CN105893168A - Health condition analysis method and device for hard disk - Google Patents
Health condition analysis method and device for hard disk Download PDFInfo
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- CN105893168A CN105893168A CN201610188374.XA CN201610188374A CN105893168A CN 105893168 A CN105893168 A CN 105893168A CN 201610188374 A CN201610188374 A CN 201610188374A CN 105893168 A CN105893168 A CN 105893168A
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- hard disk
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/08—Error detection or correction by redundancy in data representation, e.g. by using checking codes
- G06F11/10—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's
- G06F11/1008—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's in individual solid state devices
- G06F11/1012—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's in individual solid state devices using codes or arrangements adapted for a specific type of error
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/26—Functional testing
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Abstract
The invention discloses a health condition analysis method for a hard disk. The method comprises the steps of obtaining attribute information of the hard disk, and recording abrasion parameters in the hard disk operation process; according to the abrasion parameters and a pre-configured abrasion model, obtaining the abrasion loss of the hard disk; according to the attribute information, the abrasion parameters and the abrasion loss, building a life model for analysis to obtain the health condition of the hard disk. The invention further discloses a health condition analysis device for the hard disk. Information of multiple aspects is combined, on the basis of use habits of a user, the health condition of the hard disk is comprehensively analyzed, the analysis result is displayed to the user in an easily-understood mode, and reliability and usability are achieved.
Description
Technical field
The present invention relates to technical field of information storage, particularly relate to a kind of hard disk analysis on the health status method and
Device.
Background technology
Hard disk is one of presently most used storage medium, is widely used in the meter such as PC, server
Calculate in machine equipment.The abrasion that hard disk produces during using, can cause the decline of readwrite performance.For
Make user carry out the healthy of hard disk in advance and optimize operation or data backup, need hard disk is carried out health
Monitoring, obtains the health status of hard disk.
At present, the health monitoring of hard disk is mainly by reading the SMART (Self-Monitoring of hard disk
Analysis and Reporting Technology, automatic detection analysis and reporting techniques) table acquisition hard disk
SMART attribute information, the SMART attribute information owing to obtaining is mostly original, untreated
Hard disk hardware information, such as hardware read error rate, hard disk power-on time etc., user is difficult to intuitively
Obtain the health status of hard disk.Furthermore it is also possible to by logic read-write Scanning Detction present hard discs either with or without
Bad block, or detection readwrite performance is either with or without decline, but the data obtained are only capable of finding out from indirect sources currently
The running status of hard disk, can not directly reflect the health status of hard disk.Further, the hard disk of current main flow
Detection instrument is all the attribute information directly reflecting hard drive internal state, and highly professional, domestic consumer sees
It is ignorant of the monitoring data obtained, the most more cannot infer the health status of hard disk from monitoring data.
As can be seen here, the hard disk health and fitness information data parameters obtained at present is few, for the health status of hard disk
Analyzing the most unilateral, the detection data obtained make the healthy letter obtaining hard disk that user cannot be directly perceived, understandable
Breath.
Summary of the invention
Present invention is primarily targeted at a kind of hard disk analysis on the health status method and apparatus of offer, it is intended to solve
Certainly hard disk health detection is unilateral, and Monitoring Data can not intuitively reflect the technical problem of hard disk health status.
For achieving the above object, the present invention provides a kind of hard disk analysis on the health status method, and described hard disk is good for
Health state analyzing method comprises the following steps:
Obtain the attribute information of hard disk, record the wear coefficient in described hard disk running;
According to described wear coefficient and the wear model being pre-configured with, obtain the wear extent of described hard disk;
According to described attribute information, described wear coefficient and described wear extent, set up life model and analyze
Health status to described hard disk.
In one embodiment, described wear coefficient includes the operation total time of described hard disk, write sum
According to amount, current erroneous inspection and correction ECC value and the number of times that currently weares and teares, the attribute information bag of described hard disk
Include the ECC max-thresholds of described hard disk, described according to described wear coefficient with the wear model that is pre-configured with,
The step of the wear extent obtaining described hard disk includes:
According to described current abrasion number of times and described wear model, obtain the ECC abrasion that described hard disk is current
The factor is described wear extent;
Described according to described attribute information, described wear coefficient and described wear extent, set up life model and divide
The step of the health status that analysis obtains described hard disk includes:
According to described operation total time and said write total amount of data, described current abrasion number of times, obtain institute
State the operational factor of hard disk;
Current ECC value, ECC max-thresholds and described current ECC wear factor according to described hard disk,
Obtain the residue abrasion number of times of described hard disk;
Based on described operational factor, according to the residue abrasion number of times of described hard disk, set up life model analysis
Obtain the health status of described hard disk.
In one embodiment, the attribute information of described hard disk also includes the spare block sum of described hard disk,
Described wear coefficient also includes bad block number, described based on described operational factor, according to the residue of described hard disk
Abrasion number of times, before setting up the step of the health status that life model analysis obtains described hard disk, also includes:
According to the total and described bad block number of described spare block, obtain the service condition of described hard disk spare block;
Described based on described operational factor, according to residue abrasion number of times and the described current abrasion of described hard disk
Number of times, the step setting up the health status that life model analysis obtains described hard disk includes:
Based on described operational factor and the service condition of described hard disk spare block, according to the residue of described hard disk
Abrasion number of times, sets up life model analysis and obtains the health status of described hard disk.
In one embodiment, the attribute information of described acquisition hard disk, record in described hard disk running
Wear coefficient step before, also include:
Obtain the ECC wear factor that each abrasion number of times of described hard disk is corresponding, configure wear model.
In one embodiment, described wear coefficient also includes the running temperature of described hard disk, described acquisition
The ECC wear factor that each abrasion number of times of described hard disk is corresponding, the step of configuration wear model includes:
Obtain described hard disk when running with each running temperature, the ECC wear factor that each abrasion number of times is corresponding,
Configuration wear model;
Described according to described current abrasion number of times and described wear model, obtain the ECC that described hard disk is current
Wear factor is that the step of described wear extent includes:
Running temperature according to described hard disk, described current abrasion number of times and described wear model, obtain institute
Stating the current ECC wear factor of hard disk is described wear extent.
Additionally, for achieving the above object, the present invention also provides for a kind of hard disk analysis on the health status device, institute
State hard disk analysis on the health status device to include:
Logging modle, for obtaining the attribute information of hard disk, records the abrasion in described hard disk running
Parameter;
Abrasion module, for according to described wear coefficient and the wear model that is pre-configured with, obtain described firmly
The wear extent of dish;
Analyze module, for according to described attribute information, described wear coefficient and described wear extent, set up
Life model analysis obtains the health status of described hard disk.
In one embodiment, described wear coefficient includes the operation total time of described hard disk, write sum
According to amount, current erroneous inspection and correction ECC value and the number of times that currently weares and teares, the attribute information bag of described hard disk
Including the ECC max-thresholds of described hard disk, described abrasion module is additionally operable to,
According to described current abrasion number of times and described wear model, obtain the ECC abrasion that described hard disk is current
The factor is described wear extent;
Described analysis module includes:
Operational factor unit, for according to described operation total time and said write total amount of data, described work as
Front abrasion number of times, obtains the operational factor of described hard disk;
Wear unit, for according to the current ECC value of described hard disk, ECC max-thresholds and described currently
ECC wear factor, obtains the residue abrasion number of times of described hard disk;
Analytic unit, for based on described operational factor, according to the residue abrasion number of times of described hard disk, building
Vertical life model analysis obtains the health status of described hard disk.
In one embodiment, the attribute information of described hard disk also includes the spare block sum of described hard disk,
Described wear coefficient also includes that bad block number, described analysis module also include:
Spare block unit, for according to the total and described bad block number of described spare block, obtains described hard disk standby
By the service condition of block;
Described analytic unit is additionally operable to,
Based on described operational factor and the service condition of described hard disk spare block, according to the residue of described hard disk
Abrasion number of times, sets up life model analysis and obtains the health status of described hard disk.
In one embodiment, described hard disk analysis on the health status device also includes:
Wear model module, for obtaining the ECC wear factor that each abrasion number of times of described hard disk is corresponding,
Configuration wear model.
In one embodiment, described wear coefficient also includes the running temperature of described hard disk, described abrasion
Model module is additionally operable to,
Obtain described hard disk when running with each running temperature, the ECC wear factor that each abrasion number of times is corresponding,
Configuration wear model;
Described abrasion module is additionally operable to, according to the running temperature of described hard disk, described current abrasion number of times and
Described wear model, obtaining the current ECC wear factor of described hard disk is described wear extent.
A kind of hard disk analysis on the health status method and apparatus that the present invention proposes, by obtaining the attribute of hard disk
Information, the wear coefficient in recording disk running, then according to wear coefficient and the mill being pre-configured with
Damage model, obtain the wear extent of hard disk;Then, according to attribute information, wear coefficient and the abrasion of hard disk
Amount, sets up life model analysis and obtains the health status of hard disk.The present invention is pre-configured with wear model, and
And according to hard disk wear coefficient in running, use habit and the hard disk abrasion of user can be obtained
Amount, thus according to wear extent and the attribute information of hard disk itself and user habit, set up life model, combine
Close and analyze the health status obtaining hard disk.Present invention achieves many information that combines, based on user
Use habit, the comprehensive health status analyzing hard disk, and analysis result will be obtained with the form being easily understood
It is presented to user.The analysis result that the embodiment of the present invention obtains more conforms to the practical situations of each hard disk,
There is reliability and ease for use, solve that present hard discs health detection is unilateral, Monitoring Data can not be the most anti-
Reflect the technical problem of hard disk health status.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of hard disk analysis on the health status method first embodiment of the present invention;
Fig. 2 is the schematic flow sheet of hard disk analysis on the health status method the second embodiment of the present invention;
Fig. 3 is the schematic flow sheet of hard disk analysis on the health status method the 3rd embodiment of the present invention;
Fig. 4 is the schematic flow sheet of hard disk analysis on the health status method the 4th embodiment of the present invention;
Fig. 5 is the schematic flow sheet of hard disk analysis on the health status method the 5th embodiment of the present invention;
Fig. 6 is the high-level schematic functional block diagram of hard disk analysis on the health status device first embodiment of the present invention;
Fig. 7 is the high-level schematic functional block diagram of hard disk analysis on the health status device the second embodiment of the present invention;
Fig. 8 is the high-level schematic functional block diagram of hard disk analysis on the health status device the 3rd embodiment of the present invention;
Fig. 9 is hard disk analysis on the health status device the 4th embodiment of the present invention, the functional module of the 5th embodiment
Schematic diagram;
Figure 10 is a kind of life model schematic diagram in the embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, do referring to the drawings further
Explanation.
Detailed description of the invention
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to limit
Determine the present invention.
The primary solutions of the embodiment of the present invention is: proposes a kind of hard disk analysis on the health status method, obtains
Take the attribute information of hard disk, record the wear coefficient in described hard disk running;Believe according to described attribute
Breath, described wear coefficient and the wear model being pre-configured with, obtain the wear extent of described hard disk;According to institute
State attribute information, described wear coefficient and described wear extent, set up life model analysis and obtain described hard disk
Health status.
The hard disk health and fitness information data parameters obtained due to prior art is few, and the health status for hard disk is divided
Analysing the most unilateral, the detection data obtained make the health and fitness information obtaining hard disk that user cannot be directly perceived, understandable.
The present invention provides a solution, in conjunction with many information, and use habit based on user,
The comprehensive health status analyzing hard disk, and it is presented to user by obtaining analysis result with the form being easily understood.
The analysis result that the embodiment of the present invention obtains more conforms to the practical situations of each hard disk, has reliability
And ease for use, solve that present hard discs health detection is unilateral, Monitoring Data can not intuitively reflect that hard disk is healthy
The technical problem of situation.
With reference to Fig. 1, hard disk analysis on the health status method first embodiment of the present invention provides a kind of hard disk health shape
Condition analyzes method, and described hard disk analysis on the health status method includes:
Step S10, the attribute information of acquisition hard disk, record the wear coefficient in described hard disk running.
It is owing to the health of hard disk is not only affected by attribute own, the most relevant with the service condition of user,
Therefore, the data message in attribute information that the present invention configures according to hard disk and running, set up the life-span
Model, analyzes the health status that hard disk is current comprehensively.Then current hard by simple user interface feedback
The state of dish, allows users to health status directly perceived, to be apparent from hard disk, and then recommends user to adopt
Take relevant optimization operation.
It should be noted that the hard disk in the present embodiment refers both to solid state hard disc (Solid State Drives, letter
Claim SSD).
Concrete, as a kind of embodiment, the present embodiment obtains each of hard disk by hard disc detecting device
Item data, carries out health analysis.It should be noted that detection device can be positioned at same calculating with hard disk
In machine equipment, it is also possible to for single external detection device, can arrange the most flexibly.Detection
Device, by the interface being pre-configured with, can read every data message of hard disk.
After card left by hard disk, the acquisition original ECC value of hard disk, ECC max-thresholds and maximum can be scanned
The attribute informations such as abrasion number of times.
The attribute information of hard disk is the constant information of hard disk, and wherein, the original ECC value of hard disk is hard disk
ECC state of dispatching from the factory, hard disk can be obtained in use as the ECC reference value of hard disk
ECC value changes.Original ECC value is the resident information of hard disk, immobilizes.
ECC max-thresholds is when error in data being detected, the data bit number that maximum can be corrected.Work as inspection
During the wrong data number the measured max-thresholds more than ECC, during beyond correction capability, read the number obtained
According to correcting completely, unavailable.When the actual ECC value of the hard disc physical block max-thresholds more than ECC
Time, then judge that this physical block is the worst, this physical block is replaced with spare block.
Greatest wear number of times is the erasable number of times of maximum of hard disk.In the running of hard disk, carry out logic
Hard disk, it is avoided that hard disk does not carry out erasing operation, is caused abrasion by write operation.Actual mill when hard disk
When damage number of times reaches greatest wear number of times, the end-of-life of hard disk.
After hard disk powers on, during carrying out daily reading and writing data, by WL (Wear Leveling,
Abrasion equilibrium) keep the abrasion equilibrium of each physical block in SSD, use ECC (Error Correcting Code,
Error checking and correction) correct the wrong data in data read process.
When bad block occurs in the physical block of hard disk, the address of bad block is mapped to standby good block, to realize
Make to make good use of block when writing data and replace bad block.
The detection device records hard disk each item data in running, obtains wear coefficient.The mill obtained
Damage parameter includes: present hard discs run total time, the total amount of data of write, current ECC value and current
Abrasion number of times etc..
Wherein, after the operation total time of present hard discs is for opening card, the operation that powers on for the first time from hard disk starts timing,
By the end of the current time of running, hard disk every time power on run temporal summation.Run and total time reflect use
Family uses the time of hard disk.Current ECC value is the ECC value that hard disk runs to current time, can be root
The average obtained according to the ECC value that each physical block of hard disk is current.
After the total amount of data of write is for opening card, from the beginning of hard disk powers on operation for the first time, run by the end of current
Moment, hard disk every time power on run time write data total amount.The total amount of data of write reflects user's
Data use habit.
After current abrasion number of times is for opening card, from the beginning of hard disk powers on operation for the first time, in time currently running
Carve, the balance abrasion number of times of each physical block of hard disk (NandFlash Block).Owing to hard disk uses WL
Carrying out abrasion equilibrium, the abrasion number of times therefore obtained can regard the average abrasion number of times of present hard discs as, also
I.e. WLV (Wear Leveling Value, abrasion equilibrium value).
Thus, the every wear coefficient in hard disk running is obtained.Certainly, the wear coefficient of hard disk is also
Can be other data, can arrange the most flexibly.
Step S20, according to described wear coefficient and the wear model that is pre-configured with, obtain the mill of described hard disk
Damage amount.
After the attribute information obtaining hard disk and wear coefficient, according to the wear coefficient of hard disk be pre-configured with
Wear model, obtain hard disk wear extent.
Concrete, as a kind of embodiment, detection device is provided with wear model, wear model in advance
Include the ECC wear factor that hard disk wear coefficient is corresponding.During ECC value is for reading data, entangle
Positive wrong data bit (bit) number.Along with the increase of hard disk abrasion number of times, the error number of hard disc data
Also can be gradually increased, ECC wear factor characterizes the hard disk ECC value variation characteristic with abrasion number of times.
ECC wear factor can obtain by hard disk is carried out wear test analysis.Due to solid state hard disc bag
Include multiple type, such as SLC (Single-Level Cell, single-layer type stores), MLC (Multi-Leveled
Cell, multiple field stores) and TLC (Triple-cellCell, three-layer type stores), and, different factories
Family, the production technology for same type hard disk there is also difference, therefore, to present hard discs same type,
Carrying out wear test with a batch of hard disk, analyzing the ECC wear factor that obtains can table the most accurately
Levy the ECC value of present hard discs and the relation of abrasion number of times.ECC wear factor is different abrasion number of times pair
The ECC value variation coefficient answered, the ECC value characterizing unit abrasion corresponding to different abrasion number of times interval increases
Amount speed.
According to the number of times that currently weares and teares of hard disk, wear model acquisition current abrasion number of times can be searched corresponding
ECC wear factor.
The ECC value that total run time according to hard disk and hard disk increase at present, obtains hard disk at default list
The ECC value increased in bit time, namely the Average increases of ECC.Such as, the default unit interval is taken
It is one day, then obtains the ECC value of hard disk increase average every day, namely ECC Per Day.
Thus, the wear extent of hard disk is obtained.The wear extent of hard disk can be that hard disk is in the default unit interval
The ECC value of interior increase, namely the Average increases of ECC;The wear extent of hard disk can also is that current abrasion
The ECC wear factor that number of times is corresponding.
Step S30, according to described attribute information, described wear coefficient and described wear extent, set up life-span mould
Type analysis obtains the health status of described hard disk.
After obtaining the wear extent of hard disk, according to attribute information, wear coefficient and the wear extent of hard disk, build
The life model of vertical hard disk, analyzes the health status obtaining hard disk.
As a kind of embodiment, first, the ECC increased at present according to total run time and the hard disk of hard disk
Value, obtains the ECC value that hard disk increased within the default unit interval, namely the Average increases of ECC.
Such as, taking the default unit interval is one day, then obtain the ECC value that hard disk increases average every day, namely
ECC Per Day。
Taking the default unit interval is t, and in hard disk unit interval t, the data volume of write is Data1, hard disk list
The ECC value increased in bit time t is ECC1, then ECC1 is the data volume of hard disk write is Data1
Time, the corresponding ECC value increased.Owing in hard disk unit interval t, the data volume of write characterizes user's
Data use state, namely the use habit of user, then, the ECC value table increased in unit interval t
Levy the ECC loss that hard disk run unit time t is caused.
After obtaining hard disk wear extent within the default unit interval, according to the ECC max-thresholds of hard disk,
Obtain the time that hard disk reaches the maximum error correction threshold value of ECC from current ECC value, and using this time as firmly
The residual life of dish.
Then, continue to run with current user's use habit with hard disk, the number of write of each unit interval
According to amount keep constant on the basis of, be calculated the operation time when often increasing a unit interval, hard disk surplus
The remaining life-span.
Then, according to operation time and the residual life of hard disk, set up the life model of hard disk, with reference to figure
10, can be Y-axis using the operation time of hard disk as X-axis, the residual life of hard disk, obtain hard disk
Life model.
Then, according to the life model of hard disk, according to the health status of default standard analysis hard disk.
Such as, if the Average increases of the ECC of present hard discs is less, and residual life is longer, then judge
Being in a good state of health of present hard discs;If the Average increases of the ECC of present hard discs is relatively big, and the residue longevity
Order longer, then judge that the health status of present hard discs is general;If the Average increases of the ECC of present hard discs
Relatively big, and residual life is shorter, then judge that the health status of present hard discs is poor.
Thus, the analysis result to hard disk health status is obtained.
As another embodiment, ECC wear factor is the interval interior different abrasion number of times of unit abrasion
Corresponding ECC value variation coefficient, namely the ECC value variation coefficient that the different abrasion number of times of hard disk are corresponding.
After obtaining the ECC wear factor that hard disk is current, can be according to the current ECC value of hard disk, ECC
Max-thresholds and ECC wear factor, obtain the residue abrasion number of times that hard disk is current.
Then according to current residue abrasion number of times and the number of times that currently weares and teares of hard disk of hard disk, run total time
Between, obtain the residual life of hard disk, set up life model, analyze the health status of hard disk.
Then, the analysis on the health status result obtained is fed back to user with the form of user interface, notice
The health status of user's present hard discs, and provide corresponding Optimizing Suggestions according to the use habit that user is current,
It is easily understood.Such as: the suggestion timely Backup Data of user, capacity etc. is reduced.
It should be noted that analysis on the health status result can feed back to user with the form of life model,
The form such as word, figure can also be made, can arrange the most flexibly.
In the present embodiment, by obtaining the attribute information of hard disk, the abrasion in recording disk running
Parameter, then according to wear coefficient and the wear model being pre-configured with, obtains the wear extent of hard disk;Then,
Attribute information, wear coefficient and wear extent according to hard disk, sets up life model analysis and obtains the strong of hard disk
Health situation.The present embodiment is pre-configured with wear model, and according to hard disk abrasion ginseng in running
Number, can obtain use habit and the hard disk wear extent of user, thus according to wear extent and hard disk itself
Attribute information and user habit, set up life model, and comprehensive analysis obtains the health status of hard disk.This reality
Execute example and achieve many information that combines, use habit based on user, the comprehensive health analyzing hard disk
Situation, and it is presented to user by obtaining analysis result with the form being easily understood.The embodiment of the present invention obtains
Analysis result more conform to the practical situations of each hard disk, there is reliability and ease for use, solve
Present hard discs health detection is unilateral, Monitoring Data can not intuitively reflect the technical problem of hard disk health status.
Further, with reference to Fig. 2, hard disk analysis on the health status method the second embodiment of the present invention provides one
Hard disk analysis on the health status method, based on the embodiment shown in above-mentioned Fig. 1, described wear coefficient includes institute
State the operation total time of hard disk, write total amount of data, current ECC value and the number of times that currently weares and teares, described firmly
The attribute information of dish includes the ECC max-thresholds of described hard disk, and described step S20 includes:
Step S21, according to described current abrasion number of times and described wear model, obtain described hard disk current
ECC wear factor is described wear extent.
In the running of hard disk, what the wear coefficient of acquisition included hard disk runs total time, write
Total amount of data, current ECC value and the number of times that currently weares and teares.
After obtaining abrasion number of times, according to abrasion number of times and the wear model being pre-configured with, obtain hard disk
Current ECC wear factor.
Concrete, as a kind of embodiment, the wear model being pre-configured with can be the ECC value of hard disk
With abrasion number of times variation coefficient model, have recorded hard disk respectively wear and tear corresponding to number of times ECC value change system
Number.Then according to the number of times that currently weares and teares of hard disk, searching wear model, obtaining corresponding ECC value change is
Number, using the ECC value variation coefficient that obtains as the current ECC wear factor of hard disk.
As another embodiment, the wear model being pre-configured with is that the ECC value of hard disk is with abrasion number of times
Variation coefficient model, have recorded hard disk abrasion ECC value variation coefficient corresponding to time intervals value.Then
According to the number of times that currently weares and teares of hard disk, the abrasion time intervals value belonging to lookup, obtain interval value corresponding
ECC value variation coefficient, using the ECC value variation coefficient that obtains as the current ECC wear factor of hard disk.
It should be noted that in the present embodiment, ECC value variation coefficient, namely ECC wear factor is
In unit abrasion is interval, ECC value is with the incremental velocity of abrasion number of times, and different abrasion number of times correspondences is different
ECC value variation coefficient.Such as, when current abrasion number of times is 1000 times, abrasion number of times often increases by 200
Secondary, ECC value increases by 5, then the ECC value variation coefficient of abrasion number of times 1000 correspondence is 5/200 time;When
When front abrasion number of times is 2000 times, abrasion number of times often increases by 200 times, and ECC value increases by 7, then abrasion time
The ECC value variation coefficient of several 2000 correspondences is 7/200 time.
Thus, obtain the current ECC wear factor of hard disk, using the ECC wear factor that obtains as firmly
The wear extent of dish.
Corresponding, described step S30 includes:
Step S31, according to described operation total time and said write total amount of data, described current abrasion number of times,
Obtain the operational factor of described hard disk.
According to the operation total time obtained and write total amount of data, currently wear and tear number of times, obtain hard disk in advance
If unit interval in, the data volume of write and corresponding abrasion number of times, and the unit interval number that will obtain
According to amount and the number of times operational factor as hard disk of wearing and tearing.Wherein, the unit interval preset can be one day,
Can also be one hour, it is also possible to be other times, can arrange the most flexibly.Such as, in advance
If the unit interval that takes be one day, then obtain the data volume of hard disk average every day, namely Data Per Day.
In the unit interval that hard disk is preset, the data volume of write and abrasion number of times characterize the use habit of user.
Step S32, current ECC value, ECC max-thresholds and described current ECC according to described hard disk
Wear factor, obtains the residue abrasion number of times of described hard disk.
Concrete, as a kind of embodiment, obtain the current ECC value of hard disk, ECC max-thresholds and
After current ECC wear factor, according to the ECC max-thresholds of hard disk, current ECC value and current ECC
Wear factor, obtains the number of run that hard disk reaches the maximum error correction threshold value of ECC from current ECC value, and
Using this number of run as hard disk residue wear and tear number of times.
Step S33, based on described operational factor, wear and tear number of times according to the residue of described hard disk, set up the life-span
Model analysis obtains the health status of described hard disk.
After obtaining the residue abrasion number of times of hard disk, operational factor based on hard disk, according to the residue of hard disk
Abrasion number of times is set up life model analysis and is obtained the health status of hard disk.
Concrete, as a kind of embodiment, first, according to the operational factor of hard disk, obtain hard disk every
The data volume of unit interval write, the corresponding abrasion number of times increased, namely in the hard disk run unit time
Abrasion number of times.
Then, continue to run with current user's use habit with hard disk, the number of write of each unit interval
Keep constant according to amount, run abrasion number of times and the residue abrasion number of times of hard disk of time according to hard disk, obtain
The residual life of hard disk.
Then, according to operation time and the residual life of hard disk, set up the life model of hard disk, with reference to figure
10, can be Y-axis using the operation time of hard disk as X-axis, the residual life of hard disk, obtain hard disk
Life model.
It should be noted that in the present embodiment, the ECC max-thresholds of hard disk can be that hard disk is actual
ECC max-thresholds, it is also possible to be the warning value of hard disk actual ECC max-thresholds, such as ECC is maximum
The 90% of threshold value, 80% etc., can arrange the most flexibly.
After obtaining the life model of hard disk, operational factor based on hard disk, according to default standard analysis
Obtain the health status of hard disk.
Continue to run with current operational factor with hard disk, namely hard disk keeps current unit interval write
On the basis of data volume is constant, analyze the health status of hard disk.
Such as, if present hard discs unit interval write data volume is less, and residual life is longer, then judge
Being in a good state of health of present hard discs;If present hard discs unit interval write data volume is relatively big, residual life
Longer, then judge that the health status of present hard discs is general;If present hard discs unit interval write data volume is relatively
Greatly, residual life shorter, then judge that the health status of present hard discs is poor.
Thus, the analysis result to hard disk health status is obtained.
Then, the analysis on the health status result obtained is fed back to user with the form of user interface, notice
The health status of user's present hard discs, and provide corresponding Optimizing Suggestions according to the use habit that user is current,
It is easily understood.Such as: the suggestion timely Backup Data of user, capacity etc. is reduced.
It should be noted that analysis on the health status result can feed back to user with the form of life model,
The form such as word, figure can also be made, can arrange the most flexibly.
In the present embodiment, wear coefficient includes running total time, write total amount of data, current ECC value
Currently wear and tear number of times, and the attribute information of hard disk includes the ECC max-thresholds of described hard disk, according to hard disk
Current abrasion number of times and wear model, the ECC wear factor obtaining hard disk current is wear extent;Then,
According to running total time and write total amount of data, currently wearing and tearing number of times, obtain the operational factor of hard disk;So
After, according to current ECC value, ECC max-thresholds and the current ECC wear factor of hard disk, obtain hard
The residue abrasion number of times of dish;Then, based on operational factor, according to the residue abrasion number of times of hard disk, set up
Life model, analyzes the health status obtaining described hard disk.The present embodiment obtains by setting up life model
The residual life of hard disk, and according to operation total time of hard disk and total amount of data, obtain the use of user
Custom, thus use habit based on user, the attribute information of hard disk itself and life model analyze hard disk
Health status, it is achieved that the comprehensive analysis to hard disk health status, result more accurately, directly perceived.
Further, with reference to Fig. 3, hard disk analysis on the health status method the 3rd embodiment of the present invention provides one
Hard disk analysis on the health status method, based on the embodiment shown in above-mentioned Fig. 2, the attribute information of described hard disk
Also including the spare block sum of described hard disk, described wear coefficient also includes bad block number, described step S33
Before, also include:
Step S34, according to the total and described bad block number of described spare block, obtain making of described hard disk spare block
Use situation.
In the present embodiment, the attribute information of hard disk also includes the spare block sum of hard disk.The spare block of hard disk
Sum is before hard disk leaves card, and the reserved good number of blocks of spare physical block goes out for the physical block at hard disk
During the worst block, it is replaced.The wear coefficient of hard disk also includes bad block number.Bad block number is after card left by hard disk,
Up to the present, the bad physical block quantity replaced by spare physical block.
Detection device can obtain the use of spare block according to the spare block sum of hard disk and current bad block number
Situation.Such as, spare physical block has used complete the most, and whether hard disk there remains the thing being not used by
Reason block.
Corresponding, described step S33 step includes:
Step S35, based on described operational factor and the service condition of described hard disk spare block, according to described firmly
The residue abrasion number of times of dish, sets up life model analysis and obtains the health status of described hard disk.
After obtaining the residue abrasion number of times of hard disk, making of operational factor based on hard disk and hard disk spare block
By situation, set up life model analysis according to the residue abrasion number of times of hard disk and obtain the health status of hard disk.
Concrete, as a kind of embodiment, first, according to the operational factor of hard disk, obtain hard disk every
The data volume of unit interval write, the corresponding abrasion number of times increased, namely in the hard disk run unit time
Abrasion number of times.
Then, continue to run with current user's use habit with hard disk, the number of write of each unit interval
Keep constant according to amount, run abrasion number of times and the residue abrasion number of times of hard disk of time according to hard disk, obtain
The residual life of hard disk.
Then, according to operation time and the residual life of hard disk, the life model of hard disk is set up.
Continue to run with current operational factor with hard disk, namely hard disk keeps current unit interval write
On the basis of data volume is constant, analyze the health status of hard disk.
Such as, if the spare block that the physical block of present hard discs bad block number is not up to hard disk is total, namely currently
Hard disk there remains untapped good block, and unit interval write data volume is less, residual life is longer,
Then judge being in a good state of health of present hard discs;If the physical block of present hard discs bad block number has reached hard disk
Spare block is total, namely the initial standby good block of present hard discs is the most all used, and during hard disk unit
Between write that data volume is relatively big, residual life is longer, then judge that the health status of present hard discs is general;If working as
The physical block bad block number of front hard disk has reached the spare block sum of hard disk, namely present hard discs is the most standby
Good block is the most all used, and unit interval write data volume is relatively big, residual life is shorter, then judge
The health status of present hard discs is poor.
Thus, the analysis result to hard disk health status is obtained.
Then, the analysis on the health status result obtained is fed back to user with the form of user interface, notice
The health status of user's present hard discs, and provide corresponding Optimizing Suggestions according to the use habit that user is current,
It is easily understood.Such as: the suggestion timely Backup Data of user, capacity etc. is reduced.
It should be noted that analysis on the health status result can feed back to user with the form of life model,
The form such as word, figure can also be made, can arrange the most flexibly.
In the present embodiment, the attribute information of hard disk also includes the spare block sum of hard disk, and wear coefficient is also
Including bad block number, the service condition of hard disk spare block according to the total and bad block number of spare block, can be obtained;
Then, operational factor based on hard disk and the service condition of hard disk spare block, wear and tear according to the residue of hard disk
Number of times sets up life model, analyzes the health status obtaining hard disk.The present embodiment combines hard disk spare block
Service condition and life model, the comprehensive health status analyzing hard disk, data are more comprehensive, and obtain divides
Analysis result is more accurate.
Further, with reference to Fig. 4, hard disk analysis on the health status method the 4th embodiment of the present invention provides one
Hard disk analysis on the health status method, based on embodiment (this enforcement shown in above-mentioned any one of Fig. 2 or Fig. 3
Example is as a example by Fig. 2), before described step S10, also include:
Step S40, obtain the ECC wear factor that each abrasion number of times of described hard disk is corresponding, configuration abrasion
Model.
Along with the increase of hard disk abrasion number of times, the error number of hard disc data also can be gradually increased, ECC value
Increase and have certain rule.Detection device carries out wear test analysis in advance to hard disk, obtains the mill of hard disk
Damage number of times and corresponding ECC wear factor, set up wear model.ECC wear factor characterizes hard disk
ECC value is with the change of abrasion number of times.
Owing to solid state hard disc includes multiple type, such as SLC, MLC and TLC, and, different factories
Family, the production technology for same type hard disk there is also difference, therefore, to present hard discs same type,
Carrying out wear test with a batch of multiple hard disks, analyzing the ECC wear factor obtained can be the most accurate
Characterize present hard discs ECC value with abrasion number of times relation.
Concrete, take present hard discs same type, with a batch of hard disk, repeat the read-write of data,
Until hard disk life-span finishes.When wiping existing data on physical block, add up each physical block erasing data
Number of times, as the abrasion number of times of each physical block.Owing to using abrasion equilibrium WL, keep each thing in hard disk
The abrasion equilibrium of reason block, the abrasion number of times meansigma methods of each physical block therefore obtained can be used as present hard discs
Abrasion number of times.
After obtaining abrasion number of times, if hard disk is carrying out the reading of data, then each physics when record reads data
The ECC value of block;If hard disk is in idle IDEL state, then can carry out background scanning and read each thing
The ECC value of reason block.
Then, the maximum ECC value in each physical block ECC value is obtained, using maximum ECC value as hard disk
The ECC value that current abrasion number of times is corresponding;Or obtain the meansigma methods of each physical block ECC value, by meansigma methods
The ECC value that the number of times that currently weares and teares as hard disk is corresponding.
Thus obtain each abrasion number of times of hard disk and corresponding ECC value.Can take multiple same type, with
A batch of hard disk carries out wear test, obtains multi-group data.
Then, as a kind of embodiment, calculate the ECC value incremental velocity that each abrasion number of times is corresponding, make
For the ECC value variation coefficient that each abrasion number of times is corresponding.
Then, taking in multi-group data, the ECC value variation coefficient meansigma methods of same abrasion number of times, as this
The ECC wear factor of abrasion number of times.Or,
Each abrasion number of times is divided into numerical intervals according to the interval threshold preset, obtains multiple abrasion number of times
Interval.Then, take in multi-group data, the ECC value variation coefficient meansigma methods in each abrasion time intervals,
As the ECC wear factor that the number of times that weares and teares in this interval is corresponding.
Then, according to each abrasion time intervals and corresponding ECC wear factor, create wear model, mill
Damaging model can be with the form being form, it is simple to inquiry.
In the present embodiment, the ECC wear factor corresponding by obtaining each abrasion number of times of hard disk, configuration
Wear model;Hereafter, described abrasion number of times can be obtained corresponding according to abrasion number of times and wear model
ECC wear factor, obtains the wear extent that hard disk runs.The present embodiment is carried out by taking multiple sample in advance
Wear test is analyzed, and obtains the ECC wear factor of hard disk, configures wear model;Further, the present embodiment
The sample and the present hard discs that use be same type, same batch, it is to avoid dissimilar, different batches
The wear factor error that causes due to factors such as techniques of hard disk, it is achieved that being pre-configured with of wear model.
The wear factor obtained in the present embodiment can be used for obtaining what hard disk produced in running more accurately
ECC value added so that the analysis to hard disk health status is more accurate.
Further, with reference to Fig. 5, hard disk analysis on the health status method the 5th embodiment of the present invention provides one
Hard disk analysis on the health status method, based on the embodiment shown in above-mentioned Fig. 4, described wear coefficient also includes
The running temperature of described hard disk, described step S40 includes:
Step S41, obtain described hard disk when running with each running temperature, the ECC that each abrasion number of times is corresponding
Wear factor, configures wear model.
ECC wear factor characterizes under different running temperatures, and hard disk ECC value is with the change of abrasion number of times.
Concrete, as a kind of embodiment, take present hard discs same type, with a batch of hard disk,
Repeat the read-write of data, until hard disk life-span finishes.When wiping existing data on physical block,
Add up the number of times of each physical block erasing data, as the abrasion number of times of each physical block.Owing to using abrasion all
Weighing apparatus WL, keeps the abrasion equilibrium of each physical block in hard disk, and the abrasion number of times of each physical block therefore obtained is put down
Average can be used as the abrasion number of times of present hard discs.
After obtaining abrasion number of times, if hard disk is carrying out the reading of data, then each physics when record reads data
The ECC value of block;If hard disk is in idle IDEL state, then can carry out background scanning and read each thing
The ECC value of reason block.
Then, the maximum ECC value in each physical block ECC value is obtained, using maximum ECC value as hard disk
The ECC value that current abrasion number of times is corresponding;Or obtain the meansigma methods of each physical block ECC value, by meansigma methods
The ECC value that the number of times that currently weares and teares as hard disk is corresponding.
Thus, each abrasion number of times of hard disk and corresponding ECC value, now, the operation of detection hard disk are obtained
Temperature, obtains running temperature and corresponding abrasion number of times, the ECC value of hard disk.Multiple same class can be taken
Type, carry out wear test with a batch of hard disk, obtain multi-group data.The data obtained are run for difference
At a temperature of, each abrasion number of times and the ECC value of correspondence.
Then, according under each running temperature, ECC value that each abrasion number of times is corresponding, be calculated each operation
At a temperature of, ECC value variation coefficient that each abrasion number of times is corresponding, that is, under each running temperature, different
Abrasion ECC value incremental velocity corresponding to number of times.
Then, take in multi-group data, under each running temperature, the ECC value variation coefficient of same abrasion number of times
Meansigma methods, as under this running temperature, the ECC wear factor of this abrasion number of times.Or,
Each running temperature is divided into numerical intervals according to the interval threshold preset, obtains multiple running temperature
Interval.Then, take in multi-group data, under each running temperature interval, the ECC value change of each abrasion number of times
Coefficient meansigma methods, as in this running temperature interval, the ECC wear factor that each abrasion number of times is corresponding.
Then, according under each temperature range, respectively abrasion number of times and corresponding ECC wear factor, create and grind
Damaging model, wear model can be with the form being form, it is simple to inquiry.
Corresponding, described step S21 includes:
Step S22, the running temperature according to described hard disk, described current abrasion number of times and described wear model,
Obtaining the current ECC wear factor of described hard disk is described wear extent.
After the current running temperature obtaining hard disk and current abrasion number of times, currently run temperature according to hard disk
Degree, abrasion number of times and wear model, search the ECC wear factor that the number of times that currently worn and torn is corresponding.
The ECC wear factor that if ECC wear factor is each running temperature, abrasion number of times is corresponding, the most permissible
Directly obtain current running temperature, wear factor that current abrasion number of times is corresponding;If ECC wear factor is
In each running temperature interval, the ECC wear factor that each abrasion number of times is corresponding, then according to current running temperature,
Obtain the running temperature belonging to current running temperature interval, then obtain in current running temperature interval, when
The ECC wear factor that front abrasion number of times is corresponding, as the wear factor that current abrasion number of times is corresponding.
Thus, the wear factor that the current running temperature of hard disk is corresponding with abrasion number of times is obtained.
In the present embodiment, wear coefficient also includes the running temperature of hard disk, obtains hard disk and runs temperature with each
When degree runs, the ECC wear factor that each abrasion number of times is corresponding, configure wear model;Obtaining hard disk
After wear coefficient, according to the running temperature of hard disk, current abrasion number of times and wear model, obtain hard disk and work as
Front ECC wear factor is wear extent.Temperature when the present embodiment runs in view of hard disk is to ECC value
Impact, monitors the running temperature of hard disk in real time, when acquisition hard disk runs with different running temperatures, respectively grinds
Damaging the ECC value that number of times is corresponding, the wear factor obtained is more accurate such that it is able to more comprehensively analyze
The health status of hard disk.
With reference to Fig. 6, hard disk analysis on the health status device first embodiment of the present invention provides a kind of hard disk health shape
Condition analytical equipment, described hard disk analysis on the health status device includes:
Logging modle 10, for obtaining the attribute information of hard disk, records the mill in described hard disk running
Damage parameter.
Hard disk in the present embodiment refers both to solid state hard disc (Solid State Drives is called for short SSD).
Concrete, as a kind of embodiment, the present embodiment is obtained by hard disk analysis on the health status device
Each item data of hard disk, carries out health analysis.It should be noted that hard disk analysis on the health status device can
To be positioned in same computer equipment with hard disk, it is also possible to for single external detection device, can be according to reality
Border needs to arrange flexibly.Hard disk analysis on the health status device, by the interface being pre-configured with, can read hard
Every data message of dish.
After card left by hard disk, logging modle 10 can scan the acquisition original ECC value of hard disk, ECC
The big attribute information such as threshold value and greatest wear number of times.
The attribute information of hard disk is the constant information of hard disk, and wherein, the original ECC value of hard disk is hard disk
ECC state of dispatching from the factory, hard disk can be obtained in use as the ECC reference value of hard disk
ECC value changes.Original ECC value is the resident information of hard disk, immobilizes.
ECC max-thresholds is when error in data being detected, the data bit number that maximum can be corrected.Work as inspection
During the wrong data number the measured max-thresholds more than ECC, during beyond correction capability, read the number obtained
According to correcting completely, unavailable.When the actual ECC value of the hard disc physical block max-thresholds more than ECC
Time, then judge that this physical block is the worst, this physical block is replaced with spare block.
Greatest wear number of times is the erasable number of times of maximum of hard disk.In the running of hard disk, carry out logic
Hard disk, it is avoided that hard disk does not carry out erasing operation, is caused abrasion by write operation.Actual mill when hard disk
When damage number of times reaches greatest wear number of times, the end-of-life of hard disk.
After hard disk powers on, during carrying out daily reading and writing data, by WL (Wear Leveling,
Abrasion equilibrium) keep the abrasion equilibrium of each physical block in SSD, use ECC (Error Correcting Code,
Error checking and correction) correct the wrong data in data read process.
When bad block occurs in the physical block of hard disk, the address of bad block is mapped to standby good block, to realize
Make to make good use of block when writing data and replace bad block.
Logging modle 10 recording disk each item data in running, obtains wear coefficient.Obtain
Wear coefficient includes: present hard discs run total time, the total amount of data of write, current ECC value and work as
Front abrasion number of times etc..
Wherein, after the operation total time of present hard discs is for opening card, the operation that powers on for the first time from hard disk starts timing,
By the end of the current time of running, hard disk every time power on run temporal summation.Run and total time reflect use
Family uses the time of hard disk.
After the total amount of data of write is for opening card, from the beginning of hard disk powers on operation for the first time, run by the end of current
Moment, hard disk every time power on run time write data total amount.The total amount of data of write reflects user's
Data use habit.Current ECC value is the ECC value that hard disk runs to current time, can be according to hard
The average that the current ECC value of each physical block of dish obtains.
After current abrasion number of times is for opening card, from the beginning of hard disk powers on operation for the first time, in time currently running
Carve, the balance abrasion number of times of each physical block of hard disk (NandFlash Block).Owing to hard disk uses WL
Carrying out abrasion equilibrium, the abrasion number of times therefore obtained can regard the average abrasion number of times of present hard discs as, also
I.e. WLV (Wear Leveling Value, abrasion equilibrium value).
Thus, the every wear coefficient during logging modle 10 obtains hard disk running.Certainly, hard disk
Wear coefficient can also is that other data, can arrange the most flexibly.
Abrasion module 20, for according to described wear coefficient and the wear model being pre-configured with, obtaining described
The wear extent of hard disk.
After the attribute information obtaining hard disk and wear coefficient, abrasion module 20 according to hard disk wear coefficient and
The wear model being pre-configured with, obtains the wear extent of hard disk.
Concrete, as a kind of embodiment, being provided with wear model in advance, wear model includes firmly
The ECC wear factor that dish wear coefficient is corresponding.During ECC value is for reading data, the mistake of correction
Data bit (bit) number.Along with the increase of hard disk abrasion number of times, the error number of hard disc data also can be gradually
Increasing, ECC wear factor characterizes the hard disk ECC value variation characteristic with abrasion number of times.
Abrasion module 20, according to the number of times that currently weares and teares of hard disk, can be searched wear model and obtain current abrasion
The ECC wear factor that number of times is corresponding.
The ECC value that abrasion module 20 increases at present according to total run time and the hard disk of hard disk, obtains hard
The ECC value that dish increased within the default unit interval, namely the Average increases of ECC.Such as, take pre-
If unit interval be one day, then obtain the ECC value increased hard disk average every day, namely ECC Per Day.
Thus, abrasion module 20 obtains the wear extent of hard disk.The wear extent of hard disk can be that hard disk is being preset
Unit interval in the ECC value that increases, namely the Average increases of ECC;The wear extent of hard disk is all right
It it is the ECC wear factor that currently abrasion number of times is corresponding.
Analyze module 30, for according to described attribute information, described wear coefficient and described wear extent, build
Vertical life model analysis obtains the health status of described hard disk.
As a kind of embodiment, first, module 30 is analyzed according to the total run time of hard disk and hard disk mesh
The ECC value of front increase, obtains the ECC value that hard disk increased within the default unit interval, namely ECC
Average increases.Such as, taking the default unit interval is one day, then obtaining hard disk increases average every day
ECC value, namely ECC Per Day.
After analysis module 30 obtains hard disk wear extent within the default unit interval, according to the ECC of hard disk
Max-thresholds, obtains the time that hard disk reaches the maximum error correction threshold value of ECC from current ECC value, and by this
Time is as the residual life of hard disk.
Then, analyze module 30 to continue to run, during each unit with current user's use habit with hard disk
Between the data volume of write keep constant on the basis of, be calculated the operation time when often increasing a unit interval,
The residual life of hard disk.
Then, according to operation time and the residual life of hard disk, the life model of hard disk is set up.Then,
Analyze the module 30 life model according to hard disk, according to the health status of default standard analysis hard disk.
As another embodiment, ECC wear factor is the interval interior different abrasion number of times of unit abrasion
Corresponding ECC value variation coefficient, namely the ECC value variation coefficient that the different abrasion number of times of hard disk are corresponding.
After obtaining the ECC wear factor that hard disk is current, analyzing module 30 can current according to hard disk
ECC value, ECC max-thresholds and ECC wear factor, obtain the residue abrasion number of times that hard disk is current.
Then, the module 30 current current abrasion time remaining abrasion number of times and hard disk according to hard disk is analyzed
Number, operation total time, obtain the residual life of hard disk, set up life model, analyze the healthy shape of hard disk
Condition.
Then, analyze module 30 the analysis on the health status result obtained to be fed back to the form of user interface
User, notifies the health status of user's present hard discs, and provides corresponding according to the use habit that user is current
Optimizing Suggestions, be easily understood.Such as: the suggestion timely Backup Data of user, capacity etc. is reduced.
In the present embodiment, logging modle 10 is by obtaining the attribute information of hard disk, and recording disk ran
Wear coefficient in journey, then abrasion module 20 is according to wear coefficient and the wear model being pre-configured with, and obtains
Take the wear extent of hard disk;Then, the module 30 attribute information, wear coefficient and abrasion according to hard disk is analyzed
Amount, sets up life model analysis and obtains the health status of hard disk.The present embodiment is pre-configured with wear model,
And according to hard disk wear coefficient in running, use habit and the hard disk mill of user can be obtained
Damage amount, thus according to wear extent and the attribute information of hard disk itself and user habit, set up life model,
Comprehensive analysis obtains the health status of hard disk.The present embodiment achieves and combines many information, based on
The use habit at family, the comprehensive health status analyzing hard disk, and analysis result will be obtained to be easily understood
Form is presented to user.The analysis result that the embodiment of the present invention obtains more conforms to the actual application of each hard disk
Situation, has reliability and ease for use, solves that present hard discs health detection is unilateral, Monitoring Data can not
The technical problem reflecting hard disk health status directly perceived.
Further, with reference to Fig. 7, hard disk analysis on the health status device the second embodiment of the present invention provides one
Hard disk analysis on the health status device, based on the embodiment shown in above-mentioned Fig. 6, described wear coefficient includes institute
State the operation total time of hard disk, write total amount of data, current ECC value and the number of times that currently weares and teares, described firmly
The attribute information of dish includes that the ECC max-thresholds of described hard disk, described abrasion module 20 are additionally operable to,
According to described current abrasion number of times and described wear model, obtain the ECC abrasion that described hard disk is current
The factor is described wear extent.
Concrete, as a kind of embodiment, the wear model being pre-configured with can be the ECC value of hard disk
With abrasion number of times variation coefficient model, have recorded hard disk respectively wear and tear corresponding to number of times ECC value change system
Number.Then abrasion module 20 is according to the number of times that currently weares and teares of hard disk, searches wear model, obtains corresponding ECC
Value variation coefficient, using the ECC value variation coefficient that obtains as the current ECC wear factor of hard disk.
As another embodiment, the wear model being pre-configured with is that the ECC value of hard disk is with abrasion number of times
Variation coefficient model, have recorded hard disk abrasion ECC value variation coefficient corresponding to time intervals value.Then
Abrasion module 20, according to the number of times that currently weares and teares of hard disk, the abrasion time intervals value belonging to lookup, obtains district
Between be worth the ECC value variation coefficient of correspondence, using the ECC value variation coefficient that obtains as the current ECC of hard disk
Wear factor.
Thus, abrasion module 20 has obtained the current ECC wear factor of hard disk, the ECC mill that will obtain
Damage the factor wear extent as hard disk.
Corresponding, described analysis module 30 includes:
Operational factor unit 31, for according to described operation total time and said write total amount of data, described
Currently wear and tear number of times, obtains the operational factor of described hard disk.
Operational factor unit 31 according to the operation total time obtained and write total amount of data, currently wear and tear number of times,
Obtain hard disk within the default unit interval, the data volume of write and corresponding abrasion number of times, and will obtain
Unit interval data volume and abrasion number of times as the operational factor of hard disk.In the unit interval that hard disk is preset
The data volume of write and abrasion number of times characterize the use habit of user.
Wear unit 32, for according to the current ECC value of described hard disk, ECC max-thresholds with described work as
Front ECC wear factor, obtains the residue abrasion number of times of described hard disk.
Concrete, as a kind of embodiment, obtain the current ECC value of hard disk, ECC max-thresholds and
After current ECC wear factor, wear unit 32 is according to the ECC max-thresholds of hard disk, current ECC value
With current ECC wear factor, acquisition hard disk reaches the maximum error correction threshold value of ECC from current ECC value
Number of run, and using this number of run as hard disk residue wear and tear number of times.
Analytic unit 33, for based on described operational factor, according to the residue abrasion number of times of described hard disk,
Set up life model analysis and obtain the health status of described hard disk.
Concrete, as a kind of embodiment, first, analytic unit 33 according to the operational factor of hard disk,
Obtain the data volume of hard disk time per unit write, the corresponding abrasion number of times increased, namely hard disk and run single
Abrasion number of times in bit time.
Then, analytic unit 33 continues to run, during each unit with current user's use habit with hard disk
Between write data volume keep constant, according to hard disk run the time abrasion number of times and hard disk residue abrasion
Number of times, obtains the residual life of hard disk.
Then, analytic unit 33, according to operation time of hard disk and residual life, sets up the life-span mould of hard disk
Type.After obtaining the life model of hard disk, analytic unit 33 operational factor based on hard disk, according to presetting
Standard analysis obtain the health status of hard disk.
Analytic unit 33 continues to run with current operational factor with hard disk, namely hard disk keeps current list
On the basis of bit time write data volume is constant, analyze the health status of hard disk.Thus, analytic unit 33 obtains
To the analysis result to hard disk health status.Then, the analysis on the health status knot that analytic unit 33 will obtain
Fruit feeds back to user with the form of user interface.
In the present embodiment, wear coefficient includes running total time, write total amount of data, current ECC value
Currently wear and tear number of times, and the attribute information of hard disk includes the ECC max-thresholds of described hard disk, module of wearing and tearing
20 according to abrasion number of times and the wear model being pre-configured with, and the current ECC wear factor obtaining hard disk is mill
Damage amount;Then, operational factor unit 31 is according to running total time and write total amount of data, current abrasion time
Number, obtains the operational factor of hard disk;Then, wear unit 32 is according to the current ECC value of hard disk, ECC
Max-thresholds and current ECC wear factor, obtain the residue abrasion number of times of hard disk;Analytic unit 33 base
In operational factor, according to the residue abrasion number of times of hard disk, set up life model, analyze and obtain described hard disk
Health status.The present embodiment obtains the residual life of hard disk by setting up life model, and according to firmly
The operation total time of dish and total amount of data, obtain the use habit of user, thus use based on user practised
Used, the attribute information of hard disk itself and life model analyze the health status of hard disk, it is achieved that strong to hard disk
Comprehensive analysis of health situation, result is more accurately, intuitively.
Further, with reference to Fig. 8, hard disk analysis on the health status device the 3rd embodiment of the present invention provides one
Hard disk analysis on the health status device, based on the embodiment shown in above-mentioned Fig. 7, the attribute information of described hard disk
Also including the spare block sum of described hard disk, described wear coefficient also includes bad block number, described analysis module
30 also include:
Spare block unit 34, for according to the total and described bad block number of described spare block, obtains described hard disk
The service condition of spare block.
In the present embodiment, the attribute information of hard disk also includes the spare block sum of hard disk.The spare block of hard disk
Sum is before hard disk leaves card, and the reserved good number of blocks of spare physical block goes out for the physical block at hard disk
During the worst block, it is replaced.The wear coefficient of hard disk also includes bad block number.Bad block number is after card left by hard disk,
Up to the present, the bad physical block quantity replaced by spare physical block.
Spare block unit 34 can obtain spare block according to the spare block sum of hard disk and current bad block number
Service condition.Such as, spare physical block has used complete the most, and whether hard disk there remains is not used by
Physical block.
Corresponding, described analytic unit 33 is additionally operable to,
Based on described operational factor and the service condition of described hard disk spare block, according to the residue of described hard disk
Abrasion number of times, sets up life model analysis and obtains the health status of described hard disk.
Concrete, as a kind of embodiment, first, analytic unit 33 according to the operational factor of hard disk,
Obtain the data volume of hard disk time per unit write, the corresponding abrasion number of times increased, namely hard disk and run single
Abrasion number of times in bit time.
Then, analytic unit 33 continues to run, during each unit with current user's use habit with hard disk
Between write data volume keep constant, according to hard disk run the time abrasion number of times and hard disk residue abrasion
Number of times, obtains the residual life of hard disk.Then, analytic unit 33 is according to operation time of hard disk and residue
In the life-span, set up the life model of hard disk.
Analytic unit 33 continues to run with current operational factor with hard disk, namely hard disk keeps current list
On the basis of bit time write data volume is constant, analyze the health status of hard disk.
Such as, if the spare block that the physical block of present hard discs bad block number is not up to hard disk is total, namely currently
Hard disk there remains untapped good block, and unit interval write data volume is less, residual life is longer,
Then judge being in a good state of health of present hard discs;If the physical block of present hard discs bad block number has reached hard disk
Spare block is total, namely the initial standby good block of present hard discs is the most all used, and during hard disk unit
Between write that data volume is relatively big, residual life is longer, then judge that the health status of present hard discs is general;If working as
The physical block bad block number of front hard disk has reached the spare block sum of hard disk, namely present hard discs is the most standby
Good block is the most all used, and unit interval write data volume is relatively big, residual life is shorter, then judge
The health status of present hard discs is poor.
Thus, analytic unit 33 obtains the analysis result to hard disk health status.Then, analytic unit 33
The analysis on the health status result obtained is fed back to user with the form of user interface.
In the present embodiment, the attribute information of hard disk also includes the spare block sum of hard disk, and wear coefficient is also
Including bad block number, spare block unit 34 can obtain hard disk spare block according to the total and bad block number of spare block
Service condition;Then, analytic unit 33 operational factor based on hard disk and the use feelings of hard disk spare block
Condition, sets up life model according to the residue abrasion number of times of hard disk, analyzes the health status obtaining hard disk.This
Embodiment combines service condition and the life model of hard disk spare block, the comprehensive health status analyzing hard disk,
Data are more comprehensive, and the analysis result obtained is more accurate.
Further, with reference to Fig. 9, hard disk analysis on the health status device the 4th embodiment of the present invention provides one
Hard disk analysis on the health status device, based on the embodiment shown in above-mentioned Fig. 7 or Fig. 8, (the present embodiment is with Fig. 7
As a example by), described hard disk analysis on the health status device also includes:
Wear model module 40, for obtaining the ECC wear factor that each abrasion number of times of described hard disk is corresponding,
Configuration wear model.
Along with the increase of hard disk abrasion number of times, the error number of hard disc data also can be gradually increased, ECC value
Increase and have certain rule.Wear model module 40 carries out wear test analysis in advance to hard disk, obtains hard
The abrasion number of times of dish and corresponding ECC wear factor, set up wear model.ECC wear factor characterizes
Hard disk ECC value is with the change of abrasion number of times.
Concrete, wear model module 40 takes present hard discs same type, with a batch of hard disk, repetition
Carry out the read-write of data, until hard disk life-span finishes.When wiping existing data on physical block, statistics
The number of times of each physical block erasing data, as the abrasion number of times of each physical block.Owing to using abrasion equilibrium WL,
Keeping the abrasion equilibrium of each physical block in hard disk, the abrasion number of times meansigma methods of each physical block therefore obtained is i.e.
Can be as the abrasion number of times of present hard discs.
After wear model module 40 obtains abrasion number of times, if hard disk is carrying out the reading of data, then record reading
The ECC value of each physical block when fetching data;If hard disk is in idle IDEL state, then after can carrying out
The ECC value of each physical block is read in platform scanning.
Then, wear model module 40 obtains the maximum ECC value in each physical block ECC value, by maximum
ECC value currently weares and teares as hard disk ECC value corresponding to number of times.
Thus, wear model module 40 obtains each abrasion number of times of hard disk and corresponding ECC value.Permissible
Take multiple same type, carry out wear test with a batch of hard disk, obtain multi-group data.
Then, as a kind of embodiment, wear model module 40 calculates the ECC that each abrasion number of times is corresponding
Value incremental velocity, as the ECC value variation coefficient that each abrasion number of times is corresponding.
Then, taking in multi-group data, the ECC value variation coefficient meansigma methods of same abrasion number of times, as this
The ECC wear factor of abrasion number of times.Or,
Each abrasion number of times is divided into numerical intervals according to the interval threshold preset, obtains multiple abrasion number of times
Interval.Then, take in multi-group data, the ECC value variation coefficient meansigma methods in each abrasion time intervals,
As the ECC wear factor that the number of times that weares and teares in this interval is corresponding.
Then, wear model module 40 according to each abrasion time intervals and corresponding ECC wear factor,
Creating wear model, wear model can be with the form being form, it is simple to inquiry.
In the present embodiment, wear model module 40 is by ECC corresponding to each abrasion number of times obtaining hard disk
Wear factor, configures wear model;Hereafter, abrasion module 20 can according to abrasion number of times and wear model,
Obtain the ECC wear factor that described abrasion number of times is corresponding.The present embodiment is carried out by taking multiple sample in advance
Wear test is analyzed, and obtains the ECC wear factor of hard disk, configures wear model;Further, the present embodiment
The sample and the present hard discs that use be same type, same batch, it is to avoid dissimilar, different batches
The wear factor error that causes due to factors such as techniques of hard disk, it is achieved that being pre-configured with of wear model.
The wear factor obtained in the present embodiment can be used for obtaining what hard disk produced in running more accurately
ECC value added so that the analysis to hard disk health status is more accurate.
Further, with reference to Fig. 9, hard disk analysis on the health status device the 5th embodiment of the present invention provides one
Hard disk analysis on the health status device, based on the hard disk analysis on the health status device of the present invention shown in above-mentioned Fig. 9
4th embodiment, described wear coefficient also includes the running temperature of described hard disk, described wear model module
40 are additionally operable to,
Obtain described hard disk when running with each running temperature, the ECC wear factor that each abrasion number of times is corresponding,
Configuration wear model.
Concrete, as a kind of embodiment, wear model module 40 take present hard discs same type, with
A batch of hard disk, repeats the read-write of data, until hard disk life-span finishes.On erasing physical block
During existing data, add up the number of times of each physical block erasing data, as the abrasion number of times of each physical block.
Owing to using abrasion equilibrium WL, keep the abrasion equilibrium of each physical block, each physics therefore obtained in hard disk
The abrasion number of times meansigma methods of block can be used as the abrasion number of times of present hard discs.
After obtaining abrasion number of times, if hard disk is carrying out the reading of data, then each physics when record reads data
The ECC value of block;If hard disk is in idle IDEL state, then can carry out background scanning and read each thing
The ECC value of reason block.
Then, wear model module 40 obtains the maximum ECC value in each physical block ECC value, by maximum
ECC value currently weares and teares as hard disk ECC value corresponding to number of times;Or obtain each physical block ECC value
Meansigma methods, the ECC value that the number of times that meansigma methods currently worn and torn as hard disk is corresponding.
Thus, wear model module 40 obtains each abrasion number of times of hard disk and corresponding ECC value, now,
The running temperature of detection hard disk, obtains running temperature and corresponding abrasion number of times, the ECC value of hard disk.Mill
Damage model module 40 to take multiple same type, carry out wear test with a batch of hard disk, obtain many
Group data.The data obtained are under different running temperatures, and respectively wear and tear number of times and the ECC value of correspondence.
Then, according under each running temperature, ECC value that each abrasion number of times is corresponding, wear model module 40
Be calculated the ECC value variation coefficient that each abrasion number of times is corresponding, that is, under each running temperature, different
Abrasion ECC value incremental velocity corresponding to number of times.
Then, wear model module 40 takes in multi-group data, under each running temperature, same abrasion number of times
ECC value variation coefficient meansigma methods, as under this running temperature, the ECC wear factor of this abrasion number of times.
Or,
Each running temperature is divided into numerical intervals according to the interval threshold preset, obtains multiple running temperature
Interval.Then, wear model module 40 takes in multi-group data, under each running temperature interval, and each abrasion time
The ECC value variation coefficient meansigma methods of number, as in this running temperature interval, the ECC that each abrasion number of times is corresponding
Wear factor.
Then, wear model module 40 is according under each temperature range, and respectively wear and tear number of times and corresponding ECC
Wear factor, creates wear model, and wear model can be with the form being form, it is simple to inquiry.
Described abrasion module 20 is additionally operable to, according to running temperature, the described current abrasion number of times of described hard disk
With described wear model, obtaining the current ECC wear factor of described hard disk is described wear extent.
After the current running temperature obtaining hard disk and current abrasion number of times, abrasion module 20 is according to hard disk
Current running temperature, abrasion number of times and wear model, search the ECC mill that the number of times that currently worn and torn is corresponding
Damage the factor.
Thus, abrasion module 20 obtains the wear factor that the current running temperature of hard disk is corresponding with abrasion number of times.
In the present embodiment, wear coefficient also includes that the running temperature of hard disk, wear model module 40 obtain
When hard disk runs with each running temperature, the ECC wear factor that each abrasion number of times is corresponding, configure wear model;
After the wear coefficient obtaining hard disk, abrasion module 20 is according to the running temperature of hard disk, currently wear and tear number of times
And wear model, the ECC wear factor obtaining hard disk current is wear extent.The present embodiment considers hard disk
The impact on ECC value of temperature during operation, monitors the running temperature of hard disk in real time, obtains hard disk with difference
Running temperature when running, the ECC value that each abrasion number of times is corresponding, the wear factor obtained is more accurate,
It is thus possible to more comprehensively analyze the health status of hard disk.
These are only the alternative embodiment of the present invention, not thereby limit the scope of the claims of the present invention, every
Utilize equivalent structure or equivalence flow process conversion that description of the invention and accompanying drawing content made, or directly or
Connect and be used in other relevant technical fields, be the most in like manner included in the scope of patent protection of the present invention.
Claims (10)
1. a hard disk analysis on the health status method, it is characterised in that described hard disk analysis on the health status side
Method comprises the following steps:
Obtain the attribute information of hard disk, record the wear coefficient in described hard disk running;
According to described wear coefficient and the wear model being pre-configured with, obtain the wear extent of described hard disk;
According to described attribute information, described wear coefficient and described wear extent, set up life model and analyze
Health status to described hard disk.
2. hard disk analysis on the health status method as claimed in claim 1, it is characterised in that described abrasion
Parameter includes the operation total time of described hard disk, write total amount of data, current erroneous inspection and corrects ECC
Value and the number of times that currently weares and teares, the attribute information of described hard disk includes the ECC max-thresholds of described hard disk, institute
State according to described wear coefficient and the wear model being pre-configured with, obtain the step of the wear extent of described hard disk
Including:
According to described current abrasion number of times and described wear model, obtain the ECC abrasion that described hard disk is current
The factor is described wear extent;
Described according to described attribute information, described wear coefficient and described wear extent, set up life model and divide
The step of the health status that analysis obtains described hard disk includes:
According to described operation total time and said write total amount of data, described current abrasion number of times, obtain institute
State the operational factor of hard disk;
Current ECC value, ECC max-thresholds and described current ECC wear factor according to described hard disk,
Obtain the residue abrasion number of times of described hard disk;
Based on described operational factor, according to the residue abrasion number of times of described hard disk, set up life model analysis
Obtain the health status of described hard disk.
3. hard disk analysis on the health status method as claimed in claim 2, it is characterised in that described hard disk
Attribute information also include described hard disk spare block sum, described wear coefficient also includes bad block number, institute
State based on described operational factor, according to the residue abrasion number of times of described hard disk, set up life model and analyze
Before the step of the health status of described hard disk, also include:
According to the total and described bad block number of described spare block, obtain the service condition of described hard disk spare block;
Described based on described operational factor, according to the residue abrasion number of times of described hard disk, set up life model
The step analyzing the health status obtaining described hard disk includes:
Based on described operational factor and the service condition of described hard disk spare block, according to the residue of described hard disk
Abrasion number of times, sets up life model analysis and obtains the health status of described hard disk.
4. hard disk analysis on the health status method as claimed in claim 2 or claim 3, it is characterised in that described
Obtain the attribute information of hard disk, before recording the step of wear coefficient in described hard disk running, also
Including:
Obtain the ECC wear factor that each abrasion number of times of described hard disk is corresponding, configure wear model.
5. hard disk analysis on the health status method as claimed in claim 4, it is characterised in that described abrasion
Parameter also includes the running temperature of described hard disk, and each abrasion number of times of the described hard disk of described acquisition is corresponding
ECC wear factor, the step of configuration wear model includes:
Obtain described hard disk when running with each running temperature, the ECC wear factor that each abrasion number of times is corresponding,
Configuration wear model;
Described according to described current abrasion number of times and described wear model, obtain the ECC that described hard disk is current
Wear factor is that the step of described wear extent includes:
Running temperature according to described hard disk, described current abrasion number of times and described wear model, obtain institute
Stating the current ECC wear factor of hard disk is described wear extent.
6. a hard disk analysis on the health status device, it is characterised in that described hard disk analysis on the health status fills
Put and include:
Logging modle, for obtaining the attribute information of hard disk, records the abrasion in described hard disk running
Parameter;
Abrasion module, for according to described wear coefficient and the wear model that is pre-configured with, obtain described firmly
The wear extent of dish;
Analyze module, for according to described attribute information, described wear coefficient and described wear extent, set up
Life model analysis obtains the health status of described hard disk.
7. hard disk analysis on the health status device as claimed in claim 6, it is characterised in that described abrasion
Parameter includes the operation total time of described hard disk, write total amount of data, current erroneous inspection and corrects ECC
Value and the number of times that currently weares and teares, the attribute information of described hard disk includes the ECC max-thresholds of described hard disk, institute
State abrasion module to be additionally operable to,
According to described current abrasion number of times and described wear model, obtain the ECC abrasion that described hard disk is current
The factor is described wear extent;
Described analysis module includes:
Operational factor unit, for according to described operation total time and said write total amount of data, described work as
Front abrasion number of times, obtains the operational factor of described hard disk;
Wear unit, for according to the current ECC value of described hard disk, ECC max-thresholds with described work as
Front ECC wear factor, obtains the residue abrasion number of times of described hard disk;
Analytic unit, for based on described operational factor, according to the residue abrasion number of times of described hard disk, building
Vertical life model analysis obtains the health status of described hard disk.
8. hard disk analysis on the health status device as claimed in claim 7, it is characterised in that described hard disk
Attribute information also include described hard disk spare block sum, described wear coefficient also includes bad block number, institute
State analysis module also to include:
Spare block unit, for according to the total and described bad block number of described spare block, obtains described hard disk standby
By the service condition of block;
Described analytic unit is additionally operable to,
Based on described operational factor and the service condition of described hard disk spare block, according to the residue of described hard disk
Abrasion number of times, sets up life model analysis and obtains the health status of described hard disk.
9. hard disk analysis on the health status device as claimed in claim 7 or 8, it is characterised in that described
Hard disk analysis on the health status device also includes:
Wear model module, for obtaining the ECC wear factor that each abrasion number of times of described hard disk is corresponding,
Configuration wear model.
10. hard disk analysis on the health status device as claimed in claim 9, it is characterised in that described mill
Damaging parameter and also include the running temperature of described hard disk, described wear model module is additionally operable to,
Obtain described hard disk when running with each running temperature, the ECC wear factor that each abrasion number of times is corresponding,
Configuration wear model;
Described abrasion module is additionally operable to, according to the running temperature of described hard disk, described current abrasion number of times and
Described wear model, obtaining the current ECC wear factor of described hard disk is described wear extent.
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CN109857333A (en) * | 2017-11-30 | 2019-06-07 | 深圳市海思半导体有限公司 | A kind of health degree processing method, SSD controller and the disk array of SSD medium |
CN109857333B (en) * | 2017-11-30 | 2022-08-26 | 深圳市海思半导体有限公司 | Health degree processing method of SSD medium, SSD controller and disk array |
CN108205424A (en) * | 2017-12-29 | 2018-06-26 | 北京奇虎科技有限公司 | Data migration method, device and electronic equipment based on disk |
CN108205424B (en) * | 2017-12-29 | 2021-09-28 | 北京奇虎科技有限公司 | Data migration method and device based on disk and electronic equipment |
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CN111782143B (en) * | 2020-06-22 | 2024-06-25 | 北京计算机技术及应用研究所 | Hard disk health state estimation method based on IO load |
CN114077401A (en) * | 2020-08-14 | 2022-02-22 | 美光科技公司 | Selectable wear life indicator based on data retention |
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