Nuclear power plant emergency decision-making method, device and storage medium

Abstract

The present disclosure proposes a nuclear power plant emergency decision-making method, device and storage medium. The method includes: obtaining concentration data of radioactive substances leaked from the nuclear power plant, and when the concentration data is greater than a set threshold, obtaining environmental information at the current time, wherein the environmental information includes environmental temperature information, humidity information, and wind force information, and using a pre-trained model to calculate the concentration data and environmental information, determine the pollution level of the radioactive substances, and determine and report the emergency response action information based on the pollution level. When the concentration of the radioactive substances exceeds the threshold, the pollution level can be determined based on the concentration and environmental temperature, humidity, wind force and other information, and then the corresponding emergency response action can be decided, thereby improving the accuracy of emergency response action decisions and facilitating the rapid resolution of nuclear accident problems.

Description

Technical Field

[0001] The present disclosure relates to the field of nuclear power plant emergency technology, and in particular to a nuclear power plant emergency decision-making method, device and storage medium. Background Art

[0002] Nuclear emergency is the last barrier of nuclear safety defense in depth. It has the characteristics of wide coverage, strong technicality and great social impact. Once a serious safety accident occurs in a nuclear power enterprise, the consequences will be irreversible. In order to better carry out nuclear emergency preparations, relevant technologies can provide rapid auxiliary decision support for the emergency command center during the emergency response process. However, the existing emergency decision support methods need to improve the accuracy of decision-making for accidents such as nuclear leaks. Summary of the invention

[0003] The present application proposes a nuclear power plant emergency decision-making method, device and storage medium, aiming to solve one of the technical problems in the related art at least to a certain extent.

[0004] The first aspect of the present application proposes a nuclear power plant emergency decision-making method, including: obtaining concentration data of radioactive substances leaked from the nuclear power plant; when the concentration data is greater than a set threshold, obtaining environmental information at the current time, wherein the environmental information includes ambient temperature information, humidity information, and wind speed information; using a pre-trained model to calculate the concentration data and environmental information to determine the contamination level of the radioactive substance; and according to the contamination level, determining and reporting the emergency response action information to be taken.

[0005] The second aspect of the present application proposes a nuclear power plant emergency decision-making device, including: a first acquisition module, used to obtain concentration data of radioactive substances leaked from the nuclear power plant; a second acquisition module, used to obtain environmental information at the current time when the concentration data is greater than a set threshold, wherein the environmental information includes ambient temperature information, humidity information, and wind information; a first determination module, used to use a pre-trained model to calculate the concentration data and environmental information to determine the contamination level of the radioactive substance; and a second determination module, used to determine and report the emergency response action information taken based on the contamination level.

[0006] The third aspect embodiment of the present application proposes an electronic device, 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, and the instructions are executed by the at least one processor so that the at least one processor can execute the nuclear power plant emergency decision-making method of the embodiment of the present application.

[0007] The fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the nuclear power plant emergency decision-making method disclosed in the embodiment of the present application.

[0008] In this embodiment, by obtaining the concentration data of the radioactive material leaked from the nuclear power plant, and when the concentration data is greater than a set threshold, the environmental information at the current time is obtained, wherein the environmental information includes environmental temperature information, humidity information, and wind speed information, and a pre-trained model is used to calculate the concentration data and environmental information to determine the contamination level of the radioactive material, and according to the contamination level, determine the emergency response action information to be taken and report it. When the concentration of the radioactive material exceeds the threshold, the contamination level can be determined according to the concentration and the environmental temperature, humidity, wind speed and other information, and then the emergency response action to be taken can be decided, thereby improving the accuracy of the emergency response action decision, which is conducive to the rapid resolution of nuclear accident problems.

[0009] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0011] Figure 1 It is a flowchart of a nuclear power plant emergency decision-making method proposed in an embodiment of the present disclosure;

[0012] Figure 2 is a schematic diagram of the software architecture of the nuclear power plant emergency decision-making system proposed in the embodiment of the present disclosure;

[0013] Figure 3 is a flowchart of a nuclear power plant emergency decision-making method proposed in another embodiment of the present disclosure;

[0014] Figure 4 is a schematic diagram of a nuclear power plant emergency decision-making device proposed in another embodiment of the present disclosure;

[0015] Figure 5 A block diagram of an exemplary computer device suitable for implementing embodiments of the present application is shown. DETAILED DESCRIPTION

[0016] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0017] It should be noted that the executor of the nuclear power plant emergency decision-making method of this embodiment can be a nuclear power plant emergency decision-making device, which can be implemented by software and / or hardware. The device can be configured in an electronic device, and the electronic device can include but is not limited to a terminal, a server, etc.

[0018] Figure 1 1 is a flow chart of a nuclear power plant emergency decision-making method provided according to an embodiment of the present disclosure. Figure 1 As shown, the method includes:

[0019] S101: Obtaining concentration data of radioactive substances leaked from nuclear power plants.

[0020] In the disclosed embodiment, a radioactive material detection device can be set up in a nuclear power plant, and the concentration data of the radioactive material leaked from the nuclear power plant can be detected in real time by the detection device, and the concentration data of the radioactive material can be transmitted to the emergency decision-making system of the nuclear power plant. That is to say, the nuclear power plant emergency decision-making method of the present embodiment can be executed by the emergency decision-making system of the nuclear power plant, for example. Among them, the emergency decision-making system can adopt a multi-layer SOA architecture, have the characteristics of loose coupling, and can add new services or update existing services in a modular way, specifically including: 1) Database layer: its function is mainly responsible for database access, including real-time database and relational database, can support various types of communication interfaces and provide corresponding communication interface programs; 2) Business logic layer: mainly focuses on system design related to business needs such as the formulation of business rules and the implementation of business processes, can respond to user requests of the interface layer, execute tasks and grab data from the data layer, and transmit necessary data to the human-machine interface layer; 3) Human-machine interface layer: user interface part, responsible for interaction with application logic. Through the human-machine interface layer, users input data and obtain data. The interface layer is implemented using Silverlight technology to achieve cross-platform and cross-browser requirements.

[0021] Figure 2 Schematic diagram of the software architecture of the nuclear power plant emergency decision-making system proposed in the embodiment of the present disclosure. Figure 2As shown in FIG. 1 , the software architecture of the emergency decision-making system includes: 1) an offline configuration tool, which is deployed on an engineer station and configured for offline configuration, including database configuration (variable attributes and parameter modification), algorithm configuration, graphic configuration, password setting, etc., as well as offline query, including viewing the database definition information of variables and the statistical information of the database, etc.; 2) real-time data service software, which is deployed on a redundant real-time data server and configured to complete the reception and storage of real-time data (units, weather, environment, etc.) and the provision of related services (trends, alarms, logs, etc.), as well as system clock, start and stop the operation of real-time systems and services, request data archiving to a CD, and restore and query CD data; 3) relational data service software, which is deployed on a redundant real-time data server and configured to complete the reception and storage of real-time data (units, weather, environment, etc.) and the provision of related services (trends, alarms, logs, etc.), as well as system clock, start and stop the operation of real-time systems and services, request data archiving to a CD, and restore and query CD data; 4) relational data service software, which is deployed on a redundant real-time data server and configured to complete the reception and storage of real-time data (units, weather, environment, etc.) and the provision of related services (trends, alarms, logs, etc.), as well as system clock, start and stop the operation of real-time systems and services, request data archiving to a CD, and restore and query CD data; 5) relational data service software, which is deployed on a redundant real-time data server and configured to complete the reception and storage of real-time data (units, weather, environment, etc.) and the provision of related services (trends, alarms, logs, etc.). On the redundant relational data server, it is configured to complete the reception, storage and provision of related services of relational data (personnel, documents, etc.); 4) Web server software, including the WCF interface service deployed on the Web server and the Web publishing service deployed on the publishing server, wherein the WCF interface service is configured to encapsulate the standard WCF interface, and the Web publishing service is configured to provide services to the human-machine interface; 5) The browser is deployed in the client of the operation station and is used to view emergency-related screens and perform interactive operations; 8) The communication program is deployed in the gateway machine of the communication station and is configured to communicate with the basic data of the power plant, send the received data to the emergency system server, and communicate with the external system to send the received data to the real-time and relational server software. In addition, the software architecture of the emergency decision-making system of this embodiment also includes: GIS geographic information software, deployed on the GIS server, configured to provide electronic maps of the nuclear power plant including an 80km radius around the power plant and various layer applications; consequence assessment software, deployed on the consequence assessment server, configured to provide algorithm models, operations, and processing for consequence assessment of the power plant; unit status diagnosis software, deployed on the unit status diagnosis server, configured to provide diagnostic algorithm models, calculations, and data storage for the status of the high-temperature reactor units of the power plant.

[0022] In practical applications, the nuclear power plant emergency decision-making method of this embodiment can be specifically executed by a consequence assessment server, that is, the consequence assessment server can obtain the concentration data of the radioactive substance.

[0023] S102: When the concentration data is greater than a set threshold, obtain the current environmental information.

[0024] After obtaining the real-time radioactive material concentration data as described above, the disclosed embodiment may further compare the concentration data with a set threshold. If the concentration data is less than or equal to the set threshold, it indicates that the leakage concentration of the radioactive material will not cause a nuclear accident, and in this case, no emergency response is required.

[0025] If the concentration data is greater than the set threshold, it means that the radioactive material exceeds the standard and may cause a nuclear accident, and emergency treatment is required. In practical applications, different temperatures, humidity, and wind speeds will have different effects on the diffusion of radioactive materials, thereby affecting the extent of nuclear accidents. In this case, this embodiment can obtain environmental information at the current time. In some embodiments, the environmental information may include, for example, different environmental temperature information, humidity information, wind speed information (wind speed, wind direction, etc.) and any other environmental information that affects the concentration of radioactive materials, without limitation.

[0026] S103: Use a pre-trained model to calculate the concentration data and environmental information to determine the contamination level of the radioactive material.

[0027] Among them, the pollution level is used to describe the pollution of the environment caused by the leakage of radioactive substances. Different concentration data and environmental information can cause different degrees of pollution, that is, different pollution levels.

[0028] This embodiment can pre-train a model for predicting pollution levels, such as a neural network model. The model can be trained using a training data set consisting of different radioactive material concentration data, environmental information, and corresponding pollution levels until the model converges. During application, real-time concentration data and environmental information can be used as input data for the model, and the corresponding pollution level can be output.

[0029] It is understandable that this embodiment is only an illustrative example of determining the pollution level by a model. In actual applications, any other possible method can be used to determine the pollution level, for example, determining the pollution level based on a mapping relationship between a preset pollution level and concentration data and environmental information, without limitation.

[0030] S104: Determine the emergency response action information to be taken and report it based on the pollution level.

[0031] That is to say, the emergency response action information to be taken is determined according to the pollution level, and the emergency response action information includes, for example, emergency personnel configuration, fire configuration, radioactive material handling methods, and any other possible emergency information, without limitation. In addition, the emergency response information can also be sent to the client browser for emergency personnel to view and perform related interactive operations. In addition, the present embodiment can also report the emergency response action information, for example, to the emergency safety management department.

[0032] In some embodiments, an emergency decision table may be pre-constructed, wherein the emergency decision table records the mapping relationship between the pollution level and the emergency response action, and the emergency decision table is stored in a relational data server, for example. In the operation of determining the emergency response action information to be taken, the emergency decision table is first obtained from the relational data server; further, according to the emergency decision table, the emergency response action information corresponding to the pollution level is queried.

[0033] In other embodiments, after determining the emergency response action information, this embodiment can obtain an electronic map of the geographical location of the nuclear power plant from the GIS server; further, according to the location coordinates of the radioactive material leakage area (the detection equipment will carry the location coordinates when transmitting the concentration data, which can be determined based on the information transmitted by the detection equipment), the concentration data and the emergency response action information are marked on the electronic map, that is, the concentration of the radioactive material and the emergency response action information to be taken are marked at the location of the radioactive material leakage on the electronic map. Thus, it is helpful for emergency personnel to have a clearer understanding of the location of the nuclear accident and the emergency measures to be taken.

[0034] In actual applications, after emergency personnel process the emergency response action information, they can provide feedback on the processing results, that is, send feedback information, such as personnel configuration and operation process feedback information during the actual emergency process. In this case, the nuclear power plant emergency decision of this embodiment can receive feedback information on the emergency response action and update the emergency decision table according to the feedback information.

[0035] For example, when the personnel configuration indicated by the feedback information is different from the personnel configuration in the emergency response action information decided by the system, this embodiment can update the personnel configuration in the corresponding emergency response action information in the emergency decision table, that is, replace the personnel configuration in the emergency decision table with the personnel configuration indicated by the feedback information.

[0036] In this embodiment, by obtaining the concentration data of the radioactive material leaked from the nuclear power plant, and when the concentration data is greater than a set threshold, the environmental information at the current time is obtained, wherein the environmental information includes environmental temperature information, humidity information, and wind speed information, and a pre-trained model is used to calculate the concentration data and environmental information to determine the contamination level of the radioactive material, and according to the contamination level, determine the emergency response action information to be taken and report it. When the concentration of the radioactive material exceeds the threshold, the contamination level can be determined according to the concentration and the environmental temperature, humidity, wind speed and other information, and then the emergency response action to be taken can be decided, thereby improving the accuracy of the emergency response action decision, which is conducive to the rapid resolution of nuclear accident problems.

[0037] Figure 3 It is a flowchart of a nuclear power plant emergency decision-making method provided according to another embodiment of the present disclosure.

[0038] refer to Figure 3 As shown, the method includes:

[0039] S301: Obtaining concentration data of radioactive substances leaked from a nuclear power plant.

[0040] S302: When the concentration data is greater than a set threshold, obtain the current environmental information.

[0041] S303: Use a pre-trained model to calculate the concentration data and environmental information to determine the contamination level of the radioactive material.

[0042] For details of S301 - S303 , please refer to the above embodiment, which will not be repeated here.

[0043] S304: Determine the cause of the radioactive substance leakage accident based on the change trend of the concentration data and the location coordinates of the radioactive substance leakage area.

[0044] In actual applications, there may be many causes of radioactive material leakage. For example, failure of nuclear power plant equipment may cause radioactive material leakage. Different nuclear power plant equipment may cause different phenomena when causing radioactive material leakage. For example, the changing trends of radioactive material leakage from different equipment may be different.

[0045] In view of this, after obtaining the concentration data of the radioactive material, the present embodiment can also determine the change trend of the concentration data over time, and can also extract the location coordinates of the radioactive material leakage area from the information sent by the detection device. Further, according to the change trend of the concentration data and the location coordinates of the radioactive material leakage area, the cause of the accident causing the radioactive material leakage is determined, for example: determining the faulty nuclear power plant equipment.

[0046] S305: Determine emergency response action information based on pollution level and accident cause.

[0047] That is, the emergency response action information can indicate the cause of the accident (e.g., the nuclear power plant equipment that caused the radioactive material leakage). Therefore, emergency personnel can be guided to perform accurate repairs. In practical applications, this step can be performed by the consequence assessment server in the nuclear power plant emergency decision-making system and fed back to the client for display.

[0048] Thus, this embodiment can determine the cause of the accident based on the changing trend of the concentration data and the location coordinates of the radioactive material leakage area, and thus can instruct emergency personnel to perform rapid and accurate maintenance work to mitigate the consequences of the nuclear accident.

[0049] S306: Determine the data types of the concentration data and the emergency response action information.

[0050] The real-time database and relational database of the disclosed embodiment respectively store data of different data types. For example, the real-time database stores real-time unit parameters, simulator parameters, environmental radiation parameters, unit status diagnosis-related data, consequence assessment-related data, and the relational database is used to store basic information of emergency personnel, personnel authority information, personnel training information, emergency exercise data, domestic emergency-related documents, IAEA emergency-related documents, and other information.

[0051] Among them, the database design strictly follows the design principles of large relational databases and meets the requirements of database paradigms; data is presented in various forms such as text, charts, and graphics; the real-time data storage time of this system supports six months; the relational database mainly stores static data, and the storage time is related to the size and number of uploaded files. The relational database is equipped with disk arrays and T-level hard disks, which can meet the storage needs of power plants for several years; the database supports the storage of real-time data with time tags, and can receive or forward real-time data with time tags; the real-time database backup is in the form of files, and maintenance personnel can transfer backups regularly, and can use offline tools to view; the relational database is an automatic backup method, and users can manually back up according to the situation. The servers of the real-time database and the relational database are both equipped with DVD-RW, and users can transfer data by burning; the relational database provides a third-party access method that can meet the exchange with external systems. The exchange of information system and external data will confirm the data exchange method according to the actual situation; the system provides multiple query methods according to different functions, such as the unit data page can screen data according to the system code, and the address book function can provide a variety of combined query methods for precise and fuzzy query.

[0052] After acquiring the concentration data and the emergency response action information, this embodiment can further determine the data types of the concentration data and the emergency response action information, for example: the data type of the concentration data is real-time data, and the data type of the emergency response action information is process data.

[0053] S307: According to the data type, the concentration data and the records of emergency response actions taken are stored in a corresponding database.

[0054] Furthermore, according to the data type, the concentration data and the records of emergency response actions are stored in the corresponding database, for example, the real-time concentration data is stored in the real-time database, and the records of emergency response actions during the emergency process are stored in the relational database. Thus, this embodiment can classify and store the data, facilitate fast query of real-time data, and record process data.

[0055] In this embodiment, by obtaining the concentration data of the radioactive material leaked from the nuclear power plant, and when the concentration data is greater than the set threshold, the environmental information of the current time is obtained, wherein the environmental information includes environmental temperature information, humidity information, and wind information, and the concentration data and environmental information are calculated using a pre-trained model to determine the pollution level of the radioactive material, and according to the pollution level, the emergency response action information taken is determined and reported. When the concentration of the radioactive material exceeds the threshold, the pollution level can be determined according to the concentration and environmental temperature, humidity, wind force and other information, and then the emergency response action adopted can be decided, thereby improving the accuracy of the emergency response action decision, which is conducive to quickly solving the nuclear accident problem. In addition, this embodiment can determine the cause of the accident according to the change trend of the concentration data and the location coordinates of the radioactive material leakage area, so that the emergency personnel can be instructed to perform fast and accurate maintenance work to reduce the consequences of the nuclear accident. In addition, this embodiment can classify and store the data, which is convenient for rapid query of real-time data and recording of process data.

[0056] Figure 4 is a schematic diagram of a nuclear power plant emergency decision-making device provided according to another embodiment of the present disclosure, such as Figure 4 As shown, the nuclear power plant emergency decision-making device 40 includes:

[0057] The first acquisition module 401 is used to acquire the concentration data of the radioactive substances leaked from the nuclear power plant;

[0058] The second acquisition module 402 is used to acquire the current environmental information when the concentration data is greater than a set threshold, wherein the environmental information includes environmental temperature information, humidity information, and wind force information;

[0059] A first determination module 403 is used to calculate the concentration data and environmental information using a pre-trained model to determine the contamination level of the radioactive material; and

[0060] The second determination module 404 is used to determine and report the emergency response action information to be taken according to the pollution level.

[0061] In some embodiments, the device 40 further includes: a third determination module, configured to determine the cause of the accident causing the leakage of the radioactive material according to the change trend of the concentration data and the position coordinates of the area where the radioactive material has leaked;

[0062] Furthermore, the second determination module 404 is specifically configured to determine emergency response action information according to the pollution level and the cause of the accident.

[0063] In some embodiments, the device 40 further includes: a third acquisition module, used to acquire an electronic map of the geographical location of the nuclear power plant; and a marking module, used to mark the concentration data and emergency response action information on the electronic map according to the location coordinates.

[0064] In some embodiments, the second determination module 404 is specifically used to: obtain a pre-constructed emergency decision table, wherein the emergency decision table records the mapping relationship between pollution levels and emergency response actions; and query the emergency response action information corresponding to the pollution level according to the emergency decision table.

[0065] In some embodiments, the device 40 further includes an updating module, which is specifically configured to: receive feedback information of the emergency response action; and update the emergency decision table according to the feedback information.

[0066] In some embodiments, the device 40 further includes a storage module, which is specifically used to: determine the data type of the concentration data and the emergency response action information; and store the concentration data and the records of the emergency response actions taken into a corresponding database according to the data type.

[0067] By obtaining the concentration data of radioactive substances leaked from nuclear power plants, and when the concentration data is greater than a set threshold, obtaining the current environmental information, where the environmental information includes ambient temperature information, humidity information, and wind speed information, and using a pre-trained model to calculate the concentration data and environmental information, the contamination level of the radioactive substances is determined, and based on the contamination level, the emergency response action information is determined and reported. When the concentration of radioactive substances exceeds the threshold, the contamination level can be determined based on the concentration and ambient temperature, humidity, wind speed and other information, and then the emergency response action to be taken can be decided. Therefore, the decision-making accuracy of emergency response actions is improved, which is conducive to the rapid resolution of nuclear accident problems.

[0068] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0069] In order to implement the above embodiments, the present application also proposes a computer program product. When the instruction processor in the computer program product is executed, the nuclear power plant emergency decision-making method proposed in the above embodiments of the present application is executed.

[0070] Figure 5 A block diagram of an exemplary computer device suitable for implementing embodiments of the present application is shown. Figure 5 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0071] like Figure 5As shown, the computer device 12 is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0072] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.

[0073] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0074] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive").

[0075] although Figure 5Not shown, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (CD-ROM), a digital versatile disc read only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present application.

[0076] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0077] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. In addition, the computer device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the computer device 12 via a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0078] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the nuclear power plant emergency decision-making method mentioned in the above embodiment.

[0079] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0080] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

[0081] It should be noted that, in the description of this application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" is two or more.

[0082] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0083] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0084] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0085] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0086] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0087] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0088] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A nuclear power plant emergency decision-making method, characterized in that: The method comprises: Obtaining concentration data of radioactive substances leaking from nuclear power plants; When the concentration data is greater than a set threshold, obtaining environmental information at the current time, wherein the environmental information includes environmental temperature information, humidity information, and wind force information; Using a pre-trained model to calculate the concentration data and the environmental information to determine the contamination level of the radioactive substance; and Determine and report the emergency response actions to be taken based on the pollution level; The method further comprises: Determining the cause of the radioactive substance leakage accident according to the change trend of the concentration data and the location coordinates of the radioactive substance leakage area; Furthermore, the emergency response action is determined according to the pollution level, including: Determining the emergency response action information according to the pollution level and the cause of the accident; The emergency response action information determined according to the pollution level includes: Obtaining a pre-built emergency decision table, wherein the emergency decision table records a mapping relationship between pollution levels and emergency response actions; and According to the emergency decision table, the emergency response action information corresponding to the pollution level is queried.

2. The method according to claim 1, characterized in that The method further comprises: Obtaining an electronic map of the geographical location of the nuclear power plant; and The concentration data and the emergency response action information are marked on the electronic map according to the location coordinates.

3. The method according to claim 1, characterized in that After determining the emergency response action information to be taken according to the pollution level, the method further includes: receiving feedback on the emergency response actions; and The emergency decision table is updated according to the feedback information.

4. The method according to claim 1, characterized in that The method further comprises: determining data types of the concentration data and the emergency response action information; and According to the data type, the concentration data and the record of emergency response actions taken are stored in a corresponding database.

5. A nuclear power plant emergency decision-making device, characterized in that: include: The first acquisition module is used to obtain the concentration data of the radioactive substances leaked from the nuclear power plant; A second acquisition module is used to acquire the current environmental information when the concentration data is greater than a set threshold, wherein the environmental information includes environmental temperature information, humidity information, and wind force information; a first determination module, configured to calculate the concentration data and the environmental information using a pre-trained model to determine the contamination level of the radioactive substance; and A second determination module is used to determine and report the emergency response action information to be taken according to the pollution level; The device also includes: A third determination module is used to determine the cause of the accident causing the leakage of radioactive substances according to the change trend of the concentration data and the position coordinates of the radioactive substance leakage area; Furthermore, the second determining module is specifically configured to: Determining the emergency response action information according to the pollution level and the cause of the accident; The emergency response action information determined according to the pollution level includes: Obtaining a pre-built emergency decision table, wherein the emergency decision table records a mapping relationship between pollution levels and emergency response actions; and According to the emergency decision table, the emergency response action information corresponding to the pollution level is queried.

6. The device according to claim 5, characterized in that The device also includes: A third acquisition module is used to acquire an electronic map of the geographical location of the nuclear power plant; and A marking module is used to mark the concentration data and the emergency response action information on the electronic map according to the location coordinates.

7. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-4.

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