Method and system for evaluating health degree of audio and video conference equipment

Abstract

The invention provides a method and a system for evaluating the health degree of audio and video conference equipment, which comprehensively utilize a QFD thought and AHP and AI methods to construct an equipment fault model and a fault risk transfer model, solve the field problem of fault influence dependency analysis among an equipment principle, a real-time operation state and a historical operation state in equipment fault detection, and improve the reliability of the equipment fault detection. The evaluation method comprises the following steps: scanning a basic state in real time and detecting an environment in real time; verifying the integrity of the signal link; carrying out equipment performance standard test; the influence of the hardware loss on functionality is evaluated; performing actual use state testing, including limiting condition testing and fault injection testing; and performing health degree modeling and grading, and establishing a multi-dimensional comprehensive evaluation model. According to the method, a traditional regular maintenance mode is exceeded through multi-dimensional dynamic modeling and a predictive intervention mechanism, real-time environment sensing and hardware loss modeling are fused, a fault window can be pre-judged, the equipment operation fault rate is reduced, and preventive maintenance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical fault detection, and in particular to a method and system for health assessment based on audio and video conferencing equipment. Background Art

[0002] The core purpose of health assessments for audio and video conferencing equipment is to systematically monitor and predict potential equipment failures to ensure critical business continuity and user experience. By quantifying and analyzing equipment performance indicators, the risk of recording or live broadcast interruptions caused by unexpected failures can be significantly reduced, avoiding high emergency repair costs and content production losses. Furthermore, developing predictive maintenance plans based on assessment results can significantly extend equipment lifespan, optimize resource investment, ensure consistent audio and video quality that meets industry standards, and ultimately support the reliability and professionalism of audio and video services.

[0003] Existing technologies for assessing the health of audio and video conferencing equipment rely on fixed testing standards, ignoring the equipment's operating history and environmental dynamics. This leads to increased false alarms and missed detections during hot weather. Furthermore, conventional solutions rely on a passive response chain, requiring repairs only after a failure. This results in increased downtime, long downtime cycles, and high labor costs. Manual inspections of all equipment and regular replacements consume significant human resources. There is also a lack of efficient testing solutions for cooling system performance and brightness testing. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a method and system based on the health assessment of audio and video conferencing equipment to solve the problems raised in the above background technology. The present invention significantly surpasses the traditional periodic maintenance model through multi-dimensional dynamic modeling and predictive intervention mechanism, and integrates real-time environmental sensing and hardware wear modeling to predict the fault window, so that the measured failure rate is reduced, and the average repair time can be effectively shortened. By automatically improving the weight of heat dissipation performance and synchronously lowering the weight of non-sensitive indicators, misjudgment or missed detection in the high temperature season can be avoided, and batch equipment downtime due to heat dissipation failure can also be avoided, thereby improving maintenance resource utilization. Targeted testing of the heat dissipation system performance and the brightness consistency of video equipment are also tested, and the crosstalk problem of the equipment is also incorporated into the evaluation system.

[0005] In order to achieve the above object, the present invention is implemented through the following technical solution: a method for health assessment based on audio and video conferencing equipment, comprising the following steps:

[0006] S1. Basic status scan and environmental testing: Invoke the device's built-in diagnostic system to collect self-test reports covering data such as power-on duration, number of restarts, and firmware version. Electromagnetic interference testing and power quality testing are also performed. An infrared thermal imager is used to scan the device's surface temperature distribution. Areas with temperatures exceeding 45°C are marked as heat dissipation defects. The cooling system effectiveness of the audio and video conferencing equipment is tested using a cooling system tester.

[0007] S2: Verify the integrity of the signal link by connecting an oscilloscope to test the level stability and collect the synchronization signal offset status information;

[0008] S3. Conduct standard equipment performance tests, including audio equipment, video equipment, and network AV. The audio equipment test items include total harmonic distortion, noise, and frequency response. The video equipment test items include color reproduction error and brightness uniformity. The network AV test items include stream delay. The brightness detection unit inside the test equipment detects the brightness consistency of the video equipment.

[0009] S4. Evaluate the impact of hardware wear on functionality. The evaluated hardware types include mechanical structures and power modules. The power modules are tested for capacitor bulges. If the ESR value exceeds the nominal value by 20%, a warning signal is triggered. The mechanical structures are tested for power equipment noise levels. If the noise level exceeds 45dB@1m, a warning signal is triggered.

[0010] S5. Conduct actual usage testing, including extreme operating condition testing and fault injection testing. Start the audio and video conferencing equipment under test and run it continuously for 72 hours before conducting a stability test and simulating a sudden peak load test. The fault injection includes simulating signal interruption and simulating network packet loss.

[0011] S6. Health modeling and grading: establish a multidimensional evaluation model, set verification standards for the high temperature season, and adjust thresholds according to test items. The verification standards for the high temperature season include: the qualified threshold for weighted response delay is ≤5 seconds, and the standard for other seasons is ≤2 seconds; the qualified threshold for health correction error is +0.5 points; the qualified threshold for fault prediction accuracy is ≥90%, and the standard for other seasons is ≥94.7%; use a spectrum analyzer to capture crosstalk signals with a dynamic range of ≥80dB, and use a vector network analyzer to locate the PCB board-level crosstalk path.

[0012] Furthermore, step S1 establishes a health benchmark through device self-test data collection and quantitative analysis of environmental parameters. After the device is powered on and running stably for 30 minutes, the following operations are performed: the audio device detects the number of peak load triggers, the power amplifier is calibrated if it has an average of 3 overloads per month, the camera / encoder verifies the firmware version, an infrared thermal imager is used to scan the device surface temperature distribution, and areas with temperatures above 45°C are marked as heat dissipation defects. A humidity sensor is deployed in the device air intake duct, and an early warning is issued if the relative humidity is continuously above 70%.

[0013] Electromagnetic interference testing and power quality testing include the following: Electromagnetic interference (EMI) testing is performed in a standard electromagnetic shielding room. A receiving antenna and test receiver are used to measure the radiated and conducted interference generated by the equipment when playing audio or video. The radiated interference parameters are 30MHz-6GHz. The conducted interference is fed back to the power grid through the power line with a frequency of 150kHz-30MHz. Compliance is evaluated against the CISPR 32 standard limits.

[0014] Furthermore, it also includes power quality detection using a power quality analyzer connected to the equipment power supply circuit to simulate grid fluctuations and monitor the equipment's operating stability. The grid fluctuations include voltage sags, interruptions, and frequency deviations. At the same time, the harmonic currents and voltage fluctuations / flicker generated by the equipment itself are measured. The measurement standard is based on the IEC 61000-3-2 standard. The process is completed when the equipment is at full load and under typical operating conditions. A test report is generated immediately after the data is recorded.

[0015] Furthermore, the signal link integrity verification process includes segmented signal quality quantitative analysis and redundant link stress testing. Audio equipment uses pink noise signals to detect full-band fluctuations. Video equipment measures brightness consistency through a full white field test pattern. LED screen center / edge difference is calibrated when it exceeds 18%. HDMI link clock jitter measurement and SDI system tri-level synchronization offset detection are then performed.

[0016] The redundant link stress test includes the following: setting up a dual-link hot-standby architecture, with optical fiber as the primary link and Cat6 cable as the redundant link; injecting peak load traffic of 4K HDR@60fps and 20-channel AES67 audio streams; manually disconnecting the primary link optical fiber interface; monitoring switching time; simulating 30% network packet loss and 50ms jitter; testing the FEC error correction recovery rate of the AV-over-IP system; and simultaneously loading 120% of the bandwidth on the primary and backup links to verify frame loss-free switching performance.

[0017] Furthermore, the specific process of the performance benchmark test is as follows: a test platform is set up in a constant temperature and humidity laboratory that complies with ISO / IEC standards. The audio and video signal sources are connected to the device under test (DUT) via standard cables, and the output end is connected to a high-precision analysis instrument. The device is preheated to a stable working state and operated under rated load. Based on the environmental parameters collected in step S1, if the voltage fluctuation is greater than ±8%, the full load test is disabled for the device under test and the derating mode is activated. If the humidity is continuously greater than 70% RH, the frequency of insulation resistance testing is increased.

[0018] Inject a standard level sine wave signal into the audio device and use an audio analyzer to measure total harmonic distortion plus noise, signal-to-noise ratio, frequency response, channel separation, and output level / power;

[0019] Input standard test charts to video equipment and use a video analyzer to measure resolution, color reproduction accuracy, brightness / contrast range, grayscale linearity, signal jitter / timing error, and interface bandwidth.

[0020] Furthermore, the process of evaluating the health of hardware wear includes: using an LCR meter to measure the capacitance / inductance drift and equivalent series resistance increase of key components; using a power analyzer to record the power conversion efficiency drop and abnormal fluctuations in standby power consumption, and comparing them with the factory baseline data; performing physical wear tests on the optical drive, fan, and plug-in interface, and analyzing the motor bearing noise spectrum; using an infrared thermal imager to scan the temperature difference abnormalities caused by oxidation and dust accumulation on the radiator; performing high and low temperature cycles in a temperature and humidity test chamber, with a temperature range of -10°C↔85°C, 50 cycles; high temperature and high humidity storage, 40°C / 93%RH, 720 hours, monitoring the micro cracks of component solder joints, and testing the brittle state of plastic parts through impact strength testing. After every 10 high and low temperature cycles, an infrared thermal imager is used to detect the temperature distribution of the components. If the temperature difference exceeds the threshold, it is determined that there is a risk of failure; if a single function is abnormal during the cycle but recovers automatically, it is determined to be a minor defect; if the same fault occurs three times cumulatively during multiple cycles, it is determined to be a common defect; if the cycle causes permanent hardware damage, it is determined to be a serious defect.

[0021] Integrate real-time sensor data, maintenance records, and user operation logs, and input them into the Weibull distribution model to calculate the remaining life probability. The real-time sensor data includes temperature, vibration, and current.

[0022] Furthermore, in step S6, the healthiness model is:

[0023] Health index = (K1 × performance degradation rate) × (K2 × environmental adaptability coefficient) × (K3 × aging risk value) × (K4 × high and low temperature cycle risk level) × (K5 × crosstalk index)

[0024] Among them, K1=0.4; K2=0.1; K3=0.15; K3=0.2; K3=0.15, the performance degradation rate is the benchmark test evaluation result in step S3, the environmental adaptability coefficient is the environmental data evaluation result in step S1, the aging risk value is the wear evaluation result in step S4, the high and low temperature cycle risk degree is the high and low temperature cycle test result in S4, and the crosstalk index is the detection result of the crosstalk signal in step S6.

[0025] An evaluation system used in the above-mentioned evaluation method, the evaluation system includes a data acquisition layer, an analysis and control layer, an execution response layer, a visualization interaction layer, a cloud management platform and a QFD fusion architecture, the data acquisition layer includes an environmental monitoring terminal and an equipment probe; the analysis and control layer is equipped with an intelligent diagnosis engine and predictive maintenance; the execution response layer is provided with an automatic switching system, a robot operation and maintenance unit and a dynamic derating controller; the visualization interaction layer is used to output a three-dimensional health heat map and push alarms based on a mobile terminal; a digital twin archive and a supply chain collaboration interface are established in the cloud management platform, and an energy efficiency optimization center is provided. The QFD fusion architecture includes a three-level conversion model, which includes three parts: conversion of user needs towards technical characteristics, conversion of technical characteristics towards evaluation indicators, and conversion of evaluation indicators towards operation and maintenance actions.

[0026] Furthermore, the data acquisition layer locates cabinet hotspots in real time through environmental monitoring terminals, and sends an alarm signal when the temperature is greater than 45°C, tracks harmonic interference sources through power quality analysis, and the equipment probe uses a capacitor ESR online monitor to provide real-time thermal collapse warnings for the power module, and automatically triggers a power outage when the temperature is greater than 105°C; the QFD fusion architecture is used for the dynamic allocation of demand weights in summer, including: user needs include long-life equipment operation and efficient energy utilization. For the demand for long-life equipment operation, the conventional weight is 20%, and the summer weight is additionally increased to 35%, and the technical feature is enhanced to capacitor ESR monitoring frequency × 3; for the demand for efficient energy utilization of equipment, the conventional weight is 15%, and the summer weight is additionally increased to 5%, and the technical feature is enhanced to remove the power limit of the cooling fan.

[0027] Furthermore, the analysis and control layer is provided with a dynamic weight allocator, which automatically increases the weight of the heat dissipation index according to the seasonal temperature. When the ambient temperature range is T≤25°C, the heat dissipation weight base value is 20%; when the ambient temperature range is 26°C≤T≤30°C, the heat dissipation weight base value is 25%; when the ambient temperature range is T≥31°C, the heat dissipation weight base value is 35%;

[0028] Temperature accelerated aging compensation formula:

[0029] Life attenuation coefficient = e 0.08×(T−25) (T≥25℃)

[0030] Dynamic correction model of health:

[0031]

[0032] Alarm push uses a hierarchical notification strategy. When the health index is less than 75 points, a parts replacement list is pushed to the operation and maintenance supervisor's mobile phone.

[0033] Environmental collection and equipment scanning are completed simultaneously through AHP-AI collaborative perception. Specifically, it includes the following: deep learning prediction through AI technology, remaining life prediction based on LSTM, and reinforcement learning optimization to achieve dynamic generation of optimal maintenance strategies; combined with AHP quantitative decision-making, scientific weight distribution in the evaluation method is achieved, and a conflict resolution mechanism is provided: when the heat dissipation demand (weight 0.35) conflicts with the silent requirement (weight 0.15), the variable frequency heat dissipation solution is automatically selected through AHP quantitative decision-making.

[0034] Beneficial effects of the present invention:

[0035] 1. This method for assessing the health of audio and video conferencing equipment significantly surpasses traditional periodic maintenance models through multi-dimensional dynamic modeling and predictive intervention mechanisms. By integrating real-time environmental sensing with hardware wear modeling, it can predict failure windows, reduce the measured failure rate, and effectively shorten the mean time to repair.

[0036] 2. This invention dynamically adjusts health weights, automatically increasing the weight of heat dissipation performance while simultaneously decreasing the weight of non-sensitive indicators. This prevents misjudgments or missed detections during hot seasons, and also prevents mass equipment downtime due to heat dissipation failure, thereby improving maintenance resource utilization. It also allows for targeted testing of heat dissipation system performance and brightness consistency of video equipment.

[0037] 3. The redundant link stress test of this invention exposes high-temperature chain failures, and by analyzing and locating the source of the failure, it ensures the reliability of critical tasks. It can achieve full-link tracking of capacitor thermal collapse, power supply fluctuations, and video interruptions. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a flow chart of a method for health assessment of audio and video conferencing equipment based on the present invention;

[0039] Figure 2 This is a system structure diagram based on the health assessment of audio and video conferencing equipment in the present invention;

[0040] Figure 3 is a structural diagram of the test equipment used in the evaluation system of the present invention;

[0041] Figure 4 It is a structural diagram of the side closing unit part of the present invention;

[0042] Figure 5 It is a structural diagram of the top closed unit part of the present invention;

[0043] Figure 6 This is a structural diagram of the airflow control system of the present invention;

[0044] Figure 7 is a structural diagram of the brightness monitoring unit of the present invention;

[0045] Figure 8 This is a structural diagram of the end of the top closed plate;

[0046] In the figure: 1. test bench; 2. test box; 3. opening; 4. air flow control system; 5. heat dissipation duct; 6. second solenoid valve; 7. side sealing unit; 8. top sealing unit; 9. side guide sleeve; 10. first electric telescopic rod; 11. side sealing plate; 12. first rubber strip; 13. guide column; 14. top guide sleeve; 15. second electric telescopic rod; 16. interlayer; 17. top sealing plate; 18. light-transmitting plate; 19. second rubber strip; 20. brightness monitoring unit; 21. cover plate; 22. air intake duct; 23. first solenoid valve; 24. rotating shaft; 25. light inlet; 26. light inlet channel; 27. photosensitive module; 28. slide groove; 29. ​​slider. DETAILED DESCRIPTION

[0047] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0048] See also Figures 1 to 8 The present invention provides the following technical solution: a method for health assessment of audio and video conferencing equipment, comprising the following steps:

[0049] S1. Basic status scan and environmental detection: Invoke the device's built-in diagnostic system to collect self-test reports. The self-test reports cover data such as power-on duration, number of restarts, and firmware version. Electromagnetic interference testing and power quality testing are also performed.

[0050] A health benchmark is established through device self-test data collection and quantitative analysis of environmental parameters. After the device has been powered on and running stably for 30 minutes, the following actions are performed: Audio equipment is tested for peak load triggering times. Amplifiers are calibrated for an average of 3 or more overloads per month. Cameras and encoders are checked for firmware versions. An infrared thermal imager is used to scan the device surface for temperature distribution. Areas with temperatures exceeding 45°C are marked as heat dissipation defects. A humidity sensor is deployed in the device's air intake duct 22. If the relative humidity is consistently above 70%, an alert is issued.

[0051] Electromagnetic interference testing and power quality testing include the following: Electromagnetic interference (EMI) testing is performed in a standard electromagnetic shielding room. A receiving antenna and test receiver are used to measure the radiated and conducted interference generated by the equipment when playing audio or video. The radiated interference parameters are 30MHz-6GHz. The conducted interference is fed back to the power grid through the power line with a frequency of 150kHz-30MHz. Compliance is evaluated against the CISPR 32 standard limits.

[0052] This includes power quality testing, which uses a power quality analyzer to connect to the equipment power supply circuit, simulate grid fluctuations and monitor equipment operational stability. Grid fluctuations include voltage sags, interruptions, and frequency deviations. Harmonic currents and voltage fluctuations / flicker generated by the equipment itself are also measured. The measurement standard is based on IEC 61000-3-2. The process is completed under full load and typical operating conditions. A test report is generated immediately after data is recorded.

[0053] S2: Verify the integrity of the signal link by connecting an oscilloscope to test the level stability and collect the synchronization signal offset status information.

[0054] The signal link integrity verification process includes segmented signal quality quantitative analysis and redundant link stress testing. Audio equipment uses pink noise signals to detect full-band fluctuations. Video equipment measures brightness consistency using a full-white test pattern. LED screen center / edge differences are calibrated when they exceed 18%. HDMI link clock jitter measurement and SDI system tri-level sync offset detection are then performed.

[0055] The redundant link stress test includes the following: setting up a dual-link hot-standby architecture, with optical fiber as the primary link and Cat6 cable as the redundant link; injecting peak load traffic of 4K HDR@60fps and 20-channel AES67 audio streams; manually disconnecting the primary link optical fiber interface; monitoring switching time; simulating 30% network packet loss and 50ms jitter; testing the FEC error correction recovery rate of the AV-over-IP system; and simultaneously loading 120% of the bandwidth on the primary and backup links to verify frame loss-free switching performance.

[0056] S3. Conduct equipment performance standard tests, including audio equipment, video equipment, and network AV. The audio equipment test items include total harmonic distortion, noise, and frequency response. The video equipment test items include color reproduction error and brightness uniformity. The network AV test items include stream delay.

[0057] The specific process of performance benchmark testing is as follows: a test platform is set up in a constant temperature and humidity laboratory that complies with ISO / IEC standards. The audio and video signal sources are connected to the device under test (DUT) via standard cables, and the outputs are connected to high-precision analysis instruments. The equipment is preheated to a stable working state and operated under rated load.

[0058] Inject a standard level sine wave signal into the audio device and use an audio analyzer to measure total harmonic distortion plus noise, signal-to-noise ratio, frequency response, channel separation, and output level / power;

[0059] Input standard test charts to video equipment and use a video analyzer to measure resolution, color reproduction accuracy, brightness / contrast range, grayscale linearity, signal jitter / timing error, and interface bandwidth.

[0060] S4. Evaluate the impact of hardware wear on functionality. The evaluated hardware types include mechanical structures and power modules. The power modules are tested for capacitor bulges. If the ESR value exceeds the nominal value by 20%, a warning signal is triggered. The mechanical structures are tested for power equipment noise levels. If the noise level exceeds 45dB@1m, a warning signal is triggered.

[0061] The process for assessing hardware wear and health includes: using an LCR meter to measure capacitance / inductance drift and equivalent series resistance increase of key components; using a power analyzer to record the decline in power conversion efficiency and abnormal fluctuations in standby power consumption, and comparing them with factory baseline data; performing physical wear tests on optical drives, fans, and plug-in interfaces, and analyzing the noise spectrum of motor bearings; using an infrared thermal imager to scan for temperature anomalies caused by oxidation and dust accumulation on the heat sink; performing high and low temperature cycles in a temperature and humidity test chamber, ranging from -10°C to 85°C, for 50 cycles; performing high temperature and high humidity storage at 40°C / 93% RH for 720 hours, monitoring component solder joints for microcracks, and performing impact strength tests to determine the embrittlement of plastic parts;

[0062] Integrate real-time sensor data, maintenance records, and user operation logs, and input them into the Weibull distribution model to calculate the remaining life probability. The real-time sensor data includes temperature, vibration, and current.

[0063] S5. Conduct actual usage testing, including extreme operating condition testing and fault injection testing. Start the audio and video conferencing equipment under test and run it continuously for 72 hours before conducting a stability test and simulating a sudden peak load test. The fault injection includes simulating signal interruption and simulating network packet loss.

[0064] Based on the device's application environment, design typical failure scenarios, including signal interruptions, protocol errors, power supply fluctuations, and packet loss. Design and stress loads include high concurrent connections, extreme bit rates, and continuous full-load operation. Prepare test tools and monitoring systems, manually trigger pre-set failures, and observe the device's self-recovery capabilities and anomaly tables. Pre-set failures include cable unplugging, electromagnetic interference injection, and simulated codec errors.

[0065] Superimpose multiple loads and continue running until the system crashes or reaches the performance threshold. Record data such as response delay, lag rate, resource usage, etc., locate the root cause of the failure through logs and monitoring data, output test reports and propose improvement measures.

[0066] Specifically, the test includes: injecting 4K120Hz HDR video stream + 20-channel lossless audio for 72 hours; voltage transient: AC power ±25V impact; mechanical vibration: 6Hz / 0.5mm simulated resonance; injecting 50ms jitter + 30% packet loss to test the FEC error correction and recovery capabilities; randomly cutting off the main signal link to verify that the redundant switching is ≤0.5 seconds.

[0067] S6. Health modeling and grading: establish a multidimensional evaluation model, set verification standards for the high temperature season, and adjust thresholds according to test items. The verification standards for the high temperature season include: the qualified threshold for weighted response delay is ≤5 seconds, and the standard for other seasons is ≤2 seconds; the qualified threshold for health correction error is +0.5 points; the qualified threshold for fault prediction accuracy is ≥90%, and the standard for other seasons is ≥94.7%; use a spectrum analyzer to capture crosstalk signals with a dynamic range of ≥80dB, and use a vector network analyzer to locate the PCB board-level crosstalk path.

[0068] In step S6, the health model is:

[0069] Health index = (K1 × performance degradation rate) × (K2 × environmental adaptability coefficient) × (K3 × aging risk value) × (K4 × high and low temperature cycle risk level) × (K5 × crosstalk index)

[0070] Among them, K1=0.4; K2=0.1; K3=0.15; K3=0.2; K3=0.15, the performance degradation rate is the benchmark test evaluation result in step S3, the environmental adaptability coefficient is the environmental data evaluation result in step S1, the aging risk value is the wear evaluation result in step S4, the high and low temperature cycle risk degree is the high and low temperature cycle test result in S4, and the crosstalk index is the detection result of the crosstalk signal in step S6.

[0071] This embodiment also provides an evaluation system used in the above-mentioned evaluation method, which includes a data acquisition layer, an analysis and control layer, an execution response layer, a visualization interaction layer, a cloud management platform and a QFD fusion architecture. The data acquisition layer includes an environmental monitoring terminal and an equipment probe; the analysis and control layer is equipped with an intelligent diagnosis engine and predictive maintenance; the execution response layer is provided with an automatic switching system, a robot operation and maintenance unit and a dynamic derating controller; the visualization interaction layer is used to output a three-dimensional health thermogram and push alarms based on a mobile terminal; the cloud management platform is equipped with a digital twin archive, a supply chain collaboration interface, and an energy efficiency optimization center.

[0072] In this embodiment, the data collection layer uses environmental monitoring terminals to locate cabinet hotspots in real time, sending an alarm signal if the temperature exceeds 45°C. Power quality analysis is used to track the source of harmonic interference. The equipment probe uses online capacitor ESR monitoring to provide real-time warnings of power module thermal failure, automatically triggering a power outage if the temperature exceeds 105°C. The analysis and control layer features a dynamic weight allocator that automatically increases the weight of heat dissipation indicators based on seasonal temperatures. Alert push notifications utilize a tiered notification strategy, sending a component replacement list to the operations manager's mobile phone when the health index falls below 75.

[0073] This embodiment also provides a test device for the above-mentioned evaluation method and system, which is used to test the heat dissipation effectiveness of the built-in heat dissipation system of the audio and video conferencing equipment during operation, and to specifically detect the brightness consistency provided by the surface of the video equipment. The device includes a test bench 1, a test box 2, an airflow control system 4, a sealing unit and a brightness detection unit, wherein the sealing unit includes a side sealing unit 7 and a top sealing unit 8, the test box 2 is installed on the surface of the test bench 1, and an opening 3 is opened at one end of the test box 2. The top of the opening 3 is movably connected to the cover 21 through a rotating shaft 24, and the surface of the cover 21 and the other end of the test box 2 are equipped with an airflow control system 4.

[0074] In this embodiment, when the cooling system effectiveness test is performed on the audio and video conferencing device to be tested, the device to be tested is directly placed inside the test box 2. After closing the cover 21 at the upper opening 3, the top closing unit 8 and the side closing units 7 on both sides are controlled to push until the surface of the device to be tested is pressed and fitted, thereby achieving a blocking effect on the two end areas of the device to be tested. When the device to be tested is placed inside the test box 2, the air intake area and the exhaust area of ​​the cooling system in the device need to be blocked by the above-mentioned closing units respectively, and then the cover 21 can be closed, and the subsequent air flow control unit can be used to achieve the purpose of testing the cooling system.

[0075] During the test, the top closing unit 8 and the side closing unit 7 are used to completely separate the air inlet area and the air outlet area, and the side closing unit 7 includes a side guide sleeve 9, a first electric telescopic rod 10 and a side closing plate 11. The surface of the side guide sleeve 9 is screwed with the first electric telescopic rod 10, and the end of the first electric telescopic rod 10 is welded with the side closing plate 11. The end of the side closing plate 11 is affixed with a first rubber strip 12, and the top closing unit 8 includes a top guide sleeve 14, a second electric telescopic rod 15 and a top closing plate 17. The top guide sleeve 14 is welded to the top of the test box 2, and the side guide sleeve 9 is welded to both sides of the test box 2. The surface of the top guide sleeve 14 is installed with the second electric telescopic rod 15, and the end of the second electric telescopic rod 15 is welded to the edge of the top closing plate 17. The end of the top closing plate 17 is affixed with a second rubber strip 19.

[0076] By activating the first electric telescopic rod 10 and the second electric telescopic rod 15 respectively, the top closing plate 17 and the side closing plate 11 can be moved simultaneously, and the first rubber strip 12 is pressed against the two sides of the device under test, while the second rubber strip 19 is pressed against the top of the device under test. The surfaces of the side closing plates 11 and the top closing plate 17 are in contact with each other. At this time, the middle and outer areas of the entire device under test can be directly blocked from the side, preventing the airflow inside the test box 2 from flowing along the surface of the device under test, thereby reducing the interference of the airflow inside the test box 2 on the heat dissipation performance of the entire device when restricting the subsequent heat dissipation system.

[0077] When conducting a heat dissipation performance test, an air flow control system 4 is used. The air flow control system 4 includes a heat dissipation pipe 5, a second solenoid valve 6, an air intake pipe 22 and a first solenoid valve 23. The heat dissipation pipe 5 is welded to one end of the test box 2, and the second solenoid valve 6 is installed on the surface of the heat dissipation pipe 5. The air intake pipe 22 is welded to the surface of the cover plate 21, and the first solenoid valve 23 is installed on the surface of the air intake pipe 22. When the first solenoid valve 23 and the second solenoid valve 6 are controlled to be closed, the external airflow can be blocked from entering the interior of the test box 2. At this time, after the device to be tested is started, the heat dissipation system cannot be connected to the external space, and the space inside the test box 2 is blocked by the above-mentioned closed unit. Therefore, after the entire device is started, the heat dissipation system cannot drive the airflow, making the heat dissipation system in a state of being almost ineffective. At this time, after the device is controlled to run for 1 hour, 2 hours, and 5 hours, the surface temperature of the device can be detected with the help of an infrared thermal imager, and then the device can be shut down for 24 hours. Then, by opening the corresponding solenoid valves on the air inlet pipe 22 and the heat dissipation pipe 5, the internal airflow of the test box 2 can flow, and the above-mentioned temperature test process of the device is repeated again while maintaining this state, the device temperature data under the normal operation of the heat dissipation system can be obtained.

[0078] This embodiment also provides a process for testing the brightness consistency of the display screen of the video device. The test item uses the brightness monitoring unit 20 on the bottom side of the top closed unit 8. The brightness monitoring unit 20 includes a light-transmitting plate 18, a light inlet 25, a light inlet channel 26 and a photosensitive module 27. The light-transmitting plate 18 is installed at the bottom of the top closed plate 17. A slide groove 28 is welded on one side of the top closed plate 17. A slider 29 is embedded in the inside of the slide groove 28, and a light inlet 25 is installed on the inner side of the slider 29. A light inlet channel 26 is provided at the rear end of the light inlet 25, and a photosensitive module 27 is installed inside the light inlet channel 26.

[0079] During the test, the video device to be tested is placed directly on one side of the closed unit inside the test box 2, and the display screen is pressed against the surface of the top closed plate 17. Then, the first electric telescopic rod 10 in the side closed unit 7 is controlled to move, driving the two side closed plates 11 to move until the two sides of the light inlet 25 are clamped. At this time, the two first electric telescopic rods 10 are controlled to always perform opposite movements, that is, the two first electric telescopic rods 10 respectively contract and extend, so that the clamped brightness monitoring unit 20 can be translated along the inside of the slide groove 28, and the top closed plate 17 gradually moves downward. , the corresponding area between the light inlet 25 and the display screen surface of the video device under test can be changed. Since the range of the light inlet 25 is always fixed, after turning on the full white field test pattern of the video device under test, the two side closing plates 11 are used to change the brightness range of the light inlet 25 corresponding to the video device under test in the horizontal direction, and then the lifting movement of the top closing plate 17 is controlled to change the brightness range of the light inlet 25 corresponding to the video device under test in the vertical direction. In this way, the brightness data of different ranges inside the video device under test can be comprehensively obtained, and the deviation of the brightness consistency of the device under test can be judged based on the collected data.

[0080] The basic principles, main features and advantages of the present invention are shown and described above. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention.

[0081] In addition, it should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A method for health assessment of audio and video conferencing equipment, characterized in that: The following steps are involved: S1. Basic status scan and environmental testing: Invoke the device's built-in diagnostic system to collect self-test reports covering data such as power-on duration, number of restarts, and firmware version. Electromagnetic interference testing and power quality testing are also performed. An infrared thermal imager is used to scan the device's surface temperature distribution. Areas with temperatures exceeding 45°C are marked as heat dissipation defects. The cooling system effectiveness of the audio and video conferencing equipment is tested using a cooling system tester. S2: Verify the integrity of the signal link by connecting an oscilloscope to test the level stability and collect the synchronization signal offset status information; S3. Conduct standard equipment performance tests, including audio equipment, video equipment, and network AV. The audio equipment test items include total harmonic distortion, noise, and frequency response. The video equipment test items include color reproduction error and brightness uniformity. The network AV test items include stream delay. The brightness detection unit inside the test equipment detects the brightness consistency of the video equipment. S4. Evaluate the impact of hardware wear on functionality. The evaluated hardware types include mechanical structures and power modules. The power modules are tested for capacitor bulging. If the ESR value exceeds the nominal value by 20%, a warning signal is triggered. The mechanical structures are tested for power equipment noise levels. If the noise level exceeds 45dB@1m, a warning signal is triggered. High and low temperature cycling tests are also performed. S5. Conduct actual usage testing, including extreme operating condition testing and fault injection testing. Start the audio and video conferencing equipment under test and run it continuously for 72 hours before conducting a stability test and simulating a sudden peak load test. The fault injection includes simulating signal interruption and simulating network packet loss. S6. Health modeling and grading: establish a multidimensional evaluation model, set verification standards for the high temperature season, and adjust thresholds according to test items. The verification standards for the high temperature season include: the qualified threshold for weighted response delay is ≤5 seconds, and the standard for other seasons is ≤2 seconds; the qualified threshold for health correction error is +0.5 points; the qualified threshold for fault prediction accuracy is ≥90%, and the standard for other seasons is ≥94.7%; use a spectrum analyzer to capture crosstalk signals with a dynamic range of ≥80dB, and use a vector network analyzer to locate the PCB board-level crosstalk path.

2. A method for health assessment based on audio and video conferencing equipment according to claim 1, characterized in that: Step S1 builds a health benchmark through device self-test data collection and environmental parameter quantitative analysis. After the device is powered on and running stably for 30 minutes, the following is performed: the audio device detects the number of peak load triggers, and the power amplifier is calibrated if the average monthly overload is ≥3 times; Electromagnetic interference testing and power quality testing include the following: Electromagnetic interference (EMI) testing is performed in a standard electromagnetic shielding room, using a receiving antenna and test receiver to measure the radiated and conducted interference generated by the equipment when playing audio and video. The radiated interference parameters are 30MHz-6GHz, and the conducted interference is fed back to the power grid through the power line with a frequency of 150kHz-30MHz.

3. The method for health assessment of audio and video conferencing equipment according to claim 2, characterized in that: It also includes power quality testing, using a power quality analyzer to connect to the equipment power supply circuit, simulate grid fluctuations and monitor the equipment's operating stability. Grid fluctuations include voltage sags, interruptions, and frequency deviations. At the same time, the harmonic currents and voltage fluctuations / flicker generated by the equipment itself are measured. The measurement standard is based on IEC 61000-3-2. The process is completed under full load and typical operating conditions. A test report is generated immediately after the data is recorded.

4. The method for health assessment of audio and video conferencing equipment according to claim 1, characterized in that: The signal link integrity verification process includes segmented signal quality quantitative analysis and redundant link stress testing. Audio equipment uses pink noise signals to detect full-band fluctuations. Video equipment measures brightness consistency using a full-white test pattern. Calibration is performed when the center / edge difference of the LED screen is greater than 18%. HDMI link clock jitter measurement and SDI system tri-level synchronization offset detection are then performed.

5. The method for health assessment based on audio and video conferencing equipment according to claim 1, characterized in that: The specific process of performance benchmark testing is as follows: a test platform is set up in a constant temperature and humidity laboratory that complies with ISO / IEC standards. The audio and video signal sources are connected to the device under test (DUT) through standard cables, and the output end is connected to a high-precision analysis instrument. The equipment is preheated to a stable working state and operates under rated load. According to the environmental parameters collected in step S1, when the voltage fluctuation is greater than ±8%, the full load test of the device under test is disabled and the derating mode is activated. When the humidity is continuously greater than 70% RH, the frequency of insulation resistance testing is increased.

6. The method for health assessment of audio and video conferencing equipment according to claim 1, characterized in that: The process of evaluating the health of hardware wear and tear includes: using an LCR meter to measure the capacitance / inductance drift and equivalent series resistance rise of key components; using an infrared thermal imager to scan the temperature difference abnormalities caused by oxidation and dust accumulation on the radiator; performing high and low temperature cycles in a temperature and humidity test chamber, with a temperature range of -10°C ↔ 85°C, for 50 cycles; high temperature and high humidity storage, 40°C / 93%RH, for 720 hours, monitoring micro-cracks in the solder joints of components, and testing the brittle state of plastic parts through impact strength testing. After every 10 high and low temperature cycles, an infrared thermal imager is used to detect the temperature distribution of the components. If the temperature difference exceeds the threshold, it is determined that there is a risk of failure; if a single function is abnormal during the cycle but recovers automatically, it is determined to be a minor defect; if the same failure occurs three times cumulatively during multiple cycles, it is determined to be a common defect; if the cycle process causes permanent hardware damage, it is determined to be a serious defect.

7. The method for health assessment of audio and video conferencing equipment according to claim 6, characterized in that: In step S6, the health model is: Health index = (K1 × performance degradation rate) × (K2 × environmental adaptability coefficient) × (K3 × aging risk value) × (K4 × high and low temperature cycle risk level) × (K5 × crosstalk index) Among them, K1=0.4; K2=0.1; K3=0.15; K3=0.2; K3=0.15, the performance degradation rate is the benchmark test evaluation result in step S3, the environmental adaptability coefficient is the environmental data evaluation result in step S1, the aging risk value is the wear evaluation result in step S4, the high and low temperature cycle risk degree is the high and low temperature cycle test result in S4, and the crosstalk index is the detection result of the crosstalk signal in step S6.

8. An evaluation system for use in the method according to claim 1, characterized in that: The evaluation system includes a data acquisition layer, an analysis and control layer, an execution response layer, a visualization interaction layer, a cloud management platform and a QFD fusion architecture. The data acquisition layer includes an environmental monitoring terminal and equipment probes; the analysis and control layer is equipped with an intelligent diagnosis engine and predictive maintenance; the execution response layer is equipped with an automatic switching system, a robot operation and maintenance unit and a dynamic derating controller; the visualization interaction layer is used to output a three-dimensional health heat map and push alarms based on a mobile terminal; the cloud management platform has a digital twin archive, a supply chain collaboration interface, and an energy efficiency optimization center. The QFD fusion architecture includes a three-level conversion model, which includes three parts: the conversion of user needs towards technical characteristics, the conversion of technical characteristics towards evaluation indicators, and the conversion of evaluation indicators towards operation and maintenance actions.

9. The evaluation system according to claim 8, wherein: The data acquisition layer uses the environmental monitoring terminal to locate cabinet hot spots in real time, and sends an alarm signal when the temperature exceeds 45°C. It also tracks the source of harmonic interference through power quality analysis. The equipment probe uses the capacitor ESR online monitor to provide real-time warning of power module thermal collapse, and automatically triggers a power outage when the temperature exceeds 105°C. The QFD fusion architecture is used for the dynamic allocation of demand weights in summer, including: user demands include long-life equipment operation and efficient energy utilization. The conventional weight for the demand for long-life equipment operation is 20%, and the weight is increased to 35% in summer, and the technical feature is enhanced to capacitor ESR monitoring frequency × 3; the conventional weight for the demand for efficient energy utilization of equipment is 15%, and the weight is increased to 5% in summer, and the technical feature is enhanced to remove the power limit of the cooling fan.

10. The evaluation system according to claim 8, wherein: The analysis and control layer is equipped with a dynamic weight allocator, which automatically increases the weight of the heat dissipation index according to the seasonal temperature. When the ambient temperature range is T≤25℃, the heat dissipation weight base value is 20%; when the ambient temperature range is 26℃≤T≤30℃, the heat dissipation weight base value is 25%; when the ambient temperature range is T≥31℃, the heat dissipation weight base value is 35%; Temperature accelerated aging compensation formula: Life attenuation coefficient = e 0.08×(T−25) (T≥25℃) Dynamic correction model of health: Alarm push uses a hierarchical notification strategy. When the health index is less than 75 points, a parts replacement list is pushed to the operation and maintenance supervisor's mobile phone. Environmental collection and equipment scanning are completed simultaneously through AHP-AI collaborative perception, specifically including the following: deep learning prediction through AI technology, remaining life prediction based on LSTM, and reinforcement learning optimization to dynamically generate the best maintenance strategy; combined with AHP quantitative decision-making, scientific weight distribution in the evaluation method is achieved, and a conflict resolution mechanism is provided: when the heat dissipation demand conflicts with the silent demand, the variable frequency heat dissipation solution is automatically selected through AHP quantitative decision-making.

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