A method and system for monitoring the aging of a vehicle rearview mirror

Abstract

This invention relates to the field of performance monitoring of automotive electronic devices, and more particularly to a method and system for monitoring the aging of automotive rearview mirrors. The method includes: when the anti-glare function of the rearview mirror is triggered, acquiring the timing sequence of the driving signal and the timing sequence of the optical response, constructing a monitoring sample, and constructing a two-dimensional timing trajectory to calculate spatial directional consistency; calculating the timing coupling consistency through cross-correlation coefficients and lag orders; dividing the driving signal and optical response timing sequences into intervals and assigning state levels to generate a coupled state sequence, as well as the weight of the state transition distance and calculating the state transition characteristics; fusing directional consistency, timing coupling consistency, and state transition characteristics to obtain sample credibility; combining the credibility for weighted fusion; and finally determining the aging level of the rearview mirror. This invention calculates credibility through multi-dimensional feature fusion and follows the physical mechanism of electrochromism, effectively eliminating external interference, significantly improving the accuracy of aging determination, and avoiding false positives and false negatives.

Description

Technical Field

[0001] This invention relates to the field of performance monitoring of automotive electronic equipment. In particular, it relates to a method and system for monitoring the aging of automotive rearview mirrors. Background Technology

[0002] Automatic anti-glare rearview mirrors are a key component for ensuring driving safety at night. They suppress glare from strong rear lights, preventing momentary night blindness for the driver. Their core technology relies on electrochromic (EC) technology: after a sensor detects light, a controller applies a driving voltage or current, causing ions within the EC material to migrate in a specific direction, thereby changing the lens's reflectivity and transmittance to achieve adaptive anti-glare. This is an important active safety device for vehicles.

[0003] In real-world automotive environments, EC rearview mirrors are susceptible to multiple complex factors, including electromagnetic noise, mechanical vibration, high temperatures, and ultraviolet radiation. These factors can cause temporary signal distortion and accelerate irreversible aging of components. When a vehicle travels through areas with strong electromagnetic fields, such as high-voltage facilities, electromagnetic noise can couple to the drive circuit, causing spikes and fluctuations in the drive voltage and current. This results in an abnormally high voltage fluctuation rate, exhibiting characteristics similar to drive circuit aging. When a vehicle travels on bumpy roads, severe mechanical vibration can cause abrupt changes in the optical sensor signal, abnormally lengthening the response time. This can easily be misinterpreted as impaired ion migration in the EC material. Simultaneously, prolonged exposure to high temperatures, ultraviolet radiation, and repeated oxidation-reduction reactions can reduce the number of active ions in the EC functional layer and block ion transport channels, ultimately leading to real aging phenomena such as lens yellowing, slowed response, and decreased drive stability. These directly affect the performance of the rearview mirror and driving safety.

[0004] Existing EC rearview mirror aging monitoring technologies generally rely on single performance indicators such as color difference value and response time, or use general time-series statistical characteristics such as variance and ordinary entropy value, without incorporating the core physical mechanism of electrochromic properties of EC materials into the monitoring scheme design. Such methods cannot effectively distinguish between false aging signals caused by electromagnetic interference and vibration interference and the true aging state resulting from the performance degradation of the EC mirror body and drive circuit. In complex vehicle environments, they are prone to misjudgment and missed judgments, failing to accurately reflect the true degree of aging of the rearview mirror and thus unable to provide a reliable basis for product quality inspection, vehicle warnings, and maintenance replacement. Summary of the Invention

[0005] To address the problem that automotive rearview mirrors are exposed to the outdoors for extended periods, where temperature, humidity, ultraviolet radiation, electromagnetic noise, and vibration can all cause signal distortion, and traditional single-indicator monitoring cannot distinguish between true and false aging, leading to frequent misjudgments and missed judgments, this invention provides solutions in the following aspects.

[0006] In a first aspect, a method for monitoring the aging of a vehicle rearview mirror includes: when the anti-glare function of the rearview mirror is triggered, acquiring the driving signal timing sequence and optical response timing sequence of the rearview mirror, and constructing a monitoring sample using the driving signal timing sequence and optical response timing sequence; constructing a two-dimensional timing trajectory based on the driving signal timing sequence and optical response timing sequence, and calculating spatial orientation consistency based on the directional distribution of displacement vectors in the two-dimensional timing trajectory; calculating timing coupling consistency based on the cross-correlation coefficient and hysteresis order between the driving signal timing sequence and the optical response timing sequence; dividing the driving signal into numerical intervals to obtain multiple driving signal numerical intervals, assigning driving signal state levels, and dividing the optical response timing into numerical intervals. The system is divided into multiple optical response value ranges and assigned optical response state levels. The state levels of the driving signal and the optical response at the same time are combined to generate coupling states at each time. These coupling states are then arranged in temporal order to form a sequence. The state transition distance is determined based on the state differences between the coupling states. A state transition distance weight is constructed based on the state transition distance weight, and the state transition characteristics are calculated based on the state transition distance weight. The directional consistency characteristics, temporal coupling consistency, and state transition characteristics are fused to obtain the reliability of the monitoring samples. Multiple sets of monitoring samples are then weighted and fused based on the reliability. The aging level of the endoscope is determined based on the weighted fusion result.

[0007] Preferably, the calculation steps for the spatial orientation consistency are as follows: Calculate the displacement vector between adjacent sample points within the monitoring sample, convert the displacement vector into polar angle, divide multiple angle intervals according to the preset polar angle range, count the number of displacement vectors in each polar angle interval to construct a polar angle frequency histogram, and use the ratio of the maximum frequency in the polar angle frequency histogram to the total number of displacement vectors as the spatial direction consistency.

[0008] Preferably, the calculation steps for the temporal coupling consistency are as follows: Calculate the cross-correlation function between the normalized driving signal timing and the optical response timing in the monitoring sample, and obtain the maximum cross-correlation coefficient and the corresponding optimal hysteresis order; An indicator function is constructed based on the optimal lag order. If the optimal lag order is positive, the maximum cross-correlation coefficient is taken as the temporal coupling characteristic. Otherwise, if the optimal lag order is less than or equal to zero, the temporal coupling characteristic is set to zero. This ensures that the temporal coupling characteristic is a non-zero effective value when the change in the driving signal precedes the change in the optical response.

[0009] Preferably, the step of discretizing the driving signal and optical response into states and generating a coupled state sequence includes: The number of state levels for the driving signal and the optical response are preset respectively, and the state levels for the driving signal and the optical response are divided at equal intervals to obtain the numerical range corresponding to each state level. The driving signal state level and the optical response state level at the same moment are combined into a state pair as the corresponding coupling state at the moment. The coupling state at each moment is determined sequentially according to the time sequence to form a coupling state sequence.

[0010] Preferably, the calculation steps for the state transition features include: By statistically analyzing the transition frequencies of adjacent coupled states in the coupled state sequence, a state transition probability matrix is ​​constructed to obtain the transition probability of any coupled state transitioning to other coupled states. Determine the state coordinates based on the driving signal level and optical response level corresponding to any two coupling states, calculate the Euclidean distance between the coordinates and construct the physical proximity weight accordingly. The state transition probabilities are weighted using physical proximity weights to obtain weighted transition probabilities. Based on these weighted transition probabilities, the state weighted transition entropy is calculated using the Shannon entropy formula to obtain the state transition features.

[0011] Preferably, the calculation steps for the reliability of the monitored sample are as follows: The spatial orientation consistency, temporal coupling consistency, and state-weighted transition entropy of the monitoring samples are fused and calculated using a preset formula. The credibility is positively correlated with the spatial orientation consistency and temporal coupling consistency, and negatively correlated with the state-weighted transition entropy. The fusion yields the credibility of the monitoring samples.

[0012] Preferably, the step of determining the aging level of the rearview mirror specifically includes: Based on the credibility of the response indicator set corresponding to each monitoring sample, normalized weight allocation is performed on each response indicator, and the fused true value of each response indicator is obtained by weighted summation. Pre-calibrate the standard values ​​of various response indicators of the new automotive rearview mirror, calculate the relative deviation between the fused real value of each response indicator and the corresponding standard value, and quantify the degree of aging and decay of the indicator by measuring the relative deviation. Based on the preset judgment rules and the relative deviation of various indicators, the aging status of vehicle rearview mirrors is comprehensively divided into four levels: normal, slightly aged, moderately aged, and severely aged.

[0013] Secondly, a vehicle rearview mirror aging monitoring system includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned vehicle rearview mirror aging monitoring method is implemented.

[0014] The present invention has the following effects: 1. This invention uses three-dimensional features—spatial direction consistency, temporal coupling consistency, and state-weighted transition entropy—to jointly calculate the reliability of monitoring samples. This can eliminate signal distortion and false aging features caused by external interference such as temperature, humidity, ultraviolet radiation, electromagnetic noise, and vibration, retaining only the effective data that truly reflects the aging of rearview mirrors. This fundamentally solves the problem of misjudgment and omission in traditional single-indicator monitoring, significantly improving the accuracy and reliability of aging status determination.

[0015] 2. This invention follows the physical law of electrochromism, where the driving signal changes first and the optical response follows, and quantifies the orderliness of state transitions through methods such as state distance weighting and weighted transfer entropy. This makes the monitoring process highly consistent with the actual working mechanism of the rearview mirror, enabling accurate identification of anomalies such as sudden state changes and temporal disorder, and ensuring the authenticity and reliability of aging assessment results. Attached Figure Description

[0016] Figure 1 This is a flowchart of steps S1-S4 in a method for monitoring the aging of a vehicle rearview mirror according to an embodiment of the present invention.

[0017] Figure 2 This is a structural block diagram of an aging monitoring system for vehicle rearview mirrors according to an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0019] Specific implementation scenario: For performance testing of aging monitoring of automatic anti-glare rearview mirrors, a box-type multi-station testing chamber was built on the R&D site. The chamber is equipped with several independent testing stations, and each station is fixedly installed with a rearview mirror to be tested. Each rearview mirror corresponds to an independent light acquisition path, an independent electrical signal interface, and a corresponding warning channel. The interior of the chamber is a fully enclosed light-shielding structure to avoid interference from external stray light. Multi-angle fixed simulated light sources are set on the top and sides to uniformly simulate the high beam incident environment during vehicle driving. The chamber is equipped with a central industrial control computer main control unit for unified scheduling, triggering, acquisition, and analysis.

[0020] Reference Figure 1 A method for monitoring the aging of automotive rearview mirrors includes steps S1-S4, as detailed below: Step S1: Obtain the set of operating status sequences and response indicators corresponding to a monitoring sample when the anti-glare function is triggered.

[0021] It should be noted that, for a single EC vehicle rearview mirror under test, the sum of the set of operating status sequences and response indexes collected within the complete color-changing cycle from the moment the anti-glare function trigger signal is received until the moment the electrochromic response of the EC mirror body is completely stable is used to characterize the actual working state of the rearview mirror during a complete color-changing process.

[0022] For a single EC (electrochromic) rearview mirror under test, the box-type testing equipment initiates a single monitoring session upon receiving the anti-glare function trigger signal. A standard driving voltage or current is applied by the drive unit, causing ion migration in the EC mirror and initiating the electrochromic response process. Throughout the response, driving voltage timing sequence, driving current timing sequence, and transmittance timing data are synchronously collected at a fixed frequency, forming a set of operating state sequences. When the transmittance change rate at multiple consecutive points is below a threshold, the response is considered stable. For example, the equipment sampling frequency is 10Hz, and the preset threshold is 0.5%. When the single-step change rate at three consecutive adjacent sampling points is less than 0.5%, timing data acquisition stops, and the color-changing response time and driving voltage fluctuation rate are calculated. Simultaneously, the lens color difference value and coating adhesion value are detected, forming a set of response indicators. The number of judgment points can be adaptively adjusted according to the ambient temperature; five consecutive points are selected for slow ion migration at low temperatures, and two consecutive points are selected for rapid color-changing conditions at high temperatures. The set of operating state sequences and the set of response indicators are encapsulated to form a single monitoring sample for a single rearview mirror.

[0023] It should be noted that the transmittance is calculated as follows: extract the measured transmittance values ​​of the lens corresponding to two adjacent sampling times in the time series, calculate the absolute value of the transmittance difference between the two adjacent times, divide the absolute value by the transmittance of the previous sampling point, multiply by the percentage, and obtain the single-step change rate of transmittance corresponding to the current sampling interval.

[0024] Step S2: Construct a two-dimensional timing trajectory based on the driving signal timing and the optical response timing; calculate the spatial orientation consistency based on the directional distribution of displacement vectors in the two-dimensional timing trajectory; calculate the timing coupling consistency based on the cross-correlation coefficient and hysteresis order between the driving signal timing and the optical response timing.

[0025] To quantify the spatial variation of the coupling state between the driving signal and the optical response in the monitored sample and accurately capture the orderliness of ion migration during the electrochromic process of the EC lens, it is necessary to calculate the spatial orientation consistency of the monitored sample. The specific calculation process is as follows: For a single monitoring sample, all its sampling points are traversed, and the displacement vector between any two adjacent sampling points is calculated sequentially. This displacement vector is used to characterize the spatial change trend of the coupling state at adjacent time points. Its direction corresponds to the direction of change of the coupling state, and its magnitude corresponds to the magnitude of change of the coupling state, directly reflecting the instantaneous motion characteristics of ion migration in the EC mirror.

[0026] Each calculated displacement vector is converted into a polar angle. The value of the polar angle corresponds to the spatial direction of the displacement vector, which can intuitively quantify the directional change of the coupling state between adjacent sampling points, eliminate the interference of the magnitude of the displacement vector on the direction determination, and ensure the accuracy of subsequent direction statistics.

[0027] Based on the physical mechanism of electrochromic EC mirrors, a reasonable polar angle range is preset and divided into multiple equal angle intervals. Each angle interval corresponds to a type of coupling state change direction, achieving classification and statistical analysis of displacement vector directions. The polar angle range is... The EC rearview mirror relies on the ion migration of electrochromic materials to achieve light adjustment: the controller outputs a driving voltage to regulate ion insertion or extraction, thereby changing the optical transmittance of the lens. This is the general working mechanism of automotive electrochromic rearview mirrors. In this electrochemical circuit, the driving current is the circuit charge signal formed by the directional migration of ions; the faster the ion migration rate, the larger the circuit driving current.

[0028] The example uses 4 intervals with interval widths of 90°: 0°~90°, 90°~180°, 180°~270°, and 270°~360°. If the interval width is set too large, the single interval will cover a wide range of angles, causing displacement vectors in different directions to be mixed into the same interval. This will make it impossible to distinguish different types of state change directions, and the polar angle frequency histogram will lose its ability to distinguish, rendering subsequent spatial direction consistency calculations invalid. If the interval width is set too small or the number of intervals is too large, the angle division will be too fragmented. Due to random interference such as vehicle electromagnetic noise and mechanical vibration, the displacement vectors will be scattered in multiple small intervals, masking the concentrated characteristics of the vector distribution. The frequency histogram will not be able to stably show the statistically significant maximum frequency interval, and it will be unable to effectively characterize the orderliness of ion migration and dimming processes, which will also lead to calculation failure.

[0029] The number of displacement vectors within each angular interval is counted, and a polar frequency histogram is constructed based on this statistical result. The polar frequency histogram can clearly show the distribution of displacement vectors in different directions. If the frequency of a certain angular interval in the histogram is significantly higher than that of other intervals, it indicates that the direction of coupling state change is concentrated, corresponding to an orderly ion migration process; conversely, it indicates that the direction is dispersed, and there is anomaly in ion migration.

[0030] The ratio of the maximum frequency appearing in the polar frequency histogram to the total number of displacement vectors of the monitored sample is used to calculate the spatial orientation consistency of the monitored sample. The range of values ​​for spatial orientation consistency is... The closer the ratio is to 1, the more concentrated the direction of the coupling state change is, the more continuous and orderly the ion migration process is, and the more the electrochromic process of the EC mirror conforms to normal physical laws; the closer the ratio is to 0, the more dispersed the direction of the coupling state change is, the more disordered the ion migration process is, and it may be affected by external interference or abnormal aging of the mirror.

[0031] To accurately characterize the timing matching relationship between the driving signal and the optical response, and to verify whether they follow the inherent physical mechanism of current-driven and lag-following optical response in the electrochromic process of the EC lens, this technique sets a timing coupling consistency feature, the specific calculation method of which is as follows: For the normalized time-series data of the driving signal and the optical response within the monitoring sample, the cross-correlation function between them is calculated. Through this cross-correlation function, the maximum cross-correlation coefficient characterizing the degree of correlation between the driving signal and the optical response is obtained, and the optimal hysteresis order corresponding to the maximum cross-correlation coefficient is determined.

[0032] The timing validity judgment rule is constructed based on the optimal lag order: if the optimal lag order is positive, it indicates that the change time of the driving signal precedes the change time of the optical response, and the timing relationship between the two conforms to the physical logic of the normal operation of the EC mirror. In this case, the maximum cross-correlation coefficient is directly used as the timing coupling consistency of the monitoring sample; if the optimal lag order is less than or equal to zero, it indicates that the timing relationship between the driving signal and the optical response is abnormal and does not meet the normal driving response mechanism. In this case, the timing coupling consistency is set to zero.

[0033] By using the above method, only the valid coupling characteristics of the timing logic are retained, so that the timing coupling consistency can truly and reliably reflect the synchronization and causal relationship between the driving signal and the optical response.

[0034] Step S3: Divide the driving signal into numerical intervals to obtain multiple driving signal numerical intervals and assign driving signal state levels. Divide the optical response time sequence into numerical intervals to obtain multiple optical response numerical intervals and assign optical response state levels. Combine the driving signal state level and optical response state level at the same time to generate coupled states at each time. Form a coupled state sequence according to the time sequence. Determine the state transition distance based on the state differences between coupled states. Construct state transition distance weights based on the state transition distances. Calculate state transition features based on the state transition distance weights.

[0035] To reduce the computational complexity of high-dimensional time-series data while accurately depicting the synergistic relationship between the driving signal and the optical response during their changes, it is necessary to discretize the monitoring data and construct a coupled state sequence. The specific implementation method is as follows: Based on the system accuracy requirements and the physical characteristics of electrochromic changes in the mirror body caused by the state-weighted transfer entropy (EC), the normalized driving signal is divided into numerical intervals. According to the preset graded accuracy, its entire value range is divided into multiple non-overlapping numerical intervals, and a corresponding driving signal state level is assigned to each driving signal numerical interval, realizing the mapping from continuous driving signal to discrete state. Correspondingly, the normalized optical response time series is divided into numerical intervals in the same way, dividing the overall value range into multiple corresponding number of numerical intervals, and assigning a corresponding optical response state level to each optical response numerical interval, thereby completing the discretization representation of the optical response time series.

[0036] For example, based on the typical operating state of the EC rearview mirror electrochromic system, the normalized drive signal and optical response timing are uniformly divided into 5 state levels. The number of levels corresponds one-to-one with the typical operating conditions of the lens in the actual dimming process, taking into account both computational efficiency and operating condition differentiation. The normalized value ranges are as follows: , , , , .

[0037] For each moment in the time sequence, the state level of the driving signal at that moment is combined with the state level of the optical response to form a joint state pair that can simultaneously reflect the states of both, denoted as . ,in, The coupled state pair is defined as the coupled state at the current moment.

[0038] According to the time sequence of the monitored samples, the coupling state corresponding to each moment is determined in turn. The coupling states at all moments are arranged in order to form a complete coupling state sequence. This sequence is used to characterize the overall state evolution path of the state-weighted transfer entropy (EC) mirror in the electrochromic process, which is driven by the signal and the optical response.

[0039] To quantify the degree of orderliness in the transitions of the coupled state sequence and identify whether there are interference features such as abrupt state changes or abnormal jumps in the electrochromic process of the mirror, the state-weighted transition entropy (EC) is calculated based on the coupled state sequence. The specific steps are as follows: Based on the constructed sequence of coupled states, the transition frequency between adjacent coupled states is traversed and counted. A state transition probability matrix is ​​constructed based on this frequency distribution, thereby obtaining the probability of any coupled state transitioning to other coupled states, which reflects the frequency of transitions between different coupled states.

[0040] The driving signal level and optical response level corresponding to any two coupled states are mapped to state coordinates in a two-dimensional plane. The Euclidean distance between the two sets of state coordinates is calculated to characterize the proximity of the two coupled states in the physical change space. Based on the Euclidean distance, a physical proximity weight is constructed to distinguish between normal proximity transitions and abnormal long-distance jumps.

[0041] Specifically, the physical proximity weights satisfy the following relationship: ; in, Indicates coupling state and coupling state Physical proximity weights; Indicates coupling state and coupling state The Euclidean distance between them; This represents the distance coefficient. For example, the distance coefficient is set to 0.2, but it can be adjusted according to specific circumstances to regulate the effect of Euclidean distance.

[0042] It should be noted that the coupling state is composed of a combination of the driving signal state level and the optical response state level. When the number of state levels is... When, the maximum Euclidean distance in the state space is To ensure the weight function maintains reasonable discriminative power throughout the state space, the distance coefficient... The value must be related to the number of state levels. To match, an example rule is set as follows: When the state level number , This allows for a smoother decay of weights during short-step transitions in normal dimming, while amplifying the weights of long-step transitions caused by aging or disturbances. It should also be noted that, to ensure the weight function maintains reasonable discriminative power throughout the state space, the inflection point of the sigmoid function should be set near the typical state distance in the state space. When the state transition distance reaches the maximum distance The weight value is When the transition state distance is 0, the weight value is: The weight value is close to 0.5, and the change is gradual. It will not over-amplify the contribution of normal small fluctuations and avoid misjudgment. The weight value rises to about 0.76, which can effectively highlight the contribution of abnormal transfer. This is in line with the design goal of this scheme to amplify abnormal jump features and improve the sensitivity of aging identification.

[0043] By using physical proximity weights to adjust the original state transition probabilities, a weighted transition probability that better reflects the physical change law of the mirror body of the state weighted transition entropy EC is obtained, thus effectively highlighting the contribution of long-distance anomalous jumps.

[0044] Specifically, the weighted transition probabilities satisfy the following relationship: ; in, Indicates coupling state and coupling state The weighted transition probability; Indicates coupling state and coupling state The transition probability; Indicates coupling state and coupling state Physical proximity weights; This represents the total number of coupled states.

[0045] Based on the weighted transition probability, the state weighted transition entropy is calculated using the Shannon entropy formula. This state weighted transition entropy is used as a state transition characteristic to characterize the degree of orderliness of state transitions. The magnitude of the entropy value directly reflects the disorder and abnormality of state transitions.

[0046] Step S4: The directional consistency feature, temporal coupling consistency, and state transition feature are fused and calculated to obtain the credibility of the monitoring sample. Based on the credibility, multiple monitoring samples are weighted and fused, and the aging level of the endoscope is determined based on the weighted fusion result.

[0047] To comprehensively evaluate the data validity of the monitoring samples and distinguish between true aging characteristics and false aging characteristics caused by interference, the three features extracted above—spatial orientation consistency, temporal coupling consistency, and state-weighted transition entropy—are fused and calculated to obtain the credibility of the monitoring samples.

[0048] Specifically, the credibility satisfies the following relationship: ; In the formula, Indicates the credibility of the target sample; Indicates the spatial orientation consistency of the target samples, with a value range of... ; Indicates the temporal coupling consistency of the target sample, with a value range of... ; This represents the state-weighted transition entropy of the target sample after normalization, with a value range of... .

[0049] The state-weighted transition entropy is normalized by comparing it with the theoretical maximum value of the state-weighted transition entropy. All are dimensionless indicators, and the range of values ​​for the reliability of the obtained target samples is... .

[0050] Among them, spatial orientation consistency is used to characterize the degree of concentration and order of the state change trajectory, temporal coupling consistency is used to characterize the degree of temporal matching between the driving signal and the optical response, and state weighted transition entropy is used to characterize the degree of disorder and jump in the state transition process.

[0051] The above three features are fused and calculated according to preset rules. The credibility value is positively correlated with the consistency of spatial direction and the consistency of temporal coupling, and negatively correlated with the state weighted transition entropy. Finally, the credibility value can objectively reflect the true and reliable degree of monitoring data.

[0052] To accurately obtain the true aging condition of automotive rearview mirrors, filter out interfering data from aging assessments, and achieve scientific grading and accurate early warning of aging levels, a comprehensive assessment of aging status is conducted based on the reliability and response indicators of the monitoring samples. The specific steps are as follows: The set of response indicators (including lens color difference value, coating adhesion value, response time, and driving voltage fluctuation rate) corresponding to each monitoring sample is retrieved. Combined with the calculated credibility of each monitoring sample, the response indicators are normalized and weighted. The monitoring sample with higher credibility has a larger weight for its corresponding response indicator, so as to retain the effective contribution of real aging data and filter out false aging interference data. Based on the assigned weights, a weighted summation calculation is performed on each response indicator to finally obtain the fused true value of each response indicator. The fused true value can objectively and accurately reflect the actual state of various performance aspects of the vehicle rearview mirror.

[0053] Pre-calibrate the standard values ​​of various response indicators for brand new, unaged automotive rearview mirrors. These standard values ​​are determined based on the factory's measured rated performance parameters and can be industry-standard calibration values ​​or factory-calibrated benchmark values. These values ​​serve as the basis for judging the degree of aging and degradation of the rearview mirror. Calculate the relative deviation between the fused true value of each response indicator and its corresponding standard value. The magnitude of the relative deviation directly quantifies the degree of aging and degradation of each indicator. The greater the deviation, the more severe the performance aging of the corresponding indicator and the more significant the performance gap with a brand new rearview mirror.

[0054] Based on the preset aging judgment rules and combined with the relative deviation of various response indicators, the real-time aging status of vehicle rearview mirrors is comprehensively divided into four levels: normal state, slight aging, moderate aging, and severe aging.

[0055] For example, the specific standards are as follows: Normal condition: The relative deviation of all response indicators does not exceed the preset standard range, indicating that the rearview mirror has no obvious signs of aging, and the performance of the mirror is consistent with that of a brand new mirror, which can meet the needs of normal driving use; Slight aging: Only the relative deviation of a single response indicator exceeds the preset standard range by less than 5%, while all other response indicators are within the preset standard range. This indicates that the mirror performance has not significantly deteriorated and will not affect the normal anti-glare function of the rearview mirror or driving safety. Only continuous monitoring of the rearview mirror is required, and no additional maintenance is needed. Moderate aging: The relative deviation of a single response indicator exceeds the preset standard range by 5%-15%, or the relative deviation of two or more response indicators exceeds the preset standard range by less than 5%, indicating that the performance of the mirror body and drive circuit has slightly degraded and the anti-glare response efficiency of the rearview mirror has slightly decreased. At this time, a performance reminder signal needs to be sent to the vehicle terminal to remind the user to pay attention to the status of the rearview mirror. Severe aging: If the relative deviation of a single response indicator exceeds the preset standard range by more than 15%, or if the relative deviation of two or more response indicators exceeds the preset standard range by 5%-15%, it indicates that the lens body has yellowing, coating peeling, etc., and the response is slow, the drive circuit fluctuates violently, the lens body performance is severely degraded, and there is a driving safety hazard. At this time, an emergency warning signal should be sent to the vehicle terminal and the corresponding aging and failure parts should be marked to remind the user to replace them in time to ensure driving safety.

[0056] The preset standard range is established based on industry-standard specifications and the factory calibration values ​​of brand-new mirror bodies, creating preset standard ranges and benchmark values ​​for each response indicator. The preset standard range prioritizes the industry-standard technical requirements for automotive EC rearview mirrors. For indicators without direct industry standards, the factory calibration values ​​of brand-new mirror bodies of the same model under standard testing conditions are used as benchmarks. The calibration method for the benchmark values ​​of brand-new mirrors is as follows: 10 brand-new, qualified EC rearview mirrors from the same batch are selected and tested under standard testing conditions, such as temperature... ,humidity The following steps are performed: each indicator is tested three times, and the average value is taken as the standard value for a brand new lens of the corresponding model. Based on this, the aging state of the lens is divided into four levels according to the relative deviation of each response indicator: normal, slightly aged, moderately aged, and severely aged.

[0057] This invention also provides an aging monitoring system for automotive rearview mirrors. For example... Figure 2 As shown, the system includes a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement a method for monitoring the aging of a vehicle rearview mirror according to the first aspect of the present invention. The system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, the settings and functions of which are known in the art and will not be described further here.

[0058] It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of this invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for monitoring the aging of a vehicle rearview mirror, characterized in that, include: When the anti-glare function of the rearview mirror is triggered, the driving signal timing and optical response timing of the rearview mirror are acquired, and a monitoring sample is constructed using the driving signal timing and optical response timing. A two-dimensional timing trajectory is constructed based on the driving signal timing and the optical response timing. Spatial orientation consistency is calculated based on the directional distribution of displacement vectors in the two-dimensional timing trajectory. Timing coupling consistency is calculated based on the cross-correlation coefficient and hysteresis order between the driving signal timing and the optical response timing. The driving signal is divided into numerical intervals to obtain multiple driving signal numerical intervals, and driving signal state levels are assigned. The optical response time sequence is also divided into numerical intervals to obtain multiple optical response numerical intervals, and optical response state levels are assigned. The driving signal state level and optical response state level at the same time are combined to generate the coupled state at each time. The coupled state sequence is formed according to the time sequence. The state transition distance is determined according to the state difference between the coupled states. The state transition distance weight is constructed according to the state transition distance. The state transition feature is calculated based on the state transition distance weight. The reliability of the monitoring samples is obtained by fusing the directional consistency feature, temporal coupling consistency, and state transition feature. Based on the reliability, multiple monitoring samples are weighted and fused, and the aging level of the endoscope is determined based on the weighted fusion result.

2. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The calculation steps for the spatial orientation consistency are as follows: Calculate the displacement vector between adjacent sample points within the monitoring sample, convert the displacement vector into polar angle, divide multiple angle intervals according to the preset polar angle range, count the number of displacement vectors in each polar angle interval to construct a polar angle frequency histogram, and use the ratio of the maximum frequency in the polar angle frequency histogram to the total number of displacement vectors as the spatial direction consistency.

3. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The calculation steps for the temporal coupling consistency are as follows: Calculate the cross-correlation function between the normalized driving signal timing and the optical response timing in the monitoring sample, and obtain the maximum cross-correlation coefficient and the corresponding optimal hysteresis order; An indicator function is constructed based on the optimal lag order. If the optimal lag order is positive, the maximum cross-correlation coefficient is taken as the temporal coupling characteristic. Otherwise, if the optimal lag order is less than or equal to zero, the temporal coupling characteristic is set to zero. This ensures that the temporal coupling characteristic is a non-zero effective value when the change in the driving signal precedes the change in the optical response.

4. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The steps for obtaining the coupling state sequence include: The number of state levels for the driving signal and the optical response are preset respectively, and the state levels for the driving signal and the optical response are divided at equal intervals to obtain the numerical range corresponding to each state level. The driving signal state level and the optical response state level at the same moment are combined into a state pair as the corresponding coupling state at the moment. The coupling state at each moment is determined sequentially according to the time sequence to form a coupling state sequence.

5. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The calculation steps for the state transition characteristics include: By statistically analyzing the transition frequencies of adjacent coupled states in the coupled state sequence, a state transition probability matrix is ​​constructed to obtain the transition probability of any coupled state transitioning to other coupled states. Determine the state coordinates based on the driving signal level and optical response level corresponding to any two coupling states, calculate the Euclidean distance between the coordinates and construct the physical proximity weight accordingly. The state transition probabilities are weighted using physical proximity weights to obtain weighted transition probabilities. Based on these weighted transition probabilities, the state weighted transition entropy is calculated using the Shannon entropy formula to obtain the state transition features.

6. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The steps for calculating the reliability of the monitored samples are as follows: The spatial orientation consistency, temporal coupling consistency, and state-weighted transition entropy of the monitoring samples are fused and calculated using a preset formula. The credibility is positively correlated with the spatial orientation consistency and temporal coupling consistency, and negatively correlated with the state-weighted transition entropy. The fusion yields the credibility of the monitoring samples.

7. The method for monitoring the aging of a vehicle rearview mirror according to claim 1, characterized in that, The steps for determining the aging level of the rearview mirror are as follows: Based on the credibility of the response indicator set corresponding to each monitoring sample, normalized weight allocation is performed on each response indicator, and the fused true value of each response indicator is obtained by weighted summation. Pre-calibrate the standard values ​​of various response indicators of the new automotive rearview mirror, calculate the relative deviation between the fused real value of each response indicator and the corresponding standard value, and quantify the degree of aging and decay of the indicator by measuring the relative deviation. Based on the preset judgment rules and the relative deviation of various indicators, the aging status of vehicle rearview mirrors is comprehensively divided into four levels: normal, slightly aged, moderately aged, and severely aged.

8. A vehicle rearview mirror aging monitoring system, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the vehicle rearview mirror aging monitoring method according to any one of claims 1-7.

Images