CN113466570A - Lightning early warning method and lightning early warning device - Google Patents
Lightning early warning method and lightning early warning device Download PDFInfo
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- CN113466570A CN113466570A CN202110843633.9A CN202110843633A CN113466570A CN 113466570 A CN113466570 A CN 113466570A CN 202110843633 A CN202110843633 A CN 202110843633A CN 113466570 A CN113466570 A CN 113466570A
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Abstract
The invention provides a lightning early warning method which comprises the following steps: detecting atmospheric electric field parameters of a target space; judging whether the atmospheric electric field parameters reach electric field early warning conditions or not; if the electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space; if the electric field early warning condition is met, starting a radar to scan cloud layer parameters of a cloud layer; acquiring a cloud layer hazard degree coefficient based on cloud layer parameters; judging whether the cloud layer damage degree coefficient reaches a cloud layer parameter early warning condition or not; if the cloud layer parameter early warning condition is met, pushing an early warning signal; and if the cloud layer parameter early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space. According to the lightning early warning method, the atmospheric electric field detection is carried out firstly, and then the radar is carried out to detect the cloud layer parameters under the condition that the atmospheric electric field detection meets the preset conditions. Whether lightning early warning is needed or not is judged more accurately through comprehensive detection results, and meanwhile detection efficiency is improved.
Description
Technical Field
The invention relates to the field of lightning early warning, in particular to a lightning early warning method and lightning early warning equipment.
Background
Thunder and lightning is an atmospheric discharge phenomenon generated in strong convection weather, and has short discharge time and huge energy. The heat energy generated by the strong current of the thunder, the high-frequency electromagnetic field generated by the area around the thunder, the strong thunder wave and the like can generate huge damage in a moment, which can cause casualties, damage communication equipment, damage buildings, cause the open circuit of a power distribution device and cause fire and the like. Therefore, the early warning is accurately and timely carried out before the lightning happens, and the method has important significance for protecting the life and property safety of people. However, the formation of the lightning is influenced by many factors, such as geographical and geological features, climatic features, changes of surrounding environment and the like of the occurrence area, and the characteristics of instantaneous occurrence of the lightning, which bring difficulty to accurate early warning of the lightning. At present, an atmospheric electric field instrument is adopted to detect the atmospheric electric field intensity so as to carry out lightning early warning, but the lightning early warning is not accurate and timely because the lightning early warning is difficult to accurately locate the specific occurrence position of the lightning.
Disclosure of Invention
In view of this, the present invention aims to provide an accurate and efficient lightning early warning method and lightning early warning device.
In order to achieve the purpose of the invention, the invention provides a lightning early warning method, which is characterized by comprising the following steps: detecting atmospheric electric field parameters of a target space; judging whether the atmospheric electric field parameters reach electric field early warning conditions or not; if the electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space; if the electric field early warning condition is met, starting a radar to scan cloud layer parameters of a cloud layer; acquiring a cloud layer hazard degree coefficient based on cloud layer parameters; judging whether the cloud layer damage degree coefficient reaches a cloud layer parameter early warning condition or not; if the cloud layer parameter early warning condition is met, pushing an early warning signal; and if the cloud layer parameter early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
Optionally, the cloud parameters include dBz as echo strength of radar detection, h as the cloud-above-ground height,
is the distance between the cloud layer and the radar; the step of calculating the cloud layer hazard degree coefficient based on the cloud layer parameters specifically comprises the following steps: according to the function between the cloud layer hazard degree coefficient and the cloud layer parameterNumerical relationship
Acquiring cloud layer hazard degree coefficients; wherein, delta is cloud layer damage degree coefficient, and k is empirical parameter.
Optionally, the step of determining whether the cloud layer hazard degree coefficient parameter reaches the cloud layer parameter early warning condition specifically includes: judging whether the cloud layer damage degree coefficient parameter delta is larger than or equal to the cloud layer damage degree coefficient threshold deltaiWherein the cloud layer parameter early warning condition is a preset cloud layer hazard degree coefficient threshold value deltai。
Optionally, before the step of pushing an early warning signal if the cloud layer parameter early warning condition is reached, the lightning early warning method further includes: and generating a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient.
Optionally, the step of determining whether the atmospheric electric field parameter reaches an electric field early warning condition further includes: judging whether the atmospheric electric field parameters reach a primary electric field early warning condition or not; if the first-level electric field early warning condition is met, starting a radar to scan cloud layer parameters of a cloud layer if the electric field early warning condition is met, and further comprising the following steps of: starting the radar to periodically scan the cloud layer parameters at preset time intervals; and if the primary electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
Optionally, the step of determining whether the atmospheric electric field parameter reaches an electric field early warning condition further includes: if the primary electric field early warning condition is met, judging whether the atmospheric electric field parameter meets a secondary electric field early warning condition; if the secondary electric field early warning condition is met, adjusting the radar to be in an uninterrupted scanning mode; and if the secondary electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
Optionally, the step of determining whether the atmospheric electric field parameter reaches an electric field early warning condition further includes: if the secondary electric field early warning condition is met, judging whether a preset license exists in a pushed target unit;
if the preset license exists, entering the step to generate a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient; if the preset license does not exist, judging whether the atmospheric electric field parameters reach a three-level electric field early warning condition or not; if the three-level electric field early warning condition is met, entering the step to generate a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient; and if the three-level electric field early warning condition is not met, returning to the step for detecting the atmospheric electric field parameters of the target space.
Optionally, the electric field early warning condition is a preset atmospheric electric field parameter threshold, the primary electric field early warning condition is a preset primary atmospheric electric field parameter threshold, the secondary electric field early warning condition is a preset secondary atmospheric electric field parameter threshold, the tertiary electric field early warning condition is a preset tertiary atmospheric electric field parameter threshold, and the primary atmospheric electric field parameter threshold, the secondary atmospheric electric field parameter threshold and the tertiary atmospheric electric field parameter threshold are sequentially increased; the step of judging whether the atmospheric electric field parameters reach electric field early warning conditions specifically comprises the following steps: and judging whether the atmospheric electric field parameter is greater than or equal to the atmospheric electric field parameter threshold value.
Optionally, after the step of pushing an early warning signal if the cloud layer parameter early warning condition is met, the lightning early warning method further includes: judging whether the early warning signal is continuously pushed or not; if the judgment result is yes, returning to the step, and if the cloud layer parameter early warning condition is reached, pushing an early warning signal; if the judgment result is negative, the early warning signal is cancelled.
The invention also provides lightning early warning equipment. The lightning early warning device comprises: the atmospheric electric field instrument is used for detecting atmospheric electric field parameters of a target space; the radar is used for detecting cloud layer parameters of a cloud layer in the target space; the at least one processor is used for realizing each program and controlling the atmospheric electric field instrument and the radar to carry out detection operation; at least one memory for storing at least one program; the at least one program, when executed by the at least one processor, causes the lightning early warning device to implement any of the methods described above.
According to the thunder early warning method, the atmospheric electric field detection is firstly carried out, and then the radar is used for detecting the cloud layer parameters under the condition that the atmospheric electric field detection meets the preset conditions, so that on one hand, the comprehensive atmospheric electric field detection and the radar detection result of the cloud layer parameters are more accurately judged whether thunder early warning is needed, and on the other hand, the detection efficiency is improved by the mode of carrying out the atmospheric electric field detection and then carrying out the radar detection. In addition, the invention further provides a specific mode of obtaining the cloud layer hazard degree coefficient based on the cloud layer parameters detected by the radar, so that the lightning early warning judgment based on the cloud layer parameters is more accurately carried out. The invention also provides a three-level judgment mode aiming at the electric field early warning condition judgment, and provides a corresponding radar scanning mode and a preset license mode of an area or an object needing important early warning respectively based on the three-level judgment mode. The radar scanning modes can be distinguished, so that resources can be saved, and the efficiency can be improved; the preset license mode can provide higher early warning level for areas or objects needing important early warning, more rapid early warning sensitivity and ensure the safety protection effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments will be briefly described below, and it is apparent that the drawings in the following description only relate to some embodiments of the present invention and are not limiting on the present invention.
Fig. 1 is a schematic diagram of an early warning scene of a lightning early warning device according to an embodiment of the present invention.
Fig. 2 is a schematic structural view of the lightning early warning device shown in fig. 1.
Fig. 3 is a schematic flow chart of a lightning early warning method according to an embodiment of the present invention.
Fig. 4 is a schematic diagram illustrating a relative relationship between cloud layer risk coefficient and echo intensity detected by the radar in the embodiment of fig. 3.
Fig. 5 is a schematic diagram illustrating a relative relationship between the cloud-based risk coefficient and the cloud-based ground height in the embodiment of fig. 3.
Fig. 6 is a schematic diagram illustrating a relative relationship between the cloud layer hazard level coefficient and the distance between the cloud layer and the radar in the embodiment of fig. 3.
Fig. 7 is a schematic flow chart of a lightning early warning method according to another embodiment of the present invention.
FIG. 8 is a schematic diagram of the grading of atmospheric electric field parameters employed in the present invention.
Detailed Description
In order to make the objects, 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 drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
Fig. 1 illustrates a lightning early warning scenario of a lightning early warning device 800 according to an embodiment of the present invention. The lightning early warning device 800 is configured to detect an atmospheric electric field parameter of the target space 700 and a cloud layer parameter of the cloud layer 900, so as to early warn a lightning occurrence condition of the target space 700. Referring collectively to fig. 2, lightning early warning device 800 includes a processor 802, a memory 804, an atmospheric electric field instrument 806, and a radar 808. The processor 802 is used to implement various programs. Memory 804 is used to store at least one program that, when executed by processor 802, may implement lightning early warning method provided by the present invention by lightning early warning device 800. The atmospheric electric field meter 806 is used to detect atmospheric electric field parameters of the target space 700 under the control of the processor 802. The radar 808 is used to detect cloud parameters of the cloud 900 under control of the processor 802.
Referring further to fig. 3, a lightning early warning method according to an embodiment of the present invention specifically includes the following steps 102-118.
And 104, judging whether the atmospheric electric field parameters reach electric field early warning conditions or not. The electric field early warning condition is a preset atmospheric electric field parameter threshold value. In this embodiment, the atmospheric electric field parameter threshold is set according to past empirical values. In other embodiments, the atmospheric electric field parameter threshold may also be calculated by performing data statistics on the atmospheric parameter threshold over a period of time. The specific way of judging whether the atmospheric electric field parameters reach the electric field early warning condition is as follows: and judging whether the atmospheric electric field parameter is greater than or equal to the atmospheric electric field parameter threshold value. If the atmospheric electric field parameter is greater than or equal to the atmospheric electric field parameter threshold value, an electric field early warning condition is achieved; and if the atmospheric electric field parameter is smaller than the atmospheric electric field parameter threshold value, the atmospheric electric field early warning condition is not reached. If the atmospheric electric field parameter reaches the electric field warning condition, step 106 is entered, and step 112 is entered at the same time. And if the atmospheric electric field parameters do not reach the electric field early warning condition, returning to the step 102. Referring to fig. 8, the atmospheric electric field parameter in the present embodiment is the atmospheric electric field strength. The electric field intensity threshold value is selected to be 1.5kv/m, when the detected atmospheric electric field intensity is greater than or equal to 1.5kv/m, the electric field early warning condition is reached, and when the detected atmospheric electric field intensity is less than 1.5kv/m, the electric field early warning condition is not reached.
And step 106, if the atmospheric electric field parameters reach the electric field early warning condition, starting the radar to scan cloud layer parameters of the target space. In this embodiment, the cloud layer parameters include: echo intensity dBz detected by radar, ground clearance h of cloud layer, and distance between cloud layer and radar
。
And step 108, acquiring cloud layer hazard degree coefficients based on the cloud layer parameters. In this embodiment, the functional relationship between the cloud layer risk coefficient and the cloud layer parameter is
Wherein, delta is cloud layer damage program coefficient, k is empirical parameter, dBz is echo intensity detected by radar, h is cloud layer ground clearance,
is the distance between the cloud and the radar. The radar obtains the height h of the cloud layer from the ground, the echo intensity dBz detected by the radar and the distance between the cloud layer and the radar through scanning
And then, acquiring a cloud layer hazard degree coefficient delta through the functional relation.
The functional relationship between the cloud risk coefficient and the cloud parameter can be seen in fig. 4-6. As shown in fig. 4, the higher the echo intensity dBz detected by the radar, the larger the cloud damage program coefficient δ, the higher the probability of occurrence of a lightning stroke and the higher the degree of danger generated upon occurrence of a lightning stroke. When the echo intensity dBz detected by the radar is greater than 45, the probability of occurrence of a lightning stroke is high, and when the echo intensity dBz detected by the radar is greater than 50, the probability of occurrence of a lightning stroke is extremely high. As shown in fig. 5, the lower the cloud ground clearance, the larger the cloud damage program coefficient δ is, which indicates that the threat of lightning strike to the ground object is larger, and the cloud ground clearance range of the general emphasis detection is between 500m and 5000 m. As shown in fig. 6, the shorter the distance between the cloud layer and the radar is, the larger the cloud layer damage coefficient δ is, which indicates that the threat of the lightning strike to the ground object is larger, and the distance between the cloud layer and the radar which is mainly detected is generally in the range of 1km-20 km.
And step 110, judging whether the cloud layer damage degree coefficient reaches a cloud layer parameter early warning condition. If yes, the method continues to determine whether the cloud layer hazard degree coefficient reaches the cloud layer parameter early warning condition, and can integrate the detection results of the atmospheric electric field detection and the radar on the cloud layer parameters to more accurately determine whether the lightning early warning is needed. The specific way of judging whether the cloud layer hazard degree coefficient reaches the cloud layer parameter early warning condition is as follows: judging whether the cloud layer damage degree coefficient delta isGreater than or equal to cloud layer hazard level coefficient threshold deltaiIf the cloud layer damage degree coefficient delta is larger than or equal to the cloud layer damage degree coefficient threshold deltaiIf the cloud layer damage degree coefficient delta is smaller than the cloud layer damage degree coefficient threshold delta, the cloud layer parameter early warning condition is reachediAnd if not, the cloud layer parameter early warning condition is not reached. And if the cloud layer parameter early warning condition is not met, returning to the step 102. If the cloud layer detection judgment result in the step 110 is that the cloud layer parameter early warning condition is not met, radar scanning needs to be continuously performed to detect subsequent cloud layer parameters. If the cloud layer parameter early warning condition is reached, go to step 112.
And step 112, generating a radar early warning map based on the atmospheric electric field parameters, the cloud layer parameters and the cloud layer hazard degree coefficient. The radar early warning map displays the position of the cloud layer and corresponding position parameters, and the atmospheric electric field parameters are displayed on the map so as to provide more vivid and visual thunder early warning information.
And step 116, judging whether the early warning signal needs to be continuously pushed or not. If a continuous push is required, return to step 114. If continuous push is not required, step 118 is entered.
And step 118, canceling the early warning signal.
Referring to fig. 7, a lightning early warning method according to another embodiment of the present invention specifically includes the following steps 202-228.
And 204, judging whether the atmospheric electric field parameters reach a primary electric field early warning condition. Wherein, the primary electric field early warning condition is a preset primary atmospheric electric field parameter threshold. In this embodiment, the primary atmospheric electric field parameter threshold is set according to past empirical values. In other embodiments, the primary atmospheric electric field parameter threshold may also be calculated by performing data statistics on the primary atmospheric parameter threshold over a period of time. The specific way of judging whether the atmospheric electric field parameter reaches the first-level electric field early warning condition is as follows: and judging whether the atmospheric electric field parameter is greater than or equal to the primary atmospheric electric field parameter threshold value. If the atmospheric electric field parameter is greater than or equal to the primary atmospheric electric field parameter threshold value, a primary electric field early warning condition is achieved; and if the atmospheric electric field parameter is smaller than the primary atmospheric electric field parameter threshold value, the primary electric field early warning condition is not reached. If the atmospheric electric field parameter reaches the first-level electric field warning condition, step 206 is performed, and step 208 is performed at the same time. And if the atmospheric electric field parameters do not reach the first-level electric field early warning condition, returning to the step 202.
Referring to fig. 8, the atmospheric electric field parameter in the present embodiment is the atmospheric electric field strength. The threshold value of the first-level electric field intensity is selected to be 1.5kv/m, when the detected atmospheric electric field intensity is greater than or equal to 1.5kv/m, the first-level electric field early warning condition is achieved, and when the detected atmospheric electric field intensity is less than 1.5kv/m, the first-level electric field early warning condition is not achieved.
And step 206, if the atmospheric electric field parameters reach the first-level electric field early warning condition, starting the radar to periodically scan the cloud layer parameters of the target space at preset time intervals. In this embodiment, the cloud layer parameters include: echo intensity dBz detected by radar, ground clearance h of cloud layer, and distance between cloud layer and radar
。
And step 208, judging whether the atmospheric electric field parameters reach the secondary electric field early warning condition. And the secondary electric field early warning condition is a preset secondary atmospheric electric field parameter threshold value. In this embodiment, the secondary atmospheric electric field parameter threshold is set according to past empirical values. In other embodiments, the secondary atmospheric electric field parameter threshold may also be calculated by performing data statistics on the secondary atmospheric parameter threshold over a period of time. The specific way of judging whether the atmospheric electric field parameter reaches the secondary electric field early warning condition is as follows: and judging whether the atmospheric electric field parameter is greater than or equal to the secondary atmospheric electric field parameter threshold value. If the atmospheric electric field parameter is greater than or equal to the secondary atmospheric electric field parameter threshold value, the secondary electric field early warning condition is reached; and if the atmospheric electric field parameter is smaller than the secondary atmospheric electric field parameter threshold value, the secondary electric field early warning condition is not reached. If the atmospheric electric field parameter reaches the secondary electric field warning condition, step 210 is entered, and step 216 is entered at the same time. And if the atmospheric electric field parameters do not reach the secondary electric field early warning condition, returning to the step 202.
Referring to fig. 8, the secondary electric field strength threshold is selected to be 2kv/m, when the detected atmospheric electric field strength is greater than or equal to 2kv/m, the secondary electric field early warning condition is reached, and when the detected atmospheric electric field strength is less than 2kv/m, the secondary electric field early warning condition is not reached yet.
And step 212, acquiring cloud layer hazard degree coefficients based on the cloud layer parameters. In this embodiment, the functional relationship between the cloud layer risk coefficient and the cloud layer parameter is
Wherein, delta is cloud layer damage program coefficient, k is empirical parameter, dBz is echo intensity detected by radar, h is cloud layer ground clearance,
is the distance between the cloud and the radar. The radar obtains the height h of the cloud layer from the ground, the echo intensity dBz detected by the radar and the distance between the cloud layer and the radar through scanning
And then, acquiring a cloud layer hazard degree coefficient delta through the functional relation. The functional relationship between the cloud risk coefficient and the cloud parameter can be seen in fig. 4-6.
And step 216, if the atmospheric electric field parameter reaches the secondary electric field early warning condition, judging whether the pushing target unit has a preset license. If the preset license exists, go to step 220; if no license is preset, step 218 is entered. For the important monitoring of the lightning strike condition, timely early warning is ensured, and areas or objects with improved safety protection levels, such as schools, gas stations and the like, can be handled with preset licenses at the lightning early warning equipment 800. When the atmospheric electric field parameters reach the second-level electric field early warning condition, the early warning judgment program can be carried out, and the early warning judgment program does not need to be started until the third-level electric field early warning condition, so that the early warning level can be improved, the early warning sensitivity is more rapid, and the safety protection effect is ensured.
Referring to fig. 8, the threshold of the tertiary electric field strength is selected to be 3kv/m, when the detected atmospheric electric field strength is greater than or equal to 3kv/m, the tertiary electric field early warning condition is reached, and when the detected atmospheric electric field strength is less than 3kv/m, the tertiary electric field early warning condition is not reached yet.
And step 214, judging whether the cloud layer damage degree coefficient reaches the cloud layer parameter early warning condition. In case the determination in the preamble step 220 is yes, the process continuesWhether the cloud layer damage degree coefficient reaches the cloud layer parameter early warning condition is judged, the detection results of the atmospheric electric field detection and the radar to the cloud layer parameters can be integrated, and whether lightning early warning is needed or not is judged more accurately. The specific way of judging whether the cloud layer hazard degree coefficient reaches the cloud layer parameter early warning condition is as follows: judging whether the cloud layer damage degree coefficient delta is larger than or equal to a cloud layer damage degree coefficient threshold deltai. And if the cloud layer parameter early warning condition is not met, returning to the step 202. If the cloud layer detection result in step 214 does not satisfy the cloud layer parameter warning condition, the radar is required to continue to periodically scan at a preset time interval to detect the subsequent cloud layer parameters. If the cloud layer parameter early warning condition is reached, go to step 220.
And step 220, generating a radar early warning map based on the atmospheric electric field parameters, the cloud layer parameters and the cloud layer hazard degree coefficient. The radar early warning map displays the position of the cloud layer and corresponding position parameters, and the atmospheric electric field parameters are displayed on the map so as to provide more vivid and visual thunder early warning information.
In step 226, the warning signal is cancelled.
According to the thunder early warning method, the atmospheric electric field detection is firstly carried out, and then the radar is used for detecting the cloud layer parameters under the condition that the atmospheric electric field detection meets the preset conditions, so that on one hand, the comprehensive atmospheric electric field detection and the radar detection result of the cloud layer parameters are more accurately judged whether thunder early warning is needed, and on the other hand, the detection efficiency is improved by the mode of carrying out the atmospheric electric field detection and then carrying out the radar detection. In addition, the invention further provides a specific mode of obtaining the cloud layer hazard degree coefficient based on the cloud layer parameters detected by the radar, so that the lightning early warning judgment based on the cloud layer parameters is more accurately carried out. The invention also provides a three-level judgment mode aiming at the electric field early warning condition judgment, and provides a corresponding radar scanning mode and a preset license mode of an area or an object needing important early warning respectively based on the three-level judgment mode. The radar scanning modes can be distinguished, so that resources can be saved, and the efficiency can be improved; the preset license mode can provide higher early warning level for areas or objects needing important early warning, more rapid early warning sensitivity and ensure the safety protection effect.
While the invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that the present invention is not limited to the details of construction and various changes in form and details may be made therein without departing from the spirit and scope of the invention. Accordingly, the scope of the present disclosure is not limited to the above-described embodiments, but should be determined by the claims and the equivalents thereof.
Claims (10)
1. A lightning early warning method is characterized by comprising the following steps:
detecting atmospheric electric field parameters of a target space;
judging whether the atmospheric electric field parameters reach electric field early warning conditions or not;
if the electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space;
if the electric field early warning condition is met, starting a radar to scan cloud layer parameters of a cloud layer;
acquiring a cloud layer hazard degree coefficient based on cloud layer parameters;
judging whether the cloud layer damage degree coefficient reaches a cloud layer parameter early warning condition or not;
if the cloud layer parameter early warning condition is met, pushing an early warning signal;
and if the cloud layer parameter early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
2. The lightning early warning method of claim 1, wherein the cloud parameters include dBz being an echo intensity detected by a radar, h being a ground clearance of the cloud,
is the distance between the cloud layer and the radar; the step of calculating the cloud layer hazard degree coefficient based on the cloud layer parameters specifically comprises the following steps:
according to the functional relation between the cloud layer harm degree coefficient and the cloud layer parameter
Acquiring cloud layer hazard degree coefficients; wherein, delta is cloud layer damage degree coefficient, and k is empirical parameter.
3. The lightning early warning method according to claim 2, wherein the step of determining whether the cloud layer risk degree coefficient parameter meets the cloud layer parameter early warning condition specifically comprises:
judging whether the cloud layer damage degree coefficient parameter delta is larger than or equal to the cloud layer damage degree coefficient threshold deltaiWherein the cloud layer parameter early warning condition is a preset cloud layer hazard degree coefficient threshold value deltai。
4. The lightning early warning method of claim 3, wherein before the step of pushing an early warning signal if the cloud parameter early warning condition is reached, the lightning early warning method further comprises:
and generating a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient.
5. The lightning early warning method of claim 4, wherein the step of determining whether the atmospheric electric field parameter meets an electric field early warning condition further comprises:
judging whether the atmospheric electric field parameters reach a primary electric field early warning condition or not;
if the first-level electric field early warning condition is met, starting a radar to scan cloud layer parameters of a cloud layer if the electric field early warning condition is met, and further comprising the following steps of: starting the radar to periodically scan the cloud layer parameters at preset time intervals;
and if the primary electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
6. The lightning early warning method of claim 5, wherein the step of determining whether the atmospheric electric field parameter meets an electric field early warning condition further comprises:
if the primary electric field early warning condition is met, judging whether the atmospheric electric field parameter meets a secondary electric field early warning condition;
if the secondary electric field early warning condition is met, adjusting the radar to be in an uninterrupted scanning mode;
and if the secondary electric field early warning condition is not met, returning to the step to detect the atmospheric electric field parameters of the target space.
7. The lightning early warning method of claim 6, wherein the step of determining whether the atmospheric electric field parameter meets an electric field early warning condition further comprises:
if the secondary electric field early warning condition is met, judging whether a preset license exists in a pushed target unit;
if the preset license exists, entering the step to generate a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient;
if the preset license does not exist, judging whether the atmospheric electric field parameters reach a three-level electric field early warning condition or not;
if the three-level electric field early warning condition is met, entering the step to generate a radar early warning map based on the atmospheric electric field parameter, the cloud layer parameter and the cloud layer hazard degree coefficient;
and if the three-level electric field early warning condition is not met, returning to the step for detecting the atmospheric electric field parameters of the target space.
8. The lightning early warning method of claim 7, wherein the electric field early warning condition is a preset atmospheric electric field parameter threshold, the primary electric field early warning condition is a preset primary atmospheric electric field parameter threshold, the secondary electric field early warning condition is a preset secondary atmospheric electric field parameter threshold, the tertiary electric field early warning condition is a preset tertiary atmospheric electric field parameter threshold, and the primary atmospheric electric field parameter threshold, the secondary atmospheric electric field parameter threshold and the tertiary atmospheric electric field parameter threshold are sequentially increased; the step of judging whether the atmospheric electric field parameters reach electric field early warning conditions specifically comprises the following steps:
and judging whether the atmospheric electric field parameter is greater than or equal to the atmospheric electric field parameter threshold value.
9. The lightning early warning method of claim 8, wherein after the step of pushing an early warning signal if the cloud layer parameter early warning condition is reached, the lightning early warning method further comprises:
judging whether the early warning signal is continuously pushed or not;
if the judgment result is yes, returning to the step, and if the cloud layer parameter early warning condition is reached, pushing an early warning signal;
if the judgment result is negative, the early warning signal is cancelled.
10. A lightning early warning device, characterized in that the lightning early warning device comprises:
the atmospheric electric field instrument is used for detecting atmospheric electric field parameters of a target space;
the radar is used for detecting cloud layer parameters of a cloud layer in the target space;
the at least one processor is used for realizing each program and controlling the atmospheric electric field instrument and the radar to carry out detection operation;
at least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the lightning early warning device to implement the method of any one of claims 1-9.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040183686A1 (en) * | 2003-03-20 | 2004-09-23 | Jones David E. | Lightning detection and prediction alarm device |
| US20110090111A1 (en) * | 2009-10-16 | 2011-04-21 | Propagation Research Associates, Inc. | Method and apparatus for the nowcast of lightning threat using polarimetric radar |
| CN205608132U (en) * | 2016-04-27 | 2016-09-28 | 云南电力试验研究院(集团)有限公司 | Electric wire netting thunder and lightning early warning system based on doppler radar of a new generation |
| CN109738970A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司电力科学研究院 | The method, apparatus and storage medium for realizing Lightning Warning are excavated based on lightning data |
| CN110618474A (en) * | 2019-10-24 | 2019-12-27 | 广东省气象公共安全技术支持中心 | Lightning monitoring and early warning method and system based on multi-source data |
| CN110907708A (en) * | 2019-12-09 | 2020-03-24 | 国网江苏省电力有限公司电力科学研究院 | Lightning early warning method |
| CN111175755A (en) * | 2020-02-21 | 2020-05-19 | 厦门大恒科技有限公司 | Lightning comprehensive detection early warning system and lightning detection method thereof |
| CN111583586A (en) * | 2020-04-03 | 2020-08-25 | 武汉天宏防雷检测中心发展有限公司 | Lightning monitoring and early warning method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113466570A (en) * | 2021-07-26 | 2021-10-01 | 厦门大恒科技有限公司 | Lightning early warning method and lightning early warning device |
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2021
- 2021-07-26 CN CN202110843633.9A patent/CN113466570A/en active Pending
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2022
- 2022-06-27 WO PCT/CN2022/101367 patent/WO2023005542A1/en unknown
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040183686A1 (en) * | 2003-03-20 | 2004-09-23 | Jones David E. | Lightning detection and prediction alarm device |
| US20110090111A1 (en) * | 2009-10-16 | 2011-04-21 | Propagation Research Associates, Inc. | Method and apparatus for the nowcast of lightning threat using polarimetric radar |
| CN205608132U (en) * | 2016-04-27 | 2016-09-28 | 云南电力试验研究院(集团)有限公司 | Electric wire netting thunder and lightning early warning system based on doppler radar of a new generation |
| CN109738970A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司电力科学研究院 | The method, apparatus and storage medium for realizing Lightning Warning are excavated based on lightning data |
| CN110618474A (en) * | 2019-10-24 | 2019-12-27 | 广东省气象公共安全技术支持中心 | Lightning monitoring and early warning method and system based on multi-source data |
| CN110907708A (en) * | 2019-12-09 | 2020-03-24 | 国网江苏省电力有限公司电力科学研究院 | Lightning early warning method |
| CN111175755A (en) * | 2020-02-21 | 2020-05-19 | 厦门大恒科技有限公司 | Lightning comprehensive detection early warning system and lightning detection method thereof |
| CN111583586A (en) * | 2020-04-03 | 2020-08-25 | 武汉天宏防雷检测中心发展有限公司 | Lightning monitoring and early warning method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023005542A1 (en) * | 2021-07-26 | 2023-02-02 | 厦门大恒科技有限公司 | Lightning early warning method and lightning early warning device |
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| WO2023005542A1 (en) | 2023-02-02 |
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