Lightning monitoring data quality control method and device

Abstract

The invention provides a lightning monitoring data quality control method and device, and the method comprises the steps: carrying out the time and space matching of historical lightning monitoring data and radar echo data of a region, obtaining the radar echo data corresponding to each piece of lightning monitoring data, and carrying out the statistics of the lightning echo intensity distribution characteristics; extracting lightning current amplitude distribution characteristics and lightning space distribution characteristics from the lightning monitoring data; performing logarithmic normal distribution fitting on the lightning monitoring data, and determining a threshold value for performing quality control on the lightning monitoring data according to a fitting curve; and under the condition of determining to carry out quality control on the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning space distribution characteristics, carrying out quality control on the real-time lightning monitoring data according to a determined threshold value, and outputting the real-time lightning monitoring data with an additional quality control code. According to the invention, accurate quality control of lightning monitoring data is realized, and the detection efficiency of lightning monitoring is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of lightning monitoring technology, and in particular to a method and apparatus for quality control of lightning monitoring data. Background Technology

[0002] Lightning monitoring data refers to ground lightning data from the DDW1 three-dimensional lightning location network currently in operation by meteorological departments. This data is obtained by monitoring lightning activity within the coverage area through a network of multiple DDW1 lightning location and detection substations. The DDW1 three-dimensional lightning location network ground lightning data is real-time data. When lightning activity occurs, it is collected by the detection system and transmitted to the central station for location, recording parameters such as the time, latitude and longitude, intensity, polarity, and type of the lightning strike.

[0003] However, due to factors such as terrain, detection methods, and signal interference, lightning monitoring data contains errors compared to actual lightning activity, leading to missed detections and false flashes. This severely impacts lightning warning dissemination and professional lightning protection services. Therefore, real-time quality control of the DDW1 3D lightning location network's ground flash data is necessary. Current technologies lack solutions for real-time quality control of DDW1 3D lightning location network ground flash data; most research and quality control focuses on ADTD 2D lightning location network data, which is insufficient to meet operational requirements. Summary of the Invention

[0004] To address the problems existing in the prior art, the present invention provides a method and apparatus for quality control of lightning monitoring data.

[0005] This invention provides a method for quality control of lightning monitoring data, comprising:

[0006] Historical lightning monitoring data and radar echo data of the region are matched in time and space to obtain radar echo data corresponding to each lightning monitoring data. Based on the radar echo data corresponding to each lightning monitoring data, the distribution characteristics of lightning echo intensity with different polarities and different positioning characteristics are statistically analyzed.

[0007] Extract lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of different polarities and different location characteristics from the lightning monitoring data;

[0008] Log-normal distribution fitting is performed on lightning monitoring data with different polarities and different location characteristics, and the threshold for quality control of the lightning monitoring data is determined based on the fitting curve.

[0009] When quality control of the lightning monitoring data is determined based on the distribution characteristics of lightning echo intensity, lightning current amplitude, and lightning spatial distribution characteristics with different polarities and location characteristics, the quality control of the lightning monitoring data is performed according to the threshold.

[0010] Extract the spatial distribution characteristics of the lightning monitoring data after quality control, determine the quality control threshold of the lightning monitoring data belonging to a specific combination of monitoring stations in a specific region, and perform quality control again;

[0011] The real-time lightning monitoring data of the business operation is subjected to quality control according to the determined threshold, and a quality control code is attached. The real-time lightning monitoring data with the attached quality control code is then output.

[0012] According to the present invention, a method for quality control of lightning monitoring data is provided, which statistically analyzes the distribution characteristics of lightning echo intensity of different polarities and different location characteristics based on the radar echo data corresponding to each lightning monitoring data, including:

[0013] The frequency of lightning monitoring data with different polarities and different location characteristics in each echo intensity interval is statistically analyzed and used as the lightning echo intensity distribution characteristics.

[0014] If the lightning echo intensity distribution characteristics in the echo intensity range where the echo intensity is less than the first preset threshold are greater than the second preset threshold, then the lightning monitoring data is subject to quality control.

[0015] According to a lightning monitoring data quality control method provided by the present invention, the lightning current amplitude distribution characteristics with different polarities and different location characteristics are extracted from the lightning monitoring data, including:

[0016] The percentage of lightning monitoring data with different polarities and different location characteristics in each lightning current amplitude range is counted to obtain the probability density of lightning current amplitude.

[0017] The distribution curve of the probability density of the lightning current amplitude is plotted as the distribution feature of the lightning current amplitude;

[0018] If the probability density of lightning current amplitude in the lightning current amplitude range where the lightning current amplitude is less than the third preset threshold is greater than the fourth preset threshold, then the lightning monitoring data is subject to quality control.

[0019] According to the present invention, a method for quality control of lightning monitoring data extracts spatial distribution features of lightning with different polarities and different location characteristics from the lightning monitoring data, including:

[0020] The region is divided into grids, and the frequency of lightning monitoring data with different polarities and different location characteristics in each grid is counted.

[0021] A spatial distribution map of the frequency of the lightning monitoring data is plotted as the spatial distribution characteristics of lightning.

[0022] When the spatial distribution characteristics of lightning exhibit a specific shape of clustered distribution, quality control is required for the lightning monitoring data.

[0023] According to the present invention, a quality control method for lightning monitoring data includes fitting a log-normal distribution to lightning monitoring data with different polarities and location characteristics, and determining a threshold for quality control of the lightning monitoring data based on the fitted curve, comprising:

[0024] Log-normal distribution fitting is performed on lightning monitoring data of different polarities. If the fitted curve conforms to the characteristics of a normal distribution curve, the fitting deviation rate of the fitted curve is calculated.

[0025] Obtain the lightning current amplitude range to which the lightning monitoring data with a fitting deviation rate greater than the fifth preset threshold belongs, and the distribution curves of lightning monitoring data with different location characteristics in the lightning current amplitude range with a lightning current amplitude less than the sixth preset threshold.

[0026] Based on the distribution curve, a threshold for quality control of the lightning monitoring data is determined.

[0027] According to the present invention, a method for quality control of lightning monitoring data includes extracting the spatial distribution characteristics of the quality-controlled lightning monitoring data, determining the quality control threshold of the lightning monitoring data belonging to a specific combination of monitoring stations in a specific region, and performing quality control again, including:

[0028] The spatial distribution characteristics of lightning with different polarities and different location features were extracted again from the quality-controlled lightning monitoring data;

[0029] If the spatiotemporal distribution features of lightning extracted again still show a clustered distribution phenomenon with a specific shape, determine the latitude and longitude range where the clustered distribution phenomenon exists;

[0030] Based on the lightning monitoring data of the station combination within the latitude and longitude range, the threshold is determined again;

[0031] The lightning monitoring data for a specific range and a specific combination of monitoring stations are re-quality controlled based on the re-determined threshold.

[0032] Check whether the lightning monitoring data after quality control is correct.

[0033] According to the present invention, a method for quality control of lightning monitoring data is provided, which performs quality control on real-time lightning monitoring data during operation according to a determined threshold and adds a quality control code, and outputs real-time lightning monitoring data with the added quality control code, including:

[0034] Based on the preliminary quality control threshold and the secondary quality control threshold, the real-time lightning monitoring data of the business operation is subject to quality control.

[0035] The quality control code indicating whether the data is correct or questionable will be appended to the real-time lightning monitoring data after quality control.

[0036] Output real-time lightning monitoring data with additional quality control codes.

[0037] The present invention also provides a lightning monitoring data quality control device, comprising:

[0038] The first extraction module is used to match the lightning monitoring data and radar echo data of the region in time and space, obtain the radar echo data corresponding to each lightning monitoring data, and statistically analyze the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics based on the radar echo data corresponding to each lightning monitoring data.

[0039] The second extraction module is used to extract lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of different polarities and different location characteristics from the lightning monitoring data.

[0040] The first determining module is used to perform log-normal distribution fitting on lightning monitoring data with different polarities and different positioning characteristics, and determine the threshold for quality control of the lightning monitoring data based on the fitting curve.

[0041] The quality control module is used to perform quality control on the lightning monitoring data based on the threshold value, when the lightning echo intensity distribution characteristics, lightning current amplitude distribution characteristics, and lightning spatial distribution characteristics of different polarities and positioning characteristics are determined to be subject to quality control.

[0042] The second determining module is used to extract the spatial distribution characteristics of lightning with different polarities and different positioning features from the lightning monitoring data after preliminary quality control, and to determine the quality control threshold of the lightning monitoring data of a specific combination of stations within the latitude and longitude range where the clustered distribution phenomenon still exists, in the case where a specific shape of clustered distribution phenomenon still exists.

[0043] The output module is used to perform quality control on the real-time lightning monitoring data of the business operation according to the preliminary quality control threshold and the secondary quality control threshold, and output the real-time lightning monitoring data with the attached quality control code.

[0044] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the lightning monitoring data quality control method as described above.

[0045] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the lightning monitoring data quality control method as described above.

[0046] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the lightning monitoring data quality control method as described above.

[0047] The lightning monitoring data quality control method and device provided by this invention determine whether quality control of lightning monitoring data is necessary by considering multiple aspects such as radar echo intensity, lightning current amplitude distribution, and lightning spatial distribution. Furthermore, by fitting the lightning monitoring data to a log-normal distribution, a threshold for quality control is determined, enabling precise quality control of real-time lightning monitoring data and providing more reliable data services for lightning warning issuance and professional lightning defense services. By establishing a fusion quality control technology for relevant elements of lightning monitoring data, the detection efficiency of lightning monitoring is effectively improved while ensuring rapid data processing, providing reliable data support for early warning issuance during thunderstorms and lightning defense for industries such as petrochemicals and power. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating the lightning monitoring data quality control method provided by the present invention;

[0050] Figure 2 This is a schematic diagram of the lightning monitoring data quality control device provided by the present invention;

[0051] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0053] The following is combined with Figure 1 A method for quality control of lightning monitoring data according to the present invention includes:

[0054] Step 101: Match the historical lightning monitoring data and radar echo data of the region in time and space to obtain the radar echo data corresponding to each lightning monitoring data. Based on the radar echo data corresponding to each lightning monitoring data, statistically analyze the distribution characteristics of lightning echo intensity with different polarities and different positioning characteristics.

[0055] Acquire lightning monitoring data for at least one complete calendar year detected by the regional lightning location network and radar echo data for the area.

[0056] The radar echo data is preprocessed into gridded data. Based on the spatial range and spatiotemporal resolution of the gridded data, the lightning monitoring data is matched temporally and spatially to obtain the radar echo value at the time of lightning occurrence for each radar echo data. The lightning distribution characteristics in different echo intensity ranges are statistically analyzed.

[0057] The temporal and spatial matching of lightning monitoring data includes: screening lightning monitoring data within the radar detection range; performing temporal matching on the screened lightning monitoring data based on the temporal resolution and time period of the radar echo data, matching the radar echo data corresponding to each lightning monitoring data; and performing spatial matching on the lightning monitoring data that has already undergone temporal matching based on the latitude and longitude of the lightning monitoring data and the spatial resolution of the radar echo grid data, obtaining the radar echo intensity value at the corresponding spatial grid point.

[0058] Step 102: Extract the lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of different polarities and different location characteristics from the lightning monitoring data;

[0059] The DDW1 three-dimensional lightning location network's ground lightning data all contain two types of information: the location method and the combination of monitoring stations involved in the location. The DDW1 three-dimensional lightning location network's ground lightning data can be divided into three types of lightning monitoring data with location characteristics: 3-station location, 4-station location, and 5-station and above location.

[0060] Extract the distribution of lightning current amplitude within the region and the spatial distribution characteristics of lightning detected by different stations and positioning methods.

[0061] Step 103: Perform log-normal distribution fitting on lightning monitoring data with different polarities and different location characteristics, and determine the threshold for quality control of the lightning monitoring data based on the fitting curve.

[0062] For the lightning monitoring data, a log-normal distribution is fitted to determine the current quality control threshold for lightning monitoring data with different location characteristics.

[0063] Step 104: Based on the distribution characteristics of lightning echo intensity, lightning current amplitude, and lightning spatial distribution of different polarities and positioning characteristics, and in order to determine the quality control of the lightning monitoring data, the lightning monitoring data is quality controlled according to the threshold.

[0064] Step 105: Extract the spatial distribution characteristics of the lightning monitoring data after quality control, determine the quality control threshold of the lightning monitoring data belonging to a specific combination of monitoring stations in a specific region, and perform quality control again;

[0065] Based on the lightning monitoring data after quality control, the spatial distribution characteristics of lightning with different polarities and different location features are extracted again.

[0066] Determine whether the extracted lightning spatial distribution features exhibit a specific shape of clustered distribution, and determine the latitude and longitude range where such clustered distribution exists.

[0067] The threshold is determined again based on the lightning monitoring data of the combination of stations within the latitude and longitude range.

[0068] The lightning monitoring data for a specific range and specific station combination are re-quality controlled based on the re-determined threshold.

[0069] Check whether the lightning monitoring data after quality control is correct.

[0070] Step 106: Perform quality control on the real-time lightning monitoring data of the business operation according to the determined threshold and attach quality control codes, and output the real-time lightning monitoring data with attached quality control codes.

[0071] Based on the preliminary quality control threshold and the secondary quality control threshold, the real-time lightning monitoring data of the business operation is subject to quality control.

[0072] The quality control code indicating whether the data is correct or questionable will be appended to the real-time lightning monitoring data after quality control.

[0073] Output real-time lightning monitoring data with additional quality control codes.

[0074] This embodiment determines whether quality control of lightning monitoring data is necessary by considering multiple aspects, including radar echo intensity, lightning current amplitude distribution, and lightning spatial distribution. It also determines the threshold for quality control of lightning monitoring data by fitting the data to a log-normal distribution, enabling precise quality control and providing more reliable data services for lightning warning issuance and professional lightning defense services. Furthermore, by establishing a fusion quality control technology for relevant elements of lightning monitoring data, it effectively improves the detection efficiency of lightning monitoring while ensuring rapid data processing, providing reliable data support for early warning issuance during thunderstorms and lightning defense for industries such as petrochemicals and power.

[0075] Based on the above embodiments, this embodiment statistically analyzes the distribution characteristics of lightning echo intensity with different polarities and location characteristics according to the radar echo data corresponding to each lightning monitoring data, including:

[0076] The frequency of lightning monitoring data with different polarities and different location characteristics in each echo intensity interval is statistically analyzed and used as the lightning echo intensity distribution characteristics.

[0077] If the lightning echo intensity distribution characteristics in the echo intensity range where the echo intensity is less than the first preset threshold are greater than the second preset threshold, then the lightning monitoring data is subject to quality control.

[0078] The echo intensity can be divided into 15 intervals with intervals of 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, and 70 dBZ.

[0079] The frequency of lightning monitoring data with different polarities and location characteristics is statistically analyzed within each echo intensity range. If the frequency of lightning monitoring data is relatively high in the low-intensity echo range, then the lightning monitoring data that meets the location characteristics needs to be subject to quality control.

[0080] Based on the above embodiments, this embodiment extracts the distribution characteristics of lightning current amplitude with different polarities and different location characteristics from the lightning monitoring data, including:

[0081] The percentage of lightning monitoring data with different polarities and different location characteristics in each lightning current amplitude range is counted to obtain the probability density of lightning current amplitude.

[0082] The distribution curve of the probability density of the lightning current amplitude is plotted as the distribution feature of the lightning current amplitude;

[0083] If the probability density of lightning current amplitude in the lightning current amplitude range where the lightning current amplitude is less than the third preset threshold is greater than the fourth preset threshold, then the lightning monitoring data is subject to quality control.

[0084] Divide the lightning current amplitude intensity range, calculate the percentage of lightning monitoring data frequency in the lightning current amplitude intensity range with different polarities and different location characteristics to the total number, which is the lightning current amplitude probability density. Plot the lightning current amplitude probability density distribution curve, and compare and analyze the changes in the proportion of lightning monitoring data with different polarities and different location characteristics in the small amplitude current region. If the proportion in the small amplitude current region is high, it is determined that quality control is required.

[0085] Based on the above embodiments, this embodiment extracts the spatial distribution characteristics of lightning with different polarities and different location features from the lightning monitoring data, including:

[0086] The region is divided into grids, and the frequency of lightning monitoring data with different polarities and different location characteristics in each grid is counted.

[0087] A spatial distribution map of the frequency of the lightning monitoring data is plotted as the spatial distribution characteristics of lightning.

[0088] When the spatial distribution characteristics of lightning exhibit a specific shape of clustered distribution, quality control is required for the lightning monitoring data.

[0089] The area was divided into 1 km × 1 km grids. The frequency of lightning monitoring data with different location characteristics and polarities was counted in each grid, and a spatial distribution map of the frequency was drawn. The lightning monitoring data with different polarities and location characteristics were compared and analyzed to see if there was a specific shape clustering distribution in space (such as arcs, radial lines starting from the location station, etc.). If so, quality control of the lightning monitoring data was determined, and the combination of monitoring stations involved in the location of lightning monitoring data clustering distribution in different areas was obtained.

[0090] Based on the above embodiments, this embodiment performs log-normal distribution fitting on lightning monitoring data with different polarities and different location characteristics, and determines the threshold for quality control of the lightning monitoring data based on the fitting curve, including:

[0091] Log-normal distribution fitting is performed on lightning monitoring data of different polarities. If the fitted curve conforms to the characteristics of a normal distribution curve, the fitting deviation rate of the fitted curve is calculated.

[0092] Obtain the lightning current amplitude range to which the lightning monitoring data with a fitting deviation rate greater than the fifth preset threshold belongs, and the distribution curves of lightning monitoring data with different location characteristics in the lightning current amplitude range with a lightning current amplitude less than the sixth preset threshold.

[0093] Based on the distribution curve, a threshold for quality control of the lightning monitoring data is determined.

[0094] The amplitude distribution characteristics of natural cloud-to-ground lightning current conform to a log-normal distribution. Log-normal distributions were fitted to lightning monitoring data of different polarities, and distribution curves of lightning monitoring data with different location characteristics were plotted.

[0095] Observe whether the fitted curve conforms to the characteristics of a normal distribution curve, which is bell-shaped, low at both ends, high in the middle, and approximately symmetrical from left to right. At the same time, calculate the fitting deviation rate, determine the small-amplitude current range where the actual value deviates significantly from the fitted value based on the fitting deviation rate, and analyze the distribution of different location feature samples in this range to determine the small current threshold of lightning monitoring data that needs to be quality controlled.

[0096] The formula for calculating the fitting deviation rate δ is:

[0097]

[0098] In the formula, P i For sample statistics, P S These are the fitted values.

[0099] Based on the above embodiments, this embodiment extracts the spatial distribution characteristics of the lightning monitoring data after quality control, determines the quality control threshold of the lightning monitoring data belonging to a specific combination of monitoring stations in a specific region, and performs quality control again, including:

[0100] The spatial distribution characteristics of lightning with different polarities and different location features were extracted again from the quality-controlled lightning monitoring data;

[0101] If the extracted lightning spatial distribution features still exhibit a specific shape of clustered distribution, determine the latitude and longitude range where the clustered distribution exists.

[0102] Based on the lightning monitoring data of the station combination within the latitude and longitude range, the threshold is determined again;

[0103] The lightning monitoring data for a specific range and a specific combination of monitoring stations are re-quality controlled based on the re-determined threshold.

[0104] Check whether the lightning monitoring data after quality control is correct.

[0105] The analysis of whether the spatial distribution of lightning monitoring data extracted again after threshold quality control is reasonable includes:

[0106] After preliminary quality control, draw frequency spatial distribution maps of lightning monitoring data with different location characteristics and polarities to determine whether the phenomenon of specific shape clustering has disappeared. If it still exists, determine the latitude and longitude range of the phenomenon, analyze the station combinations and lightning current amplitude distribution thresholds of lightning monitoring data within this range, and conduct quality control again.

[0107] Based on the above embodiments, this embodiment performs quality control on the real-time lightning monitoring data of the service operation according to a determined threshold and adds a quality control code, outputting the real-time lightning monitoring data with the added quality control code, including:

[0108] Based on the preliminary quality control threshold and the secondary quality control threshold, the real-time lightning monitoring data of the business operation is subject to quality control.

[0109] The quality control code indicating whether the data is correct or questionable will be appended to the real-time lightning monitoring data after quality control.

[0110] Output real-time lightning monitoring data with additional quality control codes;

[0111] The quality control code is used to indicate whether the lightning monitoring data is correct (quality control code is 0) or questionable (quality control code is 1).

[0112] The lightning monitoring data quality control device provided by the present invention is described below. The lightning monitoring data quality control device described below and the lightning monitoring data quality control method described above can be referred to in correspondence.

[0113] like Figure 2 As shown, the device includes a first extraction module 201, a second extraction module 202, a first determination module 203, a quality control module 204, a second determination module 205, and an output module 206, wherein:

[0114] The first extraction module 201 is used to match the lightning monitoring data and radar echo data of the area in time and space, obtain the radar echo data corresponding to each lightning monitoring data, and statistically analyze the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics based on the radar echo data corresponding to each lightning monitoring data.

[0115] The second extraction module 202 is used to extract lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of different polarities and different location characteristics from the lightning monitoring data.

[0116] The first determining module 203 is used to perform log-normal distribution fitting on lightning monitoring data with different polarities and different positioning characteristics, and determine the threshold for quality control of the lightning monitoring data based on the fitting curve.

[0117] The quality control module 204 is used to perform quality control on the lightning monitoring data according to the threshold when it is determined that the lightning monitoring data should be quality controlled based on the distribution characteristics of lightning echo intensity, lightning current amplitude, and lightning spatial distribution characteristics with different polarities and different positioning characteristics.

[0118] The second determining module 205 is used to extract the spatial distribution characteristics of lightning with different polarities and different positioning features from the lightning monitoring data after preliminary quality control. If it is determined that there is still a clustered distribution phenomenon with a specific shape, the quality control threshold of the lightning monitoring data of a specific combination of stations within the latitude and longitude range where the clustered distribution phenomenon exists is determined and quality control is performed again.

[0119] The output module 206 is used to perform quality control on the real-time lightning monitoring data of the business operation according to the preliminary quality control threshold and the secondary quality control threshold, and output the real-time lightning monitoring data with the attached quality control code.

[0120] This embodiment determines whether quality control of lightning monitoring data is necessary by considering multiple aspects, including radar echo intensity, lightning current amplitude distribution, and lightning spatial distribution. It also determines the threshold for quality control of lightning monitoring data by fitting the data to a log-normal distribution, enabling precise quality control and providing more reliable data services for lightning warning issuance and professional lightning defense services. Furthermore, by establishing a fusion quality control technology for relevant elements of lightning monitoring data, it effectively improves the detection efficiency of lightning monitoring while ensuring rapid data processing, providing reliable data support for early warning issuance during thunderstorms and lightning defense for industries such as petrochemicals and power.

[0121] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. The processor 310, communication interface 320, and memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a lightning monitoring data quality control method. This method includes: matching historical lightning monitoring data and radar echo data of the region in time and space to obtain the radar echo data corresponding to each lightning monitoring data; statistically analyzing the lightning echo intensity distribution characteristics based on the radar echo data corresponding to each lightning monitoring data; extracting the lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data; fitting the lightning monitoring data to a log-normal distribution; and determining the quality control criteria for lightning monitoring data based on the fitted curve. The threshold for quality control of data; when quality control of the lightning monitoring data is determined based on the characteristics of lightning echo intensity distribution, lightning current amplitude distribution, and lightning spatial distribution, the lightning monitoring data is quality controlled according to the threshold; the spatial distribution characteristics of the quality-controlled lightning monitoring data are extracted, and the quality control threshold of the lightning monitoring data belonging to a specific combination of stations in a specific area is determined, and quality control is performed again; the real-time lightning monitoring data of the operational system is quality controlled according to the determined threshold and a quality control code is added, and the real-time lightning monitoring data with the added quality control code is output.

[0122] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0123] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the lightning monitoring data quality control method provided by the above methods. The method includes: matching the lightning monitoring data and radar echo data of a region in time and space to obtain the radar echo data corresponding to each lightning monitoring data; statistically analyzing the lightning echo intensity distribution characteristics based on the radar echo data corresponding to each lightning monitoring data; and extracting the lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data. The lightning monitoring data is fitted with a log-normal distribution, and the threshold for quality control of the lightning monitoring data is determined based on the fitted curve. When quality control of the lightning monitoring data is determined based on the characteristics of lightning echo intensity distribution, lightning current amplitude distribution, and lightning spatial distribution, the lightning monitoring data is quality controlled according to the threshold. The spatial distribution characteristics of the quality-controlled lightning monitoring data are extracted, and the quality control threshold for lightning monitoring data belonging to a specific combination of stations in a specific region is determined, and quality control is performed again. The real-time lightning monitoring data used in operational use is quality controlled according to the determined threshold, and a quality control code is added, outputting the real-time lightning monitoring data with the added quality control code.

[0124] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the lightning monitoring data quality control method provided by the above methods. This method includes: temporally and spatially matching lightning monitoring data and radar echo data for a region to obtain radar echo data corresponding to each lightning monitoring data point; statistically analyzing the lightning echo intensity distribution characteristics based on the radar echo data corresponding to each lightning monitoring data point; extracting lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data; and performing a log-normal distribution on the lightning monitoring data. Distribution fitting is performed, and a quality control threshold for lightning monitoring data is determined based on the fitted curve. When quality control of the lightning monitoring data is determined based on the characteristics of lightning echo intensity distribution, lightning current amplitude distribution, and lightning spatial distribution, the lightning monitoring data is quality controlled according to the threshold. The spatial distribution characteristics of the quality-controlled lightning monitoring data are extracted, and a quality control threshold for lightning monitoring data belonging to a specific region and specific station combination is determined, followed by another quality control step. The real-time lightning monitoring data used in operational use is quality controlled according to the determined threshold, and a quality control code is added, outputting the real-time lightning monitoring data with the added quality control code.

[0125] The device 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 any creative effort.

[0126] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., 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 the various embodiments or some parts of the embodiments.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for quality control of lightning monitoring data, characterized in that, include: Historical lightning monitoring data and radar echo data of the region are matched in time and space to obtain radar echo data corresponding to each lightning monitoring data. Based on the radar echo data corresponding to each lightning monitoring data, the distribution characteristics of lightning echo intensity with different polarities and different positioning characteristics are statistically analyzed. Extract lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of different polarities and different location characteristics from the lightning monitoring data; Log-normal distribution fitting is performed on lightning monitoring data with different polarities and different location characteristics, and the threshold for quality control of the lightning monitoring data is determined based on the fitting curve. When quality control of the lightning monitoring data is determined based on the distribution characteristics of lightning echo intensity, lightning current amplitude, and lightning spatial distribution characteristics with different polarities and location characteristics, the quality control of the lightning monitoring data is performed according to the threshold. Extract the spatial distribution characteristics of the lightning monitoring data after quality control, determine the quality control threshold of the lightning monitoring data belonging to a specific combination of monitoring stations in a specific region, and perform quality control again; The real-time lightning monitoring data of the business operation is subjected to quality control according to the determined threshold, and a quality control code is attached. The real-time lightning monitoring data with the attached quality control code is then output.

2. The lightning monitoring data quality control method according to claim 1, characterized in that, Based on the radar echo data corresponding to each lightning monitoring record, statistical analysis was conducted on the distribution characteristics of lightning echo intensity with different polarities and location features, including: The frequency of lightning monitoring data with different polarities and different location characteristics in each echo intensity interval is statistically analyzed and used as the lightning echo intensity distribution characteristics. If the lightning echo intensity distribution characteristics in the echo intensity range where the echo intensity is less than the first preset threshold are greater than the second preset threshold, then the lightning monitoring data is subject to quality control.

3. The lightning monitoring data quality control method according to claim 1, characterized in that, Extracting lightning current amplitude distribution characteristics of different polarities and location features from the lightning monitoring data includes: The percentage of lightning monitoring data with different polarities and different location characteristics in each lightning current amplitude range is counted to obtain the probability density of lightning current amplitude. The distribution curve of the probability density of the lightning current amplitude is plotted as the distribution feature of the lightning current amplitude; If the probability density of lightning current amplitude in the lightning current amplitude range where the lightning current amplitude is less than the third preset threshold is greater than the fourth preset threshold, then the lightning monitoring data is subject to quality control.

4. The lightning monitoring data quality control method according to claim 1, characterized in that, Extracting spatial distribution features of lightning with different polarities and different location characteristics from the lightning monitoring data includes: The region is divided into grids, and the frequency of lightning monitoring data with different polarities and different location characteristics in each grid is counted. A spatial distribution map of the frequency of the lightning monitoring data is plotted as the spatial distribution characteristics of lightning. When the lightning spatial distribution characteristics exhibit a specific shape of clustered distribution, quality control is required for the lightning monitoring data.

5. The lightning monitoring data quality control method according to claim 1, characterized in that, Log-normal distribution fitting is performed on lightning monitoring data with different polarities and location characteristics. Based on the fitted curve, a quality control threshold for the lightning monitoring data is determined, including: Log-normal distribution fitting is performed on lightning monitoring data of different polarities. If the fitted curve conforms to the characteristics of a normal distribution curve, the fitting deviation rate of the fitted curve is calculated. Obtain the lightning current amplitude range to which the lightning monitoring data with a fitting deviation rate greater than the fifth preset threshold belongs, and the distribution curves of lightning monitoring data with different location characteristics in the lightning current amplitude range with a lightning current amplitude less than the sixth preset threshold. Based on the distribution curve, a threshold for quality control of the lightning monitoring data is determined.

6. The lightning monitoring data quality control method according to claim 1, characterized in that, Extract the spatial distribution characteristics of the lightning monitoring data after quality control, determine the quality control threshold for lightning monitoring data belonging to a specific combination of stations in a specific region, and conduct quality control again, including: The spatial distribution characteristics of lightning with different polarities and different location features were extracted again from the quality-controlled lightning monitoring data; If the spatiotemporal distribution features of lightning extracted again still show a clustered distribution phenomenon with a specific shape, determine the latitude and longitude range where the clustered distribution phenomenon exists; Based on the lightning monitoring data of the station combination within the latitude and longitude range, the threshold is determined again; The lightning monitoring data for a specific range and a specific combination of monitoring stations are re-quality controlled based on the re-determined threshold. Check whether the lightning monitoring data after quality control is correct.

7. The lightning monitoring data quality control method according to claim 1, characterized in that, The real-time lightning monitoring data of the business operation is subjected to quality control according to the determined threshold, and a quality control code is attached. The real-time lightning monitoring data with the attached quality control code is output, including: Based on the preliminary quality control threshold and the secondary quality control threshold, the real-time lightning monitoring data of the business operation is subject to quality control. The quality control code indicating whether the data is correct or questionable will be appended to the real-time lightning monitoring data after quality control. Output real-time lightning monitoring data with additional quality control codes.

8. A lightning monitoring data quality control device, characterized in that, include: The first extraction module is used to match the lightning monitoring data and radar echo data of the region in time and space, obtain the radar echo data corresponding to each lightning monitoring data, and statistically analyze the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics based on the radar echo data corresponding to each lightning monitoring data. The second extraction module is used to extract lightning current amplitude distribution characteristics and lightning spatiotemporal distribution characteristics of different polarities and different location characteristics from the lightning monitoring data. The first determining module is used to perform log-normal distribution fitting on lightning monitoring data with different polarities and different positioning characteristics, and determine the threshold for quality control of the lightning monitoring data based on the fitting curve. The quality control module is used to perform quality control on the lightning monitoring data based on the threshold value, when the lightning echo intensity distribution characteristics, lightning current amplitude distribution characteristics, and lightning spatiotemporal distribution characteristics of different polarities and positioning characteristics are determined to be subject to quality control. The second determining module is used to extract the spatial distribution characteristics of lightning with different polarities and different positioning features from the lightning monitoring data after preliminary quality control, and if it is determined that there is still a clustered distribution phenomenon with a specific shape, it determines the quality control threshold of the lightning monitoring data of a specific combination of stations within the latitude and longitude range where the clustered distribution phenomenon exists, and performs quality control again. The output module is used to perform quality control on the real-time lightning monitoring data of the business operation according to the preliminary quality control threshold and the secondary quality control threshold, and output the real-time lightning monitoring data with the attached quality control code.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the lightning monitoring data quality control method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the lightning monitoring data quality control method as described in any one of claims 1 to 7.

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