Intelligent analysis system for nuclear radiation data

Abstract

The invention relates to the technical field of nuclear radiation monitoring, in particular to an intelligent analysis system for nuclear radiation data, which comprises an acquisition planning module, a radiation intensity monitoring module, a sensor adjusting module, a radiation source positioning module and a radiation data processing module. According to the invention, the sensitivity and sampling frequency of the nuclear radiation sensor are intelligently adjusted by combining factors such as water flow velocity and temperature so as to cope with different environmental conditions and ensure the stability and accuracy of radiation data, and high-quality radiation monitoring data can be provided in a complex marine environment. Strong support is provided for accurate evaluation of a nuclear radiation source and analysis of the radiation quantity of marine products, the limitation of a traditional static monitoring technology is effectively overcome through real-time cooperation of the sensor and the unmanned ship, the response speed and precision of data acquisition are improved through continuous tracking and optimization of sensor configuration, nuclear pollution events can be rapidly coped with, and the real-time performance of the system is improved. And the radiation source position is updated in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear radiation monitoring, and particularly to an intelligent analysis system for nuclear radiation data. Background Art

[0002] The application of nuclear radiation monitoring technology in the marine environment is mainly for monitoring and analyzing the existing radioactive pollution in the ocean, especially for detecting and evaluating the radiation dose of seafood. Marine nuclear radiation monitoring technology plays an important role in the situations of nuclear power plants, marine nuclear accidents, radioactive substance leakage, and natural radioactive pollution, which can ensure the safety of seafood and provide scientific support for the long-term protection of the marine environment.

[0003] Among them, the intelligent analysis system for nuclear radiation data focuses on accurately analyzing the radiation dose of seafood. By obtaining nuclear radiation data in the marine environment in real time and focusing on the content of radioactive substances in seafood, the system quickly analyzes the radiation data to ensure the safety and harmlessness of seafood. It is widely used in the safety monitoring of the marine environment. Especially after a nuclear pollution event occurs, it can provide rapid and accurate radiation dose detection, providing strong support for marine food safety, public health protection, and environmental governance decision-making.

[0004] Due to the instability of the marine environment, it is difficult for the existing technology to adjust the sensor performance in real time, resulting in limitations in the accuracy and timeliness of data collection. After a nuclear pollution event occurs, rapid and accurate radiation data cannot be provided in a short time, affecting the emergency response and the assessment of seafood safety. In addition, the existing technology cannot optimize the sensitivity and detection range of the sensor in real time, resulting in data deviation, affecting the accuracy of radiation source positioning and environmental correction, making the response speed of marine environment monitoring slow, unable to effectively cope with the sudden spread problem of nuclear radiation pollution, and thus affecting the decision-making efficiency. Summary of the Invention

[0005] In order to solve the technical problems existing in the prior art that due to the instability of the marine environment, it is difficult for the existing technology to adjust the sensor performance in real time, resulting in limitations in the accuracy and timeliness of data collection. After a nuclear pollution event occurs, rapid and accurate radiation data cannot be provided in a short time, affecting the emergency response and the assessment of seafood safety. In addition, the existing technology cannot optimize the sensitivity and detection range of the sensor in real time, resulting in data deviation, affecting the accuracy of radiation source positioning and environmental correction, making the response speed of marine environment monitoring slow, unable to effectively cope with the sudden spread problem of nuclear radiation pollution, and thus affecting the decision-making efficiency, the embodiment of the present invention provides an intelligent analysis system for nuclear radiation data. The technical solution is as follows:

[0006] On the one hand, an intelligent analysis system for nuclear radiation data is provided, including:

[0007] The acquisition planning module obtains the hydrodynamic data of the current ocean area, analyzes the relationship between the change rate of radiation intensity and the flow state through the data collected by the nuclear radiation sensor carried on the unmanned ship, monitors the changes of the target radiation source in real time, dynamically adjusts the path of the unmanned ship, and obtains the path optimization configuration;

[0008] Based on the path optimization configuration, the radiation intensity monitoring module analyzes the collected radiation intensity and frequency information, judges the radiation intensity fluctuation according to the ocean current velocity and temperature change in the current area, corrects the original data, and generates the radiation intensity change data;

[0009] Based on the radiation intensity change data, the sensor adjustment module analyzes the current radiation intensity fluctuation range, combines the water depth, ocean current velocity and temperature change, judges the influence of environmental factors on the sensor, automatically adjusts the sensor sensitivity, and updates its sampling frequency to obtain the sensor sensitivity adjustment configuration;

[0010] Based on the sensor sensitivity adjustment configuration, the radiation source positioning module combines the real-time geographical location, ocean current velocity and temperature information, calculates the radiation source position through waveform analysis, continuously updates the position coordinates of the radiation source, and obtains the radiation source position positioning information.

[0011] On the other hand, the path optimization configuration includes the optimal path, the optimal traveling speed, and the optimal target area. The radiation intensity change data includes the radiation intensity fluctuation range, the dynamic change trend of the radiation source, and the data correction result. The sensor sensitivity adjustment configuration includes the sensitivity adjustment value, the detection range optimization result, and the sampling frequency update result.

[0012] On the other hand, the acquisition planning module includes:

[0013] The fluid state acquisition sub-module obtains the hydrodynamic data of the current ocean area, monitors the flow state of the ocean fluid through the nuclear radiation sensor carried on the unmanned ship, collects the water flow velocity and direction information, and calculates the changes in the flow velocity and direction within the area to obtain the flow state data;

[0014] Based on the flow state data, the radiation monitoring and analysis sub-module analyzes the radiation intensity change, calculates the change rate of the radiation intensity over time, compares it with the ocean flow state, and screens the areas where the radiation intensity changes significantly to obtain the radiation change data;

[0015] Based on the radiation change data, the path optimization and adjustment sub-module analyzes the impact on the path of the unmanned ship, adjusts the traveling direction and speed of the unmanned ship, optimizes the path planning, and obtains the path optimization configuration.

[0016] On the other hand, the radiation intensity monitoring module includes:

[0017] Based on the path optimization configuration, the radiation data analysis sub-module analyzes the collected radiation intensity and frequency information, combines the current ocean flow velocity and temperature change data, screens out the key fluctuating data points, and conducts a preliminary analysis on them to evaluate the radiation intensity fluctuation trend, obtaining radiation fluctuation data;

[0018] Based on the radiation fluctuation data, the change trend analysis sub-module analyzes the dynamic change trend of the radiation source, combines the radiation intensity data and environmental changes in multiple time periods, judges the relationship between radiation fluctuation and flow velocity change, determines the potential change trend of the radiation source, and generates the dynamic trend of the radiation source;

[0019] The data correction sub-module corrects the original radiation data according to the dynamic trend of the radiation source, eliminates the abnormal data points that do not conform to the trend, and corrects the data in combination with environmental factors, obtaining the radiation intensity change data.

[0020] On the other hand, the sensor adjustment module includes:

[0021] Based on the radiation intensity change data, the radiation fluctuation analysis sub-module analyzes the current radiation intensity fluctuation range, combines the water depth, ocean flow velocity and temperature change, compares the radiation data in each time period, evaluates the change trend of the radiation fluctuation range, and obtains the radiation range data;

[0022] Based on the radiation range data, the environmental factor evaluation sub-module analyzes the influence of environmental factors on sensor detection, evaluates the interference degree of environmental fluctuation on radiation intensity, and determines the sensor parameters that need to be corrected, obtaining the environmental impact evaluation log;

[0023] The sensitivity adjustment sub-module automatically adjusts the sensor sensitivity according to the environmental impact evaluation log, optimizes the detection range and sampling frequency of the sensor, and matches the current acquisition conditions, obtaining the sensor sensitivity adjustment configuration.

[0024] On the other hand, based on the radiation range data, the formula:

[0025]

[0026] Calculate the environmental impact evaluation result to obtain the corrected radiation intensity I adj , where R i represents the radiation value of the i-th measurement, R nom represents the calibrated radiation value, T i represents the temperature value of the i-th measurement, T nom represents the calibrated temperature value, S i represents the sensor reading of the i-th measurement, S nomrepresents the calibrated sensor readings, α represents the influence factor of temperature on radiation intensity, β represents the influence factor of sensor readings on radiation intensity, and n represents the number of measurements.

[0027] On the other hand, the radiation source positioning module includes:

[0028] The signal difference analysis sub-module adjusts the configuration according to the sensor sensitivity, obtains the data collected by the nuclear radiation sensor moving with the unmanned ship, combines the real-time geographical location, ocean current velocity and temperature information, calculates the difference between the collected signal and the sensor, analyzes the relationship between the signal intensity and the sensor position, screens potential signal deviations, and obtains signal difference data;

[0029] The radiation source calculation sub-module calculates the radiation source position through waveform analysis based on the signal difference data, dynamically corrects for environmental impacts, and continuously updates the position coordinates of the radiation source to obtain radiation source position positioning information.

[0030] On the other hand, calculating the radiation source position through waveform analysis uses the formula:

[0031]

[0032] Obtain the radiation source position information LF and continuously update the radiation source position coordinates, where n L represents the number of waveform data points, DL z represents the signal intensity difference corresponding to the z-th time point, DL z-1 represents the signal intensity difference value corresponding to the (z - 1)-th time point, ΔTL z represents the change in the time interval between the z-th data point and the previous point, TL z represents the time delay parameter at the z-th time point.

[0033] On the other hand, the system further includes:

[0034] The radiation data processing module eliminates abnormal data based on the radiation source position positioning information, corrects the valid data, and analyzes the change in the radiation concentration distribution in the difference area to obtain the radiation concentration analysis result;

[0035] The radiation concentration analysis result includes a radiation concentration distribution map and corrected radiation concentration data.

[0036] On the other hand, the radiation data processing module includes:

[0037] The radiation correction sub-module analyzes the abnormal fluctuations in the data based on the radiation source position positioning information, eliminates abnormal data, and corrects the deviation in the radiation intensity data to obtain radiation correction data;

[0038] Based on the radiation correction data, the concentration analysis sub-module analyzes the change in the radiation concentration distribution in the difference region, combines the geographical location information, calculates the radiation concentration of each region, and obtains the radiation concentration analysis result.

[0039] The beneficial effects brought by the technical solution provided by the embodiment of the present invention at least include:

[0040] By combining factors such as water flow velocity and temperature, the sensitivity and sampling frequency of the nuclear radiation sensor are intelligently adjusted to cope with different environmental conditions, ensuring the stability and accuracy of radiation data. It can provide high-quality radiation monitoring data in a complex marine environment, provide strong support for the accurate assessment of nuclear radiation sources and the analysis of the radiation dose of seafood. The real-time cooperation between the sensor and the unmanned ship effectively overcomes the limitations of traditional static monitoring technologies. By continuously tracking and optimizing the sensor configuration, the response speed and accuracy of data collection are improved, it can quickly respond to nuclear pollution incidents, and update the radiation source location in real time, improving the response ability to marine food safety and environmental protection decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0042] Figure 1 It is a system schematic diagram of the present invention;

[0043] Figure 2 It is a system framework schematic diagram of the present invention;

[0044] Figure 3 It is a flowchart of the acquisition planning module of the present invention;

[0045] Figure 4 It is a flowchart of the radiation intensity monitoring module of the present invention;

[0046] Figure 5 It is a flowchart of the sensor adjustment module of the present invention;

[0047] Figure 6 It is a flowchart of the radiation source positioning module of the present invention;

[0048] Figure 7 It is a flowchart of the radiation data processing module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The following will describe the technical solutions in the present invention with reference to the drawings.

[0050] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to give examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0051] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meaning they express is the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meaning they express is the same.

[0052] In the embodiments of the present invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0053] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0054] The embodiments of the present invention provide an intelligent analysis system for nuclear radiation data, as Figure 1 shown, the system includes:

[0055] The acquisition planning module obtains the hydrodynamic data of the current ocean area, analyzes the relationship between the change rate of radiation intensity and the flow state through the data collected by the nuclear radiation sensors carried on the unmanned ship, monitors the change of the target radiation source in real time, dynamically adjusts the path of the unmanned ship, determines the optimal traveling direction and speed, and obtains the path optimization configuration;

[0056] The radiation intensity monitoring module analyzes the collected radiation intensity and frequency information based on the path optimization configuration, analyzes the dynamic change trend of the radiation source according to the ocean current velocity and temperature change in the current area, judges the radiation intensity fluctuation, and corrects the original data to generate radiation intensity change data;

[0057] The sensor adjustment module analyzes the current radiation intensity fluctuation range based on the radiation intensity change data, combines the water depth, ocean current velocity and temperature change, judges the influence of environmental factors on the sensor, automatically adjusts the sensor sensitivity, optimizes the detection range, and updates its sampling frequency to obtain the sensor sensitivity adjustment configuration;

[0058] The radiation source positioning module adjusts the configuration according to the sensor sensitivity, obtains the data collected by the nuclear radiation sensor moving with the unmanned ship, combines the real-time geographical location, ocean current velocity, and temperature information, calculates the difference between the collected signal and the sensor, estimates the radiation source position through waveform analysis, and makes dynamic corrections for environmental impacts, continuously updating the position coordinates of the radiation source to obtain the radiation source position positioning information;

[0059] The radiation data processing module eliminates abnormal data based on the radiation source position positioning information, corrects the valid data, and analyzes the change in the radiation concentration distribution in the differential area to obtain the radiation concentration analysis result.

[0060] The path optimization configuration includes the optimal path, optimal traveling speed, and optimal target area. The radiation intensity change data includes the radiation intensity fluctuation range, radiation source dynamic change trend, and data correction result. The sensor sensitivity adjustment configuration includes the sensitivity adjustment value, detection range optimization result, and sampling frequency update result. The radiation concentration analysis result includes the radiation concentration distribution map and corrected radiation concentration data.

[0061] As Figure 2 and Figure 3 shown, the acquisition planning module includes:

[0062] The fluid state acquisition sub-module obtains the hydrodynamic data of the current ocean area, monitors the flow state of the ocean fluid through the nuclear radiation sensor carried on the unmanned ship, collects the water flow velocity and direction information, and calculates the changes in the flow velocity and direction within the area to obtain the flow state data;

[0063] Through the nuclear radiation sensor carried on the unmanned ship, the hydrodynamic data of the ocean area is obtained. First, the fluid state data of the ocean area is obtained through the sensor, including the flow velocity and direction. The flow velocity is measured by detecting the changes in the water flow velocity at different positions through the sensor. After the data is collected, the change in the flow velocity can be obtained by calculating the difference between the data at different time points. The flow direction is analyzed by the sensor to analyze the flow direction of the fluid, and the data is processed with the help of the ocean hydrodynamics model to obtain the flow direction angle value, and further calculate the change trend of the water flow direction. If when the unmanned ship passes through a certain sea area, the nuclear radiation sensor monitors the sea current velocity and direction at the same time. If the flow velocity at a certain moment is 0.5 m / s and the flow direction angle is 45 degrees, and the flow velocity is measured to be 0.7 m / s and the flow direction angle changes to 48 degrees after 10 minutes, the data will be used for further analysis of the water flow changes. After the data is processed, it can accurately reflect the state changes of the water flow in the area and provide accurate basic data for subsequent radiation monitoring analysis, obtain the changes in the flow velocity and direction within the area, and form the flow state data.

[0064] Based on the flow state data, the radiation monitoring and analysis sub-module analyzes the change in radiation intensity, calculates the rate of change of radiation intensity over time, compares it with the ocean flow state, screens the areas where the radiation intensity changes significantly, and obtains radiation change data;

[0065] First, the radiation intensity data is collected. The nuclear radiation sensor will monitor and record the radiation intensity data in real time. After the data is combined with the flow state data, it enters the analysis stage. The analysis process includes calculating the correlation between the radiation intensity and the water flow state data. By calculating the rate of change of radiation intensity over time, the time periods with more significant changes are found. At this time, the data is screened according to a certain radiation change threshold. For example, when the rate of change of radiation intensity exceeds 0.02 μSv / h, it is marked as important data, and the change in the sea current is compared to check whether the change in radiation intensity is directly related to the change in flow velocity and direction. For example, when the radiation intensity rate in a certain ocean area is monitored to be 0.025 μSv / h during a certain period, and the water flow velocity increases by 0.2 m / s during this period, it is determined that this area is a region with a relatively obvious radiation change. Through this screening, the key areas of radiation intensity change are analyzed to form radiation change data.

[0066] Based on the radiation change data, the path optimization and adjustment sub-module analyzes the impact on the path of the unmanned ship, adjusts the traveling direction and speed of the unmanned ship, optimizes the path planning, and obtains the path optimization configuration;

[0067] First, the areas with relatively significant radiation changes are marked. By analyzing its impact on the path of the unmanned ship, it is determined whether the navigation path needs to be adjusted. During the adjustment process, by calculating the distance between the radiation intensity and the current position of the unmanned ship, combined with the flow direction and velocity of the water flow, adjustment rules are set. For example, when the radiation intensity is higher than a certain threshold and the water flow velocity is relatively large, the navigation path is automatically optimized, and the traveling direction and speed of the unmanned ship are changed. For example, when the unmanned ship approaches an area with a radiation intensity of 0.03 μSv / h and a relatively large flow velocity of 1.5 m / s, it is determined that the traveling direction needs to be adjusted so that the unmanned ship directly sails into this area. During the path adjustment process, the unmanned ship system will compare the difference between the adjusted path and the original path, and based on the comprehensive calculation of the flow state and radiation data, optimize the best navigation path configuration to ensure that the unmanned ship accurately enters the sea area with stronger nuclear radiation.

[0068] As Figure 2 and Figure 4 shown, the radiation intensity monitoring module includes:

[0069] Based on the path optimization configuration, the radiation data analysis sub-module analyzes the collected radiation intensity and frequency information, combines the current ocean flow velocity and temperature change data, screens the key data points of fluctuations, and conducts a preliminary analysis on them to evaluate the radiation intensity fluctuation trend and obtain radiation fluctuation data;

[0070] First, extract the data points with large fluctuations from the collected radiation intensity data, and combine them with the ocean current velocity and temperature change data to further screen out the key data points with fluctuations. In the specific operation process, perform time series analysis on the collected radiation intensity values, combine the velocity and temperature data at each moment, and identify the significant fluctuations by calculating the correlation coefficients between the radiation intensity and the velocity and temperature in each time period. Suppose in a certain time period, the radiation intensity is 0.04 μSv / h, the velocity is 0.5 m / s, and the temperature is 18 °C. Compare the data with that in the adjacent time period. If the difference exceeds the set threshold, such as the velocity change exceeds 0.1 m / s and the temperature change exceeds 1 °C, then this data point will be marked as a key fluctuation data point. For the key data points, the sub-module will conduct a preliminary analysis to evaluate its radiation fluctuation trend, further analyze whether the change trend of the data point conforms to the expected pattern, and output the radiation fluctuation data.

[0071] Based on the radiation fluctuation data, the change trend analysis sub-module analyzes the dynamic change trend of the radiation source, combines the radiation intensity data of multiple time periods with the environmental changes, judges the relationship between the radiation fluctuation and the velocity change, determines the potential change trend of the radiation source, and generates the dynamic trend of the radiation source.

[0072] Process the radiation intensity data collected in multiple time periods, calculate the average radiation intensity in each time period and its relationship with environmental factors such as velocity and temperature, and determine whether the radiation fluctuation is significantly correlated with the velocity change through correlation analysis. Suppose in a certain time period, the radiation intensity is 0.05 μSv / h and the velocity is 0.7 m / s, and in another time period, the radiation intensity is 0.03 μSv / h and the velocity is 1.2 m / s. By calculating the correlation coefficient of these two time periods, if the correlation coefficient is greater than 0.8, it indicates that the radiation fluctuation is highly correlated with the velocity change. Subsequently, analyze the dynamic change trend of the radiation source by comparing the data of multiple time periods segment by segment. If in a certain time period, the change in radiation intensity is consistent with the change in velocity and other environmental factors remain stable, then it can be inferred that the potential change trend of the radiation source is an increase or decrease in fluctuations. Combine the velocity change trend to generate the dynamic trend of the radiation source.

[0073] The data correction sub-module corrects the original radiation data according to the dynamic trend of the radiation source, eliminates the abnormal data points that do not conform to the trend, and corrects the data in combination with environmental factors to obtain the radiation intensity change data.

[0074] Compare the differences between the original data and the dynamic trends of the radiation sources, and eliminate the abnormal data points that obviously do not conform to the trends. For example, if during a certain period, the radiation intensity fluctuates greatly but the flow rate changes little and the temperature change is also not significant, this data point will be determined as an outlier. Then, the remaining data will be corrected in combination with environmental factors (such as temperature, flow rate, etc.). The specific operation is to introduce a correction coefficient to perform weighted correction on the data. For example, if the coefficient of the flow rate affecting the radiation intensity is set to 0.5 and the temperature influence coefficient is set to 0.2, then according to the formula: Corrected radiation intensity = Original radiation intensity + (Flow rate × 0.5) + (Temperature × 0.2). Suppose the original radiation intensity is 0.03 μSv / h, the flow rate is 1.0 m / s, and the temperature is 20 °C, then the corrected radiation intensity is: Corrected radiation intensity = 0.03 + (1.0 × 0.5) + (20 × 0.2) = 4.53 μSv / h. Finally, through the corrected data, output the radiation intensity change data for further analysis or as a basis for path optimization.

[0075] As Figure 2 and Figure 5 shown, the sensor adjustment module includes:

[0076] The radiation fluctuation analysis sub-module analyzes the current radiation intensity fluctuation range based on the radiation intensity change data, combines the water depth, ocean flow rate, and temperature changes, compares the radiation data for each time period, evaluates the change trend of the radiation fluctuation range, and obtains the radiation range data;

[0077] Perform time series analysis on the collected radiation intensity data, judge the fluctuation range for each time period, identify the gap between its minimum and maximum values, so as to determine the fluctuation range. On this basis, combine the water depth, flow rate, and temperature change data to calculate the correlation with the radiation intensity fluctuation. For example, assume that during a certain period, the radiation intensity changes from 0.05 μSv / h to 0.10 μSv / h, the flow rate is 1.2 m / s, the water depth is 50 meters, and the temperature is 20 °C. The system will calculate the correlation between the radiation intensity and the flow rate and temperature during this period. By comparing the radiation fluctuation conditions in multiple time periods, judge whether the current fluctuation exceeds the normal range. If in a certain time period, the fluctuation range exceeds a predetermined threshold, such as exceeding 0.05 μSv / h, the system will mark this time period as an abnormal fluctuation and conduct further analysis. The output radiation range data will reflect the fluctuation trend of the radiation intensity.

[0078] The environmental factor evaluation sub-module analyzes the influence of environmental factors on sensor detection based on the radiation range data, evaluates the interference degree of environmental fluctuations on the radiation intensity, and determines the sensor parameters that need to be corrected to obtain the environmental impact evaluation log;

[0079] Based on the radiation range data, use the formula:

[0080]

[0081] Calculate the environmental impact assessment result to obtain the corrected radiation intensity I adj , where R i represents the radiation value of the i-th measurement, R nom represents the calibrated radiation value, T i represents the temperature value of the i-th measurement, T nom represents the calibrated temperature value, S i represents the sensor reading of the i-th measurement, S nom represents the calibrated sensor reading, α represents the influence factor of temperature on radiation intensity, β represents the influence factor of sensor reading on radiation intensity, and n represents the number of measurements;

[0082] Two measurements were carried out and the following data were obtained:

[0083] Measurement 1: R1 = 100 W / m 2 , T1 = 25 °C;

[0084] Measurement 2: R2 = 105 W / m 2 , T2 = 26 °C;

[0085] R nom and T nom , using a standard radiation source and temperature control equipment for calibration, we get: R nom = 100 W / m 2 , T nom = 25 °C, S i and S nom , record the output value of the sensor, and we get:

[0086] Measurement 1: S1 = 98 units;

[0087] Measurement 2: S2 = 100 units;

[0088] S nom = 98 units;

[0089] α and β are obtained by regression analysis of the data:

[0090] α = 0.05 W / m 2 / °C;

[0091] β = 1.02 units / W / m 2 ;

[0092] Calculate the sum of absolute deviations:

[0093]

[0094] Calculate the sum of the squares of the temperature deviations:

[0095]

[0096] Calculate the sum of the deviations of the sensor readings:

[0097]

[0098] Substitute into the formula to calculate the corrected radiation intensity:

[0099]

[0100] The result shows that after considering the influence of temperature and sensor readings, the actually measured radiation intensity should be 2.48 W / m 2 .

[0101] The sensitivity adjustment sub-module automatically adjusts the sensor sensitivity according to the environmental impact assessment log, optimizes the detection range and sampling frequency of the sensor, matches the current acquisition conditions, and obtains the sensor sensitivity adjustment configuration;

[0102] Analyze the data in the environmental impact assessment log to identify which environmental factors have the greatest impact on the radiation intensity and determine the sensor parameters that need to be corrected. For example, when it is found that temperature and flow rate have a greater impact on the radiation intensity, the sensitivity of the sensor needs to be adjusted to ensure that it can still accurately detect radiation changes under environmental conditions. Assume that the system detects that the radiation intensity fluctuates greatly (e.g., exceeds 0.05 μSv / h) in a certain environment. Based on the environmental impact assessment log, the sensor sensitivity is automatically adjusted, and the sensitivity coefficient is adjusted to 1.2, increasing the sampling frequency to ensure that accurate data can still be collected in an environment with large fluctuations. Finally, the adjusted sensor sensitivity configuration will ensure that under different environmental conditions, the sensor can provide accurate and stable measurement results, optimize the detection range and sampling frequency, and adapt to the current acquisition conditions.

[0103] As Figure 2 and Figure 6 shown, the radiation source positioning module includes:

[0104] The signal difference analysis sub-module obtains the data collected by the nuclear radiation sensor moving with the unmanned ship according to the sensor sensitivity adjustment configuration, combines the real-time geographical location, ocean flow rate and temperature information, calculates the difference between the collected signal and the sensor, analyzes the relationship between the signal intensity and the sensor position, and filters out potential signal deviations to obtain the signal difference data;

[0105] First, based on the real-time geographical location information of the unmanned ship, determine the current position of the sensor. Then, by calculating the difference between the intensity of the collected radiation signal and the preset sensitivity of the sensor, analyze the variation trend of the signal intensity with position, and conduct time series data comparison. For example, if the signal intensity collected by the sensor at a certain moment is 0.05 μSv / h and is compared with the signal intensity of 0.04 μSv / h collected at the previous position (assumed to be 50 meters away from the original position), this 0.01 μSv / h change value reflects the signal deviation. Subsequently, combined with the real-time ocean current speed and temperature data, further analyze whether environmental factors have affected the signal. For example, assume that the current ocean current speed is 1.0 m / s and the temperature is 22 °C. The increase in the current speed causes greater signal fluctuations, and the change in temperature will have a certain impact on the response of the sensor. Based on the parameters, screen out the data points with large signal differences and mark them as potential signal deviations to generate signal difference data.

[0106] The radiation source estimation sub-module, based on the signal difference data, estimates the position of the radiation source through waveform analysis, dynamically corrects for environmental impacts, continuously updates the position coordinates of the radiation source, and obtains the radiation source position location information;

[0107] Estimate the position of the radiation source through waveform analysis, using the formula:

[0108]

[0109] Obtain the radiation source position information LF, and continuously update the position coordinates of the radiation source, where, n L represents the number of waveform data points, DL z represents the signal intensity difference corresponding to the z-th time point, DL z-1 represents the signal intensity difference value corresponding to the (z - 1)-th time point, ΔTL z represents the change in the time interval between the z-th data point and the previous point, TL z represents the time delay parameter at the z-th time point;

[0110] The values of three data points are as follows:

[0111] n L = 3;

[0112] DL1 = 2.0, DL2 = 2.5, DL3 = 3.0;

[0113] ΔTL1 = 0.1, ΔTL2 = 0.2, ΔTL3 = 0.15;

[0114] TL1 = 1.5, TL2 = 1.6, TL3 = 1.7;

[0115] The first part: The average value of the signal intensity difference. For z = 1:

[0116] |2.0 - 0| + 0.1 = 2.0 + 0.1 = 2.1;

[0117] For z = 2:

[0118] |2.5 - 2.0| + 0.2 = 0.5 + 0.2 = 0.7;

[0119] For z = 3:

[0120] |3.0 - 2.5| + 0.15 = 0.5 + 0.15 = 0.65;

[0121] Sum:

[0122] 2.1 + 0.7 + 0.65 = 3.45;

[0123] Average:

[0124]

[0125] Second part: Ratio of the square root of the product of signal strength and delay parameter. For z = 1:

[0126] 2.0 × 1.5 = 3.0;

[0127] For z = 2:

[0128] 2.5 × 1.6 = 4.0;

[0129] For z = 3:

[0130] 3.0 × 1.7 = 5.1;

[0131] Sum:

[0132] 3.0 + 4.0 + 5.1 = 12.1;

[0133] Square root:

[0134]

[0135] Sum of signal strengths:

[0136] |2.0| + |2.5| + |3.0| = 7.5;

[0137] Ratio:

[0138]

[0139] Substitute the calculation results into the formula:

[0140] LF = 1.15 + 0.464 = 1.614;

[0141] LF = 1.614 represents the positioning information of the radiation source in space. Through the comprehensive calculation of parameters such as signal intensity change, time interval, and time delay, the position information of the radiation source is obtained. The result is a numerical positioning of the radiation source, representing the relative position information of the source at the measurement moment.

[0142] As Figure 2 and Figure 7 shown, the radiation data processing module includes:

[0143] The radiation correction sub-module analyzes the abnormal fluctuations in the data based on the positioning information of the radiation source position, eliminates the abnormal data, and corrects the deviation in the radiation intensity data to obtain the radiation correction data;

[0144] First, by integrating the real-time positioning information of the radiation source, the position of the radiation source is determined. Taking this as a reference, the fluctuations in the radiation intensity data are further analyzed. If there are obvious abnormal fluctuations in the radiation intensity within a certain period, the system will first perform screening, identify and eliminate the abnormal data points that do not meet the expectations. Taking the radiation intensity value as an example, assume that within a certain period, the radiation intensity is 0.15 μSv / h, while the radiation intensity in the adjacent periods is between 0.03 μSv / h and 0.05 μSv / h. This value of 0.15 μSv / h will be marked as an abnormal data point and eliminated. After eliminating the abnormal data, the system will correct the remaining radiation intensity data. This correction process calculates the deviation by comparing the signal intensities at different positions and times, and compensates by adjusting the sensor sensitivity to ensure that the final radiation intensity data is more accurate. For example, if the sensor sensitivity is low in a certain period, resulting in the collected radiation intensity data being low, the system will correct the deviation according to the actually measured sensitivity information, and the adjusted data value is corrected from 0.04 μSv / h to 0.05 μSv / h. Finally, the corrected radiation data will more accurately reflect the actual radiation intensity.

[0145] The concentration analysis sub-module analyzes the change in the radiation concentration distribution in the differential region based on the radiation correction data, combines the geographical location information, calculates the radiation concentration of each region, and obtains the radiation concentration analysis result.

[0146] First, based on the radiation correction data, determine the radiation intensity of different regions and match the data with the corresponding geographical location information. For example, assume that within a certain region, the radiation intensities are 0.04 μSv / h, 0.05 μSv / h, and 0.06 μSv / h respectively, and the data corresponds to the geographical location coordinates (30.25°N, 90.75°W), (30.26°N, 90.76°W), and (30.27°N, 90.77°W) respectively. Then, the system will calculate the radiation concentration of the region through spatial weighting of the radiation intensity of each region. For example, if the geographical range of the region is 500 meters × 500 meters and the radiation intensities are 0.04 μSv / h, 0.05 μSv / h, and 0.06 μSv / h respectively, then the average radiation concentration of the region will be: (0.04 + 0.05 + 0.06) / 3 = 0.05 μSv / h. Further, the system will calculate the change trend of the radiation concentration through a spatial interpolation algorithm based on the radiation intensity of each region and in combination with the geographical coordinate information. Finally, the system outputs the analysis results of the radiation concentration, including the radiation concentration and distribution of each region.

[0147] It should be understood that the term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: the individual existence of A, the simultaneous existence of A and B, and the individual existence of B. Here, A and B can be singular or plural. In addition, the character " / " in this article generally represents an "or" relationship between the preceding and following associated objects, but it may also represent an "and / or" relationship, which can be specifically understood by referring to the context before and after.

[0148] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0149] It should be understood that in various embodiments of the present invention, the magnitude of the serial numbers of the above processes does not mean the sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0150] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0151] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0152] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0153] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] In addition, the functional units in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0155] When the above-mentioned 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 such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or a 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 and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0156] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An intelligent analysis system for nuclear radiation data, characterized in that The system includes: The acquisition planning module obtains the hydrodynamic data of the current ocean area, analyzes the relationship between the change rate of radiation intensity and the flow state through the data collected by the nuclear radiation sensors carried on the unmanned ship, monitors the changes of the target radiation source in real time, dynamically adjusts the path of the unmanned ship, and obtains the path optimization configuration; Based on the path optimization configuration, the radiation intensity monitoring module analyzes the collected radiation intensity and frequency information, judges the radiation intensity fluctuation according to the ocean current velocity and temperature change in the current area, corrects the original data, and generates the radiation intensity change data; Based on the radiation intensity change data, the sensor adjustment module analyzes the current radiation intensity fluctuation range, combines the water depth, ocean current velocity and temperature change, judges the influence of environmental factors on the sensor, automatically adjusts the sensor sensitivity, and updates its sampling frequency to obtain the sensor sensitivity adjustment configuration; Based on the sensor sensitivity adjustment configuration, the radiation source positioning module combines the real-time geographical location, ocean current velocity and temperature information, calculates the position of the radiation source through waveform analysis, continuously updates the position coordinates of the radiation source, and obtains the radiation source position positioning information.

2. The intelligent analysis system for nuclear radiation data according to claim 1, characterized in that The path optimization configuration includes the optimal path, the optimal traveling speed, and the optimal target area. The radiation intensity change data includes the radiation intensity fluctuation range, the dynamic change trend of the radiation source, and the data correction result. The sensor sensitivity adjustment configuration includes the sensitivity adjustment value, the detection range optimization result, and the sampling frequency update result.

3. The intelligent analysis system for nuclear radiation data according to claim 1, wherein The acquisition planning module includes: The fluid state acquisition sub-module obtains the hydrodynamic data of the current ocean area, monitors the flow state of the ocean fluid through the nuclear radiation sensors carried on the unmanned ship, collects the water flow velocity and direction information, and calculates the changes of the flow velocity and direction in the area to obtain the flow state data; Based on the flow state data, the radiation monitoring and analysis sub-module analyzes the change of radiation intensity, calculates the change rate of radiation intensity over time, compares it with the ocean flow state, and screens the areas where the radiation intensity changes significantly to obtain the radiation change data; Based on the radiation change data, the path optimization and adjustment sub-module analyzes the influence on the path of the unmanned ship, adjusts the traveling direction and speed of the unmanned ship, optimizes the path planning, and obtains the path optimization configuration.

4. The intelligent analysis system for nuclear radiation data according to claim 1, wherein The radiation intensity monitoring module includes: Based on the path optimization configuration, the radiation data analysis sub-module analyzes the collected radiation intensity and frequency information, combines the current ocean current velocity and temperature change data, screens the key data points of the fluctuation, and conducts a preliminary analysis on them to evaluate the radiation intensity fluctuation trend and obtain the radiation fluctuation data; Based on the radiation fluctuation data, the change trend analysis sub-module analyzes the dynamic change trend of the radiation source, combines the radiation intensity data and environmental changes in multiple time periods, judges the relationship between radiation fluctuation and velocity change, determines the potential change trend of the radiation source, and generates the radiation source dynamic trend; Based on the radiation source dynamic trend, the data correction sub-module corrects the original radiation data, eliminates the abnormal data points that do not conform to the trend, and corrects the data in combination with environmental factors to obtain the radiation intensity change data.

5. The intelligent analysis system for nuclear radiation data according to claim 1, wherein, The sensor adjustment module includes: Based on the radiation intensity change data, the radiation fluctuation analysis sub-module analyzes the current radiation intensity fluctuation range, combines the water depth, ocean current velocity and temperature change, compares the radiation data in each time period, evaluates the change trend of the radiation fluctuation range, and obtains the radiation range data; Based on the radiation range data, the environmental factor evaluation sub-module analyzes the influence of environmental factors on the sensor detection, evaluates the interference degree of environmental fluctuation on the radiation intensity, and determines the sensor parameters that need to be corrected, so as to obtain the environmental impact evaluation log; According to the environmental impact evaluation log, the sensitivity adjustment sub-module automatically adjusts the sensor sensitivity, optimizes the detection range and sampling frequency of the sensor, and matches the current acquisition conditions to obtain the sensor sensitivity adjustment configuration.

6. The intelligent analysis system for nuclear radiation data according to claim 5, wherein, Based on the radiation range data, the formula is used: Calculate the environmental impact assessment results to obtain the corrected radiation intensity I adj , where R i represents the radiation value of the i-th measurement, R nom represents the calibrated radiation value, T i represents the temperature value of the i-th measurement, T nom represents the calibrated temperature value, S i represents the sensor reading of the i-th measurement, S nom represents the calibrated sensor reading, α represents the influence factor of temperature on radiation intensity, β represents the influence factor of sensor reading on radiation intensity, and n represents the number of measurements.

7. The intelligent analysis system for nuclear radiation data according to claim 1, wherein The radiation source positioning module includes: According to the sensor sensitivity adjustment configuration, the signal difference analysis sub-module acquires the data collected by the nuclear radiation sensor moving with the unmanned ship, combines the real-time geographical location, ocean current velocity and temperature information, calculates the difference between the collected signal and the sensor, analyzes the relationship between the signal intensity and the sensor position, and screens out potential signal deviations to obtain the signal difference data; Based on the signal difference data, the radiation source calculation sub-module calculates the radiation source position through waveform analysis, makes dynamic corrections for environmental impacts, and continuously updates the position coordinates of the radiation source to obtain the radiation source position positioning information.

8. The intelligent analysis system for nuclear radiation data according to claim 7, wherein Calculating the radiation source position through waveform analysis, the formula is used: Obtain the radiation source position information LF and continuously update the radiation source position coordinates, where n L represents the number of waveform data points, DL z represents the signal intensity difference corresponding to the z-th time point, DL z-1 represents the signal intensity difference value corresponding to the (z - 1)-th time point, ΔTL z represents the change in the time interval between the z-th data point and the previous point, TL z represents the time delay parameter at the z-th time point.

9. The intelligent analysis system for nuclear radiation data according to claim 1, characterized in that The system further includes: Based on the radiation source position positioning information, the radiation data processing module eliminates abnormal data, corrects the valid data, and analyzes the change of the radiation concentration distribution in the difference area to obtain the radiation concentration analysis result; The radiation concentration analysis result includes the radiation concentration distribution map and the corrected radiation concentration data.

10. The intelligent analysis system for nuclear radiation data according to claim 9, wherein The radiation data processing module includes: Based on the radiation source position positioning information, the radiation correction sub-module analyzes the abnormal fluctuations in the data, eliminates the abnormal data, and corrects the deviation in the radiation intensity data to obtain the radiation correction data; Based on the radiation correction data, the concentration analysis sub-module analyzes the change of the radiation concentration distribution in the difference area, combines the geographical location information, and calculates the radiation concentration of each area to obtain the radiation concentration analysis result.

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