Multi-parameter lightning location, systems, computer equipment and media

Abstract

The present invention discloses a multi-parameter lightning location, system, computer equipment and medium, which obtains lightning shape features contained in a detection image of a preset warning area by means of image recognition, records the area where the lightning shape features exist as a lightning primary screening area, and obtains coordinate information of the lightning shape features when the lightning primary screening area is in a thunderstorm state, thereby realizing accurate lightning shape feature location for various scenes by means of image recognition, solving the problem of low lightning strike point location accuracy in the existing lightning location network in the prior art, where the lightning strike point location error is often 500m-1000m, and it is difficult to meet the high-precision lightning location requirements in special scenes such as plateau mountainous areas and power distribution networks, realizing the high-precision lightning location requirements in various scenes, and improving the accuracy of lightning location.

Description

Technical Field

[0001] The present invention relates to the field of lightning monitoring technology, and in particular to a multi-parameter lightning positioning system, computer equipment and medium. Background Art

[0002] The formation and occurrence of lightning are accompanied by a variety of physical effects, including changes in the atmospheric electrostatic field caused by the formation and occurrence of lightning, flashes, strong electromagnetic radiation, and large currents generated during lightning discharge, etc. These physical effects caused by lightning can cause serious harm to people's production and life. For my country's power grid system, lightning strikes are the primary cause of the tripping of its transmission lines. For this reason, my country's power grid has built a wide-area lightning monitoring network with advanced technology, and has built a lightning risk warning system and lightning optical imaging monitoring devices for important transmission channels, realizing the proximity warning, fixed-point monitoring, and wide-area monitoring and positioning of lightning activities.

[0003] In order to achieve early warning, monitoring and positioning of lightning strike risks, it is particularly important to determine the location of lightning strikes. The determination of the location of lightning strikes is of great significance for accident analysis and lightning protection effect evaluation. At present, the commonly used methods for lightning strike positioning are time difference method, directional method or time difference directional comprehensive method, which can locate lightning in a large range. In order to achieve accurate lightning strike point positioning, a lightning positioning network covering the whole country has been deployed in China. However, the existing lightning positioning network has the problem of low lightning strike point positioning accuracy. The lightning strike point positioning error is often 500m-1000m, which is difficult to meet the high-precision lightning strike point positioning requirements in special scenarios such as plateau mountainous areas and distribution networks. Summary of the invention

[0004] Based on this, it is necessary to address the above problems and propose a multi-parameter lightning location, system, computer equipment and medium that can accurately locate the lightning strike point in all scenarios.

[0005] A lightning location method using multiple physical parameters, comprising an image acquisition unit, the method comprising:

[0006] Acquire a detection image of a preset warning area, extract lightning shape features of the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area;

[0007] Determining whether the lightning initial screening area is in a thunderstorm state;

[0008] The coordinate position of the lightning shape feature in the lightning preliminary screening area is acquired by the image acquisition unit, thereby forming lightning coordinate information.

[0009] Furthermore, the step of obtaining a detection image of a preset warning area, extracting lightning shape features of the detection image, and recording the area where the lightning shape features exist as a lightning preliminary screening area specifically includes:

[0010] Generate a position acquisition coordinate system in the preset warning area;

[0011] Obtain the coordinate position of the lightning shape feature on the position acquisition coordinate system, and record it as a feature coordinate point;

[0012] A circular area is divided on the position acquisition coordinate system with the characteristic coordinate point as the center, and the circular area is recorded as the lightning initial screening area.

[0013] Further, the determining whether the lightning initial screening area is in a thunderstorm state specifically includes:

[0014] Acquire historical weather information of the lightning initial screening area, wherein the historical weather information includes thunderstorm weather and non-thunderstorm weather;

[0015] Obtain the first atmospheric electric field value of the lightning initial screening area during the thunderstorm weather,

[0016] and recording the high-frequency energy ratio of the first atmospheric electric field value as a thunderstorm identification parameter;

[0017] Obtaining a second atmospheric electric field value of the lightning initial screening area during the non-thunderstorm weather, and recording a high-frequency band energy ratio of the second atmospheric electric field value as a non-thunderstorm identification parameter;

[0018] Whether the lightning initial screening area is in a thunderstorm state is determined according to the thunderstorm identification parameter and the non-thunderstorm identification parameter.

[0019] Furthermore, the step of judging whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameter and the non-thunderstorm identification parameter specifically includes:

[0020] Obtaining the atmospheric electric field value of the lightning initial screening area, and calculating the high-frequency band energy ratio of the atmospheric electric field value, and recording it as an identification parameter;

[0021] The thunderstorm identification parameter and the non-thunderstorm identification parameter are calculated using a preset random forest algorithm to generate a threshold value;

[0022] When the identification parameter is greater than the threshold value, the lightning initial screening area is determined to be in the thunderstorm state. Conversely, when the identification parameter is less than the threshold value, the lightning initial screening area is determined to be not in the thunderstorm state.

[0023] Furthermore, the step of acquiring the coordinate position of the lightning shape feature in the lightning preliminary screening area by the image acquisition unit to form lightning coordinate information specifically includes:

[0024] Using an azimuth positioning method to calculate the azimuth value of the lightning shape feature based on the image acquisition unit;

[0025] Calculate the distance value of the lightning shape feature based on the image acquisition unit using a parallax positioning method;

[0026] The coordinate position of the lightning shape feature is obtained based on the azimuth value and the distance value in the position acquisition coordinate system, thereby forming lightning coordinate information.

[0027] Furthermore, the step of using the azimuth positioning method to estimate the lightning shape feature based on the azimuth value of the image acquisition unit specifically includes:

[0028] Obtaining the image width of the lightning initial screening area obtained by the image acquisition unit, recorded as a width value X;

[0029] Generate a position acquisition coordinate system on the lightning preliminary screening area, and obtain the horizontal coordinate value of the center point of the area occupied by the lightning shape feature in the position acquisition coordinate system, which is recorded as the horizontal coordinate length value x;

[0030] Obtaining the orientation angle and the field of view angle of the image acquisition unit, which are recorded as the orientation angle value O and the field of view angle value F respectively;

[0031] The orientation angle value O, the field of view angle value F, the width value X, and the horizontal coordinate length value x are input into a preset direction calculation formula for calculation, thereby obtaining the direction value of the lightning shape feature based on the image acquisition unit.

[0032] Furthermore, the image acquisition unit is provided with a first image acquisition module and a second image acquisition module, and the first image acquisition module and the second image acquisition module are connected to each other;

[0033] Then the method of using the parallax positioning method to infer the lightning shape feature based on the distance value of the image acquisition unit specifically includes:

[0034] Acquire a parallax distance between the first image acquisition module and the lightning shape feature, recorded as a first parallax distance m;

[0035] Acquire a parallax distance between the second image acquisition module and the lightning shape feature, recorded as a second parallax distance n;

[0036] Obtaining the focal length of the lens of the first image acquisition module and the second image acquisition module, recorded as focal length value f;

[0037] Obtaining a distance between the first image acquisition module and the second image acquisition module, recorded as a distance value b;

[0038] The distance value b, the focal length value f, the first parallax distance m, and the second parallax distance n are input into a preset distance calculation formula for calculation, so as to obtain the distance value between the lightning shape feature and the image acquisition unit.

[0039] A multi-physical parameter lightning locating system, comprising an image acquisition unit, the system comprising:

[0040] An acquisition unit, used for acquiring a detection image of a preset warning area, extracting lightning shape features of the detection image, and recording an area where the lightning shape features exist as a lightning preliminary screening area;

[0041] A judgment unit, used to judge whether the lightning preliminary screening area is in a thunderstorm state;

[0042] A positioning unit is used to obtain the coordinate position of the lightning shape feature in the lightning preliminary screening area through the image acquisition unit, so as to form lightning coordinate information.

[0043] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0044] Acquire a detection image of a preset warning area, extract lightning shape features of the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area;

[0045] Determining whether the lightning initial screening area is in a thunderstorm state;

[0046] The coordinate position of the lightning shape feature in the lightning preliminary screening area is acquired by the image acquisition unit, thereby forming lightning coordinate information.

[0047] A computer readable medium stores a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0048] Acquire a detection image of a preset warning area, extract lightning shape features of the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area;

[0049] Determining whether the lightning initial screening area is in a thunderstorm state;

[0050] The coordinate position of the lightning shape feature in the lightning preliminary screening area is acquired by the image acquisition unit, thereby forming lightning coordinate information.

[0051] The above-mentioned multi-physical parameter lightning location method, system, computer equipment and medium obtain the lightning shape features contained in the detection image of the preset warning area by image recognition, and record the area where the lightning shape features exist as the lightning primary screening area, and obtain the coordinate information of the lightning shape features when the lightning primary screening area is in a thunderstorm state, thereby realizing accurate lightning shape feature positioning for various scenarios using image recognition, solving the problem of low lightning strike point positioning accuracy in the existing lightning location network in the prior art. The lightning strike point positioning error is often 500m-1000m, which is difficult to meet the high-precision lightning strike positioning requirements in special scenarios such as plateau mountainous areas and distribution networks. It realizes the high-precision lightning strike positioning requirements in various scenarios and improves the accuracy of lightning strike positioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] in:

[0054] Figure 1 A method flow chart of a multi-parameter lightning locating method in one embodiment;

[0055] Figure 2 is a structural block diagram of an image acquisition unit in one embodiment;

[0056] Figure 3 A structural block diagram of a multi-parameter lightning location system in one embodiment;

[0057] Figure 4 A block diagram of a computer device in one embodiment; DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] refer to Figure 1 and Figure 2 A lightning location method of multiple physical parameters, characterized in that it includes an image acquisition unit 1, and the method includes:

[0060] S1. Obtain a detection image of a preset warning area, extract lightning shape features from the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area;

[0061] As described in the above step S1, the background system obtains the detection image of the preset warning area. It can be understood that the preset warning area is the monitoring area that needs to be monitored for lightning. Then, the background system extracts the lightning shape features contained in the detection image from the detection image. It can be understood that the background system then records the area with lightning shapes in the detection image as the lightning initial screening area;

[0062] Among them, the backend system is generally a backend server. In addition, the backend system can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms. The present invention does not limit this.

[0063] S2, determining whether the lightning initial screening area is in a thunderstorm state;

[0064] As described in the above step S2, the background system determines whether the lightning initial screening area is in a thunderstorm state according to the existence of the lightning shape characteristics.

[0065] S3. Acquire the coordinate position of the lightning shape feature in the lightning preliminary screening area through the image acquisition unit, thereby forming lightning coordinate information.

[0066] As described in the above step S3, the background system obtains the coordinate position of the lightning shape feature in the lightning preliminary screening area through the image acquisition unit 1, thereby forming the lightning coordinate information to achieve the function of accurately locating the lightning strike point.

[0067] This embodiment uses the above method to obtain the lightning shape features contained in the detection image of the preset warning area by image recognition, and records the area where the lightning shape features exist as the lightning preliminary screening area, and obtains the coordinate information of the lightning shape features when the lightning preliminary screening area is in a thunderstorm state, thereby realizing accurate lightning shape feature positioning for various scenarios using image recognition, solving the problem of low lightning strike point positioning accuracy in the existing lightning positioning network in the prior art, where the lightning strike point positioning error is often 500m-1000m, and it is difficult to meet the high-precision lightning positioning requirements in special scenarios such as plateau mountainous areas and distribution networks, and realizing the high-precision lightning positioning requirements in various scenarios, thereby improving the accuracy of lightning positioning.

[0068] In one embodiment, the step S1 specifically includes:

[0069] S11. Generate a position acquisition coordinate system in the preset warning area, obtain the coordinate position of the lightning shape feature in the position acquisition coordinate system, record it as a characteristic coordinate point, divide a circular area on the position acquisition coordinate system with the characteristic coordinate point as the center, and record the circular area as the lightning initial screening area.

[0070] As described in the above embodiment, the radius length of the circular area ranges from 1km to 3km, and the background system generates a position acquisition coordinate system in the preset warning area, and then determines the coordinate position of the lightning shape feature in the position acquisition coordinate system and records it as a feature coordinate point. Then, the background system divides the circular area in the position acquisition coordinate system with the feature coordinate point as the center of the circle, and records the circular area as the lightning initial screening area. It can be understood that the radius length of the circular area can be set by the user to adjust the size of the circular area. In the embodiments of the present application, the present invention does not limit the radius length of the circular area.

[0071] In one embodiment, the step S2 specifically includes:

[0072] S21. Obtain historical weather information of the lightning initial screening area, the historical weather information includes thunderstorm weather and non-thunderstorm weather, obtain a first atmospheric electric field value of the lightning initial screening area during the thunderstorm weather, and record the high-frequency energy ratio of the first atmospheric electric field value as a thunderstorm identification parameter, obtain a second atmospheric electric field value of the lightning initial screening area during the non-thunderstorm weather, and record the high-frequency energy ratio of the second atmospheric electric field value as a non-thunderstorm identification parameter, and determine whether the lightning initial screening area is in a thunderstorm state based on the thunderstorm identification parameter and the non-thunderstorm identification parameter.

[0073] As described in the above embodiment, the background system obtains historical weather information of the lightning initial screening area, wherein the historical weather information includes the thunderstorm weather and the non-thunderstorm weather. Then, the background system obtains the first atmospheric electric field value of the lightning initial screening area during the thunderstorm weather, and records the high-frequency energy ratio of the first atmospheric electric field value as a thunderstorm identification parameter. At the same time, the background system obtains the second atmospheric electric field value of the lightning initial screening area during the non-thunderstorm weather, and records the high-frequency energy ratio of the second atmospheric electric field value as a non-thunderstorm identification parameter. Then, the background system determines whether the lightning initial screening area is in a thunderstorm state based on the thunderstorm identification parameters and the non-thunderstorm identification parameters.

[0074] In one embodiment, the step of judging whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameter and the non-thunderstorm identification parameter specifically includes:

[0075] S22. Obtain the atmospheric electric field value of the lightning initial screening area, and calculate the high-frequency band energy ratio of the atmospheric electric field value, record it as an identification parameter, and use a preset random forest algorithm to calculate the thunderstorm identification parameter and the non-thunderstorm identification parameter to generate a threshold value, and judge that when the identification parameter is greater than the threshold value, the lightning initial screening area is determined to be in the thunderstorm state; conversely, when the identification parameter is less than the threshold value, the lightning initial screening area is determined to be not in the thunderstorm state.

[0076] As described in the above embodiment, the background system obtains the atmospheric electric field value of the lightning initial screening area, and uses wavelet packet analysis to infer the high-frequency band energy ratio of the atmospheric electric field value, which is recorded as an identification parameter, and then uses a preset random forest algorithm as a classifier to perform feature learning on the atmospheric electric field before the historical thunderstorm (i.e., the non-thunderstorm identification parameter) and the atmospheric electric field after the thunderstorm (i.e., the thunderstorm identification parameter), thereby generating a lightning occurrence probability partition condition threshold based on the high-frequency band energy ratio, i.e., the threshold value;

[0077] Afterwards, the background system determines whether the identification parameter is less than the threshold value. If so, the lightning initial screening area is determined to be not in the thunderstorm state. Conversely, when the identification parameter is greater than the threshold value, the background system determines the lightning initial screening area to be in the thunderstorm state.

[0078] In one embodiment, the step S3 specifically includes:

[0079] S31. Use an azimuth positioning method to calculate the azimuth value of the lightning shape feature based on the image acquisition unit, use a parallax positioning method to calculate the distance value of the lightning shape feature based on the image acquisition unit, and obtain the coordinate position of the lightning shape feature based on the azimuth value and the distance value in the position acquisition coordinate system, thereby forming lightning coordinate information.

[0080] As described in the above embodiment, the background system records the coordinate information of the image acquisition unit as the origin in the position acquisition coordinate system, and then uses the azimuth positioning method to calculate the azimuth value of the lightning shape feature based on the origin in the position acquisition coordinate system. At the same time, the background system also uses the parallax positioning method to calculate the distance value of the lightning shape feature based on the origin in the position acquisition coordinate system. Then, the background system takes the origin as the starting point in the position acquisition coordinate system, and performs calculation according to the distance value and the azimuth value, so as to obtain the coordinate position of the lightning shape feature, and record the coordinate position of the lightning shape feature as the lightning coordinate information.

[0081] In one embodiment, the step of using the azimuth positioning method to estimate the lightning shape feature based on the azimuth value of the image acquisition unit specifically includes:

[0082] S32, obtain the width of the image of the lightning initial screening area obtained by the image acquisition unit, record it as the width value X, generate a position acquisition coordinate system on the lightning initial screening area, and obtain the horizontal coordinate value of the center point of the area occupied by the lightning shape feature in the position acquisition coordinate system, record it as the horizontal coordinate length value x, obtain the orientation angle and field of view angle of the image acquisition unit, record them as the orientation angle value O and the field of view angle value F, respectively, and record the orientation angle value O, the field of view angle value F, the width value X and the horizontal coordinate length value The direction is input into a preset direction calculation formula for calculation, thereby obtaining the direction value of the lightning shape feature based on the image acquisition unit.

[0083] As described in the above embodiment, the image acquisition unit is an industrial camera, then the background system acquires the width of the picture of the lightning initial screening area acquired by the image acquisition unit, and records it as the width value X. At the same time, the background system generates a position acquisition coordinate system on the lightning initial screening area, and then obtains the horizontal coordinate value of the position of the center point of the area occupied by the lightning shape feature in the position acquisition coordinate system, which is recorded as the horizontal coordinate length value x. Finally, the background system acquires the orientation angle and field of view angle of the image acquisition unit, which are recorded as the orientation angle value O and the field of view angle value F, respectively. Then, the background system calculates the orientation angle value O, the field of view angle value F, the width value X, and the horizontal coordinate length value x. Input into the preset direction calculation formula for calculation. After inputting the above parameters, the preset direction calculation formula is specifically expressed as:

[0084]

[0085] Among them, parameter A represents the direction value of the lightning shape feature based on the image acquisition unit, which is marked by azimuth, and the unit is degree; parameter O represents the actual direction of the image acquisition unit, which is represented by azimuth, and the unit is degree; F represents the field of view of the image acquisition unit, and the unit is degree; X represents the width of the lightning picture collected by the image acquisition unit, and the unit is pixel; Indicates the horizontal coordinate value of the center point of the area occupied by lightning on the image, in pixels.

[0086] The estimated value of the final parameter A is the direction value of the lightning shape feature based on the image acquisition unit.

[0087] In one embodiment, the image acquisition unit 1 includes a first image acquisition module 11 and a second image acquisition module 12, and the first image acquisition module 11 and the second image acquisition module 12 are connected to each other;

[0088] Then the method of using the parallax positioning method to infer the lightning shape feature based on the distance value of the image acquisition unit specifically includes:

[0089] S33, obtaining the parallax distance between the first image acquisition module 11 and the lightning shape feature, recorded as the first parallax distance m, obtaining the parallax distance between the second image acquisition module 12 and the lightning shape feature, recorded as the second parallax distance n, obtaining the lens focal length of the first image acquisition module 11 and the second image acquisition module 12, recorded as the focal length value f, obtaining the distance between the first image acquisition module 11 and the second image acquisition module 12, recorded as the distance value b, inputting the distance value b, the focal length value f, the first parallax distance m and the second parallax distance n into a preset distance calculation formula for calculation, thereby obtaining the distance value between the lightning shape feature and the image acquisition unit.

[0090] As described in the above embodiment, the first image acquisition module 11 is a first camera, and the second image acquisition module 12 is a second camera, then the background system acquires the parallax distance between the first image acquisition module 11 and the lightning shape feature, recorded as the first parallax distance m, and at the same time, the background system acquires the parallax distance between the second image acquisition module 12 and the lightning shape feature, recorded as the second parallax distance n, and then the background system acquires the lens focal lengths of the first image acquisition module 11 and the second image acquisition module 12, recorded as the focal length value f. It can be understood that the lens focal lengths of the first image acquisition module 11 and the second image acquisition module 12 are consistent, both of which are the focal length value f. Then, the background system acquires the distance between the first image acquisition module and the second image acquisition module, recorded as the distance value b, and then the background system inputs the distance value b, the focal length value f, the first parallax distance m and the second parallax distance n into the preset distance calculation formula for calculation. After the above parameters are input, the preset distance calculation formula is specifically expressed as follows:

[0091]

[0092] The estimated value of the final parameter d is the distance value of the lightning shape feature based on the image acquisition unit.

[0093] refer to Figure 3 , a multi-physical parameter lightning locating system, comprising an image acquisition unit, the system comprising:

[0094] An acquisition unit 10 is used to acquire a detection image of a preset warning area, extract lightning shape features from the detection image, and record an area where the lightning shape features exist as a lightning preliminary screening area;

[0095] A judgment unit 20, used to judge whether the lightning preliminary screening area is in a thunderstorm state;

[0096] The positioning unit 30 is used to obtain the coordinate position of the lightning shape feature in the lightning preliminary screening area through the image acquisition unit, so as to form lightning coordinate information.

[0097] The above-mentioned units are lightning location systems that execute the above-mentioned multiple physical parameters, and will not be introduced one by one here.

[0098] Figure 4 FIG. 1 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a server, including but not limited to a high-performance computer and a high-performance computer cluster. Figure 4As shown, the computer device includes a processor, a memory and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor may implement the employee status determination method. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor may execute the multi-physical parameter lightning location method.

[0099] In one embodiment, the customer behavior identification method provided by the present invention can be implemented in the form of a computer program. The computer program can be used in Figure 4 The computer device shown in the figure is run. The memory of the computer device can store various program templates constituting the automatic mail classification and aggregation device, such as: an acquisition unit 10, a judgment unit 20 and a positioning unit 30.

[0100] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0101] Acquire a detection image of a preset warning area, extract differential features of the detection image, and record the area where the differential features exist as a lightning preliminary screening area, determine whether the lightning preliminary screening area is in a thunderstorm state, and obtain the coordinate position of the differential features in the lightning preliminary screening area through the image acquisition unit, thereby forming lightning coordinate information.

[0102] From the above embodiments, it can be seen that the greatest beneficial effect of the present invention is that the lightning shape features contained in the detection image of the preset warning area are obtained by image recognition, and the area where the lightning shape features exist is recorded as the lightning preliminary screening area, and the coordinate information of the lightning shape features is obtained when the lightning preliminary screening area is in a thunderstorm state, thereby realizing accurate lightning shape feature positioning for various scenes using image recognition, solving the problem of low lightning strike point positioning accuracy in the existing lightning positioning network in the prior art, where the lightning strike point positioning error is often 500m-1000m, and it is difficult to meet the high-precision lightning positioning requirements in special scenes such as plateau mountainous areas and distribution networks, and realizing the high-precision lightning positioning requirements in various scenes, thereby improving the accuracy of lightning positioning.

[0103] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be accomplished by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), and double data rate.

[0104] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0105] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A lightning location method based on multiple physical parameters, characterized in that: Including an image acquisition unit, the method comprises: Acquire a detection image of a preset warning area, extract lightning shape features of the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area, wherein the lightning preliminary screening area is a circular area divided with the area where the lightning shape features exist as the center; Determining whether the lightning initial screening area is in a thunderstorm state; Acquiring the coordinate position of the lightning shape feature in the lightning preliminary screening area by the image acquisition unit, thereby forming lightning coordinate information; Wherein, the determining whether the lightning initial screening area is in a thunderstorm state specifically includes: Acquire historical weather information of the lightning initial screening area, wherein the historical weather information includes thunderstorm weather and non-thunderstorm weather; Obtaining a first atmospheric electric field value of the lightning initial screening area during the thunderstorm weather, and recording a high-frequency band energy ratio in the first atmospheric electric field value as a thunderstorm identification parameter; Obtaining a second atmospheric electric field value of the lightning initial screening area during the non-thunderstorm weather, and recording a high-frequency band energy ratio of the second atmospheric electric field value as a non-thunderstorm identification parameter; Determining whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameter and the non-thunderstorm identification parameter; The step of judging whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameter and the non-thunderstorm identification parameter specifically includes: Obtaining the atmospheric electric field value of the lightning initial screening area, and calculating the high-frequency band energy ratio of the atmospheric electric field value, and recording it as an identification parameter; The thunderstorm identification parameter and the non-thunderstorm identification parameter are calculated using a preset random forest algorithm to generate a threshold value; When the identification parameter is greater than the threshold value, the lightning initial screening area is determined to be in the thunderstorm state. Conversely, when the identification parameter is less than the threshold value, the lightning initial screening area is determined to be not in the thunderstorm state.

2. The lightning location method of multiple physical parameters as claimed in claim 1, characterized in that: The step of obtaining a detection image of a preset warning area, extracting lightning shape features from the detection image, and recording an area where the lightning shape features exist as a lightning preliminary screening area specifically includes: Generate a position acquisition coordinate system in the preset warning area; Obtain the coordinate position of the lightning shape feature on the position acquisition coordinate system, and record it as a feature coordinate point; A circular area is divided on the position acquisition coordinate system with the characteristic coordinate point as the center, and the circular area is recorded as the lightning initial screening area.

3. The lightning location method of multiple physical parameters as claimed in claim 2, characterized in that: The step of acquiring the coordinate position of the lightning shape feature in the lightning preliminary screening area by the image acquisition unit to form lightning coordinate information specifically includes: Calculate the azimuth value of the lightning shape feature based on the image acquisition unit using an azimuth positioning method; Calculate the distance value of the lightning shape feature based on the image acquisition unit using a parallax positioning method; The coordinate position of the lightning shape feature is obtained based on the azimuth value and the distance value in the position acquisition coordinate system, thereby forming lightning coordinate information.

4. The lightning location method of multiple physical parameters as claimed in claim 3, characterized in that: The step of using the azimuth positioning method to infer the lightning shape feature based on the azimuth value of the image acquisition unit specifically includes: Obtaining the image width of the lightning initial screening area obtained by the image acquisition unit, recorded as a width value X; Generate a position acquisition coordinate system on the lightning preliminary screening area, and obtain the horizontal coordinate value of the center point of the area occupied by the lightning shape feature in the position acquisition coordinate system, which is recorded as the horizontal coordinate length value x; Obtaining the orientation angle and the field of view angle of the image acquisition unit, which are recorded as the orientation angle value O and the field of view angle value F respectively; The orientation angle value O, the field of view angle value F, the width value X, and the horizontal coordinate length value x are input into a preset direction calculation formula for calculation, thereby obtaining the direction value of the lightning shape feature based on the image acquisition unit.

5. The lightning location method of multiple physical parameters as claimed in claim 4, characterized in that: The image acquisition unit is provided with a first image acquisition module and a second image acquisition module, and the first image acquisition module and the second image acquisition module are connected to each other; Then the method of using the parallax positioning method to infer the lightning shape feature based on the distance value of the image acquisition unit specifically includes: Acquire a parallax distance between the first image acquisition module and the lightning shape feature, recorded as a first parallax distance m; Acquire a parallax distance between the second image acquisition module and the lightning shape feature, recorded as a second parallax distance n; Obtaining the focal length of the lens of the first image acquisition module and the second image acquisition module, recorded as focal length value f; Obtaining a distance between the first image acquisition module and the second image acquisition module, recorded as a distance value b; The distance value b, the focal length value f, the first parallax distance m, and the second parallax distance n are input into a preset distance calculation formula for calculation, so as to obtain the distance value between the lightning shape feature and the image acquisition unit.

6. A multi-physical parameter lightning location system, characterized in that: Including an image acquisition unit, the system comprises: an acquisition unit, used to acquire a detection image of a preset warning area, extract lightning shape features of the detection image, and record the area where the lightning shape features exist as a lightning preliminary screening area, wherein the lightning preliminary screening area is a circular area divided with the area where the lightning shape features exist as the center; A judgment unit, used to judge whether the lightning preliminary screening area is in a thunderstorm state; A positioning unit, used for acquiring the coordinate position of the lightning shape feature in the lightning preliminary screening area through the image acquisition unit, thereby forming lightning coordinate information; Wherein, the judgment unit is specifically used to: obtain historical weather information of the lightning initial screening area, the historical weather information includes thunderstorm weather and non-thunderstorm weather; obtain the first atmospheric electric field value of the lightning initial screening area during the thunderstorm weather, and record the high-frequency band energy ratio of the first atmospheric electric field value as a thunderstorm identification parameter; obtain the second atmospheric electric field value of the lightning initial screening area during the non-thunderstorm weather, and record the high-frequency band energy ratio of the second atmospheric electric field value as a non-thunderstorm identification parameter; judge whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameter and the non-thunderstorm identification parameter; Among them, the step of judging whether the lightning initial screening area is in a thunderstorm state according to the thunderstorm identification parameters and the non-thunderstorm identification parameters specifically includes: obtaining the atmospheric electric field value of the lightning initial screening area, and calculating the high-frequency band energy ratio of the atmospheric electric field value, which is recorded as an identification parameter; calculating the thunderstorm identification parameters and the non-thunderstorm identification parameters using a preset random forest algorithm to generate a threshold value; judging that when the identification parameter is greater than the threshold value, the lightning initial screening area is judged to be in the thunderstorm state, otherwise when the identification parameter is less than the threshold value, the lightning initial screening area is judged to be not in the thunderstorm state.

7. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the multi-physical parameter lightning location method according to any one of claims 1 to 5 when executing the computer program.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the multi-physical parameter lightning locating method according to any one of claims 1 to 5 are implemented.

Images