CN112650652B - High-stability and large-capacity solid state disk processing method and system - Google Patents

High-stability and large-capacity solid state disk processing method and system Download PDF

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CN112650652B
CN112650652B CN202110059295.XA CN202110059295A CN112650652B CN 112650652 B CN112650652 B CN 112650652B CN 202110059295 A CN202110059295 A CN 202110059295A CN 112650652 B CN112650652 B CN 112650652B
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change information
read
performance evaluation
state
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CN112650652A (en
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李修录
尹善腾
朱小聪
吴健全
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Axd Anxinda Memory Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3037Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3058Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment

Abstract

The invention relates to the technical field of mSATA solid state disk optimization and data processing, and discloses a solid state disk processing method and system based on high stability and large capacity. The method comprises the steps of firstly, carrying out compatible design on the same flexible circuit board of the mSATA solid hard disk to obtain hard disk temperature change information and read-write state change information in the mSATA solid hard disk, analyzing the hard disk temperature change information and the read-write state change information to obtain a corresponding performance evaluation correlation identification result and a corresponding change information correlation identification result, thus determining state adjustment indication information in the mSATA solid hard disk and target performance evaluation information corresponding to the state adjustment indication information, adjusting the running state of the mSATA solid hard disk, enabling the mSATA solid hard disk to stably run in a large temperature span range (-40 ℃ to +90 ℃), realizing the application of the mSATA solid hard disk in a common consumer market, and realizing the application of the mSATA solid hard disk in industry and equipment.

Description

High-stability and large-capacity solid state disk processing method and system
Technical Field
The invention relates to the technical field of mSATA solid state disk optimization and data processing, in particular to a solid state disk processing method and system based on high stability and large capacity.
Background
In the storage device industry, with the rapid development of technology, the read-memory capacity is the key to measure the progress of technology or products, and therefore, it is very necessary to develop a solid state disk having a large capacity and capable of stably operating in a severe environment. However, the capacity of the common mSATA solid state disk is low and stable operation at a large temperature span is difficult.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides a solid state disk processing method and system based on high stability and large capacity.
In a first aspect, a method for processing a solid state disk based on high stability and large capacity is provided, where the method is used to process a sata solid state disk, where the sata solid state disk is designed to be compatible with a same flexible circuit board to increase capacity, and the method includes:
acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk;
based on a change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result;
determining read-write state change information with abnormal association identification as read-write state change information to be processed, and determining solid state disk performance evaluation information matched with the read-write state change information to be processed according to change information state indexes between the read-write state change information in the change information association identification result and the read-write state change information to be processed;
performing correlation identification on the performance evaluation information of the solid state disk matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result;
and determining state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information according to the performance evaluation association identification result and the change information association identification result, and adjusting the running state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information.
Optionally, the acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk includes:
acquiring at least two pieces of hard disk temperature record information and at least two pieces of read-write state record information in the mSATA solid state hard disk;
acquiring a difference comparison result corresponding to the temperature record state index and the hard disk temperature record information between the at least two pieces of hard disk temperature record information, and acquiring a difference comparison result corresponding to the read-write record state index and the read-write state record information between the at least two pieces of read-write state record information;
integrating the temperature record information of the at least two hard disks according to the temperature record state index and the difference comparison result corresponding to the temperature record information of the hard disks to obtain the temperature change information of the hard disks in the mSATA solid state hard disk; the hard disk temperature change information comprises at least two hard disk temperature record information;
integrating the at least two pieces of read-write state record information according to the read-write state index and the difference comparison result corresponding to the read-write state record information to obtain read-write state change information in the mSATA solid state disk; one read-write state change information comprises at least two read-write state record information;
wherein, the performing correlation identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state disk based on the change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state disk to obtain a change information correlation identification result includes:
determining the read-write state change information in the mSATA solid state disk as dynamic read-write state change information, and determining the hard disk temperature change information in the mSATA solid state disk as dynamic hard disk temperature change information; reading and writing state recording information in the dynamic reading and writing state change information is collected from target monitoring recording information aiming at the mSATA solid state disk;
acquiring hard disk temperature record information in the target monitoring record information; determining a record information state index between hard disk temperature record information in the target monitoring record information and hard disk temperature record information in the dynamic hard disk temperature change information as a change information registration result between the dynamic read-write state change information and the dynamic hard disk temperature change information;
and when the information registration rate corresponding to the change information registration result is greater than or equal to the registration result threshold, performing correlation identification on the dynamic read-write state change information and the dynamic hard disk temperature change information to obtain a change information correlation identification result.
Optionally, the read-write state change information to be processed includes local read-write state record information in the mSATA solid state disk; the number of the change information correlation identification results is at least two; reading and writing state change information in each change information correlation identification result respectively comprises global reading and writing state record information in the mSATA solid state disk; the determining, according to a change information state index between the read-write state change information in the change information correlation identification result and the read-write state change information to be processed, the performance evaluation information of the solid state disk matched with the read-write state change information to be processed, includes:
acquiring local change information description content of the read-write state change information to be processed according to the local read-write state record information; respectively acquiring global change information description contents of the read-write state change information in each change information correlation identification result according to the global read-write state record information included in each change information correlation identification result;
obtaining a description content matching result between the local change information description content and the global change information description content corresponding to each change information correlation identification result;
determining a change information state index between the read-write state change information in each change information correlation identification result and the read-write state change information to be processed respectively according to the description content matching result to which each change information correlation identification result belongs;
when the number of target change information correlation identification results is larger than a first set threshold and smaller than or equal to a second set threshold, determining the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification results as the solid state disk performance evaluation information matched with the read-write state change information to be processed; the target change information correlation identification result refers to a change information correlation identification result of which the state index aging level corresponding to the change information state index is greater than or equal to a preset aging level threshold value.
Optionally, the number of the recording information of the local read-write state recording information is at least two; the obtaining of the local change information description content of the read-write state change information to be processed according to the local read-write state recording information includes:
acquiring recording information description contents corresponding to each local read-write state recording information in at least two local read-write state recording information respectively;
acquiring first data abnormal description contents corresponding to the at least two local read-write state recording information according to the recording information description contents corresponding to each local read-write state recording information;
and determining the first data abnormal description content as the local change information description content.
Optionally, the at least two change information association identification results include an nth change information association identification result, where n is a positive integer smaller than or equal to the total number of the at least two change information association identification results; the number of the global read-write state record information included in the nth change information correlation identification result is at least two; the step of respectively obtaining the global change information description content of the read-write state change information in each change information association identification result according to the global read-write state record information included in each change information association identification result includes:
acquiring record information description contents corresponding to each global read-write state record information in at least two global read-write state record information included in the nth change information correlation identification result;
acquiring second data abnormal description contents corresponding to the at least two pieces of global read-write state recording information according to the recording information description contents corresponding to each piece of global read-write state recording information;
and determining the second data abnormal description content as the global change information description content of the read-write state change information in the nth change information correlation identification result.
Optionally, the number of the read-write state change information to be processed is at least two; the method further comprises the following steps:
when the number of the target change information correlation identification results is less than or equal to the first set threshold, respectively determining the change information correlation identification result where the read-write state change information with the largest state index evaluation value corresponding to the change information state index between each piece of read-write state change information to be processed is located as the to-be-processed correlation identification result corresponding to each piece of read-write state change information to be processed;
respectively determining the performance evaluation information of the solid state disk contained in the hard disk temperature change information in the to-be-processed correlation identification result corresponding to each piece of to-be-processed read-write state change information as the performance evaluation information of the to-be-processed solid state disk corresponding to each piece of to-be-processed read-write state change information;
determining at least two performance evaluation information weights corresponding to the performance evaluation information to be determined according to the performance evaluation information of the solid state disk to be processed corresponding to each piece of read-write state change information to be processed;
acquiring a first statistical result of the at least two performance evaluation information weights in the solid state disk performance evaluation information contained in the hard disk temperature change information of the at least two change information correlation identification results; determining a first target performance evaluation information weight of each piece of read-write state change information to be processed aiming at the performance evaluation information to be determined according to the first statistical result;
determining the to-be-determined performance evaluation information respectively having a first target performance evaluation information weight corresponding to each to-be-processed read-write state change information as the solid state disk performance evaluation information matched with each to-be-processed read-write state change information; and a second statistical result of the at least two performance evaluation information weights in the performance evaluation information of the solid state disk matched with each piece of read-write state change information to be processed corresponds to the first statistical result.
Optionally, the method further includes:
when the number of the target change information correlation identification results is larger than the second set threshold, counting the accumulated use times of at least two performance evaluation information weights of the performance evaluation information to be determined in the solid state disk performance evaluation information contained in the hard disk temperature record information of the target change information correlation identification results; the at least two performance evaluation information weights are determined according to the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification result;
determining a second target performance evaluation information weight of the read-write state change information to be processed aiming at the performance evaluation information to be determined from the at least two performance evaluation information weights according to a change information state index between the read-write state change information to be processed and the target change information correlation identification result and the accumulated use times;
and determining the performance evaluation information to be determined with the second target performance evaluation information weight as the performance evaluation information of the solid state disk matched with the read-write state change information to be processed.
Optionally, the method further includes:
determining the solid state disk performance evaluation information contained in the hard disk temperature change information in the change information correlation identification result as the solid state disk performance evaluation information contained in the change information correlation identification result;
determining the change information correlation identification result and the performance evaluation correlation identification result as a dynamic correlation identification result in the mSATA solid state disk;
determining the performance evaluation information of the solid state disk contained in the dynamic correlation identification result as target performance evaluation information of the solid state disk;
adding the same state change label to the target solid state disk performance evaluation information and the read-write state change information in the dynamic correlation identification result;
respectively inputting the performance evaluation information of the target solid state disk with the state change label into a preset convolutional neural network, a preset forward feedback network and a preset Hopfield network; the time consumption for identifying the target solid state disk performance evaluation information from the preset convolutional neural network is greater than the time consumption for identifying the target solid state disk performance evaluation information from the preset feed-forward network; identifying the target solid state disk performance evaluation information from the preset feed-forward network by using time consuming time which is longer than time consuming time for identifying the target solid state disk performance evaluation information from the preset Hopfield network; the information identification loss weight of the preset convolutional neural network aiming at the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset feed-forward network aiming at the target solid state disk performance evaluation information; the information identification loss weight of the preset feed-forward network for the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset Hopfield network for the target solid state disk performance evaluation information;
the determining, according to the performance evaluation association identification result and the change information association identification result, state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information includes:
determining the state adjustment indication information in the mSATA solid state disk according to read-write state change information in the dynamic correlation identification result;
according to the state change label of the read-write state change information in the dynamic correlation identification result, obtaining the target solid state disk performance evaluation information with the state change label from the preset convolutional neural network, the preset feed-forward network or the preset Hopfield network, and determining the obtained target solid state disk performance evaluation information as the target performance evaluation information corresponding to the state adjustment indication information.
Optionally, the method further includes:
and responding to the received data destruction instruction, and destroying the data in the mSATA solid state disk.
In a second aspect, a high-stability and large-capacity-based solid state disk processing system is provided, including an electronic device and a sata solid state disk, where the electronic device is configured to process the sata solid state disk, and the sata solid state disk is configured to increase capacity by compatible design on a same flexible circuit board, where the electronic device is specifically configured to:
acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk;
based on a change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result;
determining read-write state change information with abnormal association identification as read-write state change information to be processed, and determining solid state disk performance evaluation information matched with the read-write state change information to be processed according to change information state indexes between the read-write state change information in the change information association identification result and the read-write state change information to be processed;
performing correlation identification on the performance evaluation information of the solid state disk matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result;
and determining state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information according to the performance evaluation association identification result and the change information association identification result, and adjusting the running state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects.
Firstly, the same flexible circuit board of the mSATA solid state disk is subjected to compatible design, and the capacity of the mSATA solid state disk can be improved from 1TB to 2 TB. And secondly, acquiring hard disk temperature change information and read-write state change information in the mSATA solid state disk, analyzing the hard disk temperature change information and the read-write state change information to obtain a corresponding performance evaluation correlation identification result and a change information correlation identification result, so that target performance evaluation information corresponding to state adjustment indication information and state adjustment indication information in the mSATA solid state disk can be determined, and the operation state of the mSATA solid state disk can be adjusted, so that the mSATA solid state disk can stably operate in a large temperature span interval (-40 ℃ to +90 ℃), the application of the mSATA solid state disk in a common consumer market can be realized, and the application of the mSATA solid state disk in industrial and equipment can be realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic diagram of performance parameters of a mSATA solid state disk according to the present invention.
FIG. 2 is a flow chart illustrating a method for processing a solid state disk based on high stability and large capacity according to the present invention;
fig. 3 is a schematic diagram of a communication architecture of a solid state disk processing system based on high stability and large capacity according to the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Firstly, the embodiment of the invention solves the limitation of the capacity of the traditional mSATA solid state disk, generally takes 1TB as the main point in the market, and the mSATA solid state disk of the embodiment of the invention can break through 2 TB. For example, compatible design can be performed on the same flexible circuit board, so that compatibility with different DDRs 3 is realized, and further, design of the maximum capacity of the mSATA solid state hard disk based on SM2246EN master control is realized. As shown in FIG. 1, the reading of the 2TB mSATA solid state disk can reach 553.8MB/s, and the writing can reach 433.8 MB/s.
Secondly, the embodiment of the invention improves the technical problem that the mSATA solid state disk can not stably run at-40 to +90 ℃, so that a plurality of products can not be used on industrial equipment and can only be used on the common consumer market. For convenience of describing the corresponding technical solution in detail, please refer to fig. 1, which is a schematic diagram of a solid state disk processing method based on high stability and large capacity according to the present invention, and it can be understood that the method is used for processing a sata solid state disk, and includes the following steps S21-S25 as an example.
And step S21, acquiring the hard disk temperature change information and the read-write state change information in the mSATA solid state disk. For example, the hard disk temperature change information is used for representing real-time temperature change of the mSATA solid state disk, and the read-write state change information is used for representing real-time read-write state change of the mSATA solid state disk.
Step S22, based on the change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result. For example, the change information registration result is used for representing the matching degree between the hard disk temperature change information and the read-write state change information, and the change information correlation identification result is used for performing correlation analysis on the hard disk temperature change information and the read-write state change information.
Step S23, determining the read-write state change information with abnormal association identification as the read-write state change information to be processed, and determining the solid state disk performance evaluation information matched with the read-write state change information to be processed according to the change information state index between the read-write state change information in the association identification result of the change information and the read-write state change information to be processed. For example, the change information state index is used for indicating the operation performance of the mSATA solid state disk, and the solid state disk performance evaluation information is used for representing whether the performance of the mSATA solid state disk is normal or abnormal.
And step S24, performing correlation identification on the solid state disk performance evaluation information matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result. For example, the performance evaluation association identification result is used for performing global performance evaluation on the mSATA solid state disk to determine whether the mSATA solid state disk is in a normal read-write and operating state.
Step S25, determining, according to the performance evaluation association identification result and the change information association identification result, state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information, and adjusting the operating state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information. For example, the state adjustment indication information and the target performance evaluation information are used for adjusting the operation state of the mSATA solid state disk, so that the mSATA solid state disk can stably operate in a larger temperature span interval.
Therefore, based on the above, firstly, the same flexible circuit board of the mSATA solid state disk is compatibly designed, so that the capacity of the mSATA solid state disk can be increased from 1TB to 2 TB. And secondly, acquiring hard disk temperature change information and read-write state change information in the mSATA solid state disk, analyzing the hard disk temperature change information and the read-write state change information to obtain a corresponding performance evaluation correlation identification result and a change information correlation identification result, so that target performance evaluation information corresponding to state adjustment indication information and state adjustment indication information in the mSATA solid state disk can be determined, and the operation state of the mSATA solid state disk can be adjusted, so that the mSATA solid state disk can stably operate in a large temperature span interval (-40 ℃ to +90 ℃), the application of the mSATA solid state disk in a common consumer market can be realized, and the application of the mSATA solid state disk in industrial and equipment can be realized.
In some examples, the obtaining of the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk described in step S21 may include the following steps S211 to S214.
Step S211, acquiring at least two hard disk temperature record information and at least two read-write state record information in the mSATA solid state disk;
step S212, obtaining a difference comparison result corresponding to the temperature record state index and the hard disk temperature record information between the at least two pieces of hard disk temperature record information, and obtaining a difference comparison result corresponding to the read-write record state index and the read-write record information between the at least two pieces of read-write state record information;
step S213, integrating the temperature record information of the at least two hard disks according to the difference comparison result corresponding to the temperature record state index and the temperature record information of the hard disks to obtain the temperature change information of the hard disks in the mSATA solid state hard disk; the hard disk temperature change information comprises at least two hard disk temperature record information;
step S214, according to the read-write recording state index and the difference comparison result corresponding to the read-write state recording information, integrating the at least two pieces of read-write state recording information to obtain read-write state change information in the mSATA solid state disk; one read/write state change information includes at least two read/write state record information.
Therefore, the continuity and the integrity of the temperature change information and the read-write state change information of the hard disk can be ensured.
For some possible embodiments, the performing, by the step S22, association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk based on the change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result may include the following steps S221 to S223.
Step S221, determining the read-write state change information in the mSATA solid state disk as dynamic read-write state change information, and determining the hard disk temperature change information in the mSATA solid state disk as dynamic hard disk temperature change information; and the read-write state record information in the dynamic read-write state change information is collected from target monitoring record information aiming at the mSATA solid state disk.
Step S222, acquiring hard disk temperature record information in the target monitoring record information; and determining a record information state index between hard disk temperature record information in the target monitoring record information and hard disk temperature record information in the dynamic hard disk temperature change information as a change information registration result between the dynamic read-write state change information and the dynamic hard disk temperature change information.
Step S223, when the information registration rate corresponding to the change information registration result is greater than or equal to the registration result threshold, performing association identification on the dynamic read-write state change information and the dynamic hard disk temperature change information to obtain a change information association identification result.
By the design, based on the steps S221 to S223, the temperature state and the read-write state can be dynamically fused by the change information correlation identification result, so that the accuracy of subsequent hard disk state analysis and adjustment is ensured.
In some possible examples, the to-be-processed read-write state change information includes local read-write state record information in the mSATA solid state disk; the number of the change information correlation identification results is at least two; based on that, the read-write state change information in each change information association identification result respectively includes global read-write state record information in the mSATA solid state disk, and the change information state index described in step S23 according to the read-write state change information in the change information association identification result and the read-write state change information to be processed determines the solid state disk performance evaluation information matched with the read-write state change information to be processed, which may include the contents described in the following steps S231 to S234.
Step S231, obtaining the local change information description content of the read-write state change information to be processed according to the local read-write state record information; and respectively acquiring the global change information description content of the read-write state change information in each change information correlation identification result according to the global read-write state record information included in each change information correlation identification result.
Step S232, obtaining a description content matching result between the local change information description content and the global change information description content corresponding to each change information association identification result.
Step S233, determining a change information state index between the read-write state change information in each change information correlation identification result and the read-write state change information to be processed, respectively, according to the description content matching result to which each change information correlation identification result belongs.
Step S234, when the number of the target change information correlation identification results is larger than a first set threshold and smaller than or equal to a second set threshold, determining the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification results as the solid state disk performance evaluation information matched with the read-write state change information to be processed; the target change information correlation identification result refers to a change information correlation identification result of which the state index aging level corresponding to the change information state index is greater than or equal to a preset aging level threshold value.
By the design, when the performance evaluation information of the solid state disk is determined, the timeliness of the temperature state change and the read-write state change can be fully considered, so that the time sequence synchronism of the performance evaluation information of the solid state disk is ensured.
In some possible embodiments, the number of the recording information of the local read-write state recording information is at least two, and based on this, the obtaining of the local change information description content of the read-write state change information to be processed according to the local read-write state recording information described in step S231 includes: acquiring recording information description contents corresponding to each local read-write state recording information in at least two local read-write state recording information respectively; acquiring first data abnormal description contents corresponding to the at least two local read-write state recording information according to the recording information description contents corresponding to each local read-write state recording information; and determining the first data abnormal description content as the local change information description content.
Further, the at least two change information correlation identification results include an nth change information correlation identification result, where n is a positive integer less than or equal to the total number of the at least two change information correlation identification results; based on that, the step S231 of obtaining the global change information description content of the read-write state change information in each change information association identification result according to the global read-write state record information included in each change information association identification result respectively includes: acquiring record information description contents corresponding to each global read-write state record information in at least two global read-write state record information included in the nth change information correlation identification result; acquiring second data abnormal description contents corresponding to the at least two pieces of global read-write state recording information according to the recording information description contents corresponding to each piece of global read-write state recording information; and determining the second data abnormal description content as the global change information description content of the read-write state change information in the nth change information correlation identification result.
In some embodiments, the number of the read-write state change information to be processed is at least two, and further, the method may further include the following steps S31-S35.
Step S31, when the number of the target change information correlation identification results is less than or equal to the first set threshold, determining the change information correlation identification result where the read/write state change information with the largest state index evaluation value corresponding to the change information state index between each piece of read/write state change information to be processed is located as the to-be-processed correlation identification result corresponding to each piece of read/write state change information to be processed, respectively.
Step S32, respectively determining the performance evaluation information of the solid state disk included in the hard disk temperature change information in the to-be-processed correlation identification result corresponding to each piece of to-be-processed read-write state change information as the to-be-processed solid state disk performance evaluation information corresponding to each piece of to-be-processed read-write state change information.
Step S33, determining at least two performance evaluation information weights corresponding to the to-be-determined performance evaluation information according to the to-be-processed solid state disk performance evaluation information corresponding to each to-be-processed read-write state change information.
Step S34, acquiring a first statistical result of the at least two performance evaluation information weights in the solid state disk performance evaluation information contained in the hard disk temperature change information of the at least two change information correlation identification results; and determining the weight of each piece of read-write state change information to be processed aiming at the first target performance evaluation information of the to-be-determined performance evaluation information according to the first statistical result.
Step S35, determining the to-be-determined performance evaluation information having the first target performance evaluation information weight corresponding to each to-be-processed read-write state change information, respectively, as the solid state disk performance evaluation information matched with each to-be-processed read-write state change information; and a second statistical result of the at least two performance evaluation information weights in the performance evaluation information of the solid state disk matched with each piece of read-write state change information to be processed corresponds to the first statistical result.
On the basis of the above, the method may further include the following steps S36-S38.
Step S36, when the number of the target change information correlation identification results is greater than the second set threshold, counting the cumulative number of times of use of at least two performance evaluation information weights of the performance evaluation information to be determined in the solid state disk performance evaluation information contained in the hard disk temperature record information of the target change information correlation identification results; and the at least two performance evaluation information weights are determined according to the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification result.
Step S37, determining, from the at least two performance evaluation information weights, a second target performance evaluation information weight of the to-be-processed read-write state change information with respect to the to-be-determined performance evaluation information according to a change information state index between the to-be-processed read-write state change information and the target change information correlation identification result and the cumulative number of times of use.
Step S38, determining the to-be-determined performance evaluation information with the second target performance evaluation information weight as the solid state disk performance evaluation information matched with the to-be-processed read-write state change information.
For some alternative embodiments, the method may further include the following steps S41-S45.
Step S41, determining the solid state disk performance evaluation information included in the hard disk temperature change information in the change information correlation identification result as the solid state disk performance evaluation information included in the change information correlation identification result.
Step S42, determining the change information correlation identification result and the performance evaluation correlation identification result as the dynamic correlation identification result in the mSATA solid state disk.
And step S43, determining the solid state disk performance evaluation information included in the dynamic association identification result as target solid state disk performance evaluation information.
Step S44, adding the same state change label to the target solid state disk performance evaluation information and the read-write state change information in the dynamic association identification result.
Step S45, inputting the target solid state disk performance evaluation information with the state change label to a preset convolutional neural network, a preset feed-forward network, and a preset hopphil network, respectively.
In step S45, the time consumption for identifying the target solid state disk performance evaluation information from the preset convolutional neural network is greater than the time consumption for identifying the target solid state disk performance evaluation information from the preset feed-forward network; identifying the target solid state disk performance evaluation information from the preset feed-forward network by using time consuming time which is longer than time consuming time for identifying the target solid state disk performance evaluation information from the preset Hopfield network; the information identification loss weight of the preset convolutional neural network aiming at the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset feed-forward network aiming at the target solid state disk performance evaluation information; and the information identification loss weight of the preset feed-forward network for the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset Hopfield network for the target solid state disk performance evaluation information.
On the basis of the above, the determining, according to the performance evaluation association identification result and the change information association identification result, of the target performance evaluation information corresponding to the state adjustment indication information and the state adjustment indication information in the mSATA solid state disk, which is described in step S25, includes: determining the state adjustment indication information in the mSATA solid state disk according to read-write state change information in the dynamic correlation identification result; according to the state change label of the read-write state change information in the dynamic correlation identification result, obtaining the target solid state disk performance evaluation information with the state change label from the preset convolutional neural network, the preset feed-forward network or the preset Hopfield network, and determining the obtained target solid state disk performance evaluation information as the target performance evaluation information corresponding to the state adjustment indication information. Therefore, accurate determination of the state adjustment indication information and the corresponding target performance evaluation information can be achieved based on different neural networks.
Further, the step S25 of adjusting the operation state of the mSATA solid state disk based on the state adjustment instruction information and the target performance evaluation information may be adjusting the read-write speed or the read-write response period of the mSATA solid state disk, so that the mSATA solid state disk can adapt to an actual temperature environment, and the deviation caused by the influence of temperature on the read-write process is avoided, thereby ensuring stable operation of the mSATA solid state disk.
On the basis of the above, an intelligent destruction function is also customized for the mSATA solid state disk, and based on this, the method further includes: and responding to the received data destruction instruction, and destroying the data in the mSATA solid state disk. For example, a function of intelligent destruction through a golden finger pin is defined, and an intelligent destruction function is realized by directly pulling down a level.
Further, the description of the intelligent destruction function may be as follows: the P17 on the mSATA solid state disk connector is an intelligent destruction trigger input signal (default is P17, but factory definition can be performed according to customer requirements), the intelligent destruction trigger signal is a level trigger signal, and a low level (short-circuit GND) is valid. Giving a low-level trigger pulse signal with the width exceeding 3s to P17, starting an intelligent destruction process, firstly carrying out data erasure on the whole SSD according to the difference of SSD capacity lasting for 15 s-25 s, then carrying out data (00 FF messy code data full-disk writing and secondary erasure) (or carrying out single or repeated intelligent destruction for multiple times according to customer requirements), and then carrying out power-up again on the SSD after the data destruction is finished, and entering disk management for reinitialization.
Based on the same inventive concept, please refer to fig. 3 in combination, further providing a solid state disk processing system 300 based on high stability and large capacity, including an electronic device 100 and a sata solid state disk 200, where the electronic device 100 is configured to process the sata solid state disk 200, the sata solid state disk 200 is configured to be compatible with a flexible circuit board to increase capacity, and the electronic device 100 is specifically configured to:
acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk;
based on a change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result;
determining read-write state change information with abnormal association identification as read-write state change information to be processed, and determining solid state disk performance evaluation information matched with the read-write state change information to be processed according to change information state indexes between the read-write state change information in the change information association identification result and the read-write state change information to be processed;
performing correlation identification on the performance evaluation information of the solid state disk matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result;
and determining state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information according to the performance evaluation association identification result and the change information association identification result, and adjusting the running state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information.
In summary, in the present embodiment, first, a compatible design is performed on the same flexible circuit board of the mSATA solid state disk, so that the capacity of the mSATA solid state disk can be increased from 1TB to 2 TB. And secondly, acquiring hard disk temperature change information and read-write state change information in the mSATA solid state disk, analyzing the hard disk temperature change information and the read-write state change information to obtain a corresponding performance evaluation correlation identification result and a change information correlation identification result, so that target performance evaluation information corresponding to state adjustment indication information and state adjustment indication information in the mSATA solid state disk can be determined, and the operation state of the mSATA solid state disk can be adjusted, so that the mSATA solid state disk can stably operate in a large temperature span interval (-40 ℃ to +90 ℃), the application of the mSATA solid state disk in a common consumer market can be realized, and the application of the mSATA solid state disk in industrial and equipment can be realized. Finally, an intelligent destroying function is customized, the function of intelligent destroying through the golden finger pins is defined according to the requirement of a client, and the intelligent destroying function is realized by directly pulling down the level, so that the intelligent destroying of data is realized, and the leakage of private data is avoided.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (10)

1. A high-stability and high-capacity solid state disk processing method is used for processing a mSATA solid state disk, wherein the mSATA solid state disk is compatibly designed on the same flexible circuit board to increase capacity, and the method comprises the following steps:
acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk;
based on a change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result;
determining read-write state change information with abnormal association identification as read-write state change information to be processed, and determining solid state disk performance evaluation information matched with the read-write state change information to be processed according to change information state indexes between the read-write state change information in the change information association identification result and the read-write state change information to be processed;
performing correlation identification on the performance evaluation information of the solid state disk matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result;
according to the performance evaluation association identification result and the change information association identification result, determining state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information, and adjusting the operation state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information;
the acquiring hard disk temperature change information and read-write state change information in the mSATA solid state disk includes:
acquiring at least two pieces of hard disk temperature record information and at least two pieces of read-write state record information in the mSATA solid state hard disk;
acquiring a difference comparison result corresponding to the temperature record state index and the hard disk temperature record information between the at least two pieces of hard disk temperature record information, and acquiring a difference comparison result corresponding to the read-write record state index and the read-write state record information between the at least two pieces of read-write state record information;
integrating the temperature record information of the at least two hard disks according to the temperature record state index and the difference comparison result corresponding to the temperature record information of the hard disks to obtain the temperature change information of the hard disks in the mSATA solid state hard disk; the hard disk temperature change information comprises at least two hard disk temperature record information;
integrating the at least two pieces of read-write state record information according to the read-write state index and the difference comparison result corresponding to the read-write state record information to obtain read-write state change information in the mSATA solid state disk; one read/write state change information includes at least two read/write state record information.
2. The method according to claim 1, wherein the performing correlation identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk based on the change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information correlation identification result includes:
determining the read-write state change information in the mSATA solid state disk as dynamic read-write state change information, and determining the hard disk temperature change information in the mSATA solid state disk as dynamic hard disk temperature change information; reading and writing state recording information in the dynamic reading and writing state change information is collected from target monitoring recording information aiming at the mSATA solid state disk;
acquiring hard disk temperature record information in the target monitoring record information; determining a record information state index between hard disk temperature record information in the target monitoring record information and hard disk temperature record information in the dynamic hard disk temperature change information as a change information registration result between the dynamic read-write state change information and the dynamic hard disk temperature change information;
and when the information registration rate corresponding to the change information registration result is greater than or equal to the registration result threshold, performing correlation identification on the dynamic read-write state change information and the dynamic hard disk temperature change information to obtain a change information correlation identification result.
3. The method according to claim 1, wherein the pending read/write state change information includes local read/write state record information in the mSATA solid state disk; the number of the change information correlation identification results is at least two; reading and writing state change information in each change information correlation identification result respectively comprises global reading and writing state record information in the mSATA solid state disk; the determining, according to a change information state index between the read-write state change information in the change information correlation identification result and the read-write state change information to be processed, the performance evaluation information of the solid state disk matched with the read-write state change information to be processed, includes:
acquiring local change information description content of the read-write state change information to be processed according to the local read-write state record information; respectively acquiring global change information description contents of the read-write state change information in each change information correlation identification result according to the global read-write state record information included in each change information correlation identification result;
obtaining a description content matching result between the local change information description content and the global change information description content corresponding to each change information correlation identification result;
determining a change information state index between the read-write state change information in each change information correlation identification result and the read-write state change information to be processed respectively according to the description content matching result to which each change information correlation identification result belongs;
when the number of target change information correlation identification results is larger than a first set threshold and smaller than or equal to a second set threshold, determining the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification results as the solid state disk performance evaluation information matched with the read-write state change information to be processed; the target change information correlation identification result refers to a change information correlation identification result of which the state index aging level corresponding to the change information state index is greater than or equal to a preset aging level threshold value.
4. The method according to claim 3, wherein the number of the local R/W state recording information is at least two; the obtaining of the local change information description content of the read-write state change information to be processed according to the local read-write state recording information includes:
acquiring recording information description contents corresponding to each local read-write state recording information in at least two local read-write state recording information respectively;
acquiring first data abnormal description contents corresponding to the at least two local read-write state recording information according to the recording information description contents corresponding to each local read-write state recording information;
and determining the first data abnormal description content as the local change information description content.
5. The method according to claim 3, wherein the at least two change information correlation identification results comprise an nth change information correlation identification result, n being a positive integer less than or equal to the total number of the at least two change information correlation identification results; the number of the global read-write state record information included in the nth change information correlation identification result is at least two; the step of respectively obtaining the global change information description content of the read-write state change information in each change information association identification result according to the global read-write state record information included in each change information association identification result includes:
acquiring record information description contents corresponding to each global read-write state record information in at least two global read-write state record information included in the nth change information correlation identification result;
acquiring second data abnormal description contents corresponding to the at least two pieces of global read-write state recording information according to the recording information description contents corresponding to each piece of global read-write state recording information;
and determining the second data abnormal description content as the global change information description content of the read-write state change information in the nth change information correlation identification result.
6. The method according to claim 3, wherein the number of the pending read/write status change information is at least two; the method further comprises the following steps:
when the number of the target change information correlation identification results is less than or equal to the first set threshold, respectively determining the change information correlation identification result where the read-write state change information with the largest state index evaluation value corresponding to the change information state index between each piece of read-write state change information to be processed is located as the to-be-processed correlation identification result corresponding to each piece of read-write state change information to be processed;
respectively determining the performance evaluation information of the solid state disk contained in the hard disk temperature change information in the to-be-processed correlation identification result corresponding to each piece of to-be-processed read-write state change information as the performance evaluation information of the to-be-processed solid state disk corresponding to each piece of to-be-processed read-write state change information;
determining at least two performance evaluation information weights corresponding to the performance evaluation information to be determined according to the performance evaluation information of the solid state disk to be processed corresponding to each piece of read-write state change information to be processed;
acquiring a first statistical result of the at least two performance evaluation information weights in the solid state disk performance evaluation information contained in the hard disk temperature change information of the at least two change information correlation identification results; determining a first target performance evaluation information weight of each piece of read-write state change information to be processed aiming at the performance evaluation information to be determined according to the first statistical result;
determining the to-be-determined performance evaluation information respectively having a first target performance evaluation information weight corresponding to each to-be-processed read-write state change information as the solid state disk performance evaluation information matched with each to-be-processed read-write state change information; and a second statistical result of the at least two performance evaluation information weights in the performance evaluation information of the solid state disk matched with each piece of read-write state change information to be processed corresponds to the first statistical result.
7. The method of claim 3, further comprising:
when the number of the target change information correlation identification results is larger than the second set threshold, counting the accumulated use times of at least two performance evaluation information weights of the performance evaluation information to be determined in the solid state disk performance evaluation information contained in the hard disk temperature record information of the target change information correlation identification results; the at least two performance evaluation information weights are determined according to the solid state disk performance evaluation information contained in the hard disk temperature change information in the target change information correlation identification result;
determining a second target performance evaluation information weight of the read-write state change information to be processed aiming at the performance evaluation information to be determined from the at least two performance evaluation information weights according to a change information state index between the read-write state change information to be processed and the target change information correlation identification result and the accumulated use times;
and determining the performance evaluation information to be determined with the second target performance evaluation information weight as the performance evaluation information of the solid state disk matched with the read-write state change information to be processed.
8. The method of claim 1, further comprising:
determining the solid state disk performance evaluation information contained in the hard disk temperature change information in the change information correlation identification result as the solid state disk performance evaluation information contained in the change information correlation identification result;
determining the change information correlation identification result and the performance evaluation correlation identification result as a dynamic correlation identification result in the mSATA solid state disk;
determining the performance evaluation information of the solid state disk contained in the dynamic correlation identification result as target performance evaluation information of the solid state disk;
adding the same state change label to the target solid state disk performance evaluation information and the read-write state change information in the dynamic correlation identification result;
respectively inputting the performance evaluation information of the target solid state disk with the state change label into a preset convolutional neural network, a preset forward feedback network and a preset Hopfield network; the time consumption for identifying the target solid state disk performance evaluation information from the preset convolutional neural network is greater than the time consumption for identifying the target solid state disk performance evaluation information from the preset feed-forward network; identifying the target solid state disk performance evaluation information from the preset feed-forward network by using time consuming time which is longer than time consuming time for identifying the target solid state disk performance evaluation information from the preset Hopfield network; the information identification loss weight of the preset convolutional neural network aiming at the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset feed-forward network aiming at the target solid state disk performance evaluation information; the information identification loss weight of the preset feed-forward network for the target solid state disk performance evaluation information is smaller than the information identification loss weight of the preset Hopfield network for the target solid state disk performance evaluation information;
the determining, according to the performance evaluation association identification result and the change information association identification result, state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information includes:
determining the state adjustment indication information in the mSATA solid state disk according to read-write state change information in the dynamic correlation identification result;
according to the state change label of the read-write state change information in the dynamic correlation identification result, obtaining the target solid state disk performance evaluation information with the state change label from the preset convolutional neural network, the preset feed-forward network or the preset Hopfield network, and determining the obtained target solid state disk performance evaluation information as the target performance evaluation information corresponding to the state adjustment indication information.
9. The method of claim 1, further comprising:
and responding to the received data destruction instruction, and destroying the data in the mSATA solid state disk.
10. A high-stability and high-capacity solid state disk processing system, comprising an electronic device and a sata solid state disk, wherein the electronic device and the sata solid state disk are in communication with each other, the electronic device is configured to process the sata solid state disk, and the sata solid state disk is compatibly designed on a same flexible circuit board to increase capacity, and the electronic device is specifically configured to:
acquiring hard disk temperature change information and read-write state change information in the mSATA solid state hard disk;
based on a change information registration result between the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk, performing association identification on the hard disk temperature change information and the read-write state change information in the mSATA solid state hard disk to obtain a change information association identification result;
determining read-write state change information with abnormal association identification as read-write state change information to be processed, and determining solid state disk performance evaluation information matched with the read-write state change information to be processed according to change information state indexes between the read-write state change information in the change information association identification result and the read-write state change information to be processed;
performing correlation identification on the performance evaluation information of the solid state disk matched with the read-write state change information to be processed and the read-write state change information to be processed to obtain a performance evaluation correlation identification result;
according to the performance evaluation association identification result and the change information association identification result, determining state adjustment indication information in the mSATA solid state disk and target performance evaluation information corresponding to the state adjustment indication information, and adjusting the operation state of the mSATA solid state disk based on the state adjustment indication information and the target performance evaluation information;
the acquiring hard disk temperature change information and read-write state change information in the mSATA solid state disk includes:
acquiring at least two pieces of hard disk temperature record information and at least two pieces of read-write state record information in the mSATA solid state hard disk;
acquiring a difference comparison result corresponding to the temperature record state index and the hard disk temperature record information between the at least two pieces of hard disk temperature record information, and acquiring a difference comparison result corresponding to the read-write record state index and the read-write state record information between the at least two pieces of read-write state record information;
integrating the temperature record information of the at least two hard disks according to the temperature record state index and the difference comparison result corresponding to the temperature record information of the hard disks to obtain the temperature change information of the hard disks in the mSATA solid state hard disk; the hard disk temperature change information comprises at least two hard disk temperature record information;
integrating the at least two pieces of read-write state record information according to the read-write state index and the difference comparison result corresponding to the read-write state record information to obtain read-write state change information in the mSATA solid state disk; one read/write state change information includes at least two read/write state record information.
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