Intelligent monitoring method and system for thunderstorm propagation path in high-altitude area

Abstract

The invention discloses an intelligent monitoring method and system for a thunderstorm propagation path in a high-altitude area, and the method comprises the steps: detecting the thunderstorm propagation path of the high-altitude area when the thunderstorm weather of the high-altitude area is detected; performing regional thunderstorm characteristic analysis according to the interval duration between the thunderstorm weather generation moment and the thunderstorm occurrence moment in the thunderstorm weather period, the increase span of the thunderstorm number and the maximum duration of the thunderstorm peak number in the thunderstorm region, and judging the influence degree of the current thunderstorm weather in the thunderstorm region; according to the thunderstorm occurrence frequency of the same path in the thunderstorm generation area in the thunderstorm weather time period and the position movement deviation value of the thunderstorm generation area, propagation path analysis is carried out, the current thunderstorm path propagation influence degree in the thunderstorm weather time period is determined, and then corresponding protection measures are taken for the thunderstorm area. The technical problems that the thunderstorm weather influence degree and the thunderstorm path propagation influence degree cannot be analyzed in the prior art, so that the thunderstorm path early warning efficiency is reduced, and accurate monitoring cannot be carried out are solved.

Description

Technical Field

[0001] The present application relates to the field of thunderstorm analysis technology, and in particular to a method and system for intelligently monitoring thunderstorm propagation paths in high-altitude areas. Background Art

[0002] Thunderstorms are local convective weather accompanied by thunder and lightning. They must occur in strong cumulonimbus clouds, so they are often accompanied by strong showers or rainstorms, sometimes accompanied by hail and tornadoes. They are severe convective weather systems. Thunderstorms occur when the atmosphere is unstable and can produce a large amount of rain or ice crystals.

[0003] However, in the prior art, it is impossible to analyze the impact of thunderstorm weather and the impact of thunderstorm path propagation when monitoring the thunderstorm propagation path, so that the efficiency of thunderstorm path warning is reduced and accurate monitoring cannot be performed. Summary of the invention

[0004] The present application provides a method and system for intelligently monitoring thunderstorm propagation paths in high-altitude areas, which is used to solve the technical problem that the existing technology is unable to analyze the impact of thunderstorm weather and the impact of thunderstorm path propagation, resulting in reduced efficiency of thunderstorm path warning and inability to accurately monitor.

[0005] In view of this, the first aspect of the present application provides a method for intelligently monitoring thunderstorm propagation paths in high altitude areas, comprising:

[0006] When it is detected that the high sea wave area is in thunderstorm weather, the regional thunderstorm characteristic analysis is performed according to the interval between the generation time of thunderstorm weather and the appearance time of thunderstorm in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms, and the thunderstorm characteristic analysis coefficient of the thunderstorm area is obtained;

[0007] By comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value of the thunderstorm area, the influence degree of the current thunderstorm weather in the thunderstorm area is judged;

[0008] According to the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area, the propagation path analysis is carried out to determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period;

[0009] Take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

[0010] Optionally, a thunderstorm characteristic analysis is performed in the thunderstorm area according to the interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms, to obtain thunderstorm characteristic analysis coefficients of the thunderstorm area, including:

[0011] The interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms are input into the regional thunderstorm characteristic analysis model to perform regional thunderstorm characteristic analysis, and obtain the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is:

[0012]

[0013] Where F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; JCS is the interval between the generation time of thunderstorm weather and the appearance time of thunderstorm in the thunderstorm area during the thunderstorm weather period; ZZK is the growth span of the number of thunderstorms in the thunderstorm area during the thunderstorm weather period; ZXS is the maximum duration of the peak number of thunderstorms in the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor.

[0014] Optionally, by comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area, determining the influence degree of the current thunderstorm weather in the thunderstorm area includes:

[0015] Comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value in the thunderstorm area;

[0016] If the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact degree of the current thunderstorm weather in the thunderstorm area is high;

[0017] If the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low.

[0018] Optionally, a propagation path analysis is performed based on the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to determine the degree of propagation influence of the current thunderstorm path during the thunderstorm weather period, including:

[0019] The thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area are compared with the frequency threshold and the position movement deviation threshold respectively;

[0020] If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is low;

[0021] If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is greater than the position movement deviation threshold, it is determined that the current thunderstorm path propagation impact degree during the thunderstorm weather period is high.

[0022] Optionally, the method further includes:

[0023] Obtain the position deviation value between the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistency frequency between the predicted propagation path and the real-time propagation path in the same period, and the area deviation value between the area where the real-time propagation path is located and the area where the predicted propagation path is located in the thunderstorm area;

[0024] The position deviation value of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistent frequency of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value of the area where the real-time propagation path in the thunderstorm area is located and the area where the predicted propagation path is located are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained;

[0025] comparing the propagation path warning coefficient of the thunderstorm region with a propagation path warning coefficient threshold;

[0026] If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and the characteristics of the thunderstorm area are re-analyzed.

[0027] Optionally, the propagation path early warning model is:

[0028]

[0029] Where D is the propagation path warning coefficient of the thunderstorm area; WP is the position deviation between the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area; PL is the inconsistency frequency between the predicted propagation path and the real-time propagation path in the same period; MP is the area deviation between the real-time propagation path and the predicted propagation path in the thunderstorm area; gf1, gf2 and gf3 are all preset proportional coefficients, and gf1>gf2>gf3>1; α is the error correction coefficient.

[0030] The second aspect of the present application provides an intelligent monitoring system for thunderstorm propagation paths in high altitude areas, comprising:

[0031] The server is used to generate a regional thunderstorm characteristic analysis signal and send it to the regional thunderstorm characteristic analysis module when detecting that the high sea wave area is in thunderstorm weather;

[0032] The regional thunderstorm characteristic analysis module is used to obtain the interval between the time when the thunderstorm weather occurs and the time when the thunderstorm appears in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms to perform regional thunderstorm characteristic analysis after receiving the regional thunderstorm characteristic analysis signal, and generate a thunderstorm characteristic analysis coefficient for the thunderstorm area; by comparing the thunderstorm characteristic analysis coefficient of the thunderstorm area with the thunderstorm characteristic threshold, determine the impact degree of the current thunderstorm weather in the thunderstorm area, and generate a thunderstorm weather impact degree signal to send to the server;

[0033] The server is further used to generate a propagation path analysis signal and send it to the path propagation analysis module;

[0034] The path propagation analysis module is used to obtain the thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to perform propagation path analysis, determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period, and generate a thunderstorm path propagation influence degree signal to send to the server;

[0035] The server is also used to take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

[0036] Optionally, the regional thunderstorm characteristics analysis module is specifically used for:

[0037] The interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms are input into the regional thunderstorm characteristic analysis model to perform regional thunderstorm characteristic analysis, and obtain the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is:

[0038]

[0039] Where, F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; JCS is the interval between the time when the thunderstorm weather occurs and the time when the thunderstorm appears in the thunderstorm weather period; ZZK is the growth span of the number of thunderstorms in the thunderstorm area during the thunderstorm weather period; ZXS is the maximum duration of the peak number of thunderstorms in the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor;

[0040] Comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value in the thunderstorm area;

[0041] If the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact degree of the current thunderstorm weather in the thunderstorm area is high;

[0042] If the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low.

[0043] Optionally, the path propagation analysis module is specifically used for:

[0044] The thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area are compared with the frequency threshold and the position movement deviation threshold respectively;

[0045] If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is low;

[0046] If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is greater than the position movement deviation threshold, it is determined that the current thunderstorm path propagation impact degree during the thunderstorm weather period is high.

[0047] Optionally, the system further includes: a propagation path early warning module, configured to:

[0048] Obtain the position deviation value between the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistency frequency between the predicted propagation path and the real-time propagation path in the same period, and the area deviation value between the area where the real-time propagation path is located and the area where the predicted propagation path is located in the thunderstorm area;

[0049] The position deviation value of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistent frequency of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value of the area where the real-time propagation path in the thunderstorm area is located and the area where the predicted propagation path is located are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained;

[0050] comparing the propagation path warning coefficient of the thunderstorm region with a propagation path warning coefficient threshold;

[0051] If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and the characteristics of the thunderstorm area are re-analyzed.

[0052] It can be seen from the above technical solutions that this application has the following advantages:

[0053] The intelligent monitoring method for thunderstorm propagation paths in high-altitude areas provided by the present application can analyze the regional thunderstorm characteristics of the thunderstorm area, determine whether the impact of thunderstorm weather in the current area is controllable, and avoid the problem that the impact of thunderstorm weather is too great, causing the passage in the thunderstorm area to be affected, and the early warning cannot be given in time, resulting in the maximization of the impact of thunderstorm weather; the propagation of thunderstorm paths in the thunderstorm area can be analyzed to determine whether the impact of thunderstorm propagation in the current thunderstorm area is controllable, and the predictability of thunderstorm propagation can be analyzed, so as to facilitate the accurate prediction of the impact of thunderstorm weather in the current thunderstorm area, improve the rationality and accuracy of thunderstorm early warning in the thunderstorm area, so that safety protection against thunderstorm weather can be given in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 A flowchart of a method for intelligently monitoring thunderstorm propagation paths in high altitude areas provided in an embodiment of the present application;

[0056] Figure 2 A structural schematic diagram of an intelligent monitoring system for thunderstorm propagation paths in high altitude areas provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0058] For easier understanding, please refer to Figure 1 In a first aspect, the present application provides a method for intelligently monitoring thunderstorm propagation paths in high altitude areas, comprising:

[0059] Step 110: When it is detected that the high-sea-wave area is in thunderstorm weather, a regional thunderstorm characteristic analysis is performed based on the interval between the time when the thunderstorm weather occurs and the time when the thunderstorm appears in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms to obtain a thunderstorm characteristic analysis coefficient for the thunderstorm area.

[0060] When it is detected that the high sea wave area is in thunderstorm weather, the propagation path of the thunderstorm area is monitored in real time, so as to monitor and warn the propagation path in real time to prevent the propagation path in the thunderstorm area from affecting the operation of equipment or vehicle traffic in the area. Specifically, the area where thunderstorm weather occurs is marked as a thunderstorm area, and the interval time JGS between the time when the thunderstorm weather occurs and the time when the thunderstorm occurs in the thunderstorm area, the growth span ZZK of the number of thunderstorms in the thunderstorm weather generation period in the thunderstorm area, and the maximum duration ZXS of the peak number of thunderstorms in the thunderstorm area are obtained. The maximum duration of the peak number of thunderstorms is the maximum duration of the corresponding occurrence of the peak number of thunderstorms. For example, if there are ten thunderstorms at the peak at time A and ten thunderstorms at the peak at time B, then the duration from time A to time B is the duration of the peak number of thunderstorms; the interval time between the time when the thunderstorm weather occurs and the time when the thunderstorm occurs in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms are input into the regional thunderstorm characteristic analysis model for regional thunderstorm characteristic analysis to obtain the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is:

[0061]

[0062] Where F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor.

[0063] Step 120: By comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area, the influence degree of the current thunderstorm weather in the thunderstorm area is determined.

[0064] Compare the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area; if the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is high, and the current thunderstorm area can be marked as a high thunderstorm impact area; if the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low, and the current thunderstorm area can be marked as a low thunderstorm impact area.

[0065] By analyzing the regional thunderstorm characteristics of the thunderstorm area, we can determine whether the impact of the thunderstorm weather in the current thunderstorm area is controllable, so as to avoid the thunderstorm weather affecting the traffic in the thunderstorm area due to excessive impact, and the failure to issue timely warnings, which will maximize the impact of the thunderstorm weather.

[0066] Step 130: Perform propagation path analysis based on the thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to determine the degree of propagation influence of the current thunderstorm path during the thunderstorm weather period.

[0067] The frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area are obtained to perform propagation path analysis, determine whether the degree of thunderstorm propagation in the current thunderstorm area is controllable, and analyze the predictability of thunderstorm propagation, so as to accurately predict the impact of thunderstorm weather in the current thunderstorm area, improve the rationality and accuracy of thunderstorm warnings in the thunderstorm area, so that safety protection against thunderstorm weather can be carried out in time.

[0068] Specifically, the frequency of thunderstorm occurrence on the same path in the thunderstorm generating area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generating area are compared with the frequency threshold and the position movement deviation threshold respectively; if the frequency of thunderstorm occurrence on the same path in the thunderstorm generating area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generating area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period is low; if the frequency of thunderstorm occurrence on the same path in the thunderstorm generating area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generating area during the thunderstorm weather period is greater than the position movement deviation threshold, then it is determined that the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period is high.

[0069] Step 140: Take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

[0070] If the impact of the current thunderstorm weather in the thunderstorm area is high and / or the impact of the current thunderstorm path propagation during the thunderstorm weather period is high, it is necessary to issue an early warning for the current thunderstorm area and control the passage within the current thunderstorm area; if the impact of the current thunderstorm weather in the thunderstorm area is low, and the impact of the current thunderstorm path propagation during the thunderstorm weather period is low, an early warning can be issued for the current thunderstorm area.

[0071] Furthermore, it is possible to issue propagation path warnings for thunderstorm areas and conduct efficiency evaluations on real-time thunderstorm forecasting and control, to avoid large deviations in path forecasts within thunderstorm areas, which can lead to low protection efficiency in thunderstorm areas and affect travel in thunderstorm weather in the area.

[0072] The position deviation value WP of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area and the inconsistent frequency PL of the predicted propagation path and the real-time propagation path in the same period are obtained; and the area deviation value MP of the area where the real-time propagation path is located and the predicted propagation path in the thunderstorm area are obtained; the position deviation value WP of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area and the inconsistent frequency PL of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value MP of the area where the real-time propagation path in the thunderstorm area and the predicted propagation path are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained; wherein the propagation path warning model is:

[0073]

[0074] Wherein, D is the propagation path warning coefficient of the thunderstorm area; gf1, gf2 and gf3 are all preset proportional coefficients, and gf1>gf2>gf3>1; α is the error correction coefficient, when the influence of the current thunderstorm weather in the thunderstorm area is high and the influence of the current thunderstorm path propagation during the thunderstorm weather period is high, α is 0.8; when the influence of the current thunderstorm weather in the thunderstorm area is high or the influence of the current thunderstorm path propagation during the thunderstorm weather period is high, α is 0.9; when the influence of the current thunderstorm weather in the thunderstorm area is low and the influence of the current thunderstorm path propagation during the thunderstorm weather period is low, α is 1.2; when the influence of the current thunderstorm weather in the thunderstorm area is low or the influence of the current thunderstorm path propagation during the thunderstorm weather period is low, α is 1.1.

[0075] The propagation path warning coefficient of the thunderstorm area obtained is compared with the propagation path warning coefficient threshold. If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and it is necessary to re-analyze the characteristics of the thunderstorm area and control the passage in the thunderstorm area; if the propagation path warning coefficient of the thunderstorm area obtained is less than or equal to the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is high. This application performs propagation path warning analysis on the thunderstorm area after the characteristic analysis, and infers that the path prediction efficiency is low through coefficient comparison, that is, there is a deviation between the real-time path and the predicted path, then it is necessary to re-analyze the characteristics of the thunderstorm area, that is, analyze whether the thunderstorm area is a high-impact area or a low-impact area, and re-divide the regional impact degree, because the real-time path deviates too much from the prediction and cannot be controlled; on the contrary, if the prediction efficiency is high, then the corresponding predictions of the previous characteristic analysis of the area are reasonable and controllable.

[0076] The intelligent monitoring method for thunderstorm propagation paths in high-altitude areas provided in the present application can analyze the regional thunderstorm characteristics of the thunderstorm area, determine whether the impact of thunderstorm weather in the current area is controllable, and avoid the problem that the impact of thunderstorm weather is too great, causing the passage in the thunderstorm area to be affected, and the early warning cannot be issued in time, resulting in the maximization of the impact of thunderstorm weather; the thunderstorm path propagation in the thunderstorm area can be analyzed to determine whether the impact of thunderstorm propagation in the current thunderstorm area is controllable, and the predictability of thunderstorm propagation can be analyzed to facilitate accurate prediction of the impact of thunderstorm weather in the current thunderstorm area, thereby improving the rationality and accuracy of thunderstorm early warning in the thunderstorm area, so that safety protection can be provided for thunderstorm weather in time; early warning of propagation paths is issued for thunderstorm areas, and efficiency evaluation of real-time thunderstorm prediction and control is performed to avoid large deviations in path predictions in the thunderstorm area, resulting in low protection efficiency in the thunderstorm area, affecting travel in thunderstorm weather in the area.

[0077] Please refer to Figure 2 The second aspect of the present application provides an intelligent monitoring system for thunderstorm propagation paths in high-altitude areas, including: a server, the server is communicatively connected with a path propagation analysis module, a propagation path warning module and a regional thunderstorm characteristic analysis module, wherein the server is bidirectionally communicated with the path propagation analysis module, the propagation path warning module and the regional thunderstorm characteristic analysis module.

[0078] The server is used to generate a regional thunderstorm characteristic analysis signal and send it to the regional thunderstorm characteristic analysis module when detecting that the high sea wave area is in thunderstorm weather;

[0079] The regional thunderstorm characteristic analysis module is used to obtain the interval between the time when the thunderstorm weather occurs and the time when the thunderstorm appears in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms to perform regional thunderstorm characteristic analysis after receiving the regional thunderstorm characteristic analysis signal, and generate a thunderstorm characteristic analysis coefficient for the thunderstorm area; by comparing the thunderstorm characteristic analysis coefficient of the thunderstorm area with the thunderstorm characteristic threshold, the influence degree of the current thunderstorm weather in the thunderstorm area is judged, and a thunderstorm weather influence degree signal is generated and sent to the server;

[0080] The server is further used to generate a propagation path analysis signal and send it to the path propagation analysis module;

[0081] The path propagation analysis module is used to obtain the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to perform propagation path analysis, determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period, and generate a thunderstorm path propagation influence degree signal to send to the server;

[0082] The server is also used to take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

[0083] When the high-wave area is in thunderstorm weather, this system monitors the propagation path of the thunderstorm area in real time, so as to facilitate real-time monitoring and early warning of the propagation path, and prevent the propagation path in the thunderstorm area from affecting the operation of equipment in the area or the risk of vehicle traffic. When the server detects that the high-wave area is in thunderstorm weather, it generates a regional thunderstorm characteristic analysis signal and sends it to the regional thunderstorm characteristic analysis module; after receiving the regional thunderstorm characteristic analysis signal, the regional thunderstorm characteristic analysis module performs a regional thunderstorm characteristic analysis on the thunderstorm area to determine whether the impact of the thunderstorm weather in the current area is controllable, so as to avoid the excessive impact of the thunderstorm weather, which affects the traffic in the thunderstorm area, and the failure to issue an early warning in time, which maximizes the impact of the thunderstorm weather.

[0084] The regional thunderstorm characteristic analysis module marks the area where thunderstorm weather occurs as a thunderstorm area, obtains the interval time JGS between the time when thunderstorm weather occurs and the time when thunderstorm appears in the thunderstorm area, the growth span ZZK of the number of thunderstorms in the thunderstorm weather generation period in the thunderstorm area, and the maximum duration ZXS of the peak number of thunderstorms in the thunderstorm area; inputs the interval time between the time when thunderstorm weather occurs and the time when thunderstorm appears in the thunderstorm area, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms in the thunderstorm weather period into the regional thunderstorm characteristic analysis model for regional thunderstorm characteristic analysis, and obtains the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is:

[0085]

[0086] Where, F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor;

[0087] The regional thunderstorm characteristic analysis module compares the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area; if the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is high, and the current thunderstorm area is marked as a thunderstorm high impact area. At the same time, a high impact signal is generated and the high impact signal and the number of the corresponding thunderstorm high impact area are sent to the server; if the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low, and the current thunderstorm area is marked as a thunderstorm low impact area. At the same time, a low impact signal is generated and the low impact signal and the number of the corresponding thunderstorm low impact area are sent to the server.

[0088] After receiving the high-impact signal and the number of the corresponding thunderstorm high-impact area, or the low-impact signal and the number of the corresponding thunderstorm low-impact area, the server generates a path propagation analysis signal and sends the path propagation analysis signal to the path propagation analysis module. After receiving the path propagation analysis signal, the path propagation analysis module analyzes the thunderstorm path propagation in the thunderstorm area, determines whether the degree of thunderstorm propagation impact in the current thunderstorm area is controllable, and analyzes the predictability of thunderstorm propagation, so as to accurately predict the impact of thunderstorm weather in the current thunderstorm area, improve the rationality and accuracy of thunderstorm warnings in the thunderstorm area, so that safety protection against thunderstorm weather can be carried out in time.

[0089] The path propagation analysis module compares the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area with the frequency threshold and the position movement deviation threshold respectively; if the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is low, and an easy-to-control propagation signal is generated and sent to the server; if the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is greater than the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is high, and a difficult-to-control propagation signal is generated and sent to the server.

[0090] If the impact degree of the current thunderstorm weather in the thunderstorm area received by the server is high and / or the impact degree of the current thunderstorm path propagation during the thunderstorm weather period is high, an early warning is issued for the current thunderstorm area and the passage within the current thunderstorm area is controlled; if the impact degree of the current thunderstorm weather in the thunderstorm area received by the server is low, and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period is low, an early warning can be issued for the current thunderstorm area.

[0091] Furthermore, the server is also used to generate a propagation path warning signal and send the propagation path warning signal to the propagation path warning module. After receiving the propagation path warning signal, the propagation path warning module issues a propagation path warning for the thunderstorm area, and performs efficiency evaluation on real-time thunderstorm prediction and control to avoid large deviations in path prediction in the thunderstorm area, resulting in low protection efficiency in the thunderstorm area and affecting travel in the thunderstorm weather area.

[0092] The propagation path warning module obtains the position deviation value WP of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, as well as the inconsistent frequency PL of the predicted propagation path and the real-time propagation path in the same period; and obtains the area deviation value MP of the area where the real-time propagation path is located and the area where the predicted propagation path is located in the thunderstorm area; the position deviation value WP of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, as well as the inconsistent frequency PL of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value MP of the area where the real-time propagation path is located and the predicted propagation path are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained; wherein the propagation path warning model is:

[0093]

[0094] Where D is the propagation path warning coefficient of the thunderstorm area; gf1, gf2 and gf3 are all preset proportional coefficients, and gf1>gf2>gf3>1; α is the error correction coefficient. When the server receives a high-impact signal and a difficult-to-control propagation signal, α is 0.8; when the server receives a high-impact signal or a difficult-to-control propagation signal, α is 0.9; when the server receives a low-impact signal and an easily controllable propagation signal, α is 1.2; when the server receives a low-impact signal or an easily controllable propagation signal, α is 1.1.

[0095] The propagation path warning module compares the acquired propagation path warning coefficient of the thunderstorm area with the propagation path warning coefficient threshold. If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and a propagation path warning signal is generated and sent to the server. After receiving the propagation path warning signal, the server re-analyzes the characteristics of the thunderstorm area and controls the passage in the thunderstorm area; if the acquired propagation path warning coefficient of the thunderstorm area is less than or equal to the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is high, and a propagation path continuous monitoring signal is generated and sent to the server.

[0096] The intelligent monitoring system for thunderstorm propagation paths in high-altitude areas provided by the present application can analyze the regional thunderstorm characteristics of the thunderstorm area, determine whether the impact of thunderstorm weather in the current area is controllable, and avoid the problem that the impact of thunderstorm weather is too great, causing the passage in the thunderstorm area to be affected, and the early warning cannot be issued in time, resulting in the maximization of the impact of thunderstorm weather; the thunderstorm path propagation in the thunderstorm area can be analyzed to determine whether the impact of thunderstorm propagation in the current thunderstorm area is controllable, and the predictability of thunderstorm propagation can be analyzed to facilitate accurate prediction of the impact of thunderstorm weather in the current thunderstorm area, thereby improving the rationality and accuracy of thunderstorm early warning in the thunderstorm area, so that safety protection can be provided for thunderstorm weather in time; early warning of propagation paths is provided for thunderstorm areas, and efficiency evaluation of real-time thunderstorm prediction and control is performed to avoid large deviations in path predictions in the thunderstorm area, resulting in low protection efficiency in the thunderstorm area, affecting travel in thunderstorm weather in the area.

[0097] A third aspect of the present application provides an electronic device, the device comprising a processor and a memory;

[0098] The memory is used to store the program code and transmit the program code to the processor;

[0099] The processor is used to execute the intelligent monitoring method of thunderstorm propagation path in high altitude area in the aforementioned method embodiment according to the instructions in the program code.

[0100] A fourth aspect of the present application provides a computer-readable storage medium, which is used to store program codes. When the program codes are executed by a processor, the intelligent monitoring method for thunderstorm propagation paths in high-altitude areas in the aforementioned method embodiment is implemented.

[0101] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0102] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0103] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions for executing all or part of the steps of the method described in each embodiment of the present application through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0107] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for intelligently monitoring thunderstorm propagation paths in high altitude areas, characterized in that: include: When it is detected that the high sea wave area is in thunderstorm weather, the regional thunderstorm characteristic analysis is performed according to the interval between the generation time of thunderstorm weather and the appearance time of thunderstorm in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms, and the thunderstorm characteristic analysis coefficient of the thunderstorm area is obtained; By comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value of the thunderstorm area, the influence degree of the current thunderstorm weather in the thunderstorm area is judged; According to the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area, the propagation path analysis is carried out to determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period; Take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

2. The intelligent monitoring method for thunderstorm propagation paths in high altitude areas according to claim 1 is characterized in that: The thunderstorm characteristics of the region are analyzed based on the interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms. The thunderstorm characteristics analysis coefficients of the thunderstorm area are obtained, including: The interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms are input into the regional thunderstorm characteristic analysis model to perform regional thunderstorm characteristic analysis, and obtain the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is: Where F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; JCS is the interval between the generation time of thunderstorm weather and the appearance time of thunderstorm in the thunderstorm area during the thunderstorm weather period; ZZK is the growth span of the number of thunderstorms in the thunderstorm area during the thunderstorm weather period; ZXS is the maximum duration of the peak number of thunderstorms in the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor.

3. The intelligent monitoring method for thunderstorm propagation paths in high altitude areas according to claim 1 is characterized in that: By comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area, the influence degree of the current thunderstorm weather in the thunderstorm area is judged, including: Comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value in the thunderstorm area; If the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact degree of the current thunderstorm weather in the thunderstorm area is high; If the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low.

4. The intelligent monitoring method for thunderstorm propagation paths in high altitude areas according to claim 1 is characterized in that: The propagation path analysis is performed based on the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period, including: The thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area are compared with the frequency threshold and the position movement deviation threshold respectively; If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is low; If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is greater than the position movement deviation threshold, it is determined that the current thunderstorm path propagation impact degree during the thunderstorm weather period is high.

5. The intelligent monitoring method for thunderstorm propagation paths in high altitude areas according to claim 1 is characterized in that: The method further comprises: Obtain the position deviation value between the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistency frequency between the predicted propagation path and the real-time propagation path in the same period, and the area deviation value between the area where the real-time propagation path is located and the area where the predicted propagation path is located in the thunderstorm area; The position deviation value of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistent frequency of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value of the area where the real-time propagation path in the thunderstorm area is located and the area where the predicted propagation path is located are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained; comparing the propagation path warning coefficient of the thunderstorm region with a propagation path warning coefficient threshold; If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and the characteristics of the thunderstorm area are re-analyzed.

6. The intelligent monitoring method for thunderstorm propagation paths in high altitude areas according to claim 5 is characterized in that: The propagation path early warning model is: Where D is the propagation path warning coefficient of the thunderstorm area; WP is the position deviation between the predicted propagation path and the real-time propagation path in the thunderstorm area at the same time; PL is the inconsistent frequency between the predicted propagation path and the real-time propagation path in the same period; MP is the area deviation between the real-time propagation path and the predicted propagation path in the thunderstorm area; gf1, gf2 and gf3 are all preset proportional coefficients, and gf1>gf2>gf3>1; α is the error correction coefficient.

7. An intelligent monitoring system for thunderstorm propagation paths in high altitude areas, characterized in that: include: The server is used to generate a regional thunderstorm characteristic analysis signal and send it to the regional thunderstorm characteristic analysis module when detecting that the high sea wave area is in thunderstorm weather; The regional thunderstorm characteristic analysis module is used to obtain the interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms to perform regional thunderstorm characteristic analysis and generate a thunderstorm characteristic analysis coefficient for the thunderstorm area after receiving the regional thunderstorm characteristic analysis signal; By comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold of the thunderstorm area, the influence degree of the current thunderstorm weather in the thunderstorm area is determined, and a thunderstorm weather influence degree signal is generated and sent to the server; The server is further used to generate a propagation path analysis signal and send it to the path propagation analysis module; The path propagation analysis module is used to obtain the thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area to perform propagation path analysis, determine the degree of influence of the current thunderstorm path propagation during the thunderstorm weather period, and generate a thunderstorm path propagation influence degree signal to send to the server; The server is also used to take corresponding protective measures for the thunderstorm area according to the impact degree of the current thunderstorm weather in the thunderstorm area and the impact degree of the current thunderstorm path propagation during the thunderstorm weather period.

8. The intelligent monitoring system for thunderstorm propagation paths in high altitude areas according to claim 7 is characterized in that: The regional thunderstorm characteristics analysis module is specifically used for: The interval between the time when thunderstorm weather occurs and the time when thunderstorms appear in the thunderstorm area during the thunderstorm weather period, the growth span of the number of thunderstorms, and the maximum duration of the peak number of thunderstorms are input into the regional thunderstorm characteristic analysis model to perform regional thunderstorm characteristic analysis, and obtain the thunderstorm characteristic analysis coefficient of the thunderstorm area; the regional thunderstorm characteristic analysis model is: Where, F is the thunderstorm characteristic analysis coefficient of the thunderstorm area; JCS is the interval between the time when the thunderstorm weather occurs and the time when the thunderstorm appears in the thunderstorm area during the thunderstorm weather period; ZZK is the growth span of the number of thunderstorms in the thunderstorm area during the thunderstorm weather period; ZXS is the maximum duration of the peak number of thunderstorms in the thunderstorm area; s1, s2, and s3 are all preset proportional coefficients, and s1>s2>s3>0; β is the error correction factor; Comparing the thunderstorm characteristic analysis coefficient and the thunderstorm characteristic threshold value in the thunderstorm area; If the thunderstorm characteristic analysis coefficient of the thunderstorm area is greater than the thunderstorm characteristic threshold, it is determined that the impact degree of the current thunderstorm weather in the thunderstorm area is high; If the thunderstorm characteristic analysis coefficient of the thunderstorm area is less than or equal to the thunderstorm characteristic threshold, it is determined that the impact of the current thunderstorm weather in the thunderstorm area is low.

9. The intelligent monitoring system for thunderstorm propagation paths in high altitude areas according to claim 7, characterized in that: The path propagation analysis module is specifically used for: The thunderstorm occurrence frequency of the same path in the thunderstorm generation area during the thunderstorm weather period and the position movement deviation value of the thunderstorm generation area are compared with the frequency threshold and the position movement deviation threshold respectively; If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is greater than the frequency threshold, and the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is less than or equal to the position movement deviation threshold, then it is determined that the current thunderstorm path propagation impact during the thunderstorm weather period is low; If the frequency of thunderstorms on the same path in the thunderstorm generation area during the thunderstorm weather period is less than or equal to the frequency threshold, or the position movement deviation value of the thunderstorm generation area during the thunderstorm weather period is greater than the position movement deviation threshold, it is determined that the current thunderstorm path propagation impact degree during the thunderstorm weather period is high.

10. The intelligent monitoring system for thunderstorm propagation paths in high altitude areas according to claim 7, characterized in that: The system further comprises: a propagation path early warning module, which is used to: Obtain the position deviation value between the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistency frequency between the predicted propagation path and the real-time propagation path in the same period, and the area deviation value between the area where the real-time propagation path is located and the area where the predicted propagation path is located in the thunderstorm area; The position deviation value of the predicted propagation path and the real-time propagation path at the same time in the thunderstorm area, the inconsistent frequency of the predicted propagation path and the real-time propagation path in the same period, and the area deviation value of the area where the real-time propagation path in the thunderstorm area is located and the area where the predicted propagation path is located are input into the propagation path warning model for propagation path warning, and the propagation path warning coefficient of the thunderstorm area is obtained; comparing the propagation path warning coefficient of the thunderstorm region with a propagation path warning coefficient threshold; If the propagation path warning coefficient of the thunderstorm area is greater than the propagation path warning coefficient threshold, it is determined that the propagation path prediction efficiency in the thunderstorm area is low, and the characteristics of the thunderstorm area are re-analyzed.

Images