2702 results about "Solid-state" patented technology

The invention relates to the technical field of hard disk testing and verification, in particular to a multi-thread-based solid state disk reliability automatic testing method and system.The method comprises the steps that firstly, SMART information is deeply analyzed through microsecond-level high-granularity continuous performance monitoring, and multi-thread parallel processing is assisted; according to the method, fine performance fluctuation of the solid state disk under the concurrent load can be quickly captured, a fault mode can be identified, then early warning is realized by utilizing the extracted multi-dimensional features and a machine learning model, and a detailed fault diagnosis report is generated; and through dynamic error correction code strength verification and data integrity verification under pressure, an internal error correction mechanism of the solid state disk is actively detected and optimized. And finally, in combination with prediction reliability modeling, the system can estimate the remaining service life and predict faults, and provides product optimization suggestions for design, manufacturing and firmware optimization of the solid state disk, so that automation, intelligence and full life cycle management of the fault detection reliability of the solid state disk are realized.

The invention relates to the technical field of hard disk life prediction, and discloses a solid state disk life prediction method, which comprises the following steps: collecting multi-source data of a solid state disk, the multi-source data comprising health state data, I / O load data and environmental data of the solid state disk; preprocessing the multi-source data; calculating a health score of the solid state disk based on the preprocessed multi-source data, and establishing a prediction model by using the health score and the time sequence data; based on comparison between the prediction result and a set threshold value, an early warning signal is triggered according to a comparison result; and optimizing the prediction model in real time based on the comparison between the prediction result and the actual service life. By collecting the multi-source data, including the health state, the I / O load and the environment data, of the solid state disk, the problem that tiny differences of the hard disk under different operation conditions are ignored in an existing method is solved. Compared with a traditional method, the method has the advantage that the prediction accuracy is greatly improved.

The invention discloses a solid state disk data reading method and system, a storage medium and a program product, and the method comprises the steps: calculating a temperature change rate and a temperature accumulation effect coefficient of a to-be-read data block according to a current temperature value and a historical temperature record; dividing the physical page address into a plurality of subintervals, and determining a loss level; calculating an initial reading voltage threshold value; compensating the initial reading voltage threshold value to obtain a target reading voltage threshold value; performing parallel reading on the to-be-read data block by adopting the target reading voltage threshold value to obtain original reading data; performing crosstalk correction on the original read data to obtain corrected data; when the reliability verification result of the corrected data of any subinterval is lower than a preset threshold value, error correction processing is carried out; and updating the loss level of the sub-interval according to the verification result of the reliability verification, and re-dividing the sub-interval of the data block to be read. The data reading delay is reduced, and the performance of the solid state disk in a scene of frequently reading small files is improved.

The invention relates to the technical field of intelligent temperature control, in particular to a solid state disk intelligent temperature control method and system based on edge computing. The method comprises the following steps: acquiring solid state disk array data; performing array topology analysis on the solid state disk array data to generate solid state disk array topology data; performing initial self-organizing heat dissipation network construction on the solid state disk array data based on the solid state disk array topological data to obtain an initial self-organizing heat dissipation network; edge computing node deployment is carried out on the initial self-organizing heat dissipation network, and temperature data of the solid state disk are collected according to edge computing nodes; and network heat conduction path optimization is carried out on the initial self-organizing heat dissipation network through the temperature data, and a self-organizing heat dissipation optimization network is generated. According to the invention, through self-organization of the heat dissipation network, edge calculation optimization, thermal-electric mode conversion and long-term prediction, SSD array-level intelligent temperature control is realized, and the heat dissipation efficiency, the response speed and the long-term stability are improved.

The invention relates to a porous structure manufactured through laser powder bed melting additive manufacturing, in particular to a gradient porous structure with excellent mechanical property and functionality and an LPBF self-adaptive input manufacturing method of the gradient porous structure. According to the method, basic geometric parameters and gradient characteristics of the gradient porous structure are defined by utilizing Grasshopper parameterization design software. A gradient porous structure with excellent mechanical properties and functionality is generated through a grasshopper plug-in of software, and smooth transition from a solid state to a porous state is achieved. An LPBF technology is adopted and combined with an angle partitioning strategy, the gradient porous structure is melted layer by layer, the gradient porous structure is partitioned according to the strut suspension angle on the basis of optimizing process parameters, the optimized process parameters are applied to a model of the partitioned region, and the gradient porous structure is obtained. Scanning of each layer of the overhanging supporting columns at different angles is in appropriate laser parameter input, and the problems of deformation and high porosity caused by heat accumulation in the LPBF process are effectively solved.

The invention relates to the technical field of solid state disk performance evaluation. The solid state disk performance evaluation method comprises the steps of obtaining solid state disk operation information, conducting exception analysis on the solid state disk operation information through a deep learning model to obtain solid state disk exception information, conducting correction and interpolation on the solid state disk exception information, and obtaining the solid state disk performance evaluation result. Performing feature extraction on the corrected operation information to obtain a plurality of performance features of the solid state disk, screening the plurality of performance features based on a feature selection method to obtain a target feature set required by performance evaluation, and analyzing the target feature set required by performance evaluation through a time sequence prediction model. Obtaining performance change trend information under different loads, predicting the residual life and the performance degradation condition of the solid state disk according to the performance change trend information, and obtaining a performance evaluation result. The method has the effect of improving the performance evaluation accuracy of the solid state disk.

The invention discloses a solid state disk pre-reading method and device based on host I / O software and a medium. According to the method, through deep collaboration between the host I / O software and the solid state disk, multi-dimensional context information such as application program running, user operation and system resources is accurately perceived, and then the pre-reading strategy of the solid state disk is dynamically optimized. Various kinds of context information are collected through host I / O software and then transmitted to the solid state disk, the solid state disk analyzes and processes the context information by means of a machine learning technology so as to predict subsequent pre-access related parameters, so that a pre-reading strategy is correspondingly and dynamically adjusted, a cache management mechanism is matched, pre-read data better meet actual requirements, and the pre-read data are more accurate. The hit rate of pre-reading is improved, the overall data reading efficiency is improved, and the data reading speed is remarkably increased.

The invention discloses an SSD testing method, system, device and equipment and a storage medium, and relates to the technical field of solid state disk testing, and the method comprises the steps that firstly, a test request is responded, and a standardized test environment is constructed by deploying a test environment mirror image; and then an iterative testing process is executed on the SSD to be tested in the environment. The key of the iterative test process is that the real-time performance of the SSD to be tested in each round of test can be obtained, and the performance is compared with a preset performance standard. When a comparison result meets a specific condition, the system automatically adjusts and optimizes execution parameters used in the next round of test. According to the method and the device, the dynamic association between the performance indexes and the subsequent test parameters is established, so that the test process can be self-adjusted according to the actual performance of the SSD to be tested, and the limitation caused by the fact that the test parameters are fixed in the prior art is overcome.

The invention discloses a solid state disk management system and a data processing method, and relates to the technical field of solid state disk management. Flexible task scheduling and resource management are provided through a lightweight operating system module, and a computing task program defined by a user is supported to be dynamically loaded; edge computing or machine learning operators are efficiently executed in combination with a programmable hardware processing unit and a DMA channel of the computing acceleration engine module, the data preloading module is utilized to predict and preload data to DDR based on LBA access history, access delay is reduced, an NVMe protocol is expanded by means of the task unloading interface module, host task issuing and result returning are achieved, and the data processing efficiency is improved. And hardware-level memory protection is ensured through the security isolation module, so that the data calculation processing capacity of the solid state disk is remarkably improved, localized calculation tasks such as edge calculation and machine learning are supported, mass data transmission is effectively reduced, and bus and network loads are relieved.

The invention discloses a solid state disk data processing method and device, a storage medium and a program product, and relates to the field of electrical digital data processing.The method comprises the steps that a network data transmission request is obtained, a network bandwidth state corresponding to the network data transmission request is detected, and bandwidth state parameters are generated according to the network bandwidth state; calculating a data transmission time consumption predicted value, and determining a buffer capacity threshold according to the data transmission time consumption predicted value; adjusting the capacity of the data buffer area according to the buffer area capacity threshold, and adjusting the data buffer area; monitoring the data occupancy rate of the adjusted data buffer area, and when the data occupancy rate is lower than a preset occupancy rate threshold value, calculating an idle time window of the target solid state disk according to the network bandwidth state; determining a target power consumption mode of the target solid state disk according to the duration of the idle time window; and controlling the target solid state disk to enter the target power consumption mode in the idle time window. By implementing the application, the energy consumption of the solid state disk can be reduced.

The invention discloses a solid state disk bad block wear balancing method and system, a medium and a program product, and relates to the field of electrical digital data process.The method comprises the steps that a storage area of a solid state disk is divided into a plurality of sub-areas, and a sub-area distribution table is generated; establishing a data block rotation link in each sub-region based on the sub-region distribution table and recording the data block rotation link as a rotation sequence table; executing a data block rotation operation according to a preset period, and recording a wear state of each sub-region; when a newly added bad block is detected, marking the sub-region containing the bad block as a to-be-migrated source region in the sub-region distribution table; determining a target region from other sub-regions according to the number of bad blocks and wear states recorded in the sub-region distribution table, and establishing a mapping relationship between the to-be-migrated source region and the target region; and migrating the data in the to-be-migrated sub-region to the target region according to the sequence in the rotation sequence table based on the mapping relationship and the rotation sequence table. The utilization efficiency of the standby block is improved, and the service life of the solid state disk is further prolonged.

The invention discloses a method, system and equipment for monitoring the running state of a solid state disk and a storage medium, and belongs to the technical field of monitoring the running state of the solid state disk, and the method comprises the following steps: S1, monitoring core indexes during running of different solid state disks, including a health degree index, a performance index and an environment and hardware index; field mapping tables are established for different models of solid state disks, and SMART attributes of different manufacturers are uniformly converted into self-defined indexes; the main control temperature, the writing speed, the reading error rate and the environment temperature are combined, and the temperature values of different areas of the NAND are predicted; and the temperature, the voltage and the write-in magnification are combined to correct the residual life of the solid state disk. According to the method, the SMART attribute indexes are unified, the NAND temperature is accurately predicted, and the service life is predicted in combination with multiple factors, so that the operation and maintenance efficiency of the solid state disk can be effectively improved, and a safety guarantee is provided for stable operation of the solid state disk.

The invention discloses an SSD (Solid State Disk) testing method, which relates to the technical field of SSDs, and comprises the following steps: an SSD is connected to testing equipment, and the testing equipment comprises a controller, a data generation module, a data transmission module, a data storage module and a performance monitoring module; specific types of test data are generated through a data generation module, the specific types of test data comprise sequential read-write data, random read-write data and mixed read-write data, the file size of the sequential read-write data is within the range of 1GB-10GB, the operation block size of the random read-write data is within the range of 4KB-64KB, and the file size of the mixed read-write data is within the range of 4KB-64KB. The ratio of sequential read-write to random read-write in the mixed read-write data ranges from 1: 1 to 3: 1, the test data further comprises multiple file formats including but not limited to text files, image files, video files and audio files, and the data size of each file format accounts for 10%-30% of the total test data size; the SSD performance can be accurately evaluated, and the performance evaluation standard is perfected.

The invention discloses an SSD (Solid State Disk) cache management method, which relates to the technical field of SSDs, and comprises the following steps: step 1, cache space division: the cache space of the SSD is divided into a plurality of different types of sub-cache regions, and each sub-cache region at least comprises a hot data cache region, a cold data cache region and an intermediate data cache region; 2, data popularity monitoring: monitoring the access frequency of the data stored in the SSD in real time, judging the popularity level of the data according to the access frequency, judging the data with the access frequency higher than a set threshold as hot data, judging the data with the access frequency lower than another set threshold as cold data, and judging the data between the hot data and the cold data as intermediate data; 3, data cache allocation: according to the heat level of the data, storing hot data into a hot data cache region, storing cold data into a cold data cache region, and storing intermediate data into an intermediate data cache region; the cache utilization rate and the read-write performance are comprehensively improved, and the delay is reduced.

The invention relates to a power consumption and energy efficiency testing method for a solid state disk, a storage medium and a program product. The method comprises the steps that under the condition that the solid state disk meets a first test condition, aiming at each test state in multiple test states of the solid state disk, power consumption parameters of the solid state disk are collected at multiple collection moments, and power consumption test results of the solid state disk in the test states are obtained; for each energy efficiency index in a plurality of energy efficiency indexes of the solid state disk, under the condition that the solid state disk meets a test state corresponding to the energy efficiency index, values of the energy efficiency indexes are respectively collected at a plurality of sampling moments, and index values of the energy efficiency indexes at the plurality of sampling moments are integrated; obtaining an energy efficiency test result of the solid state disk under the energy efficiency index; and obtaining a power consumption and energy efficiency test result of the solid state disk based on the power consumption test result and the energy efficiency test result. By adopting the method, comprehensive and accurate testing of power consumption and energy efficiency of various types of solid state disks in a complex scene can be realized.

The invention discloses a solid state disk performance fluctuation test method, device and equipment and a storage medium, and relates to the technical field of performance tests.A corresponding test action sequence is generated according to a performance test instruction, a plurality of test actions are organized into a standard test process capable of being repeatedly executed, and the performance fluctuation test efficiency is improved. The influence of the difference of manual test operation execution on the test result is eliminated, the performance fluctuation test result of the to-be-tested solid state disk is calculated based on the storage performance index of the to-be-tested solid state disk in the test action sequence execution process, and objective evaluation of the performance fluctuation of the solid state disk is realized on the basis of sufficient data support. The automation and standardization of the test are realized from the two aspects of the test process and the result evaluation, and the efficiency and accuracy of the test are improved.

The invention discloses a multi-NS traffic control method and device for a solid state disk, and a storage medium. The method comprises the following steps: configuring an initial token parameter for each IO path based on a token bucket algorithm; associating the plurality of NS with the plurality of IO paths one by one so as to determine an association relationship between each NS and each IO path; receiving a target NS input by the host and a target flow control parameter corresponding to the target NS; searching a target IO path corresponding to the target NS according to the association relationship; configuring the target flow control parameter into the target IO path, and updating the initial token parameter according to the target flow control parameter to determine a target token parameter; receiving an IO service issued by the host; and processing the IO service and carrying out flow limitation on the IO service according to the target token parameter. According to the method and the device, the resource efficiency, the performance balance and the performance stability of the solid state disk in a multi-NS scene are improved.

The invention discloses a large language model reasoning method based on an unloading pipeline, and the method comprises the steps: obtaining an optimal unloading reasoning strategy through calculation according to the obtained model structure information and model configuration information of a large language model, and the hardware specification information and system operation load information of reasoning equipment; and then tasks in the optimal unloading reasoning strategy are scheduled through a fine-grained pipeline to output an unloading reasoning result of the large language model. According to the method, reasoning tasks are automatically configured according to input large language model information and a system hardware environment, and hardware resource use and reasoning performance are optimized. For deployment of a large language model on local equipment, transmission optimization is carried out for unloading using a solid state disk, so that the data transmission speed is increased. Meanwhile, fine-grained assembly line task scheduling is carried out for unloading reasoning, and the reasoning concurrency and the model throughput can be remarkably improved through unloading reasoning of an assembly line model.

The invention relates to the technical field of energy power, in particular to a vehicle power system based on a solid hydrogen pool, a passenger vehicle and a control method. The vehicle power system comprises a power driving module, a fuel cell module, a solid hydrogen pool module, a heat dissipation module and a whole vehicle control module. The fuel cell module comprises a cell stack unit, a hydrogen feeding and discharging unit, an air feeding and discharging unit and a tail discharging unit, and the cell stack unit is electrically connected with the power driving module. The solid hydrogen pool module comprises a solid hydrogen storage unit, a water supply unit and a hydrogen release buffer unit. The heat dissipation module is in butt joint with the cell stack unit and the solid hydrogen storage unit, and the whole vehicle control module is in communication connection with the power driving module, the fuel cell module and the solid hydrogen pool module. The passenger vehicle comprises a vehicle power system. The fuel cell module based on the solid hydrogen pool module is used for stably supplying power to the power driving module, so that power is provided for the passenger car, and the endurance requirement of the passenger car is met.

The invention discloses a solid state disk management method and device, equipment, a medium and a product, which are applied to the technical field of storage and are used for solving the problem of data loss caused by difficult realization of timely and accurate solid state disk anomaly detection in the traditional technology, and the method is applied to a distributed storage system deployed with a service layer and a storage layer. The storage layer is deployed with a plurality of object storage devices, each object storage device is deployed with a plurality of solid state disks, and the method comprises the following steps: monitoring a service layer to determine whether the service layer is abnormal or not; if yes, determining an abnormal solid state disk and a solid state disk exception type in a storage layer; the exception type of the solid-state disk comprises exception of the disk and / or expiration of the service life of the disk; when the exception type of the solid state disk is the exception of the solid state disk, performing fault detection on the exceptional solid state disk by utilizing a preset fault detection strategy to obtain a fault detection result; and determining a target protection strategy by using the solid state disk exception type and the fault detection result so as to perform redundancy protection on the exceptional solid state disk.

The invention relates to the technical field of data storage, and discloses an intelligent hierarchical storage method and system for cold and hot data of a solid state disk, and the method comprises the steps: collecting spatial position change data and vibration state data, and carrying out the preprocessing to obtain a multi-dimensional feature data set; performing quantification processing on the influence degree of the spatial position change data and the vibration state data to obtain an interference weight value; constructing a joint feature matrix based on the interference weight value and the historical access record, and predicting hotspot data distribution; if the matching degree of the hotspot data distribution and the current storage layout is lower than a preset matching degree threshold value, migrating the high-frequency access data to a low-delay area to obtain an optimized storage layout; when the access response time is larger than a preset time threshold value, log data are generated, and delay load features are extracted; and carrying out secondary adjustment on the optimized storage layout to obtain a final dynamic storage scheme. According to the method, dynamic optimization of the storage performance of the solid state disk can be realized, and delay loss caused by cold and hot data mismatching is reduced.

The invention relates to an intelligent solid state disk quality detection method, system and device and a medium, and the method comprises the steps: obtaining test demand data of a to-be-detected solid state disk, extracting feature point data in the test demand data from the test demand data through a feature extraction algorithm, and obtaining demand feature point data; acquiring environment data, and transmitting the demand feature point data and the environment data to a pre-trained detection model for comparative analysis to obtain a test adjustment scheme; performing a virtual environment test according to the test adjustment scheme to obtain a virtual environment test result; and when the virtual environment test result does not conform to the expectation, obtaining difference information from the virtual environment test result, correspondingly modifying the test adjustment scheme according to the difference information to obtain an optimized adjustment scheme, and adjusting the test process and parameter configuration of the to-be-detected solid state disk according to the optimized adjustment scheme. The method has the effect of improving the accuracy of solid state disk quality detection.

The invention relates to the technical field of hard disk energy consumption management and control, in particular to a full-life-cycle energy consumption management and control method and system for a solid state disk. The method comprises the following steps: obtaining solid state disk structure data; performing hard disk write-in durability evaluation on the solid state disk structure data to generate solid state disk write-in durability evaluation data; performing time sequence use detection on the solid state disk based on the solid state disk write-in durability evaluation data, and generating solid state disk time sequence use monitoring data; and writing durability evaluation data into the solid-state disk through the solid-state disk time sequence use monitoring data to perform solid-state disk life cycle division, and generating solid-state disk life cycle division data. By combining life cycle division, write-in durability evaluation and real-time energy consumption optimization strategies of the solid state disk, the full-life-cycle self-adaptive energy efficiency management and control method is provided, and the efficiency of energy efficiency management and control of the solid state disk is improved.

The invention discloses a solid state disk data storage method, device and equipment and a storage medium, and relates to the technical field of hard disk management, and the method comprises the steps: obtaining a life value corresponding to each flash memory block in a target solid state disk, and dividing the life value into a preparatory TLC region and a preparatory SLC region; based on the current space utilization rate of the target solid state disk, the data proportion of the current hot data to the cold data and the access proportion of the cold data write access times to the total write access times, determining the target partition proportion of the TLC area and the SLC area, and based on the target partition proportion, determining the current TLC area and the current SLC area; and migrating and storing hot data in the first current storage data to the current SLC area and migrating and storing cold data in the second current storage data to the current TLC area based on the data access frequencies corresponding to the first current storage data in the current TLC area and the second current storage data in the current SLC area. Therefore, automatic hierarchical storage of the hard disk data can be realized.

The invention discloses a power consumption optimization method and device of a solid state disk controller, equipment and a medium, and relates to the field of computers, and the method comprises the following steps: determining an uplink bandwidth demand and a downlink bandwidth demand of a nonvolatile memory fast solid state disk controller according to a response rate of a completion queue and a target attribute of each input / output request; determining a unidirectional maximum transmission bandwidth of the communication bus according to a link rate and a link width of the communication bus, and determining a current uplink bandwidth utilization rate and a current downlink bandwidth utilization rate of the communication bus according to the unidirectional maximum transmission bandwidth, the uplink bandwidth demand and the downlink bandwidth demand; and adjusting the link rate of the communication bus according to the current uplink bandwidth utilization rate and the current downlink bandwidth utilization rate. According to the method and the device, the power consumption optimization of the nonvolatile memory fast solid state disk controller is realized.

The invention belongs to the technical field of computer storage, and particularly relates to a solid state disk data management and efficient storage distribution method, which comprises a data characteristic sensing and classifying unit, a data characteristic sensing and classifying unit, a data processing unit, a data storage unit and a data distribution unit, wherein the data characteristic sensing and classifying unit is configured for analyzing write-in request data flow entering a solid state disk in real time or periodically, extracting various characteristic parameters associated with data blocks and storing the data blocks; classifying the data on the basis of the characteristic parameters, and distributing one or more data classification labels for each data block to be written or stored; and the self-adaptive storage allocation strategy unit is configured to be used for dynamically selecting an optimal physical block for data writing according to the data classification label and in combination with the physical block state information of the current flash memory medium. According to the invention, the solid state disk can better adapt to various dynamic and variable workloads, and especially shows more excellent continuous write-in performance, lower delay jitter and obviously prolonged service life when processing a large amount of random write-in, small block write-in and write amplification sensitive applications.

The invention belongs to the field of big data, and relates to a file storage method which comprises the steps that access frequency information of a target file in a historical time period is acquired, and the target file is stored in a mechanical hard disk of an object storage system; judging whether the target file is a high-frequency access file or not according to the access frequency information and an access threshold value; if the target file is the high-frequency access file, obtaining file attribute information of the target file, and judging a to-be-stored type of the target file based on the cache strategy and the file attribute information; if the to-be-stored type of the target file is a memory storage type, storing the target file into a memory cache; and if the to-be-stored type of the target file is the standard storage type, storing the target file into a solid state disk cache. The invention further provides a device, equipment and a medium. In addition, the invention also relates to a block chain technology, and the access frequency information and the target file can be stored in a block chain. The method can improve the utilization rate of storage resources.

The invention discloses a solid state disk performance testing method based on multi-interface switching and related equipment, and relates to the field of data processing. The method comprises the following steps: determining a target interface combination according to specification parameters and supported interface types of a tested solid state disk and a preset interface configuration library; generating an interface switching strategy according to the target interface combination; based on the interface switching strategy, performing a first performance test through the first target interface to obtain first performance test data; based on the interface switching strategy, performing interface switching processing on the tested solid state disk; performing a second performance test on the tested solid state disk through the second target interface to obtain second performance test data; and performing alignment processing on the two pieces of performance test data to obtain protocol stack interaction feature data and physical layer signal quality data of the tested solid state disk, and further determining a performance test result of the tested solid state disk. According to the method, the performance of the solid state disk under different interface types can be comprehensively evaluated.

The invention discloses an SSD internal log storage method and system and a storage medium, and belongs to the technical field of solid state disks. The method comprises the following steps: S1, deploying encryption compression operation and decryption operation of an SSD firmware internal log on an upper computer, and standardizing an internal log format; s2, a firmware writing stage: according to a defined standard format, generating a log output code, replacing a character string with a character string ID and updating a character string mapping table; s3, when the SSD firmware runs, the generated standardized log is written into a Flash or a serial port; s4, the upper computer obtains the log; and S5, according to the character string mapping table and the log standard format, the upper computer analyzes the character string needing to be printed and the operation real-time parameters, and outputs the log plaintext according to the needed target format. The occupation of CPU or hardware resources in the log generation and storage stage is reduced; the character string is replaced by the digital ID, and in the compiling stage, the code space occupied by the system character string can be greatly reduced.

The invention relates to the technical field of data storage, and discloses a solid state disk total write-in data volume testing method, which comprises the following steps of: initializing a testing environment and self-adaptive parameter configuration of a solid state disk; creating a plurality of parallel data acquisition threads, acquiring test data through the data acquisition threads, and storing the acquired test data into a database; establishing a preset health degree evaluation model, analyzing the collected test data in real time according to a preset health degree index system, dynamically adjusting a test load based on a dynamic acceleration stress model and according to the real-time state of the solid state disk, executing a corresponding test operation according to an adjustment result, and recording a test result; and analyzing the test result, and automatically generating a test report according to the analysis result. According to the method, the dynamic acceleration stress model is introduced, so that the test load is dynamically adjusted according to the real-time state of the SSD, and the test efficiency and accuracy are improved.