CN106443115A - Depth storage based oscilloscope - Google Patents
Depth storage based oscilloscope Download PDFInfo
- Publication number
- CN106443115A CN106443115A CN201610851335.3A CN201610851335A CN106443115A CN 106443115 A CN106443115 A CN 106443115A CN 201610851335 A CN201610851335 A CN 201610851335A CN 106443115 A CN106443115 A CN 106443115A
- Authority
- CN
- China
- Prior art keywords
- module
- unit
- memory module
- data
- waveform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003860 storage Methods 0.000 title claims abstract description 51
- 238000005259 measurement Methods 0.000 claims abstract description 94
- 238000012545 processing Methods 0.000 claims abstract description 39
- 230000015654 memory Effects 0.000 claims description 143
- 238000005070 sampling Methods 0.000 claims description 28
- 239000011159 matrix material Substances 0.000 claims description 23
- 230000000153 supplemental effect Effects 0.000 claims description 4
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 2
- 241000201976 Polycarpon Species 0.000 claims 1
- 230000026676 system process Effects 0.000 claims 1
- 230000001965 increasing effect Effects 0.000 abstract description 9
- 238000000034 method Methods 0.000 description 22
- 230000008569 process Effects 0.000 description 19
- 230000006870 function Effects 0.000 description 8
- 230000004044 response Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 230000014759 maintenance of location Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 210000001367 artery Anatomy 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000005194 fractionation Methods 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R13/00—Arrangements for displaying electric variables or waveforms
- G01R13/02—Arrangements for displaying electric variables or waveforms for displaying measured electric variables in digital form
- G01R13/0209—Arrangements for displaying electric variables or waveforms for displaying measured electric variables in digital form in numerical form
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R13/00—Arrangements for displaying electric variables or waveforms
- G01R13/04—Arrangements for displaying electric variables or waveforms for producing permanent records
Abstract
The invention discloses a depth storage based oscilloscope. The oscilloscope stores and samples concurrently through a depth storage device module so as to acquire original waveform data, so that not only the storage capacity is increased, the storage rate is also improved. In addition, parameter measurement is performed through a parameter measurement module based on all of the original waveform data in order that a waveform search module performs searching on measured parameters, and thus the accuracy of waveform searching is improved. The modules adopt perform data operations by adopting a concurrent processing mode, so that the capacity of data processing is improved, the oscilloscope is ensured to respond to operations of a user in real time, and thus values of depth storage are fully exploited.
Description
Technical field
The present invention relates to digital oscilloscope field, more particularly to a kind of oscillograph based on depth storage.
Background technology
Digital oscilloscope is the important instrument for electronic surveying.And storage depth represents what digital oscilloscope may store
Sampled point is how many to be measured, and is one of important indicator of modern digital oscilloscopes.When electronic signal is analyzed, in order to ensure that height adopts
Sample rate, while can catch a complete frame or multiframe signal again, is necessary for enough storage depths.It can be seen that big storage is deep
Degree oscillograph remains to maintain high sampling rate, it is ensured that waveform is undistorted when long-time waveform is captured.
But, undistorted just for the sake of waveform storage depth is increased, then the meaning of storage depth just could not be complete
Embody, because the value for storing deeply the mass data that brings fully is not excavated.
Therefore, the mass data for how processing depth storage is the current technical issues that need to address.
Content of the invention
In view of this, the invention discloses a kind of oscillograph based on depth storage, can not only be directed to depth storage
Mass data carries out quick storage, and improves the ability of data processing, and then guarantees the behaviour of oscillograph real-time response user
Make, the value of abundant excavating depth storage.
The invention discloses a kind of oscillograph based on depth storage, including：
Deep memory module, parameters measurement module, waveform searching module and waveform display module；
Wherein, the deep memory module includes multiple quantum memory modules, for parallel memorizing sampling obtain original
Wave data；
The parameters measurement module is connected with the deep memory module, and the parameters measurement module includes multiple based on many
The measuring unit of kind of parameter parallel processing, for the whole sampled data parallel processings to the deep memory module storage, with
While obtaining many kinds of parameters measurement result；
The waveform searching module is connected with the parameters measurement module, and the waveform searching module includes multiple parallel
Type search unit, the measurement parameter for obtaining to the parameters measurement module carries out the search of polytype parameter simultaneously；
Wherein, the type search unit is scanned for based on a kind of search-type；
The waveform display module respectively with the deep memory module, the parameters measurement module and waveform searching mould
Block connects, for the waveform arrived by the original waveform data of the deep memory module storage, the waveform searching block search
The supplemental characteristic of data and parameters measurement module measurement is shown.
Preferably, the quantum memory module, including：
Memory element, primary scene programmable logic array FPGA unit；
Wherein, the memory element is made up of parallel multiple dynamic memories, by bus and first FPGA unit
Carry out data transmission；The original sampling data of input is transferred to the memory element and is stored by first FPGA unit.
Preferably, the deep memory module, including：
First quantum memory module, the second quantum memory module, the 3rd quantum memory module, the 4th quantum memory module and
Second FPGA unit；
Wherein, the input of the input of the first quantum memory module and the 3rd quantum memory module receives former
Beginning sampled data；
The first quantum memory module and the connection of the second quantum memory module-cascade, the original waveform data is by described
The second quantum memory module is arrived in the output of first quantum memory module；The 3rd quantum memory module and the 4th quantum memory
Module carries out cascade Connection, and the original waveform data is exported to the 4th quantum memory by the 3rd quantum memory module
Module；The outfan of the second sub- memory module and the 4th sub-module stored is connected with second FPGA unit, institute
The second FPGA unit is stated for controlling the data output of each quantum memory module stores.
Preferably, the parameters measurement module, including：
Data loading unit and measurement result output unit；
Wherein, the data loading unit is connected with the deep memory module and each measuring unit respectively, is used for
The original waveform data of the deep memory module is read, and it is single that the original waveform data for reading is transported to each measurement
Parallel measurement is carried out in unit；
The measurement result output unit is connected with each measuring unit respectively, for by each measuring unit simultaneously
The multiple measurement parameters output for obtaining.
Preferably, the waveform searching module, including：
Search Results select unit and Search Results buffer unit；
Wherein, the Search Results select unit is connected with the plurality of parallel type search unit respectively, for root
Corresponding search-type number is selected according to the search-type for setting from the Search Results of each type search unit for obtaining
According to；
The search-type data that the Search Results buffer unit is obtained to the Search Results select unit carry out annular
Caching.
Preferably, the oscillograph, also includes：
Computing module three；
Wherein, the computing module is aobvious with the deep memory module, the parameters measurement module and the waveform respectively
Show that module connects, for performing mathematical calculations to the original sampling data of the deep memory module storage, and by operation result
Exporting to the parameters measurement module carries out parameter measurement or is conveyed to the waveform display module being shown.
Preferably, the computing module, including：
Input interconnection matrix unit, many sub- arithmetic elements and output interconnection matrix unit；
Wherein, the input quantity of the input interconnection matrix unit is the original sampling data of the deep memory module storage
The intermediate calculation results for exporting with the sub- arithmetic element, the deep memory module is stored by the input interconnection matrix unit
Original sampling data and the intermediate calculation results of sub- arithmetic element output export and carry out mathematics to the sub- arithmetic element
Computing；
Each sub- arithmetic element is connected with the input interconnection matrix unit, carries out mathematics for the input quantity to receiving
Computing；
Interconnected between the output interconnection matrix unit and each sub- arithmetic element, for by the sub- computing list
The final operation result of unit is exported, and the intermediate calculation results of the sub- arithmetic element are input to the input interconnection
Matrix unit, using the input quantity as the sub- arithmetic element.
Preferably, the parameters measurement module, the waveform searching module and the computing module are all using streamline
Mode carries out data processing.
With respect to prior art, the invention has the beneficial effects as follows：The present invention is by deep memory module parallel memorizing sampling
Original waveform data is obtained, is not only increased memory capacity and also improve memory rate；And it is based on whole original waveform data
Parameter measurement is carried out by parameters measurement module, so as to waveform searching module, measurement parameter is scanned for, so as to improve waveform
The accuracy of search；Each module carries out data manipulation using parallel processing manner, improves the ability of data processing, and then guarantees
The operation of oscillograph real-time response user, the value of abundant excavating depth storage.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Accompanying drawing to be used needed for technology description is had to be briefly described, it should be apparent that, drawings in the following description are only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of oscillographic structure chart based on depth storage disclosed in the embodiment of the present invention；
Fig. 2 is a kind of oscillographic structure chart based on depth storage disclosed in another embodiment of the present invention；
Fig. 3 is a kind of oscillographic structure chart based on depth storage disclosed in another embodiment of the present invention；
Fig. 4 is a kind of oscillographic structure chart based on depth storage disclosed in another embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The invention discloses a kind of oscillograph based on depth storage, can not only enter for the mass data of depth storage
Row quick storage, and the ability of data processing is improve, and then guarantee the operation of oscillograph real-time response user, fully excavate
The value of depth storage.
Referring to Fig. 1, the invention discloses a kind of oscillograph based on depth storage, including：
Deep memory module 101, parameters measurement module 102, waveform searching module 103, waveform display module 104；
Wherein, the deep memory module 101 includes multiple quantum memory modules, the original ripple that parallel memorizing sampling is obtained
It is independent between graphic data, it is possible to increase the memory capacity of memorizer, and the quantum memory module；Wherein, described show
The storage depth of ripple device be 512Mpts, the i.e. oscillographic maximum storage be 512,000,000 sampled points, that is, need right
512000000 original waveform data are stored；
The parameters measurement module 102 is connected with the deep memory module, and the parameters measurement module 102 includes multiple
512,000,000 sampled datas of the deep memory module 101 storage are carried out parallel processing, with same by parallel measuring unit
When obtain many kinds of parameters measurement result, wherein, the measuring unit is measured based on a kind of parameter, so the parameter measurement
Multiple measuring units in module can carry out the measurement of many kinds of parameters simultaneously, that is to say, that for the measurement of N number of parameter, need
Time T is wanted, the present invention is using the mode of parallel measurement, and the time for measuring N number of parameter shorten to N/T, so as to improve data processing
Speed；And the parameters measurement module 102 is to carry out parameter measurement for the original waveform data of 512Mpts, so as to
Ensure the accuracy of parameter measurement., wherein it is desired to the parameter for measuring can be voltage parameter/range parameter：Amplitude, peak-to-peak value,
Maximum, minima, overshoot, virtual value etc.；Time parameter：Rise time/fall time, period/frequency, pulse width, account for
Empty ratio, time difference, setup time/retention time etc.；Count parameter：Rise/fall is along counting, triggering frequency, statistical sample number
51 kinds of parameter types such as amount.
The waveform searching module 103 is connected with the parameters measurement module 102, and the waveform searching module 103 includes
Multiple parallel type search units, the measurement parameter obtained by the parameters measurement module 102 is while carry out polytype ginseng
The search of number；Wherein, the type search unit is scanned for based on a kind of search-type；Waveform searching can be edge, arteries and veins
The search of the condition such as wide (positive pulsewidth and negative pulsewidth), rise time, fall time, cycle, frequency and deficient width.Lead in the present embodiment
A kind of search-type that each the type search unit that crosses in the pattern search module 103 is selected according to user measures ginseng
Number search process, multiple type search unit high-speed parallels are processed, so as to improve waveform searching efficiency.
The waveform display module 104 respectively with the deep memory module 101, the parameters measurement module 102 and ripple
Shape search module 103 connects, and the supplemental characteristic of crude sampling waveform, the unusual waveforms for searching and measurement can be shown
Show.Wherein, waveform display module can show to crude sampling waveform, and waveform shows can be by 512Mpts magnanimity waveform from a left side
To right (or from right to left) roll display successively, all waveforms can be played in order without the need for manual intervention.Due to 512Mpts number
According to being very intensive when being simultaneously displayed on screen, the waveform of partial enlargement can be checked by waveform zoom function, and right
Unusual waveforms are analyzed also by zoom function in the display of the unusual waveforms for searching, the waveform searching module 103
The coordinate position of unusual waveforms that can be to searching for is marked, and the waveform display module 104 can automatic jump to labelling
Unusual waveforms position, so as to realize the display to the unusual waveforms for searching.In addition, the supplemental characteristic of measurement is with list
Form shows, so as to user, the parameter for measuring is checked.
It should be noted that oscillograph disclosed in the present embodiment employs multi-disc large-scale F PGA devices at full hardware carrying out and line number
According to process, so as to ensure the processing capability in real time of mass data.FPGA is a kind of field programmable device, by software programming side
Formula realizes difference in functionality changing internal circuit configuration.
In the present embodiment, original waveform data is obtained by the sampling of 101 parallel memorizing of deep memory module, is not only increased and deposit
Storage capacity also improves memory rate；And based on whole sampled datas, parameter measurement is carried out by parameters measurement module 102, with
Just waveform searching module 103 is analyzed to measurement parameter, and improves the accuracy of waveform searching；And each module is adopted
The mode of parallel processing, it is ensured that the operation of oscillograph real-time response user, so as to the value of abundant excavating depth storage.
Preferably, in another embodiment, referring to Fig. 2, the deep memory module 101, including：
First quantum memory module 105, the second quantum memory module 106, the 3rd quantum memory module 107, the 4th son are deposited
Memory modules 108 and the second FPGA unit 109；
Wherein, the quantum memory module includes a FPGA unit and memory element connected with the FPGA unit,
FPGA unit in the quantum memory module is used as the first FPGA unit, and the memory element is by multiple dynamic memory DDR3
Parallel composition, is carried out data transmission with the FPGA unit by bus.The original sampling data that the FPGA unit will be input into
It is transferred to the memory element to be stored.Wherein in the memory element, the number of dynamic memory DDR3 can be according to FPGA
The enhancing of the disposal ability of hardware and increase.
The input of the input of the first quantum memory module 105 and the 3rd quantum memory module 107 is received
Original waveform sampled data；The first quantum memory module 105 and 106 cascade Connection of the second quantum memory module, the original
Beginning waveform sampling data export the second quantum memory module 106 by the first quantum memory module 105；Due to described
First quantum memory module 105 and 106 cascade Connection of the second quantum memory module, when the data of same unit are processed, can
To assign to two FPGA unit while carrying out data processing, reduce so as to the total time of processing data, access rate increases；Described
3rd quantum memory module 107 and the 4th quantum memory module 108 carry out cascade Connection, and the original waveform sampled data is by institute
The output of the 3rd quantum memory module 107 is stated to the 4th quantum memory module 108；The second sub- memory module 106 and institute
The outfan for stating the 4th sub-module stored 108 is connected with another FPGA unit respectively, mono- as the 2nd FPGA using this FPGA unit
Unit 109, second FPGA unit 109 is used for controlling the output of the data of each quantum memory module stores, and first
The effect of FPGA unit is the data transfer of the memory element that control is attached thereto.It should be noted that each quantum memory mould
Block is all independent, can process alone and be input to its internal data.
For convenience of understanding, it is assumed that the memory capacity of a memory element is the deep memory module for providing d, in the present embodiment
The number of 101 quantum memory module is 4, then the total memory capacity D=4*d of the deep memorizer for providing in the present embodiment, it is seen then that
Increased the number of memory element, by increasing capacitance it is possible to increase the total memory capacity of deep memorizer.And pass through to cascade two sub- memory modules,
When the data of same unit are processed, can assign in two FPGA unit while carry out data processing, so as to processing data
Total time reduce, and then improve data processing speed, so as to improve the process performance of the deep memory module 101.
It should be noted that the number of quantum memory module in the present embodiment, is not limited, with specific reference to the deep memorizer
Depending on the storage capacity requirement of module 101.Preferably, FPGA unit is using the FPGA device of XC7K160T model, and its logic is provided
Source can reach 160,000, and processing speed can further speed up, and its data processing architecture is with respect to FPGA of the prior art
Change, and then improve process performance.
The data processing architecture of traditional FPGA：Common data flow is：Data through " memory element controller " control from
" memory element " reads, and does reduction of speed process through " bit width conversion " module, then after being processed through " sampling of data " module, then give
To each " functional module ".If the bus bit wide of " sampling of data " is L1 (usual very little, such as 32), the output of memory element controller
Bus bit wide is L2 (typically much deeper than L1, such as 512).Traditional scheme is generally limited by resource or design difficulty, common sampling
Module and bit width conversion module are separate.Under relatively low bus bit wide (L1), process resource few (usually 32 or 64),
Easily real, but process time is long.
Assume that it is M (bits) to need data total amount to be processed, then traditional data processing architecture need to the time to be processed be：
With respect to the data processing architecture that the data processing architecture of traditional FPGA, the present embodiment are provided, using extensive
Advantage more than FPGA resource, has done parallel acceleration process, is physically tying " bit width conversion " and " sampling of data " module
It is combined into " quick decimation blocks ".The data processing architecture of large-scale F PGA for then providing in the present embodiment needs the time to be processed
For：
Contrast equation (1) and formula (2), the process performance that can obtain the high-performance data processing framework of the present invention is traditional number
L2/L1 times according to processing framework.And in actual applications, it is 64 that L2 is 512, L1,8 times of traditional scheme performance boost is compared.
Resource in traditional scheme due to FPGA is less, it is generally the case that L1 is 32, with respect to the situation that L1 is 32, in the present embodiment
Processing data performance improve 16 times.In all of system, the operation for having sampling of data process is substantially all, including peak value
Sampling, systematic sampling etc., sampling multiplying power is usually arbitrary integer.Therefore, L2 the and L1 data in the present embodiment are not limited only to
This, here is no longer repeated.
It can thus be seen that the deep memory module 101 that the present embodiment is provided, due to increased the individual of quantum memory module
Number, increased the number of memory element therewith, and then improves total memory capacity and the total bandwidth of deep memorizer.Due to increased
It is cascade between quantum memory and existing quantum memory, so as to the speed of data processing is improve, and then improves deep depositing
The process performance of memory modules 101.In addition, in terms of device selection, FPGA unit preferred logic resource can be up to 160,000
FPGA hardware, further increases the process performance of the deep memory module 101, as FPGA unit is large-scale
FPGA, in memory element, the number of DDR3 granule can increase therewith, further increase total storage of deep memory module 101
Capacity and total bandwidth, so as to solve the problems, such as that in terms of existing oscillograph storage, capacity is little, bandwidth is low and process performance is poor.
Preferably, in another embodiment, referring to Fig. 3, a kind of oscillograph based on depth storage is disclosed, including：Deposit deeply
Memory modules 101, parameters measurement module 102, waveform searching module 103, waveform display module 104；
Wherein, the parameters measurement module 102 includes：Data loading unit 110, multiple parallel measurement units 111 and survey
Amount result output unit 112；
The waveform searching module 103 includes：Multiple parallel-type search units 113, Search Results select unit 114,
With Search Results buffer unit 115；
The data loading unit 110 is connected with the deep memory module 101 and each measuring unit respectively, is used for
The original waveform data of the deep memory module 101 is read, and the original waveform data for reading is transported to each survey
Parallel measurement is carried out in amount unit, it should be noted that the input of the data loading unit 110 and the deep memorizer mould
The outfan of the second FPGA unit 109 of block 101 is connected, and second FPGA unit 109 controls in each quantum memory module
Data output to the parameters measurement module 102 data loading unit 110, so as to original to receiving in each measuring unit
Wave data carries out parallel parameter measurement.
The measuring unit can include the first measuring unit, the second measuring unit, the 3rd measuring unit, but be not limited to this
Measuring unit in embodiment, the number of measuring unit is set according to the actual requirements, and the present embodiment is merely illustrative the survey
The function of amount unit.Wherein first measuring unit, the second measuring unit, the 3rd measuring unit are respectively directed to a kind of parameter class
Type is measured.Parameter type to be measured can be voltage parameter/range parameter：Amplitude, peak-to-peak value, maximum, minima, mistake
Punching, virtual value etc.；Time parameter：Rise time/fall time, period/frequency, pulse width, dutycycle, time difference, foundation
Time/retention time etc.；Count parameter：Rise/fall parameter type along counting, triggering frequency, statistical sample quantity etc. 51.
First measuring unit, the second measuring unit, the function of the 3rd measuring unit can carry out the choosing of parameter type according to demand
Select, and the measurement function that FPGA internal circuit configuration realizes different parameters is changed by software programming mode；Then according to institute
The original waveform data of the acquisition of data loading unit 110 and parameter type to be measured set in advance is stated, each described in parallel measurement
The measured value of parameters of parameter type to be measured.For example, first measuring unit is measured to peak-to-peak value, and second measurement is single
Unit is measured to maximum, and the 3rd measuring unit was measured to the rise time, by first measuring unit, the
Two measuring units, the feature of the 3rd measuring unit parallel processing, can obtain peak-to-peak value, maximum and three kinds of rise time simultaneously
The measured value of parameter type.It should be noted that including multiple computing units in the measuring unit, the computing unit can
Realize but be not limited to addition, subtraction, division, multiplication, evolution, index, logarithm, trigonometric function, square, the function such as differential, integration,
And parallel computation by the way of the streamline between each computing unit, that is to say, that the M time computing need not wait M-1
Computing again after the completion of secondary computing, can be while computing, and this is the advantage of FPGA parallel data processing, and then improves mathematical operation
Speed.Due to the parallel characteristics of hardware FPGA, other operations during computing on system will not produce impact, and then be not in be
The situation of system interim card.
Finally, measurement result output unit 112 connected with each measuring unit is by each measuring unit while obtain
The multiple measurement parameters output for obtaining, exports according to the measurement result output unit 112 so as to the waveform searching module 103
Measurement parameter carries out waveform searching.
The plurality of parallel type search unit 113 is connected with the measurement result output unit 112, one of class
Type search unit is scanned for based on a kind of search-type, and the number of the type search unit is set according to demand.Many
The measurement parameter that the measurement result output unit 112 of individual type search unit 113 pairs is exported carries out parallel search, wherein, searches
Rope type can be that edge, pulsewidth (positive pulsewidth and negative pulsewidth), rise time, fall time, cycle, frequency and deficient width etc. are abnormal
The search of type of waveform.By multiple 113 parallel searches of type search unit, all search-type for setting can be completed simultaneously
Search.The Search Results select unit 114 is obtained from type search unit each described according to selected search-type
Corresponding search-type number is selected in Search Results.Finally the Search Results of the Search Results buffer unit 115 pairs are selected
The search-type data that unit 114 is obtained carry out Circular buffer, wherein, in order to indicate abnormal signal just in screen
Position in whole screen waveform, Search Results should return coordinate figure of the target for meeting condition in waveform library, so passing through ring
Shape buffer enters row cache to the coordinate figure of the abnormal data of the selection type for searching.When the waveform display module 104 pairs
When the unusual waveforms for searching are shown, the coordinate figure of ring buffer storage need to be only called, and in the coordinate figure
Position be marked, when user select show certain type of unusual waveforms when, in oscillograph screen show waveform can
Mark position is quickly jumped to.
In the present embodiment, parameters measurement module 102 can carry out parameter measurement for all original waveform data, so as to
Under the storage depth of 512Mpts, calculated based on crude sampling rate, it is ensured that the accuracy of parameter measurement, and can support many
51 kinds of parameter measurement items are reached, realizes parameter measurement truly.By the parallel processing of multiple measuring units, parameter is realized
Quick measurement and statistics, it is ensured that the operation of real-time response user.Waveform searching module 103 being capable of the multiple exception class of parallel search
Type data, improve the speed of waveform searching, and the parameter based on parameters measurement module 102 for original waveform data is surveyed
Amount, also ensure that the accuracy of waveform searching.
Preferably, in another embodiment, referring to Fig. 4, a kind of oscillograph based on depth storage is disclosed, is also included：
Computing module 116, the computing module 116 respectively with the deep memory module 101 and parameters measurement module 102
Connection, can perform mathematical calculations to the original waveform data in the deep memory module 101, so as to the parameter measurement mould
Block 102 carries out parameter measurement；When can be understood as parameters measurement module 102 and carrying out some parameter measurements, it is impossible to directly to original
Wave data carries out parameter measurement, needs the computing module 116 just carry out correlation after processing to original waveform data
The measurement of parameter.
Wherein, the computing module 116 includes：Input interconnection matrix unit 117, multiple parallel sub- arithmetic elements 118
With output interconnection matrix unit 119；
The input quantity of the input interconnection matrix unit 118 is the crude sampling number of the deep memory module 101 storage
According to the intermediate calculation results with the sub- arithmetic element output, the input interconnection matrix unit 118 is by the deep memorizer mould
The original sampling data that block 101 is stored and the intermediate calculation results of the sub- arithmetic element output are exported to the sub- arithmetic element
Perform mathematical calculations；
Each sub- arithmetic element 118 is connected with the input interconnection matrix unit 117, is entered for the input quantity to receiving
Row mathematical operation；
Interconnected between the output interconnection matrix unit 119 and each sub- arithmetic element 118, for by the son
The final operation result of arithmetic element is exported, and the intermediate calculation results of the sub- arithmetic element is input to described defeated
Enter interconnection matrix unit 117, using the input quantity as the sub- arithmetic element.
It should be noted that the computing module 116 is performed mathematical calculations parallel, and each sub- arithmetic element 118 it
Between realize multistage any interconnection so that the fractionation number of times of mathematical operation tails off, so improve mathematical operation speed.And due to
The parallel characteristics of FPGA, other operations during computing on system will not produce impact, and then be not in the situation of system interim card.
Wherein, the input interconnection matrix unit 117 reads the original waveform data of the deep memory module 101, and
Using the original waveform data for obtaining as sub- arithmetic element input quantity, and the computing knot for obtaining the first sub- arithmetic element output
Really, and using the first arithmetic element the operation result for exporting is used as the input quantity of the second arithmetic element.When one of them sub- computing list
The operation result of unit's output as another sub- arithmetic element input quantity when, we define the former for the first sub- arithmetic element,
The latter is the second sub- arithmetic element, i.e., the first sub- arithmetic element and the second sub- arithmetic element be for defeated in a sub- arithmetic element
The operation result for going out as another sub- arithmetic element input quantity when title, same sub- arithmetic element, in different fortune
Can both be the first sub- arithmetic element, or the second sub- arithmetic element during calculation.
The output interconnection matrix unit 119 is using the operation result of the first sub- arithmetic element output as the second sub- computing list
The input quantity of unit, and the operation result of the 3rd sub- arithmetic element output is exported (y) as final computing, we define output
The arithmetic element that exports as final computing of operation result be the 3rd sub- arithmetic element, likewise, same sub- arithmetic element,
Can be the first sub- arithmetic element, the second sub- arithmetic element or the 3rd sub- arithmetic element in different calculating processes.The son
Arithmetic element includes but is not limited to adder unit, subtrator, divider, multiplication unit, evolution unit, index unit, right
Counting unit, trigonometric function unit, squaring cell, differentiation element, integral unit etc..
In addition, the sub- arithmetic element is performed mathematical calculations using pipeline processing mode.For convenience of understanding, it is assumed that FPGA
Operating structure completes a mathematical operation needs L system clock cycle T of time, M mathematical operation to be carried out.When adopting non-streaming
When water process mode enters row operation, the time is needed for M*L*T.When row operation is entered using pipeline processing mode, due to the M time
Computing need not wait computing again after the completion of the M-1 time computing, can be while computing, completes the time of M mathematical operation needs
For (M+L-1) * T.It can be seen that, the speed of mathematical operation can be improved using pipeline processing mode.
Herein, such as first and second or the like relational terms be used merely to by an entity or operation with another
One entity or operation make a distinction, and not necessarily require or imply between these entities or operation there is any this reality
Relation or order.And, term " including ", "comprising" or its any other variant are intended to the bag of nonexcludability
Contain, so that a series of process including key elements, method, article or equipment not only include those key elements, but also including
Other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment.
In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that including the key element
Process, method, also there is other identical element in article or equipment.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the present invention.
Multiple modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope for causing.
Claims (8)
1. a kind of oscillograph based on depth storage, it is characterised in that include：
Deep memory module, parameters measurement module, waveform searching module and waveform display module；
Wherein, the deep memory module includes multiple quantum memory modules, for the original waveform that parallel memorizing sampling is obtained
Data；
The parameters measurement module is connected with the deep memory module, and the parameters measurement module includes multiple based on many seed ginsengs
The measuring unit of number parallel processing, for the whole sampled data parallel processings to the deep memory module storage, with simultaneously
Obtain many kinds of parameters measurement result；
The waveform searching module is connected with the parameters measurement module, and the waveform searching module includes multiple parallel types
Search unit, the measurement parameter for obtaining to the parameters measurement module carries out the search of polytype parameter simultaneously；Wherein,
The type search unit is scanned for based on a kind of search-type；
The waveform display module is respectively with the deep memory module, the parameters measurement module and waveform searching module even
Connect, for the Wave data arrived by the original waveform data of the deep memory module storage, the waveform searching block search
Shown with the supplemental characteristic of parameters measurement module measurement.
2. oscillograph according to claim 1, it is characterised in that the quantum memory module, including：
Memory element, primary scene programmable logic array FPGA unit；
Wherein, the memory element is made up of parallel multiple dynamic memories, is carried out with first FPGA unit by bus
Data transfer；The original sampling data of input is transferred to the memory element and is stored by first FPGA unit.
3. oscillograph according to claim 2, it is characterised in that the deep memory module, including：
First quantum memory module, the second quantum memory module, the 3rd quantum memory module, the 4th quantum memory module and second
FPGA unit；
Wherein, the input of the input of the first quantum memory module and the 3rd quantum memory module receives original adopting
Sample data；
The first quantum memory module and the connection of the second quantum memory module-cascade, the original waveform data is by described first
The second quantum memory module is arrived in the output of quantum memory module；The 3rd quantum memory module and the 4th quantum memory module
Cascade Connection is carried out, the original waveform data is exported to the 4th quantum memory mould by the 3rd quantum memory module
Block；The outfan of the second sub- memory module and the 4th sub-module stored is connected with second FPGA unit, described
Second FPGA unit is used for controlling the data output of each quantum memory module stores.
4. oscillograph according to claim 1, it is characterised in that the parameters measurement module, including：
Data loading unit and measurement result output unit；
Wherein, the data loading unit is connected with the deep memory module and each measuring unit respectively, for reading
The original waveform data of the deep memory module, and the original waveform data for reading is transported in each measuring unit
Carry out parallel measurement；
The measurement result output unit is connected with each measuring unit respectively, for by each measuring unit while obtaining
Multiple measurement parameters output.
5. oscillograph according to claim 1, it is characterised in that the waveform searching module, including：
Search Results select unit and Search Results buffer unit；
Wherein, the Search Results select unit is connected with the plurality of parallel type search unit respectively, is set for basis
Fixed search-type selects corresponding search-type data from the Search Results of each type search unit for obtaining；
The search-type data that the Search Results buffer unit is obtained to the Search Results select unit carry out Circular buffer.
6. oscillograph according to claim 1, it is characterised in that also include：
Computing module；
Wherein, the computing module shows mould with the deep memory module, the parameters measurement module and the waveform respectively
Block connects, and for performing mathematical calculations to the original sampling data of the deep memory module storage, and operation result is exported
Parameter measurement is carried out to the parameters measurement module or is conveyed to the waveform display module being shown.
7. oscillograph according to claim 6, it is characterised in that the computing module, including：
Input interconnection matrix unit, many sub- arithmetic elements and output interconnection matrix unit；
Wherein, the input quantity of the input interconnection matrix unit is original sampling data and the institute of the deep memory module storage
The intermediate calculation results of sub- arithmetic element output are stated, the original that the deep memory module is stored by the input interconnection matrix unit
The intermediate calculation results of beginning sampled data and the sub- arithmetic element output are exported and are performed mathematical calculations to the sub- arithmetic element；
Each sub- arithmetic element is connected with the input interconnection matrix unit, carries out mathematics fortune for the input quantity to receiving
Calculate；
Interconnected between the output interconnection matrix unit and each sub- arithmetic element, for by the sub- arithmetic element
Final operation result is exported, and the intermediate calculation results of the sub- arithmetic element are input to the input interconnection matrix
Unit, using the input quantity as the sub- arithmetic element.
8. oscillograph according to claim 6, it is characterised in that
The parameters measurement module, the waveform searching module and the computing module all carry out data using pipeline system
Process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610851335.3A CN106443115B (en) | 2016-09-26 | 2016-09-26 | Depth-based oscilloscope with storage function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610851335.3A CN106443115B (en) | 2016-09-26 | 2016-09-26 | Depth-based oscilloscope with storage function |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106443115A true CN106443115A (en) | 2017-02-22 |
| CN106443115B CN106443115B (en) | 2023-12-29 |
Family
ID=58170098
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610851335.3A Active CN106443115B (en) | 2016-09-26 | 2016-09-26 | Depth-based oscilloscope with storage function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106443115B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107478884A (en) * | 2017-04-28 | 2017-12-15 | 深圳市鼎阳科技有限公司 | A kind of method and oscillograph of quick display waveform search result |
| WO2019134685A1 (en) * | 2018-01-05 | 2019-07-11 | 深圳市道通科技股份有限公司 | Oscilloscope data processing method and device, and oscilloscope |
| CN112199010A (en) * | 2020-12-03 | 2021-01-08 | 深圳市鼎阳科技股份有限公司 | Full storage depth measuring method, digital oscilloscope and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101035390A (en) * | 2007-02-13 | 2007-09-12 | 上海交通大学 | Parallel channel scheduler in the optical burst switching |
| CN101762732A (en) * | 2009-11-10 | 2010-06-30 | 北京普源精电科技有限公司 | Oscilloscope with automatic measurement function and measurement data storage method thereof |
| CN102866865A (en) * | 2012-09-07 | 2013-01-09 | 北京时代民芯科技有限公司 | Multi-version code stream storage circuit architecture for configuration memory dedicated for FPGA (Field Programmable Gate Array) |
| CN103018515A (en) * | 2012-12-12 | 2013-04-03 | 电子科技大学 | Digital oscilloscope with seamless measuring capability |
| CN103310838A (en) * | 2012-03-14 | 2013-09-18 | 瑞萨电子株式会社 | Content addressable memory system |
| CN103325426A (en) * | 2013-05-09 | 2013-09-25 | 电子科技大学 | Seamless acquisition method based on DDR2SDRAM array segmented storage |
| CN105044420A (en) * | 2015-08-27 | 2015-11-11 | 电子科技大学 | Waveform searching method of digital oscilloscope |
| CN105892988A (en) * | 2016-04-26 | 2016-08-24 | 广州致远电子股份有限公司 | Operation circuit based on FPGA (Field Programmable Gate Array), oscilloscope and measuring instrument |
| CN206460088U (en) * | 2016-09-26 | 2017-09-01 | 广州致远电子股份有限公司 | A kind of oscillograph stored based on depth |
-
2016
- 2016-09-26 CN CN201610851335.3A patent/CN106443115B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101035390A (en) * | 2007-02-13 | 2007-09-12 | 上海交通大学 | Parallel channel scheduler in the optical burst switching |
| CN101762732A (en) * | 2009-11-10 | 2010-06-30 | 北京普源精电科技有限公司 | Oscilloscope with automatic measurement function and measurement data storage method thereof |
| CN103310838A (en) * | 2012-03-14 | 2013-09-18 | 瑞萨电子株式会社 | Content addressable memory system |
| CN102866865A (en) * | 2012-09-07 | 2013-01-09 | 北京时代民芯科技有限公司 | Multi-version code stream storage circuit architecture for configuration memory dedicated for FPGA (Field Programmable Gate Array) |
| CN103018515A (en) * | 2012-12-12 | 2013-04-03 | 电子科技大学 | Digital oscilloscope with seamless measuring capability |
| CN103325426A (en) * | 2013-05-09 | 2013-09-25 | 电子科技大学 | Seamless acquisition method based on DDR2SDRAM array segmented storage |
| CN105044420A (en) * | 2015-08-27 | 2015-11-11 | 电子科技大学 | Waveform searching method of digital oscilloscope |
| CN105892988A (en) * | 2016-04-26 | 2016-08-24 | 广州致远电子股份有限公司 | Operation circuit based on FPGA (Field Programmable Gate Array), oscilloscope and measuring instrument |
| CN206460088U (en) * | 2016-09-26 | 2017-09-01 | 广州致远电子股份有限公司 | A kind of oscillograph stored based on depth |
Non-Patent Citations (1)
| Title |
|---|
| 刘芳主编: "《网络流量监测与控制》", vol. 1, 北京邮电大学出版社, pages: 141 - 144 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107478884A (en) * | 2017-04-28 | 2017-12-15 | 深圳市鼎阳科技有限公司 | A kind of method and oscillograph of quick display waveform search result |
| CN107478884B (en) * | 2017-04-28 | 2019-08-13 | 深圳市鼎阳科技有限公司 | A kind of method and oscillograph of quick display waveform search result |
| WO2019134685A1 (en) * | 2018-01-05 | 2019-07-11 | 深圳市道通科技股份有限公司 | Oscilloscope data processing method and device, and oscilloscope |
| CN112199010A (en) * | 2020-12-03 | 2021-01-08 | 深圳市鼎阳科技股份有限公司 | Full storage depth measuring method, digital oscilloscope and storage medium |
| CN112199010B (en) * | 2020-12-03 | 2021-03-30 | 深圳市鼎阳科技股份有限公司 | Full storage depth measuring method, digital oscilloscope and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106443115B (en) | 2023-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100529766C (en) | Equivalent sampling device | |
| CN106443115A (en) | Depth storage based oscilloscope | |
| CN102788891B (en) | Complex waveform sequence generator | |
| CN104077492B (en) | A kind of sampled data interpolating method based on FPGA | |
| US8055464B2 (en) | Method of processing waveform data from one or more channels using a test and measurement instrument | |
| CN105676198A (en) | Echo pulse delay generating device for pulse type radar test | |
| CN103604964A (en) | Method for improving digital channel waveform capture rate of mixed oscilloscope | |
| CN103364770B (en) | Radar target detecting system based on matrix filling and detecting method thereof | |
| CN102539864B (en) | Digital oscilloscope and signal measurement method | |
| CN206460088U (en) | A kind of oscillograph stored based on depth | |
| CN102788892A (en) | Digital oscilloscope with accurate triggering function | |
| CN102109542A (en) | Digital oscilloscope capable of configuring multiplex digital interpolating and digital filtering functions | |
| CN107300632A (en) | A kind of digital information processing system of fluorescence oscillograph | |
| CN106502580B (en) | A kind of depth memory and measuring instrument | |
| CN105517018B (en) | A kind of method and device obtaining location information | |
| CN105426918A (en) | Efficient realization method for normalized correlation image template matching | |
| CN102436365B (en) | Method and device for transforming high-speed linear spectrum data to logarithm data | |
| CN105259795A (en) | Internal impedance parameter expansion method for power battery simulator | |
| CN108089839A (en) | A kind of method that computing cross-correlation is realized based on FPGA | |
| CN105892988B (en) | A kind of computing circuit based on FPGA, oscillograph and measuring instrument | |
| CN103630721A (en) | Method for improving mixed oscillograph digital channel waveform capture rate | |
| CN104459259A (en) | Improved type waveform interpolating system for oscilloscope | |
| CN201622352U (en) | Alpha radiation nucleus signal simulator | |
| CN103176013B (en) | A kind of oscillograph and its implementation that can customize measurement range | |
| CN103969484B (en) | High refresh rate waveform synthesizer and high refresh rate oscillograph |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |