CN108733511A - A kind of electronic data processing method based on big data - Google Patents
A kind of electronic data processing method based on big data Download PDFInfo
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- CN108733511A CN108733511A CN201810245715.1A CN201810245715A CN108733511A CN 108733511 A CN108733511 A CN 108733511A CN 201810245715 A CN201810245715 A CN 201810245715A CN 108733511 A CN108733511 A CN 108733511A
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- premises access
- ustomer premises
- big data
- access equipment
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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
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03K—PULSE TECHNIQUE
- H03K5/00—Manipulating of pulses not covered by one of the other main groups of this subclass
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03K—PULSE TECHNIQUE
- H03K5/00—Manipulating of pulses not covered by one of the other main groups of this subclass
- H03K2005/00013—Delay, i.e. output pulse is delayed after input pulse and pulse length of output pulse is dependent on pulse length of input pulse
Abstract
A kind of electronic data processing method based on big data, including：Big data information processing centre obtains the state of a plurality of clients equipment, big data information processing centre determines the priority of a plurality of clients equipment, the storage that big data information processing centre carries out data according to the priority of a plurality of clients equipment is backed up, when a plurality of clients equipment needs, big data information processing centre carries out a plurality of clients equipment the recovery of data.This method is capable of the occupancy of optimized processor and storage resource, improve electronic data processing efficiency, reduce power consumption, reasonably carry out scheduling of resource and distribution, and ensure the stable storage of readable storage medium storing program for executing, big data information processing centre itself also stablizes, and can effectively and stably supply electric power, it can delay the backup of data in time when accident and exception occur for big data information processing centre, and carry out reallocating and storing again in time.
Description
Technical field
The present invention relates to electrical signal data process fields, more specifically, are related to a kind of electronic data based on big data
Processing method.
Background technology
With the fast development of the technologies such as computer and networks, modern society enters the information age, and when informationization
The distinguishing feature in generation is the explosive growth of data.Particularly, big data, internet+, cloud computing, Internet of Things, artificial intelligence
A series of evolution at full speed in air ports such as energy, data mining, climate change emulation, leads to data volume explosion；This is bringing society
Can and user facility, improve user experience, it is more intelligent, accurately in advance obtain information while, also bring lot of challenges.Cause
Become more and more huger and complicated for data, and the acquisition modes of information are more convenient, in addition network security is to a certain extent
There are loopholes so that the safety of big data is concerned.For enterprise, data to be managed are increasingly huge so that letter
The cost of the technologies such as breath storage, safety guarantee and operation maintenance is constantly soaring, and challenge is proposed to efficiency, economic dispatch aspect.
In addition, constantly gathering and being exposed in more complicated information environment with mass data, once accident is encountered, such as
Natural cause, such as earthquake, fire, heavy rain, big flood；And other reasons, such as power down, supply of electric power are unstable, artificial broken
Bad, attack etc., user will sink into core data and lose or reveal, will cause dangerous and cause serious economic loss.Therefore,
Under big data background, carrying out processing with security and stability to electronic data seems most important.In addition, sometimes, it is more when existing
When a ustomer premises access equipment, some ustomer premises access equipments will produce the not high data of inessential either useless or importance degree, and
Since these data occupy a large amount of processors and storage resource, leads to whole electronic data processing inefficiency, also create
The inefficient consumption of electric power；Therefore it there is a need to and carry out rational scheduling of resource and distribution.In addition, big data information processing centre sheet
Body must be stablized, it is therefore desirable to effectively and stably be supplied its power supply, and occurred in big data information processing centre
When accident and exception, the backup of data can be delayed in time, and carry out reallocating and storing again in time.
Invention content
An object of the present invention is to provide a kind of electronic data processing method based on big data, and this method can optimize
The occupancy of processor and storage resource, improve electronic data processing efficiency, reduce power consumption, reasonably carry out scheduling of resource and
Distribution, and ensure the stable storage of readable storage medium storing program for executing, big data information processing centre itself also stablizes, can be effectively and steady
Surely electric power is supplied, can delay the standby of data in time when accident and exception occur for big data information processing centre
Part, and carry out reallocating and storing again in time.
The technical solution that the present invention takes to solve above-mentioned technical problem is：At a kind of electronic data based on big data
Reason method, including：Big data information processing centre obtains the state of a plurality of clients equipment, and big data information processing centre determines
The priority of a plurality of clients equipment, big data information processing centre carry out data according to the priority of a plurality of clients equipment
Storage backup, when a plurality of clients equipment needs, big data information processing centre carries out data to a plurality of clients equipment
Restore.
According to another aspect of the present invention, method further comprises the steps：In step sl, at big data information
Reason is attempted to be communicated with M ustomer premises access equipment centrally through its internal communication interface, via link, to confirm that big data is believed
Whether can be communicated between breath processing center and M ustomer premises access equipment；Wherein M is greater than the positive integer equal to 2；In step
In rapid S2, when big data information processing centre can be communicated with M ustomer premises access equipment, in big data information processing
The heart obtains the value-at-risk and the corresponding significance level of M ustomer premises access equipment of M ustomer premises access equipment, and is calculated to obtain M
The evaluation coefficient of a ustomer premises access equipment, and determine according to the evaluation coefficient priority of M ustomer premises access equipment, and to M user
End equipment carries out the first sequence；When the forward evaluation coefficient that sorts is higher than default extreme value, judge residing for corresponding ustomer premises access equipment
Risk factor be located at state of necessity, to prevent mistake from judging and preventing the data corruption of resource occupation and ustomer premises access equipment, weight
Newly obtain the ustomer premises access equipment value-at-risk and the corresponding significance level of the ustomer premises access equipment and calculate obtain the user terminal set
Standby evaluation coefficient is directly entered step S8 if still critical；Otherwise proceed to step S4；In step s3, when big number
When cannot be communicated according to information processing centre and N number of in M ustomer premises access equipment, the event that exclusion can not communicate is attempted
Barrier, until meeting preset condition；When can only be communicated there are one ustomer premises access equipment, what acquisition can be communicated should
The value-at-risk of ustomer premises access equipment and the corresponding significance level of the ustomer premises access equipment, and calculated to obtain the ustomer premises access equipment
Evaluation coefficient, then immediately proceed to step S5；And when there is a plurality of clients equipment that can communicate, acquisition can be into
Row communication a plurality of clients equipment value-at-risk and the corresponding significance level of multiple ustomer premises access equipment, and calculated with
The evaluation coefficient of multiple ustomer premises access equipment is obtained, and determines the priority of multiple ustomer premises access equipment according to the evaluation coefficient,
And the second sequence is carried out to multiple ustomer premises access equipment；And continue to step S4；Wherein N is less than the positive integer equal to M；
Wherein value-at-risk refers to be easy to causeing the index of data corruption, and to refer to ustomer premises access equipment data believe big data to significance level
The necessary index that breath processing center is recorded, and evaluation coefficient is the value-at-risk and the ustomer premises access equipment according to ustomer premises access equipment
The weighted sum of corresponding significance level；The wherein described preset condition is：The single user's end equipment that can not be communicated first is excluded one by one
Failure, until single user's end equipment trial exclude the frequency of failure reach preset times, when the use one by one to that can not communicate
There are the events for when at least one ustomer premises access equipment communicated, ceasing attempt to exclude to communicate after family end equipment is excluded
Barrier, and enter subsequent step, and if attempting the failure for excluding to communicate failure, cease attempt to the event for excluding to communicate
Barrier, and then exit and terminate；In step s 4, big data information processing centre is called according to the evaluation coefficient of ustomer premises access equipment
Comparison module and evaluation coefficient look-up table therein, and obtain the threshold value in evaluation coefficient look-up table；In step s 5, work as evaluation
When one or more of coefficient is more than threshold value, step S7 is continued to；In step s 6, when evaluation coefficient is all less than threshold
When value, big data information processing centre waits for the triggering of the backup request of M ustomer premises access equipment；When in M ustomer premises access equipment
When one or more starts the triggering of backup request, step S7 is continued to；In the step s 7, system is evaluated in judgment step S5
Number is more than the ustomer premises access equipment of the triggering of startup backup request in the number or judgment step S6 of the ustomer premises access equipment of threshold value
Number；When number is 1, the processor of big data information processing centre is set available readable storage medium storing program for executing as the user terminal
The correspondence resource backup of standby information；And when number is multiple, judge that the information processing capability of big data information processing centre is
The no needs for meeting the ustomer premises access equipment for needing to back up；In step s 8, when number is multiple and meets the user for needing to back up
When needing of end equipment, according to the sequence of evaluation coefficient from high to low, the processor of big data information processing centre will be available
Correspondence resource backup of the readable storage medium storing program for executing as the ustomer premises access equipment information；When number is multiple and is unsatisfactory for needing to back up
When needing of ustomer premises access equipment, the sequence of the processor of big data information processing centre according to evaluation coefficient from high to low, according to
The maximum backup capabilities that resource backup can be provided, the forward ustomer premises access equipment of selected and sorted, by available readable storage medium storing program for executing
As the correspondence resource backup of the ustomer premises access equipment information, for the data of remaining ustomer premises access equipment, into delay circuit and
Buffer is stored；And when there are available readable storage medium storing program for executing, the temporal data of delay disposal is sequentially stored in readable
Storage medium；And in step s 9, when a plurality of clients equipment needs, big data information processing centre is to a plurality of clients
Equipment carries out the recovery of data：The path for being stored in the Backup Data in readable storage medium storing program for executing is called, is created according to Backup Data
The recovery document of corresponding data will be stored in the recovery document that Backup Data write-in creates in readable storage medium storing program for executing；It will backup
Data recovery is symbol sebolic addressing；Symbol sebolic addressing is parsed and spliced, batch data is buffered to temporary storage module by treated
In, and after determining that big data information processing centre can be communicated with corresponding ustomer premises access equipment, via data information
The data that treated is buffered in temporary storage module are sent to a plurality of clients equipment into line number by the communication interface of processing center
According to recovery.
According to another aspect of the present invention, the big data information processing centre in this method include power module, it is multiple
Readable storage medium storing program for executing.Wherein the power supply includes multiple sub- power supplys, and every sub- power supply is connected respectively to corresponding readable storage medium storing program for executing,
Sub- power supply is identical as the quantity of readable storage medium storing program for executing, wherein every sub- power supply includes with lower structure：First power transistor, source
Pole connects power supply VCC, and grid connects the output of amplification module, the corresponding readable storage medium storing program for executing of the sub- power supply of each of drain electrode connection
Power input；The output of the positive input terminal connection referrer module of the amplification module, the negative input end connection of the amplification module
The first end of the first end and resistance R12 of resistance R11；The second end of resistance R11 connect the first power transistor drain electrode and
The first end of capacitance C11；The first end of the second end connection resistance R13 of capacitance C11；The second end of resistance R13 is with resistance R12's
Second end is all grounded；In the structure of the referrer module, transistor Q11, transistor Q12, transistor Q13 source electrode be all connected to
Power supply VCC, and the grid of three all links together, the source electrode of the drain electrode connection transistor Q14 of transistor Q11, transistor Q12
Drain electrode connection transistor Q15 source electrode, the source electrode of the drain electrode connection transistor Q16 of transistor Q16, transistor Q14, transistor
Q15, transistor Q16 grid be all connected to the output end of the first power amplifier, the drain electrode of transistor Q14 is connected to resistance
The negative input end of the first end of R14 and the first power amplifier, the drain electrode of transistor Q15 be connected to the emitter of transistor Q18,
The positive input terminal of the first end of resistance R15 and the first power amplifier, the second end of resistance R14 are connected to the hair of transistor Q17
The base stage and collector of both emitter-base bandgap grading, transistor Q17 and transistor Q18 are all connected to ground.The drain electrode of transistor Q16 is connected to electricity
The second end of R15, the positive input terminal of the second power amplifier are hindered, the negative input end of the second power amplifier is connected to the second power
The output end of amplifier and the positive input terminal that amplification module is connected as the output with reference to module.Through the above structure so that
Big data information processing centre itself also stablizes, and can effectively and stably supply electric power.
According to another aspect of the present invention, transistor Q11-Q16 is PMOSFET, and transistor Q17-18 is PNP
Transistor.First power amplifier is identical as the second power amplifier model
According to another aspect of the present invention, the concrete structure of the delay circuit in step S8 is：Transistor Q21, crystal
Pipe Q24, transistor Q26, the respective source electrodes of transistor Q28 and capacitance C21 first end be connected to power supply supply voltage；Crystal
Pipe Q23, transistor Q25, the respective source electrodes of transistor Q27 transistors Q29 are connected to digital ground voltage；The grid of transistor Q21
It is connected with the data of the grid of transistor Q22 and the remaining user equipment of input, the drain electrode of transistor Q21 and transistor
The drain electrode of Q22, the second end of capacitance C21, the first end of capacitance C22, the grid of transistor Q24, transistor Q25 grid phase
Even, the source electrode of transistor Q22 is connect with the drain electrode of transistor Q23；The grid of transistor Q23 connects bias, wherein when receiving
When the order of the data input for the remaining user equipment that processor is sent out, which is triggered high level, when remaining use
The data of family equipment all by the delay circuit after, which is triggered low level；The drain electrode of transistor Q24 and crystal
The drain electrode of pipe Q25, the grid connection of the grid of transistor Q26, transistor Q27, the drain electrode of transistor Q26 is with transistor Q27's
Drain electrode, the grid connection of the second end of capacitance C22, the grid of transistor Q28, transistor Q29, drain electrode and the crystalline substance of transistor Q28
The drain electrode of body pipe Q29 connects and as the output of the delay circuit, and then is input in buffer.
According to another aspect of the present invention, transistor Q21, Q24, Q26Q28 is PMOSFET, and transistor Q22,
Q23, Q25, Q27, Q29 are NMOSFET.Transistor Q22, Q23, Q25, Q27, Q29 characteristic parameter is identical.
According to another aspect of the present invention, when one in readable storage medium storing program for executing is abnormal, corresponding detection
The data of transmission are cut into delayer while circuit sends abnormal interrupt signal to processor, and after the output of delayed device
Redundant computer readable storage medium storing program for executing is entered, processor records the backup storage of data, down times, and in the user
The data backup of end equipment carries out the supplement of breakpoint data and the information record of former and later two readable storage medium storing program for executing after finishing.
According to another aspect of the present invention, a kind of electronic data processing equipment based on big data, the device are also disclosed
Execute the method described in any of the above item.
Description of the drawings
In the accompanying drawings by way of example rather than the embodiment of the present invention, wherein phase are shown by way of limitation
Same reference numeral indicates identical element, wherein：
Fig. 1 illustrates the electronic data processing method general flow charts based on big data.
Specific implementation mode
In the following description, refer to the attached drawing and several specific embodiments are diagrammatically shown.It will be appreciated that：
It is contemplated that and other embodiment can be made without departing from the scope of the present disclosure or spirit.Therefore, described in detail below should not be by
Think in a limiting sense.
According to an embodiment of the invention, a kind of electronic data processing method based on big data includes：At big data information
Reason center obtains the state of a plurality of clients equipment, and big data information processing centre determines the priority of a plurality of clients equipment,
The storage that big data information processing centre carries out data according to the priority of a plurality of clients equipment is backed up, and is set in a plurality of clients
For when needing, big data information processing centre carries out a plurality of clients equipment the recovery of data.
Specifically, according to an embodiment of the invention, Fig. 1 illustrates the electronic data processing method flows based on big data
Schematic diagram includes the following steps：
In step sl, big data information processing centre attempts and M use by its internal communication interface, via link
Whether family end equipment is communicated, can be logical into row information between big data information processing centre and M ustomer premises access equipment to confirm
Letter；Wherein M is greater than the positive integer equal to 2；
In step s 2, when big data information processing centre and M ustomer premises access equipment can communicate, big number
The value-at-risk and the corresponding significance level of M ustomer premises access equipment of M ustomer premises access equipment are obtained according to information processing centre, and are carried out
It calculates to obtain the evaluation coefficient of M ustomer premises access equipment, and determines the priority of M ustomer premises access equipment according to the evaluation coefficient,
And the first sequence is carried out to M ustomer premises access equipment；When the forward evaluation coefficient that sorts is higher than default extreme value, corresponding user is judged
Risk factor residing for end equipment is located at state of necessity, to prevent the wrong number judged and prevent resource occupation and ustomer premises access equipment
According to damage, reacquires the value-at-risk of the ustomer premises access equipment and the corresponding significance level of the ustomer premises access equipment and calculate this
The evaluation coefficient of ustomer premises access equipment is directly entered step S8 if still critical；Otherwise proceed to step S4；
In step s3, when big data information processing centre and N number of in M ustomer premises access equipment cannot be led into row information
When letter, the failure for excluding to communicate is attempted, until meeting preset condition；When only there are one ustomer premises access equipment can be into row information
When communication, the value-at-risk and the corresponding significance level of the ustomer premises access equipment of the ustomer premises access equipment that can be communicated are obtained, and
It is calculated to obtain the evaluation coefficient of the ustomer premises access equipment, then immediately proceeds to step S5；And working as has a plurality of clients equipment
When can communicate, the value-at-risk for a plurality of clients equipment that can be communicated and multiple ustomer premises access equipment are obtained
Corresponding significance level, and calculated to obtain the evaluation coefficient of multiple ustomer premises access equipment, and it is true according to the evaluation coefficient
The priority of fixed multiple ustomer premises access equipment, and the second sequence is carried out to multiple ustomer premises access equipment；And continue to step
S4；Wherein N is less than the positive integer equal to M；Wherein value-at-risk refers to be easy to causeing the index of data corruption, and significance level is
Refer to the necessary index that ustomer premises access equipment data record big data information processing centre, and evaluation coefficient is according to user
The weighted sum of the value-at-risk of end equipment significance level corresponding with the ustomer premises access equipment；The wherein described preset condition is：First one by one
The failure for excluding the single user's end equipment that can not be communicated reaches pre- until the trial of single user's end equipment excludes the frequency of failure
If number, there are at least one ustomer premises access equipments communicated after being excluded one by one to the ustomer premises access equipment that can not be communicated
When, the failure for excluding to communicate is ceased attempt to, and enter subsequent step, and lost if attempting the failure for excluding to communicate
It loses, then ceases attempt to the failure for excluding to communicate, and then exit and terminate；
In step s 4, big data information processing centre calls comparison therein according to the evaluation coefficient of ustomer premises access equipment
Module and evaluation coefficient look-up table, and obtain the threshold value in evaluation coefficient look-up table；
In step s 5, when one or more of evaluation coefficient is more than threshold value, step S7 is continued to；
In step s 6, when evaluation coefficient is all less than threshold value, big data information processing centre waits for M user terminal to set
The triggering of standby backup request；When one or more of M ustomer premises access equipment starts the triggering of backup request, continue
To step S7；
In the step s 7, in judgment step S5 evaluation coefficient be more than threshold value ustomer premises access equipment number, or judge step
Start the number of the ustomer premises access equipment of the triggering of backup request in rapid S6；When number is 1, the place of big data information processing centre
Device is managed using available readable storage medium storing program for executing as the correspondence resource backup of the ustomer premises access equipment information；And when number is multiple,
Judge whether the information processing capability of big data information processing centre meets the needs for the ustomer premises access equipment for needing to back up；
In step s 8, when the needing of ustomer premises access equipment that number is multiple and satisfaction needs back up, it is according to evaluation
The sequence of number from high to low, the processor of big data information processing centre are set available readable storage medium storing program for executing as the user terminal
The correspondence resource backup of standby information；When number is multiple and is unsatisfactory for when the needing of ustomer premises access equipment for needing to back up, big data
Sequence of the processor of information processing centre according to evaluation coefficient from high to low, the maximum backup that can be provided according to resource backup
Ability, the forward ustomer premises access equipment of selected and sorted, using available readable storage medium storing program for executing as the correspondence of the ustomer premises access equipment information
Resource backup stores the data of remaining ustomer premises access equipment into delay circuit and buffer；And it is available existing
Readable storage medium storing program for executing when, the temporal data of delay disposal is sequentially stored in readable storage medium storing program for executing；And
In step s 9, when a plurality of clients equipment needs, big data information processing centre is to a plurality of clients equipment
Carry out the recovery of data：The path for being stored in the Backup Data in readable storage medium storing program for executing is called, is created and is corresponded to according to Backup Data
The recovery document of data will be stored in the recovery document that Backup Data write-in creates in readable storage medium storing program for executing；By Backup Data
It is restored to symbol sebolic addressing；Symbol sebolic addressing is parsed and spliced, by treated, batch data is buffered in temporary storage module, and
And after determining that big data information processing centre can be communicated with corresponding ustomer premises access equipment, via in processing data information
The data that treated is buffered in temporary storage module are sent to a plurality of clients equipment and carry out the extensive of data by the communication interface of the heart
It is multiple.
By above step, it is capable of the occupancy of optimized processor and storage resource, improves electronic data processing efficiency, reduces
Power consumption reasonably carries out scheduling of resource and distribution.
Preferably, in order to enable big data information processing centre itself also stablizes, electric power can be effectively and stably supplied,
It can delay the backup of data in time when accident and exception occur for big data information processing centre, and ensure readable
The stable storage of storage medium, the big data information processing centre in this method includes power module, multiple readable storage medium storing program for executing.
Wherein the power supply includes multiple sub- power supplys, and every sub- power supply is connected respectively to corresponding readable storage medium storing program for executing, sub- power supply with it is readable
The quantity of storage medium is identical, wherein every sub- power supply includes with lower structure：First power transistor, source electrode connect power supply
VCC, grid connect the output of amplification module, the power input of the corresponding readable storage medium storing program for executing of the sub- power supply of each of drain electrode connection
End；The output of the positive input terminal connection referrer module of the amplification module, the of the negative input end connection resistance R11 of the amplification module
The first end of one end and resistance R12；The second end of resistance R11 connect the first power transistor drain electrode and capacitance C11 the
One end；The first end of the second end connection resistance R13 of capacitance C11；The second end of resistance R13 and the second end of resistance R12 all connect
Ground；In the structure of the referrer module, transistor Q11, transistor Q12, transistor Q13 source electrode be all connected to power supply VCC, and
The grid of three all links together, the source electrode of the drain electrode connection transistor Q14 of transistor Q11, the drain electrode connection of transistor Q12
The source electrode of transistor Q15, the source electrode of the drain electrode connection transistor Q16 of transistor Q16, transistor Q14, transistor Q15, transistor
The grid of Q16 is all connected to the output end of the first power amplifier, and the drain electrode of transistor Q14 is connected to the first end of resistance R14
With the negative input end of the first power amplifier, the drain electrode of transistor Q15 be connected to the emitter of transistor Q18, resistance R15
The positive input terminal of one end and the first power amplifier, the second end of resistance R14 are connected to the emitter of transistor Q17, transistor
The base stage and collector of both Q17 and transistor Q18 is all connected to ground.The drain electrode of transistor Q16 is connected to the second of resistance R15
It holds, the positive input terminal of the second power amplifier, the negative input end of the second power amplifier is connected to the defeated of the second power amplifier
Outlet and the positive input terminal that amplification module is connected as the output with reference to module.Through the above structure so that big data information
Processing center itself is also stablized, and electric power can be effectively and stably supplied.
Preferably, transistor Q11-Q16 is PMOSFET, and transistor Q17-18 is PNP transistor.
Preferably, first power amplifier is identical as the second power amplifier model.
Preferably, the concrete structure of the delay circuit in step S8 is：Transistor Q21, transistor Q24, transistor Q26,
The first end of the respective source electrodes of transistor Q28 and capacitance C21 are connected to power supply supply voltage；Transistor Q23, transistor Q25,
The respective source electrodes of transistor Q27 transistors Q29 are connected to digital ground voltage；The grid of the grid and transistor Q22 of transistor Q21
And the data of the remaining user equipment of input are connected, the drain electrode of transistor Q21 and the drain electrode of transistor Q22, capacitance C21
Second end, the first end of capacitance C22, the grid of transistor Q24, transistor Q25 grid be connected, the source electrode of transistor Q22 with
The drain electrode of transistor Q23 connects；The grid of transistor Q23 connects bias, wherein when the remaining use for receiving processor and sending out
When the order of the data input of family equipment, which is triggered high level, when the data of remaining user equipment all pass through
After the delay circuit, which is triggered low level；The drain electrode of transistor Q24 and drain electrode, the transistor of transistor Q25
The grid connection of the grid of Q26, transistor Q27, the drain electrode of transistor Q26 and the drain electrode of transistor Q27, capacitance C22 second
The grid connection at end, the grid of transistor Q28, transistor Q29, the drain electrode of transistor Q28 are connect simultaneously with the drain electrode of transistor Q29
As the output of the delay circuit, and then it is input in buffer.
Preferably, transistor Q21, Q24, Q26Q28 is PMOSFET, and transistor Q22, Q23, Q25, Q27, Q29 are equal
For NMOSFET.
Preferably, transistor Q22, Q23, Q25, Q27, Q29 characteristic parameters are identical.
Preferably, in order to enable big data information processing centre occur accident and it is abnormal when can be divided again in time
With with store again, above method further comprises：When one in readable storage medium storing program for executing is abnormal, corresponding detection electricity
The data of transmission are cut into delayer while road direction processor sends abnormal interrupt signal, and the output of delayed device is laggard
Enter to redundant computer readable storage medium storing program for executing, the backup storage of processor record data, down times, and in the user terminal
The data backup of equipment carries out the supplement of breakpoint data and the information record of former and later two readable storage medium storing program for executing after finishing.
According to an embodiment of the invention, the invention also includes a kind of electronic data processing equipment based on big data, the dresses
It sets and executes above each method, and include communication interface, processor, multiple readable storage medium storing program for executing, power module compares mould
Block, detection circuit, delay circuit, delayer, redundant computer readable storage medium storing program for executing, buffer, temporary storage module.
To sum up, in the inventive solutions, by using a kind of electronic data processing method based on big data and
Device, this method include：Big data information processing centre obtains the state of a plurality of clients equipment, big data information processing centre
Determine the priority of a plurality of clients equipment, big data information processing centre is according to the priority of a plurality of clients equipment into line number
According to storage backup, when a plurality of clients equipment needs, big data information processing centre is to a plurality of clients equipment into line number
According to recovery.And then it is capable of the occupancy of optimized processor and storage resource, electronic data processing efficiency is improved, electric power is reduced and disappears
Consumption reasonably carries out scheduling of resource and distribution, and ensures the stable storage of readable storage medium storing program for executing, big data information processing centre
Itself also stablize, can effectively and stably supply electric power, when accident and exception occur for big data information processing centre
It can delay the backup of data in time, and carry out reallocating and storing again in time.
Node as described herein can be back end in general sense understood by one of ordinary skill in the art.In addition,
The node may also include but be not limited to the modules such as processor, controller, volatibility and or nonvolatile memory.
It will be appreciated that：The example and reality of the present invention can be realized in the form of the combination of hardware, software or hardware and software
Apply example.As described above, any main body for executing this method can be stored, in the form of volatile or non-volatile storage, such as
Storage device, as ROM, no matter it is erasable or rewritable whether, or in the form of a memory, such as RAM, storage core
Piece, equipment or integrated circuit or on the readable medium of light or magnetic, such as CD, DVD, disk or tape.It will be appreciated that：
Storage device and storage medium are suitable for storing the example of the machine readable storage of one or more programs, upon being performed,
One or more of programs realize the example of the present invention.Via any medium, such as it is loaded with by wired or wireless connection
Signal of communication can electronically transmit the example of the present invention, and example includes suitably identical content.
It should be noted that：Because the present invention solves the occupancy of optimized processor and storage resource, electronic data is improved
Treatment effeciency reduces power consumption, reasonably carries out scheduling of resource and distribution, and ensure that the stabilization of readable storage medium storing program for executing is deposited
Storage, big data information processing centre itself also stablizes, and can effectively and stably supply electric power, in big data information processing centre
It can delay the backup of data when generation accident and exception in time, and the technology that in time reallocate and store again is asked
Topic uses technical staff in information technology field and instructs technology hand to understand according to it after reading this description
Section, and the occupancy of optimized processor and storage resource is obtained, electronic data processing efficiency is improved, reduces power consumption, rationally
Ground carries out scheduling of resource and distribution, and ensures the stable storage of readable storage medium storing program for executing, big data information processing centre itself
Stablize, can effectively and stably supply electric power, big data information processing centre occur accident and it is abnormal when can and
When delay the backups of data, and the advantageous effects reallocated and stored again are carried out in time, so in appended claims
In be claimed scheme belong to the technical solution on patent law purposes.In addition, because the skill that appended claims are claimed
Art scheme can be made or used in industry, therefore the program has practicability.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, the change or replacement that can be readily occurred in,
Should all it forgive within protection scope of the present invention.Unless being otherwise expressly recited, otherwise disclosed each feature is only
Equivalent or similar characteristics a example for general series.Therefore, protection scope of the present invention should be with the guarantor of claims
It protects subject to range.
Claims (10)
1. a kind of electronic data processing method based on big data, including：
Big data information processing centre obtains the state of a plurality of clients equipment, and big data information processing centre determines multiple users
The priority of end equipment, the storage that big data information processing centre carries out data according to the priority of a plurality of clients equipment are standby
Part, when a plurality of clients equipment needs, big data information processing centre carries out a plurality of clients equipment the recovery of data.
2. the electronic data processing method based on big data as described in claim 1, further comprises the steps：
In step sl, big data information processing centre attempts and M user terminal by its internal communication interface, via link
Whether equipment is communicated, can be communicated between big data information processing centre and M ustomer premises access equipment with confirming；Its
Middle M is greater than the positive integer equal to 2；
In step s 2, when big data information processing centre and M ustomer premises access equipment can communicate, big data letter
It ceases processing center and obtains the value-at-risk and the corresponding significance level of M ustomer premises access equipment of M ustomer premises access equipment, and calculated
To obtain the evaluation coefficient of M ustomer premises access equipment, and determine according to the evaluation coefficient priority of M ustomer premises access equipment, and to M
A ustomer premises access equipment carries out the first sequence；When the forward evaluation coefficient that sorts is higher than default extreme value, judge that corresponding user terminal is set
Standby residing risk factor is located at state of necessity, to prevent mistake from judging and preventing the data of resource occupation and ustomer premises access equipment from damaging
Ruin, reacquire the ustomer premises access equipment value-at-risk and the corresponding significance level of the ustomer premises access equipment and calculate obtain the user
The evaluation coefficient of end equipment is directly entered step S8 if still critical；Otherwise proceed to step S4；
In step s3, when big data information processing centre and N number of in M ustomer premises access equipment cannot communicate
When, the failure for excluding to communicate is attempted, until meeting preset condition；When only there are one ustomer premises access equipments to lead into row information
When letter, the value-at-risk and the corresponding significance level of the ustomer premises access equipment of the ustomer premises access equipment that can be communicated are obtained, is gone forward side by side
Row is calculated to obtain the evaluation coefficient of the ustomer premises access equipment, then immediately proceeds to step S5；And working as has a plurality of clients equipment can
When communicating, the value-at-risk for a plurality of clients equipment that can be communicated and multiple ustomer premises access equipment pair are obtained
The significance level answered, and calculated to obtain the evaluation coefficient of multiple ustomer premises access equipment, and determined according to the evaluation coefficient
The priority of multiple ustomer premises access equipment, and the second sequence is carried out to multiple ustomer premises access equipment；And continue to step S4；
Wherein N is less than the positive integer equal to M；Wherein value-at-risk refers to be easy to causeing the index of data corruption, and significance level refers to
The necessary index that ustomer premises access equipment data record big data information processing centre, and evaluation coefficient is according to user terminal
The weighted sum of the value-at-risk of equipment significance level corresponding with the ustomer premises access equipment；The wherein described preset condition is：First arrange one by one
Except the failure for the single user's end equipment that can not be communicated, reach default until the trial of single user's end equipment excludes the frequency of failure
Number, there are at least one ustomer premises access equipments communicated after being excluded one by one to the ustomer premises access equipment that can not be communicated
When, the failure for excluding to communicate is ceased attempt to, and enter subsequent step, and lost if attempting the failure for excluding to communicate
It loses, then ceases attempt to the failure for excluding to communicate, and then exit and terminate；
In step s 4, big data information processing centre calls comparison module therein according to the evaluation coefficient of ustomer premises access equipment
With evaluation coefficient look-up table, and the threshold value in evaluation coefficient look-up table is obtained；
In step s 5, when one or more of evaluation coefficient is more than threshold value, step S7 is continued to；
In step s 6, when evaluation coefficient is all less than threshold value, big data information processing centre M ustomer premises access equipment of waiting
The triggering of backup request；When one or more of M ustomer premises access equipment starts the triggering of backup request, step is continued to
Rapid S7；
In the step s 7, number or judgment step S6 of the evaluation coefficient more than the ustomer premises access equipment of threshold value in judgment step S5
The number of the ustomer premises access equipment of the middle triggering for starting backup request；When number is 1, the processor of big data information processing centre
Using available readable storage medium storing program for executing as the correspondence resource backup of the ustomer premises access equipment information；And when number is multiple, judge
Whether the information processing capability of big data information processing centre meets the needs for the ustomer premises access equipment for needing to back up；
In step s 8, when number is multiple and meets and needs when the needing of ustomer premises access equipment backed up, according to evaluation coefficient from
The processor of high to Low sequence, big data information processing centre is believed available readable storage medium storing program for executing as the ustomer premises access equipment
The correspondence resource backup of breath；When number is multiple and is unsatisfactory for when the needing of ustomer premises access equipment for needing to back up, big data information
Sequence of the processor of processing center according to evaluation coefficient from high to low, the maximum backup energy that can be provided according to resource backup
Power, the forward ustomer premises access equipment of selected and sorted are standby as the correspondence of the ustomer premises access equipment information using available readable storage medium storing program for executing
Part resource stores the data of remaining ustomer premises access equipment into delay circuit and buffer；And there are available
When readable storage medium storing program for executing, the temporal data of delay disposal is sequentially stored in readable storage medium storing program for executing；And
In step s 9, when a plurality of clients equipment needs, big data information processing centre carries out a plurality of clients equipment
The recovery of data：The path for being stored in the Backup Data in readable storage medium storing program for executing is called, corresponding data is created according to Backup Data
Recovery document, will be stored in the recovery document that the write-in of Backup Data in readable storage medium storing program for executing creates；Backup Data is restored
For symbol sebolic addressing；Symbol sebolic addressing is parsed and spliced, batch data is buffered in temporary storage module by treated, and really
After determining big data information processing centre and being communicated with corresponding ustomer premises access equipment, via processing data information center
The data that treated is buffered in temporary storage module are sent to the recovery that a plurality of clients equipment carries out data by communication interface.
3. the electronic data processing method based on big data as claimed in claim 2, wherein：
Big data information processing centre in this method includes power module, multiple readable storage medium storing program for executing, and the wherein power supply includes
Multiple sub- power supplys, every sub- power supply are connected respectively to corresponding readable storage medium storing program for executing, the quantity of sub- power supply and readable storage medium storing program for executing
It is identical, wherein every sub- power supply includes with lower structure：First power transistor, source electrode connect power supply VCC, and grid connection is put
The output of big module, the power input of the corresponding readable storage medium storing program for executing of the sub- power supply of each of drain electrode connection；The amplification module
Positive input terminal connects the output of referrer module, the first end of the negative input end connection resistance R11 of the amplification module and resistance R12's
First end；The second end of resistance R11 connects the drain electrode of the first power transistor and the first end of capacitance C11；The of capacitance C11
Two ends connect the first end of resistance R13；The second end of resistance R13 and the second end of resistance R12 are all grounded；In the referrer module
In structure, transistor Q11, transistor Q12, transistor Q13 source electrode be all connected to power supply VCC, and the grid of three all connects
Together, the source electrode of the drain electrode connection transistor Q14 of transistor Q11, the source electrode of the drain electrode connection transistor Q15 of transistor Q12,
The source electrode of the drain electrode connection transistor Q16 of transistor Q16, transistor Q14, transistor Q15, transistor Q16 grid all connect
Drain electrode to the output end of the first power amplifier, transistor Q14 is connected to the first end and the first power amplifier of resistance R14
Negative input end, the drain electrode of transistor Q15 is connected to the emitter of transistor Q18, the first end of resistance R15 and the first power and puts
The positive input terminal of big device, the second end of resistance R14 are connected to the emitter of transistor Q17, transistor Q17 and transistor Q18 two
The base stage and collector of person is all connected to ground, and the drain electrode of transistor Q16 is connected to the second end of resistance R15, the second power amplification
The negative input end of the positive input terminal of device, the second power amplifier is connected to the output end of the second power amplifier and as with reference to mould
The output of block and the positive input terminal for connecting amplification module.
4. the electronic data processing method based on big data as claimed in claim 3, wherein：
Transistor Q11-Q16 is PMOSFET, and transistor Q17-18 is PNP transistor.
5. the electronic data processing method based on big data as claimed in claim 3, wherein：
First power amplifier is identical as the second power amplifier model.
6. the electronic data processing method based on big data as described in claim 3 or 4 or 5, wherein：
The concrete structure of delay circuit in step S8 is：Transistor Q21, transistor Q24, transistor Q26, transistor Q28 are each
From source electrode and capacitance C21 first end be connected to power supply supply voltage；Transistor Q23, transistor Q25, transistor Q27 are brilliant
The respective source electrodes of body pipe Q29 are connected to digital ground voltage；The grid of transistor Q21 and the grid of transistor Q22 and input
The data of remaining user equipment are connected, drain electrode and the drain electrode of transistor Q22, the second end of capacitance C21, the electricity of transistor Q21
It is connected to hold the first end of C22, the grid of transistor Q24, the grid of transistor Q25, source electrode and the transistor Q23 of transistor Q22
Drain electrode connection；The grid of transistor Q23 connects bias, wherein when the number for receiving the remaining user equipment that processor is sent out
According to input order when, which is triggered high level, when the data of remaining user equipment all pass through the delay circuit
Later, which is triggered low level；The drain electrode and the drain electrode of transistor Q25 of transistor Q24, the grid of transistor Q26, crystalline substance
The grid of body pipe Q27 connects, drain electrode and the drain electrode of transistor Q27, the second end of capacitance C22, the transistor Q28 of transistor Q26
Grid, transistor Q29 grid connection, the drain electrode of transistor Q28 connect with the drain electrode of transistor Q29 and as the deferred telegram
The output on road, and then be input in buffer.
7. the electronic data processing method based on big data as claimed in claim 6, wherein：
Transistor Q21, Q24, Q26Q28 are PMOSFET, and transistor Q22, Q23, Q25, Q27, Q29 are NMOSFET.
8. the electronic data processing method based on big data as claimed in claim 6, wherein：
Transistor Q22, Q23, Q25, Q27, Q29 characteristic parameter is identical.
9. the electronic data processing method based on big data as claimed in claim 6, wherein this method further comprise：When can
One in storage medium is read when being abnormal, corresponding detection circuit will while sending abnormal interrupt signal to processor
The data of transmission are cut into delayer, and enter redundant computer readable storage medium storing program for executing, processor after the output of delayed device
Backup storage, the down times of data are recorded, and carry out breakpoint number after the data backup of the ustomer premises access equipment finishes
According to supplement and former and later two readable storage medium storing program for executing information record.
10. a kind of electronic data processing equipment based on big data, which executes described in any one of above claim 2-9
Method.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101394424A (en) * | 2008-10-27 | 2009-03-25 | 中国科学院计算技术研究所 | Hard disc stage network data backup system and method |
| CN104866395A (en) * | 2014-02-24 | 2015-08-26 | 中国移动通信集团福建有限公司 | Data backup method, data backup system, main-backup switching method and main-backup switching system |
| CN105242736A (en) * | 2015-10-27 | 2016-01-13 | 上海芯圣电子股份有限公司 | Auxiliary LDO circuit and switching supply circuit |
| CN105322786A (en) * | 2014-07-01 | 2016-02-10 | 王帅 | DC-DC converter |
| WO2016183967A1 (en) * | 2015-05-19 | 2016-11-24 | 中兴通讯股份有限公司 | Failure alarm method and apparatus for key component, and big data management system |
| CN107135097A (en) * | 2017-04-14 | 2017-09-05 | 北京金融资产交易所有限公司 | The disaster tolerance system and disaster recovery method filed based on bookkeeping |
| CN107145407A (en) * | 2017-05-16 | 2017-09-08 | 成都汇智远景科技有限公司 | A kind of method that data are carried out with local backup |
| CN107249035A (en) * | 2017-06-28 | 2017-10-13 | 重庆大学 | A kind of shared repeated data storage of hierarchical dynamically changeable and reading mechanism |
-
2018
- 2018-03-23 CN CN201810245715.1A patent/CN108733511B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101394424A (en) * | 2008-10-27 | 2009-03-25 | 中国科学院计算技术研究所 | Hard disc stage network data backup system and method |
| CN104866395A (en) * | 2014-02-24 | 2015-08-26 | 中国移动通信集团福建有限公司 | Data backup method, data backup system, main-backup switching method and main-backup switching system |
| CN105322786A (en) * | 2014-07-01 | 2016-02-10 | 王帅 | DC-DC converter |
| WO2016183967A1 (en) * | 2015-05-19 | 2016-11-24 | 中兴通讯股份有限公司 | Failure alarm method and apparatus for key component, and big data management system |
| CN105242736A (en) * | 2015-10-27 | 2016-01-13 | 上海芯圣电子股份有限公司 | Auxiliary LDO circuit and switching supply circuit |
| CN107135097A (en) * | 2017-04-14 | 2017-09-05 | 北京金融资产交易所有限公司 | The disaster tolerance system and disaster recovery method filed based on bookkeeping |
| CN107145407A (en) * | 2017-05-16 | 2017-09-08 | 成都汇智远景科技有限公司 | A kind of method that data are carried out with local backup |
| CN107249035A (en) * | 2017-06-28 | 2017-10-13 | 重庆大学 | A kind of shared repeated data storage of hierarchical dynamically changeable and reading mechanism |
Non-Patent Citations (1)
| Title |
|---|
| 张地 等: "基于双活数据中心的电商平台网站数据保护及灾备恢复策略研究", 《网络安全技术与应用》 * |
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