Vehicle-mounted aerosol monitoring simulation training method and device

Abstract

The invention provides a vehicle-mounted aerosol monitoring simulation training method and device, and relates to the technical field of radiation detection simulation, the method is applied to a management service platform, and the method comprises the following steps: constructing an aerosol radiation simulation radiation field based on a nuclide theoretical concentration and an aerosol proportion; a pump starting instruction is sent to the simulation training device, so that a motor of the simulation training device drives a fan to rotate to simulate an air extracting pump for sampling, and position coordinate information provided by the simulation training device is obtained; calculating radiation monitoring simulation data of the position of the simulation training device according to the position coordinate information and the aerosol radiation simulation radiation field; judging whether the radiation monitoring simulation data is greater than or equal to a preset threshold value; if it is determined that the radiation monitoring simulation data is larger than or equal to the preset threshold value, an alarm instruction is sent to the simulation training device so that the simulation training device can conduct sound-light alarm prompting. According to the invention, vehicle-mounted aerosol monitoring simulation training can be carried out under the condition that a real radiation source does not need to be used.

Description

Technical Field

[0001] The present application relates to the technical field of radiation detection simulation, and in particular to a vehicle-mounted aerosol monitoring simulation training method and device. Background Art

[0002] Radioactive aerosols are generated by the release of radioactive substances. Common sources of release include: nuclear reactor failures, nuclear power plant accidents or nuclear explosions, which can lead to the release of large amounts of radioactive gases and solid particles into the atmosphere. These radioactive substances usually form aerosol particles through processes such as gasification, evaporation or mechanical impact.

[0003] The harm of radioactive aerosols to the human body mainly depends on the type of radioactive isotopes it contains, the radiation intensity, the size of aerosol particles, and the exposure time. Inhaling these aerosols will cause radioactive substances to enter the human body, which may cause damage to the lungs, blood circulation system, etc., and increase the risk of cancer. On-board aerosol monitoring is achieved by setting two sampling ports on the vehicle, one inlet and one outlet, which are connected to the outside of the vehicle through pipes. The monitoring equipment is placed in the vehicle to understand the aerosol pollution status in the environment, thereby providing a basis for radioactive parameters for rescue, emergency work, support and other activities. The rapid maneuvering of the vehicle and the protection of the operator in a positive pressure environment can achieve long-term, large-scale continuous sampling and detection of radioactive aerosols in the environment.

[0004] On-board aerosol monitoring simulation training is of great significance in nuclear safety and emergency response. Through simulation training, staff can master the methods of detecting and responding to radioactive aerosols in the vehicle environment, which is crucial to ensure the safety of transporting radioactive materials and preventing accidental leakage and spread. Simulation training can help nuclear emergency personnel understand the diffusion characteristics of aerosols in the space inside the vehicle, improve the ability to respond to sudden radioactive events, and ensure that measures can be taken quickly and effectively when an accident occurs to reduce the harm of radiation to the environment and human health, thereby enhancing the overall nuclear safety protection level. However, since real on-board aerosols are radioactive and harmful to the human body, a method is needed to implement on-board aerosol monitoring simulation training without the use of real radiation sources. Summary of the invention

[0005] The present application provides a vehicle-mounted aerosol monitoring simulation training method and device, which can realize vehicle-mounted aerosol monitoring simulation training without using a real radiation source.

[0006] In a first aspect of the present application, a vehicle-mounted aerosol monitoring simulation training method is provided, the method being applied to a management service platform, the method comprising:

[0007] Based on the theoretical concentration of nuclides and the proportion of aerosols, the aerosol radiation simulation radiation field is constructed;

[0008] Sending a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtaining the position coordinate information provided by the simulation training device;

[0009] Calculating radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field;

[0010] Determining whether the radiation monitoring simulation data is greater than or equal to a preset threshold;

[0011] If it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, an alarm instruction is sent to the simulation training device so that the simulation training device performs an audible and visual alarm prompt.

[0012] Optionally, constructing an aerosol radiation simulation radiation field based on the theoretical nuclide concentration and the aerosol ratio specifically includes:

[0013] Divide the radioactive gaseous material into multiple grids according to longitude, latitude and altitude;

[0014] Based on the theoretical concentration of nuclides and the aerosol ratio of each grid, the simulated actual concentration of each grid is calculated;

[0015] Use Monte Carlo method to model nuclear radiation detectors and calculate the conversion efficiency of nuclear radiation detectors to aerosols of different nuclides;

[0016] Calculating the detected concentrations of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency;

[0017] The detected concentrations of aerosols of different nuclides are summed to obtain the detected radiation concentration of each grid measured by the detector;

[0018] The aerosol radiation simulation radiation field is constructed according to the detected radiation concentration of each grid.

[0019] Optionally, the simulated actual concentration of each grid is calculated based on the theoretical concentration of nuclides and the aerosol ratio of each grid, and is specifically calculated by the following formula:

[0020]

[0021] in, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, k qi is the proportion of the i-th nuclide existing in the form of aerosol.

[0022] Optionally, the detection concentration of aerosols of different nuclides is calculated according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0023]

[0024] Among them, C α j is the detection concentration of aerosol α at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t αi is the conversion efficiency of the ith nuclide to aerosol α.

[0025] Optionally, the detection concentration of aerosols of different nuclides is calculated according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0026]

[0027] Among them, C β j represents the detection concentration of aerosol β at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t βi represents the conversion efficiency of the ith nuclide to aerosol β.

[0028] Optionally, the calculating, according to the position coordinate information and the aerosol radiation simulation radiation field, the radiation monitoring simulation data of the location of the simulation training device specifically includes:

[0029] Determine a first longitude, a first latitude, and a first altitude corresponding to the location coordinate information;

[0030] Determining the second longitude, second latitude and second altitude of each grid of the aerosol radiation simulation radiation field;

[0031] Respectively comparing the first longitude with the second longitude, comparing the first latitude with the second latitude, and comparing the first altitude with the second altitude to determine the target grid where the simulation training device is located;

[0032] Calculating the detection concentration of the target grid;

[0033] The detection concentration is set as the radiation monitoring simulation data.

[0034] Optionally, after sending an alarm instruction to the simulation training device if it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold value so that the simulation training device performs an audible and visual alarm prompt, the method further includes:

[0035] A sampling instruction is sent to the simulation training device so that the air flow meter of the simulation training device calculates the sampling volume and synchronously displays the flow data.

[0036] In a second aspect of the present application, a vehicle-mounted aerosol monitoring simulation training device is provided. The device is a management service platform, including a construction module, an acquisition module, a processing module, a judgment module, and a sending module, wherein:

[0037] The construction module is used to construct an aerosol radiation simulation radiation field based on the theoretical concentration of nuclides and the aerosol ratio;

[0038] The acquisition module is used to send a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtain the position coordinate information provided by the simulation training device;

[0039] The processing module is used to calculate the radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field;

[0040] The judging module is used to judge whether the radiation monitoring simulation data is greater than or equal to a preset threshold;

[0041] The sending module is used to send an alarm instruction to the simulation training device if it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, so that the simulation training device performs an audible and visual alarm prompt.

[0042] Optionally, the construction module is used to divide the radioactive gaseous material into a plurality of grids according to longitude, latitude and altitude;

[0043] The processing module is used to calculate the simulated actual concentration of each grid based on the theoretical concentration of nuclides and the aerosol ratio of each grid;

[0044] The building module is used to model the nuclear radiation detector using the Monte Carlo method and calculate the conversion efficiency of the nuclear radiation detector to aerosols of different nuclides;

[0045] The processing module is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency;

[0046] The processing module is used to sum the detected concentrations of aerosols of different nuclides to obtain the detected radiation concentration of each grid measured by the detector;

[0047] The construction module is used to construct the aerosol radiation simulation radiation field according to the detected radiation concentration of each grid.

[0048] Optionally, the processing module is used to calculate the simulated actual concentration of each grid based on the theoretical concentration of the nuclides and the aerosol ratio of each grid, specifically by the following formula:

[0049]

[0050] in, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, k qi is the proportion of the i-th nuclide existing in the form of aerosol.

[0051] Optionally, the processing module is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0052]

[0053] Among them, C α j is the detection concentration of aerosol α at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t αi is the conversion efficiency of the ith nuclide to aerosol α.

[0054] Optionally, the processing module is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0055]

[0056] Among them, C β j represents the detection concentration of aerosol β at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t βi represents the conversion efficiency of the ith nuclide to aerosol β.

[0057] Optionally, the processing module is used to determine a first longitude, a first latitude and a first altitude corresponding to the position coordinate information;

[0058] The processing module is used to determine the second longitude, the second latitude and the second altitude of each grid of the aerosol radiation simulation radiation field;

[0059] The judgment module is used to compare the first longitude with the second longitude, the first latitude with the second latitude, and the first altitude with the second altitude, respectively, to determine the target grid where the simulation training device is located;

[0060] The processing module is used to calculate the detection concentration of the target grid;

[0061] The processing module is used to set the detection concentration as the radiation monitoring simulation data.

[0062] Optionally, the sending module is used to send a sampling instruction to the simulation training device, so that the air flow meter of the simulation training device calculates the sampling volume and synchronously displays the flow data.

[0063] 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 executes any one of the methods described above.

[0064] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the methods described above is executed.

[0065] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0066] 1. This application constructs a virtual aerosol radiation simulation radiation field, uses a mathematical model based on the theoretical concentration of nuclides and the proportion of aerosols to describe the radiation intensity distribution at different locations, and combines the position coordinate information of the simulation training device to perform real-time radiation concentration calculations. The actual radiation source and radioactivity measurement are replaced by software simulation and mathematical calculations to reproduce the radiation situation in the actual environment in a virtual way. When the monitoring concentration of the simulation training device exceeds the preset threshold, an alarm is issued through the simulation training device to train operators on how to respond to sudden radiation leakage scenarios. Therefore, various vehicle-borne aerosol radiation scenarios can be simulated and trained without a real radiation source, which not only ensures the safety of the training, but also retains the authenticity and effectiveness of emergency operations.

[0067] 2. Divide the radioactive gaseous substances into multiple grids for modeling, combine the theoretical concentration of nuclides and the aerosol ratio to calculate the actual concentration of each grid, and then use the Monte Carlo method to model the nuclear radiation detector, so as to calculate the conversion efficiency of the detector for different nuclides and the corresponding detection concentration. Finally, by combining the detection concentrations of all grid points, the aerosol radiation simulation radiation field of the entire space is constructed. This method can accurately simulate the spatial distribution of radioactive aerosols at different locations and generate virtual radiation scenes for monitoring simulation and training in vehicle-mounted environments.

[0068] 3. First, determine the actual concentration of the nuclide based on the theoretical concentration and aerosol ratio; then, use the detector conversion efficiency to perform a weighted summation of the responses of different radiation types to calculate the aerosol detection concentration at each grid point. This method can accurately simulate the response of radiation detectors to aerosol-shaped radioactive nuclides in complex radiation fields and generate virtual radiation concentration data. The effect is that accurate radiation distribution scenarios can be constructed without the use of real radiation sources, so as to conduct safe and efficient simulation training and emergency response rehearsals, thereby helping operators better understand and master detection and response technologies in complex radiation fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a flow chart of a vehicle-mounted aerosol monitoring simulation training method disclosed in an embodiment of the present application;

[0070] Figure 2 It is a module schematic diagram of a vehicle-mounted aerosol monitoring simulation training device disclosed in an embodiment of the present application;

[0071] Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0072] Explanation of the reference numerals: 201, construction module; 202, acquisition module; 203, processing module; 204, judgment module; 205, sending module; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0073] In order to enable technicians in this field 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 the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0075] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to 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 cannot 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 "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0076] Radioactive aerosols originate from radioactive materials released in nuclear reactor failures, nuclear power plant accidents and other events. They are formed through processes such as gasification and evaporation and are potentially harmful to human health. On-board aerosol monitoring monitors radioactive aerosols in the external environment through an on-board sampling system to support rescue and emergency work. Simulation training is crucial to nuclear safety and emergency response. It can help emergency personnel master the skills of monitoring and responding to radioactive aerosols in the vehicle, improve their ability to respond to emergencies, and effectively reduce the harm of radiation to the human body and the environment. Due to the risks of real radiation sources, simulation training needs to be conducted without the use of real radiation sources to ensure safety and effectiveness.

[0077] This embodiment discloses a vehicle-mounted aerosol monitoring simulation training method, referring to Figure 1 , including the following steps S110-S150:

[0078] S110, based on the theoretical concentration of nuclides and the proportion of aerosols, constructs an aerosol radiation simulation radiation field.

[0079] The vehicle-mounted aerosol monitoring simulation training method disclosed in the embodiment of the present application is applied to a management service platform, which includes but is not limited to electronic devices such as mobile phones, tablet computers, wearable devices, PCs (Personal Computers), etc., and can also be a background server that runs a vehicle-mounted aerosol monitoring simulation training method. The server can be implemented as an independent server or a server cluster composed of multiple servers.

[0080] The management service platform is connected to the simulation training device by communication. The simulation training device consists of an aerosol simulation sampling module, an aerosol simulation detection module and an acoustic and visual alarm simulation module. Each simulation module is fixed on the aerosol sampling and monitoring integrated stand. The aerosol simulation sampling module consists of a fan and an air flow meter. The aerosol simulation detection module uses a rectangular iron box and is fixed inside the simulation training device. The acoustic and visual alarm simulation module contains a lithium battery, a low-power processing module, a WIFI self-organizing network module, a differential Beidou module, a button and an OLED LCD screen, and an acoustic and visual alarm module.

[0081] The differential Beidou module in the simulation training device provides the location coordinate information of the equipment in real time. The motor fan simulates the vacuum pump, and the pump can be started and stopped by the panel switch. The flow simulated by the fan speed can be transmitted to the on-site operation management service platform through the main control board via the WIFI self-organizing network module, and the radiation monitoring simulation training data sent by the on-site operation management service platform can be received and displayed. If the radiation monitoring simulation data exceeds the set threshold, the alarm light on the device will light up and an audible and visual alarm will sound.

[0082] In a possible implementation, based on the theoretical concentration of nuclides and the proportion of aerosols, an aerosol radiation simulation radiation field is constructed, specifically including: dividing the radioactive gaseous material into multiple grids according to longitude, latitude and altitude; calculating the simulated actual concentration of each grid based on the theoretical concentration of nuclides and the proportion of aerosols in each grid; using the Monte Carlo method to model the nuclear radiation detector, and calculating the conversion efficiency of the nuclear radiation detector for aerosols of different nuclides; calculating the detection concentration of aerosols of different nuclides based on the simulated actual concentration and the conversion efficiency; summing the detection concentrations of aerosols of different nuclides to obtain the detection radiation concentration of each grid measured by the detector; and constructing an aerosol radiation simulation radiation field based on the detection radiation concentration of each grid.

[0083] Specifically, the distribution area of ​​radioactive gaseous substances is divided into multiple grids according to longitude, latitude and altitude to form a 3D spatial model. For example, the size of each grid is 1m×1m×1m, which can accurately represent the distribution of radioactive aerosols at each location in the space.

[0084] The simulated actual concentration of each grid is calculated based on the theoretical concentration of the nuclide and the aerosol ratio. For each grid point j and each nuclide i, the actual concentration of the aerosol is calculated using the following formula:

[0085]

[0086] in, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, k is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, that is, the concentration assuming that the nuclide is uniformly present at the grid point, without considering the specific form of the nuclide. qi is the proportion of the i-th nuclide in aerosol form, that is, the concentration of some nuclides is not all in aerosol form, but may exist in other forms (such as gaseous state or deposited on the surface). Therefore, multiply by the proportion k qi The portion actually existing in the form of aerosol can be obtained.

[0087] Through this formula, the actual simulated concentration of each nuclide aerosol in each grid point can be obtained, thereby constructing the basic data for aerosol radiation simulation.

[0088] The nuclear radiation detector is modeled using the Monte Carlo method to simulate the response of different nuclides in the detector. The Monte Carlo method is a numerical calculation method based on random number generation and probability simulation, which is suitable for simulating the interaction between complex radiation fields and detectors. Based on the Monte Carlo simulation results, the α and aerosol β conversion efficiency of the nuclear radiation detector for different nuclides aerosols is calculated.

[0089] First of all, radionuclides that can exist in aerosol form basically release alpha and beta rays. Secondly, alpha radiation usually comes from heavier radioactive elements (such as uranium, plutonium, radium, etc.). These elements are often difficult to detect effectively in aerosols through gamma rays because their gamma radiation energy is low, and the gamma rays produced during radioactive decay are often interfered with by other environmental radiation signals. However, alpha particles can be captured and measured very effectively from aerosols due to their unique high energy and low penetration, and are particularly suitable for monitoring the pollution of heavy elements such as uranium and plutonium. Alpha and beta interact strongly with aerosol particles in the air, so low concentrations of radioactive substances can be detected. This is because compared with gamma rays, alpha and beta particles deposit more energy on aerosol particles, and even low concentrations of radioactive substances can generate sufficient radiation signals, thereby achieving sensitive monitoring. Furthermore, gamma rays have strong penetrating power and are easily interfered by natural background radiation in the environment (such as radiation from the earth's crust, cosmic rays, etc.), which makes the gamma ray detection signal more complicated and requires high-precision equipment to distinguish. However, alpha and beta particles are usually less affected by background radiation, especially alpha particles, which have extremely concentrated energy, less background noise, and higher measurement accuracy. Finally, in nuclear accidents or nuclear pollution incidents, the alpha and beta radiation sources in radioactive aerosols are often more obvious, because these events usually release a large amount of heavy radioactive materials (such as uranium, plutonium, etc.) and light radioactive isotopes (such as strontium, tritium, etc.). At this time, the use of alpha and beta monitoring can more accurately and quickly assess the degree of pollution and identify the source of pollution.

[0090] Based on the simulated actual concentration of each grid point and the corresponding aerosol α conversion efficiency, the detection concentration of the detector for aerosol α radiation is calculated. The formula is as follows:

[0091]

[0092] Among them, C α j is the detection concentration of aerosol α at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t αi is the conversion efficiency of the ith nuclide to aerosol α.

[0093] Similarly, the detected concentration of aerosol β is calculated based on the simulated actual concentration of each grid point and the aerosol β conversion efficiency:

[0094]

[0095] Among them, C β j represents the detection concentration of aerosol β at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t βi represents the conversion efficiency of the ith nuclide to aerosol β.

[0096] In each grid, the detector's response to radiation depends on the actual aerosol concentration of each nuclide in the grid and the conversion efficiency of the nuclide to radiation. The conversion efficiency represents the ability of the detector to convert the radiation emitted by the nuclide into a detection signal. The conversion efficiency of different nuclides may be different, depending on the characteristics of the detector, the radiation intensity of the nuclide, and the interaction between the detector and the nuclide. For each grid point, the detected radiation concentration is the sum of the contributions of all nuclides.

[0097] According to the radiation concentration of aerosol α and aerosol β detected at each grid point, the concentration distribution of the entire space is simulated. By combining the detection concentration of each grid point, the entire aerosol radiation simulation radiation field can be constructed. These data can be used to simulate the spatial distribution of radioactive materials inside a vehicle or during transportation.

[0098] S120, sending a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtains the position coordinate information provided by the simulation training device.

[0099] The management service platform sends a pump start command to the simulation training device, so that the motor drives the fan to simulate the vacuum pump sampling, and sends a sampling command to calculate and display the sampling volume. The simulation training device starts the motor inside it. The motor drives the fan to start rotating. The function of the fan is to simulate the vacuum pump to sample the air. Through the rotation of the fan, a certain air flow can be established in the car or a specific space to simulate the real vacuum pump sampling process.

[0100] The differential Beidou positioning system included in the simulation training device is based on Beidou network RTK technology. One or more reference stations (this exercise platform is one) are established in the area. The reference station with known precise three-dimensional coordinates is used to generate gridded differential correction data in real time through calculation and processing, and the pseudo-range correction or position correction is obtained. This correction is then sent to the user in real time or afterwards to correct the user's measurement data. The RTK positioning results of this method are reliable, high-precision, and have good accuracy consistency. The accuracy of ordinary Beidou positioning can only reach ±1m, while the accuracy of differential Beidou positioning can reach ±5cm, so all positioning modules in this system use differential Beidou positioning modules.

[0101] For the simulation training device, its actual monitoring data is the location information of longitude, latitude and altitude. When moving on flat ground, its altitude is relatively stable. The simulation training device packages these three values ​​and sends them to the on-site management server every second.

[0102] S130, calculating radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field.

[0103] In a possible implementation, the radiation monitoring simulation data of the location of the simulation training device is calculated based on the position coordinate information and the aerosol radiation simulation radiation field, specifically including: determining the first longitude, the first latitude and the first altitude corresponding to the position coordinate information; determining the second longitude, the second latitude and the second altitude of each grid of the aerosol radiation simulation radiation field; respectively comparing the first longitude with the second longitude, the first latitude with the second latitude, and the first altitude with the second altitude to determine the target grid where the simulation training device is located; calculating the detection concentration of the target grid; and setting the detection concentration as the radiation monitoring simulation data.

[0104] Specifically, first, it is necessary to obtain the spatial position coordinate information of the current location of the simulation training device. These coordinate information usually include the longitude value of the training device in the geographic space (first longitude), the latitude value of the training device in the geographic space (first latitude), and the height of the training device relative to the ground (first height).

[0105] Compare the first longitude (the longitude where the simulation training device is currently located) with the second longitude of each grid to find the grid that matches the longitude of the simulation device. Similarly, compare the first latitude with the second latitude of each grid to determine the grid with matching latitude. Finally, compare the first height with the second height of each grid to find the corresponding height. Through the above three steps (comparison of longitude, latitude and height), the target grid where the simulation training device is located can be finally determined. This grid corresponds to the actual position of the training device in the simulated radiation field.

[0106] Each grid in the radiation simulation field has a corresponding radiation detection concentration, which represents the concentration of radioactive aerosols detected by the detector in the grid. After the target grid is determined, the detection concentration in the grid can be obtained by accessing the radiation concentration data of the grid point stored in the simulated radiation field. The specific detection concentration value is based on the simulated actual concentration calculated previously and the conversion efficiency of the detector (such as aerosol α or aerosol β radiation conversion efficiency). The calculation process of the detection concentration is obtained by multiplying the actual concentration of each nuclide with the detector response efficiency and summing them. Finally, the detection concentration value of the target grid is set to the current radiation monitoring simulation data of the simulation training device. This data represents the radiation environment of the simulation training device at the current spatial position, and is usually used for feedback of simulated detection to verify the effectiveness of monitoring equipment or emergency operations.

[0107] S140, determining whether the radiation monitoring simulation data is greater than or equal to a preset threshold.

[0108] In actual simulation training, a preset safety threshold is usually set. If the radiation concentration data exceeds the threshold, further actions will be triggered, such as starting a fan pump to simulate the sampling process. The introduction of this mechanism can make the training closer to the actual operating environment and help operators become familiar with the emergency operations that should be taken in the case of high concentration radiation.

[0109] S150: If it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, an alarm instruction is sent to the simulation training device so that the simulation training device performs an audible and visual alarm prompt.

[0110] When the radiation monitoring simulation data exceeds the preset threshold, a series of operation processes are initiated, including sound and light alarm prompts, to remind the operator that the radiation in the vicinity exceeds the standard and further measures need to be taken.

[0111] The management service platform will further send a sampling instruction to the simulation training device. This instruction is used to start the air flow meter to measure and record the air flow and volume during the sampling process. After receiving the sampling instruction, the air flow meter of the simulation training device will start working to calculate the volume of air collected through the extraction process. The air flow meter is a measuring device that can accurately record the amount of air extracted by the fan, and usually records the sampling data in standard volume units (such as liters or cubic meters). During the operation of the flow meter, the sampling volume will be calculated based on the air flow rate and sampling time. These data are important for analyzing the aerosol concentration in the sampled gas.

[0112] The simulation training device will synchronously display the flow data measured by the air flow meter on the display device. The flow data is usually displayed on a digital display screen, and can also be synchronously transmitted to the remote management platform through a communication module. The displayed data includes real-time flow rate during the sampling time, cumulative sampling volume, etc. The operator can observe and record relevant data in real time through the display device.

[0113] This embodiment also discloses a vehicle-mounted aerosol monitoring simulation training device, which is a management service platform. Figure 2 , including a construction module 201, an acquisition module 202, a processing module 203, a judgment module 204 and a sending module 205, wherein:

[0114] The construction module 201 is used to construct an aerosol radiation simulation radiation field based on the theoretical concentration of nuclides and the aerosol ratio.

[0115] The acquisition module 202 is used to send a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtain the position coordinate information provided by the simulation training device

[0116] The processing module 203 is used to calculate the radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field.

[0117] The judgment module 204 is used to judge whether the radiation monitoring simulation data is greater than or equal to a preset threshold.

[0118] The sending module 205 is used to send an alarm instruction to the simulation training device if it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, so that the simulation training device performs an audible and visual alarm prompt.

[0119] In a possible implementation, the construction module 201 is used to divide the radioactive gaseous material into a plurality of grids according to longitude, latitude and altitude.

[0120] The processing module 203 is used to calculate the simulated actual concentration of each grid based on the theoretical concentration of the nuclides and the aerosol proportion of each grid.

[0121] The construction module 201 is used to model the nuclear radiation detector using the Monte Carlo method and calculate the conversion efficiency of the nuclear radiation detector to aerosols of different nuclides.

[0122] The processing module 203 is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency.

[0123] The processing module 203 is used to sum the detected concentrations of aerosols of different nuclides to obtain the detected radiation concentration of each grid measured by the detector.

[0124] The construction module 201 is used to construct an aerosol radiation simulation radiation field according to the detected radiation concentration of each grid.

[0125] In a possible implementation, the processing module 203 is used to calculate the simulated actual concentration of each grid based on the theoretical concentration of the nuclide and the aerosol ratio of each grid, specifically by the following formula:

[0126]

[0127] in, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, k qi is the proportion of the i-th nuclide existing in the form of aerosol.

[0128] In a possible implementation, the processing module 203 is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0129]

[0130] Among them, C α j is the detection concentration of aerosol α at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t αi is the conversion efficiency of the ith nuclide to aerosol α.

[0131] In a possible implementation, the processing module 203 is used to calculate the detection concentration of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency, specifically by the following formula:

[0132]

[0133] Among them, C β j represents the detection concentration of aerosol β at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t βi represents the conversion efficiency of the ith nuclide to aerosol β.

[0134] In a possible implementation, the processing module 203 is configured to determine a first longitude, a first latitude, and a first altitude corresponding to the location coordinate information.

[0135] The processing module 203 is used to determine the second longitude, second latitude and second altitude of each grid of the aerosol radiation simulation radiation field.

[0136] The judgment module 204 is used to compare the first longitude with the second longitude, the first latitude with the second latitude, and the first altitude with the second altitude to determine the target grid where the simulation training device is located.

[0137] The processing module 203 is used to calculate the detection concentration of the target grid.

[0138] The processing module 203 is used to set the detection concentration as radiation monitoring simulation data.

[0139] In a possible implementation, the sending module 205 is used to send a sampling instruction to the simulation training device, so that the air flow meter of the simulation training device calculates the sampling volume and synchronously displays the flow data.

[0140] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is 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 embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0141] This embodiment also discloses an electronic device, referring to Figure 3 The electronic device may include: at least one processor 301 , at least one communication bus 302 , a user interface 303 , a network interface 304 , and at least one memory 305 .

[0142] The communication bus 302 is used to realize the connection and communication between these components.

[0143] The user interface 303 may include a display screen (Display) and a camera (Camera). The optional user interface 303 may also include a standard wired interface and a wireless interface.

[0144] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0145] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly 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 screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0146] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein 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 the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be at least one storage device located away from the aforementioned processor 301. The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface 303 module, and an application for a vehicle-mounted aerosol monitoring simulation training method.

[0147] exist Figure 3 In the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call an application program stored in the memory 305 for a vehicle-mounted aerosol monitoring simulation training method. When executed by one or more processors 301, the electronic device executes one or more methods in the above-mentioned embodiments.

[0148] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present 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 the present application.

[0149] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0150] 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 only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, 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 interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0151] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0153] 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, which is stored in a memory 305 and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory 305 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.

[0154] The present application also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores instructions. When executed by one or more processors 301, the electronic device executes one or more of the methods described in the above embodiments.

[0155] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A vehicle-mounted aerosol monitoring simulation training method, characterized in that: The method is applied to a management service platform, and the method comprises: Based on the theoretical concentration of nuclides and the proportion of aerosols, the aerosol radiation simulation radiation field is constructed; Sending a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtaining the position coordinate information provided by the simulation training device; Calculating radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field; Determining whether the radiation monitoring simulation data is greater than or equal to a preset threshold; If it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, an alarm instruction is sent to the simulation training device so that the simulation training device performs an audible and visual alarm prompt.

2. A vehicle-mounted aerosol monitoring simulation training method according to claim 1, characterized in that: The aerosol radiation simulation radiation field is constructed based on the theoretical concentration of nuclides and the aerosol ratio, specifically including: Divide the radioactive gaseous material into multiple grids according to longitude, latitude and altitude; Based on the theoretical concentration of nuclides and the aerosol ratio of each grid, the simulated actual concentration of each grid is calculated; Use Monte Carlo method to model nuclear radiation detectors and calculate the conversion efficiency of nuclear radiation detectors to aerosols of different nuclides; Calculating the detected concentrations of aerosols of different nuclides according to the simulated actual concentration and the conversion efficiency; The detected concentrations of aerosols of different nuclides are summed to obtain the detected radiation concentration of each grid measured by the detector; The aerosol radiation simulation radiation field is constructed according to the detected radiation concentration of each grid.

3. A vehicle-mounted aerosol monitoring simulation training method according to claim 2, characterized in that: The simulated actual concentration of each grid is calculated based on the theoretical concentration of nuclides and the aerosol ratio of each grid, which is specifically calculated by the following formula: Among them, C ri j is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, C i j is the theoretical concentration of the ith nuclide in the form of aerosol at the jth grid point, k qi is the proportion of the i-th nuclide existing in the form of aerosol.

4. A vehicle-mounted aerosol monitoring simulation training method according to claim 2, characterized in that: The detection concentration of aerosols of different nuclides is calculated according to the simulated actual concentration and the conversion efficiency, specifically by the following formula: Among them, C α j is the detection concentration of aerosol α at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t αi is the conversion efficiency of the ith nuclide to aerosol α.

5. The vehicle-mounted aerosol monitoring simulation training method according to claim 2 is characterized in that: The detection concentration of aerosols of different nuclides is calculated according to the simulated actual concentration and the conversion efficiency, specifically by the following formula: Among them, C β j represents the detection concentration of aerosol β at the jth grid point collected by the detector, C ri j is the simulated actual concentration of the ith nuclide in the form of aerosol at the jth grid point, t βi represents the conversion efficiency of the ith nuclide to aerosol β.

6. The vehicle-mounted aerosol monitoring simulation training method according to claim 1, characterized in that: The step of calculating the radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field specifically includes: Determine a first longitude, a first latitude, and a first altitude corresponding to the location coordinate information; Determining the second longitude, second latitude and second altitude of each grid of the aerosol radiation simulation radiation field; Respectively comparing the first longitude with the second longitude, comparing the first latitude with the second latitude, and comparing the first altitude with the second altitude to determine the target grid where the simulation training device is located; Calculating the detection concentration of the target grid; The detection concentration is set as the radiation monitoring simulation data.

7. The vehicle-mounted aerosol monitoring simulation training method according to claim 1, characterized in that: After sending an alarm instruction to the simulation training device if it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold value so that the simulation training device performs an audible and visual alarm prompt, the method further includes: A sampling instruction is sent to the simulation training device so that the air flow meter of the simulation training device calculates the sampling volume and synchronously displays the flow data.

8. A vehicle-mounted aerosol monitoring simulation training device, characterized in that: The device is a management service platform, comprising a construction module (201), an acquisition module (202), a processing module (203), a judgment module (204) and a sending module (205), wherein: The construction module (201) is used to construct an aerosol radiation simulation radiation field based on the theoretical concentration of nuclides and the aerosol ratio; The acquisition module (202) is used to send a pump start instruction to the simulation training device, so that the motor of the simulation training device drives the fan to rotate to simulate the air pump sampling, and obtain the position coordinate information provided by the simulation training device; The processing module (203) is used to calculate the radiation monitoring simulation data of the location of the simulation training device according to the location coordinate information and the aerosol radiation simulation radiation field; The judgment module (204) is used to judge whether the radiation monitoring simulation data is greater than or equal to a preset threshold; The sending module (205) is used to send an alarm instruction to the simulation training device if it is determined that the radiation monitoring simulation data is greater than or equal to a preset threshold, so that the simulation training device performs an audible and visual alarm prompt.

9. An electronic device, characterized in that: The electronic device comprises a processor (301), a communication bus (302), a memory (305), a user interface (303), a network interface (304) and a memory (305), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are both used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device executes the method according to any one of claims 1 to 7.

10. 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 7 is performed.

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