Nuclear leakage event identifying and positioning method, device, equipment and medium

Abstract

The invention discloses a nuclear leakage event identification and positioning method, device, equipment and medium, and relates to the technical field of identification and localization, the method comprises the following steps: firstly, monitoring an OLR abnormal region caused by a nuclear leakage event by using an OLR abnormal monitoring technology to obtain an OLR abnormal result of a research region; performing anomaly monitoring on the relative humidity data and the relative temperature data respectively, then performing comprehensive judgment on an OLR anomaly region, a relative humidity anomaly region and a relative temperature anomaly region, identifying the event and positioning the occurrence position of the event, and finally, determining the occurrence position of the event. And comprehensively evaluating the influence caused by the event in combination with social data such as annual average population data of the event observation year. According to the method, the nuclear leakage event is identified and positioned by using the remote sensing data, all-weather leakage monitoring can be realized, and the method has remarkable economic and social benefits.

Description

Technical Field

[0001] This invention relates to the field of identification and location technology, and in particular to a method, apparatus, equipment and medium for identifying and locating nuclear leak events. Background Technology

[0002] Nuclear meltdown, also known as nuclear energy leakage, is a serious consequence of a nuclear reactor malfunction. While the nuclear radiation emitted during a meltdown is far less powerful and widespread than that of a nuclear weapon, it can still cause biological casualties. The primary cause of a nuclear meltdown is a malfunction in the reactor's core cooling system, leading to the failure of radiation control equipment.

[0003] The impact of a nuclear leak is catastrophic. The main danger is that radiation can hinder cell metabolism, causing excessive cell growth and potentially leading to cancer. Radioactive fallout can also enter the human body through the food chain, potentially causing acute radiation sickness, leukemia, and cancer.

[0004] In recent years, satellite remote sensing technology has developed rapidly and is playing an increasingly important role in areas such as climate change, disaster monitoring, and resource management. However, current research on nuclear power plant accidents is mainly based on the impact of nuclear power plant leaks on the ocean and atmosphere, and is primarily analyzed using ground observation data and model simulations, with little use of satellite remote sensing data in related analyses.

[0005] Therefore, how to provide a method for identifying nuclear leak accidents based on satellite remote sensing data is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of the above problems, the present invention provides a method, apparatus, device and medium for identifying and locating nuclear leakage events to overcome the above problems or at least partially solve the above problems.

[0007] This invention provides the following solution:

[0008] A method for identifying and locating nuclear leak events, comprising:

[0009] Acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day.

[0010] The raw data of atmospheric longwave radiation emitted on the same day were preprocessed to obtain remote sensing preprocessed product data of the same size, time period, and observation location;

[0011] Based on the remote sensing preprocessing product data, calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation, and calculate the anomaly by subtracting the difference to obtain the distribution map of the abnormal area of ​​atmospheric emitted longwave radiation.

[0012] The atmospheric outgoing longwave radiation anomaly distribution map was processed using the bicubic convolution method to obtain high-resolution results of the atmospheric outgoing longwave radiation anomaly region.

[0013] The annual average relative humidity data and the annual average relative temperature data are used to calculate the meteorological average value of the corresponding month of the target quantity in the year as the background value of atmospheric factors for the day. The anomalies between the daily relative humidity data and the daily relative temperature data and the background value are calculated using the daily atmospheric factor background value as atmospheric factor anomaly values.

[0014] The atmospheric factor anomaly values ​​are used to constrain the results of the atmospheric outgoing longwave radiation anomaly region in order to narrow down the results of the atmospheric outgoing longwave radiation anomaly region and obtain the atmospheric factor constrained anomaly region.

[0015] Using the global land vector boundary data, a mask analysis was performed on the atmospheric factor constraint anomaly region to obtain the nuclear leakage anomaly region;

[0016] The coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the nuclear leakage anomaly area are calculated to obtain the nuclear leakage event location result.

[0017] Preferably, the preprocessing includes at least data filtering, data interpolation, data trimming, and data matching.

[0018] Preferably, the raw data of atmospheric longwave radiation emitted on the same day is obtained by NOAA / AVHRR sensor.

[0019] Preferably, the target number includes 20 years.

[0020] Preferably: Obtain the average annual population data relative to the nuclear leakage anomaly area; combine the average annual population data with a comprehensive assessment of the impact of the event to obtain a comprehensive assessment result.

[0021] A nuclear leak event identification and location device, used to perform the above-described nuclear leak event identification and location method, the device comprising:

[0022] The data acquisition unit is used to acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day.

[0023] The data preprocessing unit is used to preprocess the raw data of atmospheric longwave radiation emitted on the same day to obtain remote sensing preprocessed product data of the same size, the same time period, and the same observation location.

[0024] The vorticity anomaly calculation unit is used to calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation based on the remote sensing preprocessing product data, and calculate the anomaly by subtracting the difference to obtain a distribution map of the abnormal area of ​​atmospheric emitted longwave radiation.

[0025] The resolution enhancement unit is used to process the atmospheric outgoing longwave radiation anomaly distribution map using the bicubic convolution method to obtain high-resolution atmospheric outgoing longwave radiation anomaly region results.

[0026] The atmospheric factor anomaly determination unit is used to calculate the meteorological average value of the corresponding month of the target quantity in the current year using the annual average data of relative humidity and relative temperature as the background value of atmospheric factor for the current day, and to calculate the anomaly value of the relative humidity data and relative temperature data of the current day with the background value of atmospheric factor for the current day as the atmospheric factor anomaly value.

[0027] Anomaly region reduction unit is used to perform constraint analysis on the result of the atmospheric outgoing longwave radiation anomaly region using atmospheric factor anomaly values, so as to reduce the result of the atmospheric outgoing longwave radiation anomaly region to obtain an atmospheric factor constrained anomaly region.

[0028] The nuclear leakage anomaly region determination unit is used to perform mask analysis on the atmospheric factor constraint anomaly region using the global land vector boundary data to obtain the nuclear leakage anomaly region.

[0029] The positioning unit is used to calculate the coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the abnormal nuclear leakage area, and to obtain the positioning result of the nuclear leakage event.

[0030] A nuclear leak event identification and location device, the device comprising a processor and a memory:

[0031] The memory is used to store program code and transmit the program code to the processor;

[0032] The processor is used to execute the above-described nuclear leak event identification and location method according to the instructions in the program code.

[0033] A computer-readable storage medium for storing program code for executing the above-described method for identifying and locating nuclear leak events.

[0034] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0035] This application provides a method, apparatus, equipment, and medium for identifying and locating nuclear leak events. First, it utilizes atmospheric outgoing longwave radiation (OLR) anomaly monitoring technology to monitor the OLR anomaly area caused by the nuclear leak event, obtaining OLR anomaly results for the study area. Next, it monitors anomalies in relative humidity and relative temperature data separately. Then, it comprehensively determines the OLR anomaly area, relative humidity anomaly area, and relative temperature anomaly area to identify the event and locate its location. Finally, it comprehensively assesses the impact of the event by combining social data such as the average annual population of the year the event was observed. This method enables the identification and location of nuclear leak events using remote sensing data, allowing for all-weather leak monitoring and yielding significant economic and social benefits.

[0036] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0038] Figure 1 This is a flowchart of a method for identifying and locating nuclear leakage events provided in an embodiment of the present invention;

[0039] Figure 2 This is a flowchart of a typical nuclear leak event remote sensing monitoring provided in an embodiment of the present invention;

[0040] Figure 3 This is a schematic diagram of a nuclear leak event identification and location device provided in an embodiment of the present invention;

[0041] Figure 4 This is a schematic diagram of a nuclear leak event identification and location device provided in an embodiment of the present invention. Detailed Implementation

[0042] 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 a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the scope of protection of the present invention.

[0043] See Figure 1 This invention provides a method for identifying and locating nuclear leakage events, such as... Figure 1As shown, the method may include:

[0044] S101: Acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day; the raw data of atmospheric emitted longwave radiation on the same day is acquired by NOAA / AVHRR sensor.

[0045] S102: Preprocess the raw atmospheric longwave radiation data of the day to obtain remote sensing preprocessed product data of the same size, time period and observation location; in specific implementation, the embodiments of this application may provide that the preprocessing includes at least data filtering, data interpolation, data cropping and data matching.

[0046] S103: Calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation based on the remote sensing preprocessing product data, and calculate the anomaly by subtracting the difference to obtain the distribution map of the abnormal area of ​​atmospheric emitted longwave radiation.

[0047] S104: The atmospheric outgoing longwave radiation anomaly distribution map is processed using the bicubic convolution method to obtain high-resolution results of the atmospheric outgoing longwave radiation anomaly region.

[0048] S105: Calculate the meteorological average value of the corresponding month of the target quantity in the current year using the annual average relative humidity data and the annual average relative temperature data as the background value of atmospheric factors for the current day. Calculate the anomalies between the current day's relative humidity data and the current day's relative temperature data and the background value using the current day's atmospheric factor background value as atmospheric factor anomaly values. In specific implementation, the target quantity in this application embodiment may include 20 years.

[0049] S106: Use atmospheric factor anomalies to constrain the results of the atmospheric outgoing longwave radiation anomaly region in order to narrow down the results of the atmospheric outgoing longwave radiation anomaly region and obtain the atmospheric factor constrained anomaly region.

[0050] S107: Using the global land vector boundary data, perform mask analysis on the atmospheric factor constraint anomaly region to obtain the nuclear leakage anomaly region;

[0051] S108: Calculate the coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the nuclear leakage anomaly area to obtain the nuclear leakage event location result.

[0052] Furthermore, embodiments of this application may provide the acquisition of the relative annual average population data of the nuclear leakage anomaly area; and a comprehensive assessment result is obtained by combining the annual average population data with the impact of the event.

[0053] The method for identifying and locating nuclear leak events provided in this application first utilizes atmospheric outgoing longwave radiation (OLR) anomaly monitoring technology to monitor the OLR anomaly area caused by the nuclear leak event, obtaining OLR anomaly results for the study area. Next, anomaly monitoring is performed on relative humidity and relative temperature data respectively. Then, a comprehensive judgment is made on the OLR anomaly area, relative humidity anomaly area, and relative temperature anomaly area to identify the event and locate its location. Finally, the impact of the event is comprehensively assessed by combining social data such as the average annual population data of the year the event was observed. This method enables the identification and location of nuclear leak events using remote sensing data, allowing for all-weather leak monitoring and yielding significant economic and social benefits.

[0054] The method for identifying and locating nuclear leak events provided in this application will be described in detail below.

[0055] Atmospheric outgoing longwave radiation (OLR) refers to the thermal radiation emitted by the Earth's atmospheric system from the top of the atmosphere into outer space. Its wavelength is mainly concentrated in the range of 4-120 micrometers. It is an important indicator of the Earth's heat balance, reflecting the thermal balance state between the Earth's surface and the atmosphere. It is widely used in studies on the greenhouse effect of the atmosphere, the influence of clouds on the heat balance, and atmospheric circulation.

[0056] This study found that OLR (Optical Range Reflection) plays a crucial role in monitoring nuclear leak accidents. Therefore, based on OLR time-series product data from NOAA / AVHRR sensors, this research investigated five methods for calculating OLR anomalies: vorticity processing, anomaly method, E-Index method, time moving average method, and vorticity-anomaly method. Comparative studies revealed that the vorticity-anomaly method eliminates the influence of external factors, improves the accuracy of results, and ensures more reliable anomalies. This helps ensure the scientific rigor and reliability of data analysis, providing more credible results for monitoring related events. Therefore, the vorticity-anomaly method was selected to calculate OLR anomalies and construct a remote sensing identification, location, and comprehensive assessment model for typical nuclear leak events.

[0057] Since OLR variations are influenced by multiple factors such as circulation and seasonal changes, this method uses a small amount of atmospheric factor data to constrain OLR anomalies and determine the location of OLR anomalies caused by nuclear accidents. Because the large amount of nuclear material promotes ion hydration, resulting in latent heat release and water molecule aggregation, atmospheric temperature and relative humidity are used as constraints.

[0058] This method for establishing a remote sensing identification, location, and comprehensive assessment model for typical nuclear leak events mainly consists of two stages: data acquisition and preprocessing, and model building. The data processing flow is as follows: Figure 2 As shown.

[0059] Data acquisition and preprocessing.

[0060] a. Data filtering.

[0061] To construct a remote sensing identification, location, and comprehensive assessment model for nuclear leak events, this method utilizes OLR data obtained from NOAA / AVHRR sensors, meteorological data acquired from the ERA5 dataset, and global vector boundary data.

[0062] b. Data preprocessing.

[0063] Due to the large volume of data, wide time span, varying resolutions, and missing data, the preprocessing steps include interpolation, resampling, and data trimming to ensure accuracy and consistency. First, data from different sources are filtered to identify those with the same date and location. Because of the varying resolutions of the data from different sources, CubicSpline interpolation was used after research and testing to obtain resampled products with consistent resolution. Data trimming then yields product data of the same size. Finally, all processed data is matched together, grouping data from the same time period and with different latitude and longitude coordinates to construct the preprocessed product dataset.

[0064] 2. Model Construction.

[0065] First, the daily and annual average vorticity of satellite remote sensing imagery are calculated. After obtaining the OLR anomaly results, a bicubic convolution method is used to transform the original results into a smoother, higher-resolution image. Then, to identify and locate the nuclear leak event and assess its impact, this method uses anomalies in atmospheric temperature and relative humidity as a basis for identification. Areas exhibiting both anomalies are identified as suspected anomaly areas, further narrowing down the anomaly range. By utilizing atmospheric temperature and relative humidity data, the meteorological average values ​​for the corresponding months over the 20 years prior to the event are calculated as background values, and the anomalies are identified based on the daily temperature or relative humidity values ​​compared to the background values. Furthermore, a land mask is added to assist in the identification of anomaly areas, resulting in the final OLR anomaly monitoring results. Finally, using social data such as the annual average population data of the observed years, combined with the identification and location products generated by the model, the area affected by the event is calculated, and the total population within the affected area is tallied. A comprehensive assessment of the event's impact is then obtained.

[0066] Data processing results.

[0067] The input data for the remote sensing identification, location, and comprehensive assessment model for typical nuclear leak events includes raw OLR data, relative humidity data, relative temperature data, annual average OLR data, annual average relative humidity data, annual average relative temperature data, annual average population data, and global land vector boundary data, as shown in Table 1. The output data obtained after model processing are the OLR anomalies, relative humidity anomalies, relative temperature anomalies, and comprehensive assessment results for the day of event monitoring, as shown in Table 2.

[0068] Table 1 Model Data Input Table

[0069]

[0070]

[0071] Table 2 Model Results Output Table

[0072] Serial Number data 1 OLR Abnormal Data 2 Nuclear leak hazard assessment data (area) 3 Nuclear leak hazard assessment data (population)

[0073] The model data processing steps are as follows:

[0074] Step 1: By preprocessing the collected OLR data of the day, we obtain remote sensing preprocessed product data of the same size, time period and observation location. The preprocessing includes data filtering, data interpolation, data cropping and data matching.

[0075] Step 2: Based on the preprocessed OLR data, calculate the daily OLR vorticity and annual average vorticity, and obtain the OLR anomaly distribution map by further subtracting the difference to calculate the anomaly.

[0076] Step 3: After obtaining the OLR anomaly distribution results, the results are further processed using the bicubic convolution method to obtain higher resolution OLR anomaly results.

[0077] Step 4: Using atmospheric temperature and relative humidity, calculate the meteorological average value of the corresponding month in the 20 years before the event as the background value of atmospheric factors for the event, and calculate the anomalies of the daily meteorological temperature and relative humidity with the background value as the atmospheric factor anomalies.

[0078] Step 5: Use atmospheric factor anomalies to constrain the OLR anomaly results and further narrow down the anomaly area.

[0079] Step 6: Using global land vector boundary data, perform mask analysis on the atmospheric factor-constrained anomaly area obtained in Step 5 to obtain the nuclear leakage anomaly area. After atmospheric factor constraint, the range of OLR anomaly is significantly reduced. By calculating the coordinates of the center point of the pixel with the highest OLR anomaly value, the nuclear leakage event location result is obtained.

[0080] Step 7: Analyze the OLR values ​​of abnormal locations identified by the model over many years to assist in verifying the model results.

[0081] Verify the materials.

[0082] This application uses the 1979 Three Mile Island nuclear disaster in the United States, the 1986 Chernobyl nuclear disaster, and the 2011 Fukushima nuclear disaster in Japan to study the model. The model is validated using a remote sensing identification, location, and comprehensive evaluation model for typical nuclear disasters. The model validation results are shown in Table 3. All three cases can be correctly monitored by the model, and the identification time is less than 2 minutes, the location time is less than 2 minutes, and the evaluation time is less than 2 minutes.

[0083] Table 3 Model Validation Comparison Table

[0084]

[0085] See Figure 3 This application embodiment can also provide a nuclear leak event identification and location device, such as... Figure 3 As shown, the apparatus for performing the above-described method for identifying and locating nuclear leak events may include:

[0086] The data acquisition unit 301 is used to acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the collected study area.

[0087] Data preprocessing unit 302 is used to preprocess the raw data of atmospheric longwave radiation emitted on the same day to obtain remote sensing preprocessed product data of the same size, the same time period, and the same observation location;

[0088] The vorticity anomaly calculation unit 303 is used to calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation based on the remote sensing preprocessing product data, and calculate the anomaly by subtracting the difference to obtain a distribution map of the abnormal area of ​​atmospheric emitted longwave radiation.

[0089] The resolution enhancement unit 304 is used to process the atmospheric outgoing longwave radiation anomaly distribution map using the bicubic convolution method to obtain high-resolution atmospheric outgoing longwave radiation anomaly region results.

[0090] The atmospheric factor anomaly determination unit 305 is used to calculate the meteorological average value of the corresponding month of the target quantity in the current year as the atmospheric factor background value using the annual average data of relative humidity and the annual average data of relative temperature. It also uses the atmospheric factor background value to calculate the anomaly values ​​between the daily relative humidity data and the daily relative temperature data and the background value as atmospheric factor anomalies.

[0091] Anomaly region reduction unit 306 is used to perform constraint analysis on the result of the atmospheric outgoing longwave radiation anomaly region using atmospheric factor anomaly values, so as to reduce the result of the atmospheric outgoing longwave radiation anomaly region to obtain an atmospheric factor constrained anomaly region.

[0092] The nuclear leakage anomaly area determination unit 307 is used to perform mask analysis on the atmospheric factor constraint anomaly area using the global land vector boundary data to obtain the nuclear leakage anomaly area.

[0093] The positioning unit 308 is used to calculate the coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the abnormal nuclear leakage area, and to obtain the nuclear leakage event positioning result.

[0094] This application embodiment can also provide a nuclear leak event identification and location device, the device including a processor and a memory:

[0095] The memory is used to store program code and transmit the program code to the processor;

[0096] The processor is used to execute the steps of the above-described nuclear leak event identification and location method according to the instructions in the program code.

[0097] like Figure 4 As shown in the figure, a nuclear leak event identification and location device provided in this application embodiment may include: a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 all communicate with each other through the communication bus 13.

[0098] In this embodiment, the processor 10 may be a central processing unit (CPU), a graphics processing unit (GPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0099] The processor 10 can call programs stored in the memory 11. Specifically, the processor 10 can execute operations in the embodiments of the nuclear leak event identification and location method.

[0100] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions:

[0101] Acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day.

[0102] The raw data of atmospheric longwave radiation emitted on the same day were preprocessed to obtain remote sensing preprocessed product data of the same size, time period, and observation location;

[0103] Based on the remote sensing preprocessing product data, calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation, and calculate the anomaly by subtracting the difference to obtain the distribution map of the abnormal area of ​​atmospheric emitted longwave radiation.

[0104] The atmospheric outgoing longwave radiation anomaly distribution map was processed using the bicubic convolution method to obtain high-resolution results of the atmospheric outgoing longwave radiation anomaly region.

[0105] The annual average relative humidity data and the annual average relative temperature data are used to calculate the meteorological average value of the corresponding month of the target quantity in the year as the background value of atmospheric factors for the day. The anomalies between the daily relative humidity data and the daily relative temperature data and the background value are calculated using the daily atmospheric factor background value as atmospheric factor anomaly values.

[0106] The atmospheric factor anomaly values ​​are used to constrain the results of the atmospheric outgoing longwave radiation anomaly region in order to narrow down the results of the atmospheric outgoing longwave radiation anomaly region and obtain the atmospheric factor constrained anomaly region.

[0107] Using the global land vector boundary data, a mask analysis was performed on the atmospheric factor constraint anomaly region to obtain the nuclear leakage anomaly region;

[0108] The coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the nuclear leakage anomaly area are calculated to obtain the nuclear leakage event location result.

[0109] In one possible implementation, the memory 11 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function (such as file creation or data read / write). The data storage area may store data created during use, such as initialization data.

[0110] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0111] Communication interface 12 can be an interface for a communication model, used to connect with other devices or systems.

[0112] Of course, it should be noted that, Figure 4 The structure shown does not constitute a limitation on the nuclear leak event identification and location device in the embodiments of this application. In practical applications, the nuclear leak event identification and location device may include more than Figure 4 More or fewer components as shown, or combinations of certain components.

[0113] This application embodiment may also provide a computer-readable storage medium for storing program code for executing the steps of the above-described nuclear leak event identification and location method.

[0114] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0115] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, 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 storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0116] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0117] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A method for identifying and locating nuclear leak events, characterized in that, include: Acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day. The raw data of atmospheric longwave radiation emitted on the same day were preprocessed to obtain remote sensing preprocessed product data of the same size, time period, and observation location; Based on the remote sensing preprocessing product data, calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation, and calculate the anomaly by subtracting the difference to obtain the distribution map of the abnormal area of ​​atmospheric emitted longwave radiation. The atmospheric outgoing longwave radiation anomaly distribution map was processed using the bicubic convolution method to obtain high-resolution results of the atmospheric outgoing longwave radiation anomaly region. The annual average relative humidity data and the annual average relative temperature data are used to calculate the meteorological average value of the corresponding month of the target quantity in the year as the background value of atmospheric factors for the day. The anomalies between the daily relative humidity data and the daily relative temperature data and the background value are calculated using the daily atmospheric factor background value as atmospheric factor anomaly values. The atmospheric factor anomaly values ​​are used to constrain the results of the atmospheric outgoing longwave radiation anomaly region in order to narrow down the results of the atmospheric outgoing longwave radiation anomaly region and obtain the atmospheric factor constrained anomaly region. Using the global land vector boundary data, a mask analysis was performed on the atmospheric factor constraint anomaly region to obtain the nuclear leakage anomaly region; The coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the nuclear leakage anomaly area are calculated to obtain the nuclear leakage event location result.

2. The method for identifying and locating nuclear leak events according to claim 1, characterized in that, The preprocessing includes at least data filtering, data interpolation, data trimming, and data matching.

3. The method for identifying and locating nuclear leak events according to claim 1, characterized in that, The raw data of atmospheric outgoing longwave radiation on that day were acquired using NOAA / AVHRR sensors.

4. The method for identifying and locating nuclear leak events according to claim 1, characterized in that, The target number includes 20 years.

5. The method for identifying and locating nuclear leak events according to claim 1, characterized in that, Obtain the average annual population data relative to the nuclear leakage anomaly area; combine the average annual population data with the impact of the event to obtain a comprehensive assessment result.

6. A nuclear leak event identification and location device, characterized in that, The apparatus for performing the nuclear leak event identification and location method according to any one of claims 1-5, the apparatus comprising: The data acquisition unit is used to acquire the raw data of atmospheric emitted longwave radiation, relative humidity, relative temperature, annual average data of atmospheric emitted longwave radiation, annual average data of relative humidity, annual average data of relative temperature, and global land vector boundary data corresponding to the study area on the same day. The data preprocessing unit is used to preprocess the raw data of atmospheric longwave radiation emitted on the same day to obtain remote sensing preprocessed product data of the same size, the same time period, and the same observation location. The vorticity anomaly calculation unit is used to calculate the daily vorticity and annual average vorticity of atmospheric emitted longwave radiation based on the remote sensing preprocessing product data, and calculate the anomaly by subtracting the difference to obtain a distribution map of the abnormal area of ​​atmospheric emitted longwave radiation. The resolution enhancement unit is used to process the atmospheric outgoing longwave radiation anomaly distribution map using the bicubic convolution method to obtain high-resolution atmospheric outgoing longwave radiation anomaly region results. The atmospheric factor anomaly determination unit is used to calculate the meteorological average value of the corresponding month of the target quantity in the current year using the annual average data of relative humidity and relative temperature as the background value of atmospheric factor for the current day, and to calculate the anomaly value of the relative humidity data and relative temperature data of the current day with the background value of atmospheric factor for the current day as the atmospheric factor anomaly value. Anomaly region reduction unit is used to perform constraint analysis on the result of the atmospheric outgoing longwave radiation anomaly region using atmospheric factor anomaly values, so as to reduce the result of the atmospheric outgoing longwave radiation anomaly region to obtain an atmospheric factor constrained anomaly region. The nuclear leakage anomaly region determination unit is used to perform mask analysis on the atmospheric factor constraint anomaly region using the global land vector boundary data to obtain the nuclear leakage anomaly region. The positioning unit is used to calculate the coordinates of the center point of the pixel with the highest abnormal value of atmospheric long-wave radiation in the abnormal nuclear leakage area, and to obtain the positioning result of the nuclear leakage event.

7. A nuclear leak event identification and location device, characterized in that, The device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the nuclear leak event identification and location method according to any one of claims 1-5 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code for executing the nuclear leak event identification and location method according to any one of claims 1-5.

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