Radar- and Satellite-Based Comprehensive Quality Control Method, Device and Equipment for Lightning Data

Abstract

An embodiment of the present disclosure discloses a comprehensive quality control method, device and equipment for lightning data based on radar and satellite. The method includes: obtaining quality control data; the quality control data is satellite data and radar data; preprocessing the quality control data; using the preprocessed quality control data to perform quality control on the lightning monitoring data and attach a quality control code; outputting the data with the attached quality control code. Since the satellite data and radar data are data from different sources for observing lightning activities and lightning monitoring data, using the satellite data and radar data to perform quality control on the lightning monitoring data solves the problem of inaccurate lightning monitoring data. After quality control, the data with the attached quality control code is output, thereby providing more reliable business services for industries vulnerable to lightning strikes, such as the meteorological industry, the power department, the forestry system, aviation, etc.

Description

Technical Field

[0001] The present disclosure relates to the technical field of data processing, and particularly to a comprehensive quality control method, device, and equipment for lightning data based on radar and satellite. Background Art

[0002] Lightning monitoring data refers to ADTD data, which is obtained by networking several ADTD lightning location detection substations and monitoring lightning activities in the covered area. ADTD data is real-time data. When lightning occurs, the data will be stored in the system through the acquisition system, recording parameters such as the time of lightning occurrence, longitude and latitude position, intensity, polarity, and steepness. However, affected by the monitoring method and terrain environment, there are certain errors in reflecting the lightning occurrence situation in the area based on lightning monitoring data. There is no existing solution for quality control of ADTD data in the prior art. Summary of the Invention

[0003] To solve the problems in the related art, embodiments of the present disclosure provide a comprehensive quality control method, device, and equipment for lightning data based on radar and satellite.

[0004] In a first aspect, embodiments of the present disclosure provide a comprehensive quality control method for lightning data based on radar and satellite.

[0005] Specifically, the comprehensive quality control method for lightning data based on radar and satellite includes:

[0006] Obtain quality control data; the quality control data is satellite data and radar data;

[0007] Preprocess the quality control data;

[0008] Use the preprocessed quality control data to perform quality control on the lightning monitoring data and then append a quality control code;

[0009] Output the data appended with the quality control code.

[0010] Optionally, the lightning monitoring data includes: lightning occurrence time, lightning occurrence location;

[0011] The preprocessing of the quality control data includes:

[0012] Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data;

[0013] Select the quality control data that is the closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data;

[0014] Determine the secondary screening data as the preprocessed quality control data.

[0015] Optionally, after quality controlling the lightning monitoring data by using the preprocessed quality control data, adding a quality control code includes:

[0016] Comparing the preprocessed satellite data with the infrared cloud image TBB threshold. If it is less than the infrared cloud image TBB threshold, add a quality control code; if it is greater than the infrared cloud image TBB threshold, continue to compare the preprocessed radar data with the radar threshold and add a quality control code according to the comparison result.

[0017] Optionally, before comparing the preprocessed radar data with the radar threshold, the method further includes:

[0018] Quality controlling the lightning monitoring data by using historical lightning monitoring data; wherein, the historical lightning monitoring data is data within a second preset time range from the lightning occurrence time and within a second preset space range from the lightning occurrence location;

[0019] If the historical lightning monitoring data does not show lightning activity, perform the step of comparing the preprocessed radar data with the radar threshold.

[0020] Optionally, the radar data selects the national radar network data with a time resolution of 6 min / time and a spatial resolution of 0.01°×0.01°; and

[0021] The satellite data selects the FY-4 satellite infrared data with a resolution of 15 min / time and a spatial resolution of 0.05°×0.05°.

[0022] In a second aspect, an integrated quality control device for lightning data based on radar and satellite is provided in an embodiment of the present disclosure.

[0023] Specifically, the integrated quality control device for lightning data based on radar and satellite includes:

[0024] An acquisition module configured to acquire quality control data; the quality control data is satellite data and radar data;

[0025] A preprocessing module configured to preprocess the quality control data;

[0026] A quality control module configured to add a quality control code after quality controlling the lightning monitoring data by using the preprocessed quality control data;

[0027] An output module configured to output the data with the quality control code added.

[0028] In a third aspect, embodiments of the present disclosure provide an electronic device, including a memory and a processor. The memory is configured to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the method according to any one of the first aspect.

[0029] In a fourth aspect, embodiments of the present disclosure provide a readable storage medium, on which computer instructions are stored. When the computer instructions are executed by a processor, the method according to any one of the first aspect is implemented.

[0030] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0031] The method for comprehensively quality controlling lightning data based on radar and satellite provided by the embodiments of the present disclosure includes: obtaining quality control data, where the quality control data is satellite data and radar data; preprocessing the quality control data; using the preprocessed quality control data to quality control the lightning monitoring data and then attaching a quality control code; and outputting the data with the quality control code attached. Since the satellite data and radar data are data from different sources for observing lightning activities and lightning monitoring data, using the satellite data and radar data to quality control the lightning monitoring data solves the problem of inaccurate lightning monitoring data. After quality control, the data with the quality control code attached is output, thereby providing more reliable business services for industries vulnerable to lightning strikes, such as the meteorological industry, the power department, the forestry system, aviation, etc.

[0032] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In combination with the drawings, through the following detailed description of non-limiting embodiments, other features, objects, and advantages of the present disclosure will become more apparent. In the drawings:

[0034] Figure 1 A flowchart showing a method for comprehensively quality controlling lightning data based on radar and satellite according to an embodiment of the present disclosure is shown;

[0035] Figure 2 A structural block diagram showing a device for comprehensively quality controlling lightning data based on radar and satellite according to an embodiment of the present disclosure is shown;

[0036] Figure 3 A structural block diagram showing an electronic device according to an embodiment of the present disclosure is shown;

[0037] Figure 4 A schematic structural diagram showing a computer system suitable for implementing the method for comprehensively quality controlling lightning data based on radar and satellite according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] In the following, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. In addition, for clarity, parts unrelated to the description of the exemplary embodiments are omitted in the drawings.

[0039] In the present disclosure, it should be understood that terms such as "including" or "having" are intended to indicate the presence of features, numbers, steps, actions, components, parts, or combinations thereof disclosed in this specification, and are not intended to exclude the possibility of the presence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0040] It should also be noted that, without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the drawings and in combination with the embodiments.

[0041] The present disclosure is proposed to at least partially solve the problems in the prior art discovered by the inventors.

[0042] Figure 1 The flowchart of a comprehensive quality control method for lightning data based on radar and satellite according to an embodiment of the present disclosure is shown. As Figure 1 shown, the comprehensive quality control method for lightning data based on radar and satellite includes steps S110 - S140.

[0043] In step S110, quality control data is acquired; the quality control data is satellite data and radar data;

[0044] In step S120, the quality control data is pre - processed;

[0045] In step S130, the lightning monitoring data is quality - controlled using the pre - processed quality control data and then a quality control code is appended;

[0046] In step S140, the data appended with the quality control code is output.

[0047] For the comprehensive quality control method for lightning data based on radar and satellite provided by the embodiment of the present disclosure, since satellite data and radar data are data from different sources for observing lightning activities and lightning monitoring data, using satellite data and radar data to quality - control lightning monitoring data solves the problem that lightning monitoring data is not accurate enough. After quality control, the data appended with the quality control code is output, thereby providing more reliable business services for industries vulnerable to lightning strikes, such as the meteorological industry, the power department, the forestry system, aviation, etc.

[0048] According to an embodiment of the present disclosure, the satellite data is data obtained by using an optical transient detector (OTD) on the satellite and a lightning imaging sensor (LIS) on the satellite. For example, the infrared (10.8um) data of Fengyun-4 satellite is selected, with a resolution of 15 minutes per time and a spatial resolution of 0.05°×0.05°. The radar data is selected from the national radar network data, with a time resolution of 6 minutes per time and a spatial resolution of 0.01°×0.01°.

[0049] According to an embodiment of the present disclosure, considering the differences in the lightning location methods, errors, and data transmission of satellites, radars, and ADTD lightning location systems, there will be deviations in lightning location. Therefore, before quality control of lightning detection data, it is necessary to preprocess satellite data and radar data to avoid misjudgment. Specifically, it is "spatial consistency processing" and "time consistency processing".

[0050] Specifically, the lightning monitoring data includes: lightning occurrence time and lightning occurrence location;

[0051] In step S120, preprocessing the quality control data includes:

[0052] Spatial consistency processing: Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data;

[0053] Time consistency processing: Select the quality control data that is closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data;

[0054] Determine the secondary screening data as the preprocessed quality control data.

[0055] In the present disclosure, the spatial consistency processing is based on the principle of "point-block matching", that is, taking the lightning occurrence location as the center of the circle, and selecting the quality control data within a predetermined radius range. For example, the radius range for satellite data is within 3 km, and the radius range for radar data is within 2 km.

[0056] In the present disclosure mode, the time consistency processing is based on the principles of "nearest match" and "longest time interval limit". Due to the inconsistent time resolutions of various observation data and the high timeliness of lightning monitoring data, the radar data, satellite data, and lightning monitoring data are matched with the lightning monitoring data as the reference. Among them, the principles of "nearest match" and "longest time interval limit" mean that when the lightning monitoring data occurs, the satellite data and radar data that are closest to that time but do not exceed the maximum preset time range (for example, 30 min) are selected. Specifically, if lightning activity is detected at 14:30 on June 21, 2019, the radar data and satellite data at 14:30 on June 21, 2019 are preferably selected. If there is no data at this time, the radar data and satellite data at 14:20 or 14:40 on June 21, 2019 can also be selected, but the time cannot be lower than 14:00 and cannot be higher than 15:00.

[0057] According to an embodiment of the present disclosure, in step S130, after quality control of the lightning monitoring data using the preprocessed quality control data, a quality control code is added, including:

[0058] The preprocessed satellite data is compared with the infrared cloud image TBB threshold. If it is less than the infrared cloud image TBB threshold, a quality control code is added; if it is greater than the infrared cloud image TBB threshold, the preprocessed radar data is continuously compared with the radar threshold, and a quality control code is added according to the comparison result.

[0059] In the present disclosure mode, the infrared cloud image TBB threshold can be set to 273K. If it exceeds 273K, it is considered a cloudless or less-cloudy area, and if it is lower than 273K, it is considered a cloudy area. If data with a TBB threshold lower than 273K appears in the preprocessed satellite data, it is considered that the lightning data in the lightning monitoring data to be quality controlled is correct, and a quality control code 1 is added; if data with a TBB threshold lower than 273K does not appear, this lightning data is considered a suspected error data and enters secondary quality control.

[0060] In the present disclosure mode, radar data can be used for secondary quality control. The radar threshold can be set to 20 dBz. If the radar echo intensity exceeds 20 dBz, it is considered a cloudy area, and if it is lower than 20 dBz, it is considered a cloudless or less-cloudy area. If data with a radar echo intensity exceeding 20 dBz appears in the preprocessed radar data, it is considered that the suspected error data is correct, and a quality control code 1 is added; if data with a radar threshold exceeding 20 dBz does not appear, this lightning data is considered a suspected error, and a quality control code 0 is added, indicating a suspicious data.

[0061] According to an embodiment of the present disclosure, before comparing the preprocessed radar data with the radar threshold, the method further includes:

[0062] Quality control is performed on the lightning monitoring data by using historical lightning monitoring data; wherein, the historical lightning monitoring data are data within a second preset time range from the time of lightning occurrence and within a second preset space range from the location of lightning occurrence.

[0063] If the historical lightning monitoring data do not show lightning activity, the step of comparing the preprocessed radar data with the radar threshold is performed.

[0064] In the present disclosure mode, after quality control is performed on the lightning monitoring data by using satellite data, for suspected error data, historical lightning monitoring data can be used for secondary quality control first. For example, if lightning activity occurs within the first 10 minutes and within 5 km of the suspected error data in the historical lightning monitoring data, this lightning data is considered correct and a quality control code 1 is added. If no lightning activity occurs, this lightning data is considered to be secondarily suspected of error and enters the third quality control. The third quality control uses radar data again, that is, if data with a radar echo intensity exceeding 20 dBz appears in the preprocessed radar data, the suspected error data is considered correct and a quality control code 1 is added; if no data with a radar threshold exceeding 20 dBz appears, this lightning data is considered to be suspected of error and a quality control code 0 is added, indicating suspicious data.

[0065] Figure 2 The structural block diagram of a radar- and satellite-based comprehensive quality control device for lightning data according to an embodiment of the present disclosure is shown. Among them, the device can be implemented as part or all of an electronic device through software, hardware, or a combination of both. As Figure 2 shown, the radar- and satellite-based comprehensive quality control device 200 for lightning data includes an acquisition module 210, a preprocessing module 220, a quality control module 230, and an output module 240.

[0066] The acquisition module 210 is configured to acquire quality control data; the quality control data are satellite data and radar data;

[0067] The preprocessing module 220 is configured to preprocess the quality control data;

[0068] The quality control module 230 is configured to perform quality control on the lightning monitoring data by using the preprocessed quality control data and add a quality control code;

[0069] The output module 240 is configured to output the data with the added quality control code.

[0070] The lightning data comprehensive quality control device based on radar and satellite provided by the embodiments of the present disclosure, since satellite data and radar data are data from different sources for observing lightning activities and lightning monitoring data, uses satellite data and radar data to perform quality control on lightning monitoring data, solves the problem of inaccurate lightning monitoring data, and outputs data with the quality control code added after quality control, thereby providing more reliable business services for industries vulnerable to lightning strikes, such as the meteorological industry, the power department, the forestry system, aviation, etc.

[0071] According to an embodiment of the present disclosure, the lightning monitoring data includes: lightning occurrence time, lightning occurrence location;

[0072] The preprocessing module 220 includes:

[0073] The first selection sub-module is configured to select quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data;

[0074] The second selection sub-module is configured to select, from the preliminary screening data, quality control data that is closest to the lightning occurrence time and within the maximum preset time range as the secondary screening data;

[0075] The determination sub-module is configured to determine the secondary screening data as the quality control data after preprocessing.

[0076] According to an embodiment of the present disclosure, the quality control module 230 includes:

[0077] The first quality control sub-module is configured to compare the preprocessed satellite data with the infrared cloud map TBB threshold. If it is less than the infrared cloud map TBB threshold, a quality control code is added; if it is greater than the infrared cloud map TBB threshold, the preprocessed radar data is continued to be compared with the radar threshold, and a quality control code is added according to the comparison result.

[0078] According to an embodiment of the present disclosure, it further includes:

[0079] The second quality control sub-module is configured to perform quality control on the lightning monitoring data by using historical lightning monitoring data; wherein, the historical lightning monitoring data is data within the second preset time range from the lightning occurrence time and within the second preset space range from the lightning occurrence location.

[0080] According to an embodiment of the present disclosure, the radar data selects the national radar network data, with a time resolution of 6 min / time and a spatial resolution of 0.01°×0.01°; and

[0081] The satellite data selects the infrared data of Fengyun-4 satellite, with a resolution of 15 min / time and a spatial resolution of 0.05°×0.05°.

[0082] The present disclosure also discloses an electronic device, Figure 3 showing a structural block diagram of an electronic device according to an embodiment of the present disclosure.

[0083] As Figure 3 shown, the electronic device 300 includes a memory 301 and a processor 302; wherein,

[0084] The memory 301 is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 302 to implement the following method steps:

[0085] Obtain quality control data; the quality control data is satellite data and radar data;

[0086] Preprocess the quality control data;

[0087] Use the preprocessed quality control data to perform quality control on the lightning monitoring data and then append a quality control code;

[0088] Output the data appended with the quality control code.

[0089] According to an embodiment of the present disclosure, the lightning monitoring data includes: lightning occurrence time, lightning occurrence location;

[0090] The preprocessing of the quality control data includes:

[0091] Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data;

[0092] Select the quality control data that is closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data;

[0093] Determine the secondary screening data as the preprocessed quality control data.

[0094] According to an embodiment of the present disclosure, the using the preprocessed quality control data to perform quality control on the lightning monitoring data and then append a quality control code includes:

[0095] Compare the preprocessed satellite data with the infrared cloud image TBB threshold. If it is less than the infrared cloud image TBB threshold, append a quality control code; if it is greater than the infrared cloud image TBB threshold, continue to compare the preprocessed radar data with the radar threshold and append a quality control code according to the comparison result.

[0096] According to an embodiment of the present disclosure, before comparing the preprocessed radar data with the radar threshold, the method further includes:

[0097] Quality control is performed on the lightning monitoring data using historical lightning monitoring data; wherein, the historical lightning monitoring data are data within a second preset time range from the time of lightning occurrence and within a second preset spatial range from the location of lightning occurrence.

[0098] If the historical lightning monitoring data do not show lightning activity, then perform the step of comparing the preprocessed radar data with the radar threshold.

[0099] According to an embodiment of the present disclosure, the radar data are selected from the national radar network data, with a time resolution of 6 min / time and a spatial resolution of 0.01°×0.01°; and

[0100] The satellite data are selected from the infrared data of Fengyun-4 satellite, with a resolution of 15 min / time and a spatial resolution of 0.05°×0.05°.

[0101] Figure 4 The structural schematic diagram of a computer system suitable for implementing the radar- and satellite-based lightning data comprehensive quality control method according to an embodiment of the present disclosure is shown.

[0102] As Figure 4 shown, the computer system 400 includes a processing unit (CPU) 401, which can execute various processes in the above embodiments according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage section 408 into the random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0103] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as required. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as required, so that the computer program read from it can be installed into the storage section 408 as required. Among them, the processing unit 401 can be implemented as a processing unit such as a CPU, a GPU, a TPU, an FPGA, an NPU, etc.

[0104] In particular, according to an embodiment of the present disclosure, the above-described method may be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product that tangibly includes a computer program on a machine-readable medium, the computer program including program code for performing the above method. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 409, and / or installed from the removable medium 411.

[0105] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0106] The units or modules described in the embodiments of the present disclosure may be implemented in software or by programmable hardware. The units or modules described may also be provided in a processor, and the names of these units or modules do not, in some cases, constitute a limitation on the units or modules themselves.

[0107] As another aspect, the present disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the electronic device or computer system in the above embodiments; or it may exist separately and be a computer-readable storage medium not assembled into the device. The computer-readable storage medium stores one or more programs, and the one or more programs are used by one or more processors to execute the methods described in the present disclosure.

[0108] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the inventive concept. For example, the technical solution formed by mutually replacing the above features with the technical features (but not limited to) disclosed in the present disclosure that have similar functions.

Claims

1. A comprehensive quality control method for lightning data based on radar and satellite, characterized in that, it includes: Obtain quality control data; the quality control data is satellite data and radar data; Preprocess the quality control data; Use the preprocessed quality control data to perform quality control on lightning monitoring data and then append a quality control code; the lightning monitoring data refers to ADTD data; Output the data appended with the quality control code; The lightning monitoring data includes: lightning occurrence time, lightning occurrence location; The preprocessing of the quality control data includes: Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data; Select the quality control data that is closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data; Determine the secondary screening data as the preprocessed quality control data; Among them, the use of the preprocessed quality control data to perform quality control on the lightning monitoring data and then append a quality control code includes: Compare the preprocessed satellite data with the infrared cloud map TBB threshold. If it is less than the infrared cloud map TBB threshold, append a quality control code indicating that the data is correct; if it is greater than the infrared cloud map TBB threshold, continue to compare the preprocessed radar data with the radar threshold. If it is greater than the radar threshold, append a quality control code indicating that the data is correct, otherwise append a quality control code indicating that the data is suspicious.

2. The method according to claim 1, characterized in that, Before comparing the preprocessed radar data with the radar threshold, the method further includes: Perform quality control on the lightning monitoring data using historical lightning monitoring data; wherein, the historical lightning monitoring data is data within the second preset time range from the lightning occurrence time and within the second preset space range from the lightning occurrence location; If the historical lightning monitoring data does not show lightning activity, perform the step of comparing the preprocessed radar data with the radar threshold.

3. The method according to any one of claims 1-2, characterized in that, The radar data is selected from the national radar network data, with a time resolution of 6 min / time and a spatial resolution of 0.01°×0.01°; and The satellite data is selected from the infrared data of Fengyun-4 satellite, with a resolution of 15 min / time and a spatial resolution of 0.05°×0.05°.

4. A comprehensive quality control device for lightning data based on radar and satellite, characterized in that, it includes: An acquisition module configured to acquire quality control data; the quality control data is satellite data and radar data; A preprocessing module configured to preprocess the quality control data; A quality control module configured to perform quality control on lightning monitoring data using the preprocessed quality control data and then append a quality control code; the lightning monitoring data refers to ADTD data; An output module configured to output the data appended with the quality control code; The lightning monitoring data includes: lightning occurrence time, lightning occurrence location; The preprocessing of the quality control data includes: Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data; Select the quality control data that is closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data; Determine the secondary screening data as the preprocessed quality control data; Among them, the adding of quality control codes to the lightning monitoring data after quality control using the preprocessed quality control data includes: Compare the preprocessed satellite data with the infrared cloud image TBB threshold. If it is less than the infrared cloud image TBB threshold, add a quality control code indicating that the data is correct; if it is greater than the infrared cloud image TBB threshold, continue to compare the preprocessed radar data with the radar threshold. If it is greater than the radar threshold, add a quality control code indicating that the data is correct, otherwise add a quality control code indicating that the data is suspicious.

5. An electronic device, characterized in that, it includes a memory and a processor; among them, the memory is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the following method steps: Obtain quality control data; the quality control data is satellite data and radar data; Preprocess the quality control data; Add quality control codes to the lightning monitoring data after quality control using the preprocessed quality control data; the lightning monitoring data refers to ADTD data; Output the data with the added quality control codes; The lightning monitoring data includes: lightning occurrence time, lightning occurrence location; The preprocessing of the quality control data includes: Select the quality control data within a predetermined radius range from the lightning occurrence location as the preliminary screening data; Select the quality control data that is closest to the lightning occurrence time and within the maximum preset time range from the preliminary screening data as the secondary screening data; Determine the secondary screening data as the preprocessed quality control data; Among them, the adding of quality control codes to the lightning monitoring data after quality control using the preprocessed quality control data includes: Compare the preprocessed satellite data with the infrared cloud image TBB threshold. If it is less than the infrared cloud image TBB threshold, add a quality control code indicating that the data is correct; if it is greater than the infrared cloud image TBB threshold, continue to compare the preprocessed radar data with the radar threshold. If it is greater than the radar threshold, add a quality control code indicating that the data is correct, otherwise add a quality control code indicating that the data is suspicious.

6. A readable storage medium, on which computer instructions are stored, characterized in that, when the computer instructions are executed by a processor, the method steps described in any one of claims 1-3 are implemented.

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