A method and system for evaluating health degree of audio and video conference equipment

Abstract

The application provides a kind of based on audio and video conference equipment health degree evaluation method and system, comprehensively use QFD thought, AHP and AI method, construct equipment failure model and failure risk transmission model, solve the field problem of the dependence degree analysis between equipment principle, real-time running state and historical running state in equipment failure detection, wherein the evaluation method includes: basic state real-time scanning and environment real-time detection;Signal link integrity verification;Carry out equipment performance standard test;The influence of functional generation to hardware wear is evaluated;Carry out actual use state test, including limit working condition test and fault injection test;Health degree modeling and grading, establish multidimensional comprehensive evaluation model.The application can overcome the traditional periodic maintenance mode through multidimensional dynamic modeling and predictive intervention mechanism, and can predict the failure window by fusing real-time environment sensing and hardware wear modeling, reduce the equipment operation failure rate, and realize preventive maintenance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electrical fault detection, in particular to a method and system for health degree evaluation of audio and video conference equipment. BACKGROUND

[0002] The core purpose of health degree evaluation of audio and video conference equipment is to systematically monitor and predict potential equipment failures to ensure key business continuity and user experience. By quantitatively analyzing equipment performance indicators, the risk of recording interruption or live accident caused by sudden failure can be greatly reduced, avoiding high emergency maintenance costs and content production losses. At the same time, based on the evaluation results, a predictive maintenance plan can be developed, which can significantly extend the service life of the equipment, optimize resource investment, ensure that the audio and video quality always meets industry standards, and ultimately support the reliability and professionalism of audio and video services.

[0003] In the prior art, the health degree evaluation of audio and video conference equipment relies on fixed detection standards, ignoring the equipment operation history and environmental dynamic influence, so the false alarm or missed detection rate will increase in high temperature season. On the other hand, the conventional solution is a passive response chain, that is, maintenance is carried out after failure, which causes an increase in downtime loss, a long single downtime cycle, and high labor input. The manual inspection of the entire equipment and the regular replacement of the equipment consume a large amount of human resources. There is a lack of efficient testing scheme for performance testing of the heat dissipation system and brightness testing process. SUMMARY

[0004] In view of the deficiencies in the prior art, the present application aims to provide a method and system for health degree evaluation of audio and video conference equipment to solve the problems raised in the background art. The present application significantly surpasses the traditional periodic maintenance mode through multi-dimensional dynamic modeling and predictive intervention mechanism, integrates real-time environmental sensing and hardware wear modeling, can predict the failure window, reduces the actual failure rate, and effectively shortens the average repair time. With the help of automatically increasing the weight of the heat dissipation performance and synchronously reducing the weight of the non-sensitive indicators, false judgment or missed detection in high temperature season can be avoided, and equipment batch downtime caused by heat dissipation failure can also be avoided, improving the utilization rate of maintenance resources. The performance of the heat dissipation system and the brightness consistency of the video equipment are tested, and the crosstalk problem of the equipment is also included in the evaluation system.

[0005] To achieve the above-mentioned purpose, the present application is realized by the following technical solution: a method for health degree evaluation of audio and video conference equipment, comprising the following steps:

[0006] S1, the basic state scanning and environment detection, calling the built-in diagnostic system of the device, collecting the self-check report, the self-check report covers data including power-on duration, restart times, firmware version, and performing electromagnetic interference test and power quality detection, using an infrared thermal imager to scan the surface temperature distribution of the device, marking the area with a temperature greater than 45℃ as a heat dissipation defect point, and testing the heat dissipation system of the device to test the heat dissipation system efficiency of the audio and video conference equipment;

[0007] S2, signal link integrity verification, connecting an oscilloscope to test the level stability, collecting synchronization signal offset state information;

[0008] S3, performing device performance standard test, including audio device, video device and network AV, the audio device test items include total harmonic distortion, noise and frequency response, the video device test items include color restoration error and brightness uniformity, and the network AV test items include code stream delay, and the inside of the test device detects the light brightness consistency of the video device through the brightness detection unit;

[0009] S4, evaluating the functional influence of hardware wear and tear, evaluating the hardware types including mechanical structure and power module, the power module performs capacitor bulge detection, and a pre-warning signal is triggered when the ESR value exceeds the nominal value by 20%, the mechanical structure detects the noise value of the power device, and a pre-warning signal is triggered when the noise value is greater than 45dB@1m;

[0010] S5, performing actual use state test, including extreme condition test and fault injection test, starting the to-be-tested audio and video conference equipment to run continuously for 72 hours, then performing stability test, simulating sudden peak load test, the fault injection includes simulating signal interruption and simulating network packet loss;

[0011] S6, health degree modeling and grading, establishing a multi-dimensional evaluation model, setting high-temperature season verification standards, and adjusting threshold values according to test items, the high-temperature season verification standards include: the weight response delay qualified threshold is ≤5 seconds, and the standard in other seasons is ≤2 seconds; the health degree correction error qualified threshold is +0.5 points; the fault prediction accuracy qualified threshold is ≥90%, and the standard in other seasons is ≥94.7%; using a spectrum analyzer to capture a crosstalk signal with a dynamic range of ≥80dB, and using a vector network analyzer to locate the PCB board level crosstalk path.

[0012] Further, step S1 builds a health degree benchmark through device self-check data collection and environmental parameter quantitative analysis. The following is performed after the device is powered on and stably operated for 30 minutes: the audio device detects the peak load trigger times, the power amplifier calibrates when the monthly overload is greater than or equal to 3 times, the camera / encoder checks the firmware version, the infrared thermal imager scans the surface temperature distribution of the device, the area with a temperature greater than 45°C is marked as a heat dissipation defect point, the humidity sensor is deployed in the device air inlet pipeline, and a warning is given when the relative humidity is greater than 70% for a long time.

[0013] The electromagnetic interference test and power quality detection include the following: In a standard electromagnetic shielding room, electromagnetic interference (EMI) tests are performed, a receiving antenna and a test receiver are used to measure the radiation disturbance and conducted disturbance generated by the device in the audio and video playing state, the radiation disturbance parameter is 30 MHz-6 GHz, the conducted disturbance is fed back to the power grid through the power line, the frequency is 150 kHz-30 MHz, and the compliance is evaluated by comparing with the standard limit value of CISPR 32.

[0014] Further, the power quality detection also includes using a power quality analyzer to access the device power supply loop, simulating power grid fluctuations and monitoring device operation stability, the power grid fluctuations include voltage sag, interruption, frequency deviation, while measuring the harmonic current and voltage fluctuation / flicker generated by the device itself during operation, the measurement standard is based on IEC 61000-3-2 standard, the process is completed under full load and typical working conditions of the device, and a test report is generated immediately after data recording.

[0015] Further, the signal link integrity verification process includes segmented signal quality quantitative analysis and redundant link stress testing. The audio device uses pink noise to detect full-band fluctuations, the video device measures brightness consistency by using a full white field test chart, and the LED screen center / edge difference is greater than 18% for calibration, then the HDMI link clock jitter measurement and SDI system three-level synchronization offset detection are performed.

[0016] The redundant link stress test includes the following: Set up a dual-link hot backup architecture, the main link is an optical fiber, the redundant link is a Cat6 network cable, inject peak load traffic: 4K HDR@60fps and 20-channel AES67 audio stream, manually disconnect the main link optical fiber interface, monitor the switching time, simulate 30% network packet loss + 50ms jitter, detect the FEC error correction recovery rate of the AV-over-IP system, and verify the frame loss switching performance without synchronization loading 120% bandwidth on the main and standby links.

[0017] Further, the specific process of performance benchmark test is as follows: a test platform is built in an ISO / IEC standard constant temperature and humidity laboratory, an audio and video signal source is connected to a device under test (DUT) through a standard cable, an output end is connected to a high-precision analysis instrument, the device is preheated to a stable working state and runs under a rated load, according to the environmental parameters collected in step S1, when voltage fluctuation > ± 8%, the device under test is disabled for full load test, and a derating mode is started, when humidity continues > 70% RH, the frequency of insulation resistance detection is increased;

[0018] A standard level sinusoidal wave signal is input to the audio device, and an audio analyzer is used to measure total harmonic distortion plus noise, signal-to-noise ratio, frequency response, channel separation, and output level / power.

[0019] A standard test card is input to the video device, and a video analyzer is used to measure resolution, color restoration accuracy, brightness / contrast range, gray scale linearity, signal jitter / timing error, and interface bandwidth.

[0020] Further, the process of evaluating the hardware wear degree health degree includes: using an LCR table to measure the capacitance / inductance drift and equivalent series resistance rise value of key components; using a power analyzer to record the power conversion efficiency decline and standby power consumption abnormal fluctuation, and comparing the factory baseline data; performing physical wear test 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 anomaly caused by oxidation and dust accumulation of the heat sink; performing high-low temperature cycling in a temperature and humidity test chamber, with a temperature range of -10℃ ↔ 85℃, 50 cycles; high temperature and high humidity storage, 40℃ / 93% RH, 720 hours, monitoring component solder joint micro-cracks, and testing the brittleness state of plastic parts through impact strength test, using an infrared thermal imager to detect component temperature distribution every 10 high-low temperature cycles, 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 automatically recovers, it is determined to be a minor defect; if the same fault occurs for more than three times during multiple cycles, it is determined to be an ordinary defect; if permanent hardware damage occurs during the cycle, it is determined to be a serious defect;

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

[0022] Further, in step S6, the health degree is modeled as:

[0023] Health index = (K1 × performance attenuation rate) × (K2 × environmental adaptation coefficient) × (K3 × aging risk value) × (K4 × high-low temperature cycle risk degree) × (K5 × crosstalk index)

[0024] Wherein, K1=0.4; K2=0.1; K3=0.15; K3=0.2; K3=0.15, the performance attenuation rate is the benchmark test evaluation result in step S3, the environmental adaptation coefficient is the environmental data evaluation result in step S1, the aging risk value is the wear evaluation result in step S4, the high-low temperature cycle risk degree is the high-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 evaluation method, the evaluation system comprises a data acquisition layer, an analysis control layer, an execution response layer, a visual interaction layer, a cloud management platform and a QFD fusion architecture, the data acquisition layer comprises an environmental monitoring terminal and a device probe; the analysis control layer is provided 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 visual interaction layer is used for outputting a three-dimensional health thermal map and performing alarm pushing based on a mobile terminal; the cloud management platform has a digital twin archive, a supply chain cooperation interface and an energy efficiency optimization hub, and the QFD fusion architecture comprises a three-level conversion model, which comprises user demand conversion to technical characteristics, technical characteristics conversion to evaluation indexes and evaluation index conversion to operation and maintenance actions.

[0026] Further, the data acquisition layer performs real-time positioning of cabinet hot spots through the environmental monitoring terminal, and sends an alarm signal when the temperature is greater than 45 DEG C, and performs harmonic interference source tracking through power quality analysis, the device probe performs real-time power module thermal collapse early warning through the capacitor ESR online monitor, and automatically triggers power-off when the temperature is greater than 105 DEG C; the QFD fusion architecture is used for the demand weight dynamic allocation process in summer, including: the user demand includes two aspects of device long-life operation and energy efficient utilization, wherein for the demand of device long-life operation, the conventional weight is 20%, the summer weight is additionally increased to 35%, and the technical characteristic is strengthened to capacitor ESR monitoring frequency x 3; for the demand of device energy efficient utilization, the conventional weight is 15%, the summer weight is additionally increased to 5%, and the technical characteristic is strengthened to remove the power limitation of the cooling fan.

[0027] Further, the analysis control layer is provided with a dynamic weight distributor, which automatically increases the weight of the heat dissipation index according to the seasonal temperature, the heat dissipation weight reference value is 20% when the environmental temperature is T≤25 DEG C, the heat dissipation weight reference value is 25% when the environmental temperature is 26 DEG C≤T≤30 DEG C, and the heat dissipation weight reference value is 35% when the environmental temperature is T≥31 DEG C.

[0028] Temperature acceleration aging compensation formula:

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

[0030] Health dynamic correction model:

[0031]

[0032] The alarm pushing adopts a hierarchical notification strategy, and when the health index is less than 75, a component replacement list is pushed to the mobile phone of the operation and maintenance supervisor;

[0033] The environment collection and device scanning are both AHP-AI collaborative perception and are completed synchronously, and specifically include the following contents: through AI technology deep learning prediction, the remaining life is predicted based on LSTM, and reinforcement learning optimization is carried out, so that the best maintenance strategy is dynamically generated; in combination with AHP quantitative decision, the weight scientific distribution in the evaluation method is realized, and a conflict resolution mechanism is provided: when the heat dissipation demand (weight 0.35) and the quiet demand (weight 0.15) conflict, the variable frequency heat dissipation scheme is automatically selected through AHP quantitative decision.

[0034] The beneficial effects of the present application:

[0035] 1. The method based on the health evaluation of audio and video conference equipment significantly surpasses the traditional periodic maintenance mode through multi-dimensional dynamic modeling and predictive intervention mechanism, fuses real-time environment sensing and hardware wear modeling, can predict the fault window, so that the actual failure rate is reduced, and the average repair time can be effectively shortened.

[0036] 2. The present application dynamically adjusts the health weight, synchronously reduces the weight of non-sensitive indicators by automatically improving the heat dissipation performance weight, avoids misjudgment or missed detection in high temperature season, and also avoids batch downtime of equipment caused by heat dissipation failure, improves the utilization rate of maintenance resources. At the same time, the performance of the heat dissipation system can be tested and the brightness consistency of the video equipment can be tested.

[0037] 3. The redundant link pressure test of the present application exposes high-temperature chain failure, locates the fault source by analysis, so as to guarantee the reliability of critical tasks. Capacitor thermal collapse, power fluctuation and video flash can be tracked in the whole link. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 The flowchart of the method based on the health evaluation of audio and video conference equipment of the present application;

[0039] Figure 2 The system structure block diagram of the method based on the health evaluation of audio and video conference equipment of the present application;

[0040] Figure 3 The test equipment structure diagram used in the evaluation system of the present application;

[0041] Figure 4 The structure diagram of the side edge closed unit part of the present application;

[0042] Figure 5 Structure diagram of the top end closing unit part of the application;

[0043] Figure 6 Structure diagram of the air flow regulation system of the application;

[0044] Figure 7 Structure diagram of the brightness monitoring unit of the application;

[0045] Figure 8 Structure diagram of the end of the top end closing plate;

[0046] In the figure: 1, test table; 2, test box; 3, opening; 4, air flow regulation system; 5, heat dissipation pipeline; 6, second electromagnetic valve; 7, side edge closing unit; 8, top end closing unit; 9, side edge guide sleeve; 10, first electric telescopic rod; 11, side edge closing plate; 12, first rubber strip; 13, guide column; 14, top end guide sleeve; 15, second electric telescopic rod; 16, interlayer; 17, top end closing plate; 18, light transmission plate; 19, second rubber strip; 20, brightness monitoring unit; 21, cover plate; 22, air inlet pipeline; 23, first electromagnetic valve; 24, rotating shaft; 25, light inlet; 26, light inlet channel; 27, photosensitive module; 28, sliding groove; 29, sliding block. DETAILED DESCRIPTION

[0047] In order to make the technical means, creative features, purposes and effects achieved by the application easy to understand, the application will be further described below in combination with specific embodiments.

[0048] Please refer to Figures 1 to 8 The application provides the following technical scheme: a method for evaluating the health degree of an audio and video conference equipment, comprising the following steps:

[0049] S1, basic state scanning and environment detection, calling a built-in diagnosis system of the equipment, collecting a self-checking report, the self-checking report covering data including power-on duration, restart times, firmware version, and performing electromagnetic interference test and power quality detection;

[0050] Through device self-checking data acquisition and environment parameter quantitative analysis, a health degree benchmark is constructed, and after the equipment is powered on and stably operated for 30 minutes, the following contents are executed: audio equipment detects the peak load triggering times, the power amplifier calibrates when the monthly overload is greater than or equal to 3 times, the camera / encoder checks the firmware version, the infrared thermal imager scans the surface temperature distribution of the equipment, the area with a temperature greater than 45℃ is marked as a heat dissipation defect point, the humidity sensor is deployed in the equipment air inlet pipeline 22, and a warning is given when the relative humidity is greater than 70% for a long time;

[0051] The electromagnetic interference test and power quality detection includes the following: electromagnetic interference (EMI) test in a standard electromagnetic shielding room, measuring the radiated disturbance and conducted disturbance generated by the device in the state of playing audio and video using a receiving antenna and a test receiver, the radiated disturbance parameter is 30MHz-6GHz, the conducted disturbance is fed back to the power grid through the power line, the frequency is 150kHz-30MHz, and the compliance is evaluated by comparing with the standard limit value of CISPR 32.

[0052] The power quality detection includes the following: connecting the power quality analyzer to the power supply circuit of the device, simulating power grid fluctuation and monitoring the stability of the device, the power grid fluctuation includes voltage sag, interruption and frequency deviation, and the harmonic current and voltage fluctuation / flicker generated by the device itself during operation are measured, the measurement standard is based on IEC 61000-3-2 standard, and the process is completed under full load and typical working condition of the device, and the test report is generated immediately after data recording.

[0053] S2, signal link integrity verification, connecting an oscilloscope to test the level stability and collect synchronous signal offset state information.

[0054] The signal link integrity verification process includes segmented signal quality quantitative analysis and redundant link stress test, audio equipment uses pink noise signal to detect full-band fluctuation, video equipment measures brightness consistency by full white field test chart, LED screen center / edge difference>18% is calibrated, then HDMI link clock jitter measurement and SDI system three-level synchronous offset detection are carried out;

[0055] The redundant link stress test includes the following: setting double-link hot backup architecture, main link: optical fiber; redundant link: Cat6 network cable; injecting peak load flow: 4K HDR@60fps and 20-channel AES67 audio stream, manually disconnecting the main link optical fiber interface, monitoring the switching time, simulating 30% network packet loss+50ms jitter, detecting the FEC error correction recovery rate of AV-over-IP system, synchronously loading 120% bandwidth on the main and standby links, and verifying the frame loss-free switching performance.

[0056] S3, performing device performance standard test, 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 restoration error and brightness uniformity, and the network AV test items include code stream delay.

[0057] The specific process of performance benchmark test is as follows: building a test platform in a constant temperature and humidity laboratory meeting ISO / IEC standard, connecting the audio and video signal source to the device under test (DUT) through standard cable, connecting the output end to high-precision analysis instrument, preheating the device to stable working state and running under rated load.

[0058] The audio equipment is inputted with standard level sinusoidal wave signal, and the total harmonic distortion plus noise, signal-to-noise ratio, frequency response, channel separation, output level / power are measured by using an audio analyzer;

[0059] The video equipment is inputted with standard test chart, and the resolution, color restoration accuracy, brightness / contrast range, gray scale linearity, signal jitter / timing error, interface bandwidth are measured by using a video analyzer.

[0060] S4, the functional influence of hardware wear and tear is evaluated, the hardware types include mechanical structure and power module, the power module performs capacitor bulge detection, an ESR value exceeding 20% of the nominal value triggers a warning signal, the mechanical structure performs power equipment noise value detection, a noise value greater than 45dB@1m triggers a warning signal;

[0061] 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; recording the power conversion efficiency decline and standby power consumption abnormal fluctuation by using a power analyzer, and comparing the factory baseline data; performing physical wear test on the optical drive, fan and plug-in interface, and motor bearing noise spectrum analysis; using an infrared thermal imager to scan the temperature difference anomaly caused by oxidation and dust accumulation of the heat sink; performing high and low temperature cycle in a temperature and humidity test chamber, temperature range: -10℃ ↔ 85℃, 50 cycles; high temperature and high humidity storage, 40℃ / 93%RH, 720 hours, monitoring component solder joint micro-cracks, and testing the brittleness of plastic parts by impact strength;

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

[0063] S5, actual use state test is performed, including extreme condition test and fault injection test, after starting the to-be-tested audio and video conference equipment to run continuously for 72 hours, stability test is performed, peak load test is simulated, the fault injection includes simulated signal interruption and simulated network packet loss;

[0064] According to the device application environment, typical fault scenarios are designed, including signal interruption, protocol error, power supply fluctuation, and data packet loss, and stress load is designed, including high concurrency connection, extreme code stream, and continuous full load operation. Test tools and monitoring systems are prepared, preset faults are triggered artificially, device self-recovery capability and abnormal table are observed, and the preset faults include unplugging the cable, injecting electromagnetic interference, and simulating codec errors.

[0065] Superimpose multiple loads, run continuously until system crashes or performance threshold, record response delay, frame rate, resource occupation and other data, locate fault root cause through log and monitoring data, output test report and propose improvement measures.

[0066] Specifically including: inject 4K 120Hz HDR video stream + 20-way lossless audio, detect after 72 hours; Voltage transient: ±25V impact of mains; Mechanical vibration: 6Hz / 0.5mm analog resonance; Inject 50ms jitter + 30% packet loss, detect FEC error correction recovery capability; Randomly cut off the main signal link, verify the redundancy switching ≤0.5 seconds.

[0067] S6, health modeling and grading, establish a multi-dimensional evaluation model, set high temperature season verification standards, and adjust the threshold according to the test project, and the high temperature season verification standard includes: the weight response delay qualified threshold is ≤5 seconds, and the standard in other seasons is ≤2 seconds; The health correction error qualified threshold is +0.5 points; The fault prediction accuracy qualified threshold is ≥90%, and the standard in other seasons is ≥94.7%; Use a spectrum analyzer to capture a crosstalk signal 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 modeling is:

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

[0070] Wherein, K1=0.4; K2=0.1; K3=0.15; K3=0.2; K3=0.15, the performance attenuation rate is the evaluation result of the reference test in step S3, the environmental adaptation coefficient is the evaluation result of the environmental data 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] The embodiment also provides an evaluation system used in the above evaluation method, the evaluation system comprising a data acquisition layer, an analysis control layer, an execution response layer, a visual interaction layer, a cloud management platform and a QFD fusion architecture, the data acquisition layer comprising an environmental monitoring terminal and a device probe; the analysis control layer is equipped with an intelligent diagnosis engine and a predictive maintenance; the execution response layer is provided with an automatic switching system, a robot operation and maintenance unit and a dynamic de-rating controller; the visual interaction layer is used to output a three-dimensional health heat map, and alarm pushing is carried out based on a mobile terminal; the cloud management platform has a digital twin archive library and a supply chain cooperation interface, and is provided with an energy efficiency optimization hub.

[0072] In the embodiment, the data acquisition layer performs real-time positioning of cabinet hot spots through the environmental monitoring terminal, and sends an alarm signal when the temperature is greater than 45 DEG C. The harmonic interference source tracking is performed through power quality analysis. The device probe performs real-time power module thermal collapse warning through the capacitor ESR online monitor, and automatically triggers power-off when the temperature is greater than 105 DEG C. The analysis control layer is provided with a dynamic weight distributor, which automatically increases the heat dissipation index weight according to the seasonal temperature. The alarm push adopts a hierarchical notification strategy. When the health index is less than 75 points, the component replacement list is pushed to the operation and maintenance supervisor's mobile phone.

[0073] The embodiment also provides a test device for the above-mentioned evaluation method and system, which is used for testing the heat dissipation effect of the built-in heat dissipation system during the operation of the audio and video conference equipment, and detecting the brightness consistency provided on the surface of the video equipment. The device comprises a test table 1, a test box 2, an air flow control system 4, a closed unit and a brightness detection unit, wherein the closed unit comprises a side edge closed unit 7 and a top end closed unit 8, the test box 2 is installed on the surface of the test table 1, an opening 3 is formed at one end of the test box 2, the top of the opening 3 is movably connected with a cover plate 21 through a rotating shaft 24, and the surface of the cover plate 21 and the other end of the test box 2 are provided with the air flow control system 4.

[0074] In the embodiment, when the heat dissipation system efficiency of the audio and video conference equipment to be tested is tested, the equipment to be tested is directly placed in the test box 2, the cover plate 21 at the opening 3 position is closed, and the top end closed unit 8 and the side edge closed units 7 on both sides are pushed until the surface of the equipment to be tested is pressed and fitted, so that the blocking effect of the two end regions of the equipment to be tested is realized. When the equipment to be tested is placed in the test box 2, the air inlet region and the air outlet region of the heat dissipation system in the equipment are blocked by the closed units, and then the cover plate 21 is closed to realize the test purpose of the heat dissipation system in cooperation with the subsequent air flow control unit.

[0075] In the test process, the top end closed unit 8 and the side edge closed unit 7 are used to completely separate the air inlet region and the air outlet region, the side edge closed unit 7 comprises a side edge guide sleeve 9, a first electric telescopic rod 10 and a side edge closed plate 11, the first electric telescopic rod 10 is screwed on the surface of the side edge guide sleeve 9, the side edge closed plate 11 is welded at the tail end of the first electric telescopic rod 10, and the first rubber strip 12 is attached to the tail end of the side edge closed plate 11. The top end closed unit 8 comprises a top end guide sleeve 14, a second electric telescopic rod 15 and a top end closed plate 17, the top end guide sleeve 14 is welded at the top end of the test box 2, the side edge guide sleeve 9 is welded at both sides of the test box 2, the second electric telescopic rod 15 is installed on the surface of the top end guide sleeve 14, the top end closed plate 17 is welded at the edge of the second electric telescopic rod 15, and the second rubber strip 19 is attached to the tail end of the top end closed plate 17.

[0076] By starting the first electric telescopic rod 10 and the second electric telescopic rod 15 respectively, the top end closing plate 17 and the side edge closing plate 11 can be moved at the same time, and the first rubber strip 12 is pressed on both sides of the device to be tested, and the second rubber strip 19 is pressed on the top end of the device to be tested, and the surfaces of the side edge closing plate 11 and the top end closing plate 17 are matched, at this time, the middle outer side area of the entire device to be tested can be directly blocked from the side, avoiding the airflow in the test box 2 flowing along the surface of the device to be tested, thereby reducing the interference of the airflow in the test box 2 on the heat dissipation performance of the entire device when limiting the heat dissipation system.

[0077] When the heat dissipation performance is tested, the airflow regulating system 4 is used, which includes the heat dissipation pipeline 5, the second electromagnetic valve 6, the air inlet pipeline 22 and the first electromagnetic valve 23. The heat dissipation pipeline 5 is welded at one end of the test box 2, and the second electromagnetic valve 6 is installed on the surface of the heat dissipation pipeline 5. The air inlet pipeline 22 is welded on the surface of the cover plate 21, and the first electromagnetic valve 23 is installed on the surface of the air inlet pipeline 22. When the first electromagnetic valve 23 and the second electromagnetic valve 6 are controlled to be closed, the external airflow can be blocked from entering the inside of the test box 2. At this time, after the device to be tested is started, the heat dissipation system cannot communicate with the external space, and the space in the test box 2 is blocked by the above-mentioned closing unit. Therefore, after the entire device is started, the heat dissipation system cannot drive the airflow to flow, so that the heat dissipation system is in an approximately invalid state. At this time, after the device is controlled to run for 1 hour, 2 hours or 5 hours, the surface temperature of the device is detected by means of the infrared thermal imager, then the device is turned off for 24 hours, and then the corresponding electromagnetic valves on the air inlet pipeline 22 and the heat dissipation pipeline 5 are opened, so that the airflow in the test box 2 can flow, and the temperature test process of the device is repeated again, so that the temperature data of the device in the normal running state of the heat dissipation system can be obtained.

[0078] The 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 one side of the bottom of the top end closing unit 8. The brightness monitoring unit 20 includes the light transmission plate 18, the light inlet 25, the light inlet channel 26 and the photosensitive module 27. The light transmission plate 18 is installed on the bottom of the top end closing plate 17. The one side of the top end closing plate 17 is welded with the sliding groove 28. The sliding block 29 is embedded in the inside of the sliding groove 28, and the light inlet 25 is installed on the inside of the sliding block 29. The rear end of the light inlet 25 is provided with the light inlet channel 26, and the photosensitive module 27 is installed in the inside of the light inlet channel 26.

[0079] When testing, the video device to be tested is directly placed to one side of the internal closed unit of the test box 2, and the display screen is abutted against the surface of the top end closed plate 17, then the first electric telescopic rod 10 in the side edge closed unit 7 is controlled to move, and the two side edge closed plates 11 are moved 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 move in opposite forms, that is, the two first electric telescopic rods 10 respectively move in contraction and expansion, that is, the clamped brightness monitoring unit 20 moves along the internal sliding groove 28, and the top end closed plate 17 gradually moves downwards, that is, the corresponding area of the light inlet 25 and the display screen surface of the video device to be tested is changed, since the range of the light inlet 25 is always fixed, after the video device to be tested is turned on the full white field test picture, the light range of the light inlet 25 corresponding to the video device to be tested in the horizontal direction is changed by the two side edge closed plates 11, then the lifting movement of the top end closed plate 17 is controlled, the light range of the light inlet 25 corresponding to the video device to be tested in the vertical direction is changed, that is, the brightness data of different ranges inside the video device to be tested can be comprehensively obtained, and the deviation of the brightness consistency of the device to be tested can be judged according to the collected data.

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

[0081] In addition, it should be understood that although the present application is described in the specification, each embodiment only contains one independent technical solution, and the description manner of the specification is only for the sake of clarity, and those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be combined to form other embodiments which can be understood by those skilled in the art.

Claims

1. A method for audio-video conference equipment health assessment, the method comprising: Comprise the following steps: S1, the basic state scanning and environment detection, call the built-in diagnostic system of equipment, collect the self-check report, the self-check report covers data including power-on duration, restart times, firmware version, and carry out electromagnetic interference test and power quality detection, use infrared thermal imager to scan the surface temperature distribution of equipment, the area with temperature greater than 45 DEG C is marked as heat dissipation defect point, the heat dissipation system of equipment is tested through heat dissipation system test equipment to the heat dissipation system efficiency of audio and video conference equipment; S2, signal link integrity verification, connect oscilloscope to test the level stability, collect synchronous signal offset state information; S3, carry out equipment performance standard test, including audio equipment, video equipment and network AV, the audio equipment test project includes total harmonic distortion, noise and frequency response, the video equipment test project includes color restoration error and brightness uniformity, the network AV test project includes code stream delay, the inside of test equipment is detected by brightness detection unit to the light brightness consistency of video equipment; S4, evaluate the influence of functional generation on hardware wear and tear, evaluate the hardware type including mechanical structure and power module, the power module carries out capacitor bulge detection, ESR value exceeds 20% of the nominal value and triggers a warning signal, the noise value of the mechanical structure is detected, the noise value is greater than 45dB@1m and triggers a warning signal, and high-low temperature cycle test is carried out; S5, actual use state test, including limit condition test and fault injection test, after starting the audio and video conference equipment to be tested to run continuously for 72 hours, stability test is carried out, simulation peak load test, the fault injection includes simulation signal interruption and simulation network packet loss; S6, health degree modeling and grading, establish a multidimensional evaluation model, set high temperature season verification standard, and adjust threshold value according to test project, the high temperature season verification standard includes: the weight response delay qualified threshold is ≤5 seconds, and the standard of other seasons is ≤2 seconds;Health degree correction error qualified threshold +0.5 points;The fault prediction accuracy qualified threshold is ≥90%, and the standard of other seasons is ≥94.7%;Use spectrum analyzer to capture ≥80dB dynamic range crosstalk signal, and use vector network analyzer to locate PCB board level crosstalk path.

2. The method for evaluating the health degree of audio-video conference equipment based on the audio-video conference equipment according to claim 1, characterized in that, Step S1 constructs health degree benchmark through device self-check data acquisition and environmental parameter quantitative analysis, after the stable operation of the device is powered on for 30 minutes, the following contents are executed: audio equipment detects peak load trigger times, and the power amplifier monthly overload is greater than or equal to 3 times for calibration; The electromagnetic interference test and power quality detection include the following contents: in the standard electromagnetic shielding room, electromagnetic interference (EMI) test is carried out, using receiving antenna and test receiver to measure the radiation disturbance and conducted disturbance generated by the equipment in the state of playing audio and video, the radiation disturbance parameter is 30MHz-6GHz, the conducted disturbance is fed back to the power grid through the power line, and the frequency is 150kHz-30MHz.

3. The method for evaluating the health degree of audio-video conference equipment based on the audio-video conference equipment according to claim 2, characterized in that: The power quality detection comprises connecting a power quality analyzer to a power supply circuit of the equipment, simulating power grid fluctuation and monitoring stability of equipment operation, the power grid fluctuation comprising voltage sag, interruption, frequency deviation, while measuring harmonic current and voltage fluctuation / flicker generated by the equipment during operation, the measurement standard being in accordance with IEC 61000-3-2 standard, the process being completed under full load and typical working conditions of the equipment, and a test report being generated immediately after data recording.

4. The method for evaluating the health degree of audio-video conference equipment based on the audio-video conference equipment according to claim 1, characterized in that: The signal link integrity verification process comprises segmented signal quality quantitative analysis and redundant link stress testing, audio equipment using pink noise signal to detect full-band fluctuation, video equipment measuring brightness consistency by full white field test chart, LED screen center / edge difference > 18% for calibration, then HDMI link clock jitter measurement and SDI system three-level synchronous offset detection.

5. The method for evaluating the health degree of audio-video conference equipment based on the audio-video conference equipment according to claim 1, characterized in that, The specific process of the performance benchmark test comprises the following steps: building a test platform in a constant temperature and humidity laboratory in accordance with ISO / IEC standard, connecting an audio and video signal source to the DUT (device under test) through a standard cable, connecting the output end to a high-precision analyzer, preheating the equipment to a stable working state and operating under rated load, according to the environmental parameters collected in step S1, if voltage fluctuation > ± 8%, disabling full load test for the equipment under test, starting the derating mode, and if humidity > 70% RH, increasing the insulation resistance detection frequency.

6. The method for evaluating the health degree of audio-video conference equipment based on the audio-video conference equipment according to claim 1, characterized in that, The process of evaluating the hardware wear degree health degree includes: using the LCR table to measure the capacitance / inductance drift of key components, the equivalent series resistance rise value; using the infrared thermal imager to scan the temperature difference anomaly caused by the oxidation and dust accumulation of the radiator; performing high-low temperature cycle in the temperature and humidity test box, temperature range: 50 cycles; high temperature and high humidity storage, 40℃ / 93%RH, 720 hours, monitoring component solder micro-cracks, and testing the brittleness state of plastic parts by impact strength, using the infrared thermal imager to detect the temperature distribution of components every 10 high-low temperature cycles, 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 automatically recovers, it is determined to be a minor defect; if the same fault occurs for more than three times during multiple cycles, it is determined to be an ordinary defect; if permanent hardware damage occurs during the cycle, it is determined to be a serious defect.

7. The method of claim 6, wherein the method further comprises: In step S6, the health degree is modeled as: Health index = (K1 x performance attenuation rate) x (K2 x environmental adaptation coefficient) x (K3 x aging risk value) x (K4 x high-low temperature cycle risk degree) x (K5 x crosstalk index) Wherein, K1 = 0.4; K2 = 0.1; K3 = 0.15; K4 = 0.2; K5 = 0.15, the performance attenuation rate is the benchmark test evaluation result in step S3, the environmental adaptation coefficient is the environmental data evaluation result in step S1, the aging risk value is the wear evaluation result in step S4, the high-low temperature cycle risk degree is the high-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 of claim 1, characterized by: The evaluation system comprises a data collection layer, an analysis control layer, an execution response layer, a visual interaction layer, a cloud management platform and a QFD fusion architecture, the data collection layer comprising an environmental monitoring terminal and a device probe; the analysis control layer being equipped with an intelligent diagnosis engine and predictive maintenance; the execution response layer being provided with an automatic switching system, a robot operation unit and a dynamic derating controller; the visual interaction layer being used for outputting a three-dimensional health heat map and performing alarm pushing based on a mobile terminal; the cloud management platform having a digital twin archive library and a supply chain collaboration interface established therein, and an energy efficiency optimization hub being provided; and the QFD fusion architecture comprising a three-level conversion model, the three-level conversion model comprising user demand to technical property conversion, technical property to evaluation index conversion, and evaluation index to operation action conversion.

9. The evaluation system of claim 8, characterized in that: The data acquisition layer performs cabinet hotspot real-time positioning through the environmental monitoring terminal, and sends an alarm signal when the temperature is greater than 45 DEG C; harmonic interference source tracking is performed through power quality analysis; the device probe performs power module thermal collapse early warning in real time through the capacitor ESR online monitor, and automatically triggers power-off when the temperature is greater than 105 DEG C; The QFD fusion architecture is used for the dynamic allocation process of demand weight in summer, including two aspects of device long-life operation and energy efficient utilization. For the demand of device long-life operation, the conventional weight is 20%, the summer weight is additionally increased to 35%, and the technical property is strengthened to three times the monitoring frequency of capacitor ESR. For the demand of device energy efficient utilization, the conventional weight is 15%, the summer weight is additionally increased to 5%, and the technical property is strengthened to remove the power limitation of the cooling fan.

10. The evaluation system of claim 8, wherein: The analysis control layer is provided with a dynamic weight allocator, which automatically increases the weight of the cooling index according to the seasonal temperature. When the environmental temperature is T≤25 DEG C, the cooling weight reference value is 20%; when the environmental temperature is 26 DEG C≤T≤30 DEG C, the cooling weight reference value is 25%; and when the environmental temperature is T≥31 DEG C, the cooling weight reference value is 35%. Temperature acceleration aging compensation formula: Lifetime attenuation coefficient = e 0.08×(T-25) (T≥25 °C) Health modeling is: health index = (K1 x performance attenuation rate) x (K2 x environmental adaptation coefficient) x (K3 x aging risk value) x (K4 x high-low temperature cycle risk degree) x (K5 x crosstalk index) Wherein, K1 = 0.4; K2 = 0.1; K3 = 0.15; K4 = 0.2; K5 = 0.15, the performance attenuation rate is the evaluation result of the baseline test in step S3, the environmental adaptation coefficient is the evaluation result of the environmental data in step S1, the aging risk value is the wear evaluation result in step S4, the high-low temperature cycle risk degree is the high-low temperature cycle test result in S4, and the crosstalk index is the detection result of the crosstalk signal in step S6. Health dynamic correction model: The alarm push adopts a hierarchical notification strategy, and the health correction value is less than 75 points. The component replacement list is pushed to the operation supervisor's mobile phone. Environmental collection and device scanning are both AHP-AI collaborative sensing and synchronization, which specifically includes the following contents: through AI technology deep learning prediction, based on LSTM to predict the remaining life, and reinforcement learning optimization, realize dynamic generation of the best maintenance strategy; AHP quantitative decision is made to realize scientific allocation of weight in the evaluation method, and a conflict resolution mechanism is provided: when the cooling demand and the quiet demand conflict, the AHP quantitative decision is automatically selected to select the variable frequency cooling scheme.

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