CN107490781A - Use mobile terminal detection and the method for co-located lightning - Google Patents
Use mobile terminal detection and the method for co-located lightning Download PDFInfo
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- H—ELECTRICITY
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- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
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Abstract
The present invention relates to a kind of lighting location field, it discloses a kind of using mobile terminal detection and the method for co-located lightning, comprises the following steps：S1, by using the magnetometer of smart machine with certain frequency collection lightning data；S2, the data that magnetometer collects are handled；S3, time-domain analysis and frequency-domain analysis are carried out to the frame data after division.Beneficial effects of the present invention：By the method in the present invention, lightning distance can be precisely obtained, and it is cost-effective, it is widely used.
Description
Technical field
The present invention relates to a kind of lighting location field, more particularly to one kind to use mobile terminal detection and co-located lightning
Method.
Background technology
Lightning is strong electric discharge phenomena (the general hair between Yun Yuyun, between cloud and ground or in cloud body between each position
Life is in cumulonimbus).Typically storm cloud (cumulonimbus) produces electric charge, and bottom is negative electricity, and top layer is positive electricity, but also on ground
Positive electricity is produced, follows cloud movement like the shadow following the personly.Positive charge and negative electrical charge are attracting each other, but air is not good conduction
Body.Positive charge marches on towards trees, massif, the top of high-lager building even on human body, attempts and the cloud layer with negative electricity meets；
The dendritic feeler of negative electrical charge then stretches downwards, stretches downwards closer to ground.Last positive and negative charge overcomes the barrier of air finally
And on connecting.Huge electric current, directly to like surging clouds going, produces bright brilliant flash of light together along a conducting airways from ground.
The lightning that naked eyes are seen, its process is very complicated.When thundercloud moves on to somewhere, the middle and lower part of cloud is strong
Big center of negative charge, the relative underlying surface in cloud base become center of positive charge, strong electric field are formed between cloud base and ground.In electric charge
Cumulative, in the case that electric field is increasingly stronger, there is one section of gas column that air is ionized strongly first in cloud base, claims step first
Lead.This ionization gas column earthward extends step by step, and every grade of stepped leader is about 5 meters of diameter, long 50 meters, about 100 amperes of electric current
Dim light beam, it stretches to ground one by one with the high speed of average about 150000 meter per seconds, at 5-50 meters or so from the ground
When, ground is just fought back upwards suddenly, and the passage of counterattack is from ground to cloud base, and the ionization hewed out along above-mentioned stepped leader is led to
Road.Counterattack is speeded to cloud base with the more speed of 50,000 kilometer per seconds from ground, is sent bright incomparable light beam, is lasted 40 microseconds, leads to
Overcurrent is trained more than 1 Wan An, and this launch as surprise attack for the first time.It is separated by after a few percent second, a piece dim light beam from cloud, carries huge
High current, go at express speed earthward, to claim continuous leader along the path launch aed surprise attack for the first time, when it 5-50 meters or so from the ground when, ground is again
Fight back upwards, re-form bright incomparable light beam, this launch as surprise attack for the second time.And similar third and fourth time is produced for the second time
Launch a surprise attack.Generally launch aed surprise attack by 3-4 times and form a Lightning Process.Lightning Process lasts about 0.25 second, within this short time,
To discharge huge electric energy on narrow narrow lightning channel, thus form strong blast, produce shock wave, then formed sound wave to
Surrounding is spread, and here it is thunder or says " thundering ", while EMP (electromagnetic pulse), thunder and lightning electromagnetism arteries and veins can be produced in the moment of electric discharge
Punching is exactly the electromagnetic radiation being associated with thunder discharge.Lightning electromagnetic radiation and nuclear explosion electromagnetic radiation are closely similar, are radiated
The electromagnetic wave gone out is from VLF (very low frequency) to UHF (very high frequency(VHF)), the very electromagnetic pulse of wideband, and caused electric field and magnetic field can
It is coupled in electrical equipment or electronic system, so as to produce interfering surge current or surge voltage.Electricity of the electromagnetic pulse to precision
Sub- component has very strong interference, or even burns out electronic component.
The harm of lightning
Because the energy that lightning contains is huge, lightning hits rear powerful lightning current and flows through organism, produces during this
Raw fuel factor and biological effect is the main reason for damaging, and because human body has certain resistance, powerful electric current flows through
During human body substantial amounts of heat can be produced in moment so that human body skin and internal's carbonization, exactly " burn ", and biology effect
It should be then that electric current can tremble cardiac muscle fibre when flowing through heart, cause the stopping of heartbeat.Every year all someone be electrically shocked it is dead,
Production activity of the thunder and lightning to the mankind causes very big influence.
Existing lightning detection technique
1. lightning detection network is such as：Lightning detection network (the U.S.National Lighting Detecting in the U.S.
Network), China national Lightning monitoring positioning net.
NLDN is by being arranged in many individual sensor nodes of different regions, and to be detected to lightning, it is the U.S.
Power system department, weather forecast system and some other government departments, and some commercial departments provide service, including reality
When data and historical data.But NLDN needs to arrange special sensor node, and general public use needs to pay.
2. business personal portable lightning detection device
It is popular it is a kind of be to be existed using the personal thunder and lightning special inspecting equipment of the pager size of battery, this equipment
It is relatively popular in the people of some outworks, such as golf person, camper, sports person and some other
Outdoor exercises person.This equipment judges the distance of lightning relative usage person by detecting EMP (electromagnetic pulse) intensity, but
Be it to have shortcoming be exactly easy erroneous judgement distance, it can not position the position of lightning generation certainly.Also some other specialties
Thunder and lightning detection device, better performances, but it is expensive.
The content of the invention
In order to overcome above-mentioned signified weak point of the prior art, the present invention is provided one kind and detected using mobile terminal
With the method for co-located lightning, solve the problems, such as it is above-mentioned in the prior art easily erroneous judgement apart from.
The present invention is achieved by the following technical solutions:It is a kind of to use mobile terminal detection and the side of co-located lightning
Method, comprise the following steps：
S1, by using setting magnetometer on mobile terminals with certain frequency collection Lightning data；
S2, the data that magnetometer collects are handled, and it is divided into sequentially in time multiple there is setting
The frame data of time span；
S3, time-domain analysis and frequency-domain analysis are carried out respectively to the frame data after division, obtain multiple features ginseng of the data
Amount；And judge whether the magnetic induction data of lightning formation by the obtained characteristic parameter, in this way, determine that lightning forms the time
And open microphone and receive thunder signal；
S4, smart machine processing unit by lightning formed time and thunder receive the time calculate lightning discharge position with
The distance of the mobile terminal, while by the mobile terminal to the numbering of the lightning and distance, the lightning shape of above-mentioned discharge position
Service end is uploaded to by wireless network into time and location information of mobile terminal；
The above- mentioned information that S5, service end are uploaded by multiple mobile terminals, a certain moment lightning is positioned according to geometrical principle
The position of electric discharge, generation lightning discharge thermal map return to the multiple mobile terminal.
As a further improvement on the present invention：The step S2 includes：
S 21, the magnetic strength induction signal to magnetometer output are divided, and it is divided at set time intervals
Multistage, every section of adjacent on a timeline and every section time span are identical；One section of magnetic strength induction signal is a data frame, to each
Data frame assigns its initial time and marked as its time；
S 22, noise reduction process is carried out to each data frame, using wave filter to signal filtering process, remove noise.
As a further improvement on the present invention：The step S3 includes：
S31A, time-domain analysis is carried out to the signal data in each data frame, obtain its temporal signatures, the temporal signatures
Including signal amplitude, signal energy and signal statistics amount；
S31B, to the signal data in the data frame, use Short Time Fourier Transform function pair data-signal to carry out Fu
In leaf transformation, the frequency domain of signal is analyzed, obtains its frequency domain character, the frequency domain character includes：Spectral centroid, spectrum entropy,
Bandwidth, spectrum flux and spectrum roll-off；
S32, the above-mentioned temporal signatures and frequency domain character for combining a data frame, obtain the parameter set of the data frame, use
The parameter set determines in this way, to trigger microphone gathered data with the presence or absence of electric discharge and discharge time in the data frame；
S33, time frequency analysis, the time that detection thunder reaches are carried out by the voice signal collected to microphone.
As a further improvement on the present invention：In step s 32, by by the characteristic parameter collection of acquirement with depositing in advance
Existing multiple characteristic parameter collection of storage are contrasted one by one, in multiple same types that two characteristic parameters compared are concentrated
When difference between characteristic parameter is less than given threshold, judge that lightning discharge is present, and the characteristic parameter collection that this is currently obtained
Corresponding time mark is used as discharge time.
As a further improvement on the present invention：In the step S5, information that server uploads according to different mobile terminal,
Determined to detect the data that the mobile terminal of lightning uploads during a certain lightning discharge in discharge position region according to its discharge time,
And the range information of the mobile terminal upload in calmodulin binding domain CaM orients the position of lightning discharge by geometrical principle, according to difference
The different lightning informations that moment navigates to, lightning discharge thermal map is generated, and pass back to the client of smart machine.
As a further improvement on the present invention：The information that the client of smart machine is returned by network the reception server,
And user security prompting is given according to information, while client is provided and checks neighbouring lightning information.
Beneficial effects of the present invention：By the method in the present invention, lightning distance can be precisely obtained, and it is cost-effective,
It is widely used.
Brief description of the drawings
Fig. 1 is scene application schematic diagram of the present invention；
Fig. 2 is step schematic diagram of the present invention.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples.
It is a kind of to be included using mobile terminal detection and the method for co-located lightning, its step：
S1, by using the magnetometer of smart machine with certain frequency collection lightning data；
S2, the data that magnetometer collects are handled；
S3, time-domain analysis and frequency-domain analysis are carried out to the frame data after division；
S4, smart machine processing unit calculate lightning discharge positional distance mobile terminal distance, while by lightning ID,
Distance, timestamp and location information of mobile terminal upload to service end by wireless network；
S5, service end position the position of a certain moment lightning discharge, and generation lightning discharge thermal map returns to smart machine client
End；
S6, smart machine client receive the information that service end returns.
The step S2 includes：
S 21, framing is carried out to the magnetometer signals of step S1 collections first, and each window data is handled；
S 22, the magnetometer signals collected are carried out with noise reduction process, and signal filtering process is removed using wave filter
Noise.
The step S3 includes：
S31A, time-domain analysis is carried out to the signal data obtained by step S2；
S31B, to the data-signal obtained by step S2, use Short Time Fourier Transform function pair data-signal to carry out
Fourier transformation, the frequency domain of signal is analyzed；
S32, the analysis to time-domain information and frequency domain information resulting by analysis in step S31A and S31B, are extracted
Feature, discharge time is determined, while trigger microphone gathered data；
S33, time frequency analysis, the time that detection thunder reaches are carried out by the voice signal collected to microphone.
In the step S5, information that server uploads according to different mobile terminal determines a certain lightning according to timestamp
The data that the mobile terminal of lightning uploads are detected during electric discharge in discharge position region, and the mobile terminal in calmodulin binding domain CaM uploads
Range information the position of lightning discharge is oriented by geometrical principle, according to the different lightning informations navigated at different moments,
Lightning discharge thermal map is generated, and passes back to the client of smart machine.
In the step S6, information that the client of smart machine is returned by network the reception server, and according to information
User security prompting is given, while client is provided and checks neighbouring lightning information.
This method is used by using the sensor built in mobile phone and microphone combination, to be detected and be surveyed to lightning
Away from, and multiple mobile phones in calmodulin binding domain CaM position to lightning.
In one embodiment, it is a kind of using mobile terminal detection and the method for co-located lightning such as Fig. 1, including
Following steps：
S1, by using the magnetometer of smart machine with certain frequency collection data；
S2, the data that magnetometer collects are handled.Framing is carried out to the signal collected first, then to signal
Noise reduction is carried out, and processing is filtered to signal by using wave filter；
S3, the frame data after division are carried out with time-domain analysis, and the frame number using Short Time Fourier Transform to time series
Analyzed according to time-frequency domain conversation is carried out, because lightning discharge moment produces the high electromagnetic pulse (lightning of energy
Electromagnetic pulse), because the extremely strong electromagnetic pulse of self-energy in short-term has very high energy, smart machine
Sophisticated sensor (magnetometer) can be influenceed by this high-energy electromagnetic pulse in short-term, and the magnetometer data for causing to collect produces
It is abnormal, and this interference has certain pattern, by combining the analysis to signal time domain and frequency domain, detects this interference,
The lightning discharge time is determined, because the spread speed of electromagnetic pulse is equal to the light velocity, speed is exceedingly fast, and error can neglect in certain area
Slightly disregard, when detecting electric discharge, triggering loudspeaker collection voice data, due to the time-frequency characteristic of thunder, it may have certain mould
Formula, the time of thunder arrival is detected by algorithm；
The time difference that S4, the processing unit of smart machine reach according to LEMP and thunder, calculate lightning discharge positional distance
The distance of mobile phone, and the relevant informations such as lightning ID, distance, timestamp, mobile phone location are uploaded onto the server by wireless network；
The information that S5, server are passed back on the mobile phone according to the diverse location of the same area, using the method for geometry location,
The position of a certain moment lightning discharge is positioned, generating lightning according to the discharge time of the position diverse location lightning of different lightnings puts
Electric heating figure returns to smart machine client；
S6, client receive the information that service end returns, and give the prompting of user's active safety, and user can also pass through client
Check neighbouring lightning history discharge information.
Because electromagnetic pulse caused by lightning can produce instantaneous very strong electromagnetic interference to the sensor of precision, cause data
It is abnormal, disturbed by the EMP for detecting this pattern, to determine the time of lightning discharge, while during lightning discharge, in lightning channel
In, electric current is extremely strong, and temperature can be risen sharply to 20,000 degrees Celsius, and air pressure is uprushed, and causes air acutely to expand, and forms concussion, produces thunder
Sound, and thunder is different with the speed of Electromagnetic Wave Propagation, so that the time that electromagnetic pulse and thunder reach is different, by using TOA
When detecting thunder and lightning signal to calculate mobile phone when lightning discharges in the distance of mobile phone, region, by network by thunder
The information such as the distance of electricity and the positional information of itself and timestamp is uploaded onto the server by network, and server passes through different positions
The data that the mobile phone put uploads are positioned to lightning, and generate lightning discharge distribution thermal map, and information then is returned into mobile phone
Terminal shows, user can neighbours these information judge lightning information, in time away from danger zone, protect personal safety.
In general, in the present embodiment, by using the magnetometer set on mobile terminals with certain frequency
Gather Lightning data；The data that magnetometer collects are handled, and it is divided into sequentially in time it is multiple have set
The frame data for length of fixing time；Time-domain analysis and frequency-domain analysis are carried out respectively to the frame data after division, obtain the more of the data
Individual characteristic parameter；And judge whether the magnetic induction data of lightning formation by the obtained characteristic parameter, in this way, determine lightning
Form the time and open microphone and receive thunder signal；The processing unit of smart machine forms the time by lightning and thunder receives
Time calculates the distance of lightning discharge position and the mobile terminal, at the same by the mobile terminal to the numbering of the lightning, with it is upper
State the distance of discharge position, lightning forms the time and location information of mobile terminal uploads to service end by wireless network；Clothes
The above- mentioned information that business end is uploaded by multiple mobile terminals, the position of a certain moment lightning discharge is positioned according to geometrical principle, it is raw
The multiple mobile terminal is returned into lightning discharge thermal map.It is to utilize multiple loadings in thunder and lightning generation area for substantially
There is the mobile terminal (i.e. smart machine) for realizing above-mentioned function, first detect whether magnetic strength induction signal caused by there is lightning, such as
It is to determine lightning time of origin and start microphone, detects the audio signal of thunder, such as detect, you can learn for the shifting
For dynamic terminal position, lightning and thunder signal reach between lead time.This just can substantially obtain lightning hair
Distance of the dried rhizome of rehmannia point to the mobile terminal site；Multiple such mobile terminals detect this distance, and server is with regard to energy
The data that these enough mobile terminals upload, the particular location that lightning occurs is determined, and then can be to the user using these softwares
Send pre-warning signal.
More specifically, in the above-described embodiments, the processing to magnetic strength induction signal includes：To the magnetic of magnetometer output
Induced signal is divided, and it is divided into multistage at set time intervals, every section it is adjacent on a timeline and every section when
Between length it is identical；One section of magnetic strength induction signal is a data frame, and its initial time is assigned to each data frame and is marked as its time
Note；Noise reduction process is carried out to each data frame, using wave filter to signal filtering process, removes noise.The purpose of segmentation
One of be in order to more accurately determine lightning time of origin.
And the judgement whether occurred for lightning includes：Time-domain analysis is carried out to the signal data in each data frame, obtained
To its temporal signatures, the temporal signatures include signal amplitude, signal energy and signal statistics amount；To the letter in the data frame
Number, Fourier transformation is carried out using Short Time Fourier Transform function pair data-signal, the frequency domain of signal is analyzed, obtained
To its frequency domain character, the frequency domain character includes：Spectral centroid, spectrum entropy, bandwidth, spectrum flux and spectrum roll-off；Combine a data
The above-mentioned temporal signatures and frequency domain character of frame, obtain the parameter set of the data frame, determined using the parameter set be in the data frame
It is no electric discharge and discharge time to be present, in this way, trigger microphone gathered data；Carried out by the voice signal collected to microphone
Time frequency analysis, the time that detection thunder reaches.It is noted that above-mentioned time domain and the analyzing and processing of frequency domain are parallel.
It is by that the characteristic parameter collection of acquirement and will be previously stored when being judged using above-mentioned parameter collection
The multiple characteristic parameter collection having are contrasted one by one, in the feature ginseng for multiple same types that two characteristic parameters compared are concentrated
When difference between number is less than given threshold, judge that lightning discharge is present, and corresponding to the characteristic parameter collection that this is currently obtained
Time mark is used as discharge time.
When server judges the particular location that lightning occurs, information that server uploads according to different mobile terminal, root
Determine to detect the data that the mobile terminal of lightning uploads during a certain lightning discharge in discharge position region according to its discharge time, and
The range information that mobile terminal in calmodulin binding domain CaM uploads orients the position of lightning discharge by geometrical principle, according to it is different when
The different lightning informations navigated to are carved, generate lightning discharge thermal map, and pass back to the client of smart machine.The visitor of smart machine
The information that family end is returned by network the reception server, and user security prompting is given according to information, while client is provided and looked into
See neighbouring lightning information.
Due to the internal built-in abundant sensor of smart mobile phone (i.e. smart machine or mobile terminal), such as gyroscope, add
Speedometer, magnetometer, microphone, light sensor and range sensor.Based on these sensors, pass through multiple mobile terminals
Cooperation, can easily realize the above method.
Above content is to combine specific implementation to be expanded on further to what the present invention was done, should not assert that the present invention's is specific
Realization is confined to described above.For those skilled in the art, without departing from the inventive concept of the premise,
Some simple deduction or replace can also be made, be regarded as protection domain that the claim submitted of the present invention determines it
It is interior.
Claims (6)
1. a kind of use mobile terminal detection and the method for co-located lightning, it is characterised in that：Comprise the following steps：
S1, by using setting magnetometer on mobile terminals with certain frequency collection Lightning data；
S2, the data that magnetometer collects are handled, and it is divided into sequentially in time multiple there is setting time
The frame data of length；
S3, time-domain analysis and frequency-domain analysis are carried out respectively to the frame data after division, obtain multiple characteristic parameters of the data；And
Judge whether the magnetic induction data of lightning formation by the obtained characteristic parameter, in this way, determine that lightning forms the time and beaten
Drive microphone and receive thunder signal；
S4, smart machine processing unit by lightning formed time and thunder receive the time calculate lightning discharge position with it is described
The distance of mobile terminal, while during by the mobile terminal to the numbering of the lightning, with the distance of above-mentioned discharge position, lightning formation
Between and location information of mobile terminal service end is uploaded to by wireless network；
The above- mentioned information that S5, service end are uploaded by multiple mobile terminals, a certain moment lightning discharge is positioned according to geometrical principle
Position, generation lightning discharge thermal map returns to the multiple mobile terminal.
2. according to claim 1 use mobile terminal detection and the method for co-located lightning, it is characterised in that described
Step S2 includes：
S 21, the magnetic strength induction signal to magnetometer output are divided, and it is divided into multistage at set time intervals,
Every section of adjacent on a timeline and every section time span is identical；One section of magnetic strength induction signal is a data frame, to each data
Frame assigns its initial time and marked as its time；
S 22, noise reduction process is carried out to each data frame, using wave filter to signal filtering process, remove noise.
3. according to claim 2 use mobile terminal detection and the method for co-located lightning, it is characterised in that described
Step S3 includes：
S31A, time-domain analysis is carried out to the signal data in each data frame, obtain its temporal signatures, the temporal signatures include
Signal amplitude, signal energy and signal statistics amount；
S31B, to the signal data in the data frame, use Short Time Fourier Transform function pair data-signal to carry out Fourier
Conversion, analyzes the frequency domain of signal, obtains its frequency domain character, the frequency domain character includes：Spectral centroid, spectrum entropy, bandwidth,
Compose flux and spectrum roll-off；
S32, the above-mentioned temporal signatures and frequency domain character for combining a data frame, obtain the parameter set of the data frame, use the ginseng
Manifold determines in this way, to trigger microphone gathered data with the presence or absence of electric discharge and discharge time in the data frame；
S33, time frequency analysis, the time that detection thunder reaches are carried out by the voice signal collected to microphone.
4. according to claim 3 use mobile terminal detection and the method for co-located lightning, it is characterised in that in step
In rapid S32, by the way that the characteristic parameter collection of acquirement and the existing multiple characteristic parameter collection being previously stored are carried out pair one by one
Than, when the difference between the characteristic parameter for multiple same types that two characteristic parameters compared are concentrated is less than given threshold,
Judge that lightning discharge is present, and time mark corresponding to the characteristic parameter collection that this is currently obtained is as discharge time.
5. according to claim 4 use mobile terminal detection and the method for co-located lightning, it is characterised in that described
In step S5, information that server uploads according to different mobile terminal determines to put during a certain lightning discharge according to its discharge time
The data that the mobile terminal of lightning uploads, and the distance letter that the mobile terminal in calmodulin binding domain CaM uploads are detected in electric position region
Breath orients the position of lightning discharge by geometrical principle, according to the different lightning informations navigated at different moments, generates lightning
Discharge thermal map, and passes back to the client of smart machine.
6. according to claim 5 use mobile terminal detection and the method for co-located lightning, it is characterised in that intelligence
The information that the client of equipment is returned by network the reception server, and user security prompting is given according to information, provide simultaneously
Client checks neighbouring lightning information.
Applications Claiming Priority (2)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189572A (en) * | 2021-04-15 | 2021-07-30 | 南京维沃软件技术有限公司 | Thunder and lightning distance prompting method and device, electronic equipment and readable storage medium |
| CN114339016A (en) * | 2020-09-29 | 2022-04-12 | 北京小米移动软件有限公司 | Camera shooting method, device and medium |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106324562A (en) * | 2016-08-26 | 2017-01-11 | 深圳大学 | Lightning detection and cooperative location method through mobile terminal |
| CN113850226B (en) * | 2021-10-15 | 2024-09-10 | 南通大学 | Signal irregularity analysis method for lightning leading radiation |
| CN114675131B (en) * | 2022-03-30 | 2024-07-30 | 国网福建省电力有限公司莆田供电公司 | Lightning positioning method and system based on power grid microscopic meteorological detection system |
| CN116910469B (en) * | 2023-06-28 | 2024-08-06 | 南通大学 | Lightning signal processing method based on three channels ResNet |
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| CN113189572B (en) * | 2021-04-15 | 2023-11-17 | 南京维沃软件技术有限公司 | Lightning distance prompting method, device, electronic equipment and readable storage medium |
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| WO2018036280A1 (en) | 2018-03-01 |
| CN107490781B (en) | 2019-05-31 |
| CN106324562A (en) | 2017-01-11 |
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