Lightning monitoring data quality control method and device

Abstract

The application provides a lightning monitoring data quality control method and device, the method comprises the following steps: matching the historical lightning monitoring data and the radar echo data of a region in time and space, obtaining the radar echo data corresponding to each lightning monitoring data, and counting the lightning echo intensity distribution characteristics; extracting the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics from the lightning monitoring data; fitting the lightning monitoring data with a logarithmic normal distribution, determining the threshold for quality control of the lightning monitoring data according to the fitting curve; under the condition of determining the quality control of the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics, quality control is performed on the real-time lightning monitoring data according to the determined threshold, and the real-time lightning monitoring data with additional quality control codes is output. The application realizes accurate quality control of lightning monitoring data, and effectively improves the detection efficiency of lightning monitoring.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lightning monitoring, in particular to a lightning monitoring data quality control method and device. BACKGROUND

[0002] The lightning monitoring data refers to the current DDW1 three-dimensional lightning location network ground lightning data of the business operation of the meteorological department, which is obtained by monitoring the lightning activities in the covered area after networking of multiple DDW1 lightning location detection sub-stations. The DDW1 three-dimensional lightning location network ground lightning data is real-time data. When lightning occurs, the detection system collects and transmits it to the center station for positioning, recording the time, latitude and longitude, intensity, polarity, type and other parameters of lightning occurrence.

[0003] However, due to the influence of factors such as terrain environment, detection method, signal interference, etc., the lightning monitoring data has certain error compared with the lightning activities occurring in the real environment, which may cause missing measurement, false flash, etc., and seriously affect the lightning warning release, lightning defense professional service, etc., so it is necessary to perform real-time quality control on the DDW1 three-dimensional lightning location network ground lightning data. There is no real-time quality control scheme for the DDW1 three-dimensional lightning location network ground lightning data in the prior art, and more research and quality control are made on the ADTD two-dimensional lightning location network data, which is difficult to meet the business operation requirements. SUMMARY

[0004] In view of the problems in the prior art, the present application provides a lightning monitoring data quality control method and device.

[0005] The present application provides a lightning monitoring data quality control method, comprising:

[0006] Matching the historical lightning monitoring data and the radar echo data of the region in time and space, obtaining the radar echo data corresponding to each lightning monitoring data, and statistically analyzing the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics according to the radar echo data corresponding to each lightning monitoring data;

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

[0008] Performing logarithmic normal distribution fitting on the lightning monitoring data of different polarities and different positioning characteristics, and determining the threshold for quality control of the lightning monitoring data according to the fitting curve;

[0009] According to the threshold, the lightning monitoring data is quality controlled according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarities and different positioning characteristics;

[0010] extracting the spatial distribution characteristics of the lightning monitoring data after quality control, determining the quality control threshold of the lightning monitoring data belonging to a specific area and a specific station combination, and performing quality control again;

[0011] controlling the real-time lightning monitoring data in operation according to the determined threshold and adding a quality control code, and outputting the real-time lightning monitoring data with the added quality control code.

[0012] According to the lightning monitoring data quality control method provided by the application, the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics are counted according to the radar echo data corresponding to each lightning monitoring data, including:

[0013] The frequency of lightning monitoring data of different polarities and different positioning characteristics in each echo intensity interval is counted as the lightning echo intensity distribution characteristics;

[0014] In the case that the lightning echo intensity distribution characteristics of the echo intensity interval with an echo intensity less than a first preset threshold is greater than a second preset threshold, it is determined to control the lightning monitoring data.

[0015] According to the lightning monitoring data quality control method provided by the application, the lightning current amplitude distribution characteristics of different polarities and different positioning characteristics are extracted from the lightning monitoring data, including:

[0016] The percentage of the frequency of lightning monitoring data of different polarities and different positioning characteristics in each lightning current amplitude interval in the total frequency of lightning monitoring data is counted to obtain the lightning current amplitude probability density;

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

[0018] In the case that the lightning current amplitude probability density of the lightning current amplitude interval with a lightning current amplitude less than a third preset threshold in the lightning current amplitude distribution characteristics is greater than a fourth preset threshold, it is determined to control the lightning monitoring data.

[0019] According to the lightning monitoring data quality control method provided by the application, the lightning spatial distribution characteristics of different polarities and different positioning characteristics are extracted from the lightning monitoring data, including:

[0020] The area is divided into grids, and the frequency of lightning monitoring data of different polarities and different positioning characteristics in each grid is counted;

[0021] The spatial distribution map of the frequency of lightning monitoring data is drawn as the lightning spatial distribution characteristics;

[0022] In the case that the lightning spatial distribution characteristics exist a specific shape of aggregation distribution phenomenon, it is determined to control the lightning monitoring data.

[0023] A lightning monitoring data quality control method is provided according to the present application, and the lightning monitoring data of different polarities and different positioning characteristics is subjected to logarithmic normal distribution fitting, and a threshold for quality control of the lightning monitoring data is determined according to a fitting curve, comprising:

[0024] The lightning monitoring data of different polarities is subjected to logarithmic normal distribution fitting, and in the case that the fitting curve conforms to the characteristics of a normal distribution curve, a fitting deviation rate of the fitting curve is calculated;

[0025] The lightning current amplitude interval to which the lightning monitoring data with a fitting deviation rate greater than a fifth preset threshold belongs, and the distribution curve of the lightning monitoring data of different positioning characteristics in the lightning current amplitude interval with a lightning current amplitude less than a sixth preset threshold are obtained;

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

[0027] According to the lightning monitoring data quality control method provided by the present application, the spatial distribution characteristics of the lightning monitoring data after quality control are extracted, the quality control threshold of the lightning monitoring data belonging to a specific area and a specific station combination is determined, and quality control is performed again, comprising:

[0028] The lightning spatial distribution characteristics of different polarities and different positioning characteristics are extracted again from the lightning monitoring data after quality control;

[0029] In the case that the lightning spatial and temporal distribution characteristics extracted again still have a specific shape of aggregation distribution phenomenon, the latitude and longitude range where the aggregation distribution phenomenon exists is determined;

[0030] According to the lightning monitoring data of the station combination in the latitude and longitude range, the threshold is determined again;

[0031] The lightning monitoring data of a specific range and a specific station combination is subjected to quality control again according to the threshold determined again;

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

[0033] According to the lightning monitoring data quality control method provided by the present application, real-time lightning monitoring data in business operation is subjected to quality control according to a determined threshold and a quality control code is attached, and the real-time lightning monitoring data with the attached quality control code is output, comprising:

[0034] The real-time lightning monitoring data in business operation is subjected to quality control according to a preliminary quality control threshold and a secondary quality control threshold;

[0035] A quality control code indicating correct or suspicious is attached to the real-time lightning monitoring data after quality control;

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

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

[0038] The first extraction module is configured to match the lightning monitoring data and the radar echo data in time and space, obtain the radar echo data corresponding to each piece of lightning monitoring data, and count the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics according to the radar echo data corresponding to each piece of lightning monitoring data.

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

[0040] The first determination module is configured to perform logarithmic normal distribution fitting on the lightning monitoring data of different polarities and different positioning characteristics, and determine a threshold for quality control of the lightning monitoring data according to the fitting curve.

[0041] The quality control module is configured to perform quality control on the lightning monitoring data according to the threshold under the condition that the quality control of the lightning monitoring data is determined according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarities and different positioning characteristics.

[0042] The second determination module is configured to extract the lightning spatial distribution characteristics of different polarities and different positioning characteristics from the lightning monitoring data after preliminary quality control, and determine the quality control threshold of the lightning monitoring data of a specific station combination in a latitude and longitude range where the specific shape of the aggregation distribution phenomenon still exists.

[0043] The output module is configured 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 after the quality control codes are added.

[0044] The application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the lightning monitoring data quality control method according to any of the above when executing the program.

[0045] The application also provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executable by a processor to implement the lightning monitoring data quality control method according to any of the above.

[0046] The application also provides a computer program product comprising a computer program, wherein the computer program is executable by a processor to implement the lightning monitoring data quality control method according to any of the above.

[0047] The lightning monitoring data quality control method and device provided by the application determines whether lightning monitoring data needs to be controlled in quality from multiple angles such as radar echo intensity, lightning current amplitude distribution and lightning spatial distribution; the threshold for controlling the lightning monitoring data in quality is determined by fitting the lightning monitoring data to a logarithmic normal distribution, so that accurate quality control is realized for real-time lightning monitoring data, and more reliable data services are provided for lightning warning release, lightning defense professional services and the like; the fusion quality control technology is established for related elements of the lightning monitoring data, the detection efficiency of lightning monitoring is effectively improved on the basis of ensuring rapid data processing, and reliable data support is provided for lightning warning release in thunderstorm weather and lightning defense for petrochemical, power and other industries. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0049] Figure 1 is a flowchart of the lightning monitoring data quality control method provided by the application;

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

[0051] Figure 3 is a structural schematic diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0052] In order to make the objects, technical solutions and advantages of the application clearer, the technical solutions in the application will be described clearly and completely in combination with the drawings in the application. Obviously, the described embodiments are some embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0053] The application provides a lightning monitoring data quality control method and device. Figure 1 A lightning monitoring data quality control method provided by the application is described below, which comprises:

[0054] Step 101, the historical lightning monitoring data and radar echo data of the region are matched in time and space, the radar echo data corresponding to each lightning monitoring data is obtained, and the lightning echo intensity distribution characteristics of different polarity and different positioning characteristics are counted according to the radar echo data corresponding to each lightning monitoring data;

[0055] Obtaining lightning monitoring data detected by a regional lightning location network for at least one complete natural year and radar echo data of a region.

[0056] Pretreating the radar echo data into grid data. Based on the spatial range and the space-time resolution of the grid data, matching the lightning monitoring data in time and space to obtain the radar echo value of each lightning occurrence matched by the radar echo data. Statistically analyzing the lightning distribution characteristics in different echo intensity intervals.

[0057] The matching of the lightning monitoring data in time and space includes: screening the lightning monitoring data within the radar detection range; matching the screened lightning monitoring data in time according to the time resolution and the time period of the radar echo data to match the radar echo data corresponding to each lightning monitoring data; matching the lightning monitoring data that has been matched in time in space according to the latitude and longitude of the lightning monitoring data and the spatial resolution of the radar echo grid data to obtain the radar echo intensity value on the corresponding spatial grid.

[0058] Step 102, extracting the lightning current amplitude distribution characteristics and lightning spatial distribution characteristics of lightning monitoring data of different polarities and different positioning characteristics from the lightning monitoring data;

[0059] The lightning monitoring data of the DDW1 three-dimensional lightning location network has two types of information, namely, the positioning method and the station combination participating in positioning. The lightning monitoring data of the DDW1 three-dimensional lightning location network can be divided into three types of lightning monitoring data, namely, 3-station positioning, 4-station positioning, and 5-station and above positioning.

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

[0061] Step 103, fitting the lightning monitoring data of different polarities and different positioning characteristics to a lognormal distribution, and determining a threshold for quality control of the lightning monitoring data according to the fitting curve;

[0062] Fitting the lightning monitoring data to a lognormal distribution to determine the current quality control threshold of lightning monitoring data of different positioning characteristics.

[0063] Step 104, under the condition of determining the quality control of the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics, and the lightning spatial distribution characteristics of different polarities and different positioning characteristics, quality controlling the lightning monitoring data according to the threshold.

[0064] Step 105, extracting the spatial distribution characteristics of the lightning monitoring data after quality control, determining the quality control threshold of the lightning monitoring data belonging to a specific region and a specific station combination, and quality controlling again.

[0065] For the lightning monitoring data after quality control, lightning spatial distribution characteristics of different polarity and different positioning characteristics are extracted again.

[0066] It is judged whether the lightning spatial distribution characteristics extracted again exist a specific shape of the aggregation distribution phenomenon, and the latitude and longitude range where the aggregation distribution phenomenon exists is determined.

[0067] According to the lightning monitoring data of the station combination in the latitude and longitude range, the threshold is determined again.

[0068] According to the threshold determined again, the lightning monitoring data of a specific range and a specific station combination is quality controlled again.

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

[0070] In step 106, the real-time lightning monitoring data in business operation is quality controlled according to the determined threshold and a quality control code is attached, and the real-time lightning monitoring data with the attached quality control code is output.

[0071] According to the preliminary quality control threshold and the secondary quality control threshold, the real-time lightning monitoring data in business operation is quality controlled.

[0072] A quality control code indicating correct or suspicious is attached to the real-time lightning monitoring data after quality control.

[0073] The real-time lightning monitoring data with the attached quality control code is output.

[0074] In this embodiment, it is determined whether the lightning monitoring data needs to be quality controlled from multiple angles such as radar echo intensity, lightning current amplitude distribution and lightning spatial distribution; and the threshold for quality controlling the lightning monitoring data is determined by fitting the lightning monitoring data to a logarithmic normal distribution, so as to realize accurate quality control of the lightning monitoring data and provide more reliable data service for lightning warning release, lightning defense professional service and the like; by establishing a fused quality control technology for related elements of the lightning monitoring data, the detection efficiency of lightning monitoring is effectively improved on the basis of ensuring fast data processing, and reliable data support is provided for lightning warning release in thunderstorm weather and lightning defense for petrochemical and power industries.

[0075] On the basis of the above-mentioned embodiments, in this embodiment, lightning echo intensity distribution characteristics of different polarity and different positioning characteristics are counted according to radar echo data corresponding to each lightning monitoring data, including:

[0076] The frequency of lightning monitoring data of different polarity and different positioning characteristics in each echo intensity interval is counted as the lightning echo intensity distribution characteristics;

[0077] In a case where the lightning echo intensity distribution characteristic in the echo intensity interval with the echo intensity less than the first preset threshold is greater than a second preset threshold, it is determined to perform quality control on the lightning monitoring data.

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

[0079] The frequencies of the lightning monitoring data of different polarities and different positioning characteristics in each echo intensity interval are counted. If the frequency of the lightning monitoring data in the low-intensity echo interval accounts for a high proportion, it is determined that the lightning monitoring data of the positioning characteristic needs to be controlled.

[0080] On the basis of the above-mentioned embodiments, the lightning current amplitude distribution characteristic of different polarities and different positioning characteristics is extracted from the lightning monitoring data in the present embodiment, including:

[0081] The percentage of the frequency of the lightning monitoring data of different polarities and different positioning characteristics in each lightning current amplitude interval in the total frequency of the lightning monitoring data is counted to obtain the lightning current amplitude probability density.

[0082] The distribution curve of the lightning current amplitude probability density is drawn as the lightning current amplitude distribution characteristic.

[0083] In a case where the lightning current amplitude probability density in the lightning current amplitude interval with the lightning current amplitude less than a third preset threshold is greater than a fourth preset threshold, it is determined to perform quality control on the lightning monitoring data.

[0084] The lightning current amplitude intensity interval is divided, and the percentage of the frequency of the lightning monitoring data of different polarities and different positioning characteristics in the lightning current amplitude intensity interval in the total number, i.e., the lightning current amplitude probability density, is calculated. The distribution curve of the lightning current amplitude probability density is drawn, and the proportion change of the lightning monitoring data of different polarities and different positioning characteristics in the small-amplitude current region is compared and analyzed. If the proportion in the small-amplitude current region is high, it is determined that quality control needs to be performed.

[0085] On the basis of the above-mentioned embodiments, the lightning spatial distribution characteristic of different polarities and different positioning characteristics is extracted from the lightning monitoring data in the present embodiment, including:

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

[0087] The spatial distribution map of the frequency of the lightning monitoring data is drawn as the lightning spatial distribution characteristic.

[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] On the basis of the above-mentioned embodiments, in the present embodiment, the spatial distribution characteristics of the lightning monitoring data after quality control are extracted, the quality control threshold of the lightning monitoring data belonging to a specific area and a specific station combination is determined, and the lightning monitoring data is again quality controlled, including:

[0100] The lightning spatial distribution characteristics of different polarity and different positioning characteristics are again extracted from the lightning monitoring data after quality control.

[0101] In the case where the lightning spatial distribution characteristics again extracted still exist the aggregation distribution phenomenon of a specific shape, the longitude and latitude range where the aggregation distribution phenomenon exists is determined.

[0102] According to the lightning monitoring data of the station combination in the longitude and latitude range, the threshold is again determined.

[0103] The lightning monitoring data of a specific range and a specific station combination is again quality controlled according to the threshold again determined.

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

[0105] The lightning monitoring data spatial distribution again extracted after threshold quality control is analyzed to determine whether it is reasonable, including:

[0106] The frequency spatial distribution diagram of the lightning monitoring data of different positioning characteristics and different polarity after preliminary quality control is drawn, and it is determined whether the aggregation distribution phenomenon of a specific shape disappears. If it still exists, the longitude and latitude range of the phenomenon is determined, the station combination of the lightning monitoring data in the range and the lightning current amplitude distribution threshold are analyzed, and the quality control is again performed.

[0107] On the basis of the above-mentioned embodiments, in the present embodiment, the real-time lightning monitoring data in business operation is quality controlled according to the determined threshold and additional quality control codes are attached, and the real-time lightning monitoring data with additional quality control codes is output, including:

[0108] The real-time lightning monitoring data in business operation is quality controlled according to the preliminary quality control threshold and the secondary quality control threshold.

[0109] The quality control codes representing correct or suspicious are attached to the real-time lightning monitoring data after quality control.

[0110] The real-time lightning monitoring data with additional quality control codes is output.

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

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

[0113] As Figure 2 shown in the figure, the device comprises 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 for matching the lightning monitoring data and the radar echo data of the region in time and space, obtaining the radar echo data corresponding to each lightning monitoring data, and statistically analyzing the lightning echo intensity distribution characteristics of different polarities and different positioning characteristics according to the radar echo data corresponding to each lightning monitoring data;

[0115] The second extraction module 202 is used for extracting the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarities and different positioning characteristics from the lightning monitoring data;

[0116] The first determination module 203 is used for fitting the lightning monitoring data of different polarities and different positioning characteristics according to the logarithmic normal distribution, and determining the threshold for quality control of the lightning monitoring data according to the fitting curve;

[0117] The quality control module 204 is used for quality controlling the lightning monitoring data according to the threshold under the condition that the quality control of the lightning monitoring data is determined according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarities and different positioning characteristics;

[0118] The second determination module 205 is used for extracting the lightning spatial distribution characteristics of different polarities and different positioning characteristics from the lightning monitoring data after preliminary quality control, determining the quality control threshold of the lightning monitoring data of the specific station combination in the latitude and longitude range where the specific shape of the aggregation distribution phenomenon still exists, and re-controlling the quality control;

[0119] The output module 206 is used for quality controlling the real-time lightning monitoring data of the business operation according to the preliminary quality control threshold and the secondary quality control threshold, and outputting the real-time lightning monitoring data after adding the quality control code.

[0120] The embodiment determines whether the lightning monitoring data needs to be quality controlled from multiple angles such as the radar echo intensity, the lightning current amplitude distribution and the lightning spatial distribution, fits the lightning monitoring data according to the logarithmic normal distribution, determines the threshold for quality controlling the lightning monitoring data, realizes accurate quality control of the lightning monitoring data, provides more reliable data services for lightning warning release, lightning defense professional services and the like, establishes a fusion quality control technology for related elements of the lightning monitoring data, effectively improves the detection efficiency of lightning monitoring on the basis of ensuring fast data processing, and provides reliable data support for lightning defense of petrochemical, power and other industries in thunderstorm weather.

[0121] Figure 3 An example of a schematic diagram of a physical structure of an electronic device is shown in Figure 3 As shown, the electronic device can include a processor 310, a communications interface 320, a memory 330, and a communications bus 340, wherein the processor 310, the communications interface 320, and the memory 330 complete communications with each other through the communications bus 340. The processor 310 can invoke a logical instruction in the memory 330 to execute a lightning monitoring data quality control method, which includes: matching historical lightning monitoring data and radar echo data of a region in time and space, obtaining radar echo data corresponding to each lightning monitoring data, and statistically analyzing lightning echo intensity distribution characteristics according to the radar echo data corresponding to each lightning monitoring data; extracting lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data; fitting the lightning monitoring data to a logarithmic normal distribution, determining a threshold for quality control of the lightning monitoring data according to a fitting curve; under the condition of determining quality control of the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics, and the lightning spatial distribution characteristics, quality controlling the lightning monitoring data according to the threshold; extracting spatial distribution characteristics of the quality controlled lightning monitoring data, determining a quality control threshold of the lightning monitoring data belonging to a specific region and a specific station combination, and performing quality control again; quality controlling real-time lightning monitoring data in business operation according to the determined threshold and adding a quality control code, and outputting real-time lightning monitoring data with the added quality control code.

[0122] In addition, the logical instruction in the memory 330 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0123] In another aspect, the present application also provides a computer program product comprising a computer program, which can be stored on a non-transitory computer readable storage medium, and the computer program, when executed by a processor, enables a computer to perform the lightning monitoring data quality control method provided by the above-mentioned methods, which comprises: matching lightning monitoring data and radar echo data of a region in time and space, obtaining radar echo data corresponding to each piece of lightning monitoring data, and counting lightning echo intensity distribution characteristics according to the radar echo data corresponding to each piece of lightning monitoring data; extracting lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data; performing logarithmic normal distribution fitting on the lightning monitoring data, and determining a threshold for quality control of the lightning monitoring data according to the fitting curve; under the condition of determining quality control of the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics, quality controlling the lightning monitoring data according to the threshold; 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 regional specific station combination, and performing quality control again; quality controlling real-time lightning monitoring data in business operation according to the determined threshold and adding a quality control code, and outputting real-time lightning monitoring data with the added quality control code.

[0124] In another aspect, the present application also provides a non-transitory computer readable storage medium having a computer program stored thereon, and the computer program, when executed by a processor, enables a computer to perform the lightning monitoring data quality control method provided by the above-mentioned methods, which comprises: matching lightning monitoring data and radar echo data of a region in time and space, obtaining radar echo data corresponding to each piece of lightning monitoring data, and counting lightning echo intensity distribution characteristics according to the radar echo data corresponding to each piece of lightning monitoring data; extracting lightning current amplitude distribution characteristics and lightning spatial distribution characteristics from the lightning monitoring data; performing logarithmic normal distribution fitting on the lightning monitoring data, and determining a threshold for quality control of the lightning monitoring data according to the fitting curve; under the condition of determining quality control of the lightning monitoring data according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics, quality controlling the lightning monitoring data according to the threshold; 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 regional specific station combination, and performing quality control again; quality controlling real-time lightning monitoring data in business operation according to the determined threshold and adding a quality control code, and outputting real-time lightning monitoring data with the added quality control code.

[0125] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0126] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment 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 application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of quality control of lightning monitoring data, characterized in that, The method comprises the following steps: Matching the historical lightning monitoring data and the radar echo data of a region in time and space, obtaining the radar echo data corresponding to each lightning monitoring data, and counting the lightning echo intensity distribution characteristics of different polarity and different positioning characteristics according to the radar echo data corresponding to each lightning monitoring data; Extracting the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarity and different positioning characteristics from the lightning monitoring data; Fitting the lightning monitoring data of different polarity and different positioning characteristics to a lognormal distribution, and determining the threshold for quality control of the lightning monitoring data according to the fitting curve; Quality controlling the lightning monitoring data according to the threshold under the condition that the quality control of the lightning monitoring data is determined according to the lightning echo intensity distribution characteristics, the lightning current amplitude distribution characteristics and the lightning spatial distribution characteristics of different polarity and different positioning characteristics; 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 region and a specific station combination, and quality controlling again; Quality controlling the real-time lightning monitoring data in operation according to the determined threshold and adding a quality control code, and outputting the real-time lightning monitoring data with the added quality control code.

2. The method of quality control of lightning monitoring data according to claim 1, characterized in that, Counting the lightning monitoring data frequency of different polarity and different positioning characteristics in each echo intensity interval as the lightning echo intensity distribution characteristics; In the case that the lightning echo intensity distribution characteristics of the echo intensity interval with an echo intensity less than a first preset threshold is greater than a second preset threshold, the lightning monitoring data is determined to be quality controlled. Extracting the lightning current amplitude distribution characteristics of different polarity and different positioning characteristics from the lightning monitoring data, comprising:

3. The method of quality control of lightning monitoring data according to claim 1, characterized in that, Counting the percentage of the lightning monitoring data frequency of different polarity and different positioning characteristics in each lightning current amplitude interval in the total lightning monitoring data frequency to obtain the lightning current amplitude probability density; Drawing the distribution curve of the lightning current amplitude probability density as the lightning current amplitude distribution characteristics; In the case that the lightning current amplitude probability density of the lightning current amplitude interval with a lightning current amplitude less than a third preset threshold is greater than a fourth preset threshold in the lightning current amplitude distribution characteristics, the lightning monitoring data is determined to be quality controlled. Extracting the lightning spatial distribution characteristics of different polarity and different positioning characteristics from the lightning monitoring data, comprising:

4. The method of quality control of lightning monitoring data according to claim 1, characterized in that, Dividing the region into grids, and counting the lightning monitoring data frequency of different polarity and different positioning characteristics in each grid; Drawing the spatial distribution map of the lightning monitoring data frequency as the lightning spatial distribution characteristics; In the case that the lightning spatial distribution characteristics exist a specific shape of aggregation distribution phenomenon, the lightning monitoring data is determined to be quality controlled. Fitting the lightning monitoring data of different polarity and different positioning characteristics to a lognormal distribution, and determining the threshold for quality control of the lightning monitoring data according to the fitting curve, comprising:

5. The method of quality control of lightning monitoring data according to claim 1, characterized in that, ​ Fitting the lightning monitoring data of different polarities with a lognormal distribution, calculating a fitting deviation rate of the fitting curve in a case where the fitting curve meets the characteristics of a normal distribution curve; obtaining a lightning current amplitude interval to which the lightning monitoring data with the fitting deviation rate greater than a fifth preset threshold belongs, and a distribution curve of the lightning monitoring data of different positioning features in a lightning current amplitude interval with a lightning current amplitude less than a sixth preset threshold; determining a threshold for quality control of the lightning monitoring data according to the distribution curve.

6. The method of quality control of lightning monitoring data according to claim 1, characterized in that, extracting spatial distribution features of the lightning monitoring data after quality control, determining a quality control threshold of the lightning monitoring data belonging to a specific area and a specific station combination, and performing quality control again, including: extracting lightning spatial distribution features of different polarities and different positioning features from the lightning monitoring data after quality control again; in a case where the lightning space-time distribution features extracted again still have a specific shape of aggregation distribution phenomenon, determining a longitude and latitude range where the aggregation distribution phenomenon exists; determining the threshold again according to the lightning monitoring data of the station combination in the longitude and latitude range; performing quality control again on the lightning monitoring data of a specific range and a specific station combination according to the threshold determined again; detecting whether the lightning monitoring data after quality control is correct.

7. The method of quality control of lightning monitoring data according to claim 1, characterized in that, performing quality control on real-time lightning monitoring data in business operation according to the determined threshold and adding a quality control code, and outputting the real-time lightning monitoring data with the added quality control code, including: performing quality control on real-time lightning monitoring data in business operation according to the preliminary quality control threshold and the secondary quality control threshold; adding a quality control code indicating correct or suspicious to the real-time lightning monitoring data after quality control; outputting the real-time lightning monitoring data with the added quality control code.

8. A device for quality control of lightning monitoring data, characterized in that including: a first extraction module configured to match lightning monitoring data and radar echo data of an area in time and space, obtain radar echo data corresponding to each lightning monitoring data, and count lightning echo intensity distribution features of different polarities and different positioning features according to the radar echo data corresponding to each lightning monitoring data; a second extraction module configured to extract lightning current amplitude distribution features and lightning space-time distribution features of different polarities and different positioning features from the lightning monitoring data; a first determination module configured to fit lightning monitoring data of different polarities and different positioning features with a lognormal distribution, and determine a threshold for quality control of the lightning monitoring data according to a fitting curve; a quality control module configured to perform quality control on the lightning monitoring data according to the threshold in a case where the quality control on the lightning monitoring data is determined according to lightning echo intensity distribution features, lightning current amplitude distribution features, and lightning space-time distribution features of different polarities and different positioning features; a second determination module configured to extract lightning spatial distribution features of different polarities and different positioning features from the lightning monitoring data after preliminary quality control, determine a quality control threshold of the lightning monitoring data of a specific station combination in a longitude and latitude range where a specific shape of aggregation distribution phenomenon still exists, and perform quality control again. An output module is configured to perform quality control on real-time lightning monitoring data of a service operation according to a preliminary quality control threshold and a secondary quality control threshold, and output the real-time lightning monitoring data with an additional quality control code.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the lightning monitoring data quality control method according to any one of claims 1 to 7 when executing the program.

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

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