CN103258140B - Method and system for thunderstorm process restoring and thunder and lightning channel analysis - Google Patents
Method and system for thunderstorm process restoring and thunder and lightning channel analysis Download PDFInfo
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- CN103258140B CN103258140B CN201310208423.8A CN201310208423A CN103258140B CN 103258140 B CN103258140 B CN 103258140B CN 201310208423 A CN201310208423 A CN 201310208423A CN 103258140 B CN103258140 B CN 103258140B
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Abstract
The invention discloses a method and a system for thunderstorm process restoring and thunder and lightning channel analysis. The system comprises a standard data information acquisition unit, a standard data information storage unit, a standard data information processing unit and a display unit, wherein the standard data information acquisition unit is used for obtaining thunder-and-lightning positioning standard data information within a certain period of time through inquiring of a preset data base; the standard data information storage unit is used for storing the obtained thunder and lightning positioning standard data information within the certain period of time through the inquiring of the preset data base; the standard data information processing unit is used for obtaining a directed line segment capable of achieving characterization of a thunderstorm process, and a thunder and lightning channel model according to the thunder and lightning positioning standard data information; the display unit is used for outputting the directed line segment capable of achieving the characterization of the thunderstorm process and the thunder and lightning channel model in a visualization mode or carrying out data dissemination on the directed line segment capable of achieving the characterization of the thunderstorm process and the thunder and lightning channel model. The method achieves restoring of the thunderstorm process, and achieves analysis of the area thunder and lightning channel through a great amount of accumulation, superposition and clustering analysis of data of the thunderstorm process.
Description
Technical field
The invention belongs to anti-thunder technical field, particularly a kind of method for Thundercloud reduction, lightning channel analysis and system thereof.
Background technology
Thunder and lightning is a kind of natural electric discharge phenomena, and because its electric current is large, voltage is high, can cause larger destruction when thunder and lightning hits ground object, and the mankind are carrying out the research of all kinds of lightning monitoring and shocking preventing technology always.From 20 world latter halves seventies, start the position occurring that lightning location system occurs for monitoring thunder and lightning in the U.S., China from the nineties at industry Large scale construction lightning location systems such as meteorology, electric power.At present, lighting location technology is comparatively ripe, and the mankind can learn by this system the precise time and comparatively accurate position that are once struck by lightning and occur.
Lightning location system can gather the lighting location data of magnanimity every year, although the mankind are difficult to the generation objectively changing and reduce lightening activity, but from the historical data of these magnanimity, go the rule finding lightening activity, frequent at thunder activities, thunder resisting equipment is installed in the region that lightning current is larger, play the effect of prevention, reduce the disaster that thunder and lightning causes.
" draw Reatta ", the thunder carrying-off device such as " rocket triggered lightning " and technology newly propose a kind of lightning protection means over nearly more than 10 years; by do not arrive at thundercloud need protection culture before; operation technique means cause thundercloud discharge; finally make thundercloud realize charge balance, thus play to draw the object that thunder realizes lightning protection.But " drawing Reatta ", " rocket triggered lightning " general construction cost is higher, realizes drawing thunder effect preferably for realizing building less thunder carrying-off device, very important to the addressing of thunder carrying-off device.
Current thunder and lightning law-analysing means comparatively bias toward the analysis of long thunder and lightning density, intensity, Thunderstorm Day etc., general employing stress and strain model mode, these analytical approachs can reflect the strong Density Distribution Feature of thunder and lightning in region to a certain extent, but but do not possess the analysis ability to single Thundercloud and region lightning channel.
Summary of the invention
In view of the above problems, propose the present invention in case provide a kind of overcome the problems referred to above or solve the problem at least in part for Thundercloud reduction, lightning channel analyze method and system.
For solving the problems of the technologies described above, the invention provides a kind of method for Thundercloud reduction, comprising: obtain certain region lighting location standard data message in section sometime by inquiry presetting database; Described lighting location standard data message is carried out the cluster analysis of Time and place dimension; According to time attribute, obtained the directed line segment that can realize characterizing Thundercloud by cluster analysis result.
Further, the construction method of described presetting database comprises: from lightning location system, extract the lighting location primary data information (pdi) of certain region sometime in section; Remove the data message that localizer station number in described lighting location primary data information (pdi) is less than 3-5 station, obtain the first data message row; Merge the data message of fighting back in described first data message row, obtain the second data message row; Described presetting database is obtained according to described first data message row, described second data message row.
Further, described acquisition can realize characterizing the directed line segment of Thundercloud and specifically comprises: extract the lighting location standard data message in described second data message row in this time period; Based on vector quantization sorting algorithm, cluster analysis on Time and place is carried out to described lighting location normal data simultaneously; According to the cluster point that the analysis result quantification of described cluster analysis is described thunder and lightning raw data quantity 1/100 – 1/10; Described cluster point is sorted according to time order and function order, obtains several Directed Vectors; The directed line segment that can realize characterizing Thundercloud is obtained according to connecting described Directed Vector; Wherein, described cluster point possesses room and time attribute.
Further, described cluster point to be sorted according to time order and function order, obtain several Directed Vectors and specifically comprise: from first the cluster point P sorted according to time order and function
1start, determine several the optimum point P after its time sequencing and within the scope of permission time threshold values Δ T and permission distance threshold values Δ D
x; By described P
1with described P
xbe combined into several Directed Vectors V(P
1, P
x); Wherein, x > 1; Described time threshold values Δ T, described permission distance threshold values Δ D are by time threshold, space threshold values when carrying out cluster analysis and repeatedly test the empirical data drawn and jointly determine.
Further, describedly obtain and can realize characterizing the directed line segment of Thundercloud according to connecting Directed Vector and specifically comprise: by described several Directed Vectors V(P
1, P
x) in, meet a vectorial starting point equal with the terminal of another vector, or meet vectorial starting point and distance the most contiguous with the terminal of another vector allowing two vectors apart within the scope of threshold values Δ D and be connected; Directed Vector after connecting is carried out the directed line segment that denoising acquisition can realize characterizing Thundercloud; Wherein, described denoising comprises the Directed Vector of head and the tail point without connectedness of removal and time sequencing.
The invention provides a kind of method analyzed for lightning channel, comprising: to chosen area rasterizing, definition grid original pixel values is 0; Will sometime in section all lighting location standard data message be projected in described grid, through the pixel value of grid, 1 process is added to Thundercloud path; In deadline section after all lighting location standard data message projections, cluster analysis is carried out to the pixel value of described grid; Remove isolated noise according to the analysis result of described cluster analysis, obtain grid map; Vector quantization and edge-smoothing process are carried out to described grid map, obtains lightning channel model.
Further, present invention also offers a kind of system analyzed for Thundercloud reduction and lightning channel, comprising: standard data message acquiring unit, for obtaining lighting location standard data message in section sometime by inquiring about presetting database; Standard data message storage unit, described obtains lighting location standard data message in section sometime by inquiring about presetting database for storing; Standard data message processing unit, for obtaining the directed line segment that can realize characterizing Thundercloud according to described lighting location standard data message, and lightning channel model; Display unit, for realizing described the directed line segment characterizing Thundercloud, and lightning channel model exports with visual pattern or carries out data publication.
Further, described standard data message acquiring unit comprises: the first standard data message obtains subelement, for extracting the lighting location primary data information (pdi) in section sometime from lightning location system; Second standard data message obtains subelement, is less than the data message at 3-5 station for removing localizer station number in described lighting location primary data information (pdi), obtains the first data message row; 3rd standard data message obtains subelement, for merging the data message of fighting back in described first data message row, obtains the second data message row; 4th standard data message obtains subelement, for obtaining described presetting database according to described first data message row, described second data message row.
Further, described standard data message processing unit comprises: lighting location data message monitoring loop module, for monitoring the data storage condition in described standard data message storage unit, determines Thundercloud recovery time section; Thundercloud regression analysis module, for obtaining the directed line segment that can realize characterizing Thundercloud according to the lighting location standard data message in the described time period; Lightning channel model construction module, for analysis and the structure of lightning channel model.
Further, described Thundercloud regression analysis module comprises: the first Thundercloud regression analysis submodule, for extracting the lighting location standard data message in the described time period in described second data message row; Second Thundercloud regression analysis submodule, for carrying out cluster analysis on Time and place according to vector quantization sorting algorithm to described lighting location normal data simultaneously, 3rd Thundercloud regression analysis submodule is the cluster point of described thunder and lightning raw data quantity 1/100 – 1/10 according to the analysis result quantification of described cluster analysis; 4th Thundercloud regression analysis submodule, for sorting according to time order and function order to described cluster point, obtains several Directed Vectors, and obtains the directed line segment that can realize characterizing Thundercloud according to connecting described Directed Vector; Described lightning channel model construction module comprises: the first lightning channel model construction submodule, and for chosen area rasterizing, definition grid original pixel values is 0; Second lightning channel model construction submodule, for being projected in described grid by lighting location standard data message all in the described time period, adds 1 process to Thundercloud path through the pixel value of grid; 3rd lightning channel model construction submodule, after lighting location standard data message projections all in deadline section, carries out cluster analysis to the pixel value of described grid, and removes isolated noise according to the analysis result of described cluster analysis, obtain grid map; 4th lightning channel model construction submodule, carries out vector quantization and edge-smoothing process to described grid map, obtains lightning channel model.
A kind of method for Thundercloud reduction, lightning channel analysis provided by the invention and system thereof, by extracting lighting location standard data message from presetting database, and obtain the directed line segment that can characterize Thundercloud according to lighting location standard data message respectively, and lightning channel model; Realize the Thundercloud becoming to possess Time and place order by discrete and isolated lighting location data convert, being the new tool of a kind of thunder activity law research, is to the great change of lightning intrusion from static process to dynamic process.And the analysis of region lightning channel can be used as the important guiding foundation of drawing the addressing of thunder Facilities Construction, thunder resisting equipment installation addressing, the addressing carried out according to region lightning channel analysis result than current reference dodge intensity, density map and artificial experience addressing more science and accurately, thus play the object reducing the disaster that thunder and lightning causes.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
A kind of system principle diagram analyzed for Thundercloud reduction and lightning channel that Fig. 1 provides for the embodiment of the present invention.
A kind of method process chart for Thundercloud reduction that Fig. 2 provides for the embodiment of the present invention.
A kind of structure process flow diagram for presetting database in the method for Thundercloud reduction that Fig. 3 provides for the embodiment of the present invention.
A kind of method process chart analyzed for lightning channel that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain, all belongs to the scope of protection of the invention.
See Fig. 1, a kind of system analyzed for Thundercloud reduction and lightning channel that the embodiment of the present invention provides, comprising: for obtaining the standard data message acquiring unit 101 of lighting location standard data message in section sometime by inquiring about presetting database; For storing the described standard data message storage unit 102 obtaining lighting location standard data message in section sometime by inquiring about presetting database; For obtaining the directed line segment that can realize characterizing Thundercloud according to described lighting location standard data message, and the standard data message processing unit 103 of lightning channel model; For realizing described the directed line segment characterizing Thundercloud, and lightning channel model exports with visual pattern or carries out the display unit 104 of data publication.
In the present embodiment, standard data message acquiring unit comprises: the first standard data message obtains subelement 101a, for extracting the lighting location primary data information (pdi) of (1-48 hour) in section sometime from lightning location system; Second standard data message obtains subelement 101b, is less than the data message at 3-5 station for removing localizer station number in described lighting location primary data information (pdi), obtains the first data message row; 3rd standard data message obtains subelement 101c, for merging the data message of fighting back in described first data message row, obtains the second data message row; 4th standard data message obtains subelement 101d, for obtaining described presetting database according to described first data message row, described second data message row.
In the present embodiment, the lighting location primary data information (pdi) in lightning location system, its obtain manner can be lightning location system active push, obtains subelement 101a be responsible for reception by the first standard data message; Also can be obtain subelement 101a by the first standard data message initiatively to go to capture data from the data-interface of lightning location system.Namely, when using push mode, the role that first standard data message obtains subelement 101a is information receiving end, when lightning location system detects lighting location primary data information (pdi), transmit lighting location primary data information (pdi) by lightning location system internal trigger by data-interface (being generally network interface); When using drainage pattern, it is information acquisition end that first standard data message obtains subelement 101a role, this unit will according to regular hour frequency (1-10 minute), the data-interface announced by lightning location system, reads lighting location primary data information (pdi).But which kind of pattern acquiring lighting location primary data information (pdi) no matter the present invention adopt, the first standard data message obtains subelement 101a after getting lighting location primary data information (pdi), all these data is transferred to the second standard data message and obtains subelement 101b.
In the present embodiment, second standard data message obtains subelement 101b and is less than the data message (imprecise data that localizer station number is very few) at 3-5 station by removing localizer station number in described lighting location primary data information (pdi), obtain the first data message row, and the first data message biographies are transported to standard data message storage unit 102 store.
Meanwhile, the 3rd standard data message obtains the merging treatment of subelement 101c by fighting back the data message in the first data message row, obtains the second data message row.That is, the direct attack in a thunder discharge process and for several times counterattack will participate in subsequent calculations as lighting location data.Its merging process is as follows:
1., find out with the direct and counterattack data (if lightning location system provides the parameter that can judge with a discharge process, then skipping this step) in a discharge process based on lightning return stroke model;
2., according to the position of all lighting location data in 1., structure polygon, and calculate this polygonal geometric center as the thunder and lightning position after merging;
3., the lightning current mean value of all lighting location data is 1. calculated, as the intensity of lightning current merged;
4. the time of data, is attacked directly using thunder and lightning as the thunder and lightning time of origin merged.
Complete after above counterattack merges, the 3rd standard data message obtains subelement 101c and the second data message is arranged (thunder and lightning position data, intensity of lightning current data message, thunder and lightning time of origin data message) and transfer to standard data message storage unit 102 and store.And the data message in the first data message row, the second data message row forms the lighting location standard data message in presetting database.
In the present embodiment, the core of standard data message storage unit 102 is relational database system, can choice for use Oracle according to actual needs, the DBMS that SqlServer, MySql etc. are conventional.This data information memory unit is responsible for, according to different data types, data being stored in different databases.
In the present embodiment, standard data message processing unit 103 comprises: lighting location data message monitoring loop module 103a, for monitoring the data storage condition in described standard data message storage unit, determines Thundercloud recovery time section; Thundercloud regression analysis module 103b, for obtaining the directed line segment that can realize characterizing Thundercloud according to the lighting location standard data message in the described time period; Lightning channel model construction module 103c, for analysis and the structure of lightning channel model.
1, lighting location data message monitoring loop module 103a;
There is variable ST in this module, the initial value of ST is null value.
This module constantly monitors the data information memory situation of standard data message storage unit 102 according to the certain time interval cycle (1-10) minute, as entered into standard data message storage unit 102 without new lighting location standard data message within a continuous 2-3 cycle, if variable ST is null value, then start Thundercloud regression analysis module 103b and carry out Thundercloud reduction to all lighting location standard data message till current time, arrange ST is current time simultaneously; If variable ST is not null value, then start Thundercloud regression analysis module 103b and to the lighting location standard data message in current time frame, Thundercloud reduction is carried out to ST.
2, Thundercloud regression analysis module 103b;
To be triggered by lightning data monitoring loop module and after determining the time range that need analyze, the process that Thundercloud reduces is as follows:
First Thundercloud regression analysis submodule 103b1, for extracting the lighting location standard data message in this time period in described second data message row;
Second Thundercloud regression analysis submodule 103b2, for carrying out cluster analysis on Time and place according to vector quantization sorting algorithm to described lighting location normal data simultaneously;
3rd Thundercloud regression analysis submodule 103b3, for according to the analysis result quantification of described cluster analysis being the cluster point of described thunder and lightning raw data quantity 1/100 – 1/10;
4th Thundercloud regression analysis submodule 103b4, for sorting according to time order and function order to described cluster point, obtains several Directed Vectors, and obtains the directed line segment that can realize characterizing Thundercloud according to connecting described Directed Vector.
3, lightning channel model construction module 103c;
This module be can't help other modules and is triggered, and only runs when user triggers and requires that scope was greater than 1 and was the multiple in year preset time.Operationally, the analytic process of its thunderstorm passage is:
First lightning channel model construction submodule 103c1, for chosen area rasterizing (grid size is 1/10 Wan – 1/5,000 of the longer sides of the outsourcing rectangle of area polygonal), definition grid original pixel values is 0;
Second lightning channel model construction submodule 103c2, for being projected in described grid by lighting location standard data message all in the described time period, adds 1 process to Thundercloud path through the pixel value of grid;
3rd lightning channel model construction submodule 103c3, after lighting location standard data message projections all in deadline section, cluster analysis is carried out to the pixel value of described grid, and removes isolated noise according to the analysis result of described cluster analysis, obtain grid map;
4th lightning channel model construction submodule 103c4, carries out vector quantization and edge-smoothing process to described grid map, obtains lightning channel model.
In the present embodiment, the 4th Thundercloud regression analysis submodule 103b4 specifically comprises:
1, the structure of Directed Vector; From first the cluster point P sorted according to time order and function
1start, determine several the optimum point P after its time sequencing and within the scope of permission time threshold values Δ T and permission distance threshold values Δ D
x, and by described P
1with described P
xbe combined into several Directed Vectors V(P
1, P
x);
2, the connection of Directed Vector; By described several Directed Vectors V(P
1, P
x) in, meet a vectorial starting point equal with the terminal of another vector, or meet vectorial starting point and distance the most contiguous with the terminal of another vector allowing two vectors apart within the scope of threshold values Δ D and be connected;
Such as: for vectorial V
x, V
y, V
z; If vectorial V
xterminal be vectorial V
ystarting point, then V
xand V
yconnect; If vectorial V
xa corresponding V cannot be looked for
y, then starting point and the most contiguous and V of distance within the scope of Δ D of its terminal is found
zconnect;
3, the acquisition of directed line segment; Directed Vector after connecting is carried out the directed line segment that denoising acquisition can realize characterizing Thundercloud;
Wherein, x > 1, y > 1, z > 1; Described time threshold values Δ T, described permission distance threshold values Δ D are by time threshold, space threshold values when carrying out cluster analysis and repeatedly test the empirical data drawn and jointly determine; Described denoising comprises removes and the Directed Vector of the head and the tail point of time sequencing without connectedness.
In the present embodiment, display unit 104 is core when showing with GIS platform, showing and can reach optimum efficiency, preferably, the GIS platform that time series can be supported to reply should be selected as Google Earth, SmartGloble etc. for making Thundercloud.Displaying contents can carry out exporting and printing with picture formats such as JPG, PNG by this unit, provides the data-interface of KML form for calling with the form of WebService simultaneously.
See Fig. 2, a kind of method for Thundercloud reduction that the embodiment of the present invention provides, comprising:
Step S201: obtain lighting location standard data message in section sometime by inquiry presetting database;
Step S202: cluster analysis lighting location standard data message being carried out Time and place dimension;
Step S203: according to time attribute, obtains the directed line segment that can realize characterizing Thundercloud by cluster analysis result.
See Fig. 3, in the present embodiment, in step S201, the construction method of presetting database comprises:
Step S301: the lighting location primary data information (pdi) extracting (in 1-48 hour) in section sometime from lightning location system;
Step S302: remove localizer station number in lighting location primary data information (pdi) and be less than the data message at 3-5 station, obtains the first data message row;
Step S303: merge the data message of fighting back in described first data message row, obtain the second data message row;
Step S304: obtain described presetting database according to the first data message row, described second data message row.
In the present embodiment, obtain the directed line segment that can realize characterizing Thundercloud in step S203 and specifically comprise:
1, the lighting location standard data message in the second data message row in this time period is extracted;
2, based on vector quantization sorting algorithm, cluster analysis on Time and place is carried out to lighting location normal data simultaneously;
3, according to the analysis result quantification of cluster analysis be the cluster point of thunder and lightning raw data quantity 1/100 – 1/10;
4, described cluster point is sorted according to time order and function order, obtain several Directed Vectors;
5, the directed line segment that can realize characterizing Thundercloud is obtained according to connecting described Directed Vector;
Wherein, described cluster point still possesses room and time attribute.
In the present embodiment, obtain several Directed Vectors and specifically comprise:
1, from first the cluster point P sorted according to time order and function
1start, determine several the optimum point P after its time sequencing and within the scope of permission time threshold values Δ T and permission distance threshold values Δ D
x;
2, by described P
1with described P
xbe combined into several Directed Vectors V(P
1, P
x);
Wherein, x > 1; Described time threshold values Δ T, described permission distance threshold values Δ D are by time threshold, space threshold values when carrying out cluster analysis and repeatedly test the empirical data drawn and jointly determine.
In the present embodiment, obtain the directed line segment that can realize characterizing Thundercloud according to the described Directed Vector of connection and specifically comprise:
1, by described several Directed Vectors V(P
1, P
x) in, meet a vectorial starting point equal with the terminal of another vector, or meet vectorial starting point and distance the most contiguous with the terminal of another vector allowing two vectors apart within the scope of threshold values Δ D and be connected;
2, the Directed Vector after connection is carried out denoising and obtain the directed line segment that can realize characterizing Thundercloud;
Wherein, described denoising comprises the Directed Vector of head and the tail point without connectedness of removal and time sequencing.
See Fig. 4, a kind of method analyzed for lightning channel that the embodiment of the present invention provides, comprising:
Step S401: to chosen area rasterizing (grid size is 1/10 Wan – 1/5,000 of the longer sides of the outsourcing rectangle of area polygonal), definition grid original pixel values is 0;
Step S402: will sometime in section all lighting location standard data message be projected in described grid, through the pixel value of grid, 1 process is added to Thundercloud path;
Step S403: in deadline section after all lighting location standard data message projections, cluster analysis is carried out to the pixel value of described grid;
Step S404: remove isolated noise according to the analysis result of described cluster analysis, obtain grid map;
Step S405: carry out vector quantization and edge-smoothing process to described grid map, obtains lightning channel model.
A kind of method for Thundercloud reduction, lightning channel analysis provided by the invention and system thereof, by extracting lighting location standard data message from presetting database, and obtain the directed line segment that can characterize Thundercloud according to lighting location standard data message respectively, and lightning channel model; Realize the Thundercloud becoming to possess Time and place order by discrete and isolated lighting location data convert, being the new tool of a kind of thunder activity law research, is to the great change of lightning intrusion from static process to dynamic process.And the analysis of region lightning channel can be used as the important guiding foundation of drawing the addressing of thunder Facilities Construction, thunder resisting equipment installation addressing, the addressing carried out according to region lightning channel analysis result than current reference dodge intensity, density map and artificial experience addressing more science and accurately, thus play the object reducing the disaster that thunder and lightning causes.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device or system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Apparatus and system embodiment described above is only schematic, the wherein said unit illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
Above to the method for Thundercloud reduction, lightning channel analysis provided by the present invention and system thereof, be described in detail, apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications.In sum, this description should not be construed as limitation of the present invention.
Claims (3)
1., for a method for Thundercloud reduction, it is characterized in that, comprising:
Certain region lighting location standard data message in section is sometime obtained by inquiry presetting database;
Described lighting location standard data message is carried out the cluster analysis of Time and place dimension;
According to time attribute, obtained the directed line segment that can realize characterizing Thundercloud by cluster analysis result;
The construction method of described presetting database comprises: from lightning location system, extract the lighting location primary data information (pdi) of certain region sometime in section; Remove localizer station number in described lighting location primary data information (pdi) and be less than the data message at 3 stations, obtain the first data message row; Merge the data message of fighting back in described first data message row, obtain the second data message row; Described presetting database is obtained according to described first data message row, described second data message row;
The directed line segment that described acquisition can realize characterizing Thundercloud specifically comprises: extract the lighting location standard data message in described second data message row in this time period; Based on vector quantization sorting algorithm, cluster analysis on Time and place is carried out to described lighting location normal data simultaneously; According to 1/100 – 1/10 that the quantitative range of the analysis result determination cluster point of described cluster analysis is described thunder and lightning raw data quantity; Described cluster point is sorted according to time order and function order, obtains several Directed Vectors; The directed line segment that can realize characterizing Thundercloud is obtained according to connecting described Directed Vector; Wherein, described cluster point possesses room and time attribute.
2. method according to claim 1, is characterized in that, describedly sorts according to time order and function order to cluster point, obtains several Directed Vectors and specifically comprises:
From first the cluster point P sorted according to time order and function
1start, determine several the optimum point P after its time sequencing and within the scope of permission time threshold △ T and permission distance threshold △ D
x;
By described P
1with described P
xbe combined into several Directed Vectors V (P
1, P
x);
Wherein, x > 1;
Described time threshold △ T, described permission distance threshold △ D are by time threshold, capacity-threshold when carrying out cluster analysis and repeatedly test the empirical data drawn and jointly determine.
3. method according to claim 2, is characterized in that, describedly obtains and can realize characterizing the directed line segment of Thundercloud according to connecting Directed Vector and specifically comprise:
By described several Directed Vectors V (P
1, P
x) in, meet a vectorial starting point equal with the terminal of another vector, or a satisfied vectorial starting point and distance the most contiguous with the terminal of another vector is connected allowing two vectors within the scope of distance threshold △ D;
Directed Vector after connecting is carried out the directed line segment that denoising acquisition can realize characterizing Thundercloud;
Wherein,
Described denoising comprises removes and the Directed Vector of the head and the tail point of time sequencing without connectedness.
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| CN108090605B (en) * | 2017-12-08 | 2020-11-24 | 广东电网有限责任公司电力科学研究院 | Method for predicting lightning attracting effect of lightning attracting tower |
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