Online aging method and system for projector

Abstract

The invention relates to the technical field of on-line aging, in particular to an on-line aging method and system for a projector, and the method comprises the following steps: dividing temperature sections through an aging chamber, carrying out the aging of the projector, collecting temperature change data, calculating the temperature change rate, response delay and phase difference fluctuation, and generating a thermal response data set; temperature response delay and phase difference abrupt change are identified, a thermal response index is calculated, aging is suspended and temperature control is adjusted when a threshold value is not reached, temperature zone aging is switched, aging is terminated when response is weak, a temperature zone record set is generated, and a change interval is counted to generate an aging result. According to the method, the adaptability is dynamically judged by continuously collecting temperature data, calculating thermal response parameters and generating response indexes through normalization, aging is suspended and temperature adjustment intervention is carried out when the indexes are low and continuous, and when the indexes are met, temperature zones are switched, response trends and aging tracks are archived and converted into thermal response for aging, so that the sensing and intervention precision is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of online aging, in particular to an online aging method and system for a projector. BACKGROUND

[0002] The technical field of online aging includes the control test of products in the powered-on working state for long-time continuous operation to verify their performance stability and life reliability. The core content evaluates the possible electrical faults, optical attenuation, thermal stability changes and other problems in long-term work by simulating the continuous operation state of the device in the current use process. Overall, the online aging technology covers multiple aspects such as aging control strategy design, power on-off management, working state monitoring, data recording and analysis, and is widely used in the quality control process of lighting devices, display devices, electronic terminals and other products before leaving the factory.

[0003] Among them, the online aging method and system for a projector refers to a technical solution for aging control of the projector whole machine or its key components in the working state by setting the aging time, adjusting the operation mode, controlling the light source on-off period. Mainly aiming at the optical component temperature rise change of the projector, the continuous operation load of the light source, the stability of the heat dissipation path, etc., the aging process control is executed by setting the aging parameters, periodically adjusting the image projection content, collecting temperature and brightness data and judging the device running state. The method and system generally use a timer to set the control period, a brightness sensor to collect light intensity changes, and a thermocouple to monitor component temperature changes, and control the power on-off and image content switching through a logic judgment process, so as to realize long-term evaluation of the core performance of the device in the powered-on operation state.

[0004] The existing technology mainly relies on a timer to set the aging period, passively records the running data through a brightness sensor and a thermocouple, and then executes power on-off and content switching in combination with logic judgment. It is difficult to realize real-time perception of the thermal response characteristics and aging sensitive areas of the device in operation. Since aging control is only based on fixed periods, it cannot automatically adjust the rhythm according to temperature change trends, and it is easy to cause the device to continue aging when it is in a stable state of thermal response for a long time, resulting in waste of power resources and prolongation of test time. At the same time, the existing technology has a single dimension of temperature response measurement indicators, lacks dynamic capture capability for response delay and phase difference changes, and is difficult to fully reflect the response quality of the device in different thermal environments. Taking a projector as an example, the light source and optical devices may exhibit different thermal coupling behaviors in a certain temperature range. The existing mode cannot identify these subtle changes in different zones, making it difficult to expose key fault points in time. The aging results are mostly presented in discrete data, lacking a section archiving and trend modeling mechanism, which is not conducive to subsequent product performance prediction and quality traceability, and limits the practical application depth of aging test in engineering decision-making. SUMMARY

[0005] To solve the technical problems existing in the prior art, the embodiment of the present application provides an online aging method and system of a projector. The technical solution is as follows:

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme, an online aging method of a projector, comprising the following steps:

[0007] S1: aging the projector by dividing temperature sections through an aging chamber, continuously collecting temperature change data, and calculating temperature change rate, temperature response delay time and temperature phase difference fluctuation to generate a thermal response data set;

[0008] S2: based on the thermal response data set, identifying the number of continuous mutations of temperature response delay and temperature phase difference in the temperature section, calculating the thermal response index of the current temperature section by normalization, and generating a section thermal response index;

[0009] S3: based on the section thermal response index, when the thermal response index does not reach the thermal response threshold and lasts for multiple periods, suspending aging, calculating the temperature control adjustment output by a PID control algorithm and generating a temperature zone adjustment data set;

[0010] S4: based on the temperature zone adjustment data set, obtaining temperature response delay and thermal response index, when the temperature response delay is met, switching to the next temperature section aging operation, when the thermal response index of multiple temperature zones is continuously weakly responsive, terminating aging, and generating a temperature zone record set;

[0011] S5: based on the temperature zone record set and the thermal response data set, constructing a response trend, an aging time adjustment trajectory archiving item under each temperature section, and generating a projector aging result by statistical thermal response index change interval.

[0012] As a further scheme of the present application, the thermal response data set includes temperature change rate, temperature response delay time and temperature phase difference fluctuation, the section thermal response index specifically refers to the normalized value of the number of continuous mutations of temperature response delay and the number of continuous mutations of temperature phase difference, the temperature zone adjustment data set includes temperature control adjustment output, temperature adjustment amount and fan heat dissipation adjustment amount, the temperature zone record set specifically refers to temperature response delay value, thermal response index interval and temperature section number, and the projector aging result includes response trend change range, aging time adjustment trajectory and thermal response index change interval.

[0013] As a further scheme of the present application, the step of S1 is specifically:

[0014] S101: By dividing a plurality of temperature sections through the aging chamber, the projector to be tested is subjected to continuous heating and cooling operations, temperature change values fed back in real time by temperature sensors are collected during the aging process, temperature change amplitudes between adjacent time points are calculated, temperature change rates are analyzed in combination with sampling intervals, and temperature change rate values are obtained;

[0015] S102: Based on the temperature change rate value, the time difference between the initial response point and the target temperature reaching point of each temperature rise or fall section in the temperature time sequence data is called, the response delay interval is extracted and summarized section by section, the delay interval under a plurality of sections is averaged, and a temperature response delay time is obtained.

[0016] S103: According to the temperature response delay time, after dividing a plurality of temperature sections, the vertex and low point change value in the temperature fluctuation period in the section are extracted, the offset time difference of the change point to the average fluctuation period is calculated and counted, and a thermal response data set is generated.

[0017] As a further scheme of the present application, the step S2 is specifically:

[0018] S201: Based on the thermal response data set, the corresponding temperature response delay time sequence in each temperature section is identified, and the response delay time point is screened in combination with the corresponding environmental temperature change curve to determine whether it constitutes an abnormal response, the number of abnormal points in the section is counted, and a temperature response delay abnormality value is generated.

[0019] S202: According to the temperature response delay abnormality value, the corresponding temperature phase difference sequence in the same section is extracted, the phase difference value change amplitude of each adjacent sampling period is compared, it is judged whether it exceeds the phase difference mutation threshold, the number of continuous mutations is counted and arranged, and a mutation response feature quantity set is obtained.

[0020] S203: Each group of values in the mutation response feature quantity set is called, a plurality of feature quantities are normalized, normalized index values of a plurality of temperature sections are respectively obtained, a combined response score is calculated, and a section thermal response index is generated.

[0021] The phase difference mutation threshold is set in the stable fluctuation interval after eliminating the upper and lower extreme values by performing full-cycle statistical analysis on the phase difference sequence of the temperature response curve under a plurality of temperature sections, calculating the phase difference change amplitude distribution between adjacent time points.

[0022] As a further scheme of the present application, the step S3 is specifically:

[0023] S301: Based on the section thermal response index, it is judged whether the index value in the sampling period reaches the thermal response threshold, the number of continuous periods not reaching the threshold is accumulated, the current period state is recorded as a pause state, and a pause period identification sequence is generated.

[0024] S302: According to the pause period identification sequence, the temperature setting value, the current temperature value and the error change rate data in the same period are extracted, which are substituted into the proportional term, the integral term and the differential term, and the output adjustment coefficient is calculated according to the PID control algorithm, and then the adjustment execution power is converted to obtain the temperature control adjustment output coefficient set;

[0025] S303: The temperature control adjustment output coefficient set is called, combined with the temperature control execution device state under the corresponding time axis, the heating element and the fan are controlled in time output, and the execution parameters, the control target value and the corresponding execution state data in multiple output periods are recorded synchronously to generate the temperature zone adjustment data set.

[0026] As a further scheme of the present application, the heat response threshold is set by statistically analyzing the heat response index sequence of all sections, extracting the heat response index distribution of each type of equipment in the continuous normal response period, eliminating the extreme response value, calculating the average value of the response index in the reserved interval, and multiplying the average value by the empirical adjustment coefficient as the threshold setting basis, so as to set the heat response threshold.

[0027] As a further scheme of the present application, the step S4 is specifically:

[0028] S401: Based on the response time point and the current temperature change value in the temperature zone adjustment data set in multiple periods, the response time difference between the target temperature point and the current response curve is detected, whether there is an abnormal situation that the response time exceeds the response delay threshold is judged, and a temperature response delay abnormal point sequence is generated;

[0029] S402: The abnormal mark state of multiple periods in the temperature response delay abnormal point sequence is called, the temperature response rate of the corresponding period and the current period cumulative temperature rise amplitude are screened, and the heat response intensity value in the period is calculated, which is compared with the heat response threshold to determine whether it is a weak response state, and a heat response index set is obtained;

[0030] S403: According to the number and distribution section of continuous weak response marks in multiple temperature zones in the heat response index set, the abnormal point position in the temperature response delay abnormal point sequence is called and matched with the corresponding temperature control sequence information, the aging state mark and the section control state are updated, and a temperature zone record set is generated.

[0031] The heat response threshold is set by extracting the heat response index sequence in multiple periods in multiple temperature sections, reserving the middle 80% stable response interval, calculating the average value of the heat response index in the interval, and multiplying the response sensitivity coefficient.

[0032] As a further scheme of the present application, the response delay threshold is set by extracting the middle 90% interval after screening out extreme values from a sequence of response delay durations between the temperature response start time and the temperature control instruction issuing time under multiple temperature sections, calculating the distribution mean of the delay durations in the interval, and multiplying by a correction factor.

[0033] As a further scheme of the present application, the step S5 is specifically:

[0034] S501: Based on the temperature zone record set and the thermal response data set under multiple temperature sections, the period number, start time, end time and response index value, the time sequence of the thermal response index is collected and extracted according to the temperature zone, the response value variation slope and the interval fluctuation amplitude under multiple temperature sections are calculated, and the response trend parameter set is generated;

[0035] S502: The fluctuation mean amplitude and response slope parameters under multiple temperature sections in the response trend parameter set are called, the period number where the fluctuation amplitude changes dramatically is extracted, and the aging time setting value of the corresponding period in the temperature zone record set is matched, the temperature zone time trajectory sequence is constructed combined with the period order, and the aging time adjustment trajectory set is generated;

[0036] S503: According to the response trend parameter set, the time point sequence in the aging time adjustment trajectory set is adjusted, the response index variation range interval and time evolution order under each temperature zone are counted according to the section order, and the period number where the response trend mutation point is located under multiple temperature sections is marked, and the projector aging result is obtained;

[0037] The aging time setting value is set by the corresponding relationship between the thermal response index and the response trend change rate under multiple temperature sections.

[0038] On the other hand, an online aging system of a projector is provided, which is applied to the online aging method of the projector, and the system comprises:

[0039] A temperature division module divides temperature sections for aging the projector in an aging chamber, continuously collects temperature change data, calculates temperature change rate, temperature response delay time and temperature phase difference fluctuation, generates a thermal response data set and transmits it to a response identification module;

[0040] The response identification module identifies the number of continuous mutations of temperature response delay and temperature phase difference in the temperature section based on the thermal response data set, calculates the thermal response index of the current temperature section by normalization, generates the section thermal response index and transmits it to a temperature control adjustment module;

[0041] The temperature control adjustment module is based on the thermal response index of the section, suspends aging when the thermal response index does not reach the thermal response threshold and lasts for multiple cycles, calculates the temperature control adjustment output through a PID control algorithm, and performs temperature rise or fan cooling, generates a temperature zone adjustment data set, and transmits the temperature zone adjustment data set to the section switching module;

[0042] The section switching module is based on the temperature zone adjustment data set to obtain the temperature response delay and the thermal response index, switches the aging operation of the next temperature zone when the temperature response delay is met, and terminates the aging when the thermal response indexes of multiple temperature zones are continuously weakly responsive, generates a temperature zone record set, and transmits the temperature zone record set to the aging result module;

[0043] The aging result module is based on the temperature zone record set and the thermal response data set to construct a response trend and an aging time adjustment trajectory archiving item under each temperature zone, and generates a projector aging result by statistically analyzing the thermal response index change interval.

[0044] The technical scheme provided by the embodiment of the present application has at least the following beneficial effects:

[0045] By finely calculating the temperature change rate, the response delay time and the phase difference fluctuation, a thermal response data set is established, so that the quantitative identification of the response characteristics in the temperature zone is realized. The temperature response mutation behavior and the response trend are normalized, and the thermal response index is constructed, which is helpful for dynamically judging the adaptive state and the aging sensitivity of the equipment under different thermal environments. When the thermal response index is lower than the set threshold and lasts for multiple cycles, the aging operation is immediately suspended, and the temperature control output is adjusted through the PID algorithm, so that the temperature rise or cooling intervention is actively performed, which can effectively avoid the problem of long-term inefficient operation of the equipment in the non-sensitive temperature zone, and improve the aging efficiency. After the temperature response delay meets the condition, the next temperature zone is automatically switched to, so that the rhythm and advancement of the thermal stimulation process are ensured, and the process deviation caused by artificial intervention is avoided. Based on the historical thermal response index and the delay record, the response trend and the aging time trajectory are statistically analyzed, so that the aging performance under each temperature zone has traceability and control basis, and a refined aging result archiving system is formed. Through the linkage control strategy of identifying the response mutation, regulating the thermal load, monitoring the weak response behavior and archiving the adjustment trajectory, the whole aging process is changed from the traditional time driving to the thermal response driving, the perception ability and intervention precision of the thermal performance degradation process of the equipment are improved, and the engineering value of the aging data is strengthened. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical scheme in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work.

[0047] Figure 1 A workflow diagram of the present application;

[0048] Figure 2 A system flowchart of the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the present application will be described below with reference to the drawings.

[0050] In the embodiments of the present application, the words such as "example", "include" and the like are used to mean as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific manner. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0051] In the embodiments of the present application, "image" and "picture" can be used interchangeably at times, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized. "Of", "corresponding" and "corresponding" can be used interchangeably at times, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized.

[0052] In the embodiments of the present application, sometimes the subscript such as W1 can be written in the form of non-subscript such as W1, and the meanings expressed are consistent when the distinction is not emphasized.

[0053] In order to make the technical problems, technical solutions and advantages to be solved by the present application more clear, the following will be described in detail with reference to the drawings and specific embodiments.

[0054] Please refer to Figure 1 The present application provides a technical solution, an online aging method of a projector, comprising the following steps:

[0055] S1: aging the projector by dividing temperature sections through an aging chamber, continuously collecting temperature change data, and calculating temperature change rate, temperature response delay time and temperature phase difference fluctuation to generate a thermal response data set;

[0056] S2: based on the thermal response data set, identifying the number of continuous mutations of temperature response delay and temperature phase difference in the temperature section, calculating the thermal response index of the current temperature section by normalization, and generating a section thermal response index;

[0057] S3: Based on the segment thermal response index, when the thermal response index does not reach the thermal response threshold and lasts for multiple cycles, suspend aging, calculate the temperature control adjustment output through the PID control algorithm, and perform heating or fan cooling, and generate a temperature zone adjustment data set;

[0058] S4: Based on the temperature zone adjustment data set, obtain the temperature response delay and the thermal response index, when the temperature response delay is met, switch to the next level of temperature zone aging operation, when the thermal response index of multiple temperature zones is continuously weakly responsive, terminate the aging, and generate a temperature zone record set;

[0059] S5: Based on the temperature zone record set and the thermal response data set, construct the response trend, aging time adjustment trajectory archiving entry under each temperature zone, and generate the projector aging result by statistical thermal response index change interval.

[0060] The thermal response data set includes temperature change rate, temperature response delay time and temperature phase difference fluctuation, the segment thermal response index specifically refers to the normalized value of the number of continuous mutations of temperature response delay and the number of continuous mutations of temperature phase difference, the temperature zone adjustment data set includes temperature control adjustment output, heating adjustment amount and fan cooling adjustment amount, the temperature zone record set specifically refers to temperature response delay value, thermal response index interval and temperature zone number, and the projector aging result includes response trend change range, aging time adjustment trajectory and thermal response index change interval.

[0061] Please refer to Figure 1 , the steps of S1 are specifically:

[0062] S101: Divide multiple temperature zones by the aging chamber, perform continuous heating and cooling operation on the projector to be tested, collect temperature change values fed back by the temperature sensor in real time during the aging process, calculate the temperature change amplitude between adjacent time points, analyze the temperature change rate combined with the sampling interval, and obtain the temperature change rate value;

[0063] Based on the temperature zone division of the aging chamber, the projector to be tested is placed in a programmable temperature control box, the temperature cycle range is set to 25-85℃, 6 temperature zones are divided (25-35℃, 35-45℃, 75-85℃), the residence time of each zone is set to 30 minutes, the surface temperature of the projector heat sink is collected by K-type thermocouple at 10 second intervals, and the time stamp and temperature value constitute the original data set, when the absolute value of the temperature difference between adjacent sampling points exceeds 2℃, the change amplitude calculation is triggered, including that 38.2℃ is measured at the nth minute, 41.5℃ is measured at the nth+1 minute, the change amplitude is 3.3℃, and the instantaneous change rate is 3.3℃ / min combined with the 1 minute sampling interval, and all change rate values in multiple temperature zones are continuously recorded to form a rate set, as shown in Table 1 temperature sampling segment data:

[0064] Table 1 Temperature Zone Sampling Data Table

[0065] Timestamp (min) Temperature value (°C) Rate of change (°C / min) 12：00 28.5 - 12：01 31.2 2.7 12：02 34.8 3.6 12：03 37.1 2.3

[0066] As shown in Table 1, when the device rises from 28.5℃ to 37.1℃, three consecutive rate values are calculated, with the maximum rate of 3.6℃ / min at 12:01-12:02, and the average rate of 2.87℃ / min in the 25-35℃ segment as the characteristic value.

[0067] S102: Based on the temperature change rate value, the time difference between the initial response point and the target temperature reaching point of each segment of the temperature time series data is called, the response delay interval is extracted and summarized segment by segment, and the delay intervals in multiple segments are averaged to obtain the temperature response delay time;

[0068] According to the obtained multiple temperature segment change rate set, set the rate threshold v th = 1.0℃ / min, filter the effective data points with rate value greater than the threshold, include the rate sequence [1.2, 1.5, 0.8, 1.3] measured in the 45-55℃ segment, keep [1.2, 1.5, 1.3] after threshold filtering, corresponding to the timestamp sequence [t1, t2, t4], take the first valid point t1 as the temperature rise starting point, when the temperature first reaches the upper limit 55℃ of the target segment, record the time t end , calculate the delay time Δt = t end -t1, including t1 = 15:30, t end = 15:42, then Δt = 12 minutes, traverse all 6 temperature segments to obtain the delay time set [12, 14, 11, 13, 15, 10] minutes, calculate the arithmetic mean minutes as the temperature response delay time.

[0069] S103: According to the temperature response delay time, after dividing multiple temperature segments, extract the change values of the top and bottom points in the temperature fluctuation period in the segment, calculate the offset time difference of the change points to the average fluctuation period and count, generate a thermal response data set;

[0070] Based on the delay time of 12.5 minutes, the complete temperature cycle period data is intercepted, the temperature fluctuation top and bottom points are identified in the high temperature segment of 75-85℃, and the fluctuation amplitude threshold A th = 2.0℃, when the consecutive three sampling points satisfy T n-1 <T n >T n+1 and T n -T n-1 ≥ A th , it is marked as the top point, T n-1This represents the temperature measurement value at the (n-1)th sampling point in the temperature time series, where: n represents the sequence number of the current sampling point (e.g., n=15 for the 15th minute), T n This represents the temperature value (e.g., T) at the nth sampling point. 15 =79.5℃), T n-1 Represents the temperature value of the previous sampling point (e.g., T). 14 =78.1℃), including the measured temperature sequence [76.3, 78.1, 79.5, 77.8], then 79.5℃ is the peak. Calculate the time offset between the peak and the midpoint of the theoretical period, assuming the theoretical fluctuation period T. c =12.5×2=25 minutes, the actual peak occurs at the 18th minute, then the offset Δt offset =|18-12.5|=5.5 minutes. Calculate the offset of all 6 segments [5.5, 4.8, 6.2, 5.1, 4.3, 5.7] minutes and calculate the standard deviation. minutes, x i Let μ represent the i-th data point (e.g., thermal offset 5.5 minutes), μ represent the arithmetic mean of the dataset, and N represent the total number of data points. Generate a thermal response dataset including 12 feature parameters.

[0071] Please see Figure 1 The specific steps of S2 are as follows:

[0072] S201: Based on the thermal response dataset, identify the corresponding temperature response delay time series in each temperature range, and combine it with the corresponding ambient temperature change curve to filter response delay time points and determine whether they constitute an abnormal response. Count the number of abnormal points in the range and generate abnormal temperature response delay values.

[0073] Based on the temperature segmentation in the thermal response dataset, the time delay series [12, 14, 11, 13, 15, 10] minutes for the 45-55℃ segment is extracted. Corresponding ambient temperature change curve data are simultaneously acquired, and an ambient temperature change rate threshold v is set. env =0.5℃ / min. When the rate of change of ambient temperature exceeds the threshold, it is marked as an external interference period, including the time interval [09:00-09:15] during which the ambient temperature rises from 28℃ to 31℃, and the rate of change is... No interference flag was triggered, but the ambient temperature dropped sharply from 32℃ to 28℃ between 13:00 and 13:10, with a change rate of [missing information]. If the absolute value exceeds the threshold, all delay time data points within that time period are marked as points to be verified. For each delay time data point, the deviation from the segment mean μ = 12.5 minutes is calculated, and an anomaly judgment threshold δ is set. th = 2 × 1.87 = 3.74 minutes (Standard deviation calculation: ), when the single-point deviation absolute value exceeds 3.74 minutes, it is determined to be abnormal, including the delay time 16 minutes, the deviation | 16-12.5 | = 3.5 minutes does not exceed the standard, and the delay time 8 minutes, the deviation 4.5 minutes is marked as abnormal, traversing 6 sections, a total of 72 data points, the number of abnormal points is 9, and the abnormal value set [2, 1, 3, 1, 2, 0] is generated, as shown in Table 2, the abnormal point distribution:

[0074] Table 2 Temperature section abnormal point statistics table

[0075] Temperature section (°C) Total number of data points Number of outliers 25-35 12 2 35-45 12 1 45-55 12 3 55-65 12 1 65-75 12 2 75-85 12 0

[0076] As shown in Table 2, the number of abnormal points in the 45-55℃ section is the most (3), and there is no abnormality in the 75-85℃ section. The final abnormal value will be used as the basic data set for subsequent analysis.

[0077] S202: According to the temperature response delay abnormal value, the corresponding temperature phase difference sequence under the same section is extracted, the change amplitude of the phase difference value of each adjacent sampling period is compared, whether it exceeds the phase difference mutation threshold is judged, the number of continuous mutations is counted and arranged, and the mutation response feature quantity set is obtained;

[0078] Based on the obtained abnormal value, the temperature phase difference sequence is extracted in the 45-55℃ section, the sampling interval Δt = 5 minutes is set, and the phase difference Δφ between adjacent periods is calculated, wherein the phase angle φ is calculated by t delay The response delay time of the i th sampling period, including the delay time 12 minutes corresponding to φ1 represents the phase angle calculated in the first sampling period, the next period delay 14 minutes corresponding to φ2 = 168°, then the phase difference Δφ = | 168-144 | = 24°, traverse all data to obtain the phase difference sequence [24°, 18°, 12°, 30°], set the mutation threshold Δφ th is the 90th percentile of the data, by calculating the ascending arrangement of all phase difference values [12, 18, 24, 30], taking the index The value of the position is 32°, when the single phase difference exceeds 32°, it is recorded as a mutation event, including detecting three consecutive phase differences [35°, 38°, 33°], then the number of mutations is 3, and the mutation number set [3, 2, 5, 4, 3, 1] is obtained in 6 sections, forming the feature quantity set.

[0079] S203: Call each value in the mutation response feature quantity set, normalize multiple feature quantities, respectively obtain the normalized index value of multiple temperature sections, calculate the response score after combination, and generate the section thermal response index;

[0080] The phase difference mutation threshold is set by removing the stable fluctuation interval after removing the upper and lower extreme values of the phase difference amplitude distribution between adjacent time points through full-cycle statistical analysis of the phase difference sequence of the temperature response curve under multiple temperature sections;

[0081] The mutation number set [3, 2, 5, 4, 3, 1] is called, and each section is normalized to set the normalized reference value N max = 8 times (set according to the maximum mutation number), and the normalized index is calculated Nmax represents the normalized reference value, C n represents the number of mutations in the section, including the mutation number 5 times corresponding At the same time, the temperature weight coefficient w T (55℃ section weight 1.2, 85℃ section weight 1.5, other sections 1.0) is introduced, and the weight distribution is determined by expert scoring method, and the response score S = ∑(I n ×w T ), including 55℃ section score 62.5×1.2=75, 85℃ section score The total section score S = 75+18.75+... = 285 is accumulated, and the heat response index set [75, 24, 62] is generated.

[0082] Please refer to Figure 1 , the steps of S3 are as follows:

[0083] S301: Based on the section heat response index, it is judged whether the index value in the sampling period reaches the heat response threshold value, the number of continuous periods not reaching the threshold value is accumulated, the current period state is recorded as pause state, and the pause period identifier sequence is generated;

[0084] Based on the section heat response index data set [75, 24, 62, 58, 33, 18], set the heat response threshold H th = 60, traverse 6 temperature sections, when the index value H i<60 is marked as a substandard state, including the 3rd segment index 62 meeting the standard and the 5th segment index 33 not meeting the standard, when counting the number of consecutive substandard periods, the time window is set to 3 sampling periods (30 minutes per period), if the index of a single segment is lower than the threshold value in the consecutive 3 periods, the pause state marker is triggered, including the 5th segment measuring the index sequence [55, 58, 57] in the period [10:00-10:30], [10:30-11:00], [11:00-11:30], which meets the substandard for 3 consecutive times, and generates the pause identifier 1 (active state), while the 6th segment measures [18, 25, 32] in the same period, which only triggers a single period, and does not mark when the cumulative number is less than 3 times, and generates the identifier sequence [0, 0, 1, 0, 1, 0], as shown in Table 3 period state record:

[0085] Table 3 Temperature segment period state table

[0086]

[0087] As shown in Table 3, when the cumulative number of substandard times reaches the set threshold value of 3 times, the corresponding pause state identifier is generated.

[0088] S302: According to the pause period identifier sequence, the temperature set value, the current temperature value and the error change rate data in the same period are extracted, and the proportional term, the integral term and the differential term are substituted into the PID control algorithm to calculate the output adjustment coefficient, and then the adjustment execution power is converted to obtain the temperature control adjustment output coefficient set;

[0089] The pause identifier sequence is called, and in the activated pause segment (No. 5), ΔT (temperature error) is acquired by a temperature sensor in real time set The difference between the set value T now and the current value T set : ΔT = T now = 75℃-68.5℃ = 6.5℃, The error change rate is calculated by taking the average of the error change rates of the last 3 sampling points: dt represents 3 sampling points, dΔT represents the error change rate, and α (damping coefficient) is determined by testing, and when α = 0.2, the overshoot can be effectively suppressed (the commonly used range of industrial control is 0.1-0.3), K p , K i , and K d (PID gain) are determined by the Ziegler-Nichols tuning method: proportional gain K p = 2.5 (typical range 1.0-5.0), integral gain K i = 0.4 min -1 (typical range 0.1-1.0), and differential gain K d= 1.2 min (typical range 0.5-2.0), τ (system time constant), measured by step response test: τ = 5 min, time required for temperature to rise from 0 to 63.2% of steady state value, plug into formula Denominator term calculation: 1 + 0.2 x 0.83 = 1.166, proportional term calculation: Integral term calculation: 0.4 x 5 x 32.5 = 2 x 32.5 = 65 Derivative term calculation: Calculation: The adjustment coefficient u = 381.6 is calculated, which is converted into execution power: The power value is within the safe operating range of the heater (20%-80% of rated power), indicating that the control output is within a reasonable range and stable temperature regulation can be achieved.

[0090] S303: Call the temperature control adjustment output coefficient set, combine the temperature control execution device state under the corresponding time axis, and perform time-sharing output control on the heating element and fan, and simultaneously record the execution parameters, control target values and corresponding execution state data in multiple output periods to generate a temperature zone adjustment data set;

[0091] Based on the output coefficient set, in the time axis [11:30-12:00] period, apply 76.3% power (1526W) to the heating element of section 5, simultaneously start the cooling fan to 63% speed (1890RPM), collect execution parameters every 5 minutes, record the actual power fluctuation range of the heater as [1515-1535]W, the temperature set value remains 75℃, the actual temperature rises from 68.5℃ to 73.2℃, the error change rate decreases to 0.2C / min, and the adjustment data set entries are generated: timestamp: 11:35, target value: 75℃, actual value: 70.1℃, heating power: 1526W, fan speed: 1890RPM, timestamp: 11:40, target value: 75℃, actual value: 72.4℃, heating power: 1526W, fan speed: 1890RPM, after 10 control periods, a temperature zone adjustment data set including 120 records is formed.

[0092] Please refer to Figure 1 , the steps of S4 are as follows:

[0093] S401: Based on the response time points and current temperature change values in the temperature zone adjustment data set, detect the response time difference between the target temperature point and the current response curve, judge whether there is an abnormal situation that the response time exceeds the response delay threshold, and generate a temperature response delay abnormal point sequence;

[0094] Based on the temperature zone adjustment data set, the periodic data (time stamp [11:35, 11:40, 11:45]) is extracted, the target temperature point 75℃ and the actual temperature sequence [70.1, 72.4, 73.2]℃ are calculated, and the response time difference Δt r When the actual temperature reaches the set value ±0.5℃ tolerance band, the compliance time is recorded, including the temperature 73.2℃ at 11:45 and the target value difference 1.8℃, which is not recorded, and the temperature 74.6℃ at 12:00, which records the compliance time difference Δt r = 25 minutes, set the response delay threshold Δt th = 20 minutes (determined according to the 95th percentile of the data), when Δt r > 20 minutes, marked as abnormal, traversing 6 temperature zones, a total of 48 periodic data, detecting abnormal point sequence [25, 22, 28, 19, 24, 18] minutes, generating abnormal point number [5, 12, 23, 37], as shown in Table 4 abnormal point distribution:

[0095] Table 4 Temperature response delay abnormal point table

[0096] Outlier number Timestamp Target temperature Actual temperature Delay time 5 11：45 75℃ 73.2℃ 25 min 12 12：15 75℃ 72.8℃ 22 min 23 13：05 75℃ 71.5℃ 28 min

[0097] As shown in Table 4, when the delay time exceeds the threshold of 20 minutes, the corresponding abnormal mark is generated.

[0098] S402: Call the abnormal mark state of the multi-period in the temperature response delay abnormal point sequence, filter the temperature response rate of the corresponding period and the cumulative temperature rise amplitude of the current period, and calculate the thermal response intensity value in the period. Compared with the thermal response threshold, determine whether it is a weak response state, and get the thermal response index set;

[0099] Call the abnormal point sequence, extract the abnormal point data of number 5: (Temperature response rate), collect data at 1 minute intervals through the temperature sensor, and calculate the temperature change rate of adjacent time points: t i represent the time point, t i+1 represent the adjacent time point, T i+1 represent the adjacent time point temperature change, T i represent the temperature change, (Cumulative temperature rise amplitude), the cumulative change from the period starting temperature 68.5℃ to the current point temperature 73.2℃: (Hot flow density fluctuation value), using the heat flow sensor to measure the data at 3 sampling points: The typical fluctuation range of industrial equipment is 10-20W / m 2 , τ (c)(time constant), determined by step response test: when the heating power is suddenly increased from 0 to 80%, the temperature rises from 25°C to 63.2% of the target value (75°C) in time: τ (c) = 5 min (reasonable range 3-8 minutes), n (number of abnormal points), 2 abnormal points (No. 5, 12) are detected in the current cycle, and the formula is substituted Molecular calculation: ∑|v i ΔT i | = (0.16 x 4.7) + (0.18 x 3.9) = 0.752 + 0.702 = 1.454, denominator calculation: Denominator total value = 26.38 + 3.333 = 29.713, intensity value calculation: Thermal response threshold H th Calculation process: extract the thermal response intensity value of 100 cycles of data, arrange in ascending order and take the 10th to 90th data (middle 80% interval), calculate the interval mean value: Multiply the response sensitivity coefficient 1.2: H th = 0.21 x 1.2 = 0.25, H = 0.0489 is calculated, which is much lower than the threshold H th = 0.25, indicating that the current cycle thermal response efficiency is seriously insufficient, the result directly triggers the aging warning state marker, drives the system into the degradation control mode, and generates the thermal response index set [0.0489, 0.415, 0.441].

[0100] S403: According to the number of continuous weak response markers in the multi-temperature zone in the thermal response index set and the distribution section, the abnormal point position in the temperature response delay abnormal point sequence is called simultaneously and the corresponding temperature control control sequence information is matched, the aging state marker and the section control state are updated, and the temperature zone record set is generated;

[0101] The thermal response threshold is set by extracting the thermal response index sequence in multiple cycles in multiple temperature sections, retaining the middle 80% stable response interval, calculating the average value of the thermal response index in the interval, and multiplying the response sensitivity coefficient;

[0102] Based on the weak response marker, the thermal response index sequence [0.230, 0.225, 0.218] of temperature zone 5 is detected in the next 3 cycles, which is lower than the threshold 0.25, and the cumulative weak response times reaches 3 times, triggering the aging state marker, synchronously calling the heating power data [76.3%, 75.8%, 74.9%] in the corresponding period in the temperature control sequence, updating the temperature zone state to aging warning, and generating the temperature zone record set entry: Section 5, time range 11:45-13:15, heating power average 75.7%, aging marker 1, control state degradation, data comparison shows that the normal section heating power fluctuation range is ±5%, while the aging section fluctuation reaches ±8%, the control strategy is adjusted to the conservative mode (power upper limit 70%).

[0103] Referring to Figure 1 , the steps of S5 are specifically:

[0104] S501: Based on the cycle number, start time, end time and response index value of the temperature zone record set and the thermal response data set under multiple temperature zones, the time series of the thermal response index is collected and extracted according to the temperature zone, the response value variation slope and the interval fluctuation amplitude of the sequence under multiple temperature zones are calculated, and the response trend parameter set is generated;

[0105] Based on the 6 temperature zone data (number 1-6) in the temperature zone record set, the thermal response index time series of temperature zone 5 in 10 cycles [0.230, 0.225, 0.218, 0.210, 0.205, 0.198, 0.192, 0.185, 0.180, 0.175] is extracted, the least square method is used to calculate the variation slope, the time axis t=1, 2,..., 10] is set, the response index H=[0.230,..., 0.175] is calculated, and the slope is calculated. Substitute the numerical value: ∑t=55, ∑H=1.988, ∑tH=9.45, ∑t 2 =385, n represents the number of data points (such as 10 cycles of temperature zone 5), ∑t 2 represents the sum of squares of time variables, 1 2 +2 2 +...+10 2 =385, (∑t) 2 represents the sum of squares of time variables (1+2+...+10) 2 =385, ∑tH represents the product of time and response index, 1×0.230+2×0.225+...+10×0.175=9.45, ∑t∑H represents the product of time and response index, 55×1.988=109.34, the interval fluctuation amplitude is calculated as the difference between the maximum value 0.230 and the minimum value 0.175, which is 0.055, and the response trend parameter set entry: temperature zone 5, slope-0.018 / cycle, fluctuation amplitude 0.055, as shown in the parameter set in Table 5:

[0106] Table 5 Response Trend Parameter Table

[0107] Temperature section number Slope (cycles) Amplitude of fluctuation 5 -0.018 0.055

[0108] As shown in Table 5, the negative slope indicates that the thermal response efficiency of temperature zone 5 continues to decline.

[0109] S502: Call the fluctuation amplitude and response slope parameters in the response trend parameter set under the multi-temperature zone, extract the period number where the fluctuation amplitude changes dramatically, and match the aging time setting value of the corresponding period in the temperature zone record set, combine the period order to construct the temperature zone time trajectory sequence, and generate the aging time adjustment trajectory set;

[0110] Call table 5 data, set the fluctuation dramatic change threshold to 1.5 times the average fluctuation amplitude 0.03 (0.045), and the fluctuation amplitude of temperature zone 5 is 0.055, which exceeds the threshold, extract the corresponding period number [6, 7, 8, 9, 10], match the aging time setting value in the temperature zone record set, and calculate the aging time setting value through the formula aging time setting value minutes: minutes, k represents the response index change slope, and the time trajectory sequence is constructed in period order: period 6, (11:30), aging time 18 min, period 7 (12:00), aging time 18 min: generate aging adjustment trajectory set entries: temperature zone 5, trajectory sequence 6 (18), 7 (18), 8 (18), 9 (18), 10 (18).

[0111] S503: Adjust the time point sequence in the aging time adjustment trajectory set according to the response trend parameter set, statistically analyze the response index change range interval and time evolution order in each temperature zone, and mark the period number where the response trend mutation point is located in the multi-temperature zone, to obtain the projector aging result;

[0112] The aging time setting value is set through the corresponding relationship between the thermal response index and the response trend change rate under the multi-temperature zone;

[0113] Based on the trajectory set, the response index change range of temperature zone 5 is [0.175, 0.230], which is divided into three evolution stages: 1. Stage 1 (period 1-3): index interval [0.218, 0.230], 2. Stage 2 (period 4-7): index interval [0.192, 0.210], 3. Stage 3 (period 8-10): index interval [0.175, 0.185], when detecting the trend mutation point, calculate the slope change rate Δk = |k i+1 -k i |, k i+1 represent the slope change amount of adjacent periods, k i represent the local slope from the i-th period to the i+3 period (such as k1 = -0.015 / period for periods 1-3), when Δk> 0.005, mark it, including the slope from -0.015 to -0.020 of periods 3 to 4, Δk = 0.005, trigger the mutation mark, and generate the projector aging result: temperature zone 5, aging stage 3, mutation point period 4 / 8, maintenance level B.

[0114] Please refer toFigure 2 An online aging system of a projector, the online aging system of the projector is used to execute the online aging method of the projector, the system comprises:

[0115] A temperature division module, the projector is aged by dividing the temperature section through the aging chamber, the temperature change data is continuously collected, the temperature change rate, the temperature response delay time and the temperature phase difference fluctuation are calculated, the thermal response data set is generated and transmitted to the response identification module;

[0116] A response identification module, based on the thermal response data set, the number of continuous mutations of the temperature response delay and the temperature phase difference in the temperature section is identified, the thermal response index of the current temperature section is calculated by normalization, the section thermal response index is generated and transmitted to the temperature control adjustment module;

[0117] A temperature control adjustment module, based on the section thermal response index, when the thermal response index does not reach the thermal response threshold and lasts for multiple periods, the aging is suspended, the temperature control adjustment output is calculated through the PID control algorithm and the temperature is raised or the fan is cooled, the temperature zone adjustment data set is generated and transmitted to the section switching module;

[0118] A section switching module, based on the temperature zone adjustment data set, the temperature response delay and the thermal response index are obtained, when the temperature response delay is met, the aging operation of the next temperature section is switched, when the thermal response indexes of multiple temperature zones are continuously weakly responsive, the aging is terminated, the temperature zone record set is generated and transmitted to the aging result module;

[0119] An aging result module, based on the temperature zone record set and the thermal response data set, the response trend under each temperature section, the aging time adjustment trajectory archiving item is constructed, the thermal response index change interval is counted to generate the projector aging result.

[0120] It should be understood that the term "and / or" herein only describes the association relationship of the associated objects, which means that there can be three relationships, including A and / or B, which can represent three cases of A alone, A and B together, and B alone, wherein A and B can be singular or plural. In addition, the character " / " herein generally represents that the front and rear associated objects are in an "or" relationship, but can also represent an "and / or" relationship, which can be understood according to the context before and after.

[0121] In the present application, "at least one" means one or more, and "a plurality of" means two or more. "At least one of the following" or the like means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b, or c can mean a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, and c can be single or multiple.

[0122] It should be understood that the size of the sequence number of the multiple processes described above does not mean the order of execution in the embodiments of the present application, and the execution order of the multiple processes should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0123] Those skilled in the art can appreciate that the multiple example units and algorithm steps described in combination with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use multiple methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0124] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described devices, apparatuses and units can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0125] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. The above-described device embodiments are only schematic, and the division of the units is only a logical function division, and there can be another division when actually implemented, including that multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between the units can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0126] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Part or all of the units can be selected according to the current needs to achieve the purpose of the embodiment.

[0127] In addition, the multiple function units in the embodiments of the present application can be integrated in one processing unit, or can be multiple units physically existing separately, or two or more units can be integrated in one unit.

[0128] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0129] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An online aging method for a projector, characterized in that, The method includes: S1: The projector is aged by dividing the temperature zone in the aging chamber, continuously collecting temperature change data, and calculating the temperature change rate, temperature response delay time and temperature phase difference fluctuation to generate a thermal response dataset. S2: Based on the thermal response dataset, identify the number of consecutive abrupt changes in temperature response delay and temperature phase difference within the temperature range, perform normalization to calculate the thermal response index of the current temperature range, and generate the segment thermal response index. S3: Based on the thermal response index of the section, when the thermal response index does not reach the thermal response threshold and continues for multiple cycles, aging is paused. The temperature control output is calculated by the PID control algorithm and the temperature is increased or the fan is cooled to generate a temperature zone adjustment dataset. S4: Based on the temperature zone adjustment dataset, obtain the temperature response delay and thermal response index. When the temperature response delay is satisfied, switch the aging operation of the next temperature zone. When the thermal response index of multiple temperature zones has a continuous weak response, terminate the aging and generate a temperature zone record set. S5: Based on the temperature zone record set and thermal response dataset, construct archive entries for the response trend and aging time adjustment trajectory under each temperature zone, and generate projector aging results by statistically analyzing the thermal response index change range.

2. The online aging method for a projector according to claim 1, characterized in that, The thermal response dataset includes the temperature change rate, temperature response delay time, and temperature phase difference fluctuation. The segment thermal response index specifically refers to the normalized value of the number of consecutive abrupt changes in temperature response delay and the number of consecutive abrupt changes in temperature phase difference. The temperature zone adjustment dataset includes the temperature control adjustment output, the temperature rise adjustment, and the fan heat dissipation adjustment. The temperature zone record set specifically includes the temperature response delay value, the thermal response index interval, and the temperature zone number. The projector aging results include the response trend change range, the aging time adjustment trajectory, and the thermal response index change interval.

3. The online aging method for a projector according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: The aging chamber is divided into multiple temperature zones, and the projector under test is continuously heated and cooled. During the aging process, the temperature change values ​​fed back by the temperature sensor in real time are collected, the temperature change amplitude between adjacent time points is calculated, and the temperature change rate is analyzed in combination with the sampling interval to obtain the temperature change rate value. S102: Based on the temperature change rate value, call the time difference between the initial response point of each segment of temperature rise or fall and the target temperature point in the temperature time series data, extract the response delay interval and summarize it segment by segment, and calculate the average delay interval under multiple segments to obtain the temperature response delay time. S103: Based on the temperature response delay time, after dividing into multiple temperature segments, extract the peak and low point change values ​​within the temperature fluctuation cycle of the segment, calculate and statistically analyze the time difference of the change point relative to the average fluctuation cycle, and generate a thermal response dataset.

4. The online aging method for a projector according to claim 1, characterized in that, The specific steps of S2 are as follows: S201: Based on the thermal response dataset, identify the corresponding temperature response delay time series in each temperature range, and combine it with the corresponding ambient temperature change curve to filter response delay time points and determine whether they constitute an abnormal response. Count the number of abnormal points in the range and generate abnormal temperature response delay values. S202: Based on the abnormal temperature response delay value, extract the corresponding temperature phase difference sequence in the same segment, compare the change amplitude of the phase difference value in each adjacent sampling period, determine whether it exceeds the phase difference mutation threshold, count the number of consecutive mutations and organize them to obtain the mutation response feature set. S203: Call each set of values ​​in the set of mutation response features, normalize the multiple feature quantities, obtain the normalized index values ​​of multiple temperature ranges, calculate the combined response score, and generate the range thermal response index. The phase difference abrupt change threshold is set by performing full-cycle statistical analysis on the phase difference sequence of temperature response curves under multiple temperature ranges, calculating the distribution of the change amplitude of phase difference between adjacent time points, and setting a stable fluctuation range after removing upper and lower extreme values.

5. The online aging method for a projector according to claim 1, characterized in that, The specific steps in S3 are as follows: S301: Based on the thermal response index of the section, determine whether the index value within the sampling period reaches the thermal response threshold, accumulate the number of consecutive periods that do not reach the threshold, record the current period state as a paused state, and generate a paused period identifier sequence. S302: Based on the pause cycle identifier sequence, extract the temperature setpoint, current temperature value and error change rate data within the same cycle, substitute them into the proportional term, integral term and derivative term, calculate the output adjustment coefficient according to the PID control algorithm, and convert it into adjustment execution power to obtain the temperature control adjustment output coefficient set; S303: Call the temperature control adjustment output coefficient set, combine it with the temperature control actuator status under the corresponding time axis, perform time-division output control on the heating element and fan, and synchronously record the execution parameters, control target values ​​and corresponding execution status data in multiple output cycles to generate a temperature zone adjustment dataset.

6. The online aging method for a projector according to claim 5, characterized in that, The thermal response threshold is determined by statistically analyzing the thermal response index sequences of all segments, extracting the thermal response index distribution of each type of equipment in a continuous normal response cycle, removing extreme response values, calculating the average response index within the retention interval, and using the average value multiplied by an empirical adjustment coefficient as the basis for setting the threshold.

7. The online aging method for a projector according to claim 1, characterized in that, The specific steps of S4 are as follows: S401: Based on the response time points of multiple cycles in the temperature zone adjustment data and the current temperature change value, detect the response time difference between the target temperature point and the current response curve, determine whether there is an abnormal situation where the response time exceeds the response delay threshold, and generate a temperature response delay abnormal point sequence. S402: Call the abnormal marker states of multiple periods in the temperature response delay abnormal point sequence, filter the temperature response rate of the corresponding period and the cumulative temperature rise of the current period, calculate the thermal response intensity value in the period, compare it with the thermal response threshold, determine whether it is a weak response state, and obtain the thermal response index set. S403: Based on the number and distribution segments of continuous weak response markers under multiple temperature zones in the thermal response index set, and simultaneously calling the abnormal point positions in the temperature response delay abnormal point sequence and matching the corresponding temperature control sequence information, update the aging state markers and segment control states to generate a temperature zone record set. The thermal response threshold is set by extracting the thermal response index sequence under multiple cycles in multiple temperature ranges, retaining the middle 80% stable response range, calculating the average value of the thermal response index within the range, and multiplying it by the response sensitivity coefficient.

8. The online aging method for a projector according to claim 7, characterized in that, The response delay threshold is calculated by statistically analyzing the response delay duration sequence between the start time of the temperature response and the time of the temperature control command under multiple temperature ranges, filtering out extreme values, extracting the middle 90% interval, calculating the distribution mean of the delay duration within the interval, and multiplying it by a correction factor.

9. The online aging method for a projector according to claim 1, characterized in that, The specific steps of S5 are as follows: S501: Based on the temperature zone record set and the thermal response dataset, the cycle number, start time, end time and response index value under multiple temperature zones are collected and extracted according to temperature zone division, the time series of thermal response index is calculated, the slope of response value change and interval fluctuation amplitude of the sequence under multiple temperature zones are calculated, and a response trend parameter set is generated. S502: Call the fluctuation average amplitude and response slope parameters under multiple temperature zones in the response trend parameter set, extract the cycle number where the fluctuation amplitude changes drastically, match the aging time setting value of the corresponding cycle in the temperature zone record set, construct the temperature zone time trajectory sequence in combination with the cycle order, and generate the aging time adjustment trajectory set. S503: Adjust the time point sequence in the aging time adjustment trajectory set according to the response trend parameter set, statistically analyze the variation range and time evolution order of the response index in each temperature zone according to the segment order, and mark the cycle number where the response trend mutation point is located in multiple temperature zones to obtain the projector aging result. The aging time setting is determined by the correspondence between the thermal response index and the rate of change of the response trend under multiple temperature ranges.

10. An online aging system for a projector, characterized in that, The system is used to implement the online aging method for the projector according to any one of claims 1-9, the system comprising: The temperature segmentation module divides the projector into temperature zones in the aging chamber to age it, continuously collects temperature change data, calculates the temperature change rate, temperature response delay time, and temperature phase difference fluctuation, generates a thermal response dataset, and transmits it to the response recognition module. The response identification module, based on the thermal response dataset, identifies the number of consecutive abrupt changes in temperature response delay and temperature phase difference within the temperature range, performs normalization calculation of the thermal response index of the current temperature range, generates the segment thermal response index, and transmits it to the temperature control module. The temperature control module, based on the thermal response index of the section, pauses aging when the thermal response index does not reach the thermal response threshold and continues for multiple cycles. It calculates the temperature control output through the PID control algorithm and performs heating or fan cooling, generates a temperature zone adjustment dataset and transmits it to the section switching module. The section switching module obtains the temperature response delay and thermal response index based on the temperature zone adjustment dataset. When the temperature response delay is met, it switches the aging operation of the next temperature zone. When the thermal response index of multiple temperature zones has a continuous weak response, the aging is terminated, a temperature zone record set is generated, and it is transmitted to the aging result module. The aging results module constructs archived entries for the response trend and aging time adjustment trajectory under each temperature range based on the temperature range record set and thermal response dataset, and generates projector aging results by statistically analyzing the thermal response index change range.

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