Thunderstorm cloud direction-based lightning early warning method and system, storage medium and equipment

Abstract

The invention provides a thunder and lightning early warning method and system based on a thunderstorm cloud direction, a storage medium and equipment. The method comprises the steps that the atmospheric electric field intensity is monitored in real time, real-time monitoring data are obtained, and the real-time monitoring data comprise the atmospheric electric field intensity value; determining an early warning grade based on the atmospheric electric field intensity value; if the early warning level meets a preset condition, predicting a thunderstorm cloud direction according to the real-time monitoring data; and according to the thunderstorm cloud direction, early warning a possible thunderbolt area, and outputting early warning information. According to the lightning early warning method, the early warning accuracy is improved.

Description

Technical Field

[0001] This invention belongs to the field of thunderstorm cloud monitoring technology, and particularly relates to a lightning early warning method, system, storage medium and device based on the direction of thunderstorm clouds. Background Technology

[0002] With the rapid development of the national economy, the demand for oil has increased dramatically. To ensure national energy security, my country has vigorously promoted the construction of national strategic and commercial oil reserves in recent years. Large oil tanks are usually built in open areas or coastal regions, without tall buildings nearby, making them extremely vulnerable to lightning strikes. Lightning can cause serious safety accidents such as explosions and fires, resulting in casualties and environmental pollution. To promptly detect lightning risks, provide early warnings, and prevent accidents, an efficient lightning early warning system is urgently needed. Traditional lightning early warning methods mainly rely on online monitoring of thunderclouds and lightning activity using equipment such as satellites and radar. However, providing early warnings of thunderstorm cloud direction in specific locations, such as around oil storage tanks, remains challenging and sometimes fails to meet the needs of these special locations.

[0003] Currently, conventional lightning warning methods involve observing the ground atmospheric electric field under clear weather conditions, as well as changes in the ground atmospheric electric field and lightning-induced ground atmospheric electric field under thunderstorm conditions, using an atmospheric electric field meter. This method primarily involves testing a single monitoring point using a single device, with the test data transmitted remotely for display. Large-scale applications of atmospheric electric field meters are typically atmospheric averaging electric field meters, such as MEMS atmospheric electric field meters and field-milled electric field meters.

[0004] However, this method lacks effective analysis and early warning of test data, and because it collects single-point monitoring data, it lacks prediction and early warning of the direction of thunderstorm clouds, and cannot reflect the movement trend of thunderstorm clouds in real time, resulting in low accuracy of early warning of lightning conditions. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a lightning warning method, system, storage medium, and device based on the direction of thunderstorm clouds. Based on real-time monitoring data, the warning level is determined. By analyzing and comparing the real-time monitoring data, the direction of thunderstorm clouds and the area where lightning is about to strike are predicted, and warning information is output. This reflects the movement trend of thunderstorm clouds, providing users with timely and accurate warning information and improving the accuracy of thunderstorm weather warnings.

[0006] This invention is achieved through the following technical solution:

[0007] Real-time monitoring of atmospheric electric field strength, obtaining real-time monitoring data, including atmospheric electric field strength values;

[0008] The warning level is determined based on the atmospheric electric field strength value;

[0009] If the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data;

[0010] Based on the direction of the thunderstorm cloud, a warning is issued regarding the area where lightning may strike, and the warning information is output.

[0011] Optional,

[0012] The real-time monitoring data also includes the location coordinates of the atmospheric electric field monitoring device and the collection area.

[0013] Optional,

[0014] The real-time monitoring of atmospheric electric field intensity and the acquisition of real-time monitoring data include:

[0015] By strategically deploying multiple atmospheric electric field monitoring devices, changes in atmospheric electric field strength are monitored in real time, and real-time monitoring data is obtained.

[0016] Optional,

[0017] The determination of the warning level based on the atmospheric electric field strength value includes:

[0018] Based on a pre-set warning threshold, a mapping relationship between the atmospheric electric field strength threshold and the warning level is established, and the warning level is determined based on the atmospheric electric field strength value.

[0019] Optional,

[0020] Based on the real-time monitoring data, the direction of thunderstorm clouds is predicted, including:

[0021] By setting up multiple consecutive time periods, and based on the atmospheric electric field intensity values ​​acquired in each time period, combined with the location coordinates of the corresponding atmospheric electric field monitoring device and the collection area, the trajectory of thunderstorm clouds is determined, the direction of thunderstorm clouds is predicted, and the areas that may be affected are identified.

[0022] Optional,

[0023] Based on the direction of the thunderstorm cloud, a warning is issued regarding the potential lightning strike area, and warning information is output, including:

[0024] If multiple atmospheric electric field intensity values ​​are obtained from the same atmospheric electric field monitoring device, it is determined that the thunderstorm cloud remains at its current location.

[0025] Determine whether the multiple atmospheric electric field intensity values ​​meet the preset lightning strike conditions. If the lightning strike conditions are met, predict that lightning will strike in the current area and generate an early warning message.

[0026] Optional,

[0027] The method further includes:

[0028] A multi-site circular deployment method is adopted, in which multiple atmospheric electric field monitoring devices are evenly arranged within a circular area, with the spacing between each atmospheric electric field monitoring device not exceeding its monitoring radius.

[0029] The present invention also provides a lightning warning system based on the direction of thunderstorm clouds, for implementing the aforementioned method, the system comprising:

[0030] The module includes a data communication module, a data storage and analysis module, a data display module, and a parameter configuration module.

[0031] The feature is that the data communication module is used to receive real-time monitoring data and package and send it to the data storage and analysis module;

[0032] The data storage and analysis module is used to determine the warning level based on the real-time monitoring data; if the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data; based on the direction of the thunderstorm cloud, a warning is issued for the possible lightning strike area, and warning information is output.

[0033] Optional,

[0034] The data storage and analysis module further includes: a data receiving unit, a data storage unit, a data processing unit, and an early warning information output unit.

[0035] Optional,

[0036] The data display module is also configured to:

[0037] The data received from the data storage and analysis module is displayed.

[0038] Optional,

[0039] The parameter configuration module is also configured to:

[0040] Configure the parameters of the system.

[0041] Optional,

[0042] The system is also configured to:

[0043] If the warning level does not meet the preset conditions, there is no need to predict the direction of the thunderstorm cloud; only the real-time monitoring data will be displayed.

[0044] The present invention also provides a computer-readable storage medium storing one or more programs, which, when executed, can realize the aforementioned lightning warning method based on the direction of thunderstorm clouds.

[0045] The present invention also provides a device, including a processor, a communication interface, a computer-readable storage medium, and a communication bus; wherein the processor, the communication interface, and the computer-readable storage medium communicate with each other through the communication bus;

[0046] The processor is used to execute programs stored in a computer-readable storage medium.

[0047] Compared with the prior art, the present invention has the following advantages:

[0048] 1. The lightning warning method based on the direction of thunderstorm clouds proposed in this invention determines the warning level based on real-time monitoring data, predicts the direction of thunderstorm clouds and the area where lightning is about to strike by analyzing and comparing the real-time monitoring data, and outputs warning information. It can reflect the movement trend of thunderstorm clouds, provide users with timely and accurate warning information, and improve the accuracy of thunderstorm weather warnings.

[0049] 2. By utilizing multiple atmospheric electric field monitoring devices that are reasonably deployed, the changes in atmospheric electric field intensity are monitored in real time. Time difference positioning technology is used to locate thunderstorm clouds. By analyzing and comparing the location coordinates, collection areas, and atmospheric electric field intensity values ​​of the atmospheric electric field monitoring devices obtained in real time, the direction of thunderstorm clouds and the areas that may be affected are predicted, thereby improving the level of lightning warning.

[0050] 3. By analyzing and judging the location of thunderstorm clouds and the changes in atmospheric electric field intensity, early warning of potential lightning strike areas can be issued and warning information can be output. Timely warning and alarm before lightning strikes can be issued, so that timely measures can be taken to reduce the risks and losses caused by lightning disasters and improve safety.

[0051] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 A flowchart illustrating a lightning warning method based on the direction of thunderstorm clouds is shown.

[0054] Figure 2 A schematic block diagram of a lightning warning system based on the direction of thunderstorm clouds is shown.

[0055] Figure 3 A schematic diagram of the functional modules of a lightning warning system according to an embodiment of the present invention is shown;

[0056] Figure 4 A schematic diagram of a circular layout of three atmospheric electric field monitoring devices according to an embodiment of the present invention is shown;

[0057] Figure 5 This diagram illustrates the direction of a typical thunderstorm cloud passing through a monitoring area where an atmospheric electric field monitoring device is deployed, according to an embodiment of the present invention.

[0058] Figure 6 A flowchart illustrating the lightning warning and thunderstorm cloud direction warning processing according to an embodiment of the present invention is shown.

[0059] Figure 7 This is a schematic diagram of the structure of a device according to an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] See appendix Figure 1 The method of the present invention includes:

[0062] S1. Real-time monitoring of atmospheric electric field strength, obtaining real-time monitoring data, wherein the real-time monitoring data includes: atmospheric electric field strength value;

[0063] The real-time monitoring data also includes: the location coordinates of the atmospheric electric field monitoring device and the data acquisition area.

[0064] Among these methods, multiple atmospheric electric field monitoring devices are strategically deployed to monitor changes in atmospheric electric field strength in real time and obtain real-time monitoring data.

[0065] In this method, a multi-site circular layout is adopted, in which multiple atmospheric electric field monitoring devices are evenly arranged in a circular area, and the spacing between each atmospheric electric field monitoring device is no greater than the monitoring radius of the atmospheric electric field monitoring device.

[0066] S2. Determine the warning level based on the atmospheric electric field strength value;

[0067] Specifically, a mapping relationship between atmospheric electric field strength threshold and warning level is established based on a pre-set warning threshold, and the warning level is determined based on the atmospheric electric field strength value.

[0068] S3. If the warning level meets the preset conditions, then predict the direction of the thunderstorm cloud based on the real-time monitoring data;

[0069] The method involves setting up multiple consecutive time periods. Based on the atmospheric electric field intensity values ​​acquired in each time period, combined with the location coordinates of the corresponding atmospheric electric field monitoring device and the collection area, the trajectory of thunderstorm clouds is determined, the direction of thunderstorm clouds is predicted, and the areas that may be affected are identified.

[0070] S4. Based on the direction of the thunderstorm cloud, issue an early warning of the possible lightning strike area and output the warning information.

[0071] If multiple atmospheric electric field intensity values ​​are obtained from the same atmospheric electric field monitoring device, it is determined that the thunderstorm cloud remains at its current location.

[0072] Determine whether the multiple atmospheric electric field intensity values ​​meet the preset lightning strike conditions. If the lightning strike conditions are met, predict that lightning will strike in the current area and generate an early warning message.

[0073] Specifically,

[0074] 1. Monitor the atmospheric electric field intensity in real time and obtain real-time monitoring data.

[0075] Real-time monitoring of atmospheric electric field strength, obtaining real-time monitoring data, including atmospheric electric field strength values.

[0076] Real-time monitoring data also includes the location coordinates of the atmospheric electric field monitoring device and the data collection area.

[0077] In this embodiment, atmospheric electric field monitoring devices are deployed in a reasonable manner to monitor changes in atmospheric electric field strength in real time and obtain real-time monitoring data.

[0078] A multi-site circular deployment method can be adopted, evenly arranging multiple atmospheric electric field monitoring devices within a circular area to maximize the monitoring range. This method can monitor lightning occurrence in the most critical lightning-prone areas of the target monitoring region and provide lightning early warning services to oil and petrochemical tank farms within the lightning warning monitoring coverage area.

[0079] In this embodiment, three atmospheric electric field monitoring devices s1, s2, and s3 are used as the smallest early warning unit and are evenly arranged in a circular area. The monitoring coverage areas of each atmospheric electric field monitoring device overlap, and the angle formed by the line connecting each atmospheric electric field monitoring device and the center of the circular area is 120°.

[0080] To improve the early warning effect of combined station deployment, the spacing between each atmospheric electric field monitoring device should not exceed the monitoring radius.

[0081] To improve the accuracy of early warnings and reduce the false alarm rate, different combinations of early warning thresholds can be set for each unit (3 units) of atmospheric electric field monitoring devices.

[0082] In this embodiment, the electric field data from the three atmospheric electric field monitoring devices are analyzed and compared before each warning is issued to determine the approximate direction of the thunderstorm cloud movement. Then, the corresponding warning criteria are activated. This three-device network method can avoid false alarms caused by human interference (the passage of objects with strong static electricity for a short period of time), further improving the accuracy of the warning.

[0083] II. Determine the warning level based on the atmospheric electric field strength value.

[0084] Determining the warning level based on the atmospheric electric field strength value includes:

[0085] Based on the pre-set warning threshold, a mapping relationship between atmospheric electric field strength threshold and warning level is established, and the warning level is determined based on the atmospheric electric field strength value.

[0086] Data processing algorithms are used to analyze and process real-time monitoring data.

[0087] S201. Obtain the atmospheric electric field strength value output by the atmospheric electric field monitoring device:

[0088] The atmospheric electric field strength value E output by the atmospheric electric field monitoring device is obtained by formula (1):

[0089]

[0090] Where E is the atmospheric electric field strength value; V is the output value of the sensor in the atmospheric electric field monitoring device; V0 is the zero-point calibration value of the sensor in the atmospheric electric field monitoring device; and K is the sensitivity coefficient of the sensor in the atmospheric electric field monitoring device.

[0091] The zero-point calibration value of the sensor is obtained by calculating using formula (2):

[0092]

[0093] The sensitivity coefficient of the sensor in the atmospheric electric field monitoring device can be obtained by calibration using the sensor manufacturer's specialized equipment, and is usually recorded in the sensor's instruction manual.

[0094] S202. Based on the pre-set warning threshold, establish a mapping relationship between the atmospheric electric field strength threshold and the warning level, and query the warning level mapped to the atmospheric electric field strength value.

[0095] In this embodiment, a warning threshold can be preset, for example, the warning threshold can be set to an atmospheric electric field strength value E greater than 2000V / m.

[0096] Based on the pre-set warning threshold, the mapping relationship between the atmospheric electric field intensity threshold and the warning level can be established as follows:

[0097]

[0098] Based on the mapping relationship between atmospheric electric field strength threshold and warning level, query the warning level corresponding to the atmospheric electric field strength value E obtained from the atmospheric electric field monitoring device.

[0099] 3. Predict the direction of thunderstorm clouds based on real-time monitoring data.

[0100] If the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data.

[0101] Based on the warning level, the direction of thunderstorm clouds is predicted by combining the atmospheric electric field intensity value with the location coordinates of the atmospheric electric field monitoring device and the collection area in the real-time monitoring data.

[0102] In this embodiment, the preset conditions can be: the warning level is Level 1 warning, Level 2 warning or alarm, that is, the atmospheric electric field strength value in the real-time monitoring data meets the preset warning threshold.

[0103] When the warning level is determined to be "Level 1 warning, Level 2 warning or alarm", the direction of the thunderstorm cloud is predicted based on the real-time monitoring data.

[0104] Based on the real-time monitoring data, the direction of thunderstorm clouds is predicted, including:

[0105] By setting up multiple consecutive time periods and using the atmospheric electric field intensity values ​​acquired in each time period, combined with the location coordinates of the corresponding atmospheric electric field monitoring device and the collection area, the electric field direction can be calculated based on the changes in the atmospheric electric field intensity values ​​over multiple consecutive time periods. This yields electric field direction data, which, combined with the location coordinates of the corresponding atmospheric electric field monitoring device and the collection area, allows for the determination of the thunderstorm cloud's trajectory, prediction of the thunderstorm cloud's direction, and identification of potentially affected areas.

[0106] In this embodiment, the atmospheric electric field intensity value received in the first time period, the corresponding location coordinates of the atmospheric electric field monitoring device, and the collection area are analyzed and processed to obtain the approximate direction of the thunderstorm cloud entering the tank area.

[0107] Specific situations may include:

[0108] Scenario 1:

[0109] If only one atmospheric electric field strength value is received within the set first time period, the approximate direction of the thunderstorm cloud entering the monitoring area can be obtained based on the collection area of ​​the atmospheric electric field monitoring device corresponding to that atmospheric electric field strength value.

[0110] For example:

[0111] If only the atmospheric electric field strength value E is received from the atmospheric electric field monitoring device S1 during the first time period... 11 If the signal is positive, it means that only the atmospheric electric field monitoring device S1 detected the thunderstorm cloud. Based on the collection area of ​​the atmospheric electric field monitoring device S1, the approximate direction of the thunderstorm cloud entering the monitoring area can be obtained.

[0112] Scenario 2:

[0113] If two atmospheric electric field intensity values ​​are received within the preset first time period, the approximate direction of the thunderstorm cloud entering the monitoring area can be obtained by comparing the received atmospheric electric field intensity values ​​and analyzing the overlapping areas of the corresponding atmospheric electric field monitoring device's collection area.

[0114] For example:

[0115] If, within the first time period, atmospheric electric field strength values ​​E are simultaneously or separately received from atmospheric electric field monitoring devices S1 and S2, 11 With E 12 This indicates that the thunderstorm cloud has entered the overlapping area of ​​the atmospheric electric field monitoring devices S1 and S2. Based on the overlapping area, the approximate direction of the thunderstorm cloud entering the monitoring area can be obtained.

[0116] Among them, the received atmospheric electric field intensity value E 11 With E 12 For comparison, if the atmospheric electric field strength value E 11 Greater than E 12 This indicates that the direction in which the thunderstorm cloud enters the monitoring area is roughly close to the location of the atmospheric electric field monitoring device S1; if the atmospheric electric field strength value E 11 Less than E 12 This indicates that the direction in which the thunderstorm cloud enters the monitoring area is roughly close to the location of the atmospheric electric field monitoring device S2; if the atmospheric electric field strength value E 11 With E 12 If they are the same, it means that the direction in which the thunderstorm cloud enters the monitoring area is roughly in the middle of the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2.

[0117] In this embodiment, the trajectory of the thunderstorm cloud can be determined based on the atmospheric electric field intensity value received during the second time period, the location coordinates of the corresponding atmospheric electric field monitoring device, the collection area, and the general direction of the thunderstorm cloud entering the monitoring area.

[0118] By analyzing the location coordinates and acquisition area of ​​the atmospheric electric field monitoring device corresponding to the atmospheric electric field intensity value, and by comparing the magnitude of the atmospheric electric field intensity value, the approximate current location of the thunderstorm cloud can be obtained, and thus the trajectory of the thunderstorm cloud can be determined.

[0119] The second time period is located after the first time period.

[0120] The following explains several specific situations that may occur:

[0121] Based on the above scenario one:

[0122] During the second time period, if only the atmospheric electric field strength value E sent by the atmospheric electric field monitoring device S1 is received... 21 This indicates that the thunderstorm cloud only moves within the collection area of ​​the atmospheric electric field monitoring device S1, and its trajectory does not enter the collection areas of the atmospheric electric field monitoring devices S2 and S3.

[0123] Based on the above scenario two:

[0124] (1) During the second time period, if only the atmospheric electric field strength value E sent by the atmospheric electric field monitoring device S1 is received... 21 This indicates that after the thunderstorm cloud entered the monitoring area from the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2, it moved to the collection area of ​​atmospheric electric field monitoring device S1, and its trajectory did not enter the collection areas of atmospheric electric field monitoring devices S2 and S3.

[0125] (2) During the second time period, if the atmospheric electric field strength value E sent by the atmospheric electric field monitoring devices S2 and S3 is received... 22 E 23 This indicates that after the thunderstorm cloud entered the monitoring area from the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2, it moved to the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S2 and S3, and its movement trajectory did not enter the collection area of ​​atmospheric electric field monitoring device S1. At this time, the atmospheric electric field value E can be... 22 E 23 Compare, if E 22 Greater than E 23 This indicates that after the thunderstorm cloud enters the tank area from the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2, when it moves to the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S2 and S3, its trajectory is closer to the position of atmospheric electric field monitoring device S2.

[0126] (3) During the second time period, if the atmospheric electric field strength value E sent by the atmospheric electric field monitoring devices S1, S2, and S3 is received... 21 E 22 E 23This indicates that the thunderstorm cloud entered the monitoring area from the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2, and then moved to the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1, S2, and S3. At this time, the atmospheric electric field intensity value E can be measured. 21 E 22 E 23 Compare, if E 21 Greater than E 22 E 23 This indicates that after the thunderstorm cloud enters the tank area from the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1 and S2, when it moves to the overlapping area of ​​the collection areas of atmospheric electric field monitoring devices S1, S2 and S3, its trajectory is closer to the position of atmospheric electric field monitoring device S1.

[0127] Based on the trajectory of thunderstorm clouds, the direction of thunderstorm clouds can be predicted, and areas that may be affected by thunderstorm clouds can be identified.

[0128] IV. Based on the direction of thunderstorm clouds, issue early warnings for areas where lightning is about to strike and output early warning information.

[0129] Based on the predicted direction of thunderstorm clouds, early warnings are issued for areas where lightning is about to strike, and timely warning information is provided in conjunction with received electric field intensity data:

[0130] If multiple atmospheric electric field intensity values ​​are continuously received from the same atmospheric electric field monitoring device, it indicates that the thunderstorm cloud remains at its current location.

[0131] Determine whether the multiple atmospheric electric field intensity values ​​meet the preset lightning strike conditions. If the lightning strike conditions are met, predict that lightning will strike in the current area and generate an early warning message.

[0132] In this embodiment, lightning strike conditions can be preset according to actual conditions, for example:

[0133] The N consecutively received atmospheric electric field intensity values ​​gradually increase; and / or,

[0134] Among N atmospheric electric field intensity values, there exists a predetermined number of atmospheric electric field intensity values ​​that are greater than a predetermined lightning strike intensity threshold; and / or

[0135] In the N atmospheric electric field intensity values, the last atmospheric electric field intensity value received is greater than the first atmospheric electric field intensity value.

[0136] The number of N can be set according to actual needs.

[0137] In this embodiment, if the warning level does not meet the preset conditions, that is, when the warning level is determined to be "normal", it is not necessary to predict the direction of the thunderstorm cloud, and only the real-time monitoring data is displayed.

[0138] That is, if the monitored atmospheric electric field strength value does not meet the pre-set warning threshold, there is no need to issue a warning about the direction of thunderstorm clouds and the lightning situation.

[0139] See appendix Figure 2 The diagram illustrates the structure of a lightning warning system based on the direction of a thunderstorm cloud for implementing the above method, including a data communication module, a data storage and analysis module, a data display module, and a parameter configuration module.

[0140] The data communication module is used to receive real-time monitoring data and package and send it to the data storage and analysis module.

[0141] The data storage and analysis module is used to determine the warning level based on the real-time monitoring data; if the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data; based on the direction of the thunderstorm cloud, a warning is issued for the possible lightning strike area, and warning information is output.

[0142] 1. Data communication module.

[0143] In this embodiment, the real-time monitoring data collected by the atmospheric electric field monitoring device is received through the data communication module and packaged and sent to the data storage and analysis module.

[0144] The data communication module can connect to the target device via wired or wireless networks, supporting suitable transmission methods such as RS232, RS485, and 4G / 5G wireless communication. It boasts high bandwidth and stable transmission capabilities, meeting the high-speed, reliable data transmission requirements of lightning warning systems. Specifically, RS232 communication is primarily used for field testing; RS485 communication is mainly used for long-distance outdoor wired communication; and 4G / 5G wireless communication is primarily used in installation environments where wired communication is not feasible. Furthermore, to ensure real-time signal performance and reliability, the data communication module also supports multi-channel redundancy technology.

[0145] In this embodiment, Table 1 shows the data protocol of the data communication module; Table 2 shows the frame types in the data protocol of the data communication module. The frames sent for communication are divided into two types: data frames and management frames; Table 3 shows the data fields in the data protocol of the data communication module. The data fields contain the data sent out by the data communication module. The types of data contained in the data fields are different depending on the frame type. Data frames contain electric field data, lightning direction and intensity data, time and other information, while management frames are mainly used to set some parameters of the device, such as device number, time calibration, sensitive element coefficient correction, etc.

[0146] Table 1

[0147]

[0148] Table 2

[0149]

[0150] Table 3

[0151]

[0152]

[0153] In this embodiment, the data communication module is also configured to perform data verification on the received real-time monitoring data. The data involved in the verification and calculation includes LENGTH and the data content, but excludes the synchronization header 0xB5 0x62.

[0154] The checksum can be calculated using an 8-bit Filcher algorithm:

[0155] Char Buffer[n] contains the data that needs to be validated and calculated;

[0156] Both CK_ values ​​are 8-bit unsigned integers, obtained by the following loop:

[0157] CK_A = 0, CK_B = 0

[0158] For(I = 0; I <N;++I)

[0159] {

[0160] CK_A+ = Buffer[i];

[0161] CK_B+ = CK_A;

[0162] }

[0163] In this embodiment, the real-time monitoring data collected by the atmospheric electric field monitoring device is processed through a data communication module, which can simplify communication commands and improve transmission efficiency, and is suitable for communication transmission between the atmospheric electric field monitoring device and the lightning monitoring and early warning system.

[0164] 2. Data storage and analysis module.

[0165] In this embodiment, the data storage and analysis module is used to determine the warning level based on the real-time monitoring data; if the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted according to the real-time monitoring data; and the possible lightning strike area is warned according to the direction of the thunderstorm cloud, and warning information is output.

[0166] By effectively storing and analyzing the received real-time monitoring data through the data storage and analysis module, and implementing the aforementioned lightning warning method based on the direction of thunderstorm clouds based on the real-time monitoring data, the integrity and consistency of the data can be ensured. Through efficient data processing algorithms, the accuracy and real-time performance of the lightning warning system can be improved.

[0167] The data storage and analysis module includes: a data receiving unit, a data storage unit, a data processing unit, and an early warning information output unit.

[0168] The data receiving unit is used to receive real-time monitoring data, including: atmospheric electric field intensity values, location coordinates of the atmospheric electric field monitoring device, and the collection area, etc.

[0169] The data storage unit is used to store the received real-time monitoring data, ensuring long-term data preservation and easy retrieval. The data storage unit can use high-performance storage devices, such as solid-state drives and RAID-configured hard disk arrays, to provide high reliability and fast data read and write capabilities.

[0170] The data processing unit is used to analyze and process the stored real-time monitoring data. Through data mining and pattern recognition using algorithms, the accuracy and timeliness of early warnings can be improved.

[0171] In this embodiment, the data processing unit includes data preprocessing, feature extraction, outlier detection, and early warning model calculation.

[0172] Data preprocessing: The data packets sent by the data communication module are split to extract data information such as atmospheric electric field intensity value, location coordinates of atmospheric electric field monitoring device, and collection area from the real-time monitoring data.

[0173] Feature extraction: Based on the feature identifiers in different signals, the atmospheric electric field intensity value, the location coordinates of the atmospheric electric field monitoring device, and the acquisition area are extracted respectively.

[0174] Outlier detection: Check whether the data packet sent by the data communication module includes three types of data information: atmospheric electric field strength value, location coordinates of the atmospheric electric field monitoring device, and collection area. If any missing information is found, the received data is considered incomplete.

[0175] Early warning model calculation: Through algorithmic data mining and pattern recognition of real-time monitoring data, the early warning level is determined, the direction of thunderstorm clouds is predicted, and the area where lightning may strike is warned.

[0176] Warning information output: Based on the calculation results of the warning model, warning information is generated and sent to the user as a notification or alarm. Warning information output can include output methods such as audible and visual alarm devices, displays, and push notifications from mobile devices.

[0177] In this embodiment, different warning levels can be set according to the warning level, for example:

[0178] When the electric field strength is ≤2000V / m, green is displayed and "normal" is output;

[0179] When 2000V / m < electric field strength ≤ 4000V / m, a yellow indicator is displayed, and a "Level 1 warning" is output.

[0180] When 4000V / m < electric field strength ≤ 8000V / m, an orange indicator is displayed, and a "Level 2 warning" is output.

[0181] When the electric field strength is >8000V / m, the display is red and an "alarm" is output.

[0182] 3. Data display module.

[0183] In this embodiment, the data display module presents the data collected in the data storage and analysis module to the user in an intuitive and easy-to-read manner. Through the data display module, users can clearly understand the real-time situation and make corresponding responses and decisions.

[0184] The data display module includes: a data extraction unit and a display interface.

[0185] Data extraction unit: Converts the data in the data storage and analysis module into a data format suitable for display, and performs operations such as data cleaning and integration to obtain formatted data.

[0186] Formatted data can be displayed as a dynamic graph in the software window, and also through a scrolling terminal. The dynamic graph can be saved as an image, and historical data and graphs can be viewed by accessing a database.

[0187] The display interface can use charts, satellite maps, dashboards, and other formats to present formatted data with different display elements and visual effects. Users can interact with the interface to select different time ranges, geographical regions, and other parameters for data display.

[0188] 4. Parameter configuration module.

[0189] In this embodiment, the monitoring range and warning threshold of the lightning warning system based on the direction of thunderstorm clouds are configured through a parameter configuration module. Users can adjust the sensitivity and coverage of the lightning warning system according to actual conditions, improving the applicability and accuracy of the warning system to meet the needs of different application scenarios.

[0190] The parameter configuration module can be used to configure parameters such as serial port or network port connection information, early warning thresholds, persistent data storage location, and the x and y axis ranges of dynamic curves, and save user-defined software configurations to meet the needs of different application scenarios.

[0191] The parameter configuration module includes: a parameter setting interface, a parameter configuration unit, and a parameter storage unit.

[0192] The parameter setting interface allows users to set and adjust the parameters of the lightning warning system, including key parameters such as connection configuration, graph configuration, threshold configuration, and storage configuration.

[0193] The parameter configuration unit is used to configure the lightning warning system according to the parameter configuration information set by the user in the parameter setting interface.

[0194] The parameter storage unit is used to store the parameter configuration information set by the user, ensuring that the parameters can be correctly applied after the system restarts or is redeployed.

[0195] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0196] Figure 3 This is a schematic diagram of the functional modules of a lightning warning system according to an embodiment of the present invention. The functional modules of the lightning warning system include: a data communication module, a data storage and analysis module, a data display module, and a parameter configuration module.

[0197] The data communication module includes: data transmission, data verification, command sending, and data processing.

[0198] The data storage and analysis module includes: database and data analysis;

[0199] The data display module includes: images, line graphs, scrolling terminals, early warning displays, and data display;

[0200] The parameter configuration module includes: connection configuration, graph configuration, threshold configuration, and storage configuration.

[0201] Figure 4 This is a schematic diagram of a circular deployment of three atmospheric electric field monitoring devices according to an embodiment of the present invention. The three atmospheric electric field monitoring devices s1, s2, and s3 are used as the smallest early warning unit, and their positions are shown in the figure. To maximize the monitoring range and improve the accuracy of the early warning, the three atmospheric electric field monitoring devices are evenly arranged within a circular area, with the angle between the line connecting each atmospheric electric field monitoring device and the center of the circular area being 120°. The monitoring radius of each atmospheric electric field monitoring device is approximately 10 km. To improve the early warning effect of the combined deployment, the spacing between the atmospheric electric field monitoring devices is set to no more than 10 km.

[0202] Figure 5 This is a schematic diagram illustrating the direction of a typical thunderstorm cloud passing through a monitoring area where an atmospheric electric field monitoring device is deployed, according to an embodiment of the present invention. The directions in which a typical thunderstorm cloud passes through the monitoring area where the atmospheric electric field monitoring device is deployed include the following:

[0203] The direction of movement of the thunderstorm cloud cluster is in a straight line with an atmospheric electric field monitoring device (s1) and the center of the monitoring area;

[0204] The intersection point of the outer contour of the area where the direction of movement of the thunderstorm cloud cluster overlaps with the collection range of the two atmospheric electric field monitoring devices (s1, s2) and the center of the monitoring area are on a straight line;

[0205] Thunderstorm clouds randomly pass through the monitored area (except for the two situations mentioned above).

[0206] Figure 6 The flowchart of lightning warning and thunderstorm cloud direction warning processing according to an embodiment of the present invention includes:

[0207] The lightning warning system has begun processing and is performing system initialization.

[0208] Real-time monitoring data is acquired through the data communication module and persisted through data storage.

[0209] The electric field data in the real-time monitoring data is processed to confirm the warning level and determine whether lightning is likely to occur.

[0210] If it is determined that lightning will occur, the electric field strength data and the location information of the data source are sent. The electric field direction data is obtained through analysis and processing to predict the direction of the thunderstorm cloud.

[0211] If it is determined that no lightning will occur, only the electric field strength data from the real-time monitoring data will be sent to display the warning level and the electric field strength data;

[0212] Based on the data analysis and processing results, an early warning will be issued.

[0213] The electric field data includes: atmospheric electric field intensity values, the location coordinates of the corresponding atmospheric electric field monitoring device, and the data collection area.

[0214] Furthermore, embodiments of the present invention also provide a lightning warning device based on the direction of thunderstorm clouds, comprising:

[0215] The module includes a data communication module, a data storage and analysis module, a data display module, and a parameter configuration module.

[0216] The feature is that the data communication module receives real-time monitoring data and packages it for transmission to the data storage and analysis module;

[0217] The data storage and analysis module determines the warning level based on the real-time monitoring data; if the warning level meets the preset conditions, it predicts the direction of the thunderstorm cloud based on the real-time monitoring data; based on the direction of the thunderstorm cloud, it issues a warning about the possible lightning strike area and outputs the warning information.

[0218] Based on the same inventive concept, the present invention also provides a computer-readable storage medium storing one or more programs, which, when executed, can realize the aforementioned lightning warning method based on the direction of thunderstorm clouds.

[0219] like Figure 7 As shown in the illustration, this embodiment of the invention also provides a device, including a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus.

[0220] The memory is a computer-readable storage medium used to store one or more programs.

[0221] The processor is configured to execute a program stored in a computer-readable storage medium.

[0222] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments; or it may exist independently and not assembled into the device / apparatus.

[0223] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A lightning warning method based on the direction of thunderstorm clouds, characterized in that, include: Real-time monitoring of atmospheric electric field strength, obtaining real-time monitoring data, including atmospheric electric field strength values; The warning level is determined based on the atmospheric electric field strength value; If the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data; Based on the direction of the thunderstorm cloud, a warning is issued regarding the area where lightning may strike, and the warning information is output.

2. The method according to claim 1, characterized in that, The real-time monitoring data also includes the location coordinates of the atmospheric electric field monitoring device and the collection area.

3. The method according to claim 1, characterized in that, The real-time monitoring of atmospheric electric field intensity and the acquisition of real-time monitoring data include: By strategically deploying multiple atmospheric electric field monitoring devices, changes in atmospheric electric field strength are monitored in real time, and real-time monitoring data is obtained.

4. The method according to claim 1, characterized in that, The determination of the warning level based on the atmospheric electric field strength value includes: Based on a pre-set warning threshold, a mapping relationship between the atmospheric electric field strength threshold and the warning level is established, and the warning level is determined based on the atmospheric electric field strength value.

5. The method according to claim 2, characterized in that, Based on the real-time monitoring data, the direction of thunderstorm clouds is predicted, including: By setting up multiple consecutive time periods, and based on the atmospheric electric field intensity values ​​acquired in each time period, combined with the location coordinates of the corresponding atmospheric electric field monitoring device and the collection area, the trajectory of thunderstorm clouds is determined, the direction of thunderstorm clouds is predicted, and the areas that may be affected are identified.

6. The method according to any one of claims 1-5, characterized in that, Based on the direction of the thunderstorm cloud, a warning is issued regarding the potential lightning strike area, and warning information is output, including: If multiple atmospheric electric field intensity values ​​are obtained from the same atmospheric electric field monitoring device, it is determined that the thunderstorm cloud remains at its current location. Determine whether the multiple atmospheric electric field intensity values ​​meet the preset lightning strike conditions. If the lightning strike conditions are met, predict that lightning will strike in the current area and generate an early warning message.

7. The method according to any one of claims 1-5, characterized in that, The method further includes: A multi-site circular layout is adopted, in which multiple atmospheric electric field monitoring devices are evenly arranged in a circular area, and the spacing between each atmospheric electric field monitoring device is no greater than the monitoring radius of the atmospheric electric field monitoring device.

8. A lightning warning system based on the direction of thunderstorm clouds, the system comprising: The module includes a data communication module, a data storage and analysis module, a data display module, and a parameter configuration module. The feature is that the data communication module is used to receive real-time monitoring data and package and send it to the data storage and analysis module; The data storage and analysis module is used to determine the warning level based on the real-time monitoring data; if the warning level meets the preset conditions, the direction of the thunderstorm cloud is predicted based on the real-time monitoring data; based on the direction of the thunderstorm cloud, a warning is issued for the possible lightning strike area, and warning information is output.

9. The system according to claim 8, characterized in that, The data storage and analysis module further includes: a data receiving unit, a data storage unit, a data processing unit, and an early warning information output unit.

10. The system according to claim 8, characterized in that, The data display module is also configured to: The data received from the data storage and analysis module is displayed.

11. The system according to claim 8, characterized in that, The parameter configuration module is also configured to: Configure the parameters of the system.

12. The system according to any one of claims 8-11, characterized in that, The system is also configured to: If the warning level does not meet the preset conditions, there is no need to predict the direction of the thunderstorm cloud; only the real-time monitoring data will be displayed.

13. A computer-readable storage medium storing one or more programs, characterized in that, When one or more of these programs are executed, the lightning warning method based on the direction of thunderstorm clouds as described in any one of claims 1-7 can be implemented.

14. An electronic device comprising a processor, a communication interface, a computer-readable storage medium as described in claim 13, and a communication bus; wherein, The processor, communication interface, and computer-readable storage medium communicate electronically with each other via a communication bus; characterized in that... The processor is used to execute programs stored in a computer-readable storage medium.

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