Multifunctional health detection method and system based on tablet computer

Abstract

The invention discloses a multifunctional health detection method and system based on a tablet personal computer, and relates to the field of tablet personal computer detection, and the main scheme is as follows: respectively calculating a comprehensive efficiency index and a display screen comprehensive index by simulating different temperature and humidity state environments; evaluating a system stability evaluation index by simulating a user operation behavior; obtaining a comprehensive efficiency index, further obtaining a health coefficient, setting a grade threshold interval set, respectively comparing the comprehensive efficiency index, the system stability evaluation index, the screen evaluation index and the health coefficient with threshold intervals in the set grade threshold interval set, and judging evaluation grading of the indexes; an objective basis is provided for evaluation grading of each index, so that randomness of subjective judgment is avoided, and the evaluation process is more scientific and normative; and a complex evaluation process is converted into simple grade evaluation, so that a user can intuitively know the health condition of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of tablet computer detection, and specifically provides a multi-functional health detection method and system based on a tablet computer. Background Art

[0002] With the rapid development of technology, tablet computers, with their portability, versatility, and powerful computing capabilities, have shown broad application prospects in multiple fields such as education, medical care, office work, and entertainment. In the field of education, tablet computers have become powerful assistants for students and teachers. Abundant learning resources and convenient interactive functions have greatly improved the learning efficiency and quality. In the medical field, as an important terminal for mobile healthcare, tablet computers are widely used in scenarios such as medical record management, medical image viewing, and remote medical consultations, providing efficient and convenient tools for medical workers. In the office field, tablet computers combine the computing power of laptops and the portability of mobile phones, becoming the preferred device for mobile office work, meeting the needs of business people to handle work anytime and anywhere. In the entertainment field, with their high-definition screen displays and powerful multimedia processing capabilities, tablet computers provide users with immersive audio-visual experiences, meeting users' needs whether for watching videos, playing games, or engaging in artistic creation.

[0003] Necessity of tablet computer health status monitoring: However, despite the wide application of tablet computers in various fields, their health status is often overlooked. As an electronic device frequently used in daily life, the health status of a tablet computer directly affects the user experience and the service life of the device. As the usage time increases, tablet computers may face problems such as hardware aging, software conflicts, and system vulnerabilities. These problems may not only lead to a decline in device performance and running lags, but may even cause serious consequences such as data loss and security vulnerabilities. Especially in some key fields such as medical care and finance, the stability of tablet computers is crucial. Once a failure occurs, it may have a serious impact on work processes and business operations. Therefore, it is of great significance to monitor and evaluate the health status of tablet computers.

[0004] However, existing tablet computer health monitoring technologies have some deficiencies. On the one hand, most monitoring methods only target single hardware or software metrics and lack a comprehensive evaluation of the overall health status of the device. Summary of the Invention

[0005] (1) Technical Problems to be Solved

[0006] In view of the deficiencies of the prior art, the present invention provides a multi-functional health detection method based on a tablet computer, which at least solves the problems of single detection method and lack of comprehensive evaluation in the prior art, and the problem of tablet computer detection.

[0007] (2) Technical Solutions

[0008] To achieve the above object, the present invention is realized by the following technical solutions: A multi-functional health detection method based on a tablet computer, including:

[0009] Step 1: Construct an environmental simulation laboratory, and simulate different weather environments by controlling the environmental parameters in the laboratory;

[0010] Step 2: Simulate different temperature state environments through the laboratory, and respectively test the operation data of the tablet computer in different temperature environments. By analyzing the operation data, obtain the comprehensive performance index of the tablet computer;

[0011] Step 3: Simulate different humidity state environments through the laboratory, and respectively test the operation data of the tablet computer display screen in different humidity environments. By analyzing the operation data, obtain the pixel response time, touch response time and average position deviation of the display screen under different humidities, and further calculate the comprehensive index of the display screen;

[0012] Step 4: By imitating the user's operation behavior, record various operation response data during the operation of the software, and calculate the system stability evaluation index;

[0013] Step 5: Through comprehensive analysis of the comprehensive performance index, system stability evaluation index and screen evaluation index, obtain the health coefficient;

[0014] Step 6: Set a set of level threshold intervals, compare the comprehensive performance index, system stability evaluation index, screen evaluation index and health coefficient with the threshold intervals in the set of level threshold intervals respectively, and determine the evaluation rating of the index.

[0015] In the preferred solution of the above multi-functional health detection method based on a tablet computer, in Step 2, by analyzing the operation data in different temperature environments, calculate the comprehensive performance index, and the formula is as follows:

[0016]

[0017] Among them, T i represents the total test duration under different temperature states; Ts j represents the usage battery life under different operating states; W Ti represents the dynamic weight coefficient of different temperature states; W TsjThe dynamic weight coefficients representing different operating states; α represents the attenuation factor, β represents the power fluctuation penalty coefficient; Pmax represents the maximum power among the average power under different temperature states and the average power under different operating states; Pavg represents the average power among the average power under different temperature states and the average power under different operating states; i represents the serial number of different temperature states; j represents the serial number of different operating states.

[0018] In the preferred solution of the above-mentioned multifunctional health detection method based on a tablet computer, the calculation method of the attenuation factor is as follows:

[0019]

[0020] Among them, e is a constant; λ represents the temperature sensitivity coefficient; T1 represents the total test duration in the low-temperature state; T2 represents the total test duration at room temperature; T3 represents the total test duration in the high-temperature state; TS1 represents the usage battery life in the light usage state; TS3 represents the usage battery life in the heavy usage state.

[0021] In the preferred solution of the above-mentioned multifunctional health detection method based on a tablet computer, the formula for calculating the weight coefficients of different temperature states and different operating states is as follows:

[0022]

[0023] Among them, E i represents the information entropy of different temperature states; E j represents the information entropy of different operating states.

[0024] In the preferred solution of the above-mentioned multifunctional health detection method based on a tablet computer, the formula for calculating the information entropy of different temperature states and different operating states based on the entropy weight method is as follows:

[0025]

[0026] In the preferred solution of the above-mentioned multifunctional health detection method based on a tablet computer, the method for calculating the screen comprehensive index is as follows:

[0027] Calculate the screen evaluation index through the pixel response time, average position deviation value, and touch response time after preprocessing. The formula is as follows:

[0028]

[0029] Among them, Sc represents the screen evaluation index, Pm z represents the normalized value of different parameters, z represents the serial number of different parameters; w z represents the weight coefficient corresponding to different parameters; μ1 represents the first collaborative gain coefficient;

[0030] The method for calculating the dynamic correction factor is as follows:

[0031]

[0032] Among them, Pen represents the dynamic correction factor;

[0033] The formula for calculating the screen comprehensive index based on the screen evaluation index and the dynamic correction factor is as follows:

[0034] Fin = Sc × Pen;

[0035] Among them, Fin represents the screen comprehensive index.

[0036] In the preferred solution of the above-mentioned multi-functional health detection method based on a tablet computer, in step four, through the test tool and script, the operation data of the software under different function modules can be obtained, and the system stability evaluation index can be calculated based on this data. The formula is as follows:

[0037]

[0038] Among them, S represents the system stability evaluation index, F represents the error occurrence rate; To d represents the d-th performance efficiency index, and d represents the serial number of different operation parameters; H d represents the weight coefficient of the d-th performance efficiency index; C represents the CPU occupancy rate; M represents the memory occupancy rate.

[0039] In the preferred solution of the above-mentioned multi-functional health detection method based on a tablet computer, in step five, by comprehensively analyzing the comprehensive effectiveness index, the system stability evaluation index, and the screen evaluation index, the health coefficient is calculated. The formula is as follows:

[0040] JK = ρ1·E eff +ρ2·Fin + ρ3·S + η2·(E eff ·Fin·S);

[0041] Among them, JK represents the health coefficient, ρ1 represents the weight coefficient of the comprehensive effectiveness index; ρ2 represents the weight coefficient of the screen evaluation index, ρ3 represents the system stability evaluation index; η2 represents the second collaborative gain coefficient.

[0042] In the preferred solution of the above-mentioned multi-functional health detection method based on a tablet computer, the set of grade threshold intervals includes the effectiveness interval threshold, the system stability interval threshold, the screen evaluation interval threshold, and the health coefficient interval threshold; among them:

[0043] The effectiveness interval threshold is:

[0044]

[0045] The system stability interval threshold is:

[0046]

[0047] The screen evaluation interval threshold is:

[0048]

[0049] The health coefficient interval threshold is:

[0050]

[0051] Compare the threshold intervals corresponding to the comprehensive performance index, system stability evaluation index, screen evaluation index, and health coefficient respectively to obtain the evaluation grading of the index and generate an evaluation report.

[0052] (3) Beneficial effects

[0053] The present invention provides a multifunctional health detection method based on a tablet computer, having the following beneficial effects:

[0054] (1) Construct an environmental simulation laboratory. By simulating various environmental conditions, comprehensively understand the performance of the tablet computer under different environmental conditions such as temperature and humidity, providing a scientific basis for the use and evaluation of the device. And by simulating different temperature environments, deeply understand the operating state of the tablet computer under high temperature, low temperature and other conditions, helping users adjust the usage strategy according to different temperature environments and optimize the device performance. This accurate temperature adaptability assessment ensures the efficient operation of the device in different temperature scenarios, improves the stability and reliability of the device, and ensures that it can maintain a good working state under various temperature conditions, meeting the usage needs of users in different environments. Overcome the problem that the prior art insufficiently considers the influence of environmental temperature and humidity on the performance of the tablet computer and is difficult to accurately evaluate the actual performance of the display screen in different humidity environments.

[0055] (2) Test by mimicking user operation behaviors to truly reflect the stability of the tablet computer in actual use. This evaluation method helps developers discover potential problems and optimize and repair them in a timely manner.

[0056] (3) By analyzing multiple indices comprehensively, the health status of the tablet computer is evaluated comprehensively, and the health level of the device is presented intuitively through level determination. This comprehensive health assessment system provides users with an overview of the overall health status of the device, helps them detect potential problems in a timely manner, take corresponding maintenance measures, optimize device usage, extend the service life of the device, improve the reliability and stability of the device, and ensure the good operation of the tablet computer under various environments and usage conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the steps of a multifunctional health detection method based on a tablet computer according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] Next, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0059] Embodiment 1

[0060] Please refer to Figure 1 , the present invention provides a multifunctional health detection method based on a tablet computer, including:

[0061] Step 1: Construct an environmental simulation laboratory, and simulate different weather environments by controlling the environmental parameters in the laboratory.

[0062] Step 101: Select a space and install environmental adjustment equipment in the space, specifically: a temperature and humidity control system, such as a constant temperature and humidity box using PID control; a light simulation system, such as a full-spectrum LED array; a pressure adjustment device, such as a vacuum pressure controller; an air flow circulation system, such as a silent fan with a wind speed sensor, etc.

[0063] In this step, by integrating a variety of advanced environmental adjustment equipment, different weather environments can be simulated in all directions, providing diverse scenarios for the performance test of the tablet computer. For example, the constant temperature and humidity box using PID control can accurately control the temperature and humidity, the full-spectrum LED array can simulate various lighting conditions, the vacuum pressure controller can adjust the air pressure, and the silent fan and the wind speed sensor form an air flow circulation system. This comprehensive environmental adjustment ability enables the laboratory to change multiple environmental parameters simultaneously, comprehensively evaluate the performance of the tablet computer, and provide reliable data support for studying its performance under different climates.

[0064] Step 102: Arrange multi-parameter environmental sensors, such as temperature sensors, humidity sensors, barometric pressure sensors, and light sensors, etc. There are multiple sensors of each type, which are set at multiple data acquisition points in the space to comprehensively detect the environmental parameter data in the space.

[0065] In this step, the reasonable arrangement of the multi-parameter environmental sensors can comprehensively monitor the environmental parameters in the space. The cooperation of multiple sensors can obtain parameters such as temperature and humidity in real time. Multiple monitoring points eliminate blind spots and accurately capture parameter changes. This helps to understand the laboratory environmental conditions in real time, provides data support for the precise control of environmental adjustment equipment, makes the evaluation of the environmental adaptability of the tablet computer more comprehensive and accurate, and can also analyze the influence law of environmental parameters on the tablet computer performance through data accumulation.

[0066] Step 103: Through the environmental adjustment equipment, cooperate with multiple sensors to precisely adjust the environmental indicators in the space and simulate different weather environments.

[0067] In this step, the environmental adjustment equipment and sensors cooperate to accurately control the environmental indicators to simulate real weather. If it is necessary to simulate a high-temperature and high-humidity environment, the constant temperature and humidity chamber is heated and humidified, the fan adjusts the air flow, the sensors give real-time feedback, and the equipment automatically adjusts to ensure precision and stability. This provides a realistic environment for the performance test of the tablet computer and makes the test results more real and reliable.

[0068] Step 2: Simulate different temperature state environments through the laboratory, and respectively test the operation data of the tablet computer in different temperature environments. By analyzing the operation data, obtain the comprehensive efficiency index of the tablet computer at different temperatures;

[0069] Step 201: Through the laboratory, simulate low-temperature state, room-temperature state, and high-temperature state, which can be set to 0°C, 25°C, and 40°C respectively. Different temperature states can be adjusted according to the usage requirements. After waiting for the laboratory temperature to reach the preset temperature and remain for 10 minutes, conduct the test.

[0070] Step 202: Record the initial power of each test. Install the same test software on the tablet computer. This software can simulate daily usage scenarios, such as continuously playing local high-definition videos, running simple office software, etc., to ensure that the device is in a relatively stable load state. Place the computer in the laboratory, and at the same time connect a power meter to record the real-time power of the device operation in real time. Start the test software, and at the same time start a timer. During the test, record the real-time power value displayed by the power meter and the remaining battery percentage of the tablet computer every 15 minutes until the computer runs out of power, and collect the total test duration during the test;

[0071] Step 203: Conduct multiple tests for each temperature state, and obtain the average value of the total test duration in each state as the total test duration for this state; calculate the average power of each test, and then calculate the average value of the average powers in different temperature states respectively to obtain a value as the average power in each temperature state; the formula for each test is: average power = sum of all power values recorded during the test / number of records.

[0072] Step 204, Set the computer to different usage states. For example, in the light usage state, set the screen brightness to 50%, Wi-Fi, no background processes, and loop play local videos, and the video can be set to 720P; in the medium usage state, the screen brightness is 70%, 5G network connection, synchronously log in to emails and social media in the background, and simulate web browsing through Selenium scripts; the heavy usage state can be set to screen brightness 100%, Bluetooth + GPS turned on, and run GFXBench for continuous rendering; and at room temperature, collect the usage endurance time in different usage states; during the test, record the real-time power value displayed by the power meter every 15 minutes until the computer runs out of power, and calculate the average value of the average powers in different operating states respectively to obtain a value as the average power in each temperature state.

[0073] Step 205: Normalize the above parameters to eliminate the influence of dimensions, which is convenient for the calculation of subsequent steps. Calculate the comprehensive efficiency index based on the total test duration in different temperature states and the usage endurance time in different usage states after preprocessing. The formula is as follows.

[0074]

[0075] Among them, T i represents the total test duration in different temperature states; Ts j represents the usage endurance time in different operating states; W Ti represents the dynamic weight coefficient in different temperature states; W Tsj represents the dynamic weight coefficient in different operating states; α represents the attenuation factor, β represents the power fluctuation penalty coefficient, and can be obtained by fitting using the least squares method; Pmax represents the maximum power among the average powers in different temperature states and the average powers in different operating states; Pavg represents the average power among the average powers in different temperature states and the average powers in different operating states; i represents the serial number of different temperature states, and the values are 1, 2, or 3, representing the low temperature state, room temperature state, and high temperature state respectively; j represents the serial number of different operating states, and the values are 1, 2, or 3, representing the light usage state, medium usage state, and heavy usage state respectively.

[0076] It should be noted that different weights are assigned considering the performance of the device under different temperatures and usage conditions, making the evaluation more flexible. The decay factor and the power fluctuation penalty coefficient take into account the performance stability of the device, making the results more realistic and reliable, providing a strong basis for users to make choices and manufacturers to optimize. The dynamic weight coefficient makes the evaluation more scientific. The weight is determined according to the information entropy, which reflects the data difference and the amount of information. For example, if the difference in the total test duration at a certain temperature is large and the information entropy is high, the weight will be large, highlighting the impact of the device's performance at that temperature on the overall efficiency and improving the evaluation accuracy. The power fluctuation penalty coefficient makes the evaluation more accurate. By analyzing the impact of power fluctuation on the device's performance and battery life, devices with large power fluctuations are penalized. If a device has large power fluctuations under different temperatures or usage conditions, it indicates poor stability.

[0077] Step 206: The calculation method of the decay factor is as follows:

[0078]

[0079] where e is a constant; λ represents the temperature sensitivity coefficient, which can be obtained by fitting using the least squares method; T1 represents the total test duration in the low-temperature state; T2 represents the total test duration at room temperature; T3 represents the total test duration in the high-temperature state; TS1 represents the usage battery life in the light usage state; TS3 represents the usage battery life in the heavy usage state.

[0080] It should be noted that the decay factor quantifies the temperature impact and reflects the attenuation degree of the device's performance with temperature change through formula calculation. If the temperature sensitivity coefficient is large, it indicates that the device is sensitive to temperature change, and the decay factor will be adjusted accordingly, making the comprehensive efficiency index more truly reflect the impact of temperature on performance and providing a reference for the device's use in different climate environments.

[0081] Step 207: The calculation methods of the dynamic weight coefficients for different operating states and the dynamic weight coefficients for different operating states are as follows:

[0082] The formulas for calculating the information entropy of different temperature states and different operating states based on the entropy weight method are as follows:

[0083]

[0084]

[0085] where E i represents the information entropy of different temperature states; E j represents the information entropy of different operating states;

[0086] The formulas for calculating the weight coefficients of different temperature states and different operating states are as follows:

[0087]

[0088] Step 3: Simulate different humidity state environments in the laboratory, and respectively test the operation data of the tablet computer display screen in different humidity environments. By analyzing the operation data, obtain the pixel response time, touch response time, and average position deviation of the display screen under different humidities, and further calculate the comprehensive index of the display screen.

[0089] Step 301: Use professional screen testing instruments, such as oscilloscopes and signal generators, connect the testing instruments to the tablet computer, send specific electrical signals to drive the screen pixels to perform color switching, and at the same time monitor the voltage changes of the screen pixels with an oscilloscope to obtain a voltage change curve. Determine the pixel response time by extracting the time intervals between adjacent change points in the voltage change curve.

[0090] Specifically, measure the pixel response time for different color switches multiple times, and take the average value as the pixel response time index of the screen. For example, through the testing instrument, the display screen is controlled to perform n measurements. Add the response time Tn obtained from each measurement, and then divide by n. The average response time obtained is used as the pixel response time.

[0091] Step 302: For the touch point detection accuracy, professional touch screen testing tools, such as touch accuracy testers, can be used to draw patterns or characters on the screen, and then analyze the position deviation between the actual position and the theoretical position of the touch point through software to evaluate the touch point detection accuracy. The measurement of the touch response time can be carried out through a test program. When touching the screen, record the time when the touch event occurs and the time of the system response, and calculate the response time difference. The response time difference also takes the average value of multiple measurements to obtain the touch response time.

[0092] Step 303: Through multiple receipt operations, obtain multiple position deviations through a touch accuracy tester, and calculate the average value to obtain the average position deviation.

[0093] Step 304: Normalize the above parameters. After eliminating the influence of dimensions, it is convenient for subsequent step calculations. Calculate the comprehensive index of the screen based on the preprocessed pixel response time, average position deviation value, and touch response time. The formula is as follows:

[0094]

[0095] Among them, Sc represents the screen evaluation index, Pm z represents the normalized values of different parameters, z represents the serial number of different parameters, taking values of 1, 2, or 3, respectively representing the pixel response time, average position deviation value, and touch response time; w zIndicates the weight coefficients corresponding to different parameters, which can take values of w1 = 0.4, w2 = 0.3, w3 = 0.3; μ1 represents the first collaborative gain coefficient, which is used to compensate for the non-linear coupling effect between parameters, such as the experience superposition of fast response + high touch accuracy, and can take values from 0 to 1.

[0096] In this step, the formula comprehensively considers multiple aspects of the screen performance through a combination of weighted sum and product. The weighted summation part emphasizes the importance of each parameter, while the product part captures the collaborative effect between parameters. For example, if both the pixel response time and the touch response time are very low (indicating good performance), their product will be smaller. After adjustment by μ1, the comprehensive evaluation index can be further improved, reflecting the positive collaborative effect between parameters; in this way, the comprehensive performance of the screen in different humidity environments can be evaluated more accurately, providing a comprehensive performance indicator for users.

[0097] It should be noted that if the pixel response time exceeds 200ms, it is taken as 0; if the touch response time difference exceeds 100ms, it is taken as 0; if the average position deviation exceeds 5mm, it is taken as 0.

[0098] The method for calculating the dynamic correction factor is as follows:

[0099]

[0100] Among them, Pen represents the dynamic correction factor.

[0101] In this step, the introduction of the dynamic correction factor Pen enables the screen comprehensive evaluation index Fin to more truly reflect the actual usage performance of the screen. By adjusting the screen evaluation index Sc according to the two key performance indicators of pixel response time and touch average deviation, it is possible to avoid the distortion of the evaluation result caused by the non-compliance of some important performance indicators. For example, if the pixel response time is too long or the touch average deviation is too large, even if other parameters perform well, the actual usage experience of the screen will be significantly affected. At this time, by setting Pen to 0.5, the Fin value can be significantly reduced, thus accurately reflecting the situation where the screen performance does not meet the standard; the pixel response time and the touch average deviation are important performance indicators that affect the user experience. By introducing the dynamic correction factor Pen, a direct connection can be established between these two key indicators and the comprehensive evaluation result, thus emphasizing their importance in the screen performance evaluation.

[0102] The formula for calculating the screen comprehensive index based on the screen evaluation index and the dynamic correction factor is as follows:

[0103] Fin = Sc × Pen;

[0104] Among them, Fin represents the screen comprehensive index.

[0105] Step 4: By mimicking the user's operation behavior, record various operation response data during the software operation, and calculate the system stability evaluation index.

[0106] Step 401: Through automated testing tools and scripts, obtain the operation data of the software under different functional modules, such as the performance efficiency indicators and error occurrence rates of the application, and collect the CPU occupancy rate and memory occupancy rate during the long-term operation of the software.

[0107] Step 402: Normalize the above parameters. After eliminating the influence of dimensions, calculate the system stability evaluation index through the preprocessed performance efficiency indicators, error occurrence rates, CPU occupancy rate, and memory occupancy rate. The formula is as follows:

[0108]

[0109] Among them, S represents the system stability evaluation index, F represents the error occurrence rate; To d represents the d-th performance efficiency indicator, d represents the serial number of different operation parameters, and the values are 1, 2, or 3, representing the application startup time, page loading time, and data transmission speed respectively; H d represents the weight coefficient of the d-th performance efficiency indicator, and the values can be H1 = 0.2, H2 = 0.4, H3 = 0.4; C represents the CPU occupancy rate; M represents the memory occupancy rate.

[0110] In this step, the formula incorporates multiple key parameters such as performance efficiency indicators, error occurrence rates, CPU occupancy rates, and memory occupancy rates into the calculation, comprehensively reflecting the system stability of the tablet computer under the simulated user operation behavior. Different from the evaluation of a single indicator, this method can capture the stable performance of the system in different aspects more comprehensively; the weight distribution of each parameter is reasonable, highlighting the importance of key performance indicators such as page loading time and data transmission speed, while considering the impact of the error occurrence rate on system stability, and the measurement of resource utilization efficiency by CPU and memory occupancy rates. This comprehensive calculation method avoids misjudgment caused by abnormal single indicators, making the evaluation results more real and reliable.

[0111] Step 5: Through comprehensive analysis of the comprehensive effectiveness index, system stability evaluation index, and screen evaluation index, obtain the health coefficient. The formula is as follows:

[0112] JK = ρ1·E eff +ρ2·Fin+ρ3·S+η2·(E eff ·Fin·S);

[0113] Among them, JK represents the health coefficient, ρ1 represents the weight coefficient of the comprehensive effectiveness index; ρ2 represents the weight coefficient of the screen evaluation index, ρ3 represents the system stability evaluation index; η2 represents the second collaborative gain coefficient, which can take values recommended from 0.1 to 0.2, and can strengthen multi-dimensional balance, avoiding any index being too low and significantly dragging down the total score.

[0114] In this step, the weights of each parameter can be adjusted according to specific requirements and test scenarios, or certain key indicators can be selectively focused on to adapt to different evaluation purposes, such as focusing on performance optimization, screen display quality, or system stability, etc.; by real-time monitoring and calculating the health coefficient, users and manufacturers can timely discover potential problems in the device. For example, too low a comprehensive effectiveness index may imply a decline in hardware performance, a low screen evaluation index may indicate a malfunction in the display screen, and a low system stability evaluation index may indicate problems in software or resource management, so as to take optimization measures in a timely manner.

[0115] Step 6: Set the set of grade threshold intervals, and compare the comprehensive effectiveness index, the system stability evaluation index, the screen evaluation index, and the health coefficient with the threshold intervals in the set of grade threshold intervals respectively to determine the evaluation grading of the index.

[0116] Step 601: Set the set of grade threshold intervals, including the effectiveness interval threshold, the system stability interval threshold, the screen evaluation interval threshold, and the health coefficient interval threshold;

[0117] It should be noted that the threshold settings of the set of grade threshold intervals can refer to industry standards;

[0118] For example, the effectiveness interval threshold can be:

[0119]

[0120] The system stability interval threshold can be:

[0121]

[0122] The screen evaluation interval threshold can be:

[0123]

[0124] The health coefficient interval threshold can be:

[0125]

[0126] Step 602: Compare the threshold intervals corresponding to the comprehensive effectiveness index, the system stability evaluation index, the screen evaluation index, and the health coefficient respectively to obtain the evaluation grading of the index and generate an evaluation report.

[0127] In this step: The comprehensive performance index, system stability evaluation index, screen evaluation index, and health coefficient are considered simultaneously, covering multiple key aspects such as the performance, stability, and screen display of the tablet computer, which can comprehensively reflect the health status of the device and make the evaluation results more comprehensive and valuable for reference. During the evaluation process, not only the performance of a single indicator is concerned, but also the mutual influence and overall performance among various indicators are comprehensively analyzed through methods such as weight allocation and collaborative gain coefficient, avoiding the situation where the excellence of a single indicator masks the deficiencies of other indicators and ensuring that the comprehensive evaluation of the device's health status is more accurate and objective. By setting a clear set of grade threshold intervals, an objective basis is provided for the evaluation and grading of each index, avoiding the arbitrariness of subjective judgment and making the evaluation process more scientific and standardized. The complex evaluation process is transformed into a simple grade assessment, enabling users to intuitively understand the health status of the device without the need for profound professional knowledge and technical background, reducing the threshold for users to understand and use the evaluation method, and increasing users' attention and management awareness of the device's health status.

[0128] Embodiment 2

[0129] A multi-functional health detection system based on a tablet computer is used to implement the above-mentioned multi-functional health detection method based on a tablet computer.

[0130] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution.

[0131] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0132] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application.

Claims

1. A multi-functional health detection method based on a tablet computer, characterized in that, Including: Step 1: Construct an environmental simulation laboratory and simulate different weather environments by controlling the environmental parameters in the laboratory; Step 2: Simulate different temperature state environments through the laboratory, and respectively test the operation data of the tablet computer in different temperature environments. By analyzing the operation data, obtain the comprehensive performance index of the tablet computer; Step 3: Simulate different humidity state environments through the laboratory, and respectively test the operation data of the tablet computer display screen in different humidity environments. By analyzing the operation data, obtain the pixel response time, touch response time and average position deviation of the display screen under different humidities, and further calculate the display screen comprehensive index; Step 4: By imitating the user operation behavior, record various operation response data during the operation of the software, and calculate the system stability evaluation index; Step 5: Through comprehensive analysis of the comprehensive performance index, system stability evaluation index and screen evaluation index, obtain the health coefficient; Step 6: Set a set of grade threshold intervals, compare the comprehensive performance index, system stability evaluation index, screen evaluation index and health coefficient with the threshold intervals in the set of grade threshold intervals respectively, and determine the evaluation grading of the index.

2. The multifunctional health detection method based on a tablet computer according to claim 1, characterized in that, In Step 2, by analyzing the operation data in different temperature environments, calculate the comprehensive performance index. The formula is as follows: Among them, T i represents the total test duration under different temperature states; Ts j represents the usage endurance under different operating states; W Ti represents the dynamic weight coefficient for different temperature states; W Tsj represents the dynamic weight coefficient for different operating states; α represents the attenuation factor, β represents the power fluctuation penalty coefficient; Pmax represents the maximum power among the average power under different temperature states and the average power under different operating states; Pavg represents the average power among the average power under different temperature states and the average power under different operating states; i represents the serial number of different temperature states; j represents the serial number of different operating states.

3. A multifunctional health detection method based on a tablet computer according to claim 2, characterized in that, The calculation method of the attenuation factor is: Where e is a constant; λ represents the temperature sensitivity coefficient; T1 represents the total test duration in the low temperature state; T2 represents the total test duration at room temperature; T3 represents the total test duration in the high temperature state; TS1 represents the usage endurance duration in the light usage state; TS3 represents the usage endurance duration in the heavy usage state.

4. The multifunctional health detection method based on a tablet computer according to claim 3, wherein, The formula for calculating the weight coefficients of different temperature states and different operation states is as follows: Among them, E i represents the information entropy of different temperature states; E j represents the information entropy of different operating states.

5. A multifunctional health detection method based on a tablet computer according to claim 4, characterized in that, The formula for calculating the information entropy of different temperature states and different operation states based on the entropy weight method is as follows:

6. A multi-functional health detection method based on a tablet computer according to claim 1, characterized in that, The method for calculating the screen comprehensive index is as follows: Calculate the screen evaluation index through the preprocessed pixel response time, average position deviation value and touch response time. The formula is as follows: Among them, Sc represents the screen evaluation index, and Pm z represents the normalized value of different parameters, and z represents the serial number of different parameters; w z represents the weight coefficient corresponding to different parameters; μ1 represents the first collaborative gain coefficient; The method for calculating the dynamic correction factor is as follows: Where Pen represents the dynamic correction factor; Calculate the screen comprehensive index according to the screen evaluation index and the dynamic correction factor. The formula is as follows: Fin = Sc × Pen; Where Fin represents the screen comprehensive index.

7. A multifunctional health detection method based on a tablet computer according to claim 6, characterized in that, In Step 4, through the test tools and scripts, the operation data of the software under different functional modules can be obtained, and the system stability evaluation index can be calculated based on this data. The formula is as follows: Among them, S represents the system stability evaluation index, F represents the error incidence rate; To d represents the d-th performance efficiency index, and d represents the serial number of different operating parameters; H d represents the weight coefficient of the d-th performance efficiency index; C represents the CPU occupancy rate; M represents the memory occupancy rate.

8. A multifunctional health detection method based on a tablet computer according to claim 6, characterized in that, In Step 5, through comprehensive analysis of the comprehensive performance index, system stability evaluation index and screen evaluation index, calculate the health coefficient. The formula is as follows: JK = ρ1·E eff + ρ2·Fin + ρ3·S + η2·(E eff ·Fin·S); Where JK represents the health coefficient, ρ1 represents the weight coefficient of the comprehensive performance index; ρ2 represents the weight coefficient of the screen evaluation index, ρ3 represents the system stability evaluation index; η2 represents the second collaborative gain coefficient.

9. A multifunctional health detection method based on a tablet computer according to claim 8, characterized in that, The set of grade threshold intervals includes the performance interval threshold, system stability interval threshold, screen evaluation interval threshold and health coefficient interval threshold; among them: The efficiency interval threshold is: The system stability interval threshold is: The screen evaluation interval threshold is: The health coefficient interval threshold is: Compare the threshold intervals corresponding to the comprehensive efficiency index, system stability evaluation index, screen evaluation index, and health coefficient respectively to obtain the evaluation rating of the index and generate an evaluation report.

10. A multi-functional health detection system based on a tablet computer, characterized in that, A multi-functional health detection method based on a tablet computer for implementing any one of claims 1-9.

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