CN115545064A - Pulse signal accumulation identification method - Google Patents
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- CN115545064A CN115545064A CN202111495331.3A CN202111495331A CN115545064A CN 115545064 A CN115545064 A CN 115545064A CN 202111495331 A CN202111495331 A CN 202111495331A CN 115545064 A CN115545064 A CN 115545064A
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- Y02E30/00—Energy generation of nuclear origin
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Abstract
The invention discloses a pulse signal accumulation identification method, which comprises the following steps: 1. filtering and shaping the pulse signal and establishing a signal assembly line; 2. setting two sampling points which are arranged at intervals; 3. giving a slope change rule without accumulation of the pulse signal after trapezoidal filtering forming and calculating a baseline value and an amplitude value of the pulse signal; 4. and pulse signal accumulation identification. The method meets the requirement of instant pulse signal accumulation identification and judgment, can identify accumulation conditions of different degrees on a production line after pulse signals are filtered and formed, gives a judgment result in an instant manner, can calculate a baseline value and an amplitude value of the pulse signals, and has more excellent calculation performance.
Description
Technical Field
The invention belongs to the technical field of pulse signal accumulation identification, and particularly relates to a pulse signal accumulation identification method.
Background
Due to the randomness of nuclear radiation decay, nuclear pulse signals can be accumulated to different degrees, effective accumulation identification is achieved, and the resolution performance of the acquired energy spectrum is improved. At present, with the progress of signal processing technology and computer science, the advantage of processing pulse signals in a digital manner is embodied, and real-time signal acquisition and processing also become an inevitable trend of future development. However, different judgment methods are required for different accumulation conditions, and in the process of realizing the algorithm, the signal processing speed is reduced, and the dead time in the signal processing process is increased. Therefore, a method for instantly judging the accumulation condition of the pulse signal is needed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a pulse signal accumulation identification method, which can meet the requirement of real-time pulse signal accumulation identification and judgment, and the method can identify accumulation conditions of different degrees, give a judgment result in real time, and calculate a baseline value and an amplitude value of a pulse signal on a production line after the pulse signal is filtered and formed, so that the calculation performance is more superior, and the method is convenient for popularization and use.
In order to solve the technical problems, the invention adopts the technical scheme that: a pulse signal accumulation identification method is characterized by comprising the following steps:
step one, pulse signal filtering and shaping and establishing a signal assembly line: performing trapezoidal filtering forming on the nuclear pulse signal and establishing a signal assembly line;
step two, two sampling points which are arranged at intervals are arranged: setting two sampling points a and two sampling points b which are arranged at intervals, wherein the sampling points a are behind the sampling points b, and the width between the sampling points a and the sampling points b is less than that of the trapezoidal flat top;
wherein, the sampling point a lags behind the sampling point b by M sampling moments, M is a positive integer;
step three, setting a slope change rule of the pulse signal without accumulation after trapezoidal filtering forming and calculating a baseline value and an amplitude value of the pulse signal: when the pulse signal is not accumulated, a linear slope K value formed by connecting the sampling point a and the sampling point b rises first, when K is larger than a set first slope threshold value, the rising edge of the trapezoidal signal is judged to arrive, at the moment, N values are superposed by starting from the value of the sampling point a, the average value of the current superposed value is calculated, and therefore the baseline value of the pulse signal is determined, wherein N is not larger than a positive integer of M;
when the K value approaches zero again, judging that the flat top position of the trapezoidal signal comes, superposing N values by the value of the sampling point a at the moment, calculating the average value of the current superposed value, calculating the peak value of the pulse signal according to the average value, and using the difference value of the peak value and the baseline value as the amplitude value of the pulse signal;
when the K value is less than zero, judging that the falling edge of the trapezoidal signal comes;
when the K value approaches zero again, judging that the trapezoidal signal is ended;
step four, pulse signal accumulation identification:
when the slope K value of a straight line formed by connecting the sampling point a and the sampling point b rises first, then tends to zero, is smaller than zero and then is larger than zero, at the moment, pulse signal accumulation is judged, and the pulse signal accumulation is a first accumulation type of the pulse signals;
when the pulse time interval after the trapezoidal shaping of the pulse signal is equal to the sum of the rising time and the flat top time, when the K value approaches zero for the second time, the values of the sampling point a and the sampling point b are both larger than zero, the pulse signal accumulation is judged, and the pulse signal accumulation is a second accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the sum of the rising time and the flat top time and is larger than the rising time, identifying that the flat top cannot be reached according to the change of the K value, judging that the pulse signal is accumulated, wherein the pulse signal is accumulated into a third accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal forming of the pulse signals is equal to the rising time, if the amplitudes of two adjacent pulse signals are equal, the flat top can be identified according to the change of the K value, a data point after the flat top is finished is calculated by using a sampling point a at the moment, and if the amplitude is greater than the flat top time of a single trapezoidal pulse signal, the pulse signals are judged to be accumulated; when the amplitudes of the two pulses are not equal, identifying that the flat top cannot be reached, and directly judging that the pulse signals are accumulated to be a fourth accumulation type of the pulse signals;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the rising time and larger than the flat-top time, and when the amplitudes of the two pulses are unequal, the change of the K value on the rising edge and the falling edge will fluctuate, and the pulse signal is judged to be accumulated if the change exceeds a preset second slope threshold; when the amplitudes of the two pulses are equal, a flat top can be identified according to the change of the K value, but the rising edge and the falling edge will fluctuate and exceed a preset second slope threshold value, pulse signal accumulation is judged, and the pulse signal accumulation is a fifth accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is less than or equal to the flat-top time, the change of the K value on the rising edge and the falling edge will fluctuate, and no flat-top time exists, the pulse signal accumulation is judged, and the pulse signal accumulation is the sixth accumulation type of the pulse signal.
The pulse signal accumulation identification method is characterized in that: the nuclear pulse signal is a double-exponential pulse signal.
The pulse signal accumulation identification method is characterized in that: the first accumulation type of the pulse signals is pulse signal front edge accumulation.
The pulse signal accumulation identification method is characterized in that: the first slope threshold is smaller than the rising edge slope of the trapezoidal signal, and the second slope threshold is larger than the rising edge slope of the trapezoidal signal.
Compared with the prior art, the invention has the following advantages:
1. the invention carries out filtering forming on the double-exponential pulse signal, filters out high-frequency noise, eliminates long trailing of the double-exponential signal and is convenient for popularization and use.
2. The method is characterized in that two sampling points which are arranged at intervals are arranged, namely the sampling point a and the sampling point b, the sampling point a is behind the sampling point b, the width between the sampling point a and the sampling point b is smaller than the width of a trapezoidal flat top, the change of the slope K of a straight line formed by connecting the two points is detected, and when the accumulation conditions are different, the change of the slopes of the two points can correspondingly change to be used as a basis for judging the accumulation condition of the pulse signals, so that the method is reliable and stable, and has a good using effect.
3. The method has simple steps, when the pulse signals are not accumulated, the linear slope K value formed by connecting the sampling point a and the sampling point b rises firstly, when the K is greater than the set first slope threshold value, the rising edge of the trapezoidal signal is judged to arrive, at the moment, the value of the sampling point a is overlapped with N values, the average value of the current overlapped value is calculated, the baseline value of the pulse signals is determined, the operation amount of a computer is reduced, the resource waste is avoided, and meanwhile, the calculation result is reliable; when the K value approaches zero again, judging that the flat top position of the trapezoidal signal comes, superposing N values by the value of the sampling point a at the moment, calculating the average value of the current superposed value, calculating the peak value of the pulse signal according to the average value, and using the difference value of the peak value and the baseline value as the amplitude value of the pulse signal; the calculation performance is superior, and the popularization and the use are convenient.
In summary, the method meets the requirement for real-time pulse signal accumulation identification and judgment, can identify accumulation conditions of different degrees on a production line after pulse signals are filtered and formed, can give a judgment result in real time, can calculate a baseline value and an amplitude value of the pulse signals, has more excellent calculation performance, and is convenient to popularize and use.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a waveform diagram of the pulse signal of the present invention when no pile-up occurs.
FIG. 2 is a waveform diagram illustrating a first type of pulse accumulation according to the present invention.
FIG. 3 is a waveform diagram of pulse signal stacking into the second and third stacking types of pulse signals according to the present invention.
FIG. 4 is a waveform diagram illustrating pulse signal stacking according to a fourth stacking type of the present invention.
FIG. 5 is a waveform diagram illustrating pulse signal stacking according to a fifth stacking type of the present invention.
FIG. 6 is a waveform diagram illustrating pulse stacking into a sixth stacking type of pulse signals according to the present invention.
FIG. 7 is a block diagram of a method flow of the present invention.
Detailed Description
As shown in fig. 1 to 7, a pulse signal accumulation identification method of the present invention includes the following steps:
step one, pulse signal filtering and shaping and establishing a signal assembly line: performing trapezoidal filtering forming on the nuclear pulse signal and establishing a signal assembly line;
step two, two sampling points which are arranged at intervals are arranged: setting two sampling points a and two sampling points b which are arranged at intervals, wherein the sampling points a are behind the sampling points b, and the width between the sampling points a and the sampling points b is less than that of the trapezoidal flat top;
wherein, the sampling point a lags behind the sampling point b by M sampling moments, M is a positive integer;
step three, setting a slope change rule of the pulse signal without accumulation after trapezoidal filtering forming and calculating a baseline value and an amplitude value of the pulse signal: when the pulse signal is not accumulated, a linear slope K value formed by connecting the sampling point a and the sampling point b rises first, when K is larger than a set first slope threshold value, the rising edge of the trapezoidal signal is judged to arrive, at the moment, N values are superposed by starting from the value of the sampling point a, the average value of the current superposed value is calculated, and therefore the baseline value of the pulse signal is determined, wherein N is not larger than a positive integer of M;
when the K value approaches zero again, judging that the flat top position of the trapezoidal signal comes, overlapping N values by using the value of the sampling point a at the moment, calculating the average value of the current overlapped value, calculating the peak value of the pulse signal by using the average value, and using the difference value of the peak value and the baseline value as the amplitude value of the pulse signal;
when the K value is less than zero, judging that the falling edge of the trapezoidal signal comes;
when the K value approaches zero again, judging that the trapezoidal signal is ended;
step four, pulse signal accumulation and identification:
when the slope K value of a straight line formed by connecting the sampling point a and the sampling point b rises first, then tends to zero, is smaller than zero and then is larger than zero, at the moment, pulse signal accumulation is judged, and the pulse signal accumulation is of a first accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is equal to the sum of the rising time and the flat top time, when the K value approaches zero for the second time, the values of the sampling point a and the sampling point b are both larger than zero, the pulse signal accumulation is judged, and the pulse signal accumulation is a second accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the sum of the rising time and the flat top time and is larger than the rising time, identifying that the flat top cannot be reached according to the change of the K value, judging that the pulse signal is accumulated, wherein the pulse signal is accumulated into a third accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal forming of the pulse signals is equal to the rising time, if the amplitudes of two adjacent pulse signals are equal, the flat top can be identified according to the change of the K value, a data point after the flat top is finished is calculated by using a sampling point a at the moment, and if the amplitude is greater than the flat top time of a single trapezoidal pulse signal, the pulse signals are judged to be accumulated; when the amplitudes of the two pulses are not equal, identifying that the flat top cannot be reached, and directly judging pulse signal accumulation, wherein the pulse signal accumulation is a fourth accumulation type of the pulse signals;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the rising time and larger than the flat-top time, and when the amplitudes of the two pulses are unequal, the change of the K value on the rising edge and the falling edge will fluctuate, and the pulse signal is judged to be accumulated if the change exceeds a preset second slope threshold; when the amplitudes of the two pulses are equal, a flat top can be identified according to the change of the K value, but the rising edge and the falling edge will fluctuate, and if the rising edge and the falling edge exceed a preset second slope threshold value, pulse signal accumulation is judged, and the pulse signal accumulation is a fifth accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is less than or equal to the flat-top time, the change of the K value on the rising edge and the falling edge will fluctuate, and no flat-top time exists, the pulse signal accumulation is judged, and the pulse signal accumulation is the sixth accumulation type of the pulse signal.
It should be noted that, the double-exponential pulse signal is filtered and shaped, so as to filter out high-frequency noise and eliminate long tail of the double-exponential signal; setting two sampling points which are arranged at intervals, namely a sampling point a and a sampling point b, wherein the sampling point a lags behind the sampling point b, the width between the sampling point a and the sampling point b is smaller than the width of the trapezoidal flat top, detecting the change of the slope K of a straight line formed by connecting the two points, and when the stacking conditions are different, the change of the slope of the two points can correspondingly change and serve as a basis for judging the stacking condition of the pulse signals, so that the method is reliable and stable; when the pulse signals are not accumulated, a linear slope K value formed by connecting the sampling point a and the sampling point b rises first, when K is larger than a set first slope threshold value, the rising edge of the trapezoidal signals is judged to arrive, at the moment, N values are superposed by the value of the sampling point a at the moment, the average value of the current superposed values is calculated, and therefore the baseline value of the pulse signals is determined, the operation amount of a computer is reduced, resource waste is avoided, and meanwhile, the calculation result is reliable; when the K value approaches zero again, judging that the flat top position of the trapezoidal signal comes, superposing N values by the value of the sampling point a at the moment, calculating the average value of the current superposed value, calculating the peak value of the pulse signal according to the average value, and using the difference value of the peak value and the baseline value as the amplitude value of the pulse signal; the calculation performance is superior.
In this embodiment, the nuclear pulse signal is a dual-exponential pulse signal.
In this embodiment, the first accumulation type of the pulse signal is pulse signal front edge accumulation.
In this embodiment, the first slope threshold is smaller than the slope of the rising edge of the trapezoidal signal, and the second slope threshold is larger than the slope of the rising edge of the trapezoidal signal.
When the pulse signal processing device is used, the pulse signal is subjected to filtering and shaping treatment, the distance between the sampling point a and the sampling point b is wide enough and smaller than the trapezoidal flat top, and before the pulse signal comes, the K value is basically kept near 0, as shown in figure 1;
along with the lapse of time, the sampling point b firstly enters a rising edge, the slopes of the sampling point a and the sampling point b begin to increase, when the slopes are larger than a set first slope threshold value, the sampling point a is taken as the reference to begin to be superposed, and when the slope of a straight line formed by connecting the sampling point a and the sampling point b is close to the slope of the rising edge, the average value is taken to determine the baseline value of the pulse signal;
after the rising edge is finished, the K value is gradually reduced, when the trapezoidal flat top is entered, the superposition is started by taking the sampling point a as a reference, N values are superposed by taking the value of the sampling point a at the moment, the average value of the current superposition value is calculated, the peak value of the pulse signal is calculated by the average value, and the difference value of the peak value and the baseline value is used as the amplitude value of the pulse signal;
after the falling edge is finished, the K value tends to zero, and if the values of the sampling point a and the sampling point b are both close to 0, the pulse signal is judged to be finished;
when the pulse signals are piled up, the values of the K value, the flat top width, the sampling point a and the sampling point b are represented in different forms:
when the leading edge accumulation of the pulse signal occurs and the K value tends to 0 for the second time, and the values of the sampling point a and the sampling point b are both greater than 0, the accumulation is judged to occur, as shown in FIG. 2;
when the pulse interval is smaller than the sum of the rising time and the flat-top time and is larger than the rising time, if the first pulse amplitude is smaller than the second pulse amplitude, the K value is larger than 0 when the flat top of the first trapezoidal signal is finished; if the first pulse amplitude is larger than the second pulse amplitude, the K value is smaller than 0 when the flat top of the first trapezoid model is finished; if the first pulse amplitude is equal to the second pulse amplitude, the K value is equal to 0 when the first trapezoidal type flat top is finished, and the flat top width is twice of the flat top width without accumulation; FIG. 3 lists the case where the first amplitude is less than the second pulse amplitude;
when the pulse interval is equal to the rise time, if the amplitudes of the two pulses are equal, identifying a flat top according to the K value, counting based on the sampling point a, and when the obtained flat top width is larger than the flat top width under the condition of no accumulation, judging that the flat top is accumulated; if the two pulse amplitudes are different, identifying that the flat top cannot be realized, and directly judging that the flat top is accumulated; FIG. 4 lists the case where the two pulses are equal in amplitude;
when the pulse interval is smaller than the rising time and larger than the flat top width, if the amplitudes of the two pulses are equal, the flat top can be identified according to the change of the K value, but the K value is greatly deviated in a certain time period between the rising edge and the falling edge; if the amplitudes of the two pulses are not equal, identifying that the flat top cannot be identified according to the change of the K value, and directly judging that accumulation occurs; FIG. 5 lists the case where the two pulses are equal in amplitude;
when the pulse interval is smaller than the flat top width, the flat top cannot be recognized according to the change of the K value, and it is directly determined that the accumulation occurs, as shown in fig. 6.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any simple modifications, changes and equivalent structural changes made to the above embodiment according to the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.
Claims (4)
1. A pulse signal accumulation identification method is characterized by comprising the following steps:
step one, pulse signal filtering and shaping and establishing a signal assembly line: performing trapezoidal filtering forming on the nuclear pulse signal and establishing a signal assembly line;
step two, two sampling points which are arranged at intervals are arranged: setting two sampling points a and two sampling points b which are arranged at intervals, wherein the sampling points a are behind the sampling points b, and the width between the sampling points a and the sampling points b is less than that of the trapezoidal flat top;
wherein, the sampling point a lags behind the sampling point b by M sampling moments, M is a positive integer;
step three, setting a slope change rule of the pulse signal without accumulation after trapezoidal filtering forming and calculating a baseline value and an amplitude value of the pulse signal: when the pulse signal is not accumulated, a linear slope K value formed by connecting the sampling point a and the sampling point b rises first, when K is larger than a set first slope threshold value, the rising edge of the trapezoidal signal is judged to arrive, at the moment, N values are superposed by starting from the value of the sampling point a, the average value of the current superposed value is calculated, and therefore the baseline value of the pulse signal is determined, wherein N is not larger than a positive integer of M;
when the K value approaches zero again, judging that the flat top position of the trapezoidal signal comes, superposing N values by the value of the sampling point a at the moment, calculating the average value of the current superposed value, calculating the peak value of the pulse signal according to the average value, and using the difference value of the peak value and the baseline value as the amplitude value of the pulse signal;
when the K value is less than zero, judging that the falling edge of the trapezoidal signal comes;
when the K value approaches zero again, judging that the trapezoidal signal is ended;
step four, pulse signal accumulation and identification:
when the slope K value of a straight line formed by connecting the sampling point a and the sampling point b rises first, then tends to zero, is smaller than zero and then is larger than zero, at the moment, pulse signal accumulation is judged, and the pulse signal accumulation is of a first accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal forming of the pulse signal is equal to the sum of the rising time and the flat top time, when the K value tends to zero for the second time, and the values of the sampling point a and the sampling point b are both larger than zero, determining that the pulse signal is stacked, wherein the pulse signal stacking is of a second stacking type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the sum of the rising time and the flat top time and is larger than the rising time, identifying that the flat top cannot be reached according to the change of the K value, judging that the pulse signal is accumulated, wherein the pulse signal is accumulated into a third accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal forming of the pulse signals is equal to the rising time, if the amplitudes of two adjacent pulse signals are equal, the flat top can be identified according to the change of the K value, a data point after the flat top is finished is calculated by using the sampling point a at the moment, and if the amplitude is larger than the flat top time of a single trapezoidal pulse signal, the pulse signal accumulation is judged; when the amplitudes of the two pulses are not equal, identifying that the flat top cannot be reached, and directly judging that the pulse signals are accumulated to be a fourth accumulation type of the pulse signals;
when the pulse time interval after the trapezoidal shaping of the pulse signal is smaller than the rising time and larger than the flat-top time, and when the amplitudes of the two pulses are unequal, the change of the K value on the rising edge and the falling edge will fluctuate, and the pulse signal is judged to be accumulated if the change exceeds a preset second slope threshold; when the amplitudes of the two pulses are equal, a flat top can be identified according to the change of the K value, but the rising edge and the falling edge will fluctuate, and if the rising edge and the falling edge exceed a preset second slope threshold value, pulse signal accumulation is judged, and the pulse signal accumulation is a fifth accumulation type of the pulse signal;
when the pulse time interval after the trapezoidal shaping of the pulse signal is less than or equal to the flat-top time, the change of the K value on the rising edge and the falling edge will fluctuate, and no flat-top time exists, the pulse signal accumulation is judged, and the pulse signal accumulation is the sixth accumulation type of the pulse signal.
2. A pulse signal pile-up recognition method according to claim 1, characterized in that: the nuclear pulse signal is a double-exponential pulse signal.
3. A pulse signal pile-up recognition method according to claim 1, characterized in that: the first accumulation type of the pulse signals is pulse signal leading edge accumulation.
4. A pulse signal pile-up recognition method according to claim 1, characterized in that: the first slope threshold is smaller than the rising edge slope of the trapezoidal signal, and the second slope threshold is larger than the rising edge slope of the trapezoidal signal.
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