growth characteristic. Therefore, the authenticity of the data can be further determined by combining the relative trend of the collected data.

[0082] For any radiation monitor: the difference between the radiation intensity at the candidate moment and the radiation intensity at the next moment is recorded as the first difference; the difference between the radiation intensity at the previous moment and the radiation intensity at the candidate moment is recorded as the second difference; the maximum value among the first difference, the second difference, and 0 is recorded as the first characteristic value; the sum of the normalized value of the radiation deviation index at the candidate moment and the normalized value of the first characteristic value is used as the radiation anomaly index at the candidate moment.

[0083] In this embodiment, a specific formula for calculating the radiation anomaly index is given. The radiation anomaly index of the u-th radiation monitor at the i-th time can be expressed as:

[0084]

[0085] in, Let represent the radiation anomaly index of the u-th radiation monitor at the i-th time. Let represent the radiation deviation index of the u-th radiation monitor at the i-th time. Indicates the first difference. This represents the second difference. This represents the function that takes the maximum value. This represents the normalization function.

[0086] like , If all values ​​are negative, it indicates a continuous increase in radiation intensity data, which is more likely to reflect a real radiation accident. In this case, the collected data is more likely to represent a real radiation abrupt change; conversely, if all values ​​are negative... , If a positive number is present, it indicates that at least one segment of radiation intensity did not increase, which does not conform to the characteristic of continuous radiation from a radioactive source, thus reflecting that the collected data is less reliable.

[0087] The radiation anomaly index of the u-th radiation monitor at time i can comprehensively reflect the degree of anomaly in the data collected by the u-th radiation monitor at time i. The larger the value, the less the collected data conforms to the characteristics of radiation change, that is, the greater the possibility that the collected data is abnormal data.

[0088] Using the above method, the radiation anomaly index of each radiation monitor at each moment can be obtained.

[0089] Step S4: Store the data corresponding to the radiation monitoring instrument based on the radiation anomaly index.

[0090] In step S3 of this embodiment, the radiation anomaly index of each radiation monitor at each moment is obtained.

[0091] Professional personnel use specialized equipment to detect the radiation intensity within the radiation area of ​​the u-th radiation monitoring instrument at each historical moment and assign labels: In the event of a real radiation accident, regardless of the abrupt change confidence factor at that moment, the label for the corresponding radiation anomaly index is set to 0; in the absence of a real radiation accident, if the abrupt change confidence factor at that moment is 1, it indicates a sudden change in the collected data, making it an outlier, and therefore the label for the corresponding radiation anomaly index is set to 1. The radiation anomaly index and its corresponding label for each historical moment are obtained in this way.

[0092] All radiation anomaly indices and labels are used as input to an SVM classifier for training. The training of the SVM classifier is a well-known technique and will not be elaborated upon here.

[0093] Taking the u-th radiation monitor at time i as an example, the method provided in this embodiment can be used for other times. The radiation anomaly index of the u-th radiation monitor at time i is used as the input of a trained SVM classifier. The output of the SVM classifier is the binary label of the data collected by the u-th radiation monitor at time i. When the label is 1, it indicates that the collected data is abnormal. In this case, the data of the u-th radiation monitor at time i needs to be removed and not recorded or stored to avoid affecting the overall data quality. When the label is 0, it indicates that the collected data is not abnormal, that is, normal data. In this case, the data can be recorded and stored normally through the radiation monitoring main station. In the same way, the collected data of each radiation monitor at each time is detected and anomalies are removed, thereby achieving the recording and storage of good data and improving data quality. It should be noted that after the collected data is removed, missing value imputation methods can be used to fill in the missing data. Missing value imputation algorithms are not limited to backfilling or polynomial interpolation imputation.

[0094] Thus, the storage and recording of data from the radiation monitoring instrument has been completed using the method provided in this embodiment.

[0095] This embodiment first evaluates the environmental interference level of a single radiation monitoring instrument at each instant based on the instantaneous changes in temperature and humidity at each moment, as well as the degree of influence of temperature and humidity factors on radiation intensity. Then, considering the possibility of interfering radiation between different radiation monitoring instruments within the same area, it further assesses the radiation anomaly at each moment by combining the abrupt changes in radiation intensity at each monitoring instrument and the relative distance between them, obtaining a radiation anomaly index. Finally, it determines whether to store the corresponding data based on the radiation anomaly index. The method provided in this embodiment improves the accuracy of anomaly data assessment and ensures the storage quality of radiation monitoring instrument data.

[0096] Based on the same inventive concept as the above method, this embodiment of the invention also provides a data recording and storage device for a regional radiation monitor, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the above-described data recording and storage method for a regional radiation monitor.

[0097] Based on the same inventive concept as the above method, embodiments of the present invention also provide a computer-readable storage medium for storing a computer program that causes a computer to execute the steps in the data recording and storage method of the above-described regional radiation monitoring instrument.

[0098] It should be noted that 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 data recording and storage method for a regional radiation monitoring instrument, characterized in that, The method includes the following steps: Obtain radiation intensity, temperature, and humidity at each radiation monitoring instrument within the radiation area; The environmental interference level of each radiation monitoring instrument at each moment is evaluated based on the instantaneous changes in temperature and humidity at each moment, as well as the degree of influence of temperature and humidity factors on radiation intensity. The radiation deviation index of each radiation monitoring instrument at each moment is obtained based on the sudden changes in radiation intensity at each radiation monitoring instrument, the relative distance between different radiation monitoring instruments, and the environmental interference level. By combining the relative changes in radiation intensity of each radiation monitor at each moment with the radiation deviation index, the radiation anomaly index of each radiation monitor at each moment is determined. The data corresponding to the radiation monitoring instrument is stored based on the radiation anomaly index. The evaluation of the environmental interference level of each radiation monitor at each moment includes: For any radiation monitoring instrument: At any given moment, the product of the influence of the temperature factor of any radiation monitoring instrument on the radiation intensity and the instantaneous change of the temperature of any radiation monitoring instrument at that time is recorded as the temperature characteristic value; the product of the influence of the humidity factor of any radiation monitoring instrument on the radiation intensity and the instantaneous change of the humidity of any radiation monitoring instrument at that time is recorded as the humidity characteristic value. The absolute value of the sum of the normalized results of the temperature characteristic value and the normalized results of the humidity characteristic value is determined as the environmental interference degree of any radiation monitoring instrument at any time. The degree of influence of temperature on radiation intensity is the regression coefficient between the temperature sequence and the radiation intensity sequence of any radiation monitor; wherein, the temperature sequence is a sequence of temperatures within a preset time period; The degree of influence of humidity on radiation intensity is the regression coefficient between the humidity sequence and the radiation intensity sequence of any radiation monitoring instrument within a preset time period; wherein, the humidity sequence is a sequence composed of humidity within the preset time period; The obtained radiation deviation index of each radiation monitor at each moment includes: For any radiation monitoring instrument: Sort the radiation intensity of any radiation monitor at all times within a preset time period in chronological order to obtain a radiation intensity sequence; obtain the first-order difference sequence of the radiation intensity sequence; The difference in radiation intensity between a candidate moment and its adjacent previous moment within a preset time period of any radiation monitor is determined as the radiation mutation value of the candidate moment. The radiation abrupt change value at any candidate moment of the radiation monitor and the first-order difference sequence are used as... The input to the criterion outlier detection algorithm is if the radiation mutation value at any candidate time of the radiation monitor is within... If the radiation is outside the specified range, then any of the radiation monitors at the candidate time is determined to be a mutation monitor, and the mutation confidence factor of any of the radiation monitors at the candidate time is set to a preset first value; if the radiation mutation value of any of the radiation monitors at the candidate time is within the specified range... Within the range, the change confidence factor of any candidate moment of the radiation monitor is set to a preset second value, wherein the preset first value is greater than the preset second value; For each candidate time, the radiation monitor with the largest radiation mutation value is designated as the origin monitor; the Euclidean distance between each mutation monitor and the origin monitor's GPS coordinates is obtained, and all mutation monitors are sorted in ascending order of Euclidean distance to obtain the initial monitor sequence; the monitors in the initial monitor sequence are deduplicated to obtain the target monitor sequence. Based on the Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence and the radiation mutation value of the mutation monitor, the first distance of any radiation monitor at the candidate time is obtained; The radiation deviation index of any candidate radiation monitor is obtained based on the abrupt change confidence factor of any candidate radiation monitor, the number of candidate abrupt change monitors, the first distance, and the environmental interference degree of any candidate radiation monitor. The candidate time is any time within a preset time period.

2. The data recording and storage method for a regional radiation monitoring instrument according to claim 1, characterized in that, The acquisition of the instantaneous temperature change at each radiation monitoring instrument at each moment includes: taking the absolute difference between the temperature at each radiation monitoring instrument at each moment and the temperature at the previous moment as the instantaneous temperature change at each radiation monitoring instrument at each moment. The acquisition of the instantaneous change in humidity at each radiation monitoring instrument at each moment includes: taking the absolute difference between the humidity at each radiation monitoring instrument at each moment and the humidity at the previous moment as the instantaneous change in humidity at each radiation monitoring instrument at each moment.

3. The data recording and storage method for a regional radiation monitoring instrument according to claim 1, characterized in that, The step of obtaining the first distance of any radiation monitor at a candidate time based on the Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence and the radiation mutation value of the mutation monitor includes: The Euclidean distance between the mutation monitor and the origin monitor in the target monitor sequence is used as the x-axis, and the radiation mutation value of the mutation monitor in the target monitor sequence is used as the y-axis to perform curve fitting to obtain the fitted curve. The shortest distance between the radiation mutation value at a candidate time of any radiation monitor and the fitted curve is recorded as the first distance of any radiation monitor at the candidate time.

4. The data recording and storage method for a regional radiation monitoring instrument according to claim 1, characterized in that, The step of obtaining the radiation deviation index of any candidate radiation monitor based on the abrupt change confidence factor of any candidate radiation monitor, the number of candidate abrupt change monitors, the first distance, and the environmental interference level of any candidate radiation monitor includes: If the number of candidate time change monitoring devices is greater than 1 and any one of the radiation monitoring devices is a change monitoring device at the candidate time, then the first ratio between the first distance of the any one of the radiation monitoring devices at the candidate time and the number of candidate time change monitoring devices is calculated, and the product of the environmental interference degree of the any one of the radiation monitoring devices at the candidate time and the first ratio is used as the radiation deviation index of the any one of the radiation monitoring devices at the candidate time; otherwise, the product between the environmental interference degree of the any one of the radiation monitoring devices at the candidate time and the positive correlation mapping result of the change confidence factor of the any one of the radiation monitoring devices at the candidate time is used as the radiation deviation index of the any one of the radiation monitoring devices at the candidate time.

5. The data recording and storage method for a regional radiation monitoring instrument according to claim 1, characterized in that, The determination of the radiation anomaly index for each radiation monitor at each moment, by combining the relative changes in radiation intensity of each monitor at each moment with the radiation deviation index, includes: For any radiation monitoring instrument: The difference between the radiation intensity at a candidate moment and the radiation intensity at the next moment is recorded as the first difference; the difference between the radiation intensity at the previous moment and the radiation intensity at the candidate moment is recorded as the second difference. The maximum value among the first difference, the second difference, and 0 is recorded as the first characteristic value; The sum of the normalized value of the radiation deviation index at any candidate moment of the radiation monitor and the normalized value of the first feature value is taken as the radiation anomaly index at any candidate moment of the radiation monitor.

6. The data recording and storage method for a regional radiation monitoring instrument according to claim 1, characterized in that, The storage of data corresponding to the radiation monitoring instrument based on the radiation anomaly index includes: The radiation anomaly index is input into the trained SVM classifier to determine whether the data at the corresponding time point is anomalous. If the data at the corresponding time point is not anomalous, it is stored.

7. A data recording and storage device for a regional radiation monitoring instrument, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by a processor, it implements the method as described in claim 1.

8. A data recording and storage medium for a regional radiation monitoring instrument, characterized in that, Used to store a computer program that causes a computer to perform the method as described in claim 1.

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