Data analysis method, system and equipment based on radioactivity monitoring and medium

Abstract

The invention relates to a data analysis method based on radioactivity monitoring, and belongs to the technical field of monitoring data analysis, and the method comprises the steps: obtaining to-be-analyzed data, the to-be-analyzed data represents data obtained by radioactivity monitoring equipment, and the radioactivity monitoring equipment is used for monitoring radioactive substances in an environment and the radioactivity concentration of the radioactive substances; the data relation between the radioactive concentrations of the different radioactive substances is analyzed, a detection scene is determined, and the data relation is used for reflecting the interaction situation between the radioactive substances; and determining the severity and the processing mode of the detection scene according to the detection scene and the detection standard corresponding to the detection scene. The method has the effect of improving the data analysis accuracy of radioactivity monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of monitoring data analysis, and in particular to a data analysis method based on radioactivity monitoring. Background Art

[0002] Radioactive monitoring is the process of measuring the intensity of radioactive nuclides in the environment and analyzing and evaluating the extent of radioactive contamination. The goal is to determine the level of radioactive substances in the environment and the potential harm to the environment and people, so that safety measures can be implemented. This process is generally divided into several categories, including workplace monitoring, effluent monitoring, personal monitoring, emergency monitoring, pollution source monitoring, and background monitoring.

[0003] Radioactive monitoring targets environmental media and organisms. Its purpose is to evaluate and control the radiation impacts of nuclear facilities on the surrounding environment and residents. This is achieved by monitoring and measuring radiation levels in the facility's surroundings and radioactive concentrations in environmental media and biological samples.

[0004] It is understandable that the evaluation standards for radioactive concentration are different in different occasions and at different times. How to adjust the evaluation standards for radioactive concentration according to actual conditions and improve the accuracy of data analysis for radioactive monitoring is a problem that needs to be solved at present. Summary of the Invention

[0005] In order to improve the accuracy of data analysis for radioactivity monitoring, the present application provides a data analysis method based on radioactivity monitoring.

[0006] In a first aspect of the present application, a data analysis method based on radioactivity monitoring is provided. The method comprises:

[0007] Acquiring data to be analyzed, wherein the data to be analyzed represents data obtained by a radioactivity monitoring device, wherein the radioactivity monitoring device is used to monitor radioactive substances in an environment and the radioactivity concentration of the radioactive substances;

[0008] Analyzing the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario, wherein the data relationship is used to reflect the interaction between the radioactive substances;

[0009] The severity and handling method of the detection scenario are determined according to the detection scenario and the detection standard corresponding to the detection scenario.

[0010] It can be seen from the above technical solution that by analyzing and calculating the radioactive concentration of radioactive substances in the data to be analyzed, the detection scenario corresponding to the data to be analyzed is determined. According to the determined detection scenario and the detection standard corresponding to the detection scenario, the severity of the radiation and the corresponding treatment method are determined, thereby improving the accuracy of radioactive monitoring data analysis.

[0011] In a possible implementation, analyzing the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario includes:

[0012] sorting the radioactive substances according to the radioactivity concentration to obtain a radioactivity sequence;

[0013] calculating the detection concentration ratios between the radioactive substances according to the radiation sequence;

[0014] The detection scene is determined according to the concentration ratios corresponding to different preset scenes and the detection concentration ratio.

[0015] In a possible implementation, the radiation sequence is sorted in descending order;

[0016] Calculating the detection concentration ratios between the radioactive substances according to the radiation sequence includes:

[0017] sequentially acquiring detection data sets according to the radiation sequence, wherein the detection data sets include radioactivity concentrations of two different radioactive substances;

[0018] The detection concentration ratio of each of the detection data sets is calculated.

[0019] In a possible implementation, determining the detection scene according to the concentration ratios corresponding to different preset scenes and the detection concentration ratio includes:

[0020] Calculating concentration similarities between the concentration ratios corresponding to different preset scenarios and the detected concentration ratios;

[0021] Determining whether the concentration similarity is within a similarity range corresponding to the preset scene, and obtaining a similarity result;

[0022] According to the similarity result, a detection scene is determined from the preset scenes.

[0023] In a possible implementation, the preset scenarios include multiple;

[0024] The determining whether the concentration similarity is within the similarity range corresponding to the preset scene to obtain a similarity result includes:

[0025] When the concentration similarity is within the similarity range corresponding to the preset scene, the preset scene is added to the similarity result.

[0026] In a possible implementation, determining the detection scene from the preset scenes according to the similarity result includes:

[0027] When the similarity result includes one of the preset scenes, the preset scene is used as the detection scene;

[0028] When the similarity result includes a plurality of the preset scenes, the detection scene is determined according to the concentration similarities corresponding to the preset scenes.

[0029] In one possible implementation, determining the severity and handling method of the detection scenario based on the detection scenario and the detection standard corresponding to the detection scenario includes:

[0030] comparing the radioactivity concentration of the radioactive substance and the radioactive material with the detection standard to determine the severity;

[0031] The treatment method is determined according to the severity.

[0032] In a second aspect of the present application, a data analysis system based on radioactivity monitoring is provided. The system comprises:

[0033] A data acquisition module is used to acquire data to be analyzed, where the data to be analyzed represents data obtained by a radioactivity monitoring device, which is used to monitor radioactive substances and radioactivity concentrations in the environment;

[0034] The data analysis module is used to analyze the data relationship between the radioactivity concentrations of different radioactive substances and determine the detection scenario. The data relationship is used to reflect the interaction between radioactive substances;

[0035] The result determination module is used to determine the severity and treatment method of the detection scenario based on the detection scenario and the detection standard corresponding to the detection scenario.

[0036] In a third aspect of the present application, an electronic device is provided, comprising: a memory and a processor, wherein the memory stores a computer program, and the processor implements the above method when executing the program.

[0037] In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the method according to the first aspect of the present application is implemented.

[0038] In summary, this application includes at least one beneficial technical effect:

[0039] By analyzing and calculating the radioactive concentration of radioactive substances in the data to be analyzed, the detection scenario corresponding to the data to be analyzed is determined. Based on the determined detection scenario and the detection standard corresponding to the detection scenario, the severity of the radiation and the corresponding treatment method are determined to improve the accuracy of radioactive monitoring data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of the data analysis method based on radioactivity monitoring provided in this application.

[0041] Figure 2 It is a structural diagram of the data analysis system based on radioactivity monitoring provided by this application.

[0042] Figure 3 It is a structural diagram of the electronic device provided in this application.

[0043] In the figure, 201, data acquisition module; 202, data analysis module; 203, result determination module; 301, CPU; 302, ROM; 303, RAM; 304, I / O interface; 305, input part; 306, output part; 307, storage part; 308, communication part; 309, drive; 310, removable medium. DETAILED DESCRIPTION

[0044] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0045] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0046] Radioactive monitoring is not only an important component of national ecological and environmental monitoring but also fundamental to radioactive pollution prevention and control. It objectively reflects the quality of the radiation environment and provides a crucial foundation for overseeing the effective fulfillment of operating units' primary responsibility for meeting emission standards. By establishing a radiation environmental monitoring system, we can promptly detect radioactive hazards and protect the health and safety of workers.

[0047] Radioactive materials are substances whose nuclides decay, spontaneously emitting particles or radiation. The radiation released during the decay of radioactive materials is essentially a form of photon energy. When these rays interact with molecules and cells in living organisms, they alter their structure and function, causing damage to cell membranes, chromosomal aberrations, delayed cell division, and even cell death, resulting in harm. In severe cases, they can cause acute radiation sickness or even death. Radioactive materials are widely present in nature. Currently, over 2,000 naturally occurring radioactive substances are known, with the most abundant being found in ores. Radioactive materials are also commonly used in industrial and agricultural production and life, including in the nuclear energy industry, medical irradiation, radiation breeding, and scrap metal smelting.

[0048] Professional radiation detection equipment can detect nuclear radiation, such as gamma rays and X-rays, and provide corresponding readings and warnings to help determine the presence, intensity, and type of nuclear radiation in the environment. Understandably, the type and concentration of radiation vary significantly in different radiation scenarios. Adaptively adjusting the radiation alarm range to suit these scenarios and improving the accuracy of radioactivity monitoring data is a pressing issue.

[0049] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0050] An embodiment of the present application provides a data analysis method based on radioactivity monitoring, and the main process of the method is described as follows.

[0051] like Figure 1 As shown:

[0052] Step S101: Acquire data to be analyzed.

[0053] Specifically, the data to be analyzed refers to data obtained by a radioactivity monitoring device, and the radioactivity monitoring device is used to monitor radioactive substances in the environment and the radioactivity concentration of the radioactive substances.

[0054] In one specific embodiment, the radioactivity monitoring device can be a device capable of detecting radiation type and concentration, such as a radiation detector, a scintillation detector, or a thermoluminescence detector. In other embodiments, the radioactivity monitoring device can also be composed of multiple devices capable of detecting radiation type and concentration, without limitation. The radioactive substance represents the type of radiation, such as gamma rays, alpha rays, beta rays, X-rays, neutron rays, proton rays, and electron rays. These rays have different properties and applications, and each has unique physical characteristics. Radioactivity concentration represents the intensity of radiation from different rays.

[0055] Step S102: Analyze the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario.

[0056] Specifically, the data relationships are used to reflect the interactions between the radioactive substances. The radioactive substances are sorted according to their radioactivity concentrations to obtain a radioactivity sequence. Based on the radioactivity sequence, the detection concentration ratios between the radioactive substances are calculated. A detection scenario is determined based on the concentration ratios corresponding to different preset scenarios and the detection concentration ratios.

[0057] In a specific embodiment, the above-mentioned radiation sequence is sorted in descending order.

[0058] Furthermore, based on the radioactivity sequence, test data sets are sequentially acquired, each of which includes radioactivity concentrations of two different radioactive substances. A detection concentration ratio is calculated for each of the test data sets. Concentration similarities between the concentration ratios corresponding to different preset scenarios and the detection concentration ratios are calculated. A determination is made as to whether the concentration similarities are within similarity ranges corresponding to the preset scenarios, thereby obtaining similarity results. Based on the similarity results, a detection scenario is determined from the preset scenarios. The preset scenarios may include multiple scenarios.

[0059] In a specific example, the radiation sequence is (a1, b1), (a2, b2), (a3, b3), ..., (an, bn), where (a1, b1) indicates that the radioactive substance is a1 and the corresponding radioactivity concentration is b1. For example, a1 represents alpha radiation. Taking (a1, b1) and (a2, b2), (a1, b1) and (a2, b2) together form a detection data set, with a detection concentration ratio of b1 / b2. For example, there are three preset scenes, c1, c2, and c3, representing examination room A in Hospital A, examination room B in Hospital B, and a nuclear power plant, respectively. The difference between the concentration ratio d1 corresponding to the c1 preset scene and the above-mentioned detected concentration ratio is calculated respectively, the difference between the concentration ratio d2 corresponding to the c2 preset scene and the above-mentioned detected concentration ratio is calculated, and the difference between the concentration ratio d3 corresponding to the c3 preset scene and the above-mentioned detected concentration ratio is calculated. In this example, the above-mentioned difference is the concentration similarity. In other examples, other data can be used to represent the concentration similarity, such as the average, quotient, etc., and there is no limitation on this.

[0060] Furthermore, when the concentration similarity is within the similarity range corresponding to the preset scene, the preset scene is added to the similarity result. When the similarity result includes one of the preset scenes, the preset scene is used as the detection scene. When the similarity result includes multiple preset scenes, the detection scene is determined based on the concentration similarity corresponding to the preset scenes.

[0061] It is understandable that when the similar results contain only one preset scene, it means that the detection concentration ratios corresponding to the other preset scenes and the detection data group are quite different, and the preset scene in the similar results is directly used as the detection scene. When the above similar results contain multiple preset scenes, it means that there are multiple preset scenes with similar detection concentration ratios corresponding to the detection data group, and the detection data group needs to be further extracted. In the example corresponding to the above example, after calculating the detection concentration ratios corresponding to (a1, b1) and (a2, b2), the preset scenes in the similar results include the examination room A of the hospital and the examination room B of the hospital. At this time, it is necessary to further calculate the detection concentration ratios corresponding to (a1, b1) and (a3, b3) to further determine the preset scenes in the similar results, that is, further screen similar results from the examination room A of the hospital and the examination room B of the hospital according to the detection concentration ratios corresponding to (a1, b1) and (a3, b3). When the similar results contain only one preset scene, the preset scene is used as the detection scene.

[0062] It's important to understand that different types of radiation can produce combined toxic effects. In real life, exposure to different types of hazardous factors often coexists and interacts, resulting in various combined toxic effects. This interaction can lead to health-damaging effects that are no longer separate, but rather interconnected and influential. For example, the simultaneous presence and interaction of ionizing and non-ionizing radiation can have more complex effects on human health, potentially exceeding the sum of the effects of a single type of radiation. Different types of radiation do interact with each other, and these effects can exceed those of a single type of radiation, posing a greater threat to human health.

[0063] By analyzing the data relationships within each detection data group, different similarity ranges are set for different detection data groups and different setting scenarios, taking into account the interaction between different radiation types, and improving the accuracy of the analysis of radioactive monitoring data.

[0064] In the embodiments provided in this application, the above-mentioned similarity range is obtained by performing data training using a neural network model, a deep learning model, etc., which will not be elaborated here.

[0065] Step S103: Determine the severity of the detection scenario and a handling method based on the detection scenario and the detection standard corresponding to the detection scenario.

[0066] Specifically, once the detection scenario is determined, the corresponding detection standard is also determined. A database pre-stores the correspondence between detection scenarios and detection standards. The radioactive substances and the radioactivity concentrations of the radioactive substances in the data to be analyzed are compared with the detection standards. The severity level is determined based on the portion of the radioactivity concentration that exceeds the detection standard. Different severity levels require different corresponding treatment methods.

[0067] These measures include staying away from the radiation source, wearing protective equipment, covering your mouth and nose with a wet towel, and taking iodine preparations. The higher the severity, the more treatment options available, and the wider the scope. The lower the severity, the fewer treatment options available. The distance from the radiation source varies with severity, as the intensity of radiation decreases with distance. In different testing scenarios, protective clothing, gloves, eye protection, and hats may be required to avoid direct exposure to radiation. Ensure the size, seal, and quality of protective clothing to ensure effective protection. Covering your mouth and nose with a wet towel can reduce the inhalation of radioactive substances. Taking appropriate amounts of iodine preparations can help prevent nuclear radiation exposure, especially for residents living near nuclear power plants. Dietary adjustments can also ensure adequate nutrition and energy, including protein and fresh vegetables, to boost metabolism.

[0068] The present application embodiment provides a data analysis system based on radioactivity monitoring, referring to Figure 2 , the data analysis system based on radioactivity monitoring includes:

[0069] The data acquisition module 201 is used to acquire data to be analyzed, where the data to be analyzed represents data obtained by a radioactivity monitoring device, which is used to monitor radioactive substances and radioactivity concentrations in an environment;

[0070] Data analysis module 202, used to analyze the data relationship between the radioactivity concentrations of different radioactive substances and determine the detection scenario. The data relationship is used to reflect the interaction between radioactive substances;

[0071] The result determination module 203 is used to determine the severity of the detection scenario and the treatment method according to the detection scenario and the detection standard corresponding to the detection scenario.

[0072] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0073] The embodiment of the present application discloses an electronic device. Figure 3The electronic device includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 307 to the random access memory (RAM) 303. Various programs and data required for system operation are also stored in the RAM 303. The CPU 301, ROM 302 and RAM 303 are connected to each other through a bus. The input / output (I / O) interface 304 is also connected to the bus.

[0074] The following components are connected to the I / O interface 304: an input section 305 including a keyboard, a mouse, etc.; an output section 306 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 307 including a hard disk; and a communication section 308 including a network interface card such as a local area network (LAN) card or a modem. The communication section 308 performs communication processing via a network such as the Internet. A drive 309 is also connected to the I / O interface 304 as needed. A removable medium 310, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 309 as needed so that a computer program read therefrom can be installed into the storage section 307 as needed.

[0075] In particular, according to the embodiment of the present application, the above reference flow chart Figure 1 The described process can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product comprising a computer program carried on a machine-readable medium, the computer program containing program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 308 and / or installed from a removable medium 310. When the computer program is executed by the central processing unit (CPU) 301, the above-mentioned functions defined in the apparatus of the present application are performed.

[0076] It should be noted that the computer-readable medium described in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples of computer-readable storage media can include, but are not limited to, an electrical connection having one or more conductors, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or component. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination thereof.

[0077] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. A data analysis method based on radioactivity monitoring, characterized in that: include: Acquiring data to be analyzed, wherein the data to be analyzed represents data obtained by a radioactivity monitoring device, wherein the radioactivity monitoring device is used to monitor radioactive substances in an environment and the radioactivity concentration of the radioactive substances; Analyzing the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario, wherein the data relationship is used to reflect the interaction between the radioactive substances; The severity and handling method of the detection scenario are determined according to the detection scenario and the detection standard corresponding to the detection scenario.

2. The data analysis method based on radioactivity monitoring according to claim 1, characterized in that: The analyzing the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario includes: sorting the radioactive substances according to the radioactivity concentration to obtain a radioactivity sequence; calculating the detection concentration ratios between the radioactive substances according to the radiation sequence; The detection scene is determined based on the concentration ratios corresponding to different preset scenes and the detection concentration ratio.

3. The data analysis method based on radioactivity monitoring according to claim 2, characterized in that: The radiation sequence is sorted in descending order; Calculating the detection concentration ratios between the radioactive substances according to the radiation sequence includes: sequentially acquiring detection data sets according to the radiation sequence, wherein the detection data sets include radioactivity concentrations of two different radioactive substances; The detection concentration ratio of each of the detection data sets is calculated.

4. The data analysis method based on radioactivity monitoring according to claim 2, characterized in that: The determining of the detection scene according to the concentration ratios corresponding to different preset scenes and the detection concentration ratio includes: Calculating concentration similarities between concentration ratios corresponding to different preset scenarios and the detected concentration ratios; Determining whether the concentration similarity is within a similarity range corresponding to the preset scene, and obtaining a similarity result; According to the similarity result, a detection scene is determined from the preset scenes.

5. The data analysis method based on radioactivity monitoring according to claim 4, characterized in that: The preset scenes include multiple; The determining whether the concentration similarity is within the similarity range corresponding to the preset scene to obtain a similarity result includes: When the concentration similarity is within the similarity range corresponding to the preset scene, the preset scene is added to the similarity result.

6. The data analysis method based on radioactivity monitoring according to claim 4, characterized in that: Determining the detection scene from the preset scenes based on the similarity result includes: When the similarity result includes one of the preset scenes, the preset scene is used as the detection scene; When the similarity result includes a plurality of the preset scenes, the detection scene is determined according to the concentration similarities corresponding to the preset scenes.

7. The data analysis method based on radioactivity monitoring according to claim 1, characterized in that: The determining, based on the detection scenario and the detection standard corresponding to the detection scenario, the severity and handling method of the detection scenario includes: comparing the radioactivity concentration of the radioactive substance and the radioactive material with the detection standard to determine the severity; The treatment method is determined according to the severity.

8. A data analysis system based on radioactivity monitoring, characterized in that: include: a data acquisition module, configured to acquire data to be analyzed, wherein the data to be analyzed represents data obtained by a radioactivity monitoring device, wherein the radioactivity monitoring device is configured to monitor radioactive substances in an environment and the radioactivity concentration of the radioactive substances; a data analysis module for analyzing the data relationship between the radioactivity concentrations of different radioactive substances to determine the detection scenario, wherein the data relationship is used to reflect the interaction between the radioactive substances; The result determination module is used to determine the severity and treatment method of the detection scenario according to the detection scenario and the detection standard corresponding to the detection scenario.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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