Intelligent tracking analysis method and system for abnormal radiation object of nuclear power plant

Abstract

The invention discloses an intelligent tracking analysis method and system for a radiation abnormal object of a nuclear power plant. The method comprises the following steps: automatically acquiring an alarm object identity and a time window in response to a radiation monitoring system alarm; based on a multi-source data fusion mechanism, collecting multi-dimensional feature data from a control area access management system, a radiation work permission system, a personal dose monitoring system and an environmental radiation monitoring system; constructing a pollution risk conduction map, and calculating correlation intensity of each working scene and radiation anomaly through a weighted risk conduction model; and automatically generating a visual report containing the risk traceability path and pushing the visual report to a specified terminal. The system comprises a distributed data acquisition module, a multi-dimensional data fusion engine, an intelligent analysis decision module, a report generator and a security push gateway. Through data fusion and intelligent analysis, human memory deviation is effectively avoided, and timeliness, accuracy and objectivity of nuclear power plant radiation anomaly event investigation are significantly improved.

Description

Technical Field

[0001] This invention belongs to the field of nuclear power plant radiation safety and information technology, and particularly relates to an intelligent tracking and analysis method and system for abnormal radiation objects in nuclear power plants. Background Technology

[0002] During the operation of a nuclear power plant, when workers enter the radiation control area for equipment maintenance, inspection, or other tasks, they may experience abnormal personal doses or skin contamination alarms due to exposure to radioactive materials. In the event of such an anomaly, the radiation protection department needs to promptly launch an investigation to identify the source of contamination, assess the risk of internal exposure, and take control measures to prevent the spread of contamination and subsequent accidental exposure.

[0003] Currently, traditional investigation methods primarily rely on manual operation. The process typically involves radiation protection personnel questioning the alarm recipient, recalling their activity path, work content, and companions within the controlled area based on experience. Then, they manually log into multiple independent production systems, such as the Controlled Area Access Management System (KZC), the Radiation Work Permit System (RWP), and the wireless remote monitoring system, to query, verify, and correlate relevant information one by one. This manual investigation method has the following significant drawbacks:

[0004] Poor timeliness: The entire investigation process is cumbersome and time-consuming, usually taking more than 30 minutes, which cannot meet the requirements for rapid response to abnormal events and may result in pollution not being controlled in a timely manner.

[0005] Low accuracy: The investigation results rely heavily on the subjective memory and description of the person who reported the incident, which may be subject to memory bias, omissions, or even deliberate concealment or falsification by individuals, leading to unreliable investigation conclusions.

[0006] Inefficient: Investigators need to frequently switch between different systems and manually compare data, which is labor-intensive and makes it difficult to conduct comprehensive correlation analysis on multiple historical work.

[0007] Data silos: The existing radiation safety management systems in nuclear power plants (such as KZC, RWP, wireless monitoring, personal dosimetry systems, etc.) are independent of each other, with inconsistent data formats and interfaces, and lack effective data fusion and intelligent analysis methods.

[0008] Although some personnel location and radiation monitoring systems exist in the existing technology, these systems are often single-function, providing only local information and failing to achieve deep fusion and intelligent analysis of multi-source data. This makes it difficult to meet the needs of nuclear power plants for rapid and accurate response to radiation anomalies.

[0009] Therefore, there is an urgent need in this field for a technical solution that can automatically, quickly, and accurately track and analyze radiation anomalies in order to overcome the above-mentioned shortcomings of the existing technology. Summary of the Invention

[0010] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an intelligent tracking and analysis method and system for anomaly detection in nuclear power plants. This method and system aim to automatically and rapidly generate investigation reports after an alarm event occurs by establishing a cross-system automatic data acquisition mechanism and a multi-source data fusion analysis model, significantly improving the timeliness, accuracy, and objectivity of event investigations, thereby providing strong support for on-site radiation safety management.

[0011] In a first aspect, the present invention provides an intelligent tracking and analysis method for radiation anomalies in nuclear power plants, comprising:

[0012] In response to abnormal alarm signals triggered by the radiation monitoring system of a nuclear power plant, the system automatically obtains the identity of the alarm object and the associated time window;

[0013] Based on a multi-source heterogeneous data fusion mechanism, multi-dimensional feature data related to the alarm object within the time window are collected from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system.

[0014] A pollution risk transmission map is constructed, and the collected trajectory data, dose data, environmental data and radiation work permits are spatiotemporally correlated and mapped. The correlation strength between each work scenario and radiation anomaly is calculated through a weighted risk transmission model.

[0015] The system sorts work scenarios based on their correlation strength, automatically generates a visual analysis report containing risk tracing paths, and pushes it to designated terminals through a secure messaging channel.

[0016] Secondly, the present invention provides an intelligent tracking and analysis system for radiation anomalies in nuclear power plants, comprising:

[0017] The acquisition module is configured to automatically acquire the identity of the alarm object and the associated time window in response to abnormal alarm signals triggered by the nuclear power plant radiation monitoring system;

[0018] The fusion module is configured to collect multi-dimensional feature data related to the alarm object within the time window from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system based on a multi-source heterogeneous data fusion mechanism.

[0019] The calculation module is configured to construct a pollution risk transmission map, which maps the collected trajectory data, dose data, environmental data and radiation work permits in a spatiotemporal manner, and calculates the correlation strength between each work scenario and radiation anomaly event through a weighted risk transmission model.

[0020] The push module is configured to sort work scenarios based on the strength of association, automatically generate a visual analysis report containing risk tracing paths, and push it to the designated terminal through a secure message channel.

[0021] Thirdly, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the intelligent tracking and analysis method for nuclear power plant radiation anomalies according to any embodiment of the present invention.

[0022] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the steps of the intelligent tracking and analysis method for nuclear power plant radiation anomalies according to any embodiment of the present invention.

[0023] This application presents an intelligent tracking and analysis method and system for anomaly detection in nuclear power plants. For the first time, it achieves full automation and intelligence in the investigation of anomaly events in nuclear power plants. By establishing a multi-source heterogeneous data fusion mechanism, it transforms the traditional cumbersome investigation process, which relies on manual inquiry and switching between systems, into an automatically completed intelligent analysis system. This significantly improves the accuracy and objectivity of the investigation results. The data comes directly from various production monitoring systems, effectively avoiding human memory bias and subjective concealment. Combined with pollution risk transmission maps and weighted risk transmission models, it can quantitatively assess the risk correlation of various work scenarios and accurately pinpoint pollution sources and transmission paths. It constructs a new data-driven paradigm for radiation safety decision-making. Through advanced technologies such as Bluetooth and visual fusion positioning, dynamic weight allocation, and graph neural networks, it transforms isolated data into causal source-tracing insights, providing precise basis for protective measures. The system design balances efficient analysis with operational safety. It uses a production environment mirroring module to ensure physical isolation between the analysis process and the core control system. Simultaneously, the system architecture meets the requirements of domestic production and information security, employing a microservice architecture and national cryptographic algorithms for encryption, providing reliable technical support for the digital transformation and safe operation of nuclear power plants. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 A flowchart of an intelligent tracking and analysis method for radiation anomalies in nuclear power plants provided in an embodiment of the present invention;

[0026] Figure 2 This is a structural block diagram of an intelligent tracking and analysis system for radiation anomalies in nuclear power plants, provided in an embodiment of the present invention.

[0027] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Please see Figure 1 The diagram shows a flowchart of an intelligent tracking and analysis method for radiation anomalies in nuclear power plants, as described in this application.

[0030] like Figure 1 As shown, the intelligent tracking and analysis method for radiation anomalies in nuclear power plants specifically includes the following steps:

[0031] Step S101: In response to an abnormal alarm signal triggered by the nuclear power plant radiation monitoring system, automatically obtain the identity of the alarm object and the associated time window.

[0032] Step S102: Based on the multi-source heterogeneous data fusion mechanism, multi-dimensional feature data related to the alarm object within the time window are collected from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system.

[0033] In this step, the entry and exit records of alarm objects, associated radiation work permit numbers, activity area codes, and access control alarm data are collected from the controlled area access management system.

[0034] Collect time-series dose data, dose rate data, and real-time location trajectory of the alarm subject from the personal dose monitoring system;

[0035] The environmental radiation monitoring system collects monitoring values ​​of surface pollution levels, air pollution concentrations, and gamma dose rates in the areas through which the alarm target passes.

[0036] Collect information from the radiation work permit system, including the description of the work content, the location of the work function, the list of authorized rooms, the surface contamination risk level, and the air pollution risk level corresponding to the permit.

[0037] Step S103: Construct a pollution risk transmission map, and perform spatiotemporal correlation mapping between the collected trajectory data, dose data, environmental data and radiation work permits. Calculate the correlation strength between each work scenario and abnormal radiation events through a weighted risk transmission model.

[0038] In this step, constructing a pollution risk transmission map includes:

[0039] Establish a graph structure model with alarm objects as the main nodes, each radiation operation as the sub-nodes, and environmental monitoring points as environmental nodes;

[0040] The spatiotemporal matching algorithm is used to associate personal dose data, environmental radiation data and location information in radiation work permits;

[0041] Based on a dynamic weighting strategy, different weighting coefficients are assigned to multiple dimensions such as trajectory overlap, pollution level, dose gradient, residence duration, and abnormality among group members.

[0042] The impact score of each child node on the abnormal state of the master node is calculated by using a graph neural network to form a risk transmission path.

[0043] It should be noted that dynamic weight allocation strategies include:

[0044] Based on statistical analysis of historical alarm data, the basic weight coefficients for each dimension are determined.

[0045] Real-time environmental factors are introduced to dynamically adjust the basic weights. These environmental factors include area ventilation conditions, surface cleanliness, and intensity of work activities.

[0046] The weight of dimensions with obvious abnormal features is enhanced by an attention mechanism. These abnormal features include dose rate mutations, pollution levels exceeding standards, and concurrent alarms from people in the same group.

[0047] Data fusion includes: establishing a precise three-dimensional spatial model of the control area, unifying Bluetooth positioning data and visual positioning data into the same coordinate system; using the Kalman filter algorithm to perform temporal alignment and spatial registration of the two types of positioning data; and using a multi-target tracking algorithm to associate the Bluetooth identifier and visual features of the same person to generate a continuous, complete, and room-level accurate movement trajectory.

[0048] Step S104: Sort the work scenarios based on the correlation strength, automatically generate a visual analysis report containing the risk tracing path, and push it to the designated terminal through a secure message channel.

[0049] In this step, the movement trajectory and key events of the alarm object within the control area are displayed in the form of a timeline; the radiation level distribution of the path area is displayed in the form of a heat map; the correlation strength ranking of each work scenario and alarm event is displayed in the form of a correlation diagram; and the most likely pollution source location and propagation path are automatically identified.

[0050] In summary, the method presented in this application achieves, for the first time, full automation and intelligence in the investigation of radiation anomalies in nuclear power plants. By establishing a multi-source heterogeneous data fusion mechanism, it transforms the traditional cumbersome investigation process, which relied on manual questioning and manual switching between systems, into an automated intelligent analysis system. This significantly improves the accuracy and objectivity of the investigation results. The data originates directly from various production monitoring systems, effectively avoiding human memory bias and subjective concealment. Combined with pollution risk transmission maps and weighted risk transmission models, it can quantitatively assess the risk correlation of various work scenarios and accurately pinpoint pollution sources and transmission paths. Furthermore, it constructs a new data-driven paradigm for radiation safety decision-making. Through advanced technologies such as Bluetooth and visual fusion positioning, dynamic weight allocation, and graph neural networks, it transforms isolated data into causal insights, providing precise basis for protective measures. The system design balances efficient analysis with operational safety. It employs a production environment mirroring module to ensure physical isolation between the analysis process and the core control system. Simultaneously, the system architecture meets the requirements of domestic production and information security, adopting a microservice architecture and national cryptographic algorithms for encryption, providing reliable technical support for the digital transformation and safe operation of nuclear power plants.

[0051] Please see Figure 2 The diagram shows a structural block diagram of an intelligent tracking and analysis system for radiation anomalies in nuclear power plants, as described in this application.

[0052] like Figure 2 As shown, the intelligent tracking and analysis system 200 for abnormal radiation objects in nuclear power plants includes an acquisition module 210, a fusion module 220, a calculation module 230, and a push module 240.

[0053] The acquisition module 210 is configured to automatically acquire the identity and associated time window of the alarm object in response to an abnormal alarm signal triggered by the nuclear power plant radiation monitoring system; the fusion module 220 is configured to collect multi-dimensional feature data related to the alarm object within the time window from the control area access management system, radiation work permit system, personal dose monitoring system, and environmental radiation monitoring system based on a multi-source heterogeneous data fusion mechanism; the calculation module 230 is configured to construct a pollution risk transmission map, perform spatiotemporal correlation mapping of the collected trajectory data, dose data, environmental data, and radiation work permit, and calculate the correlation strength between each work scenario and the radiation anomaly event through a weighted risk transmission model; and the push module 240 is configured to sort the work scenarios based on the correlation strength, automatically generate a visual analysis report containing the risk tracing path, and push it to a designated terminal through a security message channel.

[0054] It should be understood that Figure 2 The modules and references described in the document Figure 1 The steps described in the text correspond to those in the method described above. Therefore, the operations, features, and corresponding technical effects described above also apply to the method described in the text. Figure 2 The various modules in the document will not be described in detail here.

[0055] In other embodiments, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the intelligent tracking and analysis method for nuclear power plant radiation anomalies in any of the above method embodiments.

[0056] In one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, which are configured as follows:

[0057] In response to abnormal alarm signals triggered by the radiation monitoring system of a nuclear power plant, the system automatically obtains the identity of the alarm object and the associated time window;

[0058] Based on a multi-source heterogeneous data fusion mechanism, multi-dimensional feature data related to the alarm object within the time window are collected from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system.

[0059] A pollution risk transmission map is constructed, and the collected trajectory data, dose data, environmental data and radiation work permits are spatiotemporally correlated and mapped. The correlation strength between each work scenario and radiation anomaly is calculated through a weighted risk transmission model.

[0060] The system sorts work scenarios based on their correlation strength, automatically generates a visual analysis report containing risk tracing paths, and pushes it to designated terminals through a secure messaging channel.

[0061] Computer-readable storage media may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data created based on the use of the intelligent tracking and analysis system for radiation anomalies in nuclear power plants, etc. Furthermore, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include memory remotely configured relative to a processor, which can be connected to the intelligent tracking and analysis system for radiation anomalies in nuclear power plants via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0062] Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present invention, such as... Figure 3 As shown, the device includes a processor 310 and a memory 320. The electronic device may also include an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 can be connected via a bus or other means. Figure 3 Taking a bus connection as an example, the memory 320 is the computer-readable storage medium described above. The processor 310 executes various server functions and data processing by running non-volatile software programs, instructions, and modules stored in the memory 320, thereby implementing the intelligent tracking and analysis method for nuclear power plant radiation anomalies described in the above embodiment. The input device 330 can receive input digital or character information and generate key signal inputs related to user settings and function control of the intelligent tracking and analysis system for nuclear power plant radiation anomalies. The output device 340 may include a display screen or other display device.

[0063] The aforementioned electronic device can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in the embodiments of the present invention.

[0064] In one implementation, the aforementioned electronic device is applied in an intelligent tracking and analysis system for radiation anomalies in nuclear power plants, serving as a client, and includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0065] In response to abnormal alarm signals triggered by the radiation monitoring system of a nuclear power plant, the system automatically obtains the identity of the alarm object and the associated time window;

[0066] Based on a multi-source heterogeneous data fusion mechanism, multi-dimensional feature data related to the alarm object within the time window are collected from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system.

[0067] A pollution risk transmission map is constructed, and the collected trajectory data, dose data, environmental data and radiation work permits are spatiotemporally correlated and mapped. The correlation strength between each work scenario and radiation anomaly is calculated through a weighted risk transmission model.

[0068] The system sorts work scenarios based on their correlation strength, automatically generates a visual analysis report containing risk tracing paths, and pushes it to designated terminals through a secure messaging channel.

[0069] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent tracking and analysis of radiation anomalies in nuclear power plants, characterized in that, include: In response to abnormal alarm signals triggered by the radiation monitoring system of a nuclear power plant, the system automatically obtains the identity of the alarm object and the associated time window; Based on a multi-source heterogeneous data fusion mechanism, multi-dimensional feature data related to the alarm object within the time window are collected from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system. A pollution risk transmission map is constructed, and the collected trajectory data, dose data, environmental data and radiation work permits are spatiotemporally correlated and mapped. The correlation strength between each work scenario and radiation anomaly is calculated through a weighted risk transmission model. The system sorts work scenarios based on their correlation strength, automatically generates a visual analysis report containing risk tracing paths, and pushes it to designated terminals through a secure messaging channel.

2. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 1, characterized in that, The multi-dimensional feature data collected based on the multi-source heterogeneous data fusion mechanism includes: The system collects entry and exit records of alarm targets, associated radiation work permit numbers, activity area codes, and access control alarm data from the controlled area access management system. Collect time-series dose data, dose rate data, and real-time location trajectory of the alarm subject from the personal dose monitoring system; The environmental radiation monitoring system collects monitoring values ​​of surface pollution levels, air pollution concentrations, and gamma dose rates in the areas through which the alarm target passes. Collect information from the radiation work permit system, including the description of the work content, the location of the work function, the list of authorized rooms, the surface contamination risk level, and the air pollution risk level corresponding to the permit.

3. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 2, characterized in that, The construction of the pollution risk transmission map includes: Establish a graph structure model with alarm objects as the main nodes, each radiation operation as the sub-nodes, and environmental monitoring points as environmental nodes; The spatiotemporal matching algorithm is used to associate personal dose data, environmental radiation data and location information in radiation work permits; Based on a dynamic weighting strategy, different weighting coefficients are assigned to multiple dimensions such as trajectory overlap, pollution level, dose gradient, residence duration, and abnormality among group members. The impact score of each child node on the abnormal state of the master node is calculated by using a graph neural network to form a risk transmission path.

4. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 3, characterized in that, The dynamic weight allocation strategy includes: Based on statistical analysis of historical alarm data, the basic weight coefficients for each dimension are determined. Real-time environmental factors are introduced to dynamically adjust the basic weights. These environmental factors include area ventilation conditions, surface cleanliness, and intensity of work activities. The weight of dimensions with obvious abnormal features is enhanced by an attention mechanism. These abnormal features include dose rate mutations, pollution levels exceeding standards, and concurrent alarms from people in the same group.

5. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 1, characterized in that, Prior to acquiring the multidimensional feature data, the method further includes: By fusing data from Bluetooth beacon positioning networks and computer vision positioning systems, a refined movement trajectory of the alarm target within the radiation control area can be constructed. The Bluetooth beacon positioning network achieves regional positioning through smart dosimeters worn by personnel and beacon devices deployed in the control area; The computer vision positioning system achieves spatial positioning with meter-level accuracy by using cameras deployed at key locations, combined with deep learning target detection and personnel re-identification algorithms.

6. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 5, characterized in that, The data fusion includes: Establish a precise three-dimensional spatial model of the control area and unify Bluetooth positioning data and visual positioning data into the same coordinate system; The Kalman filter algorithm is used to perform temporal alignment and spatial registration of the two types of positioning data; By using a multi-target tracking algorithm to link the Bluetooth identifier and visual features of the same person, a continuous, complete, and room-level accurate movement trajectory is generated.

7. The intelligent tracking and analysis method for radiation anomalies in nuclear power plants according to claim 1, characterized in that, The visualization analysis report includes: Display the movement trajectory and key events of the alarm target within the controlled area in a timeline format; The radiation level distribution of the route area is displayed by overlaying a heat map. The correlation strength between each work scenario and alarm event is displayed in the form of a correlation diagram. It automatically identifies the most likely source of pollution and its transmission path.

8. An intelligent tracking and analysis system for radiation anomalies in nuclear power plants, characterized in that, include: The acquisition module is configured to automatically acquire the identity of the alarm object and the associated time window in response to abnormal alarm signals triggered by the nuclear power plant radiation monitoring system; The fusion module is configured to collect multi-dimensional feature data related to the alarm object within the time window from the control area access management system, radiation work permit system, personal dose monitoring system and environmental radiation monitoring system based on a multi-source heterogeneous data fusion mechanism. The calculation module is configured to construct a pollution risk transmission map, which maps the collected trajectory data, dose data, environmental data and radiation work permits in a spatiotemporal manner, and calculates the correlation strength between each work scenario and radiation anomaly event through a weighted risk transmission model. The push module is configured to sort work scenarios based on the strength of association, automatically generate a visual analysis report containing risk tracing paths, and push it to the designated terminal through a secure message channel.

9. An electronic device, characterized in that, include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method according to any one of claims 1 to 7.

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