CN111624412A - Lightning connection point positioning method, system, equipment and readable storage medium - Google Patents
Lightning connection point positioning method, system, equipment and readable storage medium Download PDFInfo
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- CN111624412A CN111624412A CN202010319084.0A CN202010319084A CN111624412A CN 111624412 A CN111624412 A CN 111624412A CN 202010319084 A CN202010319084 A CN 202010319084A CN 111624412 A CN111624412 A CN 111624412A
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0807—Measuring electromagnetic field characteristics characterised by the application
- G01R29/0814—Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
- G01R29/0842—Measurements related to lightning, e.g. measuring electric disturbances, warning systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/12—Measuring electrostatic fields or voltage-potential
Abstract
The embodiment of the application discloses a lightning connection point positioning method, a lightning connection point positioning system, lightning connection point positioning equipment and a readable storage medium, wherein the method comprises the following steps: collecting infrasonic wave signals and electric field signals in the lightning step leading generation process by using a measuring point; determining a mutation point of the infrasonic wave signal by utilizing a cross power spectrum method and Fourier transform, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the infrasonic wave signal to the measurement point; performing Fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point; and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point. Thereby accurately locating the lightning connection point.
Description
Technical Field
The embodiment of the application relates to the technical field of lightning detection, in particular to a lightning connection point positioning method, a lightning connection point positioning system, lightning connection point positioning equipment and a readable storage medium.
Background
With the continuous development of society, more and more tall buildings appear in our field of vision. It has been found that in nature, most of the terrestrial flashes are descending, i.e. they are generated from clouds and arrive directly at the ground.
The ladder leader is the initial stage of ground lightning discharge in the lightning process, and is the weak ionization process that is indispensable before the heavy current strike-back process takes place, when ladder leader head gradually is close to the ground downwards, the discharge process that can induce the upgoing on the prominence (tall building, a tree on the plain etc.) on ground, and then produces the connection, and the first strike-back takes place afterwards. Therefore, the lightning connection point is measured and positioned, so that the physical mechanism of the lightning generation process is favorably researched, and reasonable lightning protection measures are favorably adopted.
The study of lightning connection points has so far mainly been: 1. observing the positioning network by using the change of the electromagnetic field, researching the step pilot channel by using multi-parameter data of the change of the electric field, the change rate of the electric field, the change of the magnetic field and the change rate of the magnetic field, and observing the connection point; the step pilot channel is researched, the connecting point is observed, and a large amount of data information calculation is needed in the research method process. 2. The high-speed camera shooting technology can be used for presenting the luminous information and the geometric shape of the lightning discharge channel with higher space-time resolution, and researching and analyzing the luminous characteristics of the lightning leader to find and determine the connecting point of the step leader. However, this method is limited by the time resolution of the high-speed camera, and the optical data is still very poor, and further optimization is required.
How to accurately detect and position the connection point of lightning is an urgent problem to be solved.
Disclosure of Invention
Therefore, the embodiment of the application provides a lightning connection point positioning method, a lightning connection point positioning system, a lightning connection point positioning device and a readable storage medium, and the lightning connection point is accurately positioned.
In order to achieve the above object, the embodiments of the present application provide the following technical solutions:
according to a first aspect of embodiments of the present application, there is provided a lightning connection point location method, comprising the steps of:
collecting infrasonic wave signals and electric field signals in the lightning step leading generation process by using a measuring point;
performing primary processing on the infrasonic wave signals by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measurement point;
performing Fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point;
and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point.
Optionally, the calculating a time difference between arrival of the infrasonic wave signal and the electric field signal at the lightning connection point at the measurement point to obtain a location distance of the lightning connection point includes:
and positioning the lightning connection point by using a TDOA method to obtain the position information of the lightning connection point.
Optionally, the preliminary processing on the infrasonic wave signal by using a cross-power spectrum method includes:
extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
Optionally, the fourier transforming the electric field signal to obtain a frequency spectrum of the electric field signal includes:
the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
According to a second aspect of embodiments of the present application, there is provided a lightning connection point location system comprising:
the signal acquisition module is used for acquiring infrasonic wave signals and electric field signals in the lightning step leading generation process by using the measuring points;
the infrasonic wave signal processing module is used for carrying out primary processing on the infrasonic wave signals by using a cross-power spectrum method, carrying out Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measuring point;
the electric field signal processing module is used for carrying out Fourier transform on the electric field signal to obtain the frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point;
and the lightning connection point positioning module is used for calculating the time difference of arrival of the infrasonic wave signal and the electric field signal at the lightning connection point to the measuring point to obtain the positioning distance of the lightning connection point.
Optionally, the lightning connection point location module is specifically configured to: and positioning the lightning connection point by using a TDOA method to obtain the position information of the lightning connection point.
Optionally, the infrasonic signal processing module is specifically configured to:
extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
Optionally, the electric field signal processing module is specifically configured to:
the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
According to a third aspect of embodiments herein, there is provided an apparatus comprising: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method according to any of the above first aspects.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of the first aspects above.
In summary, the embodiments of the present application provide a method, a system, a device and a readable storage medium for positioning a lightning connection point, which collect an infrasonic wave signal and an electric field signal during a step leading process of lightning by using a measurement point; performing primary processing on the infrasonic wave signals by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measurement point; performing Fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point; and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point. Thereby accurately locating the lightning connection point.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Fig. 1 is a schematic flow chart of a lightning connection point positioning method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an embodiment of a lightning connection point provided by an embodiment of the present application;
FIG. 3 illustrates a lightning connection point system architecture provided by an embodiment of the present application;
figure 4 is a block diagram of a lightning connection point location system according to an embodiment of the present application.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
After studying the lightning phenomenon, it was found that two types of sound radiation are generated during lightning: one is caused by the rapid expansion of the lightning discharge heat channel and belongs to audible thunder; the other is the sound produced by the energy conversion stored in the electrostatic field of the thunderstorm cloud when lightning causes a rapid reduction of the electric field in the cloud, which is infrasound.
Because infrasonic signals are strong and less in interference in the lightning process, the infrasonic signals existing in the step pilot generation process are detected, and the change condition of the infrasonic waves at the connecting point is detected, so that the connecting point is determined; meanwhile, detecting an electric field in the step pilot process, recording data of electric field signals, carrying out spectrum analysis by utilizing Fourier transform, finding a mutation point of the electric field on a spectrum when a connection point occurs, and determining the connection point; and finally, measuring the distance of the connecting point by using the TDOA method according to the obtained electric field and the obtained infrasonic wave signal.
And for detecting the acquired infrasonic wave signals, performing data processing by using a power spectrum method. First, cross-correlation (also sometimes referred to as "cross-covariance") is a metric used to represent the similarity between two signals, typically by comparison with known signals to find features in unknown signals. It is a function of time between two signals, sometimes referred to as a sliding dot product, and has applications in the fields of pattern recognition and cryptanalysis. The above properties of the cross-correlation function have very important application values in the engineering field. For example, the extraction of specific frequency components in signals mixed with periodic components, and the application in image registration in terms of linear localization and associated velocimetry.
Aiming at the defects of the existing research method, the embodiment of the application provides a method for speculating the connection point of lightning by using a cross-power spectrum method so as to improve the positioning accuracy. Based on the cross-correlation theory, the noise is extracted and separated by utilizing the correlation between the noises, the cross-power spectrum between the two signals is solved, the instantaneous change point of the infrasound signal at the connecting point is distinguished in the frequency domain spectrum, different infrasound frequencies generated by different channels can be distinguished by utilizing the cross-power spectrum method, the anti-noise capability of the infrasound signal is enhanced, and the accuracy and the precision of the measuring connecting point are improved.
Fig. 1 shows a schematic flow chart of a lightning connection point locating method provided by an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
step 101: and collecting infrasonic wave signals and electric field signals in the lightning step leading generation process by using the measuring points.
Step 102: performing primary processing on the infrasonic wave signals by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining the catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measurement point.
Step 103: the method comprises the steps of carrying out Fourier transform on an electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to a measurement point.
Step 104: and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point.
In step 102, the preliminary processing on the infrasonic wave signal by using the cross-power spectrum method includes: extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
Since the cross-correlation function is Fourier with the cross-power spectrum, assume x1(t) and x2(t) models the acoustic signal for two different devices, calculated according to equations (1) and (2) below:
x1(t)＝s(t-τ1)+n1(t) … … formula (1)
x2(t)＝s(t-τ2)+n2(t) … … formula (2)
n1And n2Is independent of noise and is independent of signal s (t). x is the number of1(t) and x2(t) the cross-correlation function between two signals is expressed as in equation (3):
R12＝E[x1(t)x2(t-τ)]＝E[s(t-τ1)s(t-τ1-τ)]+E[s(t-τ1)n2(t-τ)]+E[s(t-τ2-τ)n1(t)]+E[n1(t)n2(t-τ)]… … formula (3)
Due to the principle of mutual independence, the formula (3) can be simplified to obtain the formula (4):
R12＝E[s(t-τ1)s(t-τ1-τ)]＝Rxx(τ-(τ1-τ2) … … formula (4)
Further Fourier transform is performed on the formula (4) to obtain x1(t) and x2(t) the cross-power spectrum of the signal is represented by equation (5):
based on the cross-correlation theory, the noise is extracted and separated by utilizing the correlation between the noises, the cross-power spectrum between the two signals is solved, the instantaneous change point of the infrasound signal at the connecting point is distinguished in the frequency domain spectrum, different infrasound frequencies generated by different channels can be distinguished by utilizing the cross-power spectrum method, the anti-noise capability of the sound signal is enhanced, and the accuracy of the measuring connecting point are improved.
In step 103, the fourier transform of the electric field signal to obtain a frequency spectrum of the electric field signal includes: the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
In the step leading generation process of lightning, an electric field exists, an electric field signal is collected, signal points of which the electric field changes at connecting points are screened, the signal points are recorded, data of the electric field on a time domain are converted into frequency spectrum by utilizing Fourier transform, the frequency spectrum conversion can effectively filter the influence of other irrelevant information, the electric field at the connecting points at the moment can be more effectively analyzed, the lightning connecting points are determined, and the lightning connecting points can be specifically expressed according to the formula (6):
in step 104, the lightning connection point is located by using a TDOA method, and the position information of the lightning connection point is obtained. And finally, measuring the distance between the moment and the connection point by using TDOA (time difference of arrival) by utilizing the real time between the infrasonic wave at the moment of mutation and the electric field signal at the moment, thereby positioning the connection point.
The method comprises the steps of firstly carrying out preliminary data processing on infrasonic wave signals collected by detection equipment through a cross-correlation method, then carrying out Fourier transform on the data to obtain data analysis through a cross-power spectrum method, finding the catastrophe point of the infrasonic wave at the connecting point, and further determining the connecting point at the moment. The electric field signal detected by the detection equipment converts data obtained from a time domain into a frequency domain through Fourier transform, analyzes the electric field data in the frequency domain to obtain the position of a lightning connection point, and determines the connection point at the moment. And calculating the distance to the connecting point by determining the time difference between the electric field signal and the infrasonic wave signal at the connecting point and the measuring equipment, namely calculating the distance by adopting a TDOA method to perform positioning. The infrasonic wave signals at the mutation positions are processed by using a cross-power spectrum method, so that noise can be effectively filtered, and the accuracy of data is improved; fourier transform is used for electric field signal processing, data are analyzed in a frequency domain, accuracy is further improved, and the method is simpler and more convenient.
In order to make the lightning connection point location method provided by the embodiment of the present application clearer, it is now explained with reference to fig. 2 and 3.
Fig. 2 shows a schematic diagram of an embodiment of a lightning connection point positioning method provided by an embodiment of the present application, and fig. 3 shows a lightning connection point positioning system architecture provided by the embodiment of the present application, which first collects infrasonic signals, further records abrupt infrasonic signals and processes the infrasonic signals by using a cross-power spectrum method, and further records time from the abrupt infrasonic signals to a measurement point; simultaneously collecting electric field signals, further recording the electric field signals, and performing Fourier transform processing on collected data to obtain a frequency spectrum of the electric field; recording the time at which the junction is determined from the electric field; further, calculating the distance by using the time difference between the infrasonic wave and the electric field signal at the sudden change moment and reaching the measuring point; and obtaining a lightning connection point and a positioning distance. The time difference between an electric field and an infrasonic wave signal in the lightning step pilot process is utilized to locate the lightning connection point.
The method for positioning the lightning connection point provided by the embodiment of the application is to study an electric field signal and an existing infrasonic wave signal in the lightning step pilot process, the method for positioning the lightning connection point provided by the embodiment of the application processes the tested infrasonic wave data by using a cross-power spectrum method, so that the influence of noise and irrelevant signals on observation data can be effectively inhibited on the basis of keeping the accuracy of original data, and the data analysis and processing can be more effectively improved; regarding the signal of the electric field, the distribution of the acquired time domain signal to the frequency domain signal of the electric field signal through Fourier transform is realized, the sudden change of the electric field of a connecting point is found from the frequency spectrum, and the connecting point of lightning is determined; and finally, calculating distance information between the measuring point and the connecting point by using the time difference between the infrasonic wave at the moment of change and the electric field at the moment of arrival. By using the method, more accurate lightning connection points are estimated, and the positioning accuracy is improved.
In summary, the embodiment of the present application provides a method for positioning a lightning connection point, which collects an infrasonic wave signal and an electric field signal in a step leading generation process of lightning by using a measurement point; performing primary processing on the infrasonic wave signals by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measurement point; performing Fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point; and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point. Thereby accurately locating the lightning connection point.
Based on the same technical concept, the embodiment of the present application further provides a lightning connection point positioning system, as shown in fig. 4, the system includes:
and the signal acquisition module 401 is configured to acquire an infrasonic wave signal and an electric field signal during a step leading process of lightning by using the measurement point.
The infrasonic wave signal processing module 402 is used for performing primary processing on the infrasonic wave signal by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signal, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signal to the measurement point.
The electric field signal processing module 403 is configured to perform fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determine a discontinuity point of the electric field signal according to a change characteristic of the frequency spectrum of the electric field signal, determine the discontinuity point as a lightning connection point at the moment, and record time from the discontinuity point of the electric field signal to the measurement point.
And the lightning connection point positioning module 404 is configured to calculate a time difference between the infrasonic wave signal and the electric field signal at the lightning connection point and reaching the measurement point, and obtain a positioning distance of the lightning connection point.
In a possible implementation, the lightning connection point location module 404 is specifically configured to: and positioning the lightning connection point by using a TDOA method to obtain the position information of the lightning connection point.
In a possible implementation manner, the infrasonic signal processing module 402 is specifically configured to: extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
In a possible implementation manner, the electric field signal processing module 403 is specifically configured to: the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
Based on the same technical concept, an embodiment of the present application further provides an apparatus, including: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method according to any of the above methods.
Based on the same technical concept, the embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium contains one or more program instructions, and the one or more program instructions are used for executing the method according to any one of the above methods.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
It is noted that while the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not a requirement or suggestion that the operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Although the present application provides method steps as in embodiments or flowcharts, additional or fewer steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A lightning connection point location method, the method comprising:
collecting infrasonic wave signals and electric field signals in the lightning step leading generation process by using a measuring point;
performing primary processing on the infrasonic wave signals by using a cross-power spectrum method, performing Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measurement point;
performing Fourier transform on the electric field signal to obtain a frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point;
and calculating the time difference of the infrasonic wave signal and the electric field signal at the lightning connection point to the measurement point to obtain the positioning distance of the lightning connection point.
2. The method of claim 1, wherein calculating the time difference between the arrival of the infrasonic signal and the electric field signal at the lightning connection point at the measurement point to obtain the location distance of the lightning connection point comprises:
and positioning the lightning connection point by using a TDOA method to obtain the position information of the lightning connection point.
3. The method of claim 1, wherein said preliminary processing of the infrasonic signal using cross-power spectroscopy comprises:
extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
4. The method of claim 1, wherein fourier transforming the electric field signal to obtain a frequency spectrum of the electric field signal comprises:
the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
5. A lightning connection point location system, the system comprising:
the signal acquisition module is used for acquiring infrasonic wave signals and electric field signals in the lightning step leading generation process by using the measuring points;
the infrasonic wave signal processing module is used for carrying out primary processing on the infrasonic wave signals by using a cross-power spectrum method, carrying out Fourier transform on the infrasonic wave data after the primary processing, determining a catastrophe point of the infrasonic wave signals, determining the catastrophe point as a lightning connection point at the moment, and recording the time from the catastrophe point of the infrasonic wave signals to the measuring point;
the electric field signal processing module is used for carrying out Fourier transform on the electric field signal to obtain the frequency spectrum of the electric field signal, determining a mutation point of the electric field signal according to the change characteristic of the frequency spectrum of the electric field signal, determining the mutation point as a lightning connection point at the moment, and recording the time from the mutation point of the electric field signal to the measurement point;
and the lightning connection point positioning module is used for calculating the time difference of arrival of the infrasonic wave signal and the electric field signal at the lightning connection point to the measuring point to obtain the positioning distance of the lightning connection point.
6. The system of claim 5, wherein the lightning connection point location module is specifically configured to: and positioning the lightning connection point by using a TDOA method to obtain the position information of the lightning connection point.
7. The system of claim 6, wherein the infrasonic signal processing module is specifically configured to:
extracting and separating the infrasonic signals according to the correlation between the infrasonic signals to obtain a cross-power spectrum between the two signals, and recording the cross-power spectrum in a frequency domain spectrum to distinguish instantaneous change points of the infrasonic signals at lightning connection points.
8. The system of claim 6, wherein the electric field signal processing module is specifically configured to:
the time domain data of the electric field signal is converted into frequency spectrum data of the electric field signal by Fourier transform.
9. An apparatus, characterized in that the apparatus comprises: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of any of claims 1-4.
10. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of claims 1-4.
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