CN106325767A - Asynchronous data storage method based on time parameter fitting processing - Google Patents
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- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
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Abstract
The invention discloses an asynchronous data storage method based on time parameter fitting processing. The method comprises the steps of firstly presetting target initial data into an asynchronous storage unit; obtaining target data and storing the target data into the asynchronous storage unit; determining the amount of collection moment points according to a current FPGA; then performing data collection on the target data according to the collection moment points to obtain a collection moment point confirmation set; sequentially comparing data in the collection moment point confirmation set with initial data preset in the asynchronous storage unit to obtain an effective weight coefficient of each collection moment point; finally choosing and obtaining an adaptive collection moment point according to the effective weight coefficients, controlling an external control algorithm processing module to collect and process the data and finishing processed data storage. According to the method, the problem that the data collection output response time is prone to changing along with external environment when the asynchronous storage unit is used to interact data with other functional modules in the prior art is solved, and a high-speed, stable and reliable read access method is provided for the data in the asynchronous storage unit.
Description
Technical field
The present invention relates to field of data storage, a kind of asynchronous data storage side based on time parameter process of fitting treatment
Method.
Background technology
Along with development, the appearance of various advanced material of processing technology, the function of super large-scale integration is more come
The most powerful, particularly field programmable gate (Filed Programmable Gate Array, FPGA) relies on it convenient fast
Prompt repeatable programming development characteristic and abundant configurable interface resource, be increasingly becoming control, communicate, the field such as detection
Core component.
In space industry, miniaturization has had become as the major trend of satellite development, and it requires that electronic component used must
Must have the feature that integrated level is high, size is little, this allows for field programmable gate array (FPGA) becomes star electronics unit device
The main selection of part.At present, the important component part in satellite control system, the drive control component of each actuator is the most general
Process all over using FPGA to realize control algolithm.
The drive control component of actuator realizes corresponding control algolithm by FPGA and processes, and such as establishes whole star appearance
State, track location information, need in control algolithm processing procedure to use the initial datas such as original star chart, benchmark data as comparison
Foundation, this substantial amounts of data message of storage of will seeking survival, but during realizing, there is following application problem need to solve:
(1) use external memory storage to realize the storage of the data messages such as original star chart, benchmark data, however it is necessary that as storage
Device chip increases printed board area, this results in the problem that satellite volume increases, and additionally external memory storage is generally asynchronous storage
Mode, needs the most stable interface to process accurate with during use of sequential guarantee data storage, and this just brings operation
Time loss in speed；
(2) employing realizes the storage of the data messages such as original star chart, benchmark data based on SRAM type FPGA internal storage,
Internal RAM resource or FIFO resource can be selected to realize, but SRAM type FPGA is sensitive to single particle effect, easily causes data and turns over
Turn mistake, it is necessary to coordinate effective Reliability Measures, could use, which increase the complexity that system realizes, reduce system
Reliability；
(3) use and realize depositing of the data messages such as original star chart, benchmark data based on anti-fuse type FPGA internal storage
Storage is limited to the part category that China can purchase, it is impossible to realize reliably depositing of mass data in inside by sequential resource
Storage, the essence of the data that the uncontrollable problem of data access sequential i.e. using asynchronous storage resource to realize data storage existence is brought
Degree and efficiency will reduce.
Summary of the invention
Present invention solves the technical problem that and be: overcome the deficiencies in the prior art, it is provided that be a kind of by gathering the data moment
The early stage matching of point, collects and arranges the matching information of each moment point and determine the joining based on the time of matching moment obtaining optimum
The asynchronous data storage method of number process of fitting treatment, solves prior art and uses asynchronous memory element to carry out with other functional modules
During data interaction, data acquisition output response time is easily with the problem of external environment condition change.
The technical solution of the present invention is: a kind of asynchronous data based on time parameter process of fitting treatment storage method, bag
Include following steps:
Step 1, initial data corresponding for M target is preset in the asynchronous memory element of FPGA respectively, wherein, original
Data are not the most constant data, and wherein, M is positive integer；
Step 2, obtain target data corresponding to multiple targets from outside and store to the fixing address of asynchronous memory element
In space, wherein, the part or all of initial data that target data is preset in including asynchronous memory element current goal is corresponding
Multiple data, the target data of target 1 is designated as target data 1, and the target data of target 2 is designated as target data 2 ..., target M
Target data be designated as target data M, wherein, M is positive integer；
Step 3, obtain from outside and gather moment point quantity N, if current FPGA supports process of frequency multiplication, then at sampler
The rising edge of frequency doubling clock chooses N number of collection moment point, or in the rising edge of sampler frequency doubling clock, trailing edge combination choosing
Take N number of collection moment point；
If current FPGA does not support process of frequency multiplication, then rising edge, trailing edge at sampler frequency doubling clock become
To combination choose collection moment point, in the middle of rising edge, trailing edge, choose collection moment point, until choosing N number of adopting simultaneously
Collection moment point, wherein, N is positive integer；
Step 4, to target data 1 gather moment point 1 carry out data acquisition, obtain data message 1_1 and be stored in target
Data 1 data acquisition moment point confirms in set, carries out data acquisition gathering moment point 2, obtains data message 1_2 and be stored in
Target data 1 data acquisition moment point confirms in set ..., target data 1 is carried out data acquisition in collection moment point N,
To data message 1_N and be stored in target data 1 data acquisition moment point confirm set in, to target data 2 gather moment point 1
Carry out data acquisition, obtain data message 2_1 and be stored in the confirmation set of target data 2 data acquisition moment point, when gathering
Punctum 2 carries out data acquisition, obtains data message 2_2 and is stored in the confirmation set of target data 2 data acquisition moment point ...,
Carry out data acquisition gathering moment point N, obtain data message 2_N and be stored in the confirmation set of target data 2 data acquisition moment point
In ..., target data M is carried out data acquisition in collection moment point 1, obtains data message M_1 and be stored in target data M data
Gather moment point and confirm in set, carry out data acquisition gathering moment point 2, obtain data message M_2 and be stored in target data M
Data acquisition moment point confirms in set ..., carry out data acquisition gathering moment point N, obtain data message M_N and be stored in mesh
Mark data M data gathers moment point and confirms in set；
Step 5, confirm set to gather data corresponding to moment point i with asynchronous by target data 1 data acquisition moment point
The initial data of collection moment point i of target 1 correspondence that memory element is preset contrasts, if both are identical, then when gathering
Effective weight coefficient TIMEi_VAULE of punctum i adds 1, otherwise, not to the effective weight coefficient TIMEi_ gathering moment point i
VAULE operates, and travels through all of collection moment point i；When confirming set gathers by target data 2 data acquisition moment point
The initial data of collection moment point i that data corresponding for the punctum i target 2 preset with asynchronous memory element is corresponding contrasts,
If both are identical, then the effective weight coefficient TIMEi_VAULE gathering moment point i adds 1, otherwise, not to gathering moment point i
Effectively weight coefficient TIMEi_VAULE operates, and travels through all of collection moment point i；... when target data M data is gathered
Punctum confirms to gather collection moment point i that data corresponding to moment point i target M preset with asynchronous memory element is corresponding in set
Initial data contrast, if both are identical, then gather moment point i effective weight coefficient TIMEi_VAULE add 1, no
Then, the effective weight coefficient TIMEi_VAULE gathering moment point i is not operated, travel through all of collection moment point i, its
In, i=1,2,3 ... N；
Step 6, the collection moment point that effectively weight coefficient is corresponding by front P is delivered to external control algorithm processing module, is made
External control algorithm processing module carries out data according to the collection moment point obtained from the initial data that asynchronous memory element is preset
Gather, be then controlled algorithm process according to the data collected, and control algolithm result is delivered to asynchronous storage
Unit stores, wherein, and P ＜ N and be positive integer.
Described N is 10 when current FPGA supports process of frequency multiplication, and N is 3 when current FPGA does not support process of frequency multiplication.
Described step (3) is acquired as by IDELAY Postponement module or logic in the middle of rising edge, trailing edge
Gate delays module realizes.
Described data acquisition moment point confirms that set only storage part can gather the collection data that moment point is corresponding.
Described initial data includes that true form value, unit storage star chart or clearing mark fixed-point data are preset in asynchronous storage.
Described P value when N is 10 is 3, and P value when N is 3 is 1.
Described step 1-step 6 realizes in anti-fuse type FPGA.
Described control algolithm processing module is star chart comparing module or drive control module.
Present invention advantage compared with prior art is:
(1) present invention stores method by one group of orderly target data, it is achieved that the early stage gathering data moment point is intended
Closing, then the matching information by collecting and arrange each moment point determines the collection moment point obtaining optimum, solves existing
When technology uses asynchronous memory element and other functional modules to carry out data interaction, data acquisition output response time is easily with outside
The problem of environmental change, provides high speed, stable, reliable read access method for asynchronous memory cell data；
(2) present invention stores method compared with prior art, it is possible to fully, reasonably make use of FPGA, particularly satellite
Control system commonly uses the internal resource of anti-fuse type FPGA, by script in each for satellite control system actuator drive control component
Need to use the data message of 3 FPGA sequential resource storages, complete data by the asynchronous memory element of 1 FPGA and deposit
Storage, significantly reduces the complexity of function system, lead time and appropriation budget, can preferably be applicable to sequential resource-constrained
And need to store the applied environment of mass data.
Accompanying drawing explanation
Fig. 1 is that a kind of asynchronous data based on time parameter process of fitting treatment of the present invention stores Method And Principle schematic diagram；
Fig. 2 is that a kind of asynchronous data based on time parameter process of fitting treatment of the present invention stores Method And Principle flow chart.
Detailed description of the invention
A kind of asynchronous data based on time parameter process of fitting treatment of present invention storage Method And Principle schematic diagram as shown in Figure 1,
The inventive method proposes data based on time parameter between control algolithm processing module and asynchronous memory element and intends
Closing processing module, this module is by one group of orderly target data of outside input, it is achieved that the early stage gathering data moment point is intended
Close, then by collecting and arrange the matching information of each moment point, determine the collection moment point obtaining optimum.Join based on the time
Optimum is gathered moment point and exports to control algolithm processing module by the data process of fitting treatment module of number, and control algolithm processing module exists
In running, asynchronous memory element will be accessed by the optimum moment point that gathers.The inventive method compared with prior art, solves
During the asynchronous storage unit stores data of use, during because carrying out data interaction with other clock zone functional modules, asynchronous storage
The inventive method, easily with the problem of external environment condition change, is carried out in detail by the response time of cell data output below in conjunction with the accompanying drawings
Illustrating, the inventive method comprises the steps: as shown in Figure 2
Step 1, before control algolithm processing module life's work runs, arranges control algolithm and processes asynchronous memory unit access
Prohibitory sign, the one asynchronous storage preset in true form value, unit storage star chart or clearing mark fixed-point data is preset at
In asynchronous memory element in FPGA, wherein, preset true form value, the unit storage data such as star chart, clearing mark fixed point are not the most permanent
Given data, presetting true form value is to include forward limit, the function data of negative sense limit, then at data matching based on time parameter
Reason module sends enabled instruction, when data process of fitting treatment module based on time parameter receives enabled instruction, proceeds to step
2。
Step 2, data process of fitting treatment module based on time parameter is from one group of orderly target data of external reception, this group
Orderly target data is determined by user, including multiple target datas, should have certain Typical Representative meaning, i.e. include different
The most default true form value, the part or all of unit preset in step memory element store star chart, partly or entirely navigate
The multiple data of data of calibration point, or asynchronous memory element is preset partly or entirely preset true form value, partly or entirely
Unit storage star chart, part or all of clearing mark fixed-point data, store the address fixed to asynchronous memory element by target data
In space.
Step 3, arranges the collection moment point quantity realizing data process of fitting treatment, gather moment point quantity can Configuration Online,
If current FPGA supports process of frequency multiplication, then collection moment point quantity is set to N, and (N is the integer more than 0, the most permissible
It is set to 10), if current FPGA does not support process of frequency multiplication, then be set to N by gathering moment point quantity (N is whole more than 0
Number, typically could be arranged to 3)；
When using overtone mode to realize data acquisition, used according to collection moment point quantity, the collection of above-mentioned configuration
Device dominant frequency, arranges and gathers institute's Usage data collection device at the frequency parameter gathering moment point, it is ensured that used device is again
Frequently the rising edge of clock can choose the collection moment point quantity of correspondence, or the combination of the rising edge of frequency doubling clock, trailing edge
Choose the collection moment point quantity of correspondence；
When not supporting that frequency multiplication realizes data acquisition, institute's Usage data collection device clock rising edge, trailing edge is utilized to enter
The paired combination of row is chosen, provide IDELAY Postponement module simultaneously or logic gate delays module realize rising edge, under
Fall is chosen along middle collection moment point.
Step 4, starts the process of fitting treatment of each collection moment point data of target data, and concrete operations are as follows:
Step a, it is achieved the data acquisition of the collection moment point that target data 1 is arranged in step 3；
Realize target data 1 and gathering the data acquisition at moment point 1, data message 1_1 is stored in the data acquisition moment
Point confirms in set；Realize target data 1 and gathering the data acquisition at moment point 2, data message 1_2 is stored in data acquisition
Moment point confirms in set；By that analogy, it is achieved target data 1 is gathering the data acquisition at moment point N, by data message 1_
N is stored in data acquisition moment point and confirms in set；
Step b, it is achieved target data 2 arranges the data acquisition gathering moment point in step 3；
Realize target data 2 and gathering the data acquisition at moment point 1, data message 2_1 is stored in the data acquisition moment
Point confirms in set；Realize target data 2 and gathering the data acquisition at moment point 2, data message 2_2 is stored in data acquisition
Moment point confirms in set；By that analogy, it is achieved target data 2 is gathering the data acquisition at moment point N, by data message 2_
N is stored in data acquisition moment point and confirms in set；
Step c, described by step a and b, it is achieved target data M arranges the data acquisition gathering moment point in step 3
Collection；
Realize target data M and gathering the data acquisition at moment point 1, data message M_1 is stored in the data acquisition moment
Point confirms in set；Realize target data M and gathering the data acquisition at moment point 2, data message M_2 is stored in data acquisition
Moment point confirms in set；By that analogy, it is achieved target data M is gathering the data acquisition at moment point N, by data message M_
N is stored in data acquisition moment point and confirms in set, wherein, all corresponding target data of each target, the number of target data
Can be different from the quantity gathering moment point, M, N are positive integer；
Step d, if storage resource-constrained, can only will at first, finally, middle or certain several continuous print collection moment
Point (typically take step a, step b, step c obtains the first three columns of data matrix, centre three arranges or rear three row) data message note
Logging data gathers moment point and confirms in set.
Step 5, it is achieved the data acquisition moment point that obtains in step 4 confirms reviewing of data and target data in set
With comparison, concrete operations are as follows:
Step a, it is achieved effective weight coefficient of data acquisition moment point 1；
Confirm data acquisition moment point collective data is gathering all data that moment point 1 records successively with asynchronous
Memory element is preset true form value, unit storage star chart or clearing mark fixed point and is compared, if data acquisition moment point confirms
Data in set are identical with asynchronous memory element preset data, then add 1, otherwise by the effective weight coefficient gathering moment point 1
Abandoning data acquisition moment point and confirm current data in collective data, then comparison gathers the next data of moment point 1 record,
Until having processed gathering all data that in moment point set, collection moment point 1 records, obtaining gathering moment point 1 and effectively weighing
Weight values, and it is labeled as TIME1_VAULE；
Step b, it is achieved effective weight coefficient of data acquisition moment point 2；
Confirm data acquisition moment point collective data is gathering all data that moment point 2 records successively with asynchronous
Memory element is preset true form value, unit storage star chart or clearing mark fixed point and is compared, if data acquisition moment point confirms
Data in set are identical with asynchronous memory element preset data, then add 1, otherwise by the effective weight coefficient gathering moment point 2
Abandoning data acquisition moment point and confirm current data in collective data, then comparison gathers the next data of moment point 2 record,
Until having processed gathering all data that in moment point set, collection moment point 2 records, obtaining gathering moment point 2 and effectively weighing
Weight values, and it is labeled as TIME2_VAULE；
Step c, described by step a and b, it is achieved gather effective weight coefficient of moment point N；
Confirm data acquisition moment point collective data is gathering all data that moment point N records successively with asynchronous
Memory element is preset true form value, unit storage star chart or clearing mark fixed point and is compared, if data acquisition moment point confirms
Data in set are identical with asynchronous memory element preset data, then add 1, otherwise by the effective weight coefficient gathering moment point N
Abandoning data acquisition moment point and confirm current data in collective data, then comparison gathers the next data of moment point N record,
Until having processed gathering all data gathering moment point N record in moment point set, obtaining gathering moment point N and effectively weighing
Weight values, and it is labeled as TIMEN_VAULE.
Step 6, arranges effective weighted value of all collection moment point, processes according to majority principle, finally obtains optimum
Gathering moment point, general acquiescence exports the highest P of effective weight coefficient, and (P is less than the positive integer gathering moment point quantity N, works as N
When being 10, P is generally 3, and when N is 3, P is generally 1) individual collection moment point, wherein, step 2-step 6 is joined based on the time
The work process of the data process of fitting treatment module of number, this module can realize in anti-fuse type FPGA.
Step 7, delivers to the control algolithm processing module of outside by the optimum moment point that gathers produced in step 6, and will be
Excellent collection moment point configures the read access module in asynchronous memory element, arranges control algolithm simultaneously and processes asynchronous storage list
Unit accesses and allows mark, starts the subsequent treatment of control algolithm.Wherein, control algolithm processing module can be star chart comparison mould
Block, after star chart comparing module receives P optimum collection moment point, starts control algolithm and processes, first receive current reality
Star chart data, then obtain default background threshold from asynchronous memory element according to P the optimum moment point that gathers, use coordinate star
The currently practical star chart data subtracting background threshold value of point, obtains the grey scale pixel value of coordinate punctate opacity of the cornea；The most again by depositing from asynchronous
Reading out default isolated point coordinate information in storage unit, the rejecting completing coordinate punctate opacity of the cornea processes, and obtains useful coordinate punctate opacity of the cornea
Information；It is recorded in asynchronous memory element.Control algolithm processing module can also control output module for drive control component, drives
After dynamic control component controls output module receives P optimum collection moment point, start control algolithm and process, according to digital servo-control
Calculate phase-accumulated of ring module and, and combine P optimum collection moment point, from asynchronous memory element, obtain default sine
The true form value of wave simulation device data, it is achieved the driving to actuator exports control.
Step 8, control algolithm processing module gathers moment point according to optimum and carries out data acquisition from asynchronous memory element, so
Rear control algolithm processing module completes current algorithm and processes task, and the data result after finally being processed delivers to asynchronous storage
Unit stores.
Step 9, in control algolithm processing procedure, if necessary, can return step 1 in running, restart
One secondary data process of fitting treatment process, with reply internal asynchronous memory cell data output response time easily with external environment condition change
The problems such as change.
The content not being described in detail in description of the invention belongs to the known technology of those skilled in the art.
Claims (8)
1. asynchronous data based on a time parameter process of fitting treatment storage method, it is characterised in that comprise the steps:
Step 1, initial data corresponding for M target is preset in the asynchronous memory element of FPGA respectively, wherein, initial data
Not being the most constant data, wherein, M is positive integer；
Step 2, obtain target data corresponding to multiple targets from outside and store to the fixing address space of asynchronous memory element
In, wherein, target data include the part or all of initial data that current goal preset in asynchronous memory element is corresponding times
Number data, the target data of target 1 is designated as target data 1, and the target data of target 2 is designated as target data 2 ..., the mesh of target M
Mark data are designated as target data M, and wherein, M is positive integer；
Step 3, obtain from outside and gather moment point quantity N, if current FPGA supports process of frequency multiplication, then in sampler frequency multiplication
The rising edge of clock chooses N number of collection moment point, or chooses N in rising edge, the trailing edge combination of sampler frequency doubling clock
Individual collection moment point；
If current FPGA does not support process of frequency multiplication, then rising edge, trailing edge at sampler frequency doubling clock carry out paired
Collection moment point is chosen in combination, chooses collection moment point in the middle of rising edge, trailing edge simultaneously, during until choosing N number of collection
Punctum, wherein, N is positive integer；
Step 4, to target data 1 gather moment point 1 carry out data acquisition, obtain data message 1_1 and be stored in target data 1
Data acquisition moment point confirms in set, carries out data acquisition gathering moment point 2, obtains data message 1_2 and be stored in target
Data 1 data acquisition moment point confirms in set ..., target data 1 is carried out data acquisition in collection moment point N, is counted
It is believed that breath 1_N and be stored in the confirmation set of target data 1 data acquisition moment point, target data 2 is carried out in collection moment point 1
Data acquisition, obtains data message 2_1 and is stored in the confirmation set of target data 2 data acquisition moment point, gathering moment point 2
Carry out data acquisition, obtain data message 2_2 and be stored in the confirmation set of target data 2 data acquisition moment point ..., gathering
Moment point N carries out data acquisition, obtains data message 2_N and is stored in the confirmation set of target data 2 data acquisition moment point ...,
Target data M is carried out data acquisition in collection moment point 1, when obtaining data message M_1 and be stored in the collection of target data M data
Punctum confirms in set, carries out data acquisition gathering moment point 2, obtains data message M_2 and be stored in target data M data and adopt
Collection moment point confirms in set ..., carry out data acquisition gathering moment point N, obtain data message M_N and be stored in target data
M data gathers moment point and confirms in set；
Step 5, target data 1 data acquisition moment point is confirmed to gather in set data corresponding to moment point i and asynchronous storage
The initial data of collection moment point i of target 1 correspondence that unit is preset contrasts, if both are identical, then gathers moment point i
Effective weight coefficient TIMEi_VAULE add 1, otherwise, not to gather moment point i effective weight coefficient TIMEi_VAULE enter
Row operation, travels through all of collection moment point i；Target data 2 data acquisition moment point confirms to gather in set moment point i pair
The initial data of collection moment point i that the data the answered target 2 preset with asynchronous memory element is corresponding contrasts, if both
Identical, then the effective weight coefficient TIMEi_VAULE gathering moment point i adds 1, otherwise, not to the effective weight gathering moment point i
Coefficient T IMEi_VAULE operates, and travels through all of collection moment point i；... target data M data is gathered moment point and confirms
Set gathers the original number of collection moment point i corresponding to data corresponding to moment point i target M preset with asynchronous memory element
According to contrasting, if both are identical, then the effective weight coefficient TIMEi_VAULE gathering moment point i adds 1, otherwise, not to adopting
Effective weight coefficient TIMEi_VAULE of collection moment point i operates, and travels through all of collection moment point i, wherein, i=1, and 2,
3…N；
Step 6, the collection moment point that effectively weight coefficient is corresponding by front P delivers to external control algorithm processing module, order outside
Control algolithm processing module carries out data acquisition according to the collection moment point obtained from the initial data that asynchronous memory element is preset,
Then it is controlled algorithm process according to the data that collect, and control algolithm result is delivered to asynchronous memory element deposits
Storage, wherein, P ＜ N and be positive integer.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 storage method, its feature exists
In: described N is 10 when current FPGA supports process of frequency multiplication, and N is 3 when current FPGA does not support process of frequency multiplication.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 and 2 storage method, its feature
It is: described step (3) is acquired in the middle of rising edge, trailing edge into by IDELAY Postponement module or gate electricity
Road Postponement module realizes.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 and 2 storage method, its feature
It is: described data acquisition moment point confirms that set only storage part can gather the collection data that moment point is corresponding.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 and 2 storage method, its feature
It is: described initial data includes that true form value, unit storage star chart or clearing mark fixed-point data are preset in asynchronous storage.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 2 storage method, its feature exists
In: described P value when N is 10 is 3, and P value when N is 3 is 1.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 and 2 storage method, its feature
It is: described step 1-step 6 realizes in anti-fuse type FPGA.
A kind of asynchronous data based on time parameter process of fitting treatment the most according to claim 1 storage method, its feature exists
In: described control algolithm processing module is star chart comparing module or drive control module.
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