CN114066034A - Multi-zone lightning early warning system and method based on real-time data analysis - Google Patents
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Abstract
The invention discloses a multi-region lightning early warning system and method based on real-time data analysis, relates to the field of civil aviation air traffic control, and is used for solving the technical problems that the prior art is short in detection distance and low in detection efficiency, can only provide meteorological service around an airport runway and cannot provide airway meteorological service; through the real-time collection thunder and lightning data and the state data of thunder and lightning monitoring website, in time analysis processes mass data, calculates thunderstorm core and peripheral thunder and lightning data to make the early warning of thunder and lightning cable and monitor regional thunder and lightning conductor and report an emergency and ask for help or increased vigilance, in time know the running state condition, the thunder and lightning data situation and the strong and weak trend of thunder and lightning of all present thunder and lightning websites. By using the system, the thunder and lightning activity can be effectively monitored and early warned, and the warning accuracy rate is high. The system can effectively reduce the downtime, and for the safe flight, the driving, the protection and the navigation of the airplane, the operation efficiency is improved, and the probability of the outdoor personnel lightning stroke damage event can be reduced.
Description
Technical Field
The invention belongs to the field of civil aviation air traffic control, and particularly relates to a multi-zone lightning early warning system and method based on real-time data analysis.
Background
With the continuous development of modern social economy, civil aviation is also developed at flying speed in order to better meet the requirements of people going out. However, the civil aircraft has immobility in the course of flight and is managed by a professional department. Thunder is a very spectacular and violent natural phenomenon, and if extreme thunder weather occurs in a specified flight route, certain influence is certainly caused on the flight safety of the passenger plane, and an airplane can be damaged under severe conditions, so that immeasurable loss is caused. The method reduces the disaster loss caused by thunder to the maximum extent, becomes powerful power for people to research the physics of thunder, and further continuously promotes the continuous progress of the thunder detection technology.
At present, lightning detection is mainly carried out by means of an atmospheric electric field instrument, judgment is carried out by means of data of a meteorological department, accurate meteorological service aiming at the aviation industry is not available, and the market is blank. Although the european and american companies represented by Vaisala grasp the mature technology, all domestic floor projects are of the single-point base station type. Meanwhile, the meteorological information relates to national strategic safety, the core technology cannot be obtained by simply introducing equipment, and domestic replacement is imperative.
Disclosure of Invention
The invention aims to solve the technical problems that only a small number of airports are built into a single-point monitoring station at present, the detection distance is short, the detection efficiency is low, only weather service around the airport runway can be provided, and the airway weather service cannot be provided. Only the national lightning positioning detection early warning net is formed, and the application value of the practical significance is achieved.
To achieve the above object, an embodiment according to a first aspect of the present invention provides a multi-zone lightning early warning system based on real-time data analysis.
The multi-zone lightning early warning system based on real-time data analysis comprises a lightning data acquisition module, a lightning data analysis module, a lightning data storage module and a lightning early warning module;
the lightning data acquisition module is used for acquiring lightning data, and the lightning data comprises lightning positioning data and lightning monitoring station state data; the lightning location data comprises longitude and latitude, height, peak current, lightning type, location algorithm, location station number and location time; the thunder and lightning monitoring station state data comprises a station name, a station number, station longitude and latitude, station time, a station state and a station terminal hard disk use condition;
the lightning data analysis module is used for analyzing lightning data and judging a lightning type, lightning density and a thunderstorm core;
the lightning data storage module is used for storing lightning data, and the stored lightning data comprises original lightning data and processed lightning data;
and the lightning early warning module is used for calculating lightning frequency and thunderstorm range early warning.
Further, the process of obtaining lightning location data includes the following:
at least acquiring electromagnetic field intensity data of three or more front-end stations according to signals detected by the front-end stations, and calculating the positions of lightning occurrence, the lightning intensities and the lightning occurrence time according to an arrival time difference algorithm;
and transmitting the data to a central server through a network, wherein the central server stores the data in real time, if the network connection fails, the data is stored in real time, and the data is transmitted to the central server again after the network connection succeeds.
Further, the lightning types include ground lightning and cloud lightning.
Further, the process of analyzing the thunderstorm core by the thunder and lightning data analysis module comprises the following steps:
the method comprises the steps of acquiring lightning data in unit time in real time at regular time, putting the lightning data into a cache, dividing the lightning data into a plurality of clusters by adopting a DBSCAn algorithm, filtering out noise data in the clusters, and calculating the center position of each cluster through a KMEANS algorithm to form a plurality of thunderstorm kernels.
Further, after the thunderstorm core statistics is completed, lightning is presented in a scattered point or density map mode, the thunderstorm core is taken as the center, the lightning frequency of the center where the thunderstorm core is located is counted, the thunderstorm core is marked, and a serial number is set.
Further, for each newly calculated thunderstorm core, the distance between the core of the thunderstorm at this time is calculated, the distance between the core of the thunderstorm at the last time is calculated, if the distance is less than or equal to a preset parameter, the same number of the thunderstorm cores is marked, and the core of the thunderstorm cores are drawn and connected to form a thunderstorm track.
Furthermore, the preset parameters are set by the lightning data analysis module.
Further, the lightning frequency comprises the number and trend of lightning in a single thunderstorm nucleus; and drawing a curve graph through the lightning frequency to obtain the strong and weak development trend of the thunderstorm, and predicting the strong and weak trend of the thunderstorm core according to the historical trend of the thunderstorm core.
Further, the thunderstorm range early warning comprises the division of the thunderstorm range according to regions and a thunderstorm touch line warning.
The embodiment of the second aspect of the invention provides a multi-area lightning early warning method based on real-time data analysis.
The multi-zone lightning early warning method based on real-time data analysis comprises the following steps:
step S01: the thunder and lightning positioning data and the thunder and lightning monitoring station state data are collected through a thunder and lightning data collection module and are sent to a central server;
step S02: the lightning data analysis module judges the lightning type, the lightning density and the thunderstorm core according to data stored in the central server; storing the original lightning data and the processed lightning data in a lightning data storage module;
step S03: the lightning early warning module predicts the strong and weak trend of a thunderstorm core and divides the thunderstorm range into regions;
step S04: superposing flight routes, and drawing key supervision areas in a self-defined mode; when thunder and lightning enters a heavy point supervision area, a thunderstorm touch line alarm is sent out, and the alarm is highlighted by voice and dynamic graphics to remind a manager to take countermeasures in time so as to provide safety guarantee for flight safety.
Compared with the prior art, the invention has the beneficial effects that:
through the state data of real-time collection thunder and lightning data and thunder and lightning monitoring website, timely analysis processes the massive data, calculates thunderstorm core and peripheral thunder and lightning data to make the early warning of thunder and lightning strong cable and the warning of monitoring area thunder and lightning conductor, in time know the running state condition, the thunder and lightning data situation and the strong and weak trend of thunder and lightning of all present thunder and lightning websites. By using the system, the thunder and lightning activity can be effectively monitored and warned in advance, and the alarm accuracy rate is high. The system can effectively reduce the downtime, and for the safe flight, the driving, the protection and the navigation of the airplane, the operation efficiency is improved, and the probability of the outdoor personnel lightning stroke damage event can be reduced.
Drawings
FIG. 1 is a schematic diagram of a multi-zone lightning early warning system based on real-time data analysis according to the present invention;
FIG. 2 is a flow chart of a multi-zone lightning early warning method based on real-time data analysis according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a block diagram of a multi-zone lightning early warning system based on real-time data analysis according to an embodiment of the present invention is shown, and the multi-zone lightning early warning system based on real-time data analysis includes: the lightning early warning system comprises a lightning data acquisition module, a lightning data analysis module, a lightning data storage module and a lightning early warning module;
the lightning data acquisition module is used for acquiring lightning data, and the lightning data comprises lightning positioning data and lightning monitoring station state data.
It should be noted that the lightning data acquisition module includes a front-end site, the front-end site acquires VLF/LF very low frequency/low frequency signals through a lightning VLF/LF signal detector, and based on an ultra-long distance lightning detection technology, the number of installed front-end sites is small, the monitoring range is wide, and the farthest detection baseline can reach 1500 km.
Specifically, the lightning location data comprises longitude and latitude, height, peak current, lightning type, location algorithm, location site number and location time; specifically, the process of acquiring lightning location data comprises the following steps:
at least acquiring electromagnetic field intensity data of three or more front-end stations according to signals detected by the front-end stations, and calculating information such as positions, strength and time of lightning occurrence according to an arrival time difference algorithm;
and the data are transmitted to the central server through the network, the central server stores the data in real time, if the network connection fails, the data are stored in real time, and after the network connection succeeds, the data are transmitted to the central server again, so that the data storage double backup is realized.
The thunder and lightning monitoring station state data comprises a station name, a station number, station longitude and latitude, station time, a station state and a station terminal hard disk use condition. The serial number of each front-end station is unique, if the station state is abnormal, the maintenance personnel can be informed in time by short messages to process, all the original waveform materials for lightning detection and the processed data are stored locally, so that the ground lightning positioning data has the advantage of being comparable to the satellite 0-level data, and the archived original data can also be used for verification after the accident and algorithm upgrading.
The lightning data analysis module is used for analyzing lightning data and judging lightning types, lightning density and lightning storm cores.
Specifically, the lightning types include ground lightning and cloud lightning. The ground flash refers to lightning striking the ground, and the cloud flash refers to lightning occurring in or between clouds, that is, all lightning not striking the ground. On average, the ground lightning accounts for just below 1/3 of the total lightning, while the cloud lightning accounts for more than 2/3. The occurrence of lightning is closely related to the development of strong convection clouds, the first lightning in the clouds almost always flashes in clouds, and the lightning in some thunderstorm clouds can all flash in clouds, so that the research and detection of the cloud flash are very important, and the cloud flash information has early warning indication significance for the development of the strong convection.
The lightning density comprises lightning frequency, density algorithm and rapid calculation. The system timely obtains lightning data of one minute in real time and puts the lightning data into a cache, the lightning data are divided into a plurality of clusters by adopting a DBSCAn algorithm, noise data in the clusters are filtered, and then the central position of each cluster is calculated by a KMEANS algorithm, namely a plurality of thunderstorm kernels and a core are formed.
The thunder and lightning classification algorithm adopts GPU parallel computation, compared with the algorithm using CPU, the efficiency of the parallel computation algorithm is greatly improved, the real-time location operation of more than 250 location points per second can be realized, the traversal is 4000 times faster than that of the CPU, and the solution of the CPU to the nonlinear equation set is 375 times faster.
The thunderstorm core comprises a thunderstorm core and a thunderstorm track. After the thunderstorm core statistics is completed, lightning in the system can be presented in a scattered point or density map mode, the thunderstorm core is taken as the center, the lightning frequency of the center where the thunderstorm core is located is counted, the thunderstorm core is marked, and a serial number is set. And for each newly calculated thunderstorm core, calculating the distance between the core of the thunderstorm at this time and the core of the thunderstorm at the last time, if the distance is less than or equal to a set parameter, considering the two thunderstorm cores as the same thunderstorm core, marking the two thunderstorm cores as the same thunderstorm core number, drawing lines for connecting the thunderstorm cores to form a thunderstorm track, and dynamically recording the process in real time in the system.
The lightning data stored by the lightning data storage module comprises original lightning data and processed lightning data.
Specifically, the original lightning data includes site state data and a JSON-formatted file of lightning location data acquired from a front-end site. The system regularly acquires lightning data from the central server, stores the acquired data into the message queue, is independently processed by the storage database thread, and is stored into the database table, so that the front-end and local double backup of the original data is realized.
And simultaneously, analyzing the lightning data and the lightning state data in real time. And (4) processing the lightning data after analysis by a lightning analysis thread, updating the real-time state of each front-end station after the lightning state data is analyzed, and giving an alarm in real time if the lightning state data is abnormal.
It should be noted that the processed lightning data includes thunderstorm nuclear data and lightning data in a thunderstorm nuclear region. The thunderstorm nuclear data comprises the core position of the thunderstorm nuclear, the serial number of the thunderstorm nuclear, the thunderstorm range boundary, the information of the thunderstorm time period and the lightning frequency in the thunderstorm nuclear area. The lightning data in the thunderstorm nuclear area comprises lightning longitude, latitude, lightning time and information of the thunderstorm nuclear. And storing the thunderstorm nuclear data and the lightning data into a database respectively.
The lightning data in the database table is designed according to the month in the lightning frequent stage data table, and the data of the rest time periods are stored in a single table, so that the statistical query and the rapid display effect are facilitated. The system displays the current lightning activity in real time, and can also inquire the previous lightning activity and the previous lightning running track according to the historical time period.
And the lightning early warning module calculates lightning frequency and thunderstorm range early warning.
Specifically, the lightning frequency comprises the number and trend of lightning in a single thunderstorm nucleus. The strong and weak development trend of the thunderstorm can be visually observed by drawing a curve graph through lightning frequency, and the strong and weak trend of the thunderstorm core in a period of time in the future can be predicted according to the historical trend of the thunderstorm core.
The thunderstorm range early warning comprises the division of the thunderstorm range according to regions and the thunderstorm touch line warning. The system can be used for superposing flight routes, and key supervision areas can be drawn in a user-defined mode according to flight route management personnel. If the lightning activity is close to the key supervision area, the system can send out early warning; when thunder formally enters a key supervision area, the system can send out a thunderstorm touch line alarm, the alarm is highlighted by voice and dynamic graphics, and managers are reminded to take countermeasures in time, so that safety guarantee is provided for flight safety.
As shown in fig. 2, the multi-zone lightning early warning method based on real-time data analysis includes the following steps:
step S01: the thunder and lightning positioning data and the thunder and lightning monitoring station state data are collected through a thunder and lightning data collection module and are sent to a central server;
step S02: the lightning data analysis module judges the lightning type, the lightning density and the thunderstorm core according to data stored in the central server; storing the original lightning data and the processed lightning data in a lightning data storage module;
step S03: the lightning early warning module predicts the strong and weak trend of a thunderstorm core and divides the thunderstorm range into regions;
step S04: superposing flight routes, and drawing key supervision areas in a self-defined mode; when thunder and lightning enters a heavy point supervision area, a thunderstorm touch line alarm is sent out, and the alarm is highlighted by voice and dynamic graphics to remind a manager to take countermeasures in time so as to provide safety guarantee for flight safety.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (10)
1. The multi-zone lightning early warning system based on real-time data analysis is characterized by comprising a lightning data acquisition module, a lightning data analysis module, a lightning data storage module and a lightning early warning module;
the lightning data acquisition module is used for acquiring lightning data, and the lightning data comprises lightning positioning data and lightning monitoring station state data; the lightning location data comprises longitude and latitude, height, peak current, lightning type, location algorithm, location station number and location time; the thunder and lightning monitoring station state data comprises a station name, a station number, station longitude and latitude, station time, a station state and a station terminal hard disk use condition;
the lightning data analysis module is used for analyzing lightning data and judging a lightning type, lightning density and a thunderstorm core;
the lightning data storage module is used for storing lightning data, and the stored lightning data comprises original lightning data and processed lightning data;
and the lightning early warning module is used for calculating lightning frequency and thunderstorm range early warning.
2. The multi-zone lightning early warning system based on real-time data analysis of claim 1, wherein the process of obtaining lightning location data comprises the following:
at least acquiring electromagnetic field intensity data of three or more front-end stations according to signals detected by the front-end stations, and calculating the positions of lightning occurrence, the lightning intensities and the lightning occurrence time according to an arrival time difference algorithm;
and transmitting the data to a central server through a network, wherein the central server stores the data in real time, if the network connection fails, the data is stored in real time, and the data is transmitted to the central server again after the network connection succeeds.
3. The multi-zone lightning early warning system based on real-time data analysis of claim 1, wherein the lightning types include ground lightning and cloud lightning.
4. The multi-zone lightning early warning system based on real-time data analysis of claim 1, wherein the process of the lightning data analysis module analyzing the thunderstorm core comprises the following:
the method comprises the steps of acquiring lightning data in unit time in real time at regular time, putting the lightning data into a cache, dividing the lightning data into a plurality of clusters by adopting a DBSCAn algorithm, filtering out noise data in the clusters, and calculating the central position of each cluster by using a KMEANS algorithm to form a plurality of thunderstorm kernels.
5. The multi-zone lightning early warning system based on real-time data analysis of claim 4, wherein after the thunderstorm core statistics is completed, lightning is presented in a scattered point or density map mode, the thunderstorm core is taken as a center, the lightning frequency of the center of the thunderstorm core is counted, the thunderstorm core is marked, and a serial number is set.
6. The multi-zone lightning early warning system based on real-time data analysis of claim 5, wherein for each newly calculated thunderstorm core, the distance between the thunderstorm cores of this time is calculated, and the distance between the thunderstorm cores of the last time is calculated, if the distance is less than or equal to a preset parameter, the same thunderstorm core number is marked, and the thunderstorm cores are drawn and connected to form a thunderstorm track.
7. The multi-zone lightning early warning system based on real-time data analysis of claim 6, wherein the preset parameters are set by a lightning data analysis module.
8. The multi-zone lightning early warning system based on real-time data analysis of claim 1, wherein the lightning frequency comprises the number and trend of lightning within a single thunderstorm core; and drawing a curve graph through lightning frequency to obtain the strong and weak development trend of the thunderstorm, and predicting the strong and weak trend of the thunderstorm core according to the historical trend of the thunderstorm core.
9. The multi-zone lightning early warning system based on real-time data analysis of claim 1, wherein the thunderstorm extent early warning includes thunderstorm extent zoning and thunderstorm touch line warning.
10. The multi-zone lightning early warning method of the multi-zone lightning early warning system based on real-time data analysis of claim 1, comprising the steps of:
step S01: the thunder and lightning positioning data and the thunder and lightning monitoring station state data are collected through a thunder and lightning data collection module and are sent to a central server;
step S02: the lightning data analysis module judges the lightning type, the lightning density and the thunderstorm core according to data stored in the central server; storing the original lightning data and the processed lightning data in a lightning data storage module;
step S03: the lightning early warning module predicts the strong and weak trend of a thunderstorm core and divides the thunderstorm range according to regions;
step S04: superposing flight routes, and drawing key supervision areas in a self-defined mode; when thunder and lightning enters a key supervision area, a thunderstorm touch wire alarm is sent out, and the alarm is highlighted by voice and dynamic graphics to remind a manager to take countermeasures in time so as to provide safety guarantee for flight safety.
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| CN114994801A (en) * | 2022-08-05 | 2022-09-02 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Lightning monitoring and early warning method and device |
| CN116132432A (en) * | 2023-04-19 | 2023-05-16 | 中国气象局气象探测中心 | Thunderstorm warning picture generation algorithm design method for cloud cooperation |
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| CN114994801A (en) * | 2022-08-05 | 2022-09-02 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Lightning monitoring and early warning method and device |
| CN114994801B (en) * | 2022-08-05 | 2022-10-25 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Lightning monitoring and early warning method and device |
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