CN101692149A - Wave crest seeking method and wave crest seeking system - Google Patents

Abstract

The invention discloses a method for finding a wave peak. The method for finding a wave peak includes the following steps: collecting input waveform data; locating the system state according to the current data and the last data of the waveform data; and determining the wave peak position according to the system state . The peak finding method of the present invention does not need a large amount of storage space and many instruction cycles, and the peak finding precision is high. The invention also discloses a wave peak finding system.

Description

Peak finding method and peak finding system

technical field

The invention relates to a fiber grating data transmission system, in particular to a method and a system for finding wave peaks in the fiber grating data transmission system.

Background technique

With the introduction of fiber gratings, various complex all-fiber communication and sensor networks have spread throughout the entire communication field. Fiber Bragg gratings are being used more and more because of their high transmission rate and low attenuation. The manufacturing process of the existing fiber grating is as follows: through a certain process, the incident photon from the outside interacts with the doped particles in the fiber core, resulting in periodic or non-periodic permanent changes in the refractive index of the fiber core along the axial direction. A spatial phase grating is formed inside.

Fiber grating data transmission system includes data modulation system and data demodulation system. The data modulation system converts data information into an electromagnetic wave (carrier) signal suitable for transmission on an analog channel, and limits the frequency within the frequency range supported by the analog channel. The data demodulation system restores the carrier signal received from the analog channel into data information.

Most of the existing fiber grating data demodulation systems use DSP (Digital Signal Processor, Digital Signal Processor), ARM (Advanced RISC Machine, Advanced Reduced Instruction Set Computer) or single-chip microcomputer to demodulate the wavelength by finding the peak. The above three demodulation methods generally use one cycle as a reference to collect data during the peak search process, and perform peak search processing on the data under the Gaussian transformation command. The Gaussian transformation instruction includes a polynomial-Gaussian formula fitting method instruction and a Gaussian formula fitting method instruction. The instruction of the polynomial-Gaussian formula fitting method includes the instruction of performing Gaussian function-polynomial transformation on the collected waveform curve data and the instruction of finding the wave peak by the general polynomial fitting method. The Gaussian formula fitting instruction is an instruction to directly use the collected waveform curve data as a Gaussian function for fitting processing, so the Gaussian formula fitting instruction does not perform polynomial transformation processing on the data. In addition, the existing peak finding method also involves sequentially comparing instructions based on n points before and after the peak to find the peak.

However, using the polynomial-Gaussian formula fitting method instruction or the Gaussian formula fitting method instruction to find the peak needs to have enough memory to store the data of one cycle of collection, and the instruction needs to consume a lot of instruction cycles, thus not only affecting the wave peak Seeking speed, but also limits the speed of FBG data demodulation system. However, the use of successive comparison instructions to find the peaks is achieved through successive comparisons, so the accuracy is not high and the anti-interference ability is weak. Based on the above discussion, none of the above peak finding methods using the three instructions is suitable for a fiber grating data demodulation system that requires high system speed and accuracy.

Therefore, it is necessary to provide an improved peak finding method and system to overcome the defects of the prior art.

Contents of the invention

The purpose of the embodiments of the present invention is to provide a peak finding method and a peak finding system, which do not require a large amount of storage space and many instruction cycles, and have high peak finding accuracy.

In order to achieve the above object, the present invention provides a method for finding a peak, the method for finding a peak includes the following steps: collecting input waveform data; locating the system state according to the current data and last data of the waveform data; and according to the The system state determines the peak location.

Preferably, after the step of collecting the input waveform data, it further includes: judging whether the last data of the waveform data is greater than the opening threshold, then, the positioning system according to the current data and the last data of the waveform data The step of state is specifically: when the last data of the waveform data is less than the opening threshold, continue to collect the input waveform data; when the last data of the waveform data is greater than the opening threshold, according to the The current data and the last data of the waveform data locate the system status.

In one embodiment of the present invention, the step of locating the system state according to the current data of the waveform data and the last data is specifically: judging whether the current data of the waveform data is smaller than the threshold; when the When the current data of the waveform data is less than the opening threshold, the system state is positioned as a non-initial state; then, the step of determining the peak position according to the system state is specifically: selecting whether to accept the peak value, when selecting to receive the peak value , determining the peak position according to the current data and the last data.

In another embodiment of the present invention, the step of locating the system state according to the current data of the waveform data and the last data is specifically: judging whether the current data of the waveform data is smaller than the threshold; when the When the current data of the waveform data is greater than the opening threshold, judge whether the current data of the waveform data is less than the last data of the waveform data; when the current data of the waveform data is less than the last data of the waveform data , locate the state of the system as a descending state, and perform a descending count to determine whether the last data is equal to the maximum peak data, and when the last data is equal to the maximum peak data, the current time of the current data Recorded as the end time.

Preferably, before the step of determining the peak position according to the system state, it further includes: judging whether the count value of the down count is greater than the maximum down count value; when the count value of the down count is greater than the maximum down count value When locating the system state is a completed state, the step of determining the peak position according to the system state specifically includes: determining the peak position according to the end time.

In still another embodiment of the present invention, the peak finding method further includes: when the current data of the waveform data is greater than the last data of the waveform data, locating the state of the system as a rising state; judging the waveform Whether the current data of the data is greater than the maximum peak data; when the current data of the waveform data is greater than the maximum peak data, the current data is recorded as the maximum peak data, the current time of the current data is recorded as the start time, and The count value of the counting down is reset to zero, then, the step of determining the peak position according to the end time specifically includes: locating the peak according to the end time and the start time.

Preferably, the step of locating the peak according to the end time and the start time is specifically: when the end time is zero, setting the start time as the peak occurrence time; when the end time When it is not zero, the average value of the start time and the end time is set as the peak occurrence time.

In yet another embodiment of the present invention, the peak finding method further includes: when the current data of the waveform data is equal to the last data of the waveform data, locating the system state as a steady state; judging the waveform Whether the current data of the data is greater than the maximum peak data; when the current data of the waveform data is greater than the maximum peak data, the current data is recorded as the maximum peak data, and the current time of the current data is recorded as the start time.

The present invention also provides a wave peak finding system, which includes a waveform data acquisition module, a system state positioning module and a wave peak position determination module. The waveform data acquisition module is used to collect input waveform data; the system state positioning module is used to locate the system state according to the current data and last data of the waveform data collected by the waveform data acquisition module; the peak position determination module It is used to determine the peak position according to the system state located by the system state positioning module.

In one embodiment of the present invention, the system state location module includes a data threshold comparison and judgment unit, an acceptance and selection unit, a last-current data comparison and judgment unit, and a system state location unit. The data threshold comparison judging unit is used to judge whether the current data and last data of the waveform data collected by the waveform data acquisition module are greater than the opening threshold. The acceptance selection unit is used to judge whether to accept the peak value when the data threshold comparison judging unit judges that the last data of the waveform data is greater than the opening threshold and the current data is smaller than the opening threshold; -The current data comparison judging unit is used to judge whether the current data of the waveform data is greater than the waveform data when the data threshold comparison judging unit judges that the last data and the current data of the waveform data are greater than the opening threshold The last data; the system status locating unit is used for locating the system status according to the judgment result of the last-current data comparison judging unit.

In summary, the peak finding method and the peak finding system of the present invention determine the peak position according to the current data of the waveform data and the last data positioning system state, and the system state tracks and locates the input waveform in real time, so when searching There is no need to consume memory to store one cycle of data during the wave peak process, and fewer instructions are required to find the wave peak, which saves a lot of storage space and waveform analysis time, and the speed of finding the wave peak is fast and the accuracy is high.

Description of drawings

Fig. 1 is a flow chart of the first embodiment of the peak finding method of the present invention.

Fig. 2 is a flow chart of the second embodiment of the peak finding method of the present invention.

FIG. 3 is a schematic diagram of system state transition of the peak finding method shown in FIG. 2 .

Fig. 4 is a structural block diagram of the peak finding system of the present invention.

Fig. 5 is a structural block diagram of a system state location module of the peak finding system shown in Fig. 4 .

FIG. 6 is a structural block diagram of a system state locating unit of the system state locating module shown in FIG. 5 .

Detailed ways

Embodiments of the present invention will now be described with reference to the drawings, in which like reference numerals represent like elements. As mentioned above, the peak-finding method and the peak-finding system of the present invention do not require a large amount of storage space and many instruction cycles, and the peak-finding accuracy is high. It will be elaborated below.

Fig. 1 is a flow chart of the peak finding method of the present invention. As shown in Figure 1, described peak finding method comprises the steps:

Step S10: collecting input waveform data;

Step S20: Judging whether the last data of the waveform data is greater than the opening threshold (the opening threshold can be dynamically set according to the actual environment. The judging step is to filter out system interference caused by power supply, wiring, etc.) , when the last data of the waveform data is less than the opening threshold (the last data here can be considered as interference from the outside world, so the last data is not analyzed, and the system works in the initial state), Turn to step S100, when the last data of the waveform data is greater than the opening threshold, continue to step S300;

Step S300 locates the system state according to the current data and the last data of the waveform data (at this moment, the system starts to analyze the data and works in the peak-seeking state);

Step S400 determines the peak position according to the system state.

It can be seen from the above that the peak finding method of this embodiment determines the peak position according to the current data of the waveform data and the last data positioning system state, so there is no need to consume memory to store data for one cycle, and there are few instructions to realize the peak search. It saves a lot of storage space and waveform analysis time, and finds the peak with fast speed and high precision.

Fig. 2 is a flow chart of the second embodiment of the peak finding method of the present invention.

Step S100: collecting input waveform data;

Step S200: Judging whether the last data of the waveform data is greater than the opening threshold, when the last data of the waveform data is greater than the opening threshold, continue to step S300, when the last data of the waveform data is less than the opening threshold When opening the threshold value, turn to step S100;

Step S300: judging whether the current data of the waveform data is less than the opening threshold, when the current data of the waveform data is less than the opening threshold, proceed to step S411, when the current data of the waveform data is greater than the When the threshold is turned on, go to step S421;

Step S411: Locating the system state as a non-initial state (indicating that the system has generated a waveform with a shorter period);

Step S412: Choose whether to accept the peak value (here you can choose whether to accept this type of waveform according to the actual situation, for example, you can judge whether it is the clutter from the system or the waveform due to the deformation of the sensor by the size of the sampled data), when you choose to receive the peak value , continue to step S413, when choosing not to receive the peak value, go to step S100;

Step S413: Determine the peak position according to the current data and the last data;

Step S421: judge whether the current data of the waveform data is smaller than the last data of the waveform data, and when the current data of the waveform data is greater than the last data of the waveform data (indicating that a rising edge is generated), continue to the step S511, when the current data of the waveform data is equal to the last data of the waveform data, turn to step S521, when the current data of the waveform data is smaller than the last data of the waveform data (indicating that a falling edge has occurred) , go to step S531;

Step S511: Locating the system state as rising state;

Step S512: judging whether the current data of the waveform data is greater than the maximum peak data, when the current data of the waveform data is greater than the maximum peak data, continue to step S513, otherwise go to step S100;

Step S513: Record the current data as the maximum peak data, record the current time of the current data as the start time, clear the count value of the down count, and go to step S100;

Step S521: Positioning the system state as a steady state;

Step S522: judging whether the current data of the waveform data is greater than the maximum peak data, when the current data of the waveform data is greater than the maximum peak data, continue to step S523, otherwise step S100;

Step S523: Record the current data as the maximum peak data, record the current time of the current data as the start time, and go to step S100;

Step S531: Locating the system state as a down state, and performing a down count,

Step S532: Judging whether the last data is equal to the maximum peak data, if the last data is equal to the maximum peak data, continue to step S533, otherwise go to step S100;

Step S533: Record the current time of the current data as the end time;

Step S534: judging whether the count value of the down count is greater than the maximum down count value, when the count value of the down count is greater than the maximum down count value, continue to step S535, otherwise go to step S100;

Step S535: Locating the system state as the completed state;

Step S536: Set the corresponding flag bit to notify the system to find the peak, and locate the peak according to the end time and the start time.

Wherein, the step S536 is specifically: when the end time is zero (indicating that a peak has been collected), the start time is set as the peak occurrence time; when the end time is not zero (indicating that a flat peak has been collected) ), the average value of the start time and the end time is set as the peak occurrence time.

It can be seen from the above that the peak finding method of this embodiment tracks and locates the input waveform in real time through the system state, and through the conversion of the system state (initial state, rising state, steady state, falling state, and completed state), the system is always consistent with The current state is synchronized. This method records the maximum peak data, start time, end time and number of drops in real time. When the current data is the maximum value, update the maximum peak data and start time; when the last data is the maximum peak data and the current sampling value is smaller than the last sampling value, update the end time, so that the system state changes synchronously with the waveform . When the current sampled value is less than the last sampled value, update the number of drops. The present invention can control the resolution of waveform analysis by setting the maximum falling count value of the falling times, and realize self-defined demodulation precision. For example, when there are closely spaced peaks in the system, the analysis accuracy can be improved by reducing the maximum count down value.

FIG. 3 is a schematic diagram of system state transition of the peak finding method shown in FIG. 2 . As shown in the figure, the system state may be: when the current data is less than the opening threshold, the system transitions from the initial state to the initial state, as shown by arrow 20 in the figure. In the initial state, when the current data is greater than the last data, the system switches from the initial state to the rising state, as shown by arrow 21 in the figure. In the rising state, when the current data is greater than the last data, the system will switch from the rising state to the rising state, as shown by arrow 22 in the figure. In the rising state, when the current data is equal to the last data, the system will switch from the rising state to the steady state, as shown by arrow 23 in the figure. In the rising state, when the current data is smaller than the last data, the system switches from the rising state to the falling state, as shown by arrow 24 in the figure. In the steady state, when the current data is equal to the last data, the system transitions from the steady state to the steady state, as shown by arrow 25 in the figure. In the steady state, when the current data is greater than the last data, the system transitions from the steady state to the rising state, as shown by arrow 26 in the figure. In the steady state, when the current data is smaller than the last data, the system transitions from the steady state to the descending state, as shown by arrow 27 in the figure. In the descending state, when the current data is greater than the last data, the system switches from the descending state to the rising state, as shown by arrow 28 in the figure. In the descending state, when the current data is equal to the last data, the system transitions from the descending state to the steady state, as shown by arrow 29 in the figure. In the descending state, when the current data is smaller than the last data, the system switches from the descending state to the descending state, as shown by arrow 30 in the figure. In the down state, when the count value of the down count is greater than the maximum down count value, the system transitions from the down state to the complete state, as shown by arrow 31 in the figure. In the completed state, when it is necessary to continue to search for the peak, the system switches from the completed state to the initial state, as shown by the arrow 32 in the figure.

Fig. 4 is a structural block diagram of the peak finding system of the present invention. The peak finding system includes a waveform data acquisition module 100 , a system status positioning module 200 and a peak position determination module 300 . The waveform data acquisition module 100 is used to collect the input waveform data; the system state positioning module 200 is used to locate the system state according to the current data and last data of the waveform data collected by the waveform data acquisition module 100; The position determination module 300 is used to determine the peak position according to the system status located by the system status positioning module 200 .

Wherein, as shown in FIG. 4 , the system state location module 200 includes a data threshold comparison and judgment unit 210 , an acceptance selection subunit 220 , a last-current data comparison judgment unit 230 and a system state location unit 240 .

The data threshold comparison judging unit 210 is used to judge whether the current data and last data of the waveform data collected by the waveform data collection module 100 are greater than the opening threshold. The opening threshold can be dynamically set according to the actual environment. The data threshold comparison judgment unit 210 judges the last data in order to filter out the system interference caused by power supply, wiring, etc., when the data threshold comparison judgment unit 210 judges the last time of the waveform data When the data is less than the opening threshold, the last data here can be considered as interference from the outside world, so the last data will not be analyzed, the system works in the initial state, and continues to input data. When the data threshold comparison judging unit 210 judges that the last data of the waveform data is greater than the opening threshold, the system starts to analyze the data, locates the system state according to the current data of the waveform data and the last data, and works in Peak seeking state.

The acceptance selection unit 220 is configured to locate the system state when the data threshold comparison judging unit 210 judges that the last data is greater than the opening threshold and the current data is less than the opening threshold It is a non-initial state (indicating that the system has generated a waveform with a short cycle), and judge whether to accept the peak value. Here, you can choose whether to accept this type of waveform according to the actual situation. For example, you can judge whether it is clutter from the system or due to the size of the sampled data. The waveform generated by the deformation of the sensor. When selecting to receive the peak value, the peak position determining module 300 determines the peak position according to the current data and the last data.

The last-current data comparison judging unit 230 is used for judging whether the current data of the waveform data is greater than The last data of the waveform data.

The system state locating unit 240 is used for locating the system state according to the result judged by the last-current data comparison judgment unit 230 .

In this embodiment, the peak finding system needs to initialize the system before the waveform data acquisition module 100 collects data, so that the system is in an initial state. In addition, the system is provided with a last data register and a current data register. The last data register is used to save the data sampled last time by the waveform data acquisition module 100 , and the current data register is used to save the data currently sampled by the waveform data acquisition module 100 . In each sampling cycle, once the system analyzes the data and is about to start the next sampling, the value of the current data saved in the current data register is assigned to the last data register, so that the last data register always saves the previous subsampled data. In addition, the system is also provided with a maximum peak data register, an end time register, a start time register and a falling times counter. The maximum peak data register is used to save the maximum sampling value. The end time register and the start time register are used to save the sampling time, and the falling times counter is used to record the falling times.

In detail, as shown in FIG. 6 , the system state positioning unit 240 includes a current data-maximum peak data comparison and judgment subunit 241, a first processing subunit 242, a fourth processing subunit 246, a second processing subunit 243, The last data-maximum peak data comparison and judgment subunit 244 , the third processing subunit 245 , the descending times-maximum descending count value comparison and judgment subunit 247 , and the fifth processing subunit 248 .

The current data-maximum peak data comparison and judgment subunit 241 is used to judge the current data of the waveform data when the last-current data comparison and judgment unit 230 judges that the current data of the waveform data is greater than or equal to the last data of the waveform data. Check whether the current data of the waveform data is greater than the maximum peak data of the maximum peak data register.

The first processing subunit 242 is configured to determine that the current data of the waveform data is greater than the last data of the waveform data and the current data-maximum peak data comparison judgment unit 230 When the subunit 241 judges that the current data of the waveform data is greater than the maximum peak data of the maximum peak data register, the system state is positioned as a rising state, and the current data is stored in the maximum peak data register, and the The current time of the current data arrives at the start time register, and the count value of the number of times of falling counter is cleared to zero simultaneously,

The fourth processing subunit 246 is used for comparing and judging when the last time-current data comparison judging unit 230 judges that the current data of the waveform data is equal to the last data of the waveform data and the current data-maximum peak data comparison judgment When the subunit 241 judges that the current data of the waveform data is greater than the maximum peak data of the maximum peak data register, the system state is positioned as a stable state, the current data is saved to the maximum peak data register, and the the current time of the current data into the start time register,

The second processing subunit 243 is configured to locate the system state as a down state when the last-current data comparison judging unit 230 judges that the current data of the waveform data is smaller than the last data of the waveform data, Carry out down counting to described number of times of down counting counter;

The last data-maximum peak data comparison and judging subunit 244 is used for judging the Whether the last data is equal to the maximum peak data;

The third processing subunit 245 is configured to save the current time of the current data to the end time when the last data-maximum peak data comparison judgment subunit 244 judges that the last data is equal to the maximum peak data register;

The number of times of falling-maximum falling count value comparison judgment subunit 247 is used to judge whether the count value of the counting number of times of falling is greater than the maximum counting value of falling,

The fifth processing subunit 248 is configured to locate the system state as a complete state when the counting value of the descending times counter is greater than the maximum descending count value when the descending times-maximum descending count value comparison judgment subunit 247 judges, And locate the peak according to the end time of the end time register and the start time of the start time register.

Wherein, the fifth processing subunit 248 locates the peak specifically as follows: when the end time is zero (indicating that a peak has been collected), the start time is set as the peak occurrence time; when the end time is not zero (indicating that a flat peak has been collected), the average value of the start time and the end time is set as the peak occurrence time.

It can be seen from the above that the peak finding system of this embodiment tracks and locates the input waveform in real time through the system state, and through the conversion of the system state (initial state, rising state, steady state, falling state, and completed state), the system is always consistent with The current state is synchronized, so there is no need for a large storage space and many instruction cycles, and the peak-finding accuracy is high. At the same time, the system can control the resolution of waveform analysis by setting the value of the maximum down count value, and realize custom demodulation accuracy.

The above description is a preferred embodiment of the present invention, and it should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications are also considered Be the protection scope of the present invention.

Claims (10)

1. A method for finding a wave peak, comprising the steps of: Acquire input waveform data; Positioning the system state based on the current data and the last data of the waveform data; and A peak location is determined based on the system state. 2. The wave peak finding method as claimed in claim 1, is characterized in that, after the step of the waveform data of described collection input also comprises: Judging whether the last data of the waveform data is greater than the opening threshold, Then, the step of locating the system state according to the current data of the waveform data and the last data is specifically: When the last data of the waveform data is less than the opening threshold, continue to collect the input waveform data; and When the last data of the waveform data is greater than the opening threshold, the state of the system is positioned according to the current data and the last data of the waveform data. 3. The wave peak finding method as claimed in claim 2, wherein the step of the described current data and last data location system state according to the waveform data is specifically: judging whether the current data of the waveform data is smaller than the opening threshold; and When the current data of the waveform data is less than the opening threshold, locating the system state as a non-initial state; Then, the step of determining the peak position according to the system state is specifically: choose whether to accept peaks; and When the peak value is selected to be received, the peak position is determined according to the current data and the last data. 4. The wave peak finding method as claimed in claim 2, characterized in that, the step of the described current data and last data positioning system state according to the waveform data is specifically: judging whether the current data of the waveform data is less than the opening threshold; When the current data of the waveform data is greater than the opening threshold, judging whether the current data of the waveform data is smaller than the last data of the waveform data; When the current data of the waveform data is smaller than the last data of the waveform data, positioning the system state as a down state, and performing a down count; and Judging whether the last data is equal to the maximum peak data, and recording the current time of the current data as the end time when the last data is equal to the maximum peak data. 5. The wave peak finding method as claimed in claim 4, characterized in that, before the step of determining the peak position according to the system state, it also includes: judging whether the count value of the down count is greater than the maximum down count value; and When the count value of the down count is greater than the maximum down count value, locating the system state as a complete state, Then, the step of determining the peak position according to the system state is specifically: Determine the peak position according to the end time. 6. The wave peak finding method as claimed in claim 4, is characterized in that, also comprises: When the current data of the waveform data is greater than the last data of the waveform data, locating the system state as a rising state; judging whether the current data of the waveform data is greater than the maximum peak data; and When the current data of the waveform data is greater than the maximum peak data, the current data is recorded as the maximum peak data, the current time of the current data is recorded as the start time, and the count value of the descending count is cleared, Then, the step of determining the peak position according to the end time is specifically: Peaks are located according to the end time and the start time. 7. The wave peak finding method according to claim 6, wherein the step of locating the wave peak according to the end time and the start time is specifically: When the end time is zero, setting the start time as the peak occurrence time; and When the end time is not zero, the average value of the start time and the end time is set as the peak occurrence time. 8. The wave peak finding method as claimed in claim 4, is characterized in that, also comprises: When the current data of the waveform data is equal to the last data of the waveform data, locating the system state as a steady state; judging whether the current data of the waveform data is greater than the maximum peak data; and When the current data of the waveform data is greater than the maximum peak data, record the current data as the maximum peak data, and record the current time of the current data as the start time. 9. A peak finding system comprising: Waveform data acquisition module, used to collect input waveform data; A system status locating module, configured to locate the system status according to the current data and last data of the waveform data collected by the waveform data acquisition module; and A peak position determining module, configured to determine the peak position according to the system state located by the system state positioning module. 10. The wave peak finding system as claimed in claim 9, is characterized in that, the system state location module comprises: A data threshold comparison judging unit for judging whether the current data of the waveform data collected by the waveform data acquisition module and the last data are greater than the opening threshold, An acceptance selection unit, configured to determine whether to accept a peak value when the data threshold comparison judging unit judges that the last data of the waveform data is greater than the opening threshold and the current data is smaller than the opening threshold; Last time-current data comparison judging unit, used to judge whether the current data of the waveform data is greater than the threshold value when the data threshold comparison judging unit judges that the last data and the current data of the waveform data are greater than the threshold the previous data of the waveform data; and A system state locating unit, configured to locate the system state according to the judgment result of the last-current data comparison judgment unit.

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