CN115508623A

CN115508623A - Electric field identification method based on lightning signals

Info

Publication number: CN115508623A
Application number: CN202211173517.1A
Authority: CN
Inventors: 黄志都; 冯玉斌; 崔志美; 于荣华; 唐捷; 徐文平; 卢胜标; 张玉波; 张炜
Original assignee: Electric Power Research Institute of Guangxi Power Grid Co Ltd
Current assignee: Electric Power Research Institute of Guangxi Power Grid Co Ltd
Priority date: 2022-09-26
Filing date: 2022-09-26
Publication date: 2022-12-23

Abstract

The invention discloses an electric field identification method based on a lightning signal, which confirms whether the lightning signal is effective or not by acquiring the lightning signal measured in a primary lightning discharge process; after the thunder and lightning signals are confirmed to be effective, conducting pilot processing on the thunder and lightning signals to pilot extreme value data, and entering an identification waiting state; after entering an identification waiting state, confirming the peak time and the peak point data of the electric field; after the electric field peak value confirmation signal is valid, the polarity of the lightning signal is judged, so that the electric field signal is identified, an auxiliary judgment condition for magnetic field signal identification is provided, meanwhile, the identification judgment of the overall lightning signal is also acted, and the technical problem that the lightning signal is difficult to process in the related technology is also solved.

Description

Electric field identification method based on lightning signals

Technical Field

The invention relates to the technical field of lightning signals, in particular to an electric field identification method based on a lightning signal.

Background

In the traditional thunder and lightning signal system, a fixed model is used for distinguishing the ground flashover and the cloud flashover in thunder and lightning, the model parameters and the logic are fixed, and the result is the traditional binary logic, namely, a signal which is in accordance with prejudgment and a non-prejudgment signal. However, as described in the comprehensive literature, human awareness of the lightning discharge process still needs to be further developed, the change characteristics of the wide-area propagation waveform of the lightning electromagnetic wave still needs to be further studied, and even if all the previous logic identification conditions are comprehensively considered, the signal still has the possibility of being misjudged.

Multi-valued logic is a logic operation with more than two possible truth values. In lightning wide-area ground lightning monitoring, on the basis of basic model design, multiple definition and calculation are carried out on possible signal characteristics, a recognition logic with higher tolerance is provided to obtain a large amount of lightning activity wide-area monitoring data, waveform data are stored and transmitted remotely, a waveform database is established for a follow-up system, a data analysis basis is provided, and the recognition of lightning electromagnetic wave characteristics is improved.

In addition, due to the inherent characteristics of a multi-value logic signal processing algorithm and high background noise lightning electromagnetic wave signal detection, the signal processing amount is increased sharply in a short time, the signal processing means is more complex, and the traditional lightning signal processing mode cannot meet the requirement of real-time processing of signal data streams, so that a new signal identification and processing method needs to be designed to overcome the problem of high-density lightning signal processing.

Disclosure of Invention

The embodiment of the invention provides electric field identification based on a lightning signal, which at least solves the technical problem of difficulty in processing the lightning signal in the related technology.

According to an aspect of the embodiments of the present invention, there is provided an electric field identification method based on a lightning signal, including:

acquiring a lightning signal measured in a primary lightning discharge process, and determining whether the lightning signal is effective;

after the thunder and lightning signals are confirmed to be effective, conducting pilot processing on the thunder and lightning signals to pilot extreme value data, and entering an identification waiting state;

after entering an identification waiting state, confirming the peak time and the peak point data of the electric field;

and after the electric field peak value confirmation signal is valid, judging the polarity of the lightning signal.

Optionally, before determining whether the lightning signal is valid, white noise superposition processing is performed on the waveform data of the lightning signal.

Optionally, determining whether the lightning signal is valid determines whether the threshold crossing signal is valid.

Optionally, the pilot processing is to search for a minimum value and a maximum value of the lightning electromagnetic wave signal pilot process, and the search for the lightning electromagnetic wave signal pilot extreme values according to different electric field polarities is divided into positive polarity lightning electromagnetic wave signal electric field pilot minimum value search and negative polarity lightning electromagnetic wave signal electric field maximum value search.

Optionally, the determining the polarity of the lightning signal comprises: comparing amplitudes according to the comparison relation between the electric field and the magnetic field peak value, and requiring that the signal intensity is not lower than a reference threshold value; and judging whether the lightning signal belongs to a positive polarity or negative polarity identification state according to the difference of the polarities.

Optionally, the electric field peak time and peak point data are confirmed by monitoring a peak confirmation signal of the magnetic field path.

Optionally, the determination of the polarity of the lightning signal may start clock timing, and after the timing is finished, data in the identification process is fed back.

According to another aspect of the embodiments of the present invention, there is also provided an electric field recognition unit based on a lightning signal, including:

the initial state module is used for controlling the initial state entering and jumping to be controlled by a main control signal, an electric field and magnetic field path confirmation signal; when any one of the main control signal, the electric field and magnetic field path confirmation signal gives reset or initialization information, the electric field identification unit enters an initial state in the next period; in the initial state, setting initial values of all related registers and flag information bits, and turning the state to a waiting state;

the extreme value searching module is used for conducting pilot processing on the thunder and lightning signals to pilot extreme value data after confirming the signals and entering an identification waiting state; and

the device comprises a waiting state module, a magnetic field identification unit and a control module, wherein the waiting state is a working state triggered by an effective signal, and in the waiting state, the electric field identification unit always waits for a peak value confirmation signal given by the magnetic field identification unit; the magnetic field identification unit is in a searching state of a signal peak value after being triggered by the threshold-crossing effective signal, once the signal peak value is confirmed, the magnetic field identification unit sends a confirmation signal to the system, and the electric field identification unit monitors the signal all the time; when the magnetic field peak value confirmation signal is monitored, the electric field identification unit starts to judge the polarity of the current electric field data and synchronously starts the clock for timing.

According to another aspect of the embodiment of the present invention, there is also provided a computer-readable storage medium, where the computer-readable storage medium includes a stored program, where when the program runs, the apparatus where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for identifying an electric field based on a lightning signal.

According to another aspect of the embodiment of the present invention, there is further provided a processor, configured to execute a program, where the program executes any one of the above-mentioned electric field identification methods based on lightning signals.

Compared with the prior art, the invention has the following beneficial effects:

in the embodiment of the invention, the method determines whether the lightning signal is effective or not by acquiring the lightning signal measured in the primary lightning discharge process; after the thunder and lightning signals are confirmed to be effective, conducting pilot processing on the thunder and lightning signals to pilot extreme value data, and entering an identification waiting state; after entering an identification waiting state, confirming the peak time and the peak point data of the electric field; after the electric field peak value confirmation signal is valid, the polarity of the lightning signal is judged, so that the electric field signal is identified, an auxiliary judgment condition for magnetic field signal identification is provided, meanwhile, the identification judgment of the overall lightning signal is also acted, and the technical problem that the lightning signal is difficult to process in the related technology is also solved.

Drawings

In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

FIG. 1 is a flow chart of a method of lightning signal based electric field identification according to an embodiment of the invention;

FIG. 2 is a state diagram for extremum seeking according to an embodiment of the present invention;

FIG. 3 is a state diagram for extremum seeking according to an embodiment of the present invention;

FIG. 4 is a diagram of extremum seeking results, according to an embodiment of the present invention;

FIG. 5 is a diagram of extremum seeking results, according to an embodiment of the present invention;

FIG. 6 is a diagram of extremum seeking results, according to an embodiment of the present invention;

FIG. 7 is a diagram of extremum seeking results, according to an embodiment of the present invention;

FIG. 8 is a graph of electric field test waveforms according to an embodiment of the present invention;

FIG. 9 is a partial magnified view of a peak according to an embodiment of the invention;

FIG. 10 is a transition diagram of an electric field operating state according to an embodiment of the present invention;

fig. 11 is a diagram of peak confirmation results according to an embodiment of the present invention;

fig. 12 is a flow chart of electric field leading extreme value finding according to an embodiment of the present invention.

Detailed Description

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

According to an embodiment of the present invention, there is provided an embodiment of a lightning signal based electric field identification method, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.

Fig. 1 is a flowchart of an electric field identification method based on lightning signals according to an embodiment of the invention, and as shown in fig. 1, the method includes the following steps:

s1, acquiring a lightning signal measured in a primary lightning discharge process, and determining whether the lightning signal is effective or not;

as an alternative embodiment, before confirming whether the lightning signal is effective, white noise superposition processing is performed on the waveform data of the lightning signal.

As an alternative embodiment, the determination of whether the lightning signal is valid is to determine whether the threshold-crossing signal is valid. Wherein the threshold signal is high.

And S2, after the lightning signals are confirmed to be effective, conducting pilot processing on the lightning signals to pilot extreme value data, and entering an identification waiting state.

As an alternative embodiment, the pilot processing is to search for minimum and maximum values of the lightning electromagnetic wave signal pilot process, and the search for the minimum (maximum) value of the electric field pilot is divided into the search for the minimum value of the positive polarity lightning electromagnetic wave signal electric field pilot and the search for the maximum value of the negative polarity lightning electromagnetic wave signal electric field pilot according to different electric field polarities (main peak polarity).

The determining the polarity of the lightning signal comprises: comparing amplitudes according to the comparison relation between the electric field and the magnetic field peak value, and requiring that the signal intensity is not lower than a reference threshold value; and judging whether the lightning signal belongs to a positive polarity or negative polarity identification state according to the difference of the polarities.

In addition, the polarity of the lightning signal is judged, so that the clock timing is started, and data in the identification process is fed back after the timing is finished.

And S3, confirming the peak moment and the peak point data of the electric field after entering the identification waiting state.

As an alternative embodiment, the electric field peak time and peak point data are confirmed by monitoring the peak confirmation signal of the magnetic field path.

Specifically, the searching method of the electric field peak includes two ways: 1. confirming the position of a peak value point of an electric field point by point under the condition of meeting a certain time range by taking a signal of the electric field as a unique identification object, and recording peak value data; 2. according to the characteristics of electromagnetic waves, the electric field signal and the magnetic field signal are always orthogonal in the propagation process and are different in phase

Once the magnetic field peak point is determined, the corresponding electric field peak point is necessarily in a small range of the corresponding time point, so the peak time and the peak value in the electric field identification unit can be correspondingly determined by using the peak time determined by the magnetic field identification unit. In practical design, the method 2 can be adopted, and the method can reduce the consumption of resources appropriately.

And S4, judging the polarity of the lightning signal after the electric field peak value confirmation signal is valid.

Example 2

According to another aspect of the embodiments of the present invention, there is also provided an electric field identification unit based on a lightning signal, wherein the electric field identification unit mainly adopts four states for function description and implementation according to different identification processes, including: an initial state, a waiting state, a positive polarity signal identification state, and a negative polarity signal identification state. The data input and output mainly comprises: electric field data, a pilot extremum, a magnetic field peak confirmation, an electric field peak, a system control signal. The electric field recognition unit based on the lightning signal includes: the device comprises an initial state module, an extreme value searching module, a waiting state module and a waiting state module.

The initial state module is used for controlling the initial state entering and jumping to be controlled by a main control signal, an electric field and magnetic field path confirmation signal; when any one of the main control signal, the electric field and magnetic field path confirmation signal gives reset or initialization information, the electric field identification unit enters an initial state in the next period; in the initial state, all relevant registers and flag information bits are subjected to initial value setting, and the state is transferred to a waiting state.

And the extreme value searching module is used for conducting pilot processing on the thunder and lightning signals to pilot extreme value data after the signals are confirmed and entering an identification waiting state.

As an alternative embodiment, the extremum finding module includes a maximum finding unit and a minimum finding unit.

In the idea of searching extreme value (extreme), the digital lightning detector is a real-time electromagnetic wave signal detection and judgment system and is used for analyzing and processing a signal to be determined in real time. Before the lightning main discharge signal arrives, the searching unit needs to find out the extreme point in a certain specific time period at present, and the searching unit sends out the currently found extreme point until the peak value confirmation signal is given by the system. And once the lightning signal is confirmed, the extreme value searching unit starts a new round of extreme value searching. So as to reciprocate. There are several common control signals for the maximum and minimum search units to control when data is transferred out and when data set is cleared.

Taking the maximum value searching unit as an example, the maximum value searching is for lightning with negative polarity, and the time scale of the pilot process is 150

For this purpose, a shift register mode is adopted and the segmentation method is combined for processing, and 16 segments are adopted in design, and 10 segments are adopted

Then, according to the accidental distribution, the value range of the valid number time period is 150

To 160

. The data first enters a 10 as in FIG. 2

And the time window unit with the length is used for searching the extreme value and finding out the extreme value.

M1 will be at 10

At the end, the extreme value is transferred to the register Extrum 1_1, and a new round of extreme value searching is started, and similarly, the newly found extreme value M2 is 10

Transfer to Extre at endIn mum1_1, M1 in the original Extrum 1_1 will be transferred to Extrum 1_2 at the same time. By analogy, M1 will be moved into exit 1_15 over 15 seek cycles. And if the effective signal exists at the moment, sending the Extremum Y currently found in the Extremum searching module and the Extremum stored in the extreme 1_1 to 15 into the Extremum comparing module together for comparison and outputting a result. If there is not any valid signal at this time, the extremum that was first found will be removed.

The extreme value searching module takes a time period as a scale, a counter is used for standard time reference in system design, the working frequency of the system is 5MHz, and the counting interval in unit time is 0.2

Then each time period is 50 points (50 × 0.2)

=10

) When the timer is reset, external data are input into the module, and all input data are compared one by one before the counter is full. That is, if the current input data is larger than the previous input data, the current data is retained, otherwise, the previous data is retained as the next data comparison object, and so on until the current counting time expires. When the counter reaches the current cut-off time, the extreme value searching module transfers the extreme value in the current time period to the extreme 1_ 1. Two zero clearing reset signals exist in the extreme value searching module: 1. initial reset, 2. Effective lightning clear signal. The Reset signal is used for a power-on Reset and initialization process, and the effective lightning zero clearing signal is data zero clearing operation performed to avoid the influence of the identified lightning signal on the next signal judgment after the lightning signal is identified. The transfer operation of the shift register extreme is performed every time the counter is turned off.

The above process is directed to 150

The interior segmentation extreme value is sought, through above-mentioned process, finds 16 extreme value data altogether, and then when these 16 data can be adopted, according to the design principle of discernment model, when the input signal exists crossing the more change of threshold, the threshold signal will be enabled, and extreme value seeking unit will be sent 16 extreme values found out into multichannel extreme value comparison module according to this signal immediately and find out the maximum value among them. The different working modules in the extremum seeking unit are operated in a concurrent mode, that is, all the working modules are independently operated at the same time under the condition that the condition is met. In design, except for the condition of meeting the previous condition, the extremum searching module and the shift register module are continuously carried out at the other moments, so that in order to avoid the influence of the extremum searching module and the shift register on the comparison of subsequent data after the threshold signal is enabled, a two-stage register group combination working mode is adopted. The first level register group is the combination of the previous shift register module with 15 depths and register Y, and the second level register group is the combination of 16 registers and named as a cache register group. As shown in fig. 3.

As shown in fig. 3, the extreme value comparison module mainly comprises three blocks, a first stage consisting of a shift register and a register Y, a second stage consisting of a cache register group, and an extreme value comparison module. Obviously, the relation between the direct signal connection and the data transfer is not simple between the first stage and the second stage, but is controlled by the threshold-crossing signal, and when the threshold-crossing signal is effective, the data recorded by the first stage is immediately transferred to each register corresponding to the second stage, so that the data between the two threshold-crossing effective signals can be effectively protected, and the effectiveness and the reliability of the leading extreme value data in the previous lightning judgment area are ensured.

The 16 extremum data entering the second stage will be immediately compared in magnitude. The extreme value comparison adopts a 4-level pipeline processing mode, so that the final extreme value can be found out only by 1 clock cycle, and the effectiveness and the reliability of extreme value data are ensured when the extreme value data are compared with the peak value.

The realization method and the processing mode of the minimum value searching unit and the maximum value searching unit are consistent, and only in timeThe reference time length processed by the minimum value searching unit is 560 when the parameters on the segments are different

Likewise, a 16-segment division method is adopted, so that each segment is 35

The counter count value is 175 points. The effective time length is 525

To 560

。

Fig. 4 is a data diagram of a functional verification test performed on a maximum finding cell. As shown in fig. 4, this represents the finding of the maximum value for a certain piece of data under the control of the time counter. In the figure, the clock signal is denoted by Cnt, pmax but the previous maximum value of the data, according to the design idea of the maximum finding cell, shiftEn shift transfer enable is enabled when counting 50, and the data in Pmax is transferred to the maximum register max1_1 at the rising edge of the next cycle, and max1_1 is transferred to max1_2 and so on. In the figure, when shiftEn is high, the data in Pmax is 2098, and the original data 2089 transferred to max1_1, max1 _1is transferred to max1_2, similar to the step-by-step data transfer, the original 2086 in max1_14 is transferred to max1_15, and the original data 2088 in max1 _15is removed. After counting to 50, when the next clock rises, the counter is cleared, counting is restarted, pmax continues to search for the maximum value, data in max1_ 1-max 1_15 are kept, and a next shift enabling effective signal is waited.

As shown in fig. 5, it is shown that when a valid threshold trigger signal is present, i.e. a cross threshold signal is present, the current data of the first level maximum register will be fed into the second level maximum register for data protection, while the first level maximum register continues to perform maximum value search for each segment under the control of the time counter. In the figure, overTH represents an overthreshold state, overTHreg is a delay register of overTH, and the overthreshold state of current data is reflected through the combination of overThreg and overTH.

As shown in fig. 6 and 7, this represents a 4-level data maximum finding process that is performed after the data enters the second level registers. When a valid threshold crossing signal exists, the data enters a second-stage register, and then the maximum value of the data is searched. As shown in the figure, the 4-level maximum comparison search can be completed in one cycle. And at 307

And when the mark is valid, sending the searched maximum value.

The waiting state module is used for triggering an effective signal to work, and in the waiting state, the electric field identification unit always waits for a peak value confirmation signal given by the magnetic field identification unit; the magnetic field identification unit is in a searching state of a signal peak value after being triggered by the threshold-crossing effective signal, once the signal peak value is confirmed, the magnetic field identification unit sends a confirmation signal to the system, and the electric field identification unit monitors the signal all the time; when the magnetic field peak value confirmation signal is monitored, the electric field identification unit starts to judge the polarity of the current electric field data and synchronously starts the clock timing, specifically, starts 307

And (5) timing by using a clock.

The judgment of the polarity of the electric field comprises two point-taking judgment methods: the first method is to use the validity of the threshold-crossing signal as the mark time and the polarity of the data after the time as the polarity judgment reference of the whole electric field; the second method is a judgment in which the polarity of electric field peak data corresponding to a magnetic field peak is taken as the polarity of the entire electric field. The second polarity determination method is used in this design. After the peak value of the electric field is determined, firstly, amplitude comparison is carried out according to the comparison relation between the electric field and the peak value of the magnetic field, and the signal intensity is required to be not lower than a reference threshold value. According to the difference of the polarities, the electric field identification unit enters a corresponding positive polarity or negative polarity identification state.

As an alternative embodiment, the positive polarity identification state includes: the positive polarity identification is an identification process performed on a positive polarity lightning signal, and when the signal is determined to be positive polarity, the minimum value of the negative polarity leader corresponding to the positive polarity peak value, the minimum value of the negative polarity overshoot, and other related parameters are determined according to positive polarity determination conditions. It should be noted that the amplitude comparison of the pilot process is an immediate validity judgment condition, when the pilot condition does not satisfy the set condition, the immediate valid state jump flag will be set, and the system will jump to the initial state when the next clock cycle arrives, and restart to perform signal identification. The amplitude judgment condition of the negative polarity overshoot is a delay effective judgment condition, namely when certain data does not meet the set condition within the specified time, the state is reflected on the delay jump mark information bit, and when no other immediate jump condition is effective, the electric field identification unit continues to keep the existing state until the specified time is over. When the necessary judgment time is over, all information bits on the delay jump mark are transferred to a top-level system for comprehensive state judgment.

The negative polarity identification state includes: the negative polarity identification is an identification process carried out on the lightning signal with the negative polarity, and when the signal is judged to be the negative polarity, the maximum value of the positive polarity leader corresponding to the negative polarity peak value, the maximum value of the positive polarity overshoot and other related parameters are respectively judged according to a negative polarity judgment condition. It should be noted that the amplitude comparison of the pilot process is an immediate validity judgment condition, when the pilot condition does not satisfy the set condition, the immediate valid state jump flag will be set, and the system will jump to the initial state when the next clock cycle arrives, and restart to perform signal identification. And the amplitude judgment condition of the positive polarity overshoot is a delayed effective judgment condition, and when no other immediate jump condition is effective, the electric field identification unit continues to keep the existing state until the specified time is over. When the necessary decision time is over, all information bits on the delayed jump flag will be transferred to the top system for comprehensive state decision.

The positive polarity identification state and the negative polarity identification state are alternative state processes, and only one polarity identification state process exists in signal data processing in the same time point.

As shown in fig. 8, which is a data test for the electric field identification unit. The data _ in is input waveform data, the waveform data is actual waveform data measured in a lightning discharge process, and white noise superposition processing is carried out on the original waveform data before the data _ in is input to the electric field identification unit; overTH is a threshold-passing state signal, and the high level is effective; t307

EN finds the confirmation signal of the peak value for the magnetic field, and the high level is effective; time307 is a time timer. In this test, the magnetic field peak data has been given as 1000, and peak finding is performed using a pilot identification unit. As shown in the figure, when the over-threshold signal is valid, the pilot recognition unit immediately sends out the maximum value and the minimum value within a predetermined time period, which are 2101 and 1952, respectively, and then the peak confirmation signal is valid, the electric field recognition unit judges the polarity, and then the recognition state jumps to the state 2, namely, the positive electric field signal recognition state, and at the same time, the time307 starts to clock, and since the given signal meets the set condition, the electric field recognition unit gives out the confirmation signal when the timing is terminated, and enters the state 1 after two cycles, and starts a new processing procedure.

The state jump process of the electric field recognition unit when the pilot condition is not satisfied is analyzed below. As shown in fig. 9, the leading reverse minimum value is set to 1936 according to the actual test waveform, and when the over-threshold signal is active, both the forward maximum value and the reverse minimum value are shifted to the register corresponding to the electric field identification unit. When the peak acknowledge signal is active, the identification unit enters state 2, as shown at state. Because the pilot condition is not satisfied, it can be seen from the figure that when the next period comes, the electric field error flag signal is set high, as shown in E0_ Fail in the figure, and then at the next clock, the state of the identification unit enters the 0 state, all the flags and related information bits are initially reset, and then when the rising edge of the new clock comes, the identification unit enters the state 1 again, and starts to wait for the peak confirmation signal of the magnetic field identification unit. Starting from the peak acknowledge signal and going to the new starvation wait state, the identification unit takes 3 clock cycles.

Fig. 10 is a schematic diagram of state transition of the electric field recognition unit. In fig. 10, the detection of the positive and negative polarity states is the only choice, and there are no two polarity identification processes at the same time. For the stability of each state, each state is closed and continuously and stably operates according to a set condition, and the current state can jump out and is transferred into the set state only after the current data meets the state jump condition.

Regarding the setting of the effective duration of the peak confirmation signal, the peak confirmation is limited in time by the condition of the identification model, and if the peak confirmation signal still exists in the specified time, the system judges that the current input signal is a non-lightning signal. Then the peak is confirmed during the valid period of time and the magnetic field identification unit will issue a peak finding confirmation flag signal. The effective duration of the confirmation signal has a significant influence on the state change of the electric field recognition unit, especially when an immediate jump signal is present.

As shown in fig. 11, the pilot data does not satisfy the setting condition, so when the peak confirmation signal is valid, the recognition unit will immediately perform the state jump and resume the waiting state, and at this time, if the confirmation signal is not changed in time, the recognition unit will not correctly confirm the peak point, thereby causing the immediate jump signal to repeat the action. In the figure, T307

After the EN signal is active (high), and immediately set low, at T307

Within the effective time of the EN signal, the E0_ Fail signal changes to and from high and low levels, the state signal changes in a circulating mode in three states of 2, 0 and 1, and the electric field identification unit works abnormally. To avoid this condition, two measures are takenApplying: 1, defining the effective work period of the peak value confirmation signal; 2, every time the system is transferred to the initial state, the peak confirmation signal is set to be low.

Regarding the data synchronization problem of the pilot process maximum value searching unit, a trigger threshold signal can be set as a reference time point, and in the data process stream, the pilot unit and the electric field identification unit are synchronously processed in data time sequence by adopting a parallel processing mode. In view of the clock reference point, the leading extreme value searching unit is in front of the electric field identification unit, and the actual working trigger signal of the electric field working enable signal is based on the peak confirmation signal except the system enable signal of the electric field working enable signal, so that the leading data is ahead of the data in the electric field identification unit. As shown in fig. 12.

The present invention is not limited to the above embodiments, which are merely preferred embodiments of the present invention, and the present invention is not limited thereto, and any modifications, equivalents and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Example 3

According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored program, wherein when the program runs, a device in which the computer-readable storage medium is located is controlled to execute any one of the above-mentioned lightning signal-based electric field identification methods.

Optionally, in this embodiment, the computer-readable storage medium may be located in any one of a group of computer terminals in a computer network or in any one of a group of mobile terminals, and the computer-readable storage medium includes a stored program.

Optionally, the program when executed controls an apparatus in which the computer-readable storage medium is located to perform the following functions: acquiring a lightning signal measured in a primary lightning discharge process, and determining whether the lightning signal is effective; after the thunder and lightning signals are confirmed to be effective, conducting pilot processing on the thunder and lightning signals to pilot extreme value data, and entering an identification waiting state; after entering an identification waiting state, confirming the peak time and the peak point data of the electric field; and after the electric field peak value confirmation signal is effective, judging the polarity of the lightning signal.

Example 5

According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a program, where the program executes the method for identifying an electric field based on a lightning signal according to any one of the above.

The embodiment of the invention provides equipment which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the electric field identification method based on the lightning signal.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other manners. The above-described system embodiments are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, and the indirect coupling or communication connection between the units or modules may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. An electric field identification method based on lightning signals is characterized by comprising the following steps:

2. The method of claim 1, wherein white noise superposition processing is performed on the waveform data of the lightning signal before it is confirmed whether the lightning signal is valid.

3. The method of claim 1, wherein the determining whether the lightning signal is valid is determining whether the threshold crossing signal is valid.

4. The method of claim 1, wherein the pilot processing is searching for the minimum and maximum values of the pilot process of the lightning electromagnetic wave signal, and the searching for the leading extreme values of the electric field is divided into searching for the minimum value of the positive polarity lightning electromagnetic wave signal electric field pilot and searching for the maximum value of the negative polarity lightning electromagnetic wave signal electric field pilot according to different electric field pilot extreme values of the electric field polarity.

5. The method of claim 1, wherein determining the polarity of the lightning signal comprises: comparing amplitudes according to the comparison relation between the electric field and the magnetic field peak value, and requiring that the signal intensity is not lower than a reference threshold value; and judging whether the lightning signal belongs to a positive polarity or negative polarity identification state according to the difference of the polarities.

6. The lightning signal-based electric field identification method of claim 1, wherein the electric field peak time and the peak point data are confirmed by monitoring a peak confirmation signal of the magnetic field path.

7. The method of claim 1, wherein the polarity of the lightning signal is determined to start a clock, and data in the identification process is fed back after the clock is ended.

8. An electric field identification unit based on lightning signals, comprising:

the initial state module is used for controlling the initial state entering and jumping to be controlled by a main control signal, an electric field and magnetic field path confirmation signal; when any one of the main control signal, the electric field and magnetic field circuit confirmation signal gives out reset or initialization information, the electric field identification unit enters an initial state in the next period; in the initial state, setting initial values of all related registers and flag information bits, and turning the state to a waiting state;

9. A computer-readable storage medium, comprising a stored program, wherein when the program runs, the computer-readable storage medium controls a device to execute the method for identifying an electric field based on a lightning signal according to any one of claims 1 to 7.

10. A processor, characterized in that the processor is configured to run a program, wherein the program is run to execute the lightning signal-based electric field identification method according to any one of claims 1 to 7.