Nuclear accident consequence rapid prediction and evaluation method and device, storage medium and electronic equipment

Abstract

The invention relates to a nuclear accident consequence rapid prediction and evaluation method and device, a storage medium and electronic equipment. The method comprises the following steps: obtaining index information; the index information comprises the code information of the unit / unit, the code information of the accident condition, the code information of the wind speed category, the code information of the atmospheric stability classification and the code information of the rainfall classification; determining an index number and a data base of the input condition combination according to the index information; obtaining a corresponding prediction result according to the index number of the input condition combination; the prediction result and the data base are superposed; and outputting a prediction evaluation result according to a superposition result of the prediction result and the data base. According to the invention, when the nuclear power plant accident consequence evaluation system is unavailable, the accident consequence in a period of time in the future can be quickly predicted and evaluated, and protection action suggestions are given.

Description

Technical Field

[0001] The present invention relates to the field of nuclear accident emergency response, and more specifically, to a method, device, storage medium and electronic equipment for rapid prediction and evaluation of nuclear accident consequences. Background Art

[0002] The nuclear safety guideline "Emergency Preparedness and Response of Nuclear Power Plant Operating Units" (HAD002 / 01-2019) requires in "6.8 Evaluation Facilities and Equipment" that "the equipment provided should include instruments and equipment to obtain relevant parameters within an appropriate range, so as to reliably investigate and analyze the evolution of the accident to the extent possible and conduct appropriate radiation protection evaluation. The evaluation system should be able to meet the needs of core damage evaluation and accident consequence evaluation."

[0003] According to the requirements of the above-mentioned guidelines and other documents, nuclear power plants are equipped with accident consequence assessment systems to support the prediction and assessment of consequences in the event of a nuclear accident. As a computer system, the accident consequence assessment system may be unavailable in extreme cases (loss of primary and backup power supplies, system failure, etc.), and there is a lack of redundant technical means to achieve rapid prediction and assessment of accident consequences. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method, device, storage medium and electronic equipment for rapid prediction and evaluation of nuclear accident consequences in view of the problems existing in the prior art.

[0005] The technical solution adopted by the present invention to solve the technical problem is: constructing a method for rapid prediction and evaluation of nuclear accident consequences, comprising the following steps:

[0006] Obtaining index information; the index information includes: code information of the unit / unit, code information of the accident condition, code information of the wind speed category, code information of the atmospheric stability classification, and code information of the rainfall classification;

[0007] Determine the index number and data base of the input condition combination according to the index information;

[0008] Obtaining a corresponding prediction result according to the index number of the input condition combination;

[0009] Overlaying the prediction result with the data base;

[0010] The prediction evaluation result is output according to the superposition result of the prediction result and the data base.

[0011] In the method for rapid prediction and evaluation of nuclear accident consequences of the present invention, the acquisition of index information includes:

[0012] Obtain information about nuclear power plants where nuclear accidents have occurred;

[0013] The index information is obtained by searching in the input index card according to the nuclear power plant information.

[0014] In the method for rapid prediction and evaluation of nuclear accident consequences of the present invention, the step of determining the index number of the input condition combination and the data base according to the index information comprises:

[0015] Determining a code value of the unit / unit according to the code information of the unit / unit;

[0016] Determining a code value of the accident condition according to the code information of the accident condition;

[0017] Determining a code value of the wind speed category according to the code information of the wind speed category;

[0018] Determining a code value of the atmospheric stability classification according to the code information of the atmospheric stability classification;

[0019] Determining a code value of the rainfall classification according to the code information of the rainfall classification;

[0020] An index number of the input condition combination is generated according to the code value of the unit / unit, the code value of the accident condition, the code value of the wind speed category, and the code value of the atmospheric stability classification.

[0021] In the method for rapid prediction and evaluation of nuclear accident consequences of the present invention, the step of determining the index number of the input condition combination and the data base according to the index information further comprises:

[0022] Determining a code value of the unit / unit according to the code information of the unit / unit;

[0023] According to the code value of the machine group / machine group unit, a data base corresponding to the code value of the machine group / machine group unit is determined.

[0024] In the method for rapid prediction and evaluation of nuclear accident consequences described in the present invention, the prediction results include: a dose table, a dose and a protective action diagram.

[0025] In the method for rapid prediction and evaluation of nuclear accident consequences described in the present invention, the dose table includes: the maximum whole-body effective dose and thyroid dose values ​​at different distances downwind from the unit / unit;

[0026] The dose and protection action diagram is a semi-transparent distribution diagram of the whole body effective dose.

[0027] In the method for rapid prediction and evaluation of nuclear accident consequences of the present invention, superimposing the prediction result with the data base comprises:

[0028] superimposing the dose and protective action diagram in the prediction result onto the data base;

[0029] Based on the current wind direction observation, the dose and protective action diagrams are rotated to match the wind direction.

[0030] The present invention also provides a device for rapid prediction and evaluation of nuclear accident consequences, which is applied to the above-mentioned method for rapid prediction and evaluation of nuclear accident consequences, comprising:

[0031] An input index card, the input index card comprising: index information; the index information comprising: code information of a unit / unit, code information of an accident condition, code information of a wind speed category, code information of an atmospheric stability category, and code information of a rainfall category;

[0032] A data base, the data base comprising: a map and a rotation axis;

[0033] A prediction result unit, wherein the prediction result unit is used to:

[0034] Get index information;

[0035] Determine the index number and data base of the input condition combination according to the index information;

[0036] Obtaining a corresponding prediction result according to the index number of the input condition combination;

[0037] Overlaying the prediction result with the data base;

[0038] The prediction evaluation result is output according to the superposition result of the prediction result and the data base.

[0039] The present invention also provides a storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor to execute the steps of the method for rapid prediction and evaluation of nuclear accident consequences as described above.

[0040] The present invention also provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method for rapid prediction and evaluation of nuclear accident consequences as described above by calling the computer program stored in the memory.

[0041] The method, device, storage medium and electronic device for rapid prediction and evaluation of nuclear accident consequences of the present invention have the following beneficial effects: including the following steps: obtaining index information; the index information includes: code information of the unit / unit, code information of the accident condition, code information of the wind speed category, code information of the atmospheric stability classification and code information of the rainfall classification; determining the index number of the input condition combination and the data base according to the index information; obtaining the corresponding prediction result according to the index number of the input condition combination; superimposing the prediction result with the data base; outputting the prediction evaluation result according to the superimposed result of the prediction result and the data base. The present invention can quickly predict and evaluate the accident consequences in the future when the accident consequence evaluation system of the nuclear power plant is unavailable, and give protective action suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0043] Figure 1 It is a schematic diagram of a rapid prediction and evaluation device for nuclear accident consequences provided by the present invention;

[0044] Figure 2 It is a flow chart of the method for rapid prediction and evaluation of nuclear accident consequences provided by the present invention;

[0045] Figure 3 It is a schematic diagram of the specific steps of the method for rapid prediction and evaluation of nuclear accident consequences provided by the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In order to solve the problem that the accident consequence assessment system of a nuclear power plant is unavailable in the event of a nuclear accident, the present invention provides a method and device for rapid prediction and assessment of nuclear accident consequences. The method and device can rapidly predict and evaluate the accident consequences for a period of time in the future and provide protective action recommendations, thereby avoiding the problems caused by the unavailability of the accident consequence assessment system of a nuclear power plant.

[0048] Specifically, Figure 1 As shown, in a preferred embodiment, the nuclear accident consequence rapid prediction and evaluation device includes: an input index card, a data base and a prediction result unit.

[0049] In the embodiment of the present invention, the input index card includes: index information. The index information includes: code information of the unit / unit, code information of the accident condition, code information of the wind speed category, code information of the atmospheric stability classification, and code information of the rainfall classification.

[0050] Specifically, the input index card may consist of an input condition combination and an input condition index.

[0051] In the embodiment of the present invention, the input condition combination is composed of three types of condition combinations: unit, accident condition, and meteorological condition combination.

[0052] Specifically, the unit refers to: all units or unit units of a nuclear power plant, whose input code is U, and the corresponding values ​​are {U1, U2, ...}. For example: Unit 1, Unit 2, Unit 3, Unit 4; or the combined unit units: Unit 1 / 2, Unit 3 / 4.

[0053] Accident conditions refer to: typical accident conditions of nuclear power plants, with an input code of S and corresponding values ​​of {S1, S2, …}. They mainly include design basis accidents and severe accidents. Taking a pressurized water reactor nuclear power plant as an example, design basis accidents include large ruptures in steam system pipelines, mis-opening of a release line or a safety valve of SG (Steam Generator), large ruptures in water supply system pipelines, long-term loss of off-site power supply, main pump rotor jam (shaft jam) or main pump shaft fracture, RCCA (Rod Cluster Control Assembly) ejection accident, boron dilution caused by rupture of heat exchanger heat transfer pipelines, steam generator heat transfer tube rupture accidents, large rupture LOCA (Loss of Coolant Accident), medium rupture LOCA, fuel operation accidents, spent fuel transport container falling accidents, etc. Severe accidents include secondary PSA (Probabilistic Safety Accident Accident) Probabilistic safety assessment, secondary PSA refers to: analyzing the possibility and magnitude of radioactive material released into and out of the reactor containment after core damage, including various possible paths for the accident to progress. It involves the integrity and failure probability of the containment.) Source terms (taking a pressurized water reactor nuclear power plant as an example, including RC101, RC201, RC202, RC301, RC303, RC305, RC401, RC403, RC501, RC502, RC503, RC504, RC505, RC601, RC602, RC701, RC801) and so on. Among them, RC101 release category: containment integrity category; RC201 release category: containment isolation failure category; RC202 release category: containment isolation failure category; RC203 release category: containment early overpressure failure category; RC301 release category: containment early failure category (hydrogen phenomenon); RC303 release category: containment early failure category (steam explosion in the reactor); RC305 release category: containment early failure category (steam explosion in the reactor); RC401 release category: containment early failure category (steam explosion outside the reactor); RC403 release category: containment early failure category (steam explosion outside the reactor); RC501 release category : Containment late failure type (EUF is valid); RC502 release type: containment late failure type (EUF is invalid); RC503 release type: containment late failure type (foundation melting through); RC504 release type: containment late failure type (foundation melting through); RC505 release type: containment late failure type (foundation melting through); RC601 release type: containment bypass type (SGTR without water washing); RC602 release type: containment bypass type (SGTR with water washing); RC701 release type: containment bypass type (interface LOCA); RC801 release type: containment late failure type (foundation melting through).

[0054] Combination of meteorological conditions: It is composed of three elements: wind speed, rainfall and atmospheric stability.

[0055] Wind speed: Wind speed category, input code W, corresponding value is {W1, W2, ...}. Classification is based on the wind speed distribution of the nuclear power plant in the last at least one year, such as 0-2m / s, 2-4m / s, 4-6m / s, 6-8m / s, 8-10m / s, >10m / s, etc.

[0056] Atmospheric stability: Atmospheric stability classification, input code A, corresponding value is {A1, A2, …}. Refer to PG classification (A, B, C, D, E, F) or simplified classification (A / B, C / D, E / F). PG classification refers to Pasquill-Gifford Stability Categories, which are used to describe the stability of the atmosphere, that is, the degree of vertical mixing of the air. Atmospheric stability plays an important role in environmental impact assessment, pollution diffusion, radiation impact and other fields, especially for predicting and simulating the diffusion of pollutants.

[0057] Among them, PG classification refers to the division of atmospheric stability into different categories, usually from A to F, each category reflects different turbulence conditions and atmospheric vertical mixing characteristics. The classification of atmospheric stability is determined by factors such as solar radiation, wind speed, and cloud cover, as follows:

[0058] Class A (extremely unstable): usually occurs on sunny days and under strong sunshine conditions, accompanied by low wind speeds, violent air mixing, and rapid diffusion of pollutants.

[0059] Class B (Unstable): Similar to Class A, but with a slightly weaker degree of mixing, still a strongly unstable condition.

[0060] Class C (weakly unstable): weak sunshine and moderate wind speed conditions occurring during the day, with moderate air mixing.

[0061] Class D (Neutral): Generally occurs on cloudy days or at night when wind speeds are high, air mixing is not obvious, and the conditions are usually neutral.

[0062] Class E (weak stability): often occurs at night when the wind speed is low, the air layer is relatively stable, and the diffusion rate of pollutants is slow.

[0063] Class F (extremely stable): Usually a windless night situation, the air mixing is extremely weak, pollutants hardly diffuse and are prone to accumulation.

[0064] It should be noted that among these classifications, A indicates that the atmosphere is extremely unstable, and F indicates that the atmosphere is extremely stable.

[0065] Rainfall: Rainfall classification, input code R, corresponding value {R1, R2, ...}. It can be divided into 2 categories (no rainfall, rainfall) or 4 categories (no rainfall, light rain, moderate rain, heavy rain).

[0066] In the embodiment of the present invention, the input condition index is determined by the above input condition combination. The basic structure of the index number is: USWAR, for example, U1-S3-W2-A5-R1 is the index number corresponding to the combination of unit code U1, accident condition code S3, wind speed code W2, atmospheric stability code A5, and rainfall code R1.

[0067] In the embodiment of the present invention, the data base includes: a map and a rotation axis. Specifically, the number of data bases is equal to the number of units (or unit units) in the input conditions. Each data base includes: a map and a rotation axis.

[0068] Optionally, in the embodiment of the present invention, the map is centered on the unit / unit and covers the accident consequence prediction and evaluation range. The map layers include at least the administrative divisions, unit distribution, plant location, sensitive points (residential areas, special population distribution, hidden points, centralized evacuation points, etc.), evacuation routes, monitoring routes, traffic routes, important water systems, etc. within the prediction and evaluation range. Optimized, with at least 16 directions (N (North, due north), NNE (North-Northeast, North Northeast), NE (Northeast, Northeast), ENE (East-Northeast, East Northeast), E (East, due east), ESE (East-Southeast, East Southeast), SE (Southeast, Southeast), SSE (South-Southeast, South Southeast), S (South, due south), SSW (South-Southwest, South Southwest), SW (Southwest, Southwest), WSW (West-Southwest, West Southwest), W (West, due west), WNW (West-Northwest, West Northwest), NW (Northwest, North Northwest), NNW (North-Northwest, North Northwest)) clearly marked on the map for use in superimposing the dose of the predicted results and the protective action diagram and then rotating it.

[0069] In an embodiment of the present invention, the prediction result unit is used to: obtain index information; determine the index number and the data base of the input condition combination according to the index information; obtain the corresponding prediction result according to the index number of the input condition combination; superimpose the prediction result with the data base; and output the prediction evaluation result based on the superposition result of the prediction result and the data base.

[0070] refer to Figure 2 , Figure 2The present invention provides a flowchart of a preferred embodiment of a method for rapid prediction and evaluation of nuclear accident consequences. The method for rapid prediction and evaluation of nuclear accident consequences can be applied to a device for rapid prediction and evaluation of nuclear accident consequences disclosed in an embodiment of the present invention.

[0071] Specifically, Figure 2 As shown, the rapid prediction and evaluation method for nuclear accident consequences includes the following steps:

[0072] Step S201: Obtain index information.

[0073] In the embodiment of the present invention, the index information includes: code information of the unit / unit, code information of the accident condition, code information of the wind speed category, code information of the atmospheric stability classification, and code information of the rainfall classification.

[0074] Optionally, in an embodiment of the present invention, obtaining index information includes: obtaining information of a nuclear power plant where a nuclear accident occurs; searching in an input index card according to the nuclear power plant information to obtain index information. Specifically, when a nuclear accident occurs in a nuclear power plant, first obtain the nuclear power plant information, such as unit information and accident condition information of the nuclear power plant, and then search in the input index card to obtain corresponding index information. The input index card is generated in advance and pre-stored in a database. When index information needs to be found, the corresponding index information can be directly called and read from the database.

[0075] Step S202: Determine the index number and data base of the input condition combination according to the index information.

[0076] In an embodiment of the present invention, determining the index number and data base of the input condition combination according to the index information includes: determining the code value of the unit / unit according to the code information of the unit / unit unit; determining the code value of the accident condition according to the code information of the accident condition; determining the code value of the wind speed category according to the code information of the wind speed category; determining the code value of the atmospheric stability category according to the code information of the atmospheric stability category; determining the code value of the rainfall category according to the code information of the rainfall category; generating the index number of the input condition combination according to the code value of the unit / unit unit, the code value of the accident condition, the code value of the wind speed category and the code value of the atmospheric stability category.

[0077] Furthermore, in an embodiment of the present invention, determining the index number of the input condition combination and the data base based on the index information also includes: determining the code value of the unit / unit based on the code information of the unit / unit; and determining the data base corresponding to the code value of the unit / unit based on the code value of the unit / unit.

[0078] Step S203: Obtain the corresponding prediction result according to the index number of the input condition combination.

[0079] In the embodiment of the present invention, the prediction results include: dosage table, dosage and protection action diagram.

[0080] Specifically, each prediction result corresponds to the input index number. The total number of prediction results is as follows:

[0081] Amount result =Amount(U)×Amount(S)×Amount(W)×Amount(A)×Amount(R);

[0082] Of which: Amount result is the total number of prediction results, Amount(U) is the number of units / units in the input conditions, Amount(S) is the number of accident conditions in the input conditions, Amount(W) is the number of wind speed categories in the input conditions, Amount(A) is the number of atmospheric stability categories in the input conditions, and Amount(R) is the number of rainfall categories in the input conditions.

[0083] In an embodiment of the present invention, a prediction result is composed of a dose table and a dose and protective action diagram. Among them, the dose table includes: the maximum whole-body effective dose and thyroid dose values ​​at different distances downwind from the unit / unit. That is, the dose table is the maximum whole-body effective dose and thyroid dose values ​​at different distances downwind from the unit / unit. The dose and protective action diagram is a semi-transparent distribution diagram of the whole-body effective dose. Among them, the dose layer is rendered with contour lines of different dose values, and the protective action layer is rendered with polygons filled with colors corresponding to different protective actions. Preferably, the dose and protective action diagram is the prediction result of a single wind direction, and the wind direction axis needs to be clearly marked for orientation matching after the data base is superimposed.

[0084] Step S204: superimpose the prediction result with the data base.

[0085] In an embodiment of the present invention, superimposing the prediction results with the data base includes: superimposing the dose and protection action diagram in the prediction results onto the data base; and rotating the dose and protection action diagram to match the wind direction based on the current wind direction observation value.

[0086] Step S205: Output the prediction evaluation result according to the superposition result of the prediction result and the data base.

[0087] Specifically, Figure 3 As shown, the specific steps of the method for rapid prediction and evaluation of nuclear accident consequences of the present invention are as follows:

[0088] 1) Obtain the code information of the unit / unit by searching on the input index card. Specifically, confirm the code value U according to the query of the accident unit or unit. u ;

[0089] 2) Obtain the code information of the accident condition by searching on the input index card. Specifically, according to the current accident, search for the same or similar accident condition and determine its code value S s ;

[0090] 3) Obtain the code information of the wind speed category by searching in the input index card. Specifically, according to the current wind speed observation value, query and determine its wind speed category code value W w ;

[0091] 4) By searching in the input index card, obtain the code information of the atmospheric stability classification. Specifically, according to the current atmospheric stability, query and determine its classification code value A a ;

[0092] 5) Obtain the code information of rainfall classification by searching in the input index card. Specifically, according to the current rainfall observation value, query and determine its rainfall classification code R r ;

[0093] 6) Determine the index number of the input condition combination: Generate the index number U of the input condition combination according to the code value of the above input condition u -S s -W w -A a -R r ;

[0094] 7) Obtain the prediction result according to the index number of the input condition combination. Specifically, obtain the prediction result according to the index number. Among them, a prediction result consists of a dose table and a dose and protection action diagram.

[0095] 8) Superimpose the prediction results and the data base: Select the corresponding data base according to the accident unit or unit.

[0096] The dose and protective action diagrams in the prediction results are superimposed on the data base; based on the current wind direction observation value, the dose and protective action diagrams are rotated to match the wind direction.

[0097] 9) Give the final prediction and evaluation conclusion: Based on the rotated dose and protection action diagram superimposed on the data base, give the final prediction and evaluation conclusion. The final prediction and evaluation conclusion includes: the areas and sensitive points involved in various protection actions, the areas and sensitive points corresponding to different dose values, and the maximum whole-body effective dose and thyroid dose values ​​at different downwind distances from the unit / unit.

[0098] The present invention can make a rapid prediction and estimate of the accident consequences in the future when the accident consequence assessment system of the nuclear power plant is unavailable, and give protective action suggestions. It supports the combined input of three categories of conditions: units, accident conditions, and meteorological conditions. It can cover all units or unit units of a nuclear power plant, the main typical accident conditions of a nuclear power plant, and all meteorological conditions, thus providing a supplement and guarantee for the assessment and prediction of nuclear accident consequences.

[0099] In addition, an electronic device of the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement a method for rapid prediction and evaluation of nuclear accident consequences such as any one of the above. Specifically, according to an embodiment of the present invention, the process described with reference to the flowchart above can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed by an electronic device and when executed, it executes the above functions defined in the method of the embodiment of the present invention. The electronic device in the present invention can be a terminal such as a notebook, a desktop, a tablet computer, a smart phone, or a server.

[0100] In addition, a storage medium of the present invention stores a computer program thereon, and when the computer program is executed by a processor, any one of the above methods for rapid prediction and evaluation of nuclear accident consequences is implemented. Specifically, it should be noted that the above storage medium of the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate, or transmit programs 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: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0101] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0102] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0103] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0104] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0105] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot limit the scope of protection of the present invention. All equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for rapid prediction and evaluation of nuclear accident consequences, characterized in that: The following steps are involved: Obtaining index information; the index information includes: code information of the unit / unit, code information of the accident condition, code information of the wind speed category, code information of the atmospheric stability classification, and code information of the rainfall classification; Determine the index number and data base of the input condition combination according to the index information; Obtaining a corresponding prediction result according to the index number of the input condition combination; Overlaying the prediction result with the data base; The prediction evaluation result is output according to the superposition result of the prediction result and the data base.

2. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 1, characterized in that: The obtaining of index information includes: Obtain information about nuclear power plants where nuclear accidents have occurred; The index information is obtained by searching in the input index card according to the nuclear power plant information.

3. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 1, characterized in that: The step of determining the index number and the data base of the input condition combination according to the index information comprises: Determining a code value of the unit / unit according to the code information of the unit / unit; Determining a code value of the accident condition according to the code information of the accident condition; Determining a code value of the wind speed category according to the code information of the wind speed category; Determining a code value of the atmospheric stability classification according to the code information of the atmospheric stability classification; Determining a code value of the rainfall classification according to the code information of the rainfall classification; An index number of the input condition combination is generated according to the code value of the unit / unit, the code value of the accident condition, the code value of the wind speed category, and the code value of the atmospheric stability classification.

4. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 1, characterized in that: The step of determining the index number and the data base of the input condition combination according to the index information further comprises: Determining a code value of the unit / unit according to the code information of the unit / unit; According to the code value of the machine group / machine group unit, a data base corresponding to the code value of the machine group / machine group unit is determined.

5. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 1, characterized in that: The prediction results include: dosage table, dosage and protection action diagram.

6. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 5, characterized in that: The dose table includes: the maximum whole body effective dose and thyroid dose values ​​at different distances downwind from the unit / unit; The dose and protection action diagram is a semi-transparent distribution diagram of the whole body effective dose.

7. The method for rapid prediction and evaluation of nuclear accident consequences according to claim 1, characterized in that: The superimposing the prediction result with the data base comprises: superimposing the dose and protective action diagram in the prediction result onto the data base; Based on the current wind direction observation, the dose and protective action diagrams are rotated to match the wind direction.

8. A rapid prediction and evaluation device for nuclear accident consequences, applied to the rapid prediction and evaluation method for nuclear accident consequences according to any one of claims 1 to 7, characterized in that: include: An input index card, the input index card comprising: index information; the index information comprising: code information of a unit / unit, code information of an accident condition, code information of a wind speed category, code information of an atmospheric stability category, and code information of a rainfall category; A data base, the data base comprising: a map and a rotation axis; A prediction result unit, wherein the prediction result unit is used to: Get index information; Determine the index number and data base of the input condition combination according to the index information; Obtaining a corresponding prediction result according to the index number of the input condition combination; Overlaying the prediction result with the data base; The prediction evaluation result is output according to the superposition result of the prediction result and the data base.

9. A storage medium, characterized in that: The storage medium stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the method for rapid prediction and evaluation of nuclear accident consequences as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method for rapid prediction and evaluation of nuclear accident consequences as claimed in any one of claims 1 to 7 by calling the computer program stored in the memory.

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