Lightning positioning network fusing lightning energy parameters

Abstract

The invention belongs to the technical field of lightning positioning, and provides a lightning positioning network fusing lightning energy parameters, which comprises a plurality of detection substations and a central detection station, the detection substation comprises a low-frequency detection magnetic antenna, a filtering and amplifying circuit, a control panel, a Beidou antenna and an industrial control all-in-one machine, wherein the low-frequency detection magnetic antenna, the filtering and amplifying circuit and the control panel are connected in sequence. The center detection station comprises a product module, an averaging module, an integration module, a lightning position calculation module, an upper computer display module and a risk assessment module. The product module, the averaging module and the integration module are arranged in the server of the center detection station, product calculation, average calculation and integration calculation are carried out on lightning current data and the length of the vertical channel, and the limitation that an existing lightning positioning network evaluates lightning energy through the maximum current value is overcome; therefore, the forest fire risk caused by lightning and the middle and high-rise discharge phenomenon caused by lightning can be accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of lightning location, and in particular to a lightning location network integrating lightning energy parameters. Background Art

[0002] Lightning disaster is one of the ten most serious natural disasters. Among meteorological disasters, casualties caused by lightning strikes are second only to rainstorms, floods and meteorological geological disasters. In order to prevent disasters caused by lightning, it is necessary to effectively detect and locate lightning. Therefore, it is urgent to use special instruments and equipment to monitor and locate lightning to ensure that warnings are issued to departments and regions that may be affected before the thunderstorm arrives; to minimize the losses caused by lightning; and by monitoring the direction, frequency and intensity of lightning activities, it is also possible to predict disastrous weather such as rainstorms, hurricanes and hail, and to make effective early warnings for rocket satellite launches. The current popular lightning location method is to deploy lightning detection equipment at multiple sites and form a two-dimensional or three-dimensional lightning location network to effectively detect and locate lightning. The components of a single-station lightning detection device mainly include: lightning signal low-frequency detection magnetic antenna, atmospheric electric field instrument, lightning signal processor, GPS, wireless transmission module and lightning data processing terminal. The lightning location, current peak intensity and other lightning parameter information are obtained through the lightning location network.

[0003] The lightning information provided by the lightning location network system currently in use mainly includes conventional parameters such as lightning location information and current peak intensity information. These parameters are not sufficient to accurately evaluate some specific effects caused by lightning. Specific effects include the ability to cause forest fires and the ability to cause medium and high-level discharge phenomena. Among these specific effects, evaluating the ability to cause forest fires is of great significance to reducing the harm suffered by humans. Assessing the ability to cause medium and high-level discharge phenomena will have important significance for the development and utilization of human resources in near-space. Therefore, how to accurately evaluate these specific effects caused by lightning is also an important research direction. In the existing lightning location system, the intensity of lightning is mainly determined by the peak current of the electromagnetic pulse signal radiated when lightning occurs, that is, the maximum current value. However, the peak current does not take into account the effect of time accumulation and cannot characterize the energy carried by lightning. Because some specific effects caused by lightning depend on the energy carried by lightning, the peak current size parameter of the electromagnetic pulse signal cannot accurately evaluate the specific effects caused by lightning. The existing lightning location network system has great limitations in evaluating the specific effects caused by lightning. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a lightning location network that integrates lightning energy parameters. By setting a product module, an averaging module and an integration module in the server of the central detection station, the product of the lightning current data and the vertical channel length is calculated to obtain the lightning time-resolved current moment, the lightning time-resolved current moment is averaged to obtain the mean of the lightning time-resolved current moment, and then the mean of the lightning time-resolved current moment is integrated to obtain the lightning pulse charge moment, a parameter representing the lightning energy, so as to solve the limitation of the existing location network in evaluating lightning energy by using the maximum current value, and realize accurate evaluation of the forest fire risk caused by lightning and the discharge phenomenon caused by medium and high levels.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A lightning positioning network integrating lightning energy parameters, characterized in that it comprises: a plurality of detection substations and a central detection station; the detection substation comprises: a low-frequency detection magnetic antenna, a filter amplifier circuit, a control board with an embedded FPGA board and an STM32 single-chip microcomputer, and a Beidou antenna and an industrial control integrated machine connected to the control board; the central detection station comprises: a product module, an average module, an integration module, a lightning position calculation module, a host computer display module, and a risk assessment module;

[0007] The product module is connected to the averaging module; the averaging module is connected to the integration module; the host computer display module is respectively connected to the integration module, the lightning position calculation module and the risk assessment module; each of the detection substations and the central detection station are connected via a wireless network;

[0008] The low-frequency detection magnetic antenna is used to collect the electromagnetic pulse signal generated when lightning occurs; the filter amplifier circuit is used to amplify and filter the electromagnetic pulse signal to obtain a pre-processed signal; the STM32 single-chip microcomputer is used to parse the received data of the Beidou antenna when receiving the trigger command sent by the FPGA board, obtain the time parameter of the pre-processed signal arriving at the detection substation and the longitude and latitude information of the detection substation, and send the time parameter and the longitude and latitude information to the FPGA board; the FPGA board is used to collect the waveform of the pre-processed signal and extract the peak value of the waveform. When the peak value exceeds a preset threshold, a trigger command is sent to the STM32 single-chip microcomputer, and the data of the pre-processed signal, the time parameter and the longitude and latitude information are integrated to obtain lightning parameters, and the lightning parameters are sent to the industrial control integrated machine for display and to the central detection station; the data of the pre-processed signal includes: The waveform of the preprocessed signal, the lightning current value and the vertical channel length of the lightning current; the product module is used to calculate the product of the lightning current value and the vertical channel length of the lightning current to obtain the lightning time-resolved current moment; the averaging module is used to average the lightning time-resolved current moment to obtain the lightning time-resolved current average moment; the integration module is used to integrate the lightning time-resolved current average moment to obtain the lightning pulse charge moment; the lightning position calculation module is used to calculate the position according to the time parameters of all the detection substations and the longitude and latitude information using the arrival time difference algorithm to obtain the lightning position information; the risk assessment module is used to analyze the lightning pulse charge moment to obtain the risk assessment result, and when the risk assessment result is high risk, send risk alarm information to the target area according to the lightning position information; the host computer display module is used to display the lightning pulse charge moment, the lightning position information and the risk assessment result.

[0009] Preferably, the integration time for calculating the lightning pulse charge moment is 2 ms.

[0010] Preferably, the assessment objects of the risk assessment threshold include: forest fires and mid- and high-level electrical discharge phenomena.

[0011] Preferably, the calculation formula of the lightning pulse charge moment is: Wherein, iCMC is the lightning pulse charge moment; M I (t) is the average moment of the lightning stroke time-resolved current; t is the time-integrated variable.

[0012] Preferably, the mid- and high-level discharge phenomena include: red sprites, blue jets and giant jets.

[0013] The present invention discloses the following technical effects:

[0014] The present invention provides a lightning location network integrating lightning energy parameters. By setting a product module, an averaging module and an integration module in a server of a central detection station, product calculations, averaging calculations and integration calculations are performed on lightning current data and vertical channel lengths, thereby solving the limitation of the existing lightning location network in evaluating lightning energy using the maximum current value, and achieving accurate evaluation of the forest fire risk caused by lightning and the discharge phenomenon caused in the middle and high levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] Figure 1 A module diagram of a lightning location network integrating lightning energy parameters provided by an embodiment of the present invention;

[0017] Description of reference numerals:

[0018] 1-detection substation, 11-low-frequency detection magnetic antenna, 12-filter amplifier circuit, 13-control board, 14-Beidou antenna, 15-industrial control integrated machine, 2-central detection station, 21-product module, 22-average module, 23-integration module, 24-lightning position calculation module, 25-host computer display module, 26-risk assessment module. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The purpose of the present invention is to provide a lightning location network integrating lightning energy parameters. By setting a product module, an averaging module and an integration module in the server of the central detection station, the product of the lightning current data and the vertical channel length is calculated to obtain the lightning time-resolved current moment, the lightning time-resolved current moment is averaged to obtain the mean of the lightning time-resolved current moment, and then the mean of the lightning time-resolved current moment is integrated to obtain the lightning pulse charge moment, a parameter representing the lightning energy, so as to solve the limitation of the existing location network in evaluating the lightning energy by using the maximum current value, and realize the accurate evaluation of the forest fire risk caused by lightning and the discharge phenomenon caused by medium and high layers.

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] Figure 1 A module diagram of a lightning location network integrating lightning energy parameters provided by an embodiment of the present invention, such as Figure 1 As shown, the present invention provides a lightning positioning network integrating lightning energy parameters, characterized in that it includes: a plurality of detection substations 1 and a central detection station 2; the detection substation 1 includes: a low-frequency detection magnetic antenna 11, a filter amplifier circuit 12, a control board 13 with an embedded FPGA board and an STM32 single-chip microcomputer, and a Beidou antenna and an industrial control integrated machine 1514 connected to the control board in sequence; the central detection station 2 includes: a product module 21, an average value module 22, an integration module 23, a lightning position calculation module 24, a host computer display module 25 and a risk assessment module 26;

[0023] The product module 21 is connected to the averaging module 22; the averaging module 22 is connected to the integration module 23; the upper computer display module 25 is respectively connected to the integration module 23, the lightning position calculation module 24 and the risk assessment module 26; each detection substation 1 and the central detection station 2 are connected via a wireless network;

[0024] The low-frequency detection magnetic antenna 11 is used to collect the electromagnetic pulse signal generated when lightning occurs; the filter amplifier circuit 12 is used to amplify the electromagnetic pulse signal and filter the noise to obtain the pre-processed signal; the STM32 single-chip microcomputer is used to parse the received data of the Beidou antenna 14 when receiving the trigger command sent by the FPGA board, and obtain the time parameter of the pre-processed signal arriving at the detection substation 1 and the longitude and latitude information of the detection substation 1, and send the time parameter and longitude and latitude information to the FPGA board; the FPGA board is used to collect the waveform of the pre-processed signal and extract the peak value of the waveform. When the peak value exceeds the preset threshold, a trigger command is sent to the STM32 single-chip microcomputer, and the data, time parameter and longitude and latitude information of the pre-processed signal are integrated to obtain the lightning parameters, and the lightning parameters are sent to the industrial control integrated machine 15 for display and to the central detection station 2; the data of the pre-processed signal includes: waveform, lightning current value and lightning current vertical channel length; the product module 21 is used to calculate the product of the lightning current value and the lightning current vertical channel length to obtain the lightning time-resolved current moment; the averaging module 22 is used to average the lightning time-resolved current moment to obtain the lightning time-resolved current average moment; the integration module 23 is used to integrate the lightning time-resolved current average moment to obtain the lightning pulse charge moment; the lightning position calculation module 24 is used to calculate the position according to the time parameters and longitude and latitude information of all detection substations 1 using the arrival time difference algorithm to obtain the lightning position information; the risk assessment module 26 is used to analyze the lightning pulse charge moment to obtain the risk assessment result, and when the risk assessment result is high risk, send risk alarm information to the target area according to the lightning position information; the host computer display module 25 is used to display the lightning pulse charge moment, lightning position information and risk assessment results.

[0025] Preferably, the integration time for calculating the lightning pulse charge moment is 2 ms.

[0026] Optionally, the assessment objects of the risk assessment threshold include: forest fires and mid- and high-level electrical discharge phenomena.

[0027] Specifically, the calculation formula of lightning pulse charge moment is: Where iCMC is the lightning pulse charge moment; M I (t) is the average moment of the lightning stroke time-resolved current; t is the time-integrated variable.

[0028] Optionally, mid- and high-level discharge phenomena include: red sprites, blue jets, and giant jets.

[0029] Specifically, when lightning occurs, various electromagnetic pulse signals with a wide frequency range are generated. The low-frequency detection magnetic antenna 11 is used to collect the electromagnetic pulse signals generated when lightning occurs. The electromagnetic pulse signals are sent to the filter amplifier circuit 12 to amplify the weak electromagnetic pulse signals, and then the filter circuit is used to filter the noise contained in the amplified electromagnetic pulse signals to obtain the electromagnetic pulse signals within the low-frequency frequency range. The electromagnetic pulse signals within the low-frequency frequency range are then sent to the control board 13 combined with the FPGA board and the STM32 single-chip microcomputer for processing. When the control board 13 determines that the peak value of the electromagnetic pulse signal waveform within the low-frequency frequency range exceeds the set threshold, it is determined that it is an electromagnetic pulse signal triggered by lightning. The FPGA board sends a trigger signal to the STM32 single-chip microcomputer, and the STM32 single-chip microcomputer starts to parse the data in the Beidou antenna 14 and transmits the parsed data to the FPGA board through the serial port. The FPGA board sends the sorted electromagnetic pulse signal data and the data parsed by the STM32 single-chip microcomputer to the industrial control integrated machine 15 for display and sends them to the central detection station 2. The work of the control board 13 includes data collection, data analysis, and data uploading.

[0030] Specifically, the lightning location network currently in use cannot provide information about the energy of the detected lightning and does not have the ability to accurately assess some specific effects caused by lightning. The lightning location network system of this embodiment integrates lightning energy parameters, which are characterized by lightning pulse charge moments, and fully consider the time accumulation effect of charge transmission during lightning discharge. The lightning pulse charge moment, an indicator parameter calculated by this embodiment, can obtain the energy of lightning, providing a scientific basis for accurately assessing some specific effects caused by lightning.

[0031] Furthermore, in order to accurately evaluate the ability of some specific effects caused by lightning, it is necessary to consider the time accumulation effect of charge transmission during lightning discharge. To calculate the energy carried by lightning, this embodiment introduces a parameter index reflecting lightning energy - lightning pulse charge moment. This index parameter represents a kind of energy measurement. The calculation formula of lightning pulse charge moment is the product of the charge amount and the height of the charge distribution space during lightning discharge. The actual method of calculating this index is to filter the electromagnetic pulse signal with a low-pass filter circuit, retain the slow-changing part in the electromagnetic pulse waveform, and then solve the area enclosed by the slow-changing curve and the time axis in the pulse waveform curve, so as to obtain the value of the lightning pulse charge moment, and then obtain the energy carried by lightning. If the part of the pulse curve with a larger change amplitude is used for measurement, the waveform will change violently up and down, and it will be impossible to calculate the area size. Moreover, it is meaningless to calculate the energy using the part of the pulse curve that changes quickly. Energy is an accumulation effect, so the time is longer and the pulse width will be wider. What is retained after low-pass filtering is the slow change process in the pulse waveform curve. This slow change process is actually the process of charge transfer. Slow transmission is equivalent to the process of continuous charge output after the channel is established.

[0032] Specifically, the calculation formula of lightning pulse charge moment (unit C·Km) is as follows:

[0033]

[0034] Preferably, in the lightning location network integrating lightning energy parameters of this embodiment, each detection substation 1 mainly provides some conventional parameters, such as the waveform of the pulse signal triggered by lightning, the time when the pulse signal triggered by lightning arrives at the detection substation, the longitude and latitude of the detection substation, the lightning current value measured by the detection substation 1, and the length of the vertical channel of the lightning current, etc. In addition to calculating the lightning location information based on the time difference of the lightning-triggered electromagnetic pulse signal arriving at each detection substation 1 and the longitude and latitude of each detection substation 1, the central detection station 2 also needs to provide the lightning pulse charge moment obtained by the above calculation formula. This parameter can more accurately describe the lightning energy. If this parameter value is large, it means that the energy carried by the lightning is large, which will cause forest fires or cause environmental disturbances in the middle and upper atmospheric space, thereby having an important impact on human production and life. Therefore, integrating the parameter of the lightning pulse charge moment into the lightning location network can provide a scientific basis for accurately evaluating some specific effects caused by lightning, fill the gap in the existing lightning location network in evaluating specific effects caused by lightning, and has a strong practical value.

[0035] Furthermore, lightning can cause some specific effects, such as the ability to cause forest fires and the ability to cause mid- and high-level discharges. The existing lightning location network cannot accurately evaluate these specific effects caused by lightning. The lightning location network that integrates lightning energy parameters in this embodiment evaluates these specific effects by providing a parameter called lightning pulse charge moment. The lightning pulse charge moment reflects the product of the amount of charge and the height of the charge distribution space during the lightning discharge process. The larger the pulse charge moment, the greater the energy of the lightning discharge. Forest fires are often caused by lightning strikes, especially when lightning strikes trees or the ground, the high temperature and sparks generated will ignite combustibles. Therefore, the energy of lightning (related to the lightning pulse charge moment) is one of the key factors that determine whether it causes a forest fire.

[0036] Specifically, mid- and high-level discharge phenomena include: red sprites, blue jets, giant jets, etc. These phenomena are usually related to lightning discharges in the troposphere. The size and distribution of lightning pulse charge moments will affect the charge distribution and electric field strength in the mid- and high-level atmosphere, thereby triggering or promoting the occurrence of mid- and high-level discharge phenomena. Mid- and high-level discharge phenomena will have different impacts on the atmospheric environment, ionosphere structure, etc., affecting human development and utilization of near-space resources.

[0037] The beneficial effects of the present invention are as follows:

[0038] The present invention arranges a product module, an averaging module and an integration module in a server of a central detection station, calculates the product of lightning current data and the vertical channel length to obtain a lightning time-resolved current moment, averages the lightning time-resolved current moment to obtain the mean of the lightning time-resolved current moment, and then integrates the mean of the lightning time-resolved current moment to obtain a lightning pulse charge moment, a parameter representing lightning energy. This solves the limitation of the existing positioning network in evaluating lightning energy using the maximum current value, and realizes an accurate evaluation of the forest fire risk caused by lightning and the discharge phenomenon caused in the middle and high layers.

[0039] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0040] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A lightning location network integrating lightning energy parameters, characterized in that: include: Several detection substations and a central detection station; The detection substation includes: a low-frequency detection magnetic antenna, a filter amplifier circuit, a control board with an embedded FPGA board and an STM32 single-chip microcomputer, and a Beidou antenna and an industrial control integrated machine connected to the control board in sequence; the central detection station includes: a product module, an average module, an integration module, a lightning position calculation module, a host computer display module, and a risk assessment module; The product module is connected to the averaging module; the averaging module is connected to the integration module; the host computer display module is respectively connected to the integration module, the lightning position calculation module and the risk assessment module; each of the detection substations is connected to the central detection station via a wireless network; The low-frequency detection magnetic antenna is used to collect the electromagnetic pulse signal generated when lightning occurs; the filter amplifier circuit is used to amplify and filter the electromagnetic pulse signal to obtain a pre-processed signal; the STM32 single-chip microcomputer is used to parse the received data of the Beidou antenna when receiving the trigger command sent by the FPGA board, obtain the time parameter of the pre-processed signal arriving at the detection substation and the longitude and latitude information of the detection substation, and send the time parameter and the longitude and latitude information to the FPGA board; the FPGA board is used to collect the waveform of the pre-processed signal and extract the peak value of the waveform. When the peak value exceeds a preset threshold, a trigger command is sent to the STM32 single-chip microcomputer, and the data of the pre-processed signal, the time parameter and the longitude and latitude information are integrated to obtain lightning parameters, and the lightning parameters are sent to the industrial control integrated machine for display and to the central detection station; the data of the pre-processed signal includes: The waveform of the preprocessed signal, the lightning current value and the vertical channel length of the lightning current; the product module is used to calculate the product of the lightning current value and the vertical channel length of the lightning current to obtain the lightning time-resolved current moment; the averaging module is used to average the lightning time-resolved current moment to obtain the lightning time-resolved current average moment; the integration module is used to integrate the lightning time-resolved current average moment to obtain the lightning pulse charge moment; the lightning position calculation module is used to calculate the position according to the time parameters of all the detection substations and the longitude and latitude information using the arrival time difference algorithm to obtain the lightning position information; the risk assessment module is used to analyze the lightning pulse charge moment to obtain the risk assessment result, and when the risk assessment result is high risk, send risk alarm information to the target area according to the lightning position information; the host computer display module is used to display the lightning pulse charge moment, the lightning position information and the risk assessment result.

2. A lightning location network integrating lightning energy parameters according to claim 1, characterized in that: The integration time for calculating the lightning pulse charge moment is 2 ms.

3. A lightning location network integrating lightning energy parameters according to claim 1, characterized in that: The assessment objects of the risk assessment threshold include: forest fires and mid- and high-level electrical discharge phenomena.

4. A lightning location network integrating lightning energy parameters according to claim 2, characterized in that: The calculation formula of the lightning pulse charge moment is: Wherein, iCMC is the lightning pulse charge moment; M I (t) is the average moment of the lightning stroke time-resolved current; t is the time-integrated variable.

5. A lightning location network integrating lightning energy parameters according to claim 3, characterized in that: The mid- and high-level discharge phenomena include: red sprites, blue jets and giant jets.

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