CN117744029A - Computer host running environment adaptability test system based on data analysis - Google Patents

Computer host running environment adaptability test system based on data analysis Download PDF

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Publication number
CN117744029A
CN117744029A CN202311681042.1A CN202311681042A CN117744029A CN 117744029 A CN117744029 A CN 117744029A CN 202311681042 A CN202311681042 A CN 202311681042A CN 117744029 A CN117744029 A CN 117744029A
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data
test
module
mram
model
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沈国良
王若海
景奕昕
余晨
熊弘璟
刘诗云
梅雪菲
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Wuhan Pansheng Dingcheng Technology Co ltd
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Wuhan Pansheng Dingcheng Technology Co ltd
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Abstract

The invention discloses a computer host operating environment adaptability test system based on data analysis, which is characterized in that by matching a data collection module, a data processing module, a model construction module, a test execution module, a feedback control module and an optimization suggestion module, operating data of a computer host under various environments are collected, the collected operating data are processed and analyzed, an adaptability test model is built according to analysis results, the built adaptability test model is executed and predicted to detect performances and stability of an MRAM under different environments, test results and data analysis results are evaluated and fed back to the performances of the MRAM, finally, the evaluation and feedback results are subjected to optimization suggestion through the optimization suggestion module, testers are optimized according to the optimization suggestion, the problem that the reliability of the MRAM is influenced due to fluctuation of external temperature and magnetic field is effectively solved, and the adaptability and stability of a storage system are improved.

Description

Computer host running environment adaptability test system based on data analysis
Technical Field
The invention belongs to the technical field of computer host test systems, and particularly relates to a computer host running environment adaptability test system based on data analysis.
Background
The memory system of the computer host generally comprises an internal memory and an external memory, wherein the internal memory is used for temporarily storing operation data in the CPU and data exchanged with the external memory such as a hard disk, the external memory is a memory except for the computer memory and the CPU cache, and the memory can still store data after power is cut off. When the computer host operates, the operation of the memory determines the stable operation of the computer, so that the performance of the memory has great influence on the computer.
The conventional internal memory in the market is MRAM, which is used as a memory device, and the physical characteristics of the data memory core component are different from those of the conventional memory device, and the memory device is sensitive to temperature and magnetic field.
Disclosure of Invention
The invention aims to provide a computer host operating environment adaptability test system based on data analysis, which can effectively solve the problem that the reliability of an MRAM is affected by the fluctuation of external temperature and magnetic field, improve the adaptability and stability of a storage system, ensure the normal operation of a computer host and data safety, and solve the problems in the background art.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the computer host operating environment adaptability test system based on data analysis comprises a data collection module for collecting operating data in the computer host operating environment, a data processing module for processing and analyzing the collected operating data, a model building module for building an adaptability test model according to the processed data, a test execution module for predicting the adaptability test model, a storage module for storing test results, a feedback control module for evaluating and feeding back the performance of the MRAM, an early warning module for early warning according to the test results and an optimization suggestion module for providing optimization suggestions for the MRAM; the data collection module is electrically connected with the data processing module, the data processing module is electrically connected with the model building module, the model building module is electrically connected with the test execution module, the test execution module is electrically connected with the storage module and the feedback control module respectively, and the feedback control module is electrically connected with the early warning module and the optimization suggestion module respectively.
Preferably, the data collection module comprises a temperature sensor and a humidity sensor for monitoring the internal and external environment temperatures of the computer host, a magnetic field sensor for monitoring the magnetic field around the computer host, an MRAM performance monitor for monitoring the performance index of the MRAM, and a data collector, wherein the temperature sensor, the humidity sensor, the magnetic field sensor and the MRAM performance monitor are electrically connected with the data collector, and the data collector is used for preprocessing, filtering and converting the electrical signals of the temperature sensor, the humidity sensor and the magnetic field sensor and the data of the MRAM performance monitor, and then transmitting the converted data to the data processing module.
Preferably, the data processing module includes a data cleaning unit, a data conversion unit, an outlier processing unit, a trend analysis unit and a feature extraction unit, wherein the data cleaning unit processes incomplete, inaccurate, abnormal or redundant data and transmits the processed data to the data conversion unit, the data conversion unit converts the collected original data into a format easier to analyze and visualize, the outlier processing unit deletes or fills the abnormal data in the data analysis, the trend analysis unit identifies and extracts the change condition of the data with time by using a regression analysis method, and the feature extraction unit extracts the features and indexes related to environmental factors and MRAM performance from the processed data.
Preferably, when the model construction module builds the adaptive test model, the model building module selects the model building type according to the processed data type, the model building type comprises a linear regression model, a decision tree model and a neural network model, then trains the selected model according to the processed data, evaluates the performance of the trained model on the test data set through calculating the accuracy and recall rate of the model, optimizes the model according to the evaluation result, and finally deploys the model after secondary evaluation to practical application, wherein the optimizing content comprises the adjustment of model parameters, the addition or subtraction of characteristics and the replacement of the model.
Preferably, the test execution module comprises a test controller, a temperature test device, a magnetic field test device, an MRAM test platform, a data analysis processor and a display, wherein one end of the test controller is respectively and electrically connected with the temperature test device, the magnetic field test device and the MRAM test platform, the temperature test device, the magnetic field test device and the MRAM test platform are all connected with one end of the data analysis processor, and the other end of the data analysis processor is connected with the display.
Preferably, the storage module comprises a memory bank, a storage controller and a data recorder, wherein the storage controller is respectively and electrically connected with the memory bank and the data recorder, and controls the data recorder to collect data of a test environment, test time and test results and transmit the data to the memory bank for storage.
Preferably, the feedback control module comprises an evaluation engine unit for evaluating the performance of the MRAM according to the test data and the data analysis result, a feedback mechanism unit for feeding back the performance of the MRAM, and a communication interface unit for transmitting the feedback result and the evaluation result, wherein the evaluation engine unit quantitatively evaluates the performance of the MRAM according to a preset evaluation index and a preset threshold value, comprehensively evaluates and feeds back the performance of the MRAM according to the requirement of an actual application scene, and the performance of the MRAM comprises a reading speed, a writing speed and an error rate; the feedback mechanism unit feeds back the performance of the MRAM according to the evaluation result of the evaluation engine and generates feedback information; and the communication interface unit transmits the evaluation result of the evaluation engine unit and the feedback information of the feedback mechanism unit to a display for visual display.
Preferably, the early warning module comprises an abnormal detector, an early warning trigger and an alarm, wherein one end of the abnormal detector is connected with one end of the early warning trigger, and the other end of the early warning trigger is connected with one end of the alarm.
Preferably, the anomaly detector monitors test data and data analysis results in real time through the steps of data collection, data cleaning, feature extraction, model construction, real-time monitoring and problem identification, so as to identify problems related to the performance and stability of the MRAM and trigger early warning in time.
Preferably, the optimization suggestion module includes an optimization analyzer that discovers problems and bottlenecks of the MRAM by in-depth analysis of the read speed, write speed, and error rate indicators, and analysis of information of the test environment, test time, and test results, and an optimization suggestion generator that generates optimization suggestions for the MRAM by in-depth understanding and analysis of the problems, the optimization suggestions including adjusting the read-write strategy, and replacing the storage medium.
Compared with the prior art, the computer host operating environment adaptability test system based on data analysis has the following advantages:
1. according to the invention, through the cooperation of the data collection module, the data processing module, the model construction module, the test execution module, the feedback control module and the optimization suggestion module, the data collection module is used for collecting the operation data of the computer host under various environments, including the environmental parameters of temperature, humidity and magnetic field, the data collection processing module is used for processing and analyzing the collected operation data, then an adaptive test model is built according to the analysis result, the test execution module is used for executing prediction on the built adaptive test model so as to detect the performance and stability of the MRAM under different environments, the test result and the data analysis result are used for evaluating and feeding back the performance of the MRAM through the feedback control unit, finally, the optimization suggestion module is used for making optimization suggestion according to the performance of the MRAM, the tester is used for optimizing according to the optimization suggestion, the reliability problem influenced by fluctuation of the external temperature and magnetic field is effectively solved, the adaptability and stability of the storage system are improved, and the normal operation and the data safety of the computer host are ensured.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a block diagram of a data collection module system of the present invention;
FIG. 3 is a block diagram of a system of data processing modules of the present invention;
FIG. 4 is a system block diagram of a test execution module of the present invention;
FIG. 5 is a block diagram of a memory module system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a computer host operating environment adaptability test system based on data analysis, which is shown in fig. 1-5, and comprises a data collection module, a data processing module, a model building module, a test execution module, a storage module, a feedback control module, an early warning module and an optimization suggestion module, wherein the data collection module is used for collecting operating data in a computer host operating environment, the data processing module is used for processing and analyzing the collected operating data, the model building module is used for building an adaptability test model according to the processed data, the test execution module is used for predicting the adaptability test model, the storage module is used for storing test results, the feedback control module is used for evaluating and feeding back the performance of an MRAM, the early warning module is used for early warning according to the test results, and the optimization suggestion module is used for providing optimization suggestions for the MRAM; the data collection module is electrically connected with the data processing module, the data processing module is electrically connected with the model construction module, the model construction module is electrically connected with the test execution module, the test execution module is respectively electrically connected with the storage module and the feedback control module, and the feedback control module is respectively electrically connected with the early warning module and the optimization suggestion module.
As shown in fig. 2, the data collection module includes a temperature sensor and a humidity sensor for monitoring the internal and external environmental temperatures of the computer host, a magnetic field sensor for monitoring the magnetic field of the surrounding environment of the computer host, an MRAM performance monitor for monitoring the MRAM performance index, and a data collector, wherein the temperature sensor, the humidity sensor, the magnetic field sensor, and the MRAM performance monitor are all electrically connected with the data collector, the data collector is used for preprocessing, filtering, and converting the electrical signals of the temperature sensor, the humidity sensor, the magnetic field sensor, and the data of the MRAM performance monitor, then transmitting the converted data to the data processing module, the temperature sensor, the humidity sensor, the magnetic field sensor, and the MRAM performance monitor perform data collection according to the set sampling frequency and measurement range, and transmitting the collected raw data to the data collector, the data collector performs preprocessing on the raw data, and the preprocessing operations such as data cleaning, format conversion, and unit conversion, so that the data meets the input requirements of the data processing module, and the data collector transmits the processed data to the data processing module, and then performs backup and storage for subsequent analysis and query.
As shown in fig. 3, the data processing module includes a data cleaning unit, a data conversion unit, an outlier processing unit, a trend analysis unit and a feature extraction unit, the data cleaning unit processes incomplete, inaccurate, abnormal or redundant data, and transmits the processed data to the data conversion unit, if there is a missing data or an abnormality compared with an actual experience value, the abnormal data is deleted to ensure the quality and reliability of the data, the data conversion unit converts the collected raw data into a format which is easier to analyze and visualize, the data conversion may involve normalizing or normalizing the data or combining a plurality of related data together during the data conversion so as to better grasp the trend of the data, the outlier processing unit deletes or fills the abnormal data during the data analysis, the trend analysis unit identifies and extracts the time-dependent change condition of the data in the data by using a regression analysis method, the feature extraction unit extracts the features and indexes related to the environmental factors including temperature, humidity, magnetic field, etc. from the processed data, the feature extraction unit calculates various statistics (such as an average value, a standard deviation, correlation, etc.), or creates the correlation with the new parameters or creates the correlation parameters such as the ASIC, the current parameters and the data can be better analyzed by the analysis mode, the data and the data is better analyzed by the analysis mode, the analysis mode or the relation of the data and the performance of the data is better analyzed and the data is better analyzed by the analysis mode and the relation of the data and the data.
When the model construction module builds the adaptive test model, the model type is selected according to the type of the processed data, the model type comprises a linear regression model, a decision tree model and a neural network model, the selected model is trained according to the processed data, the trained model is evaluated on a test data set through calculating the accuracy and recall rate of the model, the model performance is optimized according to the evaluation result, the optimized content comprises the adjustment of model parameters, the addition or subtraction of characteristics and the replacement of the model, the optimized model is required to be trained and evaluated again, and finally the model after the secondary evaluation is deployed into practical application, for example, the model is integrated into a computer host operation environment adaptive test system, so that automatic test and real-time monitoring are realized.
As shown in fig. 4, the test execution module includes a test controller, a temperature test device, a magnetic field test device, an MRAM test platform, a data analysis processor and a display, wherein one end of the test controller is electrically connected with the temperature test device, the magnetic field test device and the MRAM test platform respectively, the temperature test device, the magnetic field test device and the MRAM test platform are all connected with one end of the data analysis processor, the other end of the data analysis processor is connected with the display, the test controller generates a test task according to a result predicted by the model and coordinates the operation of each component, and the temperature test device is used for simulating different temperature environments so as to test the performance and stability of the MRAM at different temperatures. It may include heating and cooling means, as well as a temperature sensor for monitoring the temperature during the test; the magnetic field testing device is used for simulating different magnetic field environments so as to test the performance and stability of the MRAM under different magnetic fields. It may comprise magnetic field generating and shielding means, and a magnetic field sensor for monitoring the magnetic field strength during the test; the MRAM test platform is used to secure and connect MRAM for performance testing and stability assessment. The MRAM test circuit can comprise a test circuit, a power supply, a signal generator and other devices, and is used for performing read-write operation and performance measurement on the MRAM; the data processing analyzer is used for collecting data generated in the testing process, and analyzing and processing the data. It may include data storage, processing and analysis software for monitoring test data in real time, generating test reports and evaluating MRAM performance and stability, and a display for displaying test results, controlling test procedures and receiving user inputs. It may include a display screen, keyboard, mouse, etc., to allow a user to interact with the test system.
As shown in fig. 5, the storage module includes a memory bank, a storage controller and a data recorder, the storage controller is electrically connected with the memory bank and the data recorder respectively, the storage controller controls the data recorder to collect data of a test environment, test time and test result, and transmit the data to the memory bank for storage, the storage controller is responsible for transmitting the data from the host system to the memory bank and reading the data from the memory bank to the host system, the data recorder is used for recording data generated in the test process, and the data recorder collects the test data in real time including the test environment, the test time, the test result and the like, and stores the data in the memory bank.
The feedback control module comprises an evaluation engine unit for evaluating the performance of the MRAM according to test data and data analysis results, a feedback mechanism unit for feeding back the performance of the MRAM and a communication interface unit for transmitting the feedback results and the evaluation results, wherein the evaluation engine unit quantitatively evaluates the performance of the MRAM according to preset evaluation indexes and threshold values and comprehensively evaluates and feeds back the performance of the MRAM according to the requirements of practical application scenes, and the performance of the MRAM comprises a reading speed, a writing speed and an error rate; the feedback mechanism unit feeds back the performance of the MRAM according to the evaluation result of the evaluation engine and generates feedback information; and the communication interface unit transmits the evaluation result of the evaluation engine unit and the feedback information of the feedback mechanism unit to the display for visual display.
The early warning module comprises an abnormal detector, an early warning trigger and an alarm, wherein one end of the abnormal detector is connected with one end of the early warning trigger, and the other end of the early warning trigger is connected with one end of the alarm.
The anomaly detector monitors test data and data analysis results in real time through the steps of data collection, data cleaning, feature extraction, model construction, real-time monitoring and problem identification, so that problems related to the performance and stability of the MRAM are identified, early warning is triggered in time, the performance and stability of the MRAM are monitored and early warning is carried out in real time through the early warning module, potential problems are found and solved in time, and advice and guidance are provided for improving the reliability and stability of a storage system.
The optimization suggestion module comprises an optimization analyzer and an optimization suggestion generator, wherein the optimization analyzer discovers problems and bottlenecks existing in the MRAM through deep analysis of reading speed, writing speed and error rate indexes and analysis of information of test environments, test time and test results, the optimization suggestion generator generates optimization suggestions aiming at the MRAM through deep understanding and analysis of the problems, the optimization suggestions comprise adjustment of reading and writing strategies and replacement of storage media, the performance and stability of the MRAM are subjected to deep analysis through the test results and data analysis results, then corresponding optimization suggestions are generated according to the analysis results, the optimization suggestions can be displayed to a user through a user interface and guide the user to adjust and optimize the storage system, the user can adjust and repair the storage system according to the content of the optimization suggestions to improve the performance and stability of the storage system, and meanwhile, the optimization suggestion module can continuously improve and enhance the performance of the storage system according to self-learning and self-optimizing capabilities of the system.
During operation, the data collecting module collects operation data of the computer host under various environments, including environmental parameters of temperature, humidity and magnetic field, the data collecting and processing module processes and analyzes the collected operation data, the adaptive test model is built according to analysis results, the test execution module predicts the built adaptive test model to detect the performance and stability of the MRAM under different environments, the feedback control unit evaluates and feeds back the test results and the data analysis results to the performance of the MRAM, the optimization suggestion module is used for optimizing the result according to the performance of the MRAM, and the tester optimizes according to the optimization suggestion, so that the reliability problem of the MRAM due to fluctuation of the external temperature and the magnetic field is effectively solved, the adaptability and stability of the storage system are improved, and the normal operation and data safety of the computer host are ensured.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.

Claims (10)

1. The computer host running environment adaptability test system based on data analysis is characterized in that: the system comprises a data collection module for collecting operation data in a computer host operation environment, a data processing module for processing and analyzing the collected operation data, a model construction module for establishing an adaptive test model according to the processed data, a test execution module for predicting the adaptive test model, a storage module for storing test results, a feedback control module for evaluating and feeding back the performance of the MRAM, an early warning module for early warning according to the test results and an optimization suggestion module for providing optimization suggestions for the MRAM; the data collection module is electrically connected with the data processing module, the data processing module is electrically connected with the model building module, the model building module is electrically connected with the test execution module, the test execution module is electrically connected with the storage module and the feedback control module respectively, and the feedback control module is electrically connected with the early warning module and the optimization suggestion module respectively.
2. The data analysis-based computer host operating environment adaptability test system according to claim 1, wherein: the data collection module comprises a temperature sensor and a humidity sensor for monitoring the internal and external environment temperatures of the computer host, a magnetic field sensor for monitoring the magnetic field of the surrounding environment of the computer host, an MRAM performance monitor for monitoring the performance index of the MRAM and a data acquisition device, wherein the temperature sensor, the humidity sensor, the magnetic field sensor and the MRAM performance monitor are electrically connected with the data acquisition device, and the data acquisition device is used for preprocessing, filtering and converting the data of the electrical signals of the temperature sensor, the humidity sensor and the magnetic field sensor and the data of the MRAM performance monitor, and then transmitting the converted data to the data processing module.
3. The data analysis-based computer host operating environment adaptability test system according to claim 2, wherein: the data processing module comprises a data cleaning unit, a data conversion unit, an outlier processing unit, a trend analysis unit and a feature extraction unit, wherein the data cleaning unit is used for processing incomplete, inaccurate, abnormal or redundant data and transmitting the processed data to the data conversion unit, the data conversion unit is used for converting collected original data into a format which is easier to analyze and visualize, the outlier processing unit is used for deleting or filling abnormal data in data analysis, the trend analysis unit is used for identifying and extracting the change condition of the data with time in the data by using a regression analysis method, and the feature extraction unit is used for extracting features and indexes related to environmental factors and MRAM performance from the processed data.
4. The data analysis-based computer host operating environment adaptability test system according to claim 3, wherein: when the model construction module builds an adaptive test model, the model building type is selected according to the type of processed data, the model building type comprises a linear regression model, a decision tree model and a neural network model, the selected model is trained according to the processed data, the trained model is evaluated for performance by calculating the accuracy and recall rate of the model on a test data set, the model is optimized according to the evaluation result, the optimized content comprises the steps of adjusting model parameters, adding or reducing characteristics and replacing the model, the model after optimization is required to be trained and evaluated again, and finally the model after secondary evaluation is deployed into practical application.
5. The data analysis-based computer host operating environment adaptability test system according to claim 4, wherein: the test execution module comprises a test controller, a temperature test device, a magnetic field test device, an MRAM test platform, a data analysis processor and a display, wherein one end of the test controller is respectively and electrically connected with the temperature test device, the magnetic field test device and the MRAM test platform, the temperature test device, the magnetic field test device and the MRAM test platform are all connected with one end of the data analysis processor, and the other end of the data analysis processor is connected with the display.
6. The data analysis-based computer host operating environment adaptability test system according to claim 5, wherein: the storage module comprises a memory bank, a storage controller and a data recorder, wherein the storage controller is respectively and electrically connected with the memory bank and the data recorder, and the storage controller controls the data recorder to collect data of a test environment, test time and test results and transmit the data to the memory bank for storage.
7. The data analysis-based computer host operating environment adaptability test system according to claim 6, wherein: the feedback control module comprises an evaluation engine unit for evaluating the performance of the MRAM according to test data and data analysis results, a feedback mechanism unit for feeding back the performance of the MRAM and a communication interface unit for transmitting the feedback results and the evaluation results, wherein the evaluation engine unit quantitatively evaluates the performance of the MRAM according to preset evaluation indexes and threshold values and comprehensively evaluates and feeds back the performance of the MRAM according to the requirements of actual application scenes, and the performance of the MRAM comprises a reading speed, a writing speed and an error rate; the feedback mechanism unit feeds back the performance of the MRAM according to the evaluation result of the evaluation engine and generates feedback information; and the communication interface unit transmits the evaluation result of the evaluation engine unit and the feedback information of the feedback mechanism unit to a display for visual display.
8. The data analysis-based computer host operating environment adaptability test system according to claim 7, wherein: the early warning module comprises an abnormal detector, an early warning trigger and an alarm, wherein one end of the abnormal detector is connected with one end of the early warning trigger, and the other end of the early warning trigger is connected with one end of the alarm.
9. The data analysis-based computer host operating environment adaptability test system according to claim 8, wherein: the anomaly detector monitors test data and data analysis results in real time through the steps of data collection, data cleaning, feature extraction, model construction, real-time monitoring and problem identification, so as to identify problems related to the performance and stability of the MRAM and trigger early warning in time.
10. The data analysis-based computer host operating environment adaptability test system according to claim 9, wherein: the optimization suggestion module comprises an optimization analyzer and an optimization suggestion generator, wherein the optimization analyzer discovers problems and bottlenecks of the MRAM through deep analysis of reading speed, writing speed and error rate indexes and analysis of information of test environment, test time and test results, and the optimization suggestion generator generates optimization suggestions aiming at the MRAM through deep understanding and analysis of the problems, wherein the optimization suggestions comprise adjustment of reading and writing strategies and replacement of storage media.
CN202311681042.1A 2023-12-08 2023-12-08 Computer host running environment adaptability test system based on data analysis Pending CN117744029A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117971627A (en) * 2024-03-28 2024-05-03 深圳市领德创科技有限公司 Server host power-off test analysis system based on data analysis

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117971627A (en) * 2024-03-28 2024-05-03 深圳市领德创科技有限公司 Server host power-off test analysis system based on data analysis

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