CN107727978A - A kind of electric precipitation electric field spark flashover detection method and system - Google Patents
A kind of electric precipitation electric field spark flashover detection method and system Download PDFInfo
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- CN107727978A CN107727978A CN201711158903.2A CN201711158903A CN107727978A CN 107727978 A CN107727978 A CN 107727978A CN 201711158903 A CN201711158903 A CN 201711158903A CN 107727978 A CN107727978 A CN 107727978A
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Abstract
The invention provides a kind of electric precipitation electric field spark flashover detection method, including：Gather the secondary voltage of deduster internal electric field and the feedback signal of secondary current；Multiple time parameters are set to carry out certain operations to feedback signal and obtain a plurality of of feedback signal smoothly moving equal line, it is a plurality of smoothly to move the smooth mobile Jun Xian races of equal line composition；Spark flashover signal is judged based on the overlapping relation for smoothly moving equal line in the smooth mobile Jun Xian races and generates spark flashover energy level.The present invention can reliably identify spark flashover signal exactly, and can carry out level analysis to spark flashover.The invention also discloses a kind of electric precipitation electric field spark flashover detecting system.
Description
Technical Field
The invention relates to the technical field of flue gas treatment, in particular to a spark flashover detection method and system for an electric dust removal electric field.
Background
In order to meet the requirement of high-efficiency energy-saving operation of the electric dust collector, the novel high-voltage power supply supplies power to the electric field in various modes such as direct current, intermittence and pulse, pursues the operating voltage parameter as high as possible in the electric field, and inevitably generates a spark flashover phenomenon in the electric field due to severe change of the working condition of smoke inside the dust collector; in the conventional technology for detecting spark flashover, a secondary voltage or current feedback signal is sampled, and the spark flashover of an electric field is judged by detecting the spark harmonic of secondary current or detecting the change of the secondary voltage or current through a preset reference comparison level; under the actual working condition, parasitic oscillation which cannot be eliminated exists in a cathode anode electrical structure, a high-voltage output loop and a feedback sampling loop in an electric field of an electric dust collector, the waveform of a feedback signal of secondary voltage or current is inevitably mixed with a large amount of harmonic signals, which shows that the interference of the feedback sampling signal is serious, and the waveform is mixed with a large amount of burrs and peak clutter, so that the spark flashover signal is difficult to accurately and reliably identify by the existing spark flashover detection technology, and false detection or missing detection often occurs under certain conditions.
Modern electric dust collectors are required to operate in a high-efficiency and low-energy-consumption mode, a high-voltage power supply accurately detects the spark flashover of an electric field, and the high-voltage power supply is the basis of operation control of the electric dust collector, and excellent operation control of high efficiency and low energy consumption requires that the high-voltage power supply not only can accurately detect the spark flashover of the electric field, but also can distinguish the energy level of each spark flashover; by utilizing the existing technology for detecting the spark flashover, firstly, a spark flashover signal is difficult to accurately and reliably identify, and secondly, the energy level of the spark flashover cannot be analyzed.
In summary, it can be seen that the problem that it is difficult to accurately and reliably identify a spark flashover signal by using the conventional spark flashover detection technology, false detection or missing detection often occurs in some cases, and the magnitude of the spark flashover cannot be determined is overcome, that is, performing energy level analysis on the spark flashover is an urgent issue to be solved at present.
Disclosure of Invention
In view of the above, the invention provides a method and a system for detecting spark flashover of an electric field of electric dust removal, which can accurately and reliably identify a spark flashover signal and can perform energy level analysis on the spark flashover.
The invention provides a method for detecting electric field spark flashover of electric precipitation, which comprises the following steps:
collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
and judging a spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
Preferably, the setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal includes:
and setting a plurality of time parameters to perform integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
Preferably, the setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal includes:
and setting a plurality of time parameters to carry out average value operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
Preferably, the setting a plurality of time parameters to perform an integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal includes:
based on the formulaWherein V is a feedback signal, t is a time parameter, n time parameters t are set for integral operation, n ≧ 2, t = t 1 、t 2 、...、t n Then, a group of n smooth moving average line families is obtained:
preferably, the setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal includes:
based on the formulaWherein V is a feedback signal, m is the number of signal sampling times, n time parameters are set for averaging, where n is ≧ 2, a group of n smooth moving averaging families is obtained:
an electric precipitation electric field spark flashover detection system, includes:
the collection module is used for collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
the operation module is used for setting a plurality of time parameters to carry out specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
and the generation module is used for judging the spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
Preferably, the operation module includes:
and the integral operation unit is used for setting a plurality of time parameters to carry out integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
Preferably, the operation module includes:
and the average value operation unit is used for setting a plurality of time parameters to carry out average value operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
Preferably, the integral operation unit is specifically configured to:
based on the formulaWhere V is the feedback signal, tSetting n time parameters t for time parameters to perform integral operation, wherein n is not less than 2, t = t 1 、t 2 、...、t n Then, a group of n smooth moving average line families is obtained:
preferably, the average value operation unit is specifically configured to:
based on the formula
Wherein V is a feedback signal, m is the number of signal sampling times, n time parameters are set for averaging, where n is ≧ 2, a group of n smooth moving averaging families is obtained:
according to the technical scheme, the invention provides the electric field spark flashover detection method for the electric dust collector, which comprises the steps of firstly collecting feedback signals of secondary voltage and secondary current of an electric field in the dust collector; then setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family; and finally, generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of an embodiment 1 of an electric precipitation electric field spark flashover detection method disclosed in the present invention;
FIG. 2 is a schematic flow chart of an embodiment 2 of the electric field spark flashover detection method for electric precipitation disclosed in the present invention;
FIG. 3 is a schematic flow chart of an embodiment 3 of the electric field spark flashover detection method for electric precipitation disclosed in the present invention;
FIG. 4 is a schematic structural diagram of an embodiment 1 of an electric precipitation electric field spark flashover detection system disclosed in the present invention;
FIG. 5 is a schematic structural diagram of an embodiment 2 of an electric precipitation electric field spark flashover detection system disclosed in the present invention;
FIG. 6 is a schematic structural diagram of an embodiment 3 of an electric precipitation electric field spark flashover detection system disclosed in the present invention;
FIG. 7 is a graph of a smoothly moving homogeneous plot of a sparkless flashover signal according to the present disclosure;
FIG. 8 is a graphical representation of a smoothly moving homogeneous plot with spark flashover signals as disclosed herein.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
As shown in fig. 1, a schematic flow diagram of an embodiment 1 of an electric precipitation electric field spark flashover detection method disclosed by the present invention is shown, and the method includes:
s101, collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
in order to meet the requirement of high-efficiency energy-saving operation of an electric dust collector, a novel high-voltage power supply supplies power to an electric field in various modes such as direct current, intermission, pulse and the like, and pursues the operation voltage parameter as high as possible in the electric field. When electric field spark flashover during power supply operation of a high-voltage power supply in the electric dust collector needs to be detected, secondary voltage and secondary current feedback signals of the electric field in the electric dust collector need to be collected at first.
S102, setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are required to be set to carry out specific operation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the smooth moving average lines form a smooth moving average line group.
S103, judging a spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
After the smooth moving average line family is obtained, the smooth moving average line family is analyzed, the spark flashover signal is judged according to the intersection relation of the two smooth moving average lines, and the spark flashover signal is judged according to the intersection relation of the smooth moving average lines in more than three smooth moving average line families, and the spark flashover signal is generated to form the spark flashover energy level.
In summary, in the above embodiments, when electric field spark flashover is detected when a high voltage power supply inside an electric precipitator needs to be powered, first, feedback signals of secondary voltage and secondary current of an electric field inside the electric precipitator are collected, then, a plurality of time parameters are set based on the collected feedback signals, specific operation is performed on the feedback signals to obtain a plurality of smooth movement average lines of the feedback signals, the plurality of smooth movement average lines form a smooth movement average line group, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth movement average lines in the smooth movement average line group to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
As shown in fig. 2, which is a schematic flow chart of an embodiment 2 of the electric field spark flashover detection method for electric precipitation disclosed by the invention, the method comprises the following steps:
s201, collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
when electric field spark flashover is detected when a high-voltage power supply in the electric dust collector is required to supply power to operate, firstly, feedback signals of secondary voltage and secondary current of an electric field in the electric dust collector are required to be collected.
S202, setting a plurality of time parameters to perform integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are required to be set to carry out integral operation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the plurality of smooth moving average lines form a smooth moving average line group.
And S203, judging a spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
After the smooth moving average line family is obtained, the smooth moving average line family is analyzed, the spark flashover signal is judged according to the intersection relation of the two smooth moving average lines, and the spark flashover signal is judged according to the intersection relation of the smooth moving average lines in more than three smooth moving average line families, and the spark flashover signal is generated to form the spark flashover energy level.
In summary, in the above embodiments, when electric field spark flashover during operation of supplying power to a high voltage power supply inside an electric dust collector needs to be detected, first, feedback signals of secondary voltage and secondary current of an electric field inside the electric dust collector are collected, then, a plurality of time parameters are set based on the collected feedback signals, the feedback signals are subjected to integral operation to obtain a plurality of smooth moving average lines of the feedback signals, the plurality of smooth moving average lines form a smooth moving average line family, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth moving average lines in the smooth moving average line family to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
Specifically, in the above embodiment, a plurality of time parameters are set to perform integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, and the operation may be performed according to the following formula:
wherein V is a feedback signal, t is a time parameter, n time parameters t are set for integral operation, wherein n is not less than 2, t =t 1 、t 2 、...、t n Obtaining a group of n smooth moving average line families; selecting proper time parameter as t 1 <t 2 <...<t n At this time, t 1 Has a smooth moving average line of f (t) 1 )，t 2 Has a smooth moving average line of f (t) 2 )，...，t n The smooth moving average line of (c) is f (t) n )，
The change rule of the smooth moving average line family during spark flashover is researched, and the spark flashover can be accurately judged.
When the electric field of the electric dust collector generates spark flashover, the impedance of the electric field changes rapidly, and at the moment, the secondary voltage drops and the secondary current rises; f (t) 1 ) The mutation is started first and the variation is the largest, f (t) 2 ) Second mutation and its variation second, f (t) n ) The nth mutation with the least amount of change; when n is larger than or equal to 3, the intensity level of n-1 spark flashovers, namely the energy level of the spark flashovers, can be analyzed. To conveniently distinguish the spark energy level, a coefficient k is introduced:
wherein the time parameter t (t = t) 1 、t 2 、...、t n ) N, corresponding to a coefficient of k = k 1 、k 2 、...、k n 。
The following examples illustrate:
the pulse high-voltage power supply of the basic superimposed pulse high-voltage power supply is provided with a pulse width of 250uS,
taking n =5, setting parameters as follows 1 ＝25，t 2 ＝50，t 3 ＝100、t 4 ＝200，t 5 ＝400；k 1 ＝1、k 2 ＝1/1.1，k 3 ＝1/1.3，k 4 ＝1/1.7，k 5 =1/2.4; a group of 5 line groups is obtained, and as shown in fig. 7, when the electric field has no spark flashover, the voltage of the electric field tends to be stable; as shown in FIG. 8, when the spark flashover occurs, the voltage of the electric field drops suddenly, f (t) 1 ) Line first mutates, then f (t) 2 ) Then f (t) 3 )、f(t 4 )、f(t 5 ) The line successively changes abruptly, as long as the flashover energy is large enough, f (t) 1 ) The lines are respectively connected with f (t) in turn 2 )、f(t 3 )、f(t 4 )、f(t 5 ) Intersecting, namely, the flashover signal can be accurately judged; when f (t) 1 ) Only with f (t) 2 ) Crossing, determining a micro flashover when f (t) 1 ) Only with f (t) 2 ) And f (t) 3 ) Crossing, then a small flashover can be determined, when f (t) 1 ) Only with f (t) 2 ) And f (t) 3 )、f(t 4 ) Crossing, it can be determined that there is a flashover in one time when f (t) 1 ) And f (t) 2 ) And f (t) 3 )、f(t 4 )、f(t 5 ) Crossing, one large flashover can be determined, and 4 energy levels of the electric field flashover can be distinguished. It should be noted that different power supply devices and electric field loads respectively correspond to different t n And k n And (4) parameters.
As shown in fig. 3, which is a schematic flow chart of embodiment 3 of the electric field spark flashover detection method for electric precipitation disclosed in the present invention, the method includes:
s301, collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
when electric field spark flashover during power supply operation of a high-voltage power supply in the electric dust collector needs to be detected, secondary voltage and secondary current feedback signals of the electric field in the electric dust collector need to be collected at first.
S302, setting a plurality of time parameters to perform average value operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are required to be set to carry out average value operation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the plurality of smooth moving average lines form a smooth moving average line group.
And S303, judging a spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
And after obtaining the smooth moving average line family, analyzing the smooth moving average line family, judging a spark flashover signal according to the intersection relation of two smooth moving average lines, and judging the spark flashover signal and generating a spark flashover energy level according to the intersection relation of more than three smooth moving average lines in the smooth moving average line family.
In summary, in the above embodiments, when electric field spark flashover is detected when a high voltage power supply inside an electric dust collector is required to be powered, first, feedback signals of secondary voltage and secondary current of an electric field inside the electric dust collector are collected, then, a plurality of time parameters are set based on the collected feedback signals, the feedback signals are subjected to average value operation to obtain a plurality of smooth moving average lines of the feedback signals, the plurality of smooth moving average lines form a smooth moving average line family, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth moving average lines in the smooth moving average line family to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
Specifically, in the above embodiment, a plurality of time parameters are set to perform an average operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, and the operation may be performed according to the following formula:
wherein, V is a feedback signal, m is the number of signal sampling, m times of signal sampling is carried out on the signal at fixed intervals, the average value of the signal is calculated, wherein the time parameter = m multiplied by the interval time of each average value, and the average value points obtained each time are connected together to obtain a smooth moving average line f (m); when n time parameters are set for averaging, wherein n is greater than or equal to 2, a group of n smooth moving averaging lines is obtained:
it should be noted that the change laws of the smoothly moving average line family obtained by the average value operation and the integral operation are similar when the spark is in a flashover, and therefore, the description is not given here.
As shown in fig. 4, which is a schematic structural diagram of an embodiment 1 of an electric precipitation electric field spark flashover detection system disclosed in the present invention, the system includes:
the acquisition module 401 is used for acquiring feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
when electric field spark flashover during power supply operation of a high-voltage power supply in the electric dust collector needs to be detected, secondary voltage and secondary current feedback signals of the electric field in the electric dust collector need to be collected at first.
An operation module 402, configured to set a plurality of time parameters to perform specific operation on the feedback signal, so as to obtain a plurality of smooth moving average lines of the feedback signal, where the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are required to be set to carry out specific operation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the plurality of smooth moving average lines form a smooth moving average line group.
And a generating module 403, configured to determine a spark flashover signal and generate a spark flashover energy level based on an intersection relationship of the smooth moving average lines in the smooth moving average line family.
And after obtaining the smooth moving average line family, analyzing the smooth moving average line family, judging a spark flashover signal according to the intersection relation of two smooth moving average lines, and judging the spark flashover signal and generating a spark flashover energy level according to the intersection relation of more than three smooth moving average lines in the smooth moving average line family.
In summary, in the above embodiments, when electric field spark flashover is detected when a high voltage power supply inside an electric dust collector is required to be powered, first, feedback signals of secondary voltage and secondary current of an electric field inside the electric dust collector are collected, then, a plurality of time parameters are set based on the collected feedback signals, specific operation is performed on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, the plurality of smooth moving average lines form a smooth moving average line family, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth moving average lines in the smooth moving average line family to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
As shown in fig. 5, which is a schematic structural diagram of an embodiment 2 of an electric dust removal electric field spark flashover detection system disclosed in the present invention, the system includes:
the acquisition module 501 is used for acquiring feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
when electric field spark flashover during power supply operation of a high-voltage power supply in the electric dust collector needs to be detected, secondary voltage and secondary current feedback signals of the electric field in the electric dust collector need to be collected at first.
An integral operation unit 502, configured to set a plurality of time parameters to perform integral operation on the feedback signal, so as to obtain a plurality of smooth moving average lines of the feedback signal, where the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are required to be set to carry out integral operation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the plurality of smooth moving average lines form a smooth moving average line group.
And a generating module 503, configured to determine a spark flashover signal and generate a spark flashover energy level based on an intersection relationship of the smooth moving average lines in the smooth moving average line family.
After the smooth moving average line family is obtained, the smooth moving average line family is analyzed, the spark flashover signal is judged according to the intersection relation of the two smooth moving average lines, and the spark flashover signal is judged according to the intersection relation of the smooth moving average lines in more than three smooth moving average line families, and the spark flashover signal is generated to form the spark flashover energy level.
In summary, in the above embodiments, when electric field spark flashover is detected when a high voltage power supply in an electric precipitator is required to be powered, first, feedback signals of secondary voltage and secondary current of an electric field in the electric precipitator are collected, then, a plurality of time parameters are set based on the collected feedback signals, integral operation is performed on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, the plurality of smooth moving average lines form a smooth moving average line group, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth moving average lines in the smooth moving average line group to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
Specifically, in the above embodiment, a plurality of time parameters are set to perform integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, and the operation may be performed according to the following formula:
wherein V is a feedback signal, t is a time parameter, n time parameters t are set for integral operation, wherein n is not less than 2, t =t 1 、t 2 、...、t n Obtaining a group of n smooth moving average line families; selecting proper time parameter as t 1 <t 2 <...<t n At this time, t 1 Has a smooth moving average line of f (t) 1 )，t 2 The smooth moving average line of (c) is f (t) 2 )，...，t n Has a smooth moving average line of f (t) n )，
The change rule of the smooth moving average line family during spark flashover is researched, and the spark flashover can be accurately judged.
When the electric field of the electric dust collectorWhen spark flashover occurs, the impedance of an electric field changes rapidly, and at the moment, the secondary voltage drops and the secondary current rises; f (t) 1 ) The mutation is started first and the variation is the largest, f (t) 2 ) Second mutation and its variation second, f (t) n ) The nth mutation with the least amount of change; when n is larger than or equal to 3, n-1 spark flashover intensity levels, namely the energy levels of the spark flashover, can be analyzed. To facilitate discrimination of the spark energy level, a coefficient k is introduced:
wherein the time parameter t (t = t) 1 、t 2 、...、t n ) Of n pieces of the corresponding coefficient k = k 1 、k 2 、...、k n 。
The following examples illustrate:
the pulse high-voltage power supply of the basic superimposed pulse high-voltage power supply is characterized in that if the pulse width is 250uS,
taking n =5, setting parameters as t 1 ＝25，t 2 ＝50，t 3 ＝100、t 4 ＝200，t 5 ＝400；k 1 ＝1、k 2 ＝1/1.1，k 3 ＝1/1.3，k 4 ＝1/1.7，k 5 =1/2.4; a group of 5 line families is obtained, and as shown in fig. 7, when the electric field has no spark flashover, the electric field voltage tends to be stable; as shown in FIG. 8, when the spark flashover occurs, the voltage of the electric field drops suddenly, f (t) 1 ) Line mutations first, then f (t) 2 ) Then f (t) 3 )、f(t 4 )、f(t 5 ) The lines successively mutate, provided that the flashover energy is sufficiently large, f (t) 1 ) The lines are respectively connected with f (t) in turn 2 )、f(t 3 )、f(t 4 )、f(t 5 ) Intersecting, namely, accurately judging a flashover signal; when f (t) 1 ) Only with f (t) 2 ) Crossing, a micro flashover can be determined when f (t) 1 ) Only with f (t) 2 ) And f (t) 3 ) Crossing, then a small flashover can be determined, when f (t) 1 ) Only with f (t) 2 ) And f (t) 3 )、f(t 4 ) Crossing, determining a medium flashover when f (t) 1 ) And f (t) 2 ) And f (t) 3 )、f(t 4 )、f(t 5 ) Crossing, one large flashover can be determined, and 4 energy levels of the electric field flashover can be distinguished. It should be noted that different power supply devices and electric field loads should correspond to different t n And k n And (4) parameters.
As shown in fig. 6, which is a schematic structural diagram of an embodiment 3 of an electric dust removal electric field spark flashover detection system disclosed in the present invention, the system includes:
the acquisition module 601 is used for acquiring feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
when electric field spark flashover during power supply operation of a high-voltage power supply in the electric dust collector needs to be detected, secondary voltage and secondary current feedback signals of the electric field in the electric dust collector need to be collected at first.
The average value operation unit 602 is configured to set a plurality of time parameters to perform average value operation on the feedback signal, so as to obtain a plurality of smooth moving average lines of the feedback signal, where the plurality of smooth moving average lines form a smooth moving average line family;
after the feedback signals of the secondary voltage and the secondary current of the electric field in the dust remover are collected, a plurality of time parameters are needed to be set to carry out average value calculation on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, and the smooth moving average lines form a smooth moving average line group.
The generating module 603 is configured to determine a spark flashover signal and generate a spark flashover energy level based on an intersection relationship of the smooth moving average lines in the smooth moving average line family.
After the smooth moving average line family is obtained, the smooth moving average line family is analyzed, the spark flashover signal is judged according to the intersection relation of the two smooth moving average lines, and the spark flashover signal is judged according to the intersection relation of the smooth moving average lines in more than three smooth moving average line families, and the spark flashover signal is generated to form the spark flashover energy level.
In summary, in the above embodiments, when electric field spark flashover is detected when a high voltage power supply inside an electric dust collector is required to be powered, first, feedback signals of secondary voltage and secondary current of an electric field inside the electric dust collector are collected, then, a plurality of time parameters are set based on the collected feedback signals, an average value operation is performed on the feedback signals to obtain a plurality of smooth moving average lines of the feedback signals, the plurality of smooth moving average lines form a smooth moving average line family, and finally, a spark flashover signal is analyzed and judged based on an intersection relationship of the smooth moving average lines in the smooth moving average line family to generate a spark flashover energy level. According to the invention, through the intersection relation of the smooth moving average lines of the feedback signals, the spark flashover signals can be accurately and reliably identified through the intersection points, and the energy level of the spark flashover can be analyzed through the number of the intersection points, so that the energy level of the spark network can be determined.
Specifically, in the above embodiment, a plurality of time parameters are set to perform an average operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, and the operation may be performed according to the following formula:
wherein, V is a feedback signal, m is the number of signal sampling, m times of signal sampling is carried out on the signal at fixed intervals, the average value of the signal is calculated, wherein the time parameter = m multiplied by the interval time of each average value, and the average value points obtained each time are connected together to obtain a smooth moving average line f (m); when we set n time parameters to perform averaging, where n is ≧ 2, a group of n smooth moving average line families is obtained:
it should be noted that the change laws of the smoothly moving average line family obtained by the average value operation and the integral operation are similar when the spark is in a flashover, and therefore, the description is not given here.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An electric field spark flashover detection method for electric precipitation is characterized by comprising the following steps:
collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
setting a plurality of time parameters to perform specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, wherein the plurality of smooth moving average lines form a smooth moving average line family;
and judging a spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
2. The method of claim 1, wherein the setting the plurality of time parameters to perform the specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal comprises:
and setting a plurality of time parameters to carry out integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
3. The method of claim 1, wherein the setting a plurality of time parameters to perform a specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal comprises:
and setting a plurality of time parameters to carry out average value operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
4. The method of claim 2, wherein the setting a plurality of time parameters to perform an integration operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal comprises:
based on the formulaWherein V is a feedback signal, t is a time parameter, n time parameters t are set for integral operation, wherein n is not less than 2, t =t 1 、t 2 、...、t n Then, a group of n smooth moving average line families is obtained:
5. the method of claim 3, wherein the setting a plurality of time parameters to perform a specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal comprises:
based on the formulaWherein V is a feedback signal, m is the number of signal sampling times, n time parameters are set for averaging, where n is ≧ 2, a group of n smooth moving averaging families is obtained:
6. the utility model provides an electric precipitation electric field spark flashover detecting system which characterized in that includes:
the collection module is used for collecting feedback signals of secondary voltage and secondary current of an electric field in the dust remover;
the operation module is used for setting a plurality of time parameters to carry out specific operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal, and the plurality of smooth moving average lines form a smooth moving average line family;
and the generation module is used for judging the spark flashover signal and generating a spark flashover energy level based on the intersection relation of the smooth moving average lines in the smooth moving average line family.
7. The system of claim 6, wherein the operation module comprises:
and the integral operation unit is used for setting a plurality of time parameters to carry out integral operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
8. The system of claim 6, wherein the operation module comprises:
and the average value operation unit is used for setting a plurality of time parameters to carry out average value operation on the feedback signal to obtain a plurality of smooth moving average lines of the feedback signal.
9. The system of claim 7, wherein the integral operation unit is specifically configured to:
based on the formulaWherein V is a feedback signal, t is a time parameter, n time parameters t are set for integral operation, n ≧ 2, t = t 1 、t 2 、...、t n Then, a group of n smooth moving average line families is obtained:
10. the system according to claim 8, wherein the average operation unit is specifically configured to:
based on the formula
Wherein V is a feedback signal, m is the number of signal sampling times, n time parameters are set for averaging, where n is greater than or equal to 2, and a group of n smooth moving averaging families is obtained:
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