Multifunctional hardware detection method with autonomous upgrading function

Abstract

The invention discloses a multifunctional hardware detection method with an autonomous upgrading function. The method comprises the following steps: initializing a detection environment; hardware state monitoring; executing the multifunctional detection module; performing autonomous upgrading judgment; executing autonomous upgrading; verifying after upgrading; collecting user feedback; a remote management interface; an early warning mechanism; and checking version compatibility. Whether hardware or a drive program, firmware and the like thereof need to be upgraded or not can be judged according to a detection result and a preset upgrading condition; and if upgrading is needed, specific upgrading content and version are determined. Obtaining an upgrade file from the reliable upgrade source; verifying the integrity and authenticity of the upgrade file; and executing upgrading operation, including backing up an existing system or data (if needed), installing an upgrading file, restarting hardware and the like.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a multifunctional hardware detection method with autonomous upgrading. Background Art

[0002] In the field of hardware detection technology, with the popularity and complexity of electronic devices, the detection and diagnosis of hardware failures have become particularly important. Traditional hardware detection methods often rely on manual experience and simple test tools, which are inefficient and have limited accuracy. In recent years, with the development of automated testing technology and intelligent algorithms, the field of hardware detection has made significant progress, but it still faces some technical challenges.

[0003] At present, there are many hardware detection methods and devices on the market, such as hardware failure risk detection methods based on startup time, chip back appearance detection methods, etc. These methods have improved the efficiency and accuracy of hardware detection to a certain extent, but there are still some limitations. For example, some methods may only be applicable to specific types of hardware or equipment and lack universality; or in some cases, the accuracy of the detection results is still affected by factors such as the environment and operating conditions.

[0004] Therefore, the present invention aims to provide a multifunctional hardware detection method with autonomous upgrade to overcome the deficiencies in the prior art. The innovation of the present invention lies in combining advanced automated testing technology and intelligent algorithms to achieve rapid and accurate detection of hardware failures. By comprehensively analyzing multiple parameters such as the startup time, operating status, and appearance characteristics of the hardware, the present invention can more comprehensively evaluate the health status of the hardware and promptly discover and warn of potential failure risks.

[0005] In summary, the present invention aims at the limitations of existing hardware detection technology and proposes a new solution to improve the efficiency and accuracy of hardware detection and provide a strong guarantee for the stable operation of electronic equipment. Summary of the invention

[0006] The present invention provides a multifunctional hardware detection method with autonomous upgrading, comprising:

[0007] A. Initialize the detection environment;

[0008] B. Hardware status monitoring;

[0009] C. Multifunctional detection module execution;

[0010] D. Autonomous upgrade judgment;

[0011] E. Autonomous upgrade execution;

[0012] F. Verification after upgrade;

[0013] G. User feedback collection;

[0014] H. Remote management interface;

[0015] i) Early warning mechanism;

[0016] j) Version compatibility check.

[0017] Furthermore, the software and hardware resources required for the detection are configured; initial detection parameters and upgrade strategies are set.

[0018] Furthermore, the operating status data of the hardware is obtained in real time or periodically; the hardware status data is analyzed to identify potential failures or performance degradations.

[0019] Furthermore, according to the hardware type and function, a corresponding detection module is selected; the detection module is executed to perform an all-round or multi-dimensional detection of the hardware, including performance, compatibility, stability, and security.

[0020] Furthermore, based on the detection results and preset upgrade conditions, determine whether the hardware or its driver or firmware needs to be upgraded; if an upgrade is required, determine the specific content and version of the upgrade.

[0021] Furthermore, the upgrade file is obtained from a reliable upgrade source; the integrity and authenticity of the upgrade file are verified; and the upgrade operation is performed, including backing up the existing system or data, installing the upgrade file, and restarting the hardware.

[0022] Furthermore, the upgraded hardware is retested to ensure that the upgrade is successful and the hardware performance or function is improved; if it is found that the upgrade is not successful or there are new problems, a rollback operation is performed or other remedial measures are taken.

[0023] Furthermore, during the detection or upgrade process, user feedback and usage experience are collected; based on user feedback, the detection method and upgrade strategy are optimized.

[0024] Furthermore, a remote management interface is provided to allow remote devices or administrators to configure, monitor and manage detection methods and upgrade strategies.

[0025] Furthermore, when it is detected that the hardware status is abnormal or close to the fault threshold, the early warning mechanism is triggered; the early warning information is sent to the user or administrator via email, SMS, in-app notification, etc.

[0026] Furthermore, before upgrading, the compatibility of the upgrade file with the current hardware version, operating system version, etc. is checked; if incompatible, the upgrade is suspended and the user or administrator is prompted.

[0027] Furthermore, the method is also applied to at least one of the following scenarios: detection and upgrade of personal computers and accessories; detection and upgrade of servers and network equipment; detection and upgrade of smart home devices; detection and upgrade of industrial automation equipment; and detection and upgrade of mobile devices.

[0028] In a first aspect, the present invention is a multifunctional hardware detection system with autonomous upgrade, comprising: a detection module, an upgrade module, a monitoring module, a user interface module, and a remote management module;

[0029] A detection module for performing multi-function detection of hardware;

[0030] An upgrade module is used to autonomously perform upgrade operations based on the detection results;

[0031] Monitoring module, used to monitor hardware status and upgrade process;

[0032] The user interface module is used to interact with users, including receiving user instructions, displaying detection results and upgrade progress, etc.

[0033] The remote management module is used to receive and manage configuration, monitoring and management instructions from remote devices or administrators through the remote management interface.

[0034] In a second aspect, the present invention also provides a hardware device, the teaching hardware device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the multifunctional hardware detection method with autonomous upgrading described in any embodiment of the present invention.

[0035] In a third aspect, a computer-readable storage medium stores computer instructions, wherein the computer instructions are used to enable a processor to implement the multifunctional hardware detection method with autonomous upgrade described in any one of the embodiments of the present invention when executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A flowchart of a multifunctional hardware detection method with autonomous upgrade provided by an embodiment of the present invention; DETAILED DESCRIPTION

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0038] Example 1

[0039] Figure 1 A flowchart of a multifunctional hardware detection method with autonomous upgrade provided by an embodiment of the present invention,

[0040] The method can be performed by a multifunctional hardware detection method with autonomous upgrade, which specifically includes the following steps:

[0041] S110, initializing the detection environment;

[0042] Initializing the test environment is an important part of hardware testing, which mainly involves hardware self-test, initialization and configuration settings. The following is a detailed description:

[0043] Hardware self-test:

[0044] During the computer startup process, the BIOS (Basic Input Output System) is the first program to run. It will perform a power-on self-test (POST) program to ensure that the system hardware is operating normally.

[0045] The self-test process checks the status of key components such as memory, graphics card, hard disk, CPU, etc. If the self-test finds a hardware failure, the BIOS will emit a warning sound or display an error message to help users identify the problem.

[0046] Hardware initialization:

[0047] After completing the self-test, the BIOS will configure each hardware device according to the preset parameters, that is, perform hardware initialization.

[0048] Initialization operations include allocating address space for memory, setting boot priority for the hard disk, configuring display mode for the graphics card, etc., to ensure that different hardware can cooperate with each other and prepare for the loading of the operating system.

[0049] Configuration settings:

[0050] The BIOS reads preset configuration information from non-volatile storage, which can be modified by the user through the BIOS setup program.

[0051] These settings include date and time, boot order (determining which device the operating system is loaded from), hardware configuration, and more.

[0052] According to the boot sequence in the BIOS settings, the BIOS will try to find the operating system loader from the specified device to load and start the operating system.

[0053] Peripheral device detection:

[0054] During the initialization process, BIOS also checks and identifies peripheral devices connected to the computer, such as keyboard, mouse, USB devices, etc., to ensure that they can work properly.

[0055] In summary, initializing the test environment is a comprehensive process that involves hardware self-test, initialization, configuration settings, and peripheral device testing. This process ensures that the computer hardware can work properly during startup and operation, and provides the necessary support for the loading and operation of the operating system.

[0056] S120, hardware status monitoring;

[0057] Hardware status monitoring is an important part of hardware detection methods. It involves real-time or regular inspection of various hardware components of devices such as computers or servers to ensure that they are in good working condition. The following is a detailed description of hardware status monitoring:

[0058] Hardware status monitoring mainly uses various means and technologies to monitor the hardware's operating status, performance parameters and potential failures in real time to ensure the stability and reliability of the system.

[0059] CPU status monitoring:

[0060] Monitor basic information such as CPU model, main frequency, number of cores, number of threads, cache size, etc.

[0061] Real-time monitoring of the CPU's operating temperature, usage rate, load, etc. to ensure that the CPU operates within a safe temperature range and avoids overload.

[0062] Use benchmark software to evaluate the CPU's performance to check whether it reaches the expected performance level.

[0063] Memory status monitoring:

[0064] Detect basic information such as memory capacity, frequency, type, number of slots, etc.

[0065] Monitor memory usage, read and write speeds, etc. in real time to ensure reasonable allocation and efficient use of memory resources.

[0066] Perform memory tests regularly, such as using tools such as Memtest86+, to detect memory failures or potential problems.

[0067] Hard disk status monitoring:

[0068] Detect basic information of the hard disk, such as interface type, capacity, rotation speed, cache size, etc.

[0069] Real-time monitoring of hard disk usage, read and write speeds, bad sectors, etc. to ensure data integrity and security.

[0070] Perform regular hard drive health checks, such as using SMART technology, to predict the hard drive's lifespan and potential failures.

[0071] Graphics card status monitoring:

[0072] Detect basic information of graphics card such as model, memory capacity, memory width, core frequency, etc.

[0073] Monitor the graphics card's operating temperature, usage rate, load, etc. in real time to ensure the graphics card runs within a safe temperature range and avoid overload.

[0074] Perform graphics performance tests to determine if your graphics card meets the requirements for specific applications, such as gaming, graphic design, etc.

[0075] Other hardware status monitoring:

[0076] Monitor basic information such as motherboard model, chipset, BIOS version, and the status of various interfaces and expansion slots on the motherboard.

[0077] Monitor the working status of the power supply, voltage output stability, etc. to ensure that the power supply can provide a stable and reliable power supply to the system.

[0078] Monitor the working status of peripherals such as display, keyboard, mouse, etc. to ensure that they can communicate and interact with the host normally.

[0079] Use professional tools for monitoring:

[0080] Use tools native to your operating system, such as the Windows Event Viewer or the Linux dmesg command, to identify hardware failures or anomalies.

[0081] Use management tools provided by manufacturers, such as Dell's OpenManage Essentials and HP's IntelligentProvisioning, to comprehensively monitor and manage server hardware.

[0082] Use third-party hardware monitoring software, such as HWMonitor, AIDA64, etc., to monitor the hardware status and performance parameters in real time.

[0083] Through hardware status monitoring, potential hardware problems can be discovered and resolved in a timely manner, thus avoiding serious consequences such as system crashes and data loss. At the same time, the hardware can also be upgraded or optimized based on the monitoring results to improve the overall performance and stability of the system.

[0084] S130, the multifunctional detection module executes;

[0085] The execution of the multi-function detection module in the hardware detection method mainly refers to the comprehensive and detailed verification and evaluation of the various functions of the hardware device through a series of comprehensive testing methods. The following is a detailed description of the execution of the multi-function detection module:

[0086] Detection module overview:

[0087] The multifunctional detection module is a key component of the hardware detection system. It integrates a variety of testing functions and tools and can perform comprehensive detection of various performance indicators of hardware devices.

[0088] This module usually includes multiple sub-modules such as hardware information query, performance testing, fault diagnosis, temperature monitoring, etc. Each sub-module detects a specific aspect of the hardware device.

[0089] Hardware information query:

[0090] Through the multi-functional detection module, you can query in detail the basic information of the hardware device, such as the model, specifications, manufacturer, as well as the real-time data such as the current status and working parameters of the hardware device.

[0091] This information helps technicians fully understand the configuration and status of hardware equipment, and provides basic data support for subsequent performance testing and fault diagnosis.

[0092] Performance Test:

[0093] The multi-function detection module can perform a variety of performance tests, including processor performance test, memory performance test, hard disk performance test, graphics card performance test, etc.

[0094] By simulating actual usage scenarios and increasing workloads, the performance of hardware devices under high load conditions is evaluated to identify potential performance bottlenecks and stability issues.

[0095] Troubleshooting:

[0096] When a hardware device fails, the multifunctional detection module can execute the fault diagnosis process, locate the fault point through a series of tests and analyses, and give corresponding maintenance suggestions.

[0097] This helps technicians quickly and accurately troubleshoot problems and restore hardware equipment to normal working condition.

[0098] Temperature monitoring:

[0099] The multifunctional detection module also has a temperature monitoring function, which can monitor the temperature changes of hardware equipment in real time and issue an alarm when the temperature is abnormal.

[0100] This helps prevent hardware damage or performance degradation due to overheating and ensures stable operation of hardware devices.

[0101] Execution process:

[0102] When performing multi-function detection, hardware information query is usually performed first to obtain basic information and current status of the device.

[0103] Then select the corresponding performance test items according to the test requirements, and test each performance indicator of the hardware equipment one by one.

[0104] During the test process, if any abnormality or fault is found, the fault diagnosis process will be immediately started to troubleshoot and repair it.

[0105] At the same time, temperature monitoring will be carried out throughout the testing process to ensure that the temperature of the hardware equipment is within a safe range.

[0106] In summary, the execution of the multi-function detection module is an important part of the hardware detection method. It comprehensively verifies and evaluates the various functions of the hardware equipment through comprehensive testing means, provides technicians with comprehensive and accurate hardware information, and helps ensure the stability and reliability of the hardware equipment.

[0107] S140, autonomous upgrade judgment;

[0108] Autonomous upgrade judgment is an important part of the hardware detection method, which mainly determines whether the hardware needs to be upgraded based on user needs and current hardware performance. The following is a detailed description:

[0109] First of all, users need to clarify their usage requirements. This includes the software used in daily life, the nature of work, entertainment needs, etc. For example, if users often do high-performance work such as graphic design or video editing, then the requirements for CPU, graphics card and memory will be relatively high.

[0110] Secondly, users need to understand the performance status of the current hardware. This can be achieved through the system's own detection tools or third-party professional software. For example, in Windows system, users can view the basic information and status of hardware through the device manager. In addition, professional software such as CPU-Z can provide more detailed hardware information, including detailed data of CPU, motherboard, memory, graphics card, etc.

[0111] After understanding the current hardware performance, users can compare their usage requirements with the hardware performance. If they find that the performance of a certain hardware component can no longer meet their needs, or if problems such as freezing and delays often occur during use, then they need to consider upgrading the hardware component.

[0112] Specifically, the following aspects are key factors to consider when making autonomous upgrade decisions:

[0113] CPU performance: If your CPU usage is frequently at 100%, or if processing speed is noticeably slow, you may need to upgrade your CPU.

[0114] Memory capacity: If the memory usage is too high when opening multiple software or performing large tasks, causing the system to respond slowly, then increasing the memory capacity may be a good choice.

[0115] Graphics card performance: For applications that require high graphics processing capabilities, such as graphic design and games, if the graphics card performance is insufficient, it may cause screen freezes or slow rendering speeds, so you need to consider upgrading the graphics card.

[0116] Hard disk speed and capacity: If the hard disk read and write speed becomes slower, or the capacity is close to saturation, it is necessary to upgrade the hard disk (such as replacing it with a solid-state drive) or increase the hard disk capacity.

[0117] Finally, users also need to consider the costs and benefits of upgrading. Upgrading hardware requires a certain amount of money, so users need to weigh whether the performance improvement brought by the upgrade is worth spending these costs. At the same time, they also need to consider whether the upgraded hardware is compatible with the existing system and other hardware components.

[0118] In summary, independent upgrade judgment is a process that comprehensively considers user needs, current hardware performance, and upgrade cost-effectiveness. Through reasonable judgment and selection, users can ensure that their hardware system is always in the best condition and meets various usage needs.

[0119] S150, autonomous upgrade execution;

[0120] Autonomous upgrade execution is a comprehensive process in hardware detection methods, involving multiple links such as demand assessment, hardware selection, data backup, hardware installation, system testing and optimization. The following is a detailed description:

[0121] Needs Assessment and Planning:

[0122] Before performing an autonomous upgrade, you first need to conduct a comprehensive assessment of the performance and requirements of the current hardware system. This includes analyzing the utilization and performance bottlenecks of key hardware such as CPU, memory, and hard disk, as well as considering future business needs and technology development trends.

[0123] Based on the assessment results, determine the goals and focus of the upgrade, such as increasing processing power, increasing storage capacity, or improving system stability.

[0124] Hardware selection and procurement:

[0125] According to the results of the demand assessment, select hardware components with higher performance and better compatibility for upgrading. This includes key components such as CPU, memory, hard disk, graphics card, etc.

[0126] When selecting hardware, you need to pay attention to parameters such as the hardware's interface type, speed, and capacity to ensure the compatibility of the new hardware with the existing system.

[0127] Communicate with suppliers to understand information such as hardware delivery cycle, price, and after-sales service, and develop a procurement plan.

[0128] Data backup and migration:

[0129] Before upgrading your hardware, be sure to perform a comprehensive backup of important data on your existing system. This can be done by creating a system snapshot, copying data to an external storage device, or using a cloud service.

[0130] The purpose of data backup is to ensure that even if an unexpected situation occurs during the upgrade process that causes data loss or damage, the data can be quickly restored to ensure business continuity.

[0131] Hardware installation and configuration:

[0132] After purchasing the hardware, follow the installation guide provided by the hardware vendor to install and configure the hardware. This includes steps such as removing the old hardware, inserting the new hardware, and updating the hardware drivers in the operating system.

[0133] When installing new hardware, you need to ensure that the hardware is installed correctly and follow anti-static and anti-damage operating specifications.

[0134] System testing and optimization:

[0135] After the hardware is installed and configured, a comprehensive performance test of the system is required. This can be done using professional testing software or tools to measure various performance indicators of the system, such as processing speed, read and write speed, etc.

[0136] Based on the test results, necessary optimization and adjustments are made to the system to ensure that the new hardware can fully exert its performance and meet business needs.

[0137] Optimization may include adjusting system parameters, updating drivers, optimizing software configuration, etc.

[0138] Update network and security settings:

[0139] After a hardware upgrade, you may need to update the configuration of network devices, optimize routing settings, and update firewalls and security policies to ensure that the server can communicate normally with other systems and ensure the security of the system.

[0140] In summary, autonomous upgrade execution is a comprehensive process involving multiple links. Through steps such as demand assessment, hardware selection, data backup, hardware installation, system testing and optimization, and updating network and security settings, the smooth progress of hardware upgrades can be ensured, and the performance and stability of the system can be improved.

[0141] S160, post-upgrade verification;

[0142] In the hardware detection method, the post-upgrade verification is a crucial link, which ensures the success of the hardware upgrade and the stable operation of the system. The following is a detailed description of the post-upgrade verification:

[0143] 1. Hardware compatibility verification

[0144] Confirm hardware compatibility:

[0145] Check the compatibility of the newly upgraded hardware with other components of the existing system, including the motherboard, power supply, heat sink, etc.

[0146] Confirm that the driver for the new hardware is compatible with the system and has been updated to the latest version.

[0147] Hardware connection check:

[0148] Check whether the new hardware is correctly installed and securely connected, including the power cable, data cable, etc.

[0149] Make sure all connection ports (such as USB, HDMI, network interface, etc.) are functioning properly.

[0150] 2. System startup and identification verification

[0151] System startup test:

[0152] After upgrading the hardware, restart the system to see if it can boot normally and enter the operating system. Check whether there are any error prompts or warning messages during the system startup process.

[0153] Hardware identification test:

[0154] After entering the system, check the device manager or related hardware management tools to confirm that the newly upgraded hardware has been correctly recognized by the system.

[0155] Confirm that the model, specifications and other information of the new hardware are consistent with those displayed on the system.

[0156] 3. Performance Testing and Evaluation

[0157] Benchmarks:

[0158] Use professional benchmark tools such as Cinebench, 3DMark, CrystalDiskMark, etc. to perform performance tests on the newly upgraded hardware.

[0159] Compare the test results with the performance data before the upgrade to evaluate the performance improvement.

[0160] Practical application test:

[0161] Test the performance of new hardware in actual application scenarios, such as running large software and processing high-load tasks.

[0162] Observe whether indicators such as system response time and processing speed meet expectations.

[0163] 4. Stability and reliability verification

[0164] Long running tests:

[0165] Allow the system to run for a long time (such as more than 24 hours continuously) in the new hardware environment to observe whether any abnormalities or faults occur.

[0166] Check system logs and hardware monitoring tools to confirm that the system is running stably and without abnormalities.

[0167] Stress Test:

[0168] Use stress testing tools to perform high-load tests on the system to simulate hardware performance under extreme usage scenarios.

[0169] Observe the performance and stability of the system under high load.

[0170] 5. User Experience and Feedback Collection

[0171] User feedback collection:

[0172] Encourage users to use the system on the new hardware and collect their feedback.

[0173] Pay attention to performance issues, compatibility issues, or other potential problems mentioned in user feedback.

[0174] User experience optimization:

[0175] Make necessary optimization and adjustments to the system based on user feedback and system test results.

[0176] Ensure that the newly upgraded hardware can provide users with a better user experience.

[0177] In summary, the post-upgrade verification is a comprehensive and meticulous process, which covers hardware compatibility, system startup and identification, performance, stability and reliability, user experience, etc. Through a rigorous verification process, the success of the hardware upgrade and the stable operation of the system can be ensured.

[0178] S170, user feedback collection;

[0179] In the hardware testing method, user feedback collection is a crucial link, which is directly related to the improvement of product quality and the improvement of user satisfaction. The following is a detailed description of user feedback collection:

[0180] 1. Establish diverse feedback channels

[0181] In order to ensure that user feedback can be collected comprehensively and timely, multiple feedback channels need to be established. These channels may include:

[0182] User survey: Design questionnaires or online surveys to directly ask users about their experience, problems they encounter, and suggestions for improvement.

[0183] Customer support feedback: Use daily communication between the customer support team and users to collect problems and opinions encountered by users when using hardware products.

[0184] Social media monitoring: Monitor users’ discussions and comments about products on social media platforms, and promptly identify and respond to user feedback.

[0185] In-app survey: Embed feedback components in the supporting applications or systems of hardware products to directly collect real-time feedback from users during use.

[0186] 2. Ensure accessibility and privacy of feedback

[0187] Simplify the feedback process: Design a concise and clear feedback submission interface to reduce the difficulty and threshold for users to submit feedback.

[0188] Protect user privacy: When collecting user feedback, the privacy protection policy should be strictly followed to ensure the security and confidentiality of user information.

[0189] 3. Actively guide user feedback

[0190] Set prompts: Send feedback prompts to users at appropriate times to encourage them to share their usage experiences and suggestions.

[0191] Open-ended questions: When collecting feedback, use open-ended questions to guide users to describe their needs and problems in detail in order to gain a deeper understanding of users’ true thoughts.

[0192] 4. Regularly analyze and organize feedback

[0193] Data collation: Conduct preliminary collation of the collected feedback data, remove duplicate or invalid data, and ensure the accuracy and validity of the data.

[0194] Classification analysis: Classify feedback data according to different dimensions, such as product functions, performance, appearance, etc., in order to more clearly understand user feedback on different aspects.

[0195] Trend identification: By comparing feedback data from different time periods, we can identify trends and changes in user feedback and provide strong support for product improvement.

[0196] 5. Improve products based on user feedback

[0197] Develop improvement plans: Based on the analysis results of user feedback, develop specific product improvement plans, including fixing defects, optimizing performance, adding new features, etc.

[0198] User testing: After making product improvements, invite users to test them and collect their feedback to ensure the effectiveness of the improvements.

[0199] Continuous tracking: Continuously track and monitor user feedback to ensure that the product always meets user needs and continuously improves user experience.

[0200] In summary, collecting user feedback is an indispensable part of hardware testing methods. By establishing diverse feedback channels, ensuring easy access to feedback and privacy protection, actively guiding user feedback, regularly analyzing and organizing feedback, and combining user feedback for product improvement, the quality of hardware products and user experience can be continuously improved.

[0201] S180, remote management interface;

[0202] Remote management interface is a technical feature or function used in hardware detection methods to remotely manage and monitor servers or other computing devices. It allows administrators to connect to the device through the network and perform various management operations without having to physically touch the device itself. The following is a detailed description of remote management interface:

[0203] Definition and function:

[0204] The remote management interface provides a way to remotely access and manage the server, and administrators can obtain the same permissions and functions as local access.

[0205] Through this interface, administrators can remotely execute operating system commands, install or uninstall software, modify settings, monitor device status, etc.

[0206] Key features:

[0207] Remote access: Administrators can remotely connect to the server through the network to perform various management operations.

[0208] Remote control: allows administrators to remotely operate the server as if they were locally, including executing commands, modifying configurations, etc.

[0209] Remote monitoring: View the server's operating status, hardware health, performance indicators (such as CPU usage, memory usage, etc.) and network connection status in real time.

[0210] Remote fault diagnosis and repair: When a server encounters a fault, the administrator can obtain fault information through the remote management interface, perform diagnosis, and take appropriate repair measures.

[0211] Common interfaces and technologies:

[0212] IPMI (Intelligent Platform Management Interface): A standard interface for managing and monitoring computer system hardware, providing a standardized set of remote management functions that can be managed even when the operating system crashes or is not started.

[0213] iLO (Integrated LightsOut): A server management technology developed by HP. The iLO interface enables remote server management and control, including remote power control, virtual media operations, etc.

[0214] SNMP (Simple Network Management Protocol): plays a key role in remote network management. Administrators can use SNMP management software to perform a comprehensive status check on the server.

[0215] Web interface: Administrators can view server status in real time through the web interface and perform multiple operations, such as checking CPU and memory usage, and adjusting BIOS settings.

[0216] Command Line Interface (CLI): Provides a more flexible and automated management method, especially suitable for batch processing and server configuration.

[0217] Safety and measures:

[0218] Because the remote management interface provides access to critical management functions of the server, security is of paramount importance.

[0219] Usually, encryption protocols (such as SSL and SSH) are used to establish secure communication channels, configure access rights and password protection, and other security measures to protect remote access channels and sensitive data.

[0220] Hardware implementation:

[0221] Remote management interfaces are typically integrated into the server motherboard or other basic hardware of a computing device and may include an independent processor, sensors (for monitoring temperature, voltage, etc.), logging capabilities, etc.

[0222] Common hardware interface types include RJ45 Ethernet interface, serial port interface, etc. Some server manufacturers also provide KVM over IP technology to provide more comprehensive remote management functions.

[0223] In summary, the remote management interface is a powerful and flexible tool in the hardware detection method, which enables administrators to remotely manage and monitor servers or other computing devices, improve management efficiency and reduce maintenance costs. At the same time, security is also an integral part of the remote management interface design to ensure data security during remote access and management.

[0224] S190, early warning mechanism;

[0225] The early warning mechanism in the hardware detection method is a method that detects and notifies potential hardware failures in advance through real-time monitoring, data analysis and prediction technology. The following is a detailed description of the early warning mechanism in the hardware detection method:

[0226] Real-time monitoring:

[0227] The basis of the early warning mechanism is to monitor the operating status of the hardware in real time, including the monitoring of key hardware components such as CPU, memory, hard disk, power supply, and cooling system.

[0228] The monitored parameters may include physical quantities such as temperature, voltage, current, and speed, as well as performance indicators such as error logs and fault alarms.

[0229] Real-time monitoring is achieved through the hardware health monitoring system, which collects key parameters and performance indicators, builds hardware health profiles, and provides a basis for fault warning and prediction.

[0230] Data Analysis:

[0231] The collected data needs to be processed through data analysis technology to reveal the occurrence patterns and potential trends of hardware failures.

[0232] Commonly used data analysis methods include time series analysis, machine learning algorithms (such as classification, regression, clustering, etc.) and deep learning models.

[0233] These methods are able to automatically identify anomalous patterns in data, predict potential hardware failures, and assess the likelihood of failure.

[0234] Warning trigger:

[0235] When the data analysis results indicate a potential hardware failure, the early warning mechanism triggers a warning signal.

[0236] Warning signals may be sent through a variety of methods, such as text messages, emails, phone calls, etc., to ensure that system administrators can receive and respond in a timely manner.

[0237] Warning information usually includes the type, location, severity and recommended countermeasures of the fault.

[0238] Failure prediction:

[0239] In addition to real-time monitoring and data analysis, the early warning mechanism also uses historical data and trend analysis to predict possible future failures.

[0240] Through technologies such as machine learning and data mining, the early warning mechanism can analyze historical failure data, identify failure modes, and predict the probability and timing of future failures.

[0241] This enables system administrators to take preventive measures before a failure occurs, avoiding or reducing the impact of the failure on the system.

[0242] Response and processing:

[0243] After receiving the warning information, the system administrator needs to respond quickly and take appropriate measures.

[0244] This may include checking hardware status, replacing failed components, adjusting system configuration, etc.

[0245] At the same time, system administrators also need to develop and implement fault recovery plans based on the suggestions provided in the warning information to ensure the stable operation of the system.

[0246] In summary, the early warning mechanism in the hardware detection method constitutes a complete fault early warning and prediction system through real-time monitoring, data analysis, early warning triggering, fault prediction, response and processing, etc. This mechanism can detect and notify potential hardware failures in advance, providing system administrators with enough time to take countermeasures, thereby effectively ensuring the stability and reliability of the system.

[0247] S200, version compatibility check.

[0248] The version compatibility check in the hardware detection method is mainly to ensure that the versions of hardware components and hardware and software match each other to ensure stable operation and optimal performance of the system. The following is a detailed description of the version compatibility check:

[0249] Motherboard and CPU version compatibility:

[0250] The motherboard is the core component of the computer, and its version determines the supported CPU type, memory specifications, etc. Therefore, you must first determine the model and version of the motherboard.

[0251] Next, you need to visit the official website of the motherboard manufacturer, find the CPU compatibility list, and confirm whether the selected CPU model is compatible with the motherboard, including slot type, chipset version, etc.

[0252] Memory and motherboard version compatibility:

[0253] The choice of memory also needs to consider version compatibility. You need to check the memory type (such as DDR4, DDR5), maximum capacity and supported memory frequency supported by the motherboard.

[0254] Make sure the memory module you choose matches the requirements of the motherboard to avoid performance issues or boot failures caused by version mismatches.

[0255] Storage device and motherboard version compatibility:

[0256] When selecting a hard drive or SSD, make sure its interface type (such as SATA, SAS, NVMe) matches the motherboard's support.

[0257] As technology continues to evolve, new storage interfaces are constantly emerging, so it is important to check carefully to ensure that the storage device can connect properly and perform at its maximum performance.

[0258] Power supply and system version compatibility:

[0259] The power supply unit (PSU) must be able to meet the power consumption requirements of the system. This includes the power consumption of the CPU, memory, storage devices, and other accessories.

[0260] At the same time, you also need to confirm whether the power connector type matches the motherboard and other components to ensure that the power supply can power the system correctly and stably.

[0261] Expansion card and motherboard version compatibility:

[0262] If you need to install a graphics card, network card, or other expansion card, you need to confirm that the slot type provided by the motherboard (such as PCIex16, PCIe x1) matches the requirements of the expansion card.

[0263] In addition, you need to check the internal space of the chassis to ensure that it can accommodate the required expansion cards and avoid installation problems caused by incompatible versions.

[0264] Driver and firmware update version compatibility:

[0265] Hardware compatibility involves more than just physical connectivity, it also includes version compatibility of drivers and firmware updates.

[0266] Make sure to download the latest drivers and firmware from the manufacturer's website to optimize system performance and stability. This can help resolve performance issues or failures that may be caused by incompatible versions.

[0267] Comprehensive testing and verification:

[0268] After completing the version compatibility check of each component, comprehensive testing and verification is required. This can be achieved by assembling the system and running a series of test software to ensure that the components work together normally and there are no version compatibility issues.

[0269] In summary, version compatibility check is an indispensable part of hardware detection methods. By carefully checking the version information of each component and ensuring their compatibility, you can ensure stable operation and optimal performance of the system.

[0270] Example 2

[0271] The following is a specific implementation example, taking the hardware detection of the electric vehicle battery management system (BMS) as an example, to demonstrate the practical application of this multifunctional hardware detection method with autonomous upgrades:

[0272] S110, initializing the detection environment;

[0273] Before conducting BMS hardware testing, first ensure that the testing environment is stable and reliable, including power supply, temperature control, humidity control, etc., to simulate the environmental conditions of the BMS in actual operation.

[0274] S120, hardware status monitoring;

[0275] During the detection process, the hardware status of the BMS is monitored in real time, including key parameters such as voltage, current, and temperature, to ensure that the hardware operates within the normal range.

[0276] S130, the multifunctional detection module executes;

[0277] The multifunctional detection module is used to conduct comprehensive testing of the BMS, including functional verification, performance testing, safety testing, fault diagnosis, etc. For example, the battery charging and discharging process can be simulated to verify the BMS's charging and discharging control, voltage and current monitoring, temperature management and other functions.

[0278] S140, autonomous upgrade judgment;

[0279] During the detection process, the system determines whether the BMS software version needs to be upgraded. This is usually based on a comparison with the latest version, or based on detected performance bottlenecks or security vulnerabilities.

[0280] S150, autonomous upgrade execution;

[0281] If an upgrade is determined to be necessary, the system will automatically download and install the latest software version. This process may involve communicating with a remote server to obtain the upgrade package.

[0282] S160, post-upgrade verification;

[0283] After the upgrade is complete, the system will undergo a series of verification tests to ensure that the upgraded BMS hardware and software are working properly and have improved performance.

[0284] S170, user feedback collection;

[0285] The system may collect user feedback through the remote management interface (H) to understand the performance of the upgraded BMS in actual operation. This helps to further optimize the detection method and upgrade strategy.

[0286] S180, remote management interface;

[0287] Provides a remote management interface, allowing engineers to remotely monitor, configure and upgrade the BMS. This improves the efficiency of detection and maintenance, and reduces the cost and risk of on-site operations.

[0288] S190, early warning mechanism;

[0289] During the detection process, if potential problems or failures are found in the BMS, the system will immediately trigger the early warning mechanism and notify relevant personnel to deal with it in a timely manner.

[0290] S200, version compatibility check.

[0291] Before upgrading, the system will perform a version compatibility check to ensure that the new software version is compatible with the existing hardware and software environment. This helps avoid compatibility issues that may occur during the upgrade process.

[0292] Through the above steps, this multifunctional hardware detection method with self-upgrade can ensure the reliability and stability of the BMS, while improving the efficiency of detection and maintenance. Please note that this is just a specific implementation example, and actual applications may need to be adjusted according to specific hardware and detection requirements.

[0293] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, at least one input device, and at least one output device.

[0294] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0295] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0296] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0297] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0298] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0299] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0300] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A multifunctional hardware detection method with autonomous upgrade, characterized in that: include: A. Initialize the detection environment; B. Hardware status monitoring; C. Multifunctional detection module execution; D. Autonomous upgrade judgment; E. Autonomous upgrade execution; F. Verification after upgrade; G. User feedback collection; H. Remote management interface; i) Early warning mechanism; j) Version compatibility check.

2. The method according to claim 1, characterized in that include: The method configures the software and hardware resources required for the detection, and sets initial detection parameters and upgrade strategies.

3. The method according to claim 1, characterized in that include: The method obtains the operating status data of the hardware in real time or periodically; Analyze hardware status data to identify potential failures or performance degradation.

4. The method according to claim 1, characterized in that include: The method selects a corresponding detection module according to the hardware type and function; Execute the detection module to conduct all-round or multi-dimensional detection of the hardware, including performance, compatibility, stability, and security.

5. The method according to claim 1, characterized in that include: The method determines whether it is necessary to upgrade the hardware or its driver, firmware, etc. according to the detection results and preset upgrade conditions; If an upgrade is required, determine the specific content and version of the upgrade.

6. The method according to claim 1, characterized in that include: The method obtains the upgrade file from a reliable upgrade source; Verify the integrity and authenticity of the upgrade file; perform upgrade operations, including backing up the existing system or data, installing the upgrade file, and restarting the hardware.

7. The method according to claim 1, characterized in that include: The method re-tests the upgraded hardware to ensure that the upgrade is successful and the hardware performance or function is improved; If the upgrade is found to be unsuccessful or new problems arise, roll back or take other remedial measures.

8. The method according to claim 1, characterized in that include: The method collects user feedback and usage experience during the detection or upgrade process; Optimize detection methods and upgrade strategies based on user feedback.

9. The method according to claim 1, characterized in that: include: The method provides a remote management interface, allowing a remote device or administrator to configure, monitor and manage the detection method and upgrade strategy.

10. The method according to claim 1, characterized in that include: The method triggers an early warning mechanism when it detects that the hardware status is abnormal or close to a fault threshold; Send warning information to users or administrators via email, SMS, in-app notifications, etc.

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