Underwater gamma radiation monitoring simulation training method and training device

Abstract

This application provides a method and device for underwater gamma radiation monitoring simulation training, relating to the technical field of water radioactivity monitoring simulation. The method is applied to a management server and includes: calculating a three-dimensional spatial simulated radiation field based on radiation source items; obtaining positioning data sent by a simulation training device; determining the relative position of the simulation training device in the three-dimensional spatial simulated radiation field based on the positioning data; calculating gamma radiation data at the simulation training device based on the relative position; and transmitting the gamma radiation data to the simulation training device. This application enables underwater gamma radiation monitoring simulation training without the need for a real radiation source.

Description

Technical Field

[0001] The present application relates to the technical field of water radioactivity monitoring simulation, and in particular to an underwater gamma radiation monitoring simulation training method and training device. Background Art

[0002] The number of coastal nuclear power plants continues to increase, and nuclear accidents could lead to radioactive contamination of the ocean and impact the aquatic environment. Accurately measuring the three-dimensional distribution of radionuclides in contaminated waters is crucial for developing emergency response plans. In situ measurements of radioactive contamination in marine waters are difficult due to the high self-absorption coefficients and low concentrations of characteristic α and β rays in water. However, γ rays, with their superior penetrating power and minimal self-absorption, are ideal for in situ measurements.

[0003] Underwater gamma radiation monitoring simulation training can effectively enhance rapid response capabilities to radioactive contamination in water bodies during emergencies such as nuclear accidents. Through simulation training, personnel can become familiar with equipment operating procedures, verify the reliability of monitoring methods, and improve monitoring personnel's response capabilities and data collection accuracy. This provides strong support for radiation contamination monitoring and decision-making during emergencies, ensuring environmental safety and public health. Therefore, a method for implementing underwater gamma radiation monitoring simulation training is needed. Summary of the Invention

[0004] The present application provides an underwater gamma radiation monitoring simulation training method and training device, which can realize underwater gamma radiation monitoring simulation training without using a real radiation source.

[0005] In a first aspect of the present application, a method for underwater gamma radiation monitoring simulation training is provided, which is applied to a management server and includes:

[0006] Calculate a three-dimensional simulated radiation field in a space based on the radiation source term;

[0007] Obtain positioning data sent by simulation training equipment;

[0008] Determining the relative position of the simulation training device in the three-dimensional simulated radiation field of the space based on the positioning data;

[0009] Calculating gamma radiation data at the simulation training device according to the relative position;

[0010] The gamma radiation data is sent to the simulation training device.

[0011] On the basis of the above technical solution, preferably, determining the relative position of the simulation training device in the three-dimensional simulated radiation field in the space based on the positioning data specifically includes:

[0012] Determining a first longitude, a first latitude, and a first depth corresponding to the positioning data;

[0013] Determining a second longitude, a second latitude, and a second depth of each grid point in the three-dimensional spatial simulated radiation field;

[0014] Compare the first longitude with the second longitude, compare the first latitude with the second latitude, and compare the first depth with the second depth respectively to determine the relative position of the simulation training device relative to the grid of the three-dimensional simulated radiation field in space, wherein the relative position includes the device position on the grid point, the device position on the grid line, the device position on the grid surface, and the device position within the grid cube.

[0015] On the basis of the above technical solution, preferably, the calculating of the gamma radiation data at the simulation training device according to the relative position specifically includes:

[0016] If the relative position is determined to be that the device is located on a grid line, the gamma radiation data is calculated using the following formula:

[0017]

[0018] Among them, R d is the gamma radiation data, d1 is the straight-line distance between the device position point and the first grid point on the target grid line, d2 is the straight-line distance between the device position point and the second grid point on the target grid line, the device position point is the position point of the simulation training device, the target grid line is the grid line where the device position point is located, the first grid point and the second grid point are two fixed points on the target grid line, R p1 is the initial radiation data of the first grid point, R p2 is the initial radiation data of the second grid point.

[0019] On the basis of the above technical solution, preferably, the step of calculating the gamma radiation data at the simulation training device according to the relative position further includes:

[0020] If it is determined that the relative position is that the device is located on a grid line, or that the relative position is that the device is located on a grid surface, or that the relative position is that the device is located within a grid cube, the gamma radiation data is calculated using the following formula:

[0021]

[0022] Among them, R d is the gamma radiation data, n is the number of adjacent grid points at the device location, d iis the straight-line distance between the ith adjacent grid point and the device location, d j is the straight-line distance between the jth adjacent grid point and the device location point, R pj is the initial radiation data of the jth adjacent grid point, and the device location point is the location point of the simulation training device.

[0023] On the basis of the above technical solution, preferably, the step of calculating the gamma radiation data at the simulation training device according to the relative position further includes:

[0024] If it is determined that the relative position is that the device is located at a target grid point, obtaining initial radiation data of the target grid point;

[0025] The initial radiation data is determined to be gamma radiation data at the simulation training device.

[0026] On the basis of the above technical solution, preferably, the step of calculating a three-dimensional simulated radiation field in a space according to the radiation source term specifically includes:

[0027] Acquire a radiation source item of a predefined radiation source, where the radiation source item includes a position coordinate of the radiation source, an intensity of the radiation source, a radiation type of the radiation source, and a radiation energy spectrum;

[0028] Constructing a simulated three-dimensional space according to the actual training space, and dividing the simulated three-dimensional space into a three-dimensional network;

[0029] Determining a radiation source position of the radiation source in the simulated three-dimensional space according to the radiation source item;

[0030] According to the fact that gamma rays are also affected by water absorption and scattering, the radiation attenuation model is determined;

[0031] Based on the radiation source term, a Monte Carlo method is used to simulate the random propagation paths of gamma rays from a source point to grid points of different three-dimensional grids in space, and in each of the random propagation paths, by setting a scattering probability and an attenuation coefficient, the energy change and propagation direction of the gamma rays after each scattering event are calculated;

[0032] Calculating the average radiation intensity for each grid point based on the results obtained from the Monte Carlo simulation and the radiation attenuation model to obtain initial radiation data for each grid point;

[0033] The initial radiation data is matched with the positions of the grid points to construct the spatial three-dimensional simulated radiation field.

[0034] On the basis of the above technical solution, preferably, after sending the gamma radiation data to the simulation training device, the method further includes:

[0035] The gamma radiation data and the positioning data are sent to a central management server so that the central management server receives, processes and distributes training data, where the training data is the processed gamma radiation data and the positioning data.

[0036] In a second aspect of the present application, a simulation training device for underwater gamma radiation monitoring is provided. The training device is a management server, and the device includes a processing module, an acquisition module, and a sending module, wherein:

[0037] The processing module is used to calculate a three-dimensional simulated radiation field in a space based on the radiation source term;

[0038] The acquisition module is used to acquire the positioning data sent by the simulation training device;

[0039] The processing module is used to determine the relative position of the simulation training device in the three-dimensional simulated radiation field in the space based on the positioning data;

[0040] The processing module is used to calculate the gamma radiation data at the simulation training device according to the relative position;

[0041] The sending module is used to send the gamma radiation data to the simulation training device.

[0042] On the basis of the above technical solution, preferably, the processing module is used to determine the first longitude, the first latitude and the first depth corresponding to the positioning data;

[0043] The processing module is used to determine the second longitude, second latitude and second depth of each grid point in the spatial three-dimensional simulated radiation field;

[0044] The processing module is used to compare the first longitude with the second longitude, the first latitude with the second latitude, and the first depth with the second depth, respectively, to determine the relative position of the simulation training device relative to the grid of the three-dimensional simulated radiation field in space, where the relative position includes the device position on the grid point, the device position on the grid line, the device position on the grid surface, and the device position within the grid cube.

[0045] Based on the above technical solution, preferably, the processing module is configured to calculate the gamma radiation data using the following formula if it is determined that the relative position is that the device position is on a grid line:

[0046]

[0047] Among them, R dis the gamma radiation data, d1 is the straight-line distance between the device position point and the first grid point on the target grid line, d2 is the straight-line distance between the device position point and the second grid point on the target grid line, the device position point is the position point of the simulation training device, the target grid line is the grid line where the device position point is located, the first grid point and the second grid point are two fixed points on the target grid line, R p1 is the initial radiation data of the first grid point, R p2 is the initial radiation data of the second grid point.

[0048] Based on the above technical solution, preferably, the processing module is configured to calculate the gamma radiation data using the following formula if it is determined that the relative position is that the device position is on a grid line, or that the relative position is that the device position is on a grid surface, or that the relative position is that the device position is within a grid cube:

[0049]

[0050] Among them, R d is the gamma radiation data, n is the number of adjacent grid points at the device location, d i is the straight-line distance between the ith adjacent grid point and the device location, d j is the straight-line distance between the jth adjacent grid point and the device location point, R pj is the initial radiation data of the jth adjacent grid point, and the device location point is the location point of the simulation training device.

[0051] On the basis of the above technical solution, preferably, the processing module is used to obtain initial radiation data of the target grid point if it is determined that the relative position is that the device is located on the target grid point;

[0052] The processing module is used to determine that the initial radiation data is gamma radiation data at the simulation training device.

[0053] On the basis of the above technical solution, preferably, the acquisition module is used to acquire radiation source items of a predefined radiation source, wherein the radiation source items include the position coordinates of the radiation source, the intensity of the radiation source, the radiation type of the radiation source, and the radiation energy spectrum;

[0054] The processing module is used to construct a simulated three-dimensional space according to the actual training space, and divide the simulated three-dimensional space into a three-dimensional network;

[0055] The processing module is used to determine the radiation source position of the radiation source in the simulated three-dimensional space according to the radiation source item;

[0056] The processing module is used to determine a radiation attenuation model based on the fact that gamma rays are also affected by absorption and scattering of water in water;

[0057] The processing module is configured to simulate, based on the radiation source term, a random propagation path of gamma rays from a source point to grid points of different three-dimensional grids in space using a Monte Carlo method, and calculate, in each of the random propagation paths, an energy change and a propagation direction of the gamma rays after each scattering event by setting a scattering probability and an attenuation coefficient;

[0058] The processing module is used to calculate the average radiation intensity for each grid point based on the results obtained by Monte Carlo simulation and the radiation attenuation model, and obtain the initial radiation data of each grid point;

[0059] The processing module is used to correspond the initial radiation data with the positions of the grid points to construct the spatial three-dimensional simulated radiation field.

[0060] Based on the above technical solution, preferably, the sending module is used to send the gamma radiation data and the positioning data to the central management server so that the central management server can receive, process and distribute training data, and the training data is the data after processing the gamma radiation data and the positioning data.

[0061] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any of the methods described above.

[0062] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions. When the instructions are executed, any one of the methods described above is executed.

[0063] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0064] 1. The management server pre-calculates a three-dimensional simulated radiation field that includes radiation source items. Based on the real-time positioning data of the simulated training device, it accurately determines the device's relative position within the radiation field and calculates the gamma radiation intensity at that location. Ultimately, this radiation data is sent to the device for display and alarm. This process provides real-time feedback on the device's radiation level in the underwater environment, allowing operators to intuitively experience changes in radiation intensity within the simulated scenario. This effectively simulates the monitoring process of an actual underwater radiation environment. Without the need for actual radiation sources, this helps trainees familiarize themselves with the operation of the monitoring equipment, verify the accuracy of monitoring methods, and improve emergency response capabilities, thus achieving the purpose of underwater gamma radiation monitoring simulation training.

[0065] 2. By accurately determining the relative position of the device within the three-dimensional radiation field grid and calculating the gamma radiation data at the device location using inverse distance square weighting, the system effectively estimates the radiation intensity within the grid point, grid line, grid surface, or grid cube where the device is located. This system can flexibly adapt to different location conditions, providing real-time display of radiation levels at the device location through precise radiation data feedback, allowing trainees to experience the spatial variation and attenuation of radiation intensity in a simulated environment.

[0066] 3. This application constructs a three-dimensional underwater simulation space by acquiring characteristic data of the radiation source and using the Monte Carlo method to simulate the random propagation paths of gamma rays. This accurately calculates the initial radiation intensity at each grid point, generating a highly accurate three-dimensional simulated radiation field. This solution effectively simulates the true distribution characteristics of underwater radiation, including attenuation and scattering patterns, providing realistic and reliable radiation data for equipment during simulation training. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is a flow chart of an underwater gamma radiation monitoring simulation training method disclosed in an embodiment of the present application;

[0068] Figure 2 This is a diagram of the operation and coordination of a communication relay transmission device disclosed in an embodiment of the present application in an underwater gamma radiation monitoring simulation training method;

[0069] Figure 3 This is a principle block diagram of a simulation training device disclosed in the embodiment of this application

[0070] Figure 4 This is a module diagram of an underwater gamma radiation monitoring simulation training device disclosed in an embodiment of the present application;

[0071] Figure 5 This is a structural diagram of an electronic device disclosed in an embodiment of the present application.

[0072] Explanation of reference numerals: 401, processing module; 402, acquisition module; 403, sending module; 501, processor; 502, communication bus; 503, user interface; 504, network interface; 505, memory. DETAILED DESCRIPTION

[0073] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0074] In the description of the embodiments of this application, words such as "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "for example" or "for instance" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "for example" or "for instance" is intended to present the relevant concepts in a concrete manner.

[0075] In the description of the embodiments of the present application, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0076] Nuclear accidents can lead to marine contamination with radioactive materials. Therefore, accurately measuring the distribution of radionuclides in contaminated waters is crucial for emergency response. Alpha and beta radiation are difficult to measure in situ due to their high self-absorption and low concentrations in water. However, gamma radiation, with its strong penetrating power, is ideal for underwater in situ measurement. Underwater gamma radiation monitoring simulation training can effectively improve emergency response speed, familiarize personnel with equipment operation and monitoring procedures, verify the reliability of methods, and help monitors collect more accurate data during accidents. This supports radiation contamination monitoring and emergency decision-making, ensuring environmental and public safety.

[0077] This embodiment discloses a method for underwater gamma radiation monitoring simulation training. Figure 1 , including the following steps S110-S150:

[0078] S110, calculating a three-dimensional simulated radiation field in a space according to the radiation source term.

[0079] The underwater gamma radiation monitoring simulation training method disclosed in the embodiment of the present application is applied to the management server, referring to Figure 2 On-site trainees carry simulation training equipment to acquire their own positioning data within a specific area. The simulation training equipment transmits data via radio signals to a communication relay device, which then relays the monitoring data to a remote on-site management platform. Operated by a dispatcher, the on-site management platform receives and analyzes the transmitted positioning data in real time, monitoring and managing the training process. The entire system utilizes wireless signal transmission to enable real-time data sharing and feedback, ensuring safe and effective training in radiation environments.

[0080] The on-site management platform, communication relay transmission device, and all simulation training equipment use Wi-Fi for data exchange. All simulation training equipment prioritizes Wi-Fi communication with the on-site management platform. When the simulation training equipment is too far away from the on-site management platform, the communication relay transmission device can be used to achieve relay transmission, expanding the Wi-Fi communication range. The on-site management platform and the control center management platform use 4G wireless transmission for data exchange, and devices within the control center use wired network connections for data exchange.

[0081] The management server includes, but is not limited to, electronic devices such as mobile phones, tablet computers, wearable devices, and PCs (Personal Computers), and may also be a background server for running an underwater gamma radiation monitoring simulation training method. The server may be implemented as a standalone server or a server cluster consisting of multiple servers.

[0082] In one possible implementation, a three-dimensional simulated radiation field in space is calculated based on the radiation source term, specifically including: obtaining the radiation source term of a predefined radiation source, the radiation source term including the position coordinates of the radiation source, the intensity of the radiation source, the radiation type of the radiation source, and the radiation energy spectrum; constructing a simulated three-dimensional space based on the actual training space, and dividing the simulated three-dimensional space into a three-dimensional network; determining the radiation source position of the radiation source in the simulated three-dimensional space based on the radiation source term; determining a radiation attenuation model based on the fact that gamma rays in water are also affected by the absorption and scattering of water; using the Monte Carlo method based on the radiation source term, simulating the random propagation path of gamma rays from the source point to the grid points of different three-dimensional grids in space, and in each random propagation path, calculating the energy change and propagation direction of the gamma rays after each scattering event by setting the scattering probability and attenuation coefficient; calculating the average radiation intensity for each grid point based on the results obtained from the Monte Carlo simulation and the radiation attenuation model, and obtaining the initial radiation data of each grid point; and constructing a three-dimensional simulated radiation field in space by corresponding the initial radiation data to the position of the grid point.

[0083] Specifically, the on-site management server pre-calculates a three-dimensional simulated radiation field for a given space using Monte Carlo methods and other methods based on the radiation source terms. The data point step size for the simulated radiation field is typically 1 meter, depending on the size of the space. Once the longitude and latitude of the accident point are determined, the longitude and latitude of other points in the simulated radiation field are automatically determined based on the step size. The training space is then divided into grids based on longitude, latitude, and altitude (or water depth).

[0084] Predefined radiation source information includes location coordinates, radiation source intensity, radiation type, and energy spectrum. The location coordinates represent the specific location of the radiation source in three-dimensional space. The radiation intensity represents the radiation activity or intensity of the source, which determines the initial radiation dose. The radiation type and energy spectrum represent the energy distribution and specific characteristics of the gamma rays. These parameters affect the propagation, scattering, and attenuation of gamma rays in water.

[0085] Set the spatial range based on the actual training environment to cover potential radiation impact areas. Divide the simulation space into a 3D grid, with each grid cell representing a cubic unit. The step size can be 1 meter or another appropriate distance, depending on the training requirements. Each grid point represents a spatial coordinate, and the radiation intensity value at that point will be recorded later.

[0086] Use the coordinates of the radiation source to mark the source location in the 3D network. Use the source location to determine the initial direction of the ray emission. Set the number, direction, and angle distribution of gamma rays emitted from the source to ensure that the simulated radiation distribution is consistent with the actual radiation characteristics.

[0087] Gamma rays in water are affected by absorption and scattering by water molecules, so an attenuation model is necessary. The intensity of gamma rays typically decays inversely proportional to the square of the distance, meaning the intensity decreases with increasing distance. Since water absorbs gamma rays, the water attenuation coefficient (μ) is set based on the energy of the gamma rays and the absorption characteristics of water:

[0088]

[0089] Where I(r) is the radiation intensity at any grid point, I0 is the initial radiation intensity, r is the distance from the source to any grid point, and μ is the linear attenuation coefficient of water.

[0090] Here, e -μr The absorption and scattering effects in water are shown. μ is the linear attenuation coefficient of the material, which generally depends on the water density and the energy of the gamma ray. Gamma rays scatter when propagating in water, and the scattering probability is related to the ray energy and water density. For each scattering event, a scattering angle distribution is set and the ray direction is updated.

[0091] The Monte Carlo method is then used to simulate the random propagation paths of gamma rays from the source to different grid points in space, including both direct and scattered paths. Monte Carlo simulations generate a large number of random rays and, based on their collisions and scattering processes, record the number and energy of gamma rays received at each grid point. In each simulated path, gamma rays may be scattered or absorbed at different depths and locations. By setting the scattering probability and attenuation coefficient, the energy change and propagation direction of the gamma rays after each scattering event are calculated.

[0092] For each grid point, multiple gamma-ray simulation results are accumulated, summing the energy contributions of all rays reaching that point to obtain the average radiation intensity at that point. This effectively simulates the multiple scattering and attenuation characteristics of the underwater radiation field. Finally, the initial radiation data for each grid point is mapped to its spatial coordinates and stored in the management server to form a three-dimensional radiation field.

[0093] S120: Acquire positioning data sent by the simulation training device.

[0094] Reference Figure 3 The underwater gamma radiation monitoring simulation training equipment includes a lithium battery, a low-power processing and control module, a Wi-Fi ad hoc network module, a differential Beidou module, a display screen, and an underwater gamma radiation detection simulation device. The differential Beidou positioning system, based on Beidou network RTK technology, establishes one or more reference stations (this training platform uses one) within the area. Using these reference stations with known precise 3D coordinates, gridded differential correction data is generated in real time through computational processing to determine pseudorange or position corrections. These corrections are then sent to the user in real time or post-processing to correct their measurement data. This method provides reliable, highly accurate, and consistently accurate RTK positioning results. The underwater gamma radiation detection device is equipped with a pressure sensor. Once submerged, it measures water depth. This pressure sensor is ideal for high-precision water depth measurement, with a resolution of up to 2mm. The pressure sensor module includes a highly linear pressure sensing element and an ultra-low-power 24-bit ΔΣ ADC with built-in factory calibration coefficients. The pressure sensor provides high-precision 24-bit digital outputs for pressure and temperature, with configurable conversion speed and power consumption based on application needs. The high-resolution temperature output also allows for thermometer functionality. The pressure sensor is compatible with all microcontrollers, and the communication protocol is simple, eliminating the need to modify internal registers.

[0095] The simulation training device regularly obtains its own positioning data (first longitude, first latitude) and water depth (first depth) data and publishes them to the on-site operation management service platform. The on-site operation management service platform then sends the calculated and matched underwater gamma radiation monitoring data to the simulation training device. After receiving the data, the simulation training device displays and makes an over-threshold alarm judgment.

[0096] S130: Determine the relative position of the simulation training device in the three-dimensional simulated radiation field based on the positioning data.

[0097] In a possible embodiment, based on the positioning data, the relative position of the simulation training device in the three-dimensional simulated radiation field in space is determined, specifically including: determining the first longitude, first latitude and first depth corresponding to the positioning data; determining the second longitude, second latitude and second depth of each grid point in the three-dimensional simulated radiation field in space; comparing the first longitude with the second longitude, the first latitude with the second latitude, and the first depth with the second depth, respectively, to determine the relative position of the simulation training device relative to the grid of the three-dimensional simulated radiation field in space, the relative position including the device position on the grid point, the device position on the grid line, the device position on the grid surface and the device position within the grid cube.

[0098] Specifically, the coordinate data for each grid point is extracted from the 3D simulated radiation field model, including the longitude, latitude, and depth (or altitude) of each grid point. These data are defined as the second longitude, second latitude, and second depth. The 3D grid points are divided into a series of regularly spaced grid points (e.g., 1 meter). The coordinate information of these grid points can be derived using formulas or obtained through table lookup.

[0099] Compare the device's first longitude with the second longitude of the radiation field grid points to determine the device's longitude range. Compare the device's first latitude with the second latitude of the grid points to determine the device's relative latitude. Compare the device's first depth with the second depth of the grid points to confirm the device's depth range.

[0100] If the device's longitude, latitude, and depth all exactly match the coordinates of a grid point, the device is located at that grid point. If the device's positioning data matches a position between two grid points in one direction (for example, on a line of longitude or latitude), the device is on a grid line. If the device's position is on a face of the grid (that is, on a plane but between two points in depth), the device is on the grid face. If the device's longitude, latitude, and depth do not exactly match any grid point, but are within the cube formed by eight adjacent grid points, the device is within that grid cube.

[0101] S140, calculating gamma radiation data at the simulation training device according to the relative position.

[0102] If the device location happens to fall on a grid point, the initial radiation data of the grid point is directly read as the device's γ radiation data, denoted as R d =R p This avoids additional calculations because the radiation intensity data at the device location is now provided directly by the grid points.

[0103] If the device is located on a grid line and the device point is between two adjacent grid points, the two adjacent grid points on the line are selected and the radiation intensity is calculated using the inverse square weighting formula of the distance. The closer grid point contributes more to the radiation data of the device location. The specific calculation is done using the following formula:

[0104]

[0105] Among them, R d is the γ radiation data, d1 is the straight-line distance between the device location point and the first grid point on the target grid line, d2 is the straight-line distance between the device location point and the second grid point on the target grid line, the device location point is the location point of the simulation training device, the target grid line is the grid line where the device location point is located, the first grid point and the second grid point are the two fixed points of the target grid line, R p1 is the initial radiation data of the first grid point, R p2 is the initial radiation data of the second grid point.

[0106] According to the attenuation characteristics of radiation intensity, the radiation intensity I of the source will decrease in inverse proportion to the square of the distance r in an obstacle-free environment:

[0107]

[0108] Therefore, when calculating the radiation intensity at a device location, grid points that are closer have a greater impact on the radiation at that location, while grid points that are farther away have a smaller impact.

[0109] Assuming the device is located on a line, surface, or cube within the grid, its radiation intensity is affected by multiple surrounding grid points. Using the inverse square distance weighting method, the radiation data of each adjacent point is weighted inversely proportional to the square of the distance and summed to obtain an estimated radiation intensity value for the device location. That is, if the management server determines that the relative position is that the device is located on a grid line, on a grid surface, or within a grid cube, the gamma radiation data is calculated using the following formula:

[0110]

[0111] Among them, R d is the γ radiation data, n is the number of adjacent grid points at the device location, d i is the straight-line distance between the ith adjacent grid point and the device location, d j is the straight-line distance between the jth adjacent grid point and the device location point, R pj is the initial radiation data of the jth adjacent grid point, and the device location point is the location point of the simulated training device.

[0112] In the above formula, the weight w of each adjacent point is j It is defined based on the inverse square of the distance:

[0113]

[0114] The physical meaning of this weighting method is that grid points that are closer contribute greater weight, while points that are farther away have smaller weights, so that the calculated results are closer to the radiation intensity at the actual device location.

[0115] When a device is on a grid line, it is affected by two adjacent grid points, so n = 2, and a weighted calculation is performed using the inverse square of the distance between the two grid points. When a device is on a grid surface, it is affected by four adjacent grid points, so n = 4, and the radiation intensity is calculated using the weighted average of the four points. When a device is located within a grid cube, it is affected by the cube's eight vertices, so n = 8, and the radiation intensity at the device location is calculated using the weighted average of the eight points.

[0116] S150: Sending gamma radiation data to the simulation training device.

[0117] The calculated gamma radiation data is transmitted in real time to the simulator. Upon receiving the data, the simulator displays the radiation intensity data at the current location on the device's display screen. If the radiation intensity exceeds a set threshold, the device triggers an alarm (such as a beep or flashing light) to alert the operator to the radiation risk in the current environment. As the device moves, the location and radiation data are updated in real time, creating a dynamic radiation intensity monitoring effect, helping the operator perceive radiation changes at different locations.

[0118] The management server sends gamma radiation data and positioning data to the central management server so that the central management server can receive, process, and distribute training data. The training data is the processed gamma radiation data and positioning data. The radiation data, location information, and alarm status of all simulation training equipment are summarized. This data includes not only the monitoring data of individual equipment, but also the overall radiation distribution status of the training field. The radiation data and the location and status of the simulation training equipment are projected in real time on the large screen of the control center, visually presenting the distribution of the underwater radiation field and the radiation monitoring status of each device. A three-dimensional radiation field distribution map is generated on the large screen, indicating the location of each simulation training device, real-time radiation intensity data, and alarm status, allowing command personnel to intuitively view the radiation status of the entire underwater environment.

[0119] This embodiment also discloses an underwater gamma radiation monitoring simulation training device, the training device is a management server, referring to Figure 4 The device includes a processing module 401, an acquisition module 402 and a sending module 403, wherein:

[0120] The processing module 401 is used to calculate a three-dimensional simulated radiation field in a space according to the radiation source term.

[0121] The acquisition module 402 is used to acquire the positioning data sent by the simulation training device.

[0122] The processing module 401 is used to determine the relative position of the simulation training device in the three-dimensional simulated radiation field in space based on the positioning data.

[0123] The processing module 401 is used to calculate the gamma radiation data at the simulated training device according to the relative position.

[0124] The sending module 403 is used to send the gamma radiation data to the simulation training device.

[0125] In a possible implementation, the processing module 401 is configured to determine a first longitude, a first latitude, and a first depth corresponding to the positioning data.

[0126] The processing module 401 is configured to determine a second longitude, a second latitude, and a second depth of each grid point in the three-dimensional spatial simulated radiation field.

[0127] Processing module 401 is used to compare the first longitude with the second longitude, the first latitude with the second latitude, and the first depth with the second depth, respectively, to determine the relative position of the simulation training device relative to the grid of the three-dimensional simulated radiation field in space, the relative position including the device position on the grid point, the device position on the grid line, the device position on the grid surface, and the device position within the grid cube.

[0128] In one possible implementation, the processing module 401 is configured to calculate the gamma radiation data using the following formula if the relative position is determined to be that the device is on a grid line:

[0129]

[0130] Among them, R d is the γ radiation data, d1 is the straight-line distance between the device location point and the first grid point on the target grid line, d2 is the straight-line distance between the device location point and the second grid point on the target grid line, the device location point is the location point of the simulation training device, the target grid line is the grid line where the device location point is located, the first grid point and the second grid point are the two fixed points of the target grid line, R p1 is the initial radiation data of the first grid point, R p2 is the initial radiation data of the second grid point.

[0131] In one possible implementation, the processing module 401 is configured to calculate the gamma radiation data using the following formula if it is determined that the relative position is the device position on a grid line, or the relative position is the device position on a grid surface, or the relative position is the device position within a grid cube:

[0132]

[0133] Among them, R d is the γ radiation data, n is the number of adjacent grid points at the device location, d i is the straight-line distance between the ith adjacent grid point and the device location, d j is the straight-line distance between the jth adjacent grid point and the device location point, R pj is the initial radiation data of the jth adjacent grid point, and the device location point is the location point of the simulated training device.

[0134] In a possible implementation, the processing module 401 is configured to obtain initial radiation data of the target grid point if it is determined that the relative position is that the device is located at the target grid point.

[0135] The processing module 401 is configured to determine that the initial radiation data is gamma radiation data at a simulated training device.

[0136] In a possible implementation, the acquisition module 402 is configured to acquire radiation source items of a predefined radiation source, where the radiation source items include the position coordinates of the radiation source, the intensity of the radiation source, the radiation type of the radiation source, and the radiation energy spectrum.

[0137] The processing module 401 is used to construct a simulated three-dimensional space according to the actual training space, and divide the simulated three-dimensional space into three-dimensional networks.

[0138] The processing module 401 is configured to determine the radiation source position of the radiation source in the simulated three-dimensional space according to the radiation source item.

[0139] The processing module 401 is used to determine a radiation attenuation model based on the fact that gamma rays in water are also affected by absorption and scattering of water.

[0140] Processing module 401 is used to simulate the random propagation paths of gamma rays from the source point to the grid points of different three-dimensional grids in space using the Monte Carlo method based on the radiation source term. In each random propagation path, by setting the scattering probability and attenuation coefficient, the energy change and propagation direction of the gamma rays after each scattering event are calculated.

[0141] The processing module 401 is used to calculate the average radiation intensity for each grid point based on the results obtained by the Monte Carlo simulation and the radiation attenuation model, and obtain the initial radiation data of each grid point.

[0142] The processing module 401 is used to match the initial radiation data with the positions of the grid points to construct a three-dimensional spatial simulated radiation field.

[0143] It should be noted that the above embodiments provide devices that implement their functions using only the division of the above functional modules as examples. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0144] This embodiment also discloses an electronic device, referring to Figure 5 The electronic device may include: at least one processor 501 , at least one communication bus 502 , a user interface 503 , a network interface 504 , and at least one memory 505 .

[0145] The communication bus 502 is used to implement the connection and communication between these components.

[0146] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0147] Wherein, based on the above technical solutions, the network interface 504 may preferably include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0148] The processor 501 may include one or more processing cores. The processor 501 utilizes various interfaces and circuits to connect various parts of the entire server. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and calling data stored in the memory 505, the processor 501 performs various server functions and processes data. Based on the above technical solutions, preferably, the processor 501 can be implemented in the form of at least one hardware of a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 501 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display; and the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 501 and may be implemented separately on a single chip.

[0149] The memory 505 may include random access memory (RAM) or read-only memory (ROM). Based on the above technical solution, preferably, the memory includes a non-transitory computer-readable storage medium. The memory 505 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 505 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing each of the above-mentioned method embodiments, etc.; the data storage area may store data involved in each of the above-mentioned method embodiments, etc. Based on the above technical solution, the memory 505 may also preferably be at least one storage device located remotely from the aforementioned processor 501. As a computer storage medium, the memory 505 may include an operating system, a network communication module, a user interface 503 module, and an application for an underwater gamma radiation monitoring simulation training method.

[0150] exist Figure 5In the electronic device shown, the user interface 503 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 501 can be used to call an application program stored in the memory 505 for an underwater gamma radiation monitoring simulation training method. When executed by one or more processors 501, the electronic device executes one or more methods as in the above-mentioned embodiments.

[0151] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0152] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0153] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of units, which is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0154] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0155] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0156] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory 505 and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory 505 includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disk.

[0157] The present application also discloses a computer-readable storage medium storing instructions, which, when executed by one or more processors 501, enable an electronic device to execute one or more of the methods described in the above embodiments.

[0158] The above description is merely an exemplary embodiment of the present disclosure and is not intended to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for underwater gamma radiation monitoring simulation training, characterized in that: The method is applied to a management server and includes: Calculate a three-dimensional simulated radiation field in a space based on the radiation source term; Obtain positioning data sent by simulation training equipment; Determining the relative position of the simulation training device in the three-dimensional simulated radiation field of the space based on the positioning data; Calculating gamma radiation data at the simulation training device according to the relative position; sending the gamma radiation data to the simulation training device; Determining the relative position of the simulation training device in the three-dimensional simulated radiation field in the space based on the positioning data specifically includes: Determining a first longitude, a first latitude, and a first depth corresponding to the positioning data; Determining a second longitude, a second latitude, and a second depth of each grid point in the three-dimensional simulated radiation field; Respectively comparing the first longitude with the second longitude, the first latitude with the second latitude, and the first depth with the second depth to determine a relative position of the simulation training device relative to a grid of the three-dimensional simulated radiation field in space, the relative position including a device position on a grid point, a device position on a grid line, a device position on a grid surface, and a device position within a grid cube; Calculating the gamma radiation data at the simulation training device according to the relative position specifically includes: If the relative position is determined to be that the device is located on a grid line, the gamma radiation data is calculated using the following formula: Among them, R d is the gamma radiation data, d1 is the straight-line distance between the device position point and the first grid point on the target grid line, d2 is the straight-line distance between the device position point and the second grid point on the target grid line, the device position point is the position point of the simulation training device, the target grid line is the grid line where the device position point is located, the first grid point and the second grid point are two fixed points on the target grid line, R p1 is the initial radiation data of the first grid point, R p2 is the initial radiation data of the second grid point.

2. The underwater gamma radiation monitoring simulation training method according to claim 1, characterized in that: The calculating of the gamma radiation data at the simulation training device according to the relative position specifically includes: If it is determined that the relative position is that the device is located on a grid line, or that the relative position is that the device is located on a grid surface, or that the relative position is that the device is located within a grid cube, the gamma radiation data is calculated using the following formula: Among them, R d is the gamma radiation data, n is the number of adjacent grid points at the device location, d i is the straight-line distance between the ith adjacent grid point and the device location, d j is the straight-line distance between the jth adjacent grid point and the device location point, R pj is the initial radiation data of the jth adjacent grid point, and the device location point is the location point of the simulation training device.

3. The underwater gamma radiation monitoring simulation training method according to claim 1, characterized in that: The calculating of the gamma radiation data at the simulation training device according to the relative position specifically includes: If it is determined that the relative position is that the device is located at a target grid point, obtaining initial radiation data of the target grid point; The initial radiation data is determined to be gamma radiation data at the simulation training device.

4. The underwater gamma radiation monitoring simulation training method according to claim 1, characterized in that: The step of calculating a three-dimensional simulated radiation field in a space based on the radiation source term specifically includes: Acquire a radiation source item of a predefined radiation source, where the radiation source item includes a position coordinate of the radiation source, an intensity of the radiation source, a radiation type of the radiation source, and a radiation energy spectrum; Constructing a simulated three-dimensional space according to the actual training space, and dividing the simulated three-dimensional space into a three-dimensional network; Determining a radiation source position of the radiation source in the simulated three-dimensional space according to the radiation source item; According to the fact that gamma rays are also affected by water absorption and scattering, the radiation attenuation model is determined; Based on the radiation source term, a Monte Carlo method is used to simulate the random propagation paths of gamma rays from a source point to grid points of different three-dimensional grids in space, and in each of the random propagation paths, by setting a scattering probability and an attenuation coefficient, the energy change and propagation direction of the gamma rays after each scattering event are calculated; Calculating the average radiation intensity for each grid point based on the results obtained from the Monte Carlo simulation and the radiation attenuation model to obtain initial radiation data for each grid point; The initial radiation data is matched with the positions of the grid points to construct the spatial three-dimensional simulated radiation field.

5. The underwater gamma radiation monitoring simulation training method according to claim 1, characterized in that: After sending the gamma radiation data to the simulation training device, the method further includes: The gamma radiation data and the positioning data are sent to a central management server so that the central management server receives, processes and distributes training data, where the training data is the processed gamma radiation data and the positioning data.

6. An underwater gamma radiation monitoring simulation training device, characterized in that: The training device is a management server, and the device is applied to the underwater gamma radiation monitoring simulation training method according to any one of claims 1 to 5, comprising a processing module (401), an acquisition module (402), and a sending module (403), wherein: The processing module (401) is used to calculate a three-dimensional simulated radiation field in a space according to the radiation source term; The acquisition module (402) is used to acquire positioning data sent by the simulation training device; The processing module (401) is used to determine the relative position of the simulation training device in the three-dimensional simulated radiation field in the space based on the positioning data; The processing module (401) is used to calculate gamma radiation data at the simulation training device according to the relative position; The sending module (403) is used to send the gamma radiation data to the simulation training device.

7. An electronic device, characterized in that: The electronic device comprises a processor (501), a communication bus (502), a user interface (503), a network interface (504) and a memory (505), wherein the memory (505) is used to store instructions, the user interface (503) and the network interface (504) are both used to communicate with other devices, and the processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 5 is executed.

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