CN106325767B - A kind of asynchronous data storage method based on time parameter process of fitting treatment - Google Patents
A kind of asynchronous data storage method based on time parameter process of fitting treatment Download PDFInfo
- Publication number
- CN106325767B CN106325767B CN201610677216.0A CN201610677216A CN106325767B CN 106325767 B CN106325767 B CN 106325767B CN 201610677216 A CN201610677216 A CN 201610677216A CN 106325767 B CN106325767 B CN 106325767B
- Authority
- CN
- China
- Prior art keywords
- data
- moment point
- acquisition
- acquisition moment
- target
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0614—Improving the reliability of storage systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0655—Vertical data movement, i.e. input-output transfer; data movement between one or more hosts and one or more storage devices
- G06F3/0658—Controller construction arrangements
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Logic Circuits (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A kind of asynchronous data storage method based on time parameter process of fitting treatment, it first will be in the preset asynchronous storage unit of target initial data, it stores after obtaining target data into asynchronous storage unit, and acquisition moment point quantity is determined according to current FPGA, then data acquisition is carried out according to acquisition moment point to target data, obtain acquisition moment point confirmation set, it will acquire in moment point confirmation set that successively the initial data preset with asynchronous storage unit compares data, obtain effective weight coefficient of each acquisition moment point, the acquisition moment point adapted to is finally chosen according to effective weight coefficient, it controls external control algolithm processing module and carries out data acquisition, processing, complete processing data storage.When the present invention solves the prior art using asynchronous storage unit and the progress data interaction of other function module, data acquisitions the problem of easily changing with external environment output response time, for asynchronous memory cell data provide at a high speed, stable, reliable read access method.
Description
Technical field
The present invention relates to field of data storage, especially a kind of asynchronous data storage side based on time parameter process of fitting treatment
Method.
Background technique
With the continuous development of manufacture craft, the appearance of various advanced materials, the function of super large-scale integration is more next
More powerful, especially field programmable gate (Filed Programmable Gate Array, FPGA) facilitates fast by it
Prompt repeatable programming development characteristic and abundant configurable interface resource, has been increasingly becoming the fields such as control, communication, detection
Core component.
In space industry, miniaturization has become the main trend of satellite development, it requires electronic component used must
Must have the characteristics that integrated level is high, size is small, this, which allows for field programmable gate array (FPGA), becomes star electronics member device
The main selection of part.Currently, the important component in satellite control system, the drive control component of each executing agency is general
Control algolithm processing is realized all over using FPGA.
The drive control component of executing agency realizes that corresponding control algolithm is handled by FPGA, for example establishes whole star appearance
State, track location information need in control algolithm treatment process to use the initial data such as original star chart, reference data as comparing
Foundation, this requires storing a large amount of data information, but there is following application problems to need to solve during realization:
(1) storage of the data informations such as original star chart, reference data is realized using external memory, but is needed for storage
The problem of device chip increases printing plate suqare, and this results in the growths of satellite volume, in addition external memory is generally asynchronous storage
Mode, need completely stable interface processing timing just can guarantee data storage with it is accurate when use, this just brings operation
Time loss in speed；
(2) storage that the data informations such as original star chart, reference data are realized based on SRAM type FPGA internal storage is used,
It can choose internal RAM resource or FIFO resource realized, but SRAM type FPGA is sensitive to single particle effect, and data is easily caused to turn over
Turn mistake, it is necessary to cooperate effective Reliability Measures, could use, which increase the complexities that system is realized, reduce system
Reliability；
(3) depositing for the data informations such as original star chart, reference data is realized using based on anti-fuse type FPGA internal storage
Storage is limited to the part category that China can purchase, and can not realize reliably depositing for mass data by timing resource internal
Storage realizes that data store the essence of the uncontrollable problem bring data of existing data access timing using asynchronous storage resource
Degree and efficiency will reduce.
Summary of the invention
Technical problem solved by the present invention is having overcome the deficiencies of the prior art and provide a kind of by the acquisition data moment
Fitting early period of point, the fitting information for collecting and arranging each moment point, which determines, obtains joining based on the time for optimal fitting moment
The asynchronous data storage method of number process of fitting treatment is solved the prior art and is carried out using asynchronous storage unit and other function module
When data interaction, data acquisitions the problem of easily changing with external environment output response time.
The technical solution of the invention is as follows: a kind of asynchronous data storage method based on time parameter process of fitting treatment, packet
Include following steps:
The corresponding initial data of M target is preset in the asynchronous storage unit of FPGA by step 1 respectively, wherein original
Data are not constant data, wherein M is positive integer；
Step 2 obtains the corresponding target data of multiple targets from outside and stores the address fixed to asynchronous storage unit
In space, wherein target data includes some or all of current goal correspondence preset in asynchronous storage unit initial data
Multiple data, the target data of target 1 is denoted as target data 1, and the target data of target 2 is denoted as target data 2 ..., target M
Target data be denoted as target data M, wherein M is positive integer；
Step 3 obtains acquisition moment point quantity N from outside, if current FPGA supports process of frequency multiplication, in sampler
The rising edge of frequency doubling clock chooses N number of acquisition moment point, or combines choosing in rising edge, the failing edge of sampler frequency doubling clock
Take N number of acquisition moment point；
If current FPGA does not support process of frequency multiplication, rising edge, the failing edge of sampler frequency doubling clock carry out at
Pair combination choose acquisition moment point, while among rising edge, failing edge choose acquisition moment point, until choose adopted to N number of
Collect moment point, wherein N is positive integer；
Step 4 carries out data acquisition in acquisition moment point 1 to target data 1, obtains data information 1_1 and is stored in target
1 data of data acquire in moment point confirmation set, carry out data acquisition in acquisition moment point 2, obtain data information 1_2 and be stored in
1 data of target data acquire in moment point confirmation set ..., carry out data acquisition in acquisition moment point N to target data 1, obtain
It to data information 1_N and is stored in 1 data of target data acquisition moment point confirmation set, to target data 2 in acquisition moment point 1
Data acquisition is carried out, data information 2_1 is obtained and is stored in 2 data of target data acquisition moment point confirmation set, in acquisition
Punctum 2 carries out data acquisition, obtains data information 2_2 and is stored in 2 data of target data acquisition moment point confirmation set ...,
Data acquisition is carried out in acquisition moment point N, obtains data information 2_N deposit 2 data of target data acquisition moment point confirmation set
In ..., data acquisition is carried out in acquisition moment point 1 to target data M, data information M_1 is obtained and is stored in target data M data
It acquires in moment point confirmation set, carries out data acquisition in acquisition moment point 2, obtain data information M_2 and be stored in target data M
Data acquire in moment point confirmation set ..., carry out data acquisition in acquisition moment point N, obtain data information M_N and be stored in mesh
It marks in data M data acquisition moment point confirmation set；
Step 5, by the corresponding data of acquisition moment point i in 1 data of target data acquisition moment point confirmation set with it is asynchronous
The initial data of the corresponding acquisition moment point i of the preset target 1 of storage unit compares, if the two is identical, when acquiring
Effective weight coefficient TIMEi_VAULE of punctum i adds 1, otherwise, not to effective weight coefficient TIMEi_ of acquisition moment point i
VAULE is operated, and all acquisition moment point i are traversed；When by being acquired in 2 data of target data acquisition moment point confirmation set
The initial data of the corresponding data of punctum i acquisition moment point i corresponding with asynchronous storage unit preset target 2 compares,
If the two is identical, the effective weight coefficient TIMEi_VAULE for acquiring moment point i adds 1, otherwise, not to acquisition moment point i's
Effective weight coefficient TIMEi_VAULE is operated, and all acquisition moment point i are traversed；... when target data M data is acquired
The corresponding data of acquisition moment point i acquisition moment point i corresponding with the target M that asynchronous storage unit is preset in punctum confirmation set
Initial data compare, if the two is identical, the effective weight coefficient TIMEi_VAULE for acquiring moment point i adds 1, no
Then, effective weight coefficient TIMEi_VAULE of acquisition moment point i is not operated, traverses all acquisition moment point i,
In, i=1,2,3 ... N；
Step 6, the preceding P effectively corresponding acquisition moment points of weight coefficient are sent to external control algolithm processing module, is enabled
External control algolithm processing module carries out data from the preset initial data of asynchronous storage unit according to obtained acquisition moment point
Then acquisition carries out control algolithm processing according to the data collected, and control algolithm processing result is sent to asynchronous storage
Unit storage, wherein P < N and be positive integer.
It is 3 when current FPGA does not support process of frequency multiplication that the N, which is 10, N when current FPGA supports process of frequency multiplication,.
It is acquired among rising edge, failing edge in the step (3) as by IDELAY Postponement module or logic
Gate delays module is realized.
The data acquisition moment point confirmation set being capable of the corresponding acquisition data of storage section acquisition moment point.
The initial data includes that asynchronous store presets true form value, unit storage star chart or navigation data of calibration point.
P value when N is 10 is that 3, P value when N is 3 is 1.
The step 1- step 6 is realized on anti-fuse type FPGA.
The control algolithm processing module is star chart comparison module or drive control module.
The advantages of the present invention over the prior art are that:
(1) for storage method of the present invention by one group of orderly target data, the early period for realizing acquisition data moment point is quasi-
It closes, then obtains optimal acquisition moment point by collecting and arranging the fitting information determination of each moment point, solve existing
When technology carries out data interaction using asynchronous storage unit and other function module, data acquire the output response time easily with outside
The problem of environmental change, provides high speed, stable, reliable read access method for asynchronous memory cell data；
(2) storage method of the present invention compared with prior art, can sufficiently, reasonable utilization FPGA, especially satellite
Control system often uses the internal resource of anti-fuse type FPGA, by script in each executing agency's drive control component of satellite control system
The data information stored using 3 FPGA timing resources is needed, data are completed by the asynchronous storage unit of 1 FPGA and are deposited
Storage, significantly reduces complexity, lead time and the appropriation budget of function system, and it is resource-constrained to be preferably suitable for timing
And need to store the application environment of mass data.
Detailed description of the invention
Fig. 1 is a kind of asynchronous data storage method schematic illustration based on time parameter process of fitting treatment of the present invention；
Fig. 2 is a kind of asynchronous data storage method principle flow chart based on time parameter process of fitting treatment of the present invention.
Specific embodiment
A kind of asynchronous data storage method schematic illustration based on time parameter process of fitting treatment of the present invention as shown in Figure 1,
It is quasi- that the method for the present invention proposes the data based on time parameter between control algolithm processing module and asynchronous storage unit
Processing module is closed, for the module by one group of orderly target data of external input, the early period for realizing acquisition data moment point is quasi-
It closes, then by collecting and arranging the fitting information of each moment point, determination obtains optimal acquisition moment point.Joined based on the time
Several data process of fitting treatment modules exports optimal acquisition moment point to control algolithm processing module, and control algolithm processing module exists
In operational process, asynchronous storage unit will be accessed by optimal acquisition moment point.The method of the present invention compared with prior art, solves
When using asynchronous storage unit stores data, because when carrying out data interaction with other clock domain functional modules, asynchronous storage
The problem of response time of cell data output easily changes with external environment with reference to the accompanying drawing carries out the method for the present invention detailed
Illustrate, the method for the present invention as shown in Figure 2 includes the following steps:
Step 1, before the operation of control algolithm processing module life's work, setting control algolithm handles asynchronous memory unit access
Asynchronous one of default true form value, unit storage star chart or navigation data of calibration point of storing is preset at by prohibitory sign
In asynchronous storage unit in FPGA, wherein the data such as default true form value, unit storage star chart, navigation calibration point are not perseverance
Fixed number evidence, default true form value are the function data for including positive limit, negative sense limit, then at the data fitting based on time parameter
Reason module sends enabled instruction and is transferred to step when the data process of fitting treatment module based on time parameter receives enabled instruction
2。
Step 2, the data process of fitting treatment module based on time parameter receives one group of orderly target data, this group from outside
Orderly target data is determined by user, including multiple target datas, should have certain Typical Representative meaning, that is, includes different
Walk some or all of default default true form value in storage unit, part or all of unit storage star chart, partly or entirely navigation
Default true form value, partly or entirely some or all of is preset in the multiple data or asynchronous storage unit of data of calibration point
Unit stores star chart, data of calibration point of partly or entirely navigating, and target data is stored to the address fixed to asynchronous storage unit
In space.
Step 3, setting realize data process of fitting treatment acquisition moment point quantity, acquisition moment point quantity can Configuration Online,
If current FPGA supports process of frequency multiplication, moment point quantity will be acquired and be set as N (N is the integer greater than 0, generally can be with
It is set as 10), if current FPGA does not support process of frequency multiplication, setting N for acquisition moment point quantity, (N is whole greater than 0
3) number, generally can be set to；
When realizing data acquisition using overtone mode, used according to the acquisition moment point quantity of above-mentioned configuration, acquisition
Device dominant frequency, setting acquisition institute's Usage data collection device guarantee used device again in the frequency parameter of acquisition moment point
The rising edge of frequency clock can choose the rising edge of corresponding acquisition moment point quantity or frequency doubling clock, failing edge combination
Choose corresponding acquisition moment point quantity；
When do not support frequency multiplication realize data acquisition when, using institute's Usage data collection device clock rising edge, failing edge into
The pairs of combination of row is chosen, at the same provide IDELAY Postponement module or logic gate delays module realize rising edge, under
It drops and is chosen along intermediate acquisition moment point.
Step 4, the process of fitting treatment of each acquisition moment point data of starting target data, concrete operations are as follows:
Step a realizes the data acquisition for the acquisition moment point that target data 1 is arranged in step 3；
It realizes data acquisition of the target data 1 at acquisition moment point 1, data information 1_1 deposit data is acquired into the moment
In point confirmation set；Data acquisition of the target data 1 at acquisition moment point 2 is realized, by data information 1_2 deposit data acquisition
In moment point confirmation set；And so on, data acquisition of the target data 1 at acquisition moment point N is realized, by data information 1_
N is stored in data acquisition moment point confirmation set；
Step b realizes that the data acquisition of acquisition moment point is arranged in target data 2 in step 3；
It realizes data acquisition of the target data 2 at acquisition moment point 1, data information 2_1 deposit data is acquired into the moment
In point confirmation set；Data acquisition of the target data 2 at acquisition moment point 2 is realized, by data information 2_2 deposit data acquisition
In moment point confirmation set；And so on, data acquisition of the target data 2 at acquisition moment point N is realized, by data information 2_
N is stored in data acquisition moment point confirmation set；
Step c, according to described by step a and b, the data that acquisition moment point is arranged in realization target data M in step 3 are adopted
Collection；
It realizes data acquisition of the target data M at acquisition moment point 1, data information M_1 deposit data is acquired into the moment
In point confirmation set；Data acquisition of the target data M at acquisition moment point 2 is realized, by data information M_2 deposit data acquisition
In moment point confirmation set；And so on, data acquisition of the target data M at acquisition moment point N is realized, by data information M_
N is stored in data acquisition moment point confirmation set, wherein each target corresponds to a target data, the number of target data
Can be different from the acquisition quantity of moment point, M, N are positive integer；
Step d, if storage resource is limited, can only will at first, finally, intermediate or certain several continuous acquisition moment
Point (step a, step b, step c is generally taken to obtain the first three columns of data matrix, three column of centre or rear three column) data information note
Logging data acquires in moment point confirmation set.
Step 5, the retrospect of data and target data in the data acquisition moment point confirmation set obtained in step 4 is realized
With compare, concrete operations are as follows:
Step a realizes effective weight coefficient of data acquisition moment point 1；
By in data acquisition moment point confirmation collective data all data for recording of acquisition moment point 1 successively with it is asynchronous
Storage unit is preset true form value, unit storage star chart or navigation calibration point and is compared, if data acquisition moment point confirmation
Data in set are identical as asynchronous storage unit preset data, then the effective weight coefficient for acquiring moment point 1 are added 1, otherwise
Current data in data acquisition moment point confirmation collective data is abandoned, next data that acquisition moment point 1 records then are compared,
It is completed until will acquire and acquire all data processings that moment point 1 records in moment point set, obtains acquisition moment point 1 and effectively weigh
Weight values, and it is labeled as TIME1_VAULE；
Step b realizes effective weight coefficient of data acquisition moment point 2；
By in data acquisition moment point confirmation collective data all data for recording of acquisition moment point 2 successively with it is asynchronous
Storage unit is preset true form value, unit storage star chart or navigation calibration point and is compared, if data acquisition moment point confirmation
Data in set are identical as asynchronous storage unit preset data, then the effective weight coefficient for acquiring moment point 2 are added 1, otherwise
Current data in data acquisition moment point confirmation collective data is abandoned, next data that acquisition moment point 2 records then are compared,
It is completed until will acquire and acquire all data processings that moment point 2 records in moment point set, obtains acquisition moment point 2 and effectively weigh
Weight values, and it is labeled as TIME2_VAULE；
Step c realizes effective weight coefficient of acquisition moment point N according to described by step a and b；
By in data acquisition moment point confirmation collective data all data for recording of acquisition moment point N successively with it is asynchronous
Storage unit is preset true form value, unit storage star chart or navigation calibration point and is compared, if data acquisition moment point confirmation
Data in set are identical as asynchronous storage unit preset data, then the effective weight coefficient for acquiring moment point N are added 1, otherwise
Current data in data acquisition moment point confirmation collective data is abandoned, next data of acquisition moment point N record are then compared,
Until all data processings completion for acquiring moment point N record in moment point set will be acquired, obtains acquisition moment point N and effectively weigh
Weight values, and it is labeled as TIMEN_VAULE.
Step 6, the effective weighted value for arranging all acquisition moment points, handles according to majority principle, finally obtains optimal
Moment point is acquired, general default exports effective highest P of weight coefficient, and (P is to work as N less than the positive integer of acquisition moment point quantity N
When being 10, P is generally 3, and when N is 3, P is generally 1) a acquisition moment point, wherein step 2- step 6 is to be joined based on the time
The course of work of several data process of fitting treatment modules, the module can be realized on anti-fuse type FPGA.
Step 7, the optimal acquisition moment point generated in step 6 is sent to external control algolithm processing module, and will most
Excellent acquisition moment point is arranged control algolithm and handles asynchronous storage list with the read access module being placed in asynchronous storage unit
Member, which accesses, to be allowed to indicate, starts the subsequent processing of control algolithm.Wherein, control algolithm processing module can compare mould for star chart
Block, after star chart comparison module receives P optimal acquisition moment points, starting control algolithm processing receives current reality first
Then star chart data obtain preset background threshold according to P optimal acquisition moment points, with coordinate star from asynchronous storage unit
The currently practical star chart data of point subtract background threshold, obtain the grey scale pixel value of coordinate asterism；Then again by being deposited from asynchronous
Preset isolated point coordinate information is read out in storage unit, is completed the rejecting processing of coordinate asterism, is obtained useful coordinate asterism
Information；It is recorded into asynchronous storage unit.Control algolithm processing module may be drive control component control output module, drive
After dynamic control unit control output module receives P optimal acquisition moment points, starting control algolithm processing, according to digital servo-control
Calculate phase-accumulated of ring moulds block and, and combine P optimal acquisition moment points, preset sine obtained from asynchronous storage unit
The true form value of wave simulation device data realizes that the driving to executing agency exports control.
Step 8, control algolithm processing module carries out data acquisition from asynchronous storage unit according to optimal acquisition moment point, so
Control algolithm processing module completes current algorithm and handles task afterwards, and finally obtaining that treated, data result is sent to asynchronous storage
Unit storage.
Step 9, in control algolithm treatment process, if necessary, can return step 1 in the process of running, restarting
Data process of fitting treatment process, with the reply internal asynchronous memory cell data output response time easily changes with external environment
The problems such as variation.
The content that description in the present invention is not described in detail belongs to the well-known technique of those skilled in the art.
Claims (8)
1. a kind of asynchronous data storage method based on time parameter process of fitting treatment, it is characterised in that include the following steps:
The corresponding initial data of M target is preset in the asynchronous storage unit of FPGA by step 1 respectively, wherein initial data
It is not constant data, wherein M is positive integer；The FPGA is field programmable gate, Filed Programmable
Gate Array；
Step 2 obtains the corresponding target data of multiple targets from outside and stores the address space fixed to asynchronous storage unit
In, wherein target data includes times of some or all of current goal correspondence preset in asynchronous storage unit initial data
Number data, the target data of target 1 are denoted as target data 1, and the target data of target 2 is denoted as target data 2 ..., the mesh of target M
Mark data are denoted as target data M, wherein M is positive integer；
Step 3 obtains acquisition moment point quantity N from outside, if current FPGA supports process of frequency multiplication, in sampler frequency multiplication
The rising edge of clock chooses N number of acquisition moment point, or combines selection N in rising edge, the failing edge of sampler frequency doubling clock
A acquisition moment point；
If current FPGA does not support process of frequency multiplication, carried out in rising edge, the failing edge of sampler frequency doubling clock pairs of
Acquisition moment point is chosen in combination, while acquisition moment point is chosen among rising edge, failing edge, until choosing to when N number of acquisition
Punctum, wherein N is positive integer；
Step 4 carries out data acquisition in acquisition moment point 1 to target data 1, obtains data information 1_1 and is stored in target data 1
Data acquire in moment point confirmation set, carry out data acquisition in acquisition moment point 2, obtain data information 1_2 and be stored in target
1 data of data acquire in moment point confirmation set ..., carry out data acquisition in acquisition moment point N to target data 1, are counted
It is believed that ceasing 1_N and being stored in 1 data of target data acquisition moment point confirmation set, target data 2 is carried out in acquisition moment point 1
Data acquisition obtains data information 2_1 and is stored in 2 data of target data acquisition moment point confirmation set, in acquisition moment point 2
Data acquisition is carried out, data information 2_2 is obtained and is stored in 2 data of target data acquisition moment point confirmation set ..., is being acquired
Moment point N carries out data acquisition, obtains in data information 2_N deposit 2 data of target data acquisition moment point confirmation set ...,
Data acquisition is carried out in acquisition moment point 1 to target data M, when obtaining data information M_1 and being stored in the acquisition of target data M data
In punctum confirmation set, data acquisition is carried out in acquisition moment point 2, obtains data information M_2 and be stored in target data M data adopting
Collect in moment point confirmation set ..., carries out data acquisition in acquisition moment point N, obtain data information M_N and be stored in target data
M data acquires in moment point confirmation set；
Step 5 will acquire the corresponding data of moment point i and asynchronous storage in 1 data of target data acquisition moment point confirmation set
The initial data of the corresponding acquisition moment point i of the preset target 1 of unit compares, if the two is identical, acquires moment point i
Effective weight coefficient TIMEi_VAULE add 1, otherwise, not to acquisition moment point i effective weight coefficient TIMEi_VAULE into
Row operation, traverses all acquisition moment point i；I pairs of moment point will be acquired in 2 data of target data acquisition moment point confirmation set
The initial data of the data answered acquisition moment point i corresponding with asynchronous storage unit preset target 2 compares, if the two
Identical, then the effective weight coefficient TIMEi_VAULE for acquiring moment point i adds 1, otherwise, not to effective weight of acquisition moment point i
Coefficient T IMEi_VAULE is operated, and all acquisition moment point i are traversed；... by the acquisition moment point confirmation of target data M data
The original number of the corresponding data of moment point i acquisition moment point i corresponding with the target M that asynchronous storage unit is preset is acquired in set
According to comparing, if the two is identical, the effective weight coefficient TIMEi_VAULE for acquiring moment point i adds 1, otherwise, not to adopting
Effective weight coefficient TIMEi_VAULE of collection moment point i is operated, and all acquisition moment point i are traversed, wherein i=1,2,
3…N；
Step 6, the preceding P effectively corresponding acquisition moment points of weight coefficient are sent to external control algolithm processing module, is enabled external
Control algolithm processing module carries out data acquisition from the preset initial data of asynchronous storage unit according to obtained acquisition moment point,
Then control algolithm processing is carried out according to the data collected, and control algolithm processing result is sent to asynchronous storage unit and is deposited
Storage, wherein P < N and be positive integer.
2. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1, feature exist
In: it is 3 when current FPGA does not support process of frequency multiplication that the N, which is 10, N when current FPGA supports process of frequency multiplication,.
3. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1 or 2, feature
It is: is acquired among rising edge, failing edge in the step 3 as by IDELAY Postponement module or logic gates
Postponement module is realized.
4. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1 or 2, feature
Be: the data acquisition moment point confirmation set being capable of the corresponding acquisition data of storage section acquisition moment point.
5. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1 or 2, feature
Be: the initial data includes that asynchronous store presets true form value, unit storage star chart or navigation data of calibration point.
6. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 2, feature exist
In: P value when N is 10 is that 3, P value when N is 3 is 1.
7. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1 or 2, feature
Be: the step 1- step 6 is realized on anti-fuse type FPGA.
8. a kind of asynchronous data storage method based on time parameter process of fitting treatment according to claim 1, feature exist
In: the control algolithm processing module is star chart comparison module or drive control module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610677216.0A CN106325767B (en) | 2016-08-16 | 2016-08-16 | A kind of asynchronous data storage method based on time parameter process of fitting treatment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610677216.0A CN106325767B (en) | 2016-08-16 | 2016-08-16 | A kind of asynchronous data storage method based on time parameter process of fitting treatment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106325767A CN106325767A (en) | 2017-01-11 |
| CN106325767B true CN106325767B (en) | 2019-02-15 |
Family
ID=57740617
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610677216.0A Active CN106325767B (en) | 2016-08-16 | 2016-08-16 | A kind of asynchronous data storage method based on time parameter process of fitting treatment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106325767B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112328523B (en) * | 2020-10-28 | 2023-09-08 | 深圳市宏旺微电子有限公司 | Method, device and system for transmitting double-rate signal |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265277A (en) * | 2011-06-01 | 2011-11-30 | 华为技术有限公司 | Operation method and device for data memory system |
| CN102831090A (en) * | 2012-05-07 | 2012-12-19 | 中国科学院空间科学与应用研究中心 | Address line for space-borne DSP (Digital Signal Processor) and FPGA (Field Programmable Gate Array) communication interfaces and optimization method for address line |
| CN103870414A (en) * | 2012-12-13 | 2014-06-18 | 北京普源精电科技有限公司 | Data acquisition device and method for asynchronous communication based on programmable logic device |
| CN105373369A (en) * | 2014-08-25 | 2016-03-02 | 北京皮尔布莱尼软件有限公司 | Asynchronous caching method, server and system |
-
2016
- 2016-08-16 CN CN201610677216.0A patent/CN106325767B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265277A (en) * | 2011-06-01 | 2011-11-30 | 华为技术有限公司 | Operation method and device for data memory system |
| CN102831090A (en) * | 2012-05-07 | 2012-12-19 | 中国科学院空间科学与应用研究中心 | Address line for space-borne DSP (Digital Signal Processor) and FPGA (Field Programmable Gate Array) communication interfaces and optimization method for address line |
| CN103870414A (en) * | 2012-12-13 | 2014-06-18 | 北京普源精电科技有限公司 | Data acquisition device and method for asynchronous communication based on programmable logic device |
| CN105373369A (en) * | 2014-08-25 | 2016-03-02 | 北京皮尔布莱尼软件有限公司 | Asynchronous caching method, server and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106325767A (en) | 2017-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2019192261A1 (en) | Payment mode recommendation method and device and equipment | |
| CN104573000B (en) | Automatic call answering arrangement and method based on sequence study | |
| CN107610695A (en) | Driver's voice wakes up the dynamic adjusting method of instruction word weight | |
| CN104281684B (en) | Massive logs are stored and querying method and system | |
| CN104778182B (en) | Data lead-in method and system based on HBase | |
| CN109978261A (en) | Determine method, apparatus, readable medium and the electronic equipment of load forecasting model | |
| CN105677455A (en) | Device scheduling method and task administrator | |
| CN106803799A (en) | A kind of performance test methods and device | |
| CN107220360A (en) | A kind of Unified Modeling storage cut-in method based on magnanimity electric power monitoring data | |
| CN110399089B (en) | Data storage method, device, equipment and medium | |
| CN106325767B (en) | A kind of asynchronous data storage method based on time parameter process of fitting treatment | |
| CN109154651A (en) | Ranging processing method, device and unmanned vehicle based on radar | |
| CN110134646B (en) | Knowledge platform service data storage and integration method and system | |
| US20210201128A1 (en) | System and method for generating scores for predicting probabilities of task completion | |
| CN108052427B (en) | One kind accelerating processing SoC chip automation simulation test method based on image | |
| CN109299376A (en) | It is a kind of that method and device is searched for generally based on education cloud operating system | |
| CN109240644A (en) | A kind of local search approach and circuit for Yi Xin chip | |
| CN117235527A (en) | End-to-end containerized big data model construction method, device, equipment and medium | |
| CN107220283A (en) | Data processing method, device, storage medium and electronic equipment | |
| CN110059594A (en) | A kind of environment sensing adapting to image recognition methods and device | |
| CN104050100B (en) | A kind of data flow memory management method and system suitable for big data environment | |
| CN109800887A (en) | Predict generation method, device, storage medium and the electronic equipment of procedural model | |
| CN110309273A (en) | Answering method and device | |
| CN109815474A (en) | A kind of word order column vector determines method, apparatus, server and storage medium | |
| CN103455625B (en) | A kind of quick target rearrangement method for video abstraction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |