Wireless router stability aging test method and device

Abstract

The embodiment of the invention provides a wireless router stability aging test method and device, and the method comprises the steps: presetting aging test parameters, and controlling a to-be-tested wireless router to enter an aging test mode based on the preset aging test parameters; within the preset aging duration, state monitoring data of the wireless router to be tested are collected in real time, and after the preset aging duration is reached, the wireless router to be tested is controlled to stop signal transmission and data packet transmission and tries to be connected with the preset verification network; generating a final judgment result of the to-be-tested wireless router based on a network connection result and the state monitoring data; and general verification is combined with state data collected in real time for comprehensive judgment, so that errors caused by manual judgment are avoided, and objectivity and consistency of test result judgment are realized.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of communication technology, and in particular to a method for aging test stability of wireless routers. Background Technology

[0002] Wireless routers require aging tests during the manufacturing phase to screen for potential hardware defects. However, traditional testing methods generally suffer from limitations such as low automation and low efficiency. Specifically, test initiation relies on manual configuration of parameters for each device, making it difficult to adapt to mass production schedules; the load intensity during aging is insufficient to fully expose hidden defects in heat dissipation, power supply, and soldering within a limited time; the judgment of test results requires manual intervention, posing a risk of subjective misjudgment, and process data is not systematically recorded; furthermore, the lack of test records uniquely linked to each device makes subsequent quality traceability and problem localization difficult. Existing technologies struggle to meet the urgent needs of factories for efficient, automated, and traceable aging tests while ensuring testing rigor.

[0003] Therefore, a better solution is urgently needed. Summary of the Invention

[0004] In view of this, embodiments of this specification provide a method for aging-up testing the stability of wireless routers. One or more embodiments of this specification also relate to a wireless router stability aging-up testing apparatus, a computing device, a computer-readable storage medium, and a computer program, to address the technical deficiencies existing in the prior art.

[0005] According to a first aspect of the embodiments of this specification, a method for aging test of wireless router stability is provided, comprising: Preset aging test parameters, including wireless signal frequency band list, full power transmission threshold, preset aging duration, maximum packet transmission strategy parameters, and preset verification network parameters; Upon receiving the start command, the wireless router under test is controlled to enter the aging test mode based on the preset aging test parameters. In aging test mode, the wireless router under test is controlled to continuously transmit signals at full power threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy to make it work in peak power consumption state, and the aging time is continuously preset. Within the preset aging time, the status monitoring data of the wireless router under test is collected in real time. The status monitoring data includes wireless signal data, power consumption data and temperature data. After the preset aging time is reached, the wireless router under test is controlled to stop signal transmission and data packet sending, and attempts to connect to the preset verification network. Based on network connection results and status monitoring data, a final judgment result is generated for the wireless router under test. The final judgment result and associated status monitoring data are bound and stored with the device identification information of the wireless router under test to form a queryable test file.

[0006] In one possible implementation, the steps for generating the final judgment result based on network connectivity results and status monitoring data specifically include: Determine whether the wireless router under test has successfully connected to the preset verification network; If the connection is successful, the status monitoring data will be further analyzed to determine whether any item exceeds the corresponding preset security threshold. If none of the status monitoring data exceeds the preset safety threshold, a qualified judgment result is generated; If any item in the status monitoring data exceeds the preset safety threshold, a suspicious judgment result with process data notes will be generated. If the connection fails, an unqualified result will be generated.

[0007] In one possible implementation, the startup command is received by receiving remote software commands from a test management platform, physical trigger signals from a dedicated test fixture, and dedicated button signals from the wireless router under test.

[0008] In one possible implementation, the steps for real-time acquisition of status monitoring data include: Wireless signal data, including signal strength and frequency stability indicators, is collected non-intrusively by deploying wireless detection units in the test environment. Power consumption and temperature data are collected through the power management unit or status reporting interface connected to the wireless router under test.

[0009] In one possible implementation, after the test profile is created, the following steps are also included: The status monitoring data of the wireless routers under test that are ultimately deemed unqualified or suspicious are compared with the pre-stored defect pattern library. Based on the comparison results, output possible cause prompts.

[0010] In one possible implementation, the steps for analyzing status monitoring data include: Based on the wireless signal strength sequence and frequency stability data collected within a preset aging period, a comprehensive signal quality assessment value is generated through fusion calculation. The calculation of the signal quality assessment value integrates statistical characteristics reflecting the stability of signal transmission power, attenuation characteristics reflecting the ratio of actual transmission power to theoretical maximum power, and time proportion characteristics reflecting carrier frequency stability. The signal quality assessment value is used to quantitatively characterize the overall stability of wireless signal transmission of the wireless router under test during the aging process.

[0011] In one possible implementation, the steps for analyzing status monitoring data include: Based on the temperature data sequence, operating voltage data sequence and power consumption data collected within the preset aging time, a comprehensive stress assessment value is generated through fusion calculation. The stress assessment value calculation integrates features reflecting the intensity of temperature fluctuations, the intensity of voltage fluctuations, and the actual power consumption load level; the stress assessment value is used to quantitatively characterize the level of combined electro-thermal stress that the wireless router under test experiences during the aging process.

[0012] According to a second aspect of the embodiments of this specification, a wireless router stability aging test apparatus is provided, comprising: The parameter determination module is configured with preset aging test parameters, including a list of wireless signal frequency bands, a full-power transmission threshold, a preset aging duration, a maximum packet transmission strategy parameter, and preset verification network parameters. The test startup module is configured to receive a startup command and control the wireless router under test to enter the aging test mode based on preset aging test parameters. The aging test module is configured to control the wireless router under test to continuously transmit signals at full power threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy in aging test mode, so that it works in peak power consumption state and continuously preset aging time. The data acquisition module is configured to collect status monitoring data of the wireless router under test in real time within a preset aging time. The status monitoring data includes wireless signal data, power consumption data and temperature data. The network connectivity module is configured to control the wireless router under test to stop signal transmission and data packet sending after a preset aging time has been reached, and to attempt to connect to a preset verification network. The result determination module is configured to generate the final determination result of the wireless router under test based on the network connection result and status monitoring data. The data archiving module is configured to bind and store the final judgment result and associated status monitoring data with the device identification information of the wireless router under test, forming a queryable test archive.

[0013] According to a third aspect of the embodiments of this specification, a computing device is provided, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the above-described wireless router stability aging test method.

[0014] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided that stores computer-executable instructions, which, when executed by a processor, implement the steps of the above-described wireless router stability aging test method.

[0015] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, it causes the computer to perform the steps of the above-described wireless router stability aging test method.

[0016] This specification provides a method and apparatus for aging test of wireless router stability. The method includes: setting aging test parameters; controlling the wireless router under test to enter the aging test mode based on the preset aging test parameters; collecting real-time status monitoring data of the wireless router under test within a preset aging time; after the preset aging time is reached, controlling the wireless router under test to stop signal transmission and data packet sending, and attempting to connect to a preset verification network; generating a final judgment result for the wireless router under test based on the network connection result and status monitoring data; and performing a comprehensive judgment based on commonality verification and real-time collected status data, avoiding errors in manual judgment and achieving objectivity and consistency in the judgment of test results. Attached Figure Description

[0017] Figure 1 This is a flowchart of a wireless router stability aging test method provided in one embodiment of this specification; Figure 2 This is a schematic diagram of the structure of a wireless router stability aging test device provided in one embodiment of this specification; Figure 3 This is a structural block diagram of a computing device provided in one embodiment of this specification. Detailed Implementation

[0018] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0019] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0021] This specification provides a method for testing the stability aging of a wireless router. It also relates to a device for testing the stability aging of a wireless router, a computing device, and a computer-readable storage medium, which will be described in detail in the following embodiments.

[0022] See Figure 1 , Figure 1 A flowchart of a wireless router stability aging test method according to an embodiment of this specification is shown, which specifically includes the following steps.

[0023] Step 101: Preset aging test parameters, including wireless signal frequency band list, full power transmission threshold, preset aging duration, maximum packet transmission strategy parameters, and preset verification network parameters.

[0024] The preset aging test parameters refer to a set of key test variables pre-configured and stored in the test system, used to define the specific execution rules of the aging test. The wireless signal frequency band list refers to an enumeration of one or more wireless communication frequency bands supported by the wireless router under test (WBT) hardware, used to specify the specific frequency bands that need to operate at full power during the test. The full-power transmission threshold refers to the maximum allowed signal power value set for each frequency band in the wireless signal frequency band list, ensuring that the router's RF front-end operates at its rated maximum load during the test. The preset aging duration refers to the total time the WBT needs to maintain the peak power consumption state, used to control the duration of the high-load stress test. The maximized packet transmission strategy parameters refer to a set of rules controlling the WBT to generate and send test data packets at the network layer, including packet transmission rate, data packet size, and protocol type, used to drive the router's data processing unit to reach maximum load. The preset verification network parameters refer to a set of connection information for a known and stable wireless local area network, including network name (SSID), encryption method, and password, used to verify the device's network access function after the aging phase.

[0025] As a specific example: a stability aging test was conducted on a batch of 100 RT-X1 wireless routers. First, the aging test parameters were preset in the test system: the wireless signal frequency band list included 2.4GHz and 5GHz; the full-power transmission threshold for the 2.4GHz band was 20dBm, and for the 5GHz band it was 22dBm; the preset aging time was 4 hours; the maximum packet transmission strategy parameter was set to continuously send large UDP packets to the internal test server at a rate of 1000Mbps; the preset verification network parameter was SSID "Aging_Test_NET", encrypted using WPA2-PSK, and the password was "Test@2024".

[0026] Step 102: Receive the start command and control the wireless router under test to enter the aging test mode based on the preset aging test parameters.

[0027] The start command can refer to a command signal used to trigger the start of the entire aging test process, thereby initiating the aging test mode. The wireless router under test (DUT) can refer to a wireless router device in the production testing phase that needs to undergo stability aging tests; it is the object that performs the tests and bears the load. The aging test mode can refer to a special operating state that the DUT enters according to the preset aging test parameters, used to execute a standardized high-load aging process.

[0028] In one possible implementation, the startup command is received by receiving remote software commands from a test management platform, physical trigger signals from a dedicated test fixture, and dedicated button signals from the wireless router under test.

[0029] The test management platform can refer to a software system deployed on a central server or industrial control computer, used for centralized management of test processes, parameter configuration, and result monitoring, providing a unified control interface and data dashboard. Remote software commands can refer to digital control commands sent from the test management platform to the wireless router under test via wired or wireless networks, used to trigger the device to begin executing a preset test process. Dedicated test fixtures can refer to a physical fixture or device designed for production line testing scenarios, integrating trigger buttons and communication interfaces to provide standardized hardware trigger points. Physical trigger signals can refer to an electrical signal generated by pressing a physical button on the dedicated test fixture or closing a specific circuit, used to directly initiate aging tests on the connected router. Dedicated button signals can refer to an internal electrical signal generated by pressing a single-function physical button independently located on the wireless router under test, allowing users to manually start tests without relying on external systems.

[0030] As a specific example: On the aging test station of a router production line, three triggering scenarios exist simultaneously. The first is routine batch testing. The tester selects 100 newly assembled routers on the test management platform software interface and clicks the "Start Aging" button. A remote software command is then sent to these 100 devices via the network switch, and they simultaneously enter aging mode. The second is retesting individual devices suspected of having faults in the early stages. An engineer places a router into a dedicated four-slot test fixture and connects it to power. The green "Start" button on the fixture lights up. The engineer presses the button, and the resulting physical trigger signal is transmitted directly to the router through the fixture's probe interface, allowing it to independently begin aging testing. The third is for quality spot checks. Inspectors randomly select a router from the packaging line, connect it to power, and directly press a recessed button on the bottom of the device labeled "Aging Test" with their fingernail. The microcontroller inside the device detects this button signal and immediately starts the aging test program. All devices started using any of the above methods follow the same full-load aging, status monitoring, and result determination processes.

[0031] The multi-mode triggering mechanism provided in this application greatly enhances the flexibility and adaptability of aging test initiation. By supporting batch triggering via remote software commands, it perfectly adapts to the continuous production rhythm of the assembly line, achieving centralized and efficient test initiation. By providing a physical triggering method using dedicated test fixtures, it offers a reliable and convenient triggering means for scenarios requiring offline and precise control, such as engineering debugging and fault reproduction. By integrating dedicated buttons into the device body to support manual triggering, it provides self-testing capabilities independent of any external equipment for scenarios such as off-line sampling inspection, warehouse inspection, or rapid after-sales verification. These three methods complement each other, forming a complete triggering solution covering the testing needs of the entire product lifecycle, improving the availability and reliability of the testing system, and effectively reducing the coordination and equipment dependence costs of different testing stages.

[0032] Step 103: In aging test mode, control the wireless router under test to continuously transmit signals at full power threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy to make it work in peak power consumption state, and continuously preset the aging time.

[0033] The peak power consumption state refers to the overall power consumption level of the wireless router under test when its wireless radio frequency and data processing units reach maximum workload in the aging test mode, which is used to simulate the worst operating conditions of the device during long-term operation.

[0034] As a specific example: a critical aging phase test was performed on a batch of NW-2000 wireless routers. Once the devices entered aging test mode, the system controlled them to operate simultaneously on three supported wireless signal frequency bands (2.4GHz, 5.2GHz, 5.8GHz). Each band continuously transmitted modulated signals according to pre-programmed full-power transmission thresholds (19dBm, 21dBm, 20dBm respectively). Simultaneously, the router's internal processor executed a maximized packet transmission strategy, continuously sending 1500-byte UDP test packets to four preset LAN IP addresses at an aggregate rate of up to 900Mbps. The combined effect of the full-power transmission of the wireless RF front-end and the maximized packet transmission of the data processing unit drove the entire device to quickly enter and stabilize at peak power consumption (approximately 22 watts in actual measurements). This high-intensity electrical and thermal load was strictly maintained for the entire preset aging time (6 hours in this example), during which no frequency reduction or sleep behavior was allowed.

[0035] Beneficial Effects: This method precisely controls the router to transmit full-power signals simultaneously across multiple frequency bands, combined with continuous maximum data throughput at the network layer. This ensures that the device withstands a stable and continuous composite load exceeding its design limits during testing, thereby maximizing electrothermal stress within a defined timeframe. This highly controllable and extremely rigorous testing condition effectively induces deep-seated hardware defects that are difficult to detect in conventional testing or short-term use. These defects include issues such as chip packaging delamination, inductor saturation, or capacitor performance degradation, which may only occur under prolonged high-temperature environments. This significantly enhances the depth and effectiveness of aging tests, providing a reliable basis for selecting products with genuine long-term stable operation potential.

[0036] Step 104: Within the preset aging time, collect the status monitoring data of the wireless router under test in real time. The status monitoring data includes wireless signal data, power consumption data and temperature data.

[0037] The status monitoring data refers to multi-dimensional physical quantity data continuously collected from the wireless router under test and its surrounding environment by various sensors and detection devices within the preset aging period, used to reflect the real-time operating status and health of the device. Wireless signal data refers to indicators measured from the wireless signals emitted by the wireless router under test, such as signal strength and frequency stability, used to evaluate the operational stability of the RF module under high voltage. Power consumption data refers to the real-time voltage, current, and calculated power values ​​of the wireless router under test measured during the test, used to monitor the power supply performance of the power system and the overall energy consumption level. Temperature data refers to the real-time temperature values ​​measured from key internal chips or surfaces of the wireless router under test, used to evaluate the effectiveness of the heat dissipation system and the thermal load status of the device.

[0038] In one possible implementation, the steps for real-time acquisition of status monitoring data include: non-intrusive acquisition of wireless signal data, including signal strength and frequency stability indicators, via a wireless detection unit deployed in the test environment; and acquisition of power consumption data and temperature data via a power management unit or status reporting interface connected to the wireless router under test.

[0039] As a specific example: data acquisition during aging tests of 50 routers in a shielded test chamber lined with absorbing material. Eight wireless detection units, combinations of high-sensitivity spectrum analyzers and dedicated antenna arrays, were evenly deployed on a circular test rack in the center of the chamber. These units non-invasively and continuously scanned and captured the wireless signals emitted by each router under test in various designated frequency bands. Each detection unit sampled 10 times per second, accurately recording the signal strength (in dBm) and the center frequency offset (in kHz) of each device, thus constructing the wireless signal data. Simultaneously, each router connected to a high-precision programmable power management unit (PPU) via its Type-C power interface. This PPU not only provided power but also monitored and recorded the input voltage (accurate to millivolts) and current (accurate to milliamperes) to the router in real time at a rate of 100 times per second, calculating real-time power consumption data accordingly. Temperature sensors on the router's motherboard, through a built-in status reporting interface, transmitted temperature data from three key locations—the CPU, 5G RF chip, and power management chip—to the central data acquisition unit via a serial bus every second. All heterogeneous data from the wireless detection unit, power management unit, and status reporting interface are synchronized to the test management platform in real time, and timestamp alignment and formatting are performed to form a complete status monitoring data stream with time sequence.

[0040] This application achieves comprehensive, high-precision, real-time synchronous monitoring of critical equipment status during aging tests by combining non-invasive wireless detection with wired direct-connection power supply temperature acquisition. Non-invasive wireless detection avoids any interference with the circuitry of the device under test, ensuring that the signal data reflects the true transmission status, while also covering a batch of devices simultaneously, resulting in high acquisition efficiency. Direct measurement through the power management unit obtains the most accurate electrical parameter information, providing the original basis for evaluating the stability of the power system. Reading the internal temperature through the device's own interface directly reflects the chip-level thermal state, providing the most accurate and reliable data. This multi-source, highly parallel data acquisition strategy constitutes an objective, comprehensive, and detailed status monitoring system, providing a solid and multi-dimensional data foundation for subsequent accurate qualification judgments and in-depth fault analysis, effectively avoiding the risk of misjudgment due to single monitoring methods or inaccurate data.

[0041] Step 105: After the preset aging time is reached, control the wireless router under test to stop signal transmission and data packet sending, and attempt to connect to the preset verification network.

[0042] As a specific implementation: When the test system timer confirms that a router's continuous high-load operation time has reached the preset 4-hour aging period, the system immediately sends a control command to the router. Upon receiving the command, the router's RF front-end first stops transmitting signals across all frequency bands within milliseconds, and the network processor simultaneously terminates the maximum packet transmission strategy, allowing the device to smoothly exit from peak power consumption. Next, the router's network connection verification module is activated, its wireless network card switches to client mode, and begins actively scanning for surrounding wireless networks on a preset channel list. It precisely searches for the preset verification network with the SSID "Quality_Verify_Net5G," and upon detecting this network, automatically initiates a connection request using a pre-stored WPA3 encryption key, completing the full four-way handshake and association process until it successfully obtains an IP address, thus completing the connection attempt.

[0043] This application, through precise timing control, automatically and synchronously cuts off high-load sources after reaching the predetermined aging time point, ensuring the accuracy and consistency of aging stress application and preventing over-testing or under-testing. Subsequently, the equipment seamlessly switches to the network verification stage. This process is fully automated, requiring no manual intervention for mode switching or parameter configuration, significantly improving the continuity and efficiency of the testing process. The automatic connection to the preset verification network is essentially a direct and effective verification of whether the equipment's core network access function remains intact after rigorous aging. It transforms complex stability issues into automatically assessable network connectivity events, making result determination fast, objective, and reliable, providing key technical support for rapid quality screening before production line shutdown.

[0044] Step 106: Based on the network connection results and status monitoring data, generate the final judgment result for the wireless router under test.

[0045] The network connection result refers to the conclusion of whether the wireless router under test successfully accesses the preset verification network after the aging process, serving as a preliminary criterion for ensuring the basic functionality of the device. The final judgment result refers to the authoritative conclusion made on whether the wireless router under test has passed the aging test after comprehensively analyzing the network connection result and the status monitoring data, and is used to guide product sorting.

[0046] In one possible implementation, the steps for generating the final judgment result based on the network connection result and status monitoring data specifically include: determining whether the wireless router under test has successfully accessed the preset verification network; if the access is successful, further analyzing the status monitoring data to determine whether any item exceeds the corresponding preset security threshold; if none of the status monitoring data exceeds the preset security threshold, generating a qualified judgment result; if any item in the status monitoring data exceeds the preset security threshold, generating a suspicious judgment result with process data notes; if the access fails, generating an unqualified judgment result.

[0047] Among them, the preset safety threshold can refer to one or more numerical boundaries pre-set for various status monitoring data to determine whether the equipment status is abnormal, providing a clear comparison benchmark for automated judgment. Process data notes can refer to a text or data identifier automatically added by the system when generating suspicious or unqualified judgment results, used to explain the specific situation of the abnormality, to accurately locate the problem and guide subsequent analysis.

[0048] As a concrete example: After the aging test, the judgment system begins to function. First, it checks whether the router has successfully connected to the preset verification network. Assuming one router successfully connects, the system immediately retrieves and analyzes all its status monitoring data from the past four hours. The system's preset safety thresholds are: CPU temperature must not exceed 85°C, power supply voltage must not be lower than 10.8V, and the variance of signal strength fluctuation in the 2.4GHz band must not exceed 5 dBm². After comparison, it is found that the router's CPU temperature reached 88°C in the third hour of the aging test, exceeding the preset safety threshold of 85°C. Although the network connection is successful, based on this record of exceeding the limits, the system will not simply judge it as qualified. It will automatically generate a "suspicious" final judgment result and attach a process data note to this result, which may read: "CPU temperature over-limit alarm: At 3 hours and 1 minute of the test, a peak temperature of 88°C (threshold 85°C) was detected." For another router that cannot connect to the verification network at all, the system directly generates a "unqualified" judgment result.

[0049] This method combines simple connectivity testing with in-depth process data diagnostics to establish a hierarchical and intelligent judgment mechanism. It can not only identify completely failed equipment but also accurately detect products that, while retaining basic functionality, exhibit performance degradation or critical failure signs under high pressure. By associating the judgment results with specific out-of-specification process data, preliminary defect identification is achieved, greatly facilitating subsequent problem reproduction and root cause analysis by quality engineers. This avoids the risk of potential "defective" products mixed in with qualified products, thereby significantly improving the consistency and reliability of product quality. This judgment method transcends the traditional binary "pass / fail" judgment, providing richer quality insights.

[0050] In one possible implementation, the steps for analyzing status monitoring data include: Based on the wireless signal strength sequence and frequency stability data collected within a preset aging period, a comprehensive signal quality assessment value is generated through fusion calculation. The calculation of the signal quality assessment value integrates statistical characteristics reflecting the stability of signal transmission power, attenuation characteristics reflecting the ratio of actual transmission power to theoretical maximum power, and time proportion characteristics reflecting carrier frequency stability. The signal quality assessment value is used to quantitatively characterize the overall stability of wireless signal transmission of the wireless router under test during the aging process.

[0051] Specifically, the Signal Quality Assessment (SSI) aims to create a comprehensive index that reflects the stability of radio frequency signals under sustained high loads. Its derivation follows these logical steps: First, identify the core influencing parameters. Signal stability is primarily affected by three independent factors: the degree of fluctuation in transmit power itself (smaller fluctuations indicate greater stability); the average attenuation level of transmit power (closer to the maximum design capacity, the better the performance); and the stability of the carrier frequency (smaller frequency drift is better).

[0052] The quantization methods for each parameter are defined as follows.

[0053] For transmit power fluctuations, the reciprocal of the standard deviation of the signal strength sequence is used to characterize them. The standard deviation measures the degree of dispersion, and its reciprocal satisfies the positive correlation logic of stability: "the smaller the fluctuation, the larger the value."

[0054] Power attenuation is characterized by the ratio of average signal strength to theoretical maximum signal strength; the closer this value is to 1, the smaller the attenuation.

[0055] Frequency stability is characterized by the proportion of sampling points that meet the stability requirements (deviation below a preset threshold) to the total number of sampling points; the higher the proportion, the better.

[0056] Furthermore, a comprehensive model is constructed. Since the three factors are independent yet work together to affect the final stability, a multiplicative model is used for fusion, ensuring that poor performance of any one factor leads to a decrease in the overall evaluation value. This model combines the evaluations of the three dimensions into a single, comparable scalar value, efficiently achieving a comprehensive quantification of signal stability.

[0057] In practical applications, when analyzing status monitoring data, the signal stability index is calculated. The formula for quantifying the wireless signal transmission stability of the wireless router under test during the aging process is as follows:

[0058] in, This is a signal stability index; a higher value indicates a more stable signal transmission. The signal strength data collected at the t-th sampling time point comes from the real-time acquisition by the wireless detection unit; To calculate the average signal strength of all N sampling points within a preset aging time, by analyzing all... Summing and dividing by N yields the result; The theoretical maximum signal strength value corresponding to the preset full-power transmission threshold is derived from the configuration management module; The number of time points within a preset aging period where the frequency deviation is lower than a preset deviation threshold is derived from the analysis of frequency stability indicators. N represents the total number of sampling points.

[0059] As a specific example: During a 2-hour aging test on a wireless router, the wireless detection unit samples once per second, and the total number of sampling points N = =7200. The configuration management module shows that the full-power transmission threshold for this router in the test frequency band corresponds to... The value is 20 dBm. The preset deviation threshold for frequency stability analysis is ±5 kHz. After the test, the system acquired signal strength data sequences at 7200 time points. The average value was calculated. =18.5dBm. Then, calculate each... and The squared deviations, summed, divided by 7200, and then the square root is taken to obtain a standard deviation of approximately 0.8 dBm. The reciprocal of this standard deviation is the first term of the formula (approximately 1.25). Next, the calculation... =18.5 / 20=0.925. Simultaneously, the system analyzes frequency data and counts the number of time points where the frequency deviation consistently remains within ±5kHz. = 7,180. Finally, substitute into the formula for calculation: SSI = 1.25 × 0.925 × (7,180 / 7,200) ≈ 1.25 × 0.925 × 0.997 ≈ 1.15. If the qualified line of the SSI preset by the system is 1.0, then this index of the device is judged as qualified.

[0060] In this application, by introducing the comprehensive quantitative index of signal stability index, the evaluation of wireless signal quality is upgraded from traditional subjective observation or single parameter judgment to objective and multi-parameter fusion precise measurement. This index simultaneously considers the fluctuation of signal transmission power, the degree of power attenuation, and the stability of carrier frequency, and can comprehensively characterize the comprehensive performance retention ability of the router radio frequency system under long-term high-pressure operation. Transforming the complex signal quality evaluation into a comparable numerical value not only makes the judgment criteria more unified and clear, greatly reducing the uncertainty of manual analysis, but also this index itself can be stored as key process data in the test file, providing the core data basis for subsequent in-depth quality analysis, performance trend prediction, and reliability comparison of products in the same batch or across batches, thus realizing a deeper level of quality control from "whether it can be used" to "how well and stably it can be used".

[0061] In a possible implementation manner, the steps of analyzing the status monitoring data include: Based on the temperature data sequence, working voltage data sequence, and power consumption data collected within the preset aging duration, generate a comprehensive stress evaluation value through fusion calculation; Among them, the calculation of the stress evaluation value integrates the characteristics reflecting the intensity of temperature fluctuation, the characteristics reflecting the intensity of voltage fluctuation, and the characteristics reflecting the actual power consumption load level; the stress evaluation value is used to quantitatively characterize the composite electro-thermal stress level endured by the to-be-tested wireless router during the aging process.

[0062] Specifically, the stress evaluation value (i.e., the comprehensive aging stress coefficient CAS) aims to create a single index that can comprehensively characterize the thermal stress, electrical stress, and load intensity endured by the device during the test. Its derivation follows the following logical steps: Identify the stress sources and load factors. The stress endured by the device mainly comes from two fluctuating physical quantities: the fluctuation of the chip temperature relative to the ambient temperature (thermal stress); the fluctuation of the supply voltage relative to the rated voltage (electrical stress). At the same time, the load level endured by the device (the ratio of average power consumption to rated power consumption) determines the "background intensity" of the stress application.

[0063] Furthermore, define the quantification methods for each factor.

[0064] For thermal stress, the variance of the temperature sequence is used to quantify the severity of temperature fluctuation.

[0065] For electrical stress, the variance of the voltage sequence is used to quantify the severity of voltage fluctuations.

[0066] For load levels, the ratio of average power consumption to rated power consumption is used for quantification.

[0067] Furthermore, a comprehensive model is constructed. Thermal stress and electrical stress have a synergistic effect in causing material fatigue and contact failure; therefore, the product of their variances is used to characterize the intensity of their synergistic effect. Since variance is a squared quantity, its square root is taken to obtain a basic synergistic stress factor with dimensions consistent with the original physical quantities (temperature, voltage). Finally, this basic factor is multiplied by the load scaling factor to obtain the final stress assessment value. This model integrates stress and load information from different dimensions into a single scalar, effectively characterizing the comprehensive severity experienced by the equipment during aging.

[0068] In practical applications, when analyzing condition monitoring data, the comprehensive aging stress coefficient is calculated. This is used to comprehensively evaluate the level of electro-thermal stress experienced by the wireless router under test during the aging process. The calculation formula is as follows:

[0069] in, The overall aging stress coefficient is determined by the value; a higher value indicates greater stress. The temperature data collected at the t-th sampling time point comes from the real-time acquisition of the temperature sensor; The ambient temperature constant of the test environment; The operating voltage data collected at the t-th sampling time point comes from the real-time acquisition of the power management unit; This is the rated operating voltage of the wireless router under test. The average power consumption within the preset aging time is obtained by summing the power consumption data of all sampling points and dividing by N; This represents the rated power consumption of the wireless router under test. $ and The specifications are derived from the wireless router under test.

[0070] As a specific example: using a unit with a rated operating voltage 12V, rated power consumption Taking an 18W wireless router as an example, a peak aging test was conducted on it for 1 hour (3600 seconds), with a sampling interval of 1 second, resulting in a total of N=3600 sampling points. The ambient temperature was kept constant during the test. =25°C. After the test, the system acquired 3600 temperature samples. and 3600 voltage sample values The variance of the temperature data series (i.e., in the formula) was calculated. (Partial) 15.2 (°C) 2 ; Variance of voltage data sequence (i.e. (Partial) is 0.04 (V) 2 Multiplying the two results in 0.608, and taking the square root gives a basic stress factor of approximately 0.78. Simultaneously, the system calculates the average power consumption throughout the aging process. It is 16.5W, with a load scaling factor. Therefore, 16.5 / 18 ≈ 0.917. Ultimately, the comprehensive aging stress coefficient CAS = 0.78 × 0.917 ≈ 0.715. If the internal standard for this product model specifies that a CAS exceeding 0.8 indicates possible abnormal stress, then this assessment result for this equipment is normal.

[0071] This application constructs an innovative index called the Comprehensive Aging Stress Coefficient, which organically combines the discrete, multi-dimensional physical stresses (temperature and voltage fluctuations) experienced by the equipment during the aging process with its power consumption load level, forming a single quantitative value that can comprehensively reflect the intensity of the electro-thermal composite stress experienced by the equipment. This coefficient overcomes the misjudgment that may be caused by examining temperature or voltage curves in isolation, and more scientifically characterizes the comprehensive environmental severity that leads to potential product damage. It not only serves to determine the pass / fail status of this test, but more importantly, this coefficient is permanently recorded as a key quantitative historical data, providing an objective, unified, and analyzable data foundation for subsequent comparisons of the consistency of aging intensity of different batches of products, analysis of the correlation between specific failure modes and stress levels, and even optimization of product design to improve stress resistance. This realizes the transformation from qualitative experience-based judgment to quantitative and precise assessment.

[0072] Step 107: Bind and store the final judgment result and associated status monitoring data with the device identification information of the wireless router under test to form a queryable test file.

[0073] The device identification information refers to a unique code that identifies a wireless router under test, typically a MAC address, used to index and distinguish test records of different devices in the database. The test file refers to a structured data record formed by associating the final judgment result, the corresponding status monitoring data, and the device identification information, used to achieve full traceability and analysis of product quality.

[0074] In one possible implementation, after the test profile is formed, the steps include: comparing the status monitoring data of the wireless router under test that is ultimately judged as unqualified or suspicious with a pre-stored defect pattern library; and outputting possible cause prompts based on the comparison results.

[0075] The defect pattern library refers to a pre-collected and summarized dataset containing various known router defect characteristics, used to quickly match and identify potential fault types when test anomalies are detected. The cause indication information refers to a descriptive text automatically generated by the system based on the comparison results between status monitoring data and the defect pattern library, used to assist engineers in quickly locating the root cause of the problem and guiding subsequent maintenance or process improvements.

[0076] As a concrete example: After completing batch aging tests on 500 routers, the system generated 500 test files. Of these, 3 devices were ultimately deemed "unqualified," and 5 were deemed "suspicious." The system automatically retrieved complete status monitoring data for these 8 devices, including their power consumption curves, temperature curves, signal stability index, and comprehensive aging stress coefficient. Subsequently, the system compared these data characteristics with a pre-stored defect pattern library. This defect pattern library contains feature templates for various known defects; for example, the characteristic corresponding to "power module filter capacitor failure" is "periodic low-frequency ripples in the voltage waveform, accompanied by a slight decrease in average power consumption"; the characteristic corresponding to "uneven application of CPU thermal paste" is "the CPU temperature curve shows a rapid rise followed by stabilization at a high level, while other chip temperatures are normal." After comparison, the system matched a "suspicious" device with a high probability of the "poor heat dissipation structure assembly" pattern and automatically output the following error message: "Alarm: Device number RT-5047, temperature data characteristics match the 'poor heat dissipation structure assembly' pattern by 87%. It is recommended to check the bonding condition between the heatsink and the chip." For a "non-compliant" device, the system prompted: "Alarm: Device number RT-5012, voltage data characteristics match the 'power module regulator abnormal' pattern by 92%. It is recommended to focus on checking the DC-DC regulator circuit." This application achieves a closed loop from problem discovery to initial root cause localization by introducing an intelligent diagnostic step based on a defect pattern library into the testing process. The system automatically analyzes detailed process data of non-conforming or questionable products and compares it with a historical experience knowledge base, thereby outputting highly targeted repair or inspection suggestions. This significantly reduces the time quality inspectors or engineers spend on root cause analysis, decreases reliance on senior expert experience, and improves the efficiency and accuracy of problem handling. Simultaneously, the results of each diagnosis and subsequent verification are fed back, continuously enriching and optimizing the defect pattern library, enabling the entire testing system to continuously learn and evolve, providing powerful data-driven support for production process improvement and steady product quality enhancement.

[0077] Corresponding to the above method embodiments, this specification also provides embodiments of a wireless router stability aging test device. Figure 2 A schematic diagram of a wireless router stability aging test apparatus according to one embodiment of this specification is shown. Figure 2 As shown, the device includes: The parameter determination module 201 is configured with preset aging test parameters, including a list of wireless signal frequency bands, a full-power transmission threshold, a preset aging duration, a maximum packet transmission strategy parameter, and preset verification network parameters. The test startup module 202 is configured to receive a startup command and control the wireless router under test to enter the aging test mode based on preset aging test parameters. The aging test module 203 is configured to control the wireless router under test to continuously transmit signals at full power transmission threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy in the aging test mode, so that it works in the peak power consumption state and continuously preset the aging time. The data acquisition module 204 is configured to collect the status monitoring data of the wireless router under test in real time within a preset aging time. The status monitoring data includes wireless signal data, power consumption data and temperature data. The network connection module 205 is configured to control the wireless router under test to stop signal transmission and data packet sending after a preset aging time has been reached, and to attempt to connect to a preset verification network. The result determination module 206 is configured to generate a final determination result for the wireless router under test based on the network connection result and status monitoring data. The data archiving module 207 is configured to bind and store the final judgment result and associated status monitoring data with the device identification information of the wireless router under test, forming a queryable test archive.

[0078] In one possible implementation, the steps for generating the final judgment result based on network connectivity results and status monitoring data specifically include: Determine whether the wireless router under test has successfully connected to the preset verification network; If the connection is successful, the status monitoring data will be further analyzed to determine whether any item exceeds the corresponding preset security threshold. If none of the status monitoring data exceeds the preset safety threshold, a qualified judgment result is generated; If any item in the status monitoring data exceeds the preset safety threshold, a suspicious judgment result with process data notes will be generated. If the connection fails, an unqualified result will be generated.

[0079] In one possible implementation, the startup command is received by receiving remote software commands from a test management platform, physical trigger signals from a dedicated test fixture, and dedicated button signals from the wireless router under test.

[0080] In one possible implementation, the steps for real-time acquisition of status monitoring data include: Wireless signal data, including signal strength and frequency stability indicators, is collected non-intrusively by deploying wireless detection units in the test environment. Power consumption and temperature data are collected through the power management unit or status reporting interface connected to the wireless router under test.

[0081] In one possible implementation, after the test profile is created, the following steps are also included: The status monitoring data of the wireless routers under test that are ultimately deemed unqualified or suspicious are compared with the pre-stored defect pattern library. Based on the comparison results, output possible cause prompts.

[0082] In one possible implementation, the process of analyzing status monitoring data to assist in generating a judgment result includes a step of calculating a signal stability index to quantify the wireless signal transmission stability of the wireless router under test during the aging process; the step of calculating the signal stability index includes: Obtain the signal strength data sequence of N sampling points continuously collected within a preset aging time, and the corresponding frequency stability analysis results; Calculate the average value of the signal strength data sequence; Calculate the square of the deviation between the signal strength value and the average value at each sampling point in the signal strength data sequence, sum the square values ​​of all N sampling points, and then divide by the total number of sampling points N to obtain the signal strength variance. The first intermediate factor is obtained by taking the reciprocal of the square root of the signal strength variance. Divide the average value by the theoretical maximum signal strength value corresponding to the full-power transmission threshold to obtain the second intermediate factor; The number of sampling points whose frequency deviation is lower than the preset deviation threshold within the preset aging time is counted, and this number is divided by the total number of sampling points N to obtain the third intermediate factor. Multiplying the first, second, and third intermediate factors together yields the signal stability index; the higher the value of this index, the more stable the signal transmission of the wireless router under test during the aging process.

[0083] In one possible implementation, the process of analyzing status monitoring data to assist in generating a judgment result includes a step of calculating a comprehensive aging stress coefficient to comprehensively assess the level of electro-thermal stress experienced by the wireless router under test during the aging process; the step of calculating the comprehensive aging stress coefficient includes: Acquire the temperature data sequence of N sampling points continuously collected within a preset aging time, and the working voltage data sequence of N sampling points collected synchronously; Calculate the square of the difference between the temperature value at each sampling point in the temperature data sequence and the ambient temperature constant of the test environment, sum the square values ​​of all N sampling points, and then divide by the total number of sampling points N to obtain the temperature fluctuation variance. Calculate the square of the difference between the voltage value at each sampling point in the operating voltage data sequence and the rated operating voltage value of the wireless router under test, sum the square values ​​of all N sampling points, and then divide by the total number of sampling points N to obtain the voltage fluctuation variance. Calculate the product of temperature fluctuation variance and voltage fluctuation variance, and take the square root of the product to obtain the basic stress factor; Calculate the average power consumption data of all sampling points within the preset aging time, and divide the average value by the rated power consumption value of the wireless router under test to obtain the load ratio factor. Multiplying the basic stress factor by the load proportionality factor yields the comprehensive aging stress coefficient; the higher the value of this coefficient, the greater the comprehensive electro-thermal stress the wireless router under test experiences during the aging process. The above is a schematic scheme of a wireless router stability aging test device according to this embodiment. It should be noted that the technical solution of this wireless router stability aging test device and the technical solution of the aforementioned wireless router stability aging test method belong to the same concept. Details not described in detail in the technical solution of the wireless router stability aging test device can be found in the description of the technical solution of the aforementioned wireless router stability aging test method.

[0084] Figure 3 A structural block diagram of a computing device 300 according to one embodiment of this specification is shown. The components of the computing device 300 include, but are not limited to, a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and a database 350 is used to store data.

[0085] The computing device 300 also includes an access device 340, which enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device 340 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, or a Near Field Communication (NFC) interface.

[0086] In one embodiment of this specification, the aforementioned components of the computing device 300 and Figure 3 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 3 The block diagram of the computing device shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0087] The computing device 300 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). The computing device 300 can also be a mobile or stationary server.

[0088] The processor 320 executes computer-executable instructions, which, when executed by the processor, implement the steps of the aforementioned wireless router stability aging test method. The above is an illustrative scheme of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the aforementioned wireless router stability aging test method belong to the same concept. Details not described in detail in the technical solution of the computing device can be found in the description of the technical solution of the aforementioned wireless router stability aging test method.

[0089] An embodiment of this specification also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the above-described wireless router stability aging test method.

[0090] The above is an illustrative scheme of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium belongs to the same concept as the technical solution of the aforementioned wireless router stability aging test method. Details not described in detail in the technical solution of the storage medium can be found in the description of the technical solution of the aforementioned wireless router stability aging test method.

[0091] An embodiment of this specification also provides a computer program, wherein when the computer program is executed in a computer, it causes the computer to perform the steps of the above-described wireless router stability aging test method.

[0092] The above is an illustrative example of a computer program according to this embodiment. It should be noted that the technical solution of this computer program belongs to the same concept as the technical solution of the aforementioned wireless router stability aging test method. Details not described in detail in the computer program's technical solution can be found in the description of the aforementioned wireless router stability aging test method's technical solution.

[0093] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0094] The computer instructions include computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0095] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments in this specification are not limited to the described order of actions, because according to the embodiments in this specification, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments in this specification.

[0096] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0097] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A method for aging test of wireless router stability, characterized in that, Includes the following steps: The preset aging test parameters include a list of wireless signal frequency bands, a full-power transmission threshold, a preset aging duration, a maximum packet transmission strategy parameter, and preset verification network parameters. Upon receiving the start command, the wireless router under test is controlled to enter the aging test mode based on the preset aging test parameters. In the aging test mode, the wireless router under test is controlled to continuously transmit signals at the full power transmission threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy to make it work in the peak power consumption state and continue for the preset aging time. Within the preset aging time, the status monitoring data of the wireless router under test is collected in real time, including wireless signal data, power consumption data and temperature data. After the preset aging time is reached, the wireless router under test is controlled to stop signal transmission and data packet sending, and attempts to connect to the preset verification network. Based on the network connection results and the status monitoring data, a final judgment result is generated for the wireless router under test. The final judgment result and the associated status monitoring data are bound and stored with the device identification information of the wireless router under test to form a queryable test file.

2. The wireless router stability aging test method according to claim 1, characterized in that, The step of generating the final judgment result based on the network connection result and the status monitoring data specifically includes: Determine whether the wireless router under test has successfully connected to the preset verification network; If the connection is successful, the status monitoring data will be further analyzed to determine whether any item exceeds the corresponding preset security threshold. If none of the status monitoring data exceeds the preset safety threshold, a qualified judgment result is generated; If any item in the status monitoring data exceeds the preset security threshold, a suspicious determination result with process data notes is generated. If the connection fails, an unqualified result will be generated.

3. The wireless router stability aging test method according to claim 1, characterized in that, The startup command is received in several ways, including receiving remote software commands from the test management platform, receiving physical trigger signals from a dedicated test fixture, and receiving dedicated button signals from the wireless router under test.

4. The wireless router stability aging test method according to claim 1, characterized in that, The steps for real-time acquisition of status monitoring data include: The wireless signal data, including signal strength and frequency stability indicators, is collected non-intrusively by a wireless detection unit deployed in the test environment. The power consumption data and temperature data are collected through the power management unit or status reporting interface connected to the wireless router under test.

5. The wireless router stability aging test method according to claim 1, characterized in that, After the test file is created, the following steps are also included: The status monitoring data corresponding to the wireless router under test whose final judgment result is unqualified or suspicious is compared with the pre-stored defect pattern library. Based on the comparison results, output possible cause prompts.

6. The wireless router stability aging test method according to claim 4, characterized in that, The steps for analyzing the status monitoring data include: Based on the wireless signal strength sequence and frequency stability data collected within the preset aging period, a comprehensive signal quality assessment value is generated through fusion calculation. The calculation of the signal quality assessment value integrates statistical characteristics reflecting the stability of signal transmission power, attenuation characteristics reflecting the ratio of actual transmission power to theoretical maximum power, and time proportion characteristics reflecting carrier frequency stability. The signal quality assessment value is used to quantitatively characterize the overall stability of wireless signal transmission of the wireless router under test during the aging process.

7. The wireless router stability aging test method according to claim 4, characterized in that, The steps for analyzing the status monitoring data include: Based on the temperature data sequence, operating voltage data sequence and power consumption data collected within the preset aging time, a comprehensive stress assessment value is generated through fusion calculation. The calculation of the stress assessment value integrates features reflecting the intensity of temperature fluctuations, features reflecting the intensity of voltage fluctuations, and features reflecting the actual power consumption load level; the stress assessment value is used to quantitatively characterize the level of combined electro-thermal stress that the wireless router under test experiences during the aging process.

8. A wireless router stability aging test device, characterized in that, include: The parameter determination module is configured with preset aging test parameters, which include a list of wireless signal frequency bands, a full-power transmission threshold, a preset aging duration, a maximum packet transmission strategy parameter, and a preset verification network parameter. The test startup module is configured to receive a startup command and control the wireless router under test to enter the aging test mode based on the preset aging test parameters. The aging test module is configured to control the wireless router under test to continuously transmit signals at the full power transmission threshold on its supported wireless signal frequency band and execute the maximum packet transmission strategy in the aging test mode, so that it works in the peak power consumption state and continues for the preset aging time. The data acquisition module is configured to collect the status monitoring data of the wireless router under test in real time within the preset aging time. The status monitoring data includes wireless signal data, power consumption data and temperature data. The network connection module is configured to control the wireless router under test to stop signal transmission and data packet sending after the preset aging time is reached, and to attempt to connect to the preset verification network. The result determination module is configured to generate a final determination result for the wireless router under test based on the network connection result and the status monitoring data. The data archiving module is configured to bind and store the final judgment result and the associated status monitoring data with the device identification information of the wireless router under test, forming a queryable test file.

9. A computing device, characterized in that, include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the wireless router stability aging test method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the wireless router stability aging test method according to any one of claims 1 to 7.

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