CN116577568A - Lightning positioning method and device based on hash value characteristics - Google Patents
Lightning positioning method and device based on hash value characteristics Download PDFInfo
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Abstract
The invention provides a lightning positioning method and device based on hash value characteristics, and relates to the technical field of lightning monitoring. The method comprises the following steps: acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively; performing first screening on the pulse waveform based on peak time to obtain pulse waveforms meeting first screening conditions in a plurality of lightning detection sites; performing association analysis based on hash values of pulse waveforms meeting first screening conditions to obtain peak time of homologous pulse waveforms of a plurality of lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives the homologous pulse discharge event; the occurrence time and the target position of the homologous pulse discharge event are determined based on the peak time of the homologous pulse waveform of the plurality of lightning detection sites and the position data of the plurality of lightning detection sites. The method provided by the invention can effectively improve the positioning efficiency and accuracy aiming at the lightning pulse discharge event.
Description
Technical Field
The invention relates to the technical field of lightning monitoring, in particular to a lightning positioning method and device based on hash value characteristics. In addition, the invention also relates to an electronic device and a processor readable storage medium.
Background
In recent years, full-flash positioning technology based on low-frequency signals is vigorously developed, and more low-frequency full-flash positioning systems are beginning to be deployed and are being commercialized. However, the full-flash positioning system established by the development of the service field focuses on the realization of the full-flash function, and mainly considers the real-time performance and the speed. The positioning efficiency of each lightning pulse discharge event is still low, the fineness of each lightning is insufficient, namely the number of pulse discharge events positioned by one lightning is small, and a large amount of intra-cloud discharge information is omitted. Although the low-frequency full-flash positioning technology with higher definition is developed in some fields at present, the technology usually adopts a positioning mode based on waveforms with long recording time, has low processing speed and poor instantaneity, and is not suitable for application requirements of the business field. Therefore, how to design a more efficient and accurate lightning locating method is a challenge to be solved.
Disclosure of Invention
Therefore, the invention provides a lightning positioning method and device based on hash value characteristics, which are used for solving the defects of the prior art that the lightning positioning scheme has higher limitation, thereby causing poor positioning efficiency and accuracy.
In a first aspect, the lightning positioning method based on hash value features provided by the present invention includes:
acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively;
performing first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites;
performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event;
and determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
Further, the obtaining the hash values of the pulse waveforms recorded by the lightning detection sites respectively specifically includes:
dividing pulse waveforms recorded by the lightning detection sites into a plurality of equal-divided wave bands according to the corresponding time sequence, and determining the average value of the pulse amplitude of each wave band;
Dividing pulse waveforms respectively recorded by the lightning detection sites into a plurality of equal pulse amplitude variation intervals according to the corresponding absolute variation ranges of the pulse amplitude values;
determining hash values of pulse waveforms respectively recorded by the plurality of lightning detection sites based on the corresponding relation between the pulse amplitude average value and the pulse amplitude variation interval and the numerical value corresponding to the pulse amplitude variation interval; the hash value of the pulse waveform comprises a plurality of hash values corresponding to a plurality of wave bands respectively.
Further, the first filtering of the pulse waveform based on the peak time, to obtain pulse waveforms meeting a preset first filtering condition in the multiple lightning detection sites, specifically includes:
determining a first screening condition; the first screening condition is that the peak time difference of pulse waveforms between any two lightning detection sites in the plurality of lightning detection sites is smaller than the light velocity propagation time between the two lightning detection sites;
determining peak time of a pulse waveform recorded by a first lightning detection site from the plurality of lightning detection sites, and respectively differencing the peak time of the pulse waveform recorded by a second lightning detection site from the plurality of lightning detection sites with the peak time of the pulse waveform recorded by the first lightning detection site to obtain a time difference;
Comparing the time difference with the light speed propagation time between the corresponding lightning detection stations respectively to obtain pulse waveforms meeting preset first screening conditions in the pulse waveforms of the second lightning detection stations;
wherein the second lightning detection site is a plurality of lightning detection sites determined from the plurality of lightning detection sites other than the first lightning detection site.
Further, performing association analysis based on the hash value of the pulse waveform satisfying the preset first filtering condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites, which specifically includes:
under the condition that the number of divided pulse amplitude variation intervals is smaller than the preset number, carrying out block distance calculation on the hash value of the pulse waveform meeting the preset first screening condition so as to determine a homologous pulse waveform with the smallest hash value difference with the pulse waveform of the first lightning detection station from the second lightning detection station and smaller than the first preset value, and determining the peak time of the homologous pulse waveform; or alternatively, the process may be performed,
and under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number, calculating a correlation coefficient of the hash value of the pulse waveform meeting the preset first screening condition, so as to determine a homologous pulse waveform with the maximum correlation coefficient of the hash value of the pulse waveform of the first lightning detection station and greater than a second preset value from the second lightning detection station, and determining the peak time of the homologous pulse waveform.
Further, before the hash values of the pulse waveforms recorded by the lightning detection sites are obtained, the method further comprises:
the method comprises the steps of obtaining original pulse waveform data of lightning pulse discharge signals collected by a plurality of lightning detection sites in advance, carrying out band-pass filtering processing on the original pulse waveform data to obtain corresponding pulse frequency bands, and carrying out normalization processing on the pulse frequency bands to obtain target pulse frequency bands corresponding to the lightning detection sites respectively; the lightning pulse discharge signal is a signal generated by a lightning pulse discharge event;
and searching a pulse peak from the target pulse frequency band based on a preset pulse amplitude threshold value and a preset time interval, and obtaining pulse waveforms of single discharge pulses corresponding to the lightning detection sites respectively.
Further, the determining, based on peak time of homologous pulse waveforms corresponding to the plurality of lightning detection sites and position data of the plurality of lightning detection sites, occurrence time and target position of the homologous pulse discharge event specifically includes:
acquiring location data of the plurality of lightning detection sites;
calculating based on the peak time of the target pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites by using a preset arrival time algorithm so as to determine the occurrence time and the target position of the homologous pulse discharge event;
The arrival time algorithm is used for calculating the occurrence time and the target position of the homologous pulse discharge event based on the peak time and the position data of the homologous pulse waveforms of at least four lightning detection sites.
In a second aspect, the present invention also provides a lightning location device based on a hash value feature, including:
the pulse waveform data acquisition unit is used for acquiring hash values and peak time of pulse waveforms recorded by the lightning detection sites respectively;
the pulse waveform screening unit is used for carrying out first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites;
the pulse waveform association analysis unit is used for carrying out association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event;
and the lightning positioning unit is used for determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveforms corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
Further, the pulse waveform data acquisition unit is specifically configured to:
dividing pulse waveforms recorded by the lightning detection sites into a plurality of equal-divided wave bands according to the corresponding time sequence, and determining the average value of the pulse amplitude of each wave band;
dividing pulse waveforms respectively recorded by the lightning detection sites into a plurality of equal pulse amplitude variation intervals according to the corresponding absolute variation ranges of the pulse amplitude values;
determining hash values of pulse waveforms respectively recorded by the plurality of lightning detection sites based on the corresponding relation between the pulse amplitude average value and the pulse amplitude variation interval and the numerical value corresponding to the pulse amplitude variation interval; the hash value of the pulse waveform comprises a plurality of hash values corresponding to a plurality of wave bands respectively.
Further, the pulse waveform screening unit is specifically configured to:
determining a first screening condition; the first screening condition is that the peak time difference of pulse waveforms between any two lightning detection sites in the plurality of lightning detection sites is smaller than the light velocity propagation time between the two lightning detection sites;
determining peak time of a pulse waveform recorded by a first lightning detection site from the plurality of lightning detection sites, and respectively differencing the peak time of the pulse waveform recorded by a second lightning detection site from the plurality of lightning detection sites with the peak time of the pulse waveform recorded by the first lightning detection site to obtain a time difference;
Comparing the time difference with the light speed propagation time between the corresponding lightning detection stations respectively to obtain pulse waveforms meeting preset first screening conditions in the pulse waveforms of the second lightning detection stations;
wherein the second lightning detection site is a plurality of lightning detection sites determined from the plurality of lightning detection sites other than the first lightning detection site.
Further, the pulse waveform correlation analysis unit is specifically configured to:
under the condition that the number of divided pulse amplitude variation intervals is smaller than the preset number, carrying out block distance calculation on the hash value of the pulse waveform meeting the preset first screening condition so as to determine a homologous pulse waveform with the smallest hash value difference with the pulse waveform of the first lightning detection station from the second lightning detection station and smaller than the first preset value, and determining the peak time of the homologous pulse waveform; or alternatively, the process may be performed,
and under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number, calculating a correlation coefficient of the hash value of the pulse waveform meeting the preset first screening condition, so as to determine a homologous pulse waveform with the maximum correlation coefficient of the hash value of the pulse waveform of the first lightning detection station and greater than a second preset value from the second lightning detection station, and determining the peak time of the homologous pulse waveform.
Further, before the hash values of the pulse waveforms recorded by the lightning detection sites are obtained, the method further comprises:
the pulse waveform determining unit is used for acquiring original pulse waveform data of lightning pulse discharge signals acquired by the plurality of lightning detection sites in advance, carrying out band-pass filtering processing on the original pulse waveform data to obtain corresponding pulse frequency bands, and carrying out normalization processing on the pulse frequency bands to obtain target pulse frequency bands corresponding to the plurality of lightning detection sites respectively; the lightning pulse discharge signal is a signal generated by a lightning pulse discharge event;
and searching a pulse peak from the target pulse frequency band based on a preset pulse amplitude threshold value and a preset time interval, and obtaining pulse waveforms of single discharge pulses corresponding to the lightning detection sites respectively.
Further, the lightning locating unit is specifically configured to:
acquiring location data of the plurality of lightning detection sites;
calculating based on the peak time of the target pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites by using a preset arrival time algorithm so as to determine the occurrence time and the target position of the homologous pulse discharge event;
The arrival time algorithm is used for calculating the occurrence time and the target position of the homologous pulse discharge event based on the peak time and the position data of the homologous pulse waveforms of at least four lightning detection sites.
In a third aspect, the present invention also provides an electronic device, including: memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program implementing the steps of the lightning location method based on hash value features as described in any of the above.
In a fourth aspect, the present invention also provides a processor readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a lightning location method based on hash value features as described in any of the above.
According to the lightning positioning method based on the hash value characteristics, hash values and peak time of pulse waveforms recorded by a plurality of lightning detection sites respectively are obtained; performing first screening on the pulse waveform based on peak time to obtain pulse waveforms meeting preset first screening conditions in a plurality of lightning detection sites; performing association analysis based on hash values of pulse waveforms meeting preset first screening conditions to obtain peak time of homologous pulse waveforms corresponding to a plurality of lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives the homologous pulse discharge event; the occurrence time and the target position of the homologous pulse discharge event are determined based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites, and the positioning efficiency and the positioning accuracy of the lightning pulse discharge event can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will briefly describe the drawings that are required to be used in the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without any inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a lightning location method based on hash value characteristics according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of peak positions identified for a pulse waveform of a return stroke according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of pulse waveforms of a single discharge pulse provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of hash values of a pulse waveform according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the location of four lightning detection sites provided by an embodiment of the invention;
FIG. 6 is a schematic diagram of pulse waveforms for four lightning detection sites provided by an embodiment of the invention;
FIG. 7 is a diagram of a positioning result of a lightning pulse discharge event using hash features according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a lightning location device based on hash value characteristics according to an embodiment of the invention;
fig. 9 is a schematic diagram of an entity structure of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which are derived by a person skilled in the art from the embodiments according to the invention without creative efforts, fall within the protection scope of the invention.
At present, a service full-flash positioning system mainly uses pulse peak characteristics to match lightning pulses of a plurality of lightning detection sites in a method so as to improve positioning speed. However, due to the change of pulse peaks caused by factors such as topography, the matching efficiency is low, and the number of actual lightning event positioning points is small. In order to solve the problems, the invention provides a lightning positioning method based on hash value characteristics, which is applied to a service full-flash positioning system and greatly improves the positioning efficiency of the current service lightning positioning system.
Hereinafter, embodiments thereof will be described in detail based on the lightning locating method based on hash value characteristics according to the present invention. As shown in fig. 1, which is a flow chart of a lightning positioning method based on hash value characteristics according to an embodiment of the present invention, a specific process includes the following steps:
step 101: and acquiring hash values and peak time of pulse waveforms respectively recorded by a plurality of lightning detection stations.
In the embodiment of the invention, the pulse waveforms of the lightning detection sites can be divided into a plurality of equal parts of wave bands according to the corresponding time sequence, the average value of the pulse amplitude of each wave band is calculated and determined, and the pulse waveforms corresponding to the lightning detection sites are divided into a plurality of equal parts of pulse amplitude variation intervals according to the absolute variation range of the corresponding pulse amplitude values. And then, based on the corresponding relation between the pulse amplitude average value and the pulse amplitude variation interval and the numerical value corresponding to the pulse amplitude variation interval, determining hash values of pulse waveforms respectively corresponding to the plurality of lightning detection sites, and determining the hash values and peak time to determine corresponding feature vectors. The hash value of the pulse waveform comprises a plurality of hash values corresponding to a plurality of wave bands respectively. The plurality of lightning detection sites may be a network of distributed lightning detection sites comprising at least four different lightning detection sites distributed at different locations. For example: the pulse waveforms of the lightning detection sites are divided into N equal parts (for example, 5 equal parts) of wave bands from front to back according to the corresponding time sequence respectively, namely, N equal parts obtained according to the time sequence, and the average value of the pulse amplitude of the wave band of each equal part is determined. Wherein N may be any positive integer greater than 1. The temporal order in which the pulse shapes correspond may be the abscissa direction in fig. 3. And dividing the pulse waveforms of the lightning detection sites into M equal parts (for example, 5 equal parts) of pulse amplitude variation intervals according to the corresponding pulse amplitude value absolute variation ranges, wherein each part of pulse amplitude variation interval is one-half of the pulse amplitude absolute variation range. Wherein M may be any positive integer greater than 1. The absolute variation range of the pulse amplitude value corresponding to the pulse waveform can be the ordinate direction in fig. 3. In the process of determining hash values of pulse waveforms corresponding to the lightning detection sites respectively based on the correspondence between the pulse amplitude average value and the pulse amplitude variation interval and the numerical values corresponding to the pulse amplitude variation interval, the pulse amplitude average value and the value of the pulse amplitude variation interval can be matched, and the correspondence between the pulse amplitude average value and the pulse amplitude variation interval is determined, wherein the value of the pulse amplitude variation interval can be a value of an interval initial endpoint, a value of an intermediate point or a value of an interval end endpoint, etc. so as to assign the value to the corresponding value (i.e., hash value) of a wave band thereof, and N hash amplitudes, i.e., N hash values corresponding to the N pulse waveforms, are obtained by sequentially judging data of N wave bands in time sequence. That is, by determining which pulse amplitude variation interval of the absolute variation range of the pulse amplitude value the average value of each set of amplitude (i.e., the pulse amplitude average value) is located, and further assigning the corresponding value (i.e., the hash value) of the band thereof, for example, M equal parts of the pulse amplitude variation interval include (-0.2, -0.15), (-0.15, -0.1), (-0.1, -0.05), (-0.05, 0), (0,0.05), if the pulse amplitude average value of the band of N equal parts is-0.16, -0.12, -0.06, -0.04, 0.03, respectively, the values of the two endpoints of the corresponding pulse amplitude variation interval or the average value of the two endpoints can be assigned to the corresponding band as the hash value thereof, so that N pulse waveforms will be correspondingly obtained N hash values. That is, according to N equal parts obtained in time sequence, it is judged which interval of amplitude variation the average value of each group of amplitude is located, and the corresponding value of the amplitude is given. And sequentially judging N groups of data on the time sequence to obtain N hash amplitudes, namely N hash values of the pulse waveform. Besides, the corresponding peak time can be directly obtained through the pulse waveform.
In addition, before the hash values of the pulse waveforms recorded by the lightning detection sites respectively are obtained, the original pulse waveform data of the lightning pulse discharge signals collected by the lightning detection sites are also required to be obtained in advance, the band-pass filtering processing is performed on the original pulse waveform data to obtain corresponding pulse frequency bands, and the normalization processing is performed on the pulse frequency bands to obtain target pulse frequency bands corresponding to the lightning detection sites respectively. The lightning pulse discharge signal is a signal generated by a lightning pulse discharge event. Further, based on a preset pulse amplitude threshold value and a preset time interval, searching a pulse peak from the target pulse frequency band to obtain pulse waveforms of single discharge pulses respectively corresponding to the lightning detection sites, and obtaining pulse waveforms respectively corresponding to the lightning detection sites. That is, the pulse waveform needs to be preprocessed and peaked, and the lightning discharge signal waveform data of each lightning detection station is subjected to band-pass filtering processing to obtain a required pulse frequency band (such as 1k-300 k), and then normalized to obtain a required target pulse frequency band. Then, searching for pulse peaks (for example, the pulse amplitude threshold is 10 times of the background noise, and the peak-to-peak time interval is 20 mu s) according to the preset pulse amplitude threshold and the preset time interval, and extracting a complete pulse waveform (for example, 20 mu s) of a single pulse with a preset length.
Step 102: and carrying out first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites.
Because of the different locations of the multiple lightning detection sites, the same lightning pulse discharge signal arrives at different lightning detection sites at different times. A plurality of lightning pulse discharge events may be generated in a short time, and pulse waveforms corresponding to the plurality of lightning detection sites respectively may come from different lightning pulse discharge events, so preliminary filtering is needed, and the pulse waveforms which may not belong to the same lightning pulse discharge event (i.e. homologous pulse discharge event) are subjected to first screening and filtering to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites, wherein the pulse waveforms meeting the preset first screening conditions are pulse waveforms which may belong to homologous pulse discharge events. That is, it is necessary to ensure that the pulse waveforms respectively corresponding to the plurality of lightning detection sites are pulse waveforms generated based on the same lightning pulse discharge signal (i.e., homologous pulse discharge signal). The signal generated by the same lightning pulse discharge event is the homologous discharge event signal.
In the embodiment of the present invention, in order to increase the processing speed, a first lightning detection site (i.e., a master site) may be determined from the plurality of lightning detection sites, and based on that the peak time of the pulse waveform of a second lightning detection site (i.e., a slave site or a sub-site) in the plurality of lightning detection sites is respectively matched with the peak time of the pulse waveform of the first lightning detection site, screening is performed to obtain pulse waveforms meeting a preset first screening condition in the plurality of lightning detection sites. The second lightning detection site is at least three of the plurality of lightning detection sites determined other than the first lightning detection site
If the divided band is 8 equal parts, the hash value of the obtained pulse waveform can be shown in fig. 4. The second lightning detection site is a lightning detection site other than the first lightning detection site determined from the plurality of lightning detection sites. The first lightning detection site may be a master site determined in advance from a network of lightning detection sites and the second lightning detection site may be a slave site determined in advance from a network of lightning detection sites. As shown in fig. 5, 500 may be a lightning pulse discharge event, 501 may be a selected first lightning detection site, and the peak times of the pulse waveforms recorded 502-504 for the second lightning detection site are respectively matched with the peak times of the pulse waveforms recorded by the first lightning detection site. As shown in fig. 6, (a) pulse waveforms recorded for a first flash detection site and their peak times; (b) And (c) and (d) are respectively pulse waveforms recorded by the second lightning detection sites and peak time thereof, and the pulse waveforms CHJ-1 in (a) can be used as reference pulse waveforms and peak time thereof, and the peak time corresponding to CTX-1, CTX-2, SGC-1, SGC-2, ZCJ-1 and ZCJ-2 in (b), (c) and (d) are respectively subjected to difference processing with the peak time of the CHJ-1 so as to determine the pulse waveforms meeting preset first screening conditions, such as CTX-1, SGC-1 and ZCJ-1. When the CTX-1 and CTX-2 in (b) are respectively subjected to difference processing with the peak time of the CHJ-1 to obtain corresponding time differences, the time differences are compared with the light speed propagation time between the corresponding lightning detection sites (namely, between (a) and (b)).
Specifically, the first screening conditions may be predetermined; the first screening condition is that the peak time difference of pulse waveforms between any two lightning detection sites in the plurality of lightning detection sites is smaller than the light velocity propagation time between the two lightning detection sites; determining peak time of a pulse waveform recorded by a first lightning detection site from the plurality of lightning detection sites, and respectively differencing the peak time of the pulse waveform recorded by a second lightning detection site from the plurality of lightning detection sites with the peak time of the pulse waveform recorded by the first lightning detection site to obtain a time difference; and comparing the time difference with the light speed propagation time between the corresponding lightning detection stations, and if the time difference is smaller than the light speed propagation time, obtaining a pulse waveform meeting the preset first screening condition in the pulse waveforms of the second lightning detection stations. For example, one station is first determined to be a master station and the other stations are child stations. And taking the pulse waveform of the main station as a main point, and calculating the pulse waveform of the sub station meeting the first screening condition according to the first screening condition. It should be noted that, in most cases, the number of the pulse waveforms of the sub-sites screened out is greater than 1, and all the pulse waveforms may belong to the same lightning pulse discharge event, and the pulse waveforms of the same lightning pulse discharge event are not determined in practice by the first screening. The peak of the pulse waveform is shown in particular by the circle in fig. 2.
In addition, in order to achieve better accuracy, all the lightning detection sites in the distributed lightning detection site network can be used as master sites respectively, other lightning detection sites except the master sites are used as slave sites respectively, and matching screening is performed sequentially to obtain pulse waveforms which possibly belong to the same lightning pulse discharge event in the plurality of lightning detection sites.
Step 103: performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; wherein the peak time of the homologous pulse waveform is used to represent the time when each lightning detection site receives a homologous pulse discharge event.
In the embodiment of the invention, the correlation coefficient of the hash value is calculated to be larger than the second preset value and is the maximum value or the block distance is smaller than the first preset value and is the minimum value according to the hash value of the pulse waveform of the main station and the hash values of all pulse waveforms of the sub-stations meeting the first screening condition, and the peak time of the pulse waveform of the homologous discharge event is obtained.
Specifically, due to different optimal algorithms corresponding to different division granularities, when the number of divided pulse amplitude variation intervals is less than a preset number (i.e., M equal parts are divided into coarse granularities), a block distance calculation is performed based on the hash value of the pulse waveform of the same lightning pulse discharge event, so as to determine a homologous pulse waveform with the smallest difference between the hash value of the pulse waveform of the first lightning detection site and less than the first preset value, and determine the peak time of the homologous pulse waveform. That is, under the condition that the M is set to be smaller (for example, equal to 6), the difference of hash values of the pulse waveforms in the preset time is calculated by using the block shortest path problem algorithm, and the pulse pair with the smallest difference and smaller than the first preset value is the matched homologous pulse waveform, so as to obtain the peak time of the corresponding homologous pulse waveform. That is, in the case that the number of divided pulse amplitude variation intervals is less than the preset number, the block distance calculation is performed based on the hash values of the possible pulse waveforms of the master station and the sub-stations, so as to determine, from the sub-stations, a homologous pulse waveform with a difference value smaller than the first preset value and being the smallest, for example, the calculated difference value includes 7, 9 and 12, and when the calculated difference value is 10, the difference value is 7 when the calculated difference value is smaller than the first preset value and is the smallest homologous pulse waveform.
For example: the used block shortest path problem algorithm specifically may include: assuming feature vectorsFeature vector +.>Block distance between the twod(i.e., the difference in hash values of the pulse waveform) is defined as:
；
where n is the length of each feature vector. The values of the block distances are all positive, a smaller value indicates a smaller difference in feature vectors,ithe representation corresponds to the number of bands divided.
And under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number (namely, M equal parts are divided into fine grains), performing correlation coefficient calculation based on the hash value of the pulse waveform of the same lightning pulse discharge event (namely, performing correlation calculation based on a characteristic vector corresponding to the hash value of the pulse waveform to obtain a correlation coefficient), determining a homologous pulse waveform with the maximum correlation coefficient with the hash value of the pulse waveform of the first lightning detection site and greater than a second preset value from the second lightning detection site, and determining the peak time of the homologous pulse waveform. That is, in the case where M is set to be large (for example, equal to 30), a correlation algorithm is used to calculate a correlation coefficient of hash values of pulse waveforms within a preset time, and a pulse pair having the largest correlation coefficient and being greater than a second preset value is a matched homologous pulse waveform. And obtaining the peak time of the corresponding homologous pulse waveform according to the matching information. That is, in the case that the number of divided pulse amplitude variation sections is greater than or equal to the preset number, the correlation coefficient calculation is performed based on the hash values of the possible pulse waveforms of the master station and the sub-stations, so as to determine, from the sub-stations, a homologous signal waveform whose correlation coefficient with the hash value of the pulse waveform of the master station is greater than a second preset value and is the largest, for example, the calculated correlation coefficient includes 7, 9, 12, and the second preset value 8, and when the correlation coefficient is greater than the second preset value and is the largest, the correlation coefficient may be 12.
The preset number can be specifically determined according to historical data, so that the peak time of the homologous pulse waveform determined in two ways is guaranteed to be the most accurate. The feature vector is a feature vector corresponding to the hash value. The hash value feature or feature hash is aimed at converting a data point into a feature vector.
For example: the correlation algorithm may include: assuming feature vectorsFeature vectorCorrelation coefficient between themrThe definition is as follows:
；
where n is the length of each feature vector. The value of the correlation coefficient ranges from-1 to +1. The value-1 of the correlation coefficient represents a complete negative correlation, while the value +1 of the correlation coefficient represents a complete positive correlation. A value of 0 for the correlation coefficient indicates that there is no correlation between the vectors;representing feature vectorsAMean value of->Representing feature vectorsBIs the average value of (2);ithe representation corresponds to the number of bands divided.
Step 104: and determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
In the implementation process of the step, the position data of the multiple lightning detection sites are required to be obtained in advance, and then the peak time of the homologous pulse waveforms corresponding to the multiple lightning detection sites and the position data of the multiple lightning detection sites are calculated based on a preset arrival time algorithm so as to determine the occurrence time and the target position of the homologous pulse discharge event. Wherein the arrival time algorithm (i.e., the estimated arrival time algorithm) is used to calculate the occurrence time and the target position of the homologous pulse discharge event based on the peak time and the position data of the homologous pulse waveforms of at least four lightning detection sites. For example, the Time of occurrence and the target location of a lightning pulse discharge event are calculated using a Time of Arrival algorithm (i.e., TOA location algorithm, time of Arrival) based on the peak times of the matching homologous pulse waveforms and the geographic locations of the respective lightning detection sites. The homologous pulse waveform is a homologous pulse waveform, and the peak time of the homologous pulse waveform is used for representing the time when the corresponding lightning detection station receives the homologous pulse discharge event. Furthermore, the occurrence time and the target position can be optimized by using an LM (Levenberg-Marquardt) algorithm, and the accurate three-dimensional position and time of the radiation source positioning can be calculated, which are not described in detail herein. The TOA positioning algorithm is one of the most widely applied algorithms in location services technology, and will not be described in detail here.
Fig. 5 is a schematic diagram of a lightning discharge event detected by a ground lightning detection site. The TOA algorithm specifically includes: it is assumed that the target location (i.e., the spatial coordinate location) and the time of occurrence of the lightning discharge event 500 can be expressed as (x, y, z, t), which are both unknowns to be solved. The location of the lightning detection site i and the time at which the lightning pulse discharge event is received (i.e. the peak time of the homologous pulse waveform) are (xi, yi, zi, ti) both of known quantity. From the above information, the distance relation between the lightning discharge event and the lightning detection site can be listed:
；
in the relation, c is the speed of light, and i is the number of the lightning detection station. Since there are (x, y, z, t) 4 parameters to be solved for the lightning event, it is known that at least 4 of the above distance relations are required for calculation, and thus the invention requires at least 4 lightning detection sites to be able to calculate the target position of the occurrence time of the lightning event. FIG. 7 is a diagram of the positioning result of a lightning pulse discharge event by using hash features.
The invention researches the expression capability of the characteristics to the lightning pulse electric field waveform, determines the characteristics with good expression effect according to the test result, and replaces the single peak characteristic. According to the lightning positioning method based on the hash value characteristics, hash values and peak time of pulse waveforms recorded by a plurality of lightning detection sites respectively are obtained; performing first screening on the pulse waveform based on peak time to obtain pulse waveforms meeting preset first screening conditions in a plurality of lightning detection sites; performing association analysis based on hash values of pulse waveforms meeting preset first screening conditions to obtain peak time of homologous pulse waveforms corresponding to a plurality of lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives the homologous pulse discharge event; the occurrence time and the target position of the homologous pulse discharge event are determined based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites, and the positioning efficiency and the positioning accuracy of the lightning pulse discharge event can be effectively improved.
Corresponding to the lightning positioning method based on the hash value characteristics, the invention further provides a lightning positioning device based on the hash value characteristics. Since the embodiments of the device are similar to the above-described method embodiments, the description is relatively simple, and reference should be made to the description of the above-described method embodiments, and the embodiments of the lightning location device based on hash value features described below are merely illustrative. Fig. 8 is a schematic structural diagram of a lightning location device based on hash value characteristics according to an embodiment of the present invention.
The invention relates to a lightning positioning device based on hash value characteristics, which specifically comprises the following parts:
a pulse waveform data obtaining unit 801, configured to obtain hash values and peak times of pulse waveforms recorded by a plurality of lightning detection sites respectively;
a pulse waveform screening unit 802, configured to perform a first screening on the pulse waveform based on the peak time, to obtain pulse waveforms meeting a preset first screening condition in the lightning detection sites;
a pulse waveform association analysis unit 803, configured to perform association analysis based on the hash value of the pulse waveform satisfying a preset first filtering condition, to obtain peak times of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event;
The lightning locating unit 804 is configured to determine an occurrence time and a target position of the homologous pulse discharge event based on peak time of homologous pulse waveforms corresponding to the lightning detection sites and position data of the lightning detection sites.
Further, the pulse waveform data acquisition unit is specifically configured to:
dividing pulse waveforms recorded by the lightning detection sites into a plurality of equal-divided wave bands according to the corresponding time sequence, and determining the average value of the pulse amplitude of each wave band;
dividing pulse waveforms respectively recorded by the lightning detection sites into a plurality of equal pulse amplitude variation intervals according to the corresponding absolute variation ranges of the pulse amplitude values;
determining hash values of pulse waveforms respectively recorded by the plurality of lightning detection sites based on the corresponding relation between the pulse amplitude average value and the pulse amplitude variation interval and the numerical value corresponding to the pulse amplitude variation interval; the hash value of the pulse waveform comprises a plurality of hash values corresponding to a plurality of wave bands respectively.
Further, the pulse waveform screening unit is specifically configured to:
determining a first screening condition; the first screening condition is that the peak time difference of pulse waveforms between any two lightning detection sites in the plurality of lightning detection sites is smaller than the light velocity propagation time between the two lightning detection sites;
Determining peak time of a pulse waveform recorded by a first lightning detection site from the plurality of lightning detection sites, and respectively differencing the peak time of the pulse waveform recorded by a second lightning detection site from the plurality of lightning detection sites with the peak time of the pulse waveform recorded by the first lightning detection site to obtain a time difference;
comparing the time difference with the light speed propagation time between the corresponding lightning detection stations respectively to obtain pulse waveforms meeting preset first screening conditions in the pulse waveforms of the second lightning detection stations;
wherein the second lightning detection site is a plurality of lightning detection sites determined from the plurality of lightning detection sites other than the first lightning detection site.
Further, the pulse waveform correlation analysis unit is specifically configured to:
under the condition that the number of divided pulse amplitude variation intervals is smaller than the preset number, carrying out block distance calculation on the hash value of the pulse waveform meeting the preset first screening condition so as to determine a homologous pulse waveform with the smallest hash value difference with the pulse waveform of the first lightning detection station from the second lightning detection station and smaller than the first preset value, and determining the peak time of the homologous pulse waveform; or alternatively, the process may be performed,
And under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number, calculating a correlation coefficient of the hash value of the pulse waveform meeting the preset first screening condition, so as to determine a homologous pulse waveform with the maximum correlation coefficient of the hash value of the pulse waveform of the first lightning detection station and greater than a second preset value from the second lightning detection station, and determining the peak time of the homologous pulse waveform.
Further, before the hash values of the pulse waveforms recorded by the lightning detection sites are obtained, the method further comprises:
the pulse waveform determining unit is used for acquiring original pulse waveform data of lightning pulse discharge signals acquired by the plurality of lightning detection sites in advance, carrying out band-pass filtering processing on the original pulse waveform data to obtain corresponding pulse frequency bands, and carrying out normalization processing on the pulse frequency bands to obtain target pulse frequency bands corresponding to the plurality of lightning detection sites respectively; the lightning pulse discharge signal is a signal generated by a lightning pulse discharge event;
and searching a pulse peak from the target pulse frequency band based on a preset pulse amplitude threshold value and a preset time interval, and obtaining pulse waveforms of single discharge pulses corresponding to the lightning detection sites respectively.
Further, the lightning locating unit is specifically configured to:
acquiring location data of the plurality of lightning detection sites;
calculating based on the peak time of the target pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites by using a preset arrival time algorithm so as to determine the occurrence time and the target position of the homologous pulse discharge event;
the arrival time algorithm is used for calculating the occurrence time and the target position of the homologous pulse discharge event based on the peak time and the position data of the homologous pulse waveforms of at least four lightning detection sites.
According to the lightning positioning device based on the hash value characteristics, hash values and peak time of pulse waveforms recorded by a plurality of lightning detection sites respectively are obtained; performing first screening on the pulse waveform based on peak time to obtain pulse waveforms meeting preset first screening conditions in a plurality of lightning detection sites; performing association analysis based on hash values of pulse waveforms meeting preset first screening conditions to obtain peak time of homologous pulse waveforms corresponding to a plurality of lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives the homologous pulse discharge event; the occurrence time and the target position of the homologous pulse discharge event are determined based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites, and the positioning efficiency and the positioning accuracy of the lightning pulse discharge event can be effectively improved.
Corresponding to the lightning positioning method based on the hash value characteristics, the invention further provides electronic equipment. Since the embodiments of the electronic device are similar to the method embodiments described above, the description is relatively simple, and reference should be made to the description of the method embodiments described above, and the electronic device described below is merely illustrative. Fig. 9 is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention. The electronic device may include: a processor (processor) 901, a memory (memory) 902, and a communication bus 903, wherein the processor 901, the memory 902, and the communication bus 903 are used to communicate with each other, and the communication interface 904 is used to communicate with the outside. The processor 901 may call logic instructions in the memory 902 to perform a lightning location method based on the hash value feature, the method comprising: acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively; performing first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites; performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event; and determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
Further, the logic instructions in the memory 902 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a Memory chip, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present invention further provide a computer program product, which includes a computer program stored on a processor readable storage medium, the computer program including program instructions which, when executed by a computer, are capable of executing the lightning location method based on the hash value feature provided in the above method embodiments. The method comprises the following steps: acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively; performing first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites; performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event; and determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
In yet another aspect, embodiments of the present invention further provide a processor-readable storage medium having a computer program stored thereon, which when executed by a processor is implemented to perform the lightning location method based on the hash value feature provided in the above embodiments. The method comprises the following steps: acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively; performing first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites; performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event; and determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), and the like.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A lightning positioning method based on hash value characteristics is characterized by comprising the following steps:
acquiring hash values and peak time of pulse waveforms recorded by a plurality of lightning detection stations respectively;
performing first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites;
performing association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event;
And determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
2. The lightning positioning method based on the hash value characteristics according to claim 1, wherein the correlation analysis is performed based on the hash values of the pulse waveforms satisfying the preset first filtering condition to obtain peak times of homologous pulse waveforms corresponding to the plurality of lightning detection sites, specifically including:
under the condition that the number of divided pulse amplitude variation intervals is smaller than the preset number, carrying out block distance calculation on the hash value of the pulse waveform meeting the preset first screening condition so as to determine a homologous pulse waveform with the smallest hash value difference with the pulse waveform of the first lightning detection station from the second lightning detection station and smaller than the first preset value, and determining the peak time of the homologous pulse waveform; or alternatively, the process may be performed,
and under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number, calculating a correlation coefficient of the hash value of the pulse waveform meeting the preset first screening condition, so as to determine a homologous pulse waveform with the maximum correlation coefficient of the hash value of the pulse waveform of the first lightning detection station and greater than a second preset value from the second lightning detection station, and determining the peak time of the homologous pulse waveform.
3. The lightning positioning method based on hash value characteristics according to claim 1, wherein the first filtering of the pulse waveform based on the peak time is performed to obtain pulse waveforms meeting a preset first filtering condition in the plurality of lightning detection sites, and specifically includes:
determining a first screening condition; the first screening condition is that the peak time difference of pulse waveforms between any two lightning detection sites in the plurality of lightning detection sites is smaller than the light velocity propagation time between the two lightning detection sites;
determining peak time of a pulse waveform recorded by a first lightning detection site from the plurality of lightning detection sites, and respectively differencing the peak time of the pulse waveform recorded by a second lightning detection site from the plurality of lightning detection sites with the peak time of the pulse waveform recorded by the first lightning detection site to obtain a time difference;
comparing the time difference with the light speed propagation time between the corresponding lightning detection stations respectively to obtain pulse waveforms meeting preset first screening conditions in the pulse waveforms of the second lightning detection stations;
wherein the second lightning detection site is a plurality of lightning detection sites determined from the plurality of lightning detection sites other than the first lightning detection site.
4. The lightning locating method based on the hash value characteristics according to claim 1, wherein the obtaining hash values of pulse waveforms respectively recorded by a plurality of lightning detection sites specifically comprises:
dividing pulse waveforms recorded by the lightning detection sites into a plurality of equal-divided wave bands according to the corresponding time sequence, and determining the average value of the pulse amplitude of each wave band;
dividing pulse waveforms respectively recorded by the lightning detection sites into a plurality of equal pulse amplitude variation intervals according to the corresponding absolute variation ranges of the pulse amplitude values;
determining hash values of pulse waveforms respectively recorded by the plurality of lightning detection sites based on the corresponding relation between the pulse amplitude average value and the pulse amplitude variation interval and the numerical value corresponding to the pulse amplitude variation interval; the hash value of the pulse waveform comprises a plurality of hash values corresponding to a plurality of wave bands respectively.
5. The lightning locating method based on the hash value feature according to claim 1, further comprising, before acquiring the hash values of the pulse waveforms respectively recorded by the plurality of lightning detection sites:
the method comprises the steps of obtaining original pulse waveform data of lightning pulse discharge signals collected by a plurality of lightning detection sites in advance, carrying out band-pass filtering processing on the original pulse waveform data to obtain corresponding pulse frequency bands, and carrying out normalization processing on the pulse frequency bands to obtain target pulse frequency bands corresponding to the lightning detection sites respectively; the lightning pulse discharge signal is a signal generated by a lightning pulse discharge event;
And searching a pulse peak from the target pulse frequency band based on a preset pulse amplitude threshold value and a preset time interval, and obtaining pulse waveforms of single discharge pulses corresponding to the lightning detection sites respectively.
6. The lightning locating method based on hash value characteristics according to claim 1, wherein the determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites specifically comprises:
acquiring location data of the plurality of lightning detection sites;
calculating based on the peak time of the target pulse waveform corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites by using a preset arrival time algorithm so as to determine the occurrence time and the target position of the homologous pulse discharge event;
the arrival time algorithm is used for calculating the occurrence time and the target position of the homologous pulse discharge event based on the peak time and the position data of the homologous pulse waveforms of at least four lightning detection sites.
7. A lightning locating device based on hash value characteristics, comprising:
The pulse waveform data acquisition unit is used for acquiring hash values and peak time of pulse waveforms recorded by the lightning detection sites respectively;
the pulse waveform screening unit is used for carrying out first screening on the pulse waveform based on the peak time to obtain pulse waveforms meeting preset first screening conditions in the plurality of lightning detection sites;
the pulse waveform association analysis unit is used for carrying out association analysis based on the hash value of the pulse waveform meeting the preset first screening condition to obtain peak time of homologous pulse waveforms corresponding to the lightning detection sites; the peak time of the homologous pulse waveform is used for representing the time when each lightning detection station receives a homologous pulse discharge event;
and the lightning positioning unit is used for determining the occurrence time and the target position of the homologous pulse discharge event based on the peak time of the homologous pulse waveforms corresponding to the plurality of lightning detection sites and the position data of the plurality of lightning detection sites.
8. The lightning locating device based on hash value characteristics according to claim 7, wherein the pulse waveform correlation analysis unit is specifically configured to:
Under the condition that the number of divided pulse amplitude variation intervals is smaller than the preset number, carrying out block distance calculation on the hash value of the pulse waveform meeting the preset first screening condition so as to determine a homologous pulse waveform with the smallest hash value difference with the pulse waveform of the first lightning detection station from the second lightning detection station and smaller than the first preset value, and determining the peak time of the homologous pulse waveform; or alternatively, the process may be performed,
and under the condition that the number of the divided pulse amplitude variation intervals is greater than or equal to the preset number, calculating a correlation coefficient of the hash value of the pulse waveform meeting the preset first screening condition, so as to determine a homologous pulse waveform with the maximum correlation coefficient of the hash value of the pulse waveform of the first lightning detection station and greater than a second preset value from the second lightning detection station, and determining the peak time of the homologous pulse waveform.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the lightning location method based on hash value features as claimed in any of claims 1 to 6 when the computer program is executed.
10. A processor readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of a lightning location method based on hash value features as claimed in any of claims 1 to 6.
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