Vehicle window glass breakage detection method, system, vehicle, and computer program product

Abstract

The application provides a vehicle window glass damage detection method, a conductive grid for heating is integrated in the vehicle window glass, the method comprises the following steps: applying a preliminary detection excitation signal to the conductive grid and collecting a corresponding first electrical response; extracting discrimination feature data based on the first electrical response, and determining whether a damage event occurs according to the comparison between the discrimination feature data and a reference baseline; and in the case of determining that the damage event occurs, extracting positioning feature data based on the second electrical response of the conductive grid to a time-varying detection excitation signal, and determining the position of a damage area on the vehicle window glass according to the positioning feature data and a pre-established damage area-feature data corresponding relationship. According to the embodiment of the application, the reliability of the damage detection of the vehicle window glass, especially the rear windshield, can be improved, the damage area can be positioned to facilitate evidence collection and repair, and the cost is low and easy to integrate into the existing vehicle. The application also provides a corresponding vehicle window glass damage detection system and vehicle.

Description

Technical Field

[0001] This invention relates to the field of vehicle safety technology, and in particular to a method, system, vehicle, and computer program product for detecting damage to vehicle windows. Background Technology

[0002] In cases of unauthorized vehicle intrusion, smashing the rear windshield or side window to force entry is a common tactic. Therefore, timely and accurate detection of window damage and provision of information on the location of the damage are crucial for vehicle security.

[0003] Existing glass breakage detection solutions mainly include the following three categories.

[0004] One approach is acoustic detection, which uses a microphone to identify the low-frequency impact signal from a glass impact and the high-frequency acoustic signal from glass breakage. This typically employs dual acoustic or dual-technology methods to reduce false alarm rates. However, this approach is highly sensitive to sensor installation location, ambient noise, and obstructions such as curtains. Furthermore, in the case of a rear windshield, the acoustic propagation path is complex, and factors such as noise interference, sound wave reflection, and attenuation reduce identification stability and make it difficult to provide information on the location of the damage.

[0005] The second method is the conductive pattern breakage detection scheme, which involves laying dedicated conductive traces on the glass and determining whether the glass is broken by detecting changes in the voltage or resistance of the traces. This scheme usually requires additional wiring or the design of dedicated conductive patterns, resulting in additional burdens such as increased processes, higher costs, and durability verification.

[0006] Thirdly, there are plug-and-play glass breakage detection modules, which are usually powered and armed through the OBD interface. They are easy to install, but are more suitable for aftermarket or retrofit scenarios. Their ability to integrate deeply with the original vehicle structure is limited, and their ability to locate the damaged area of ​​the rear windshield is also insufficient.

[0007] It is evident that existing solutions, especially in the scenario of rear windshield damage detection, have limitations to varying degrees. There is still a lack of a detection solution that can fully utilize the existing structural features of the vehicle window glass, is cost-effective, has a low false alarm rate, and has the ability to output the location of the damage. Summary of the Invention

[0008] The purpose of this invention is to provide a method for detecting damage to vehicle window glass, a system for detecting damage to vehicle window glass, a vehicle, and a computer program product, so as to at least partially solve various technical problems existing in the prior art.

[0009] According to a first aspect of the present invention, a method for detecting damage to vehicle window glass is provided, wherein the vehicle window glass integrates a heating conductive grid, the method comprising: An initial detection excitation signal is applied to the conductive grid, and the corresponding first electrical response is acquired; Based on the first electrical response, discriminative feature data is extracted, and a comparison between the discriminative feature data and a reference baseline is used to determine whether a destructive event has occurred; and In the event of a damage incident, location feature data is extracted based on the second electrical response of the time-varying detection excitation signal to the conductive grid. The location of the damage area on the vehicle window is determined according to the location feature data and the pre-established correspondence between the damage area and feature data.

[0010] In an exemplary embodiment, the preliminary detection excitation signal is a DC signal or a single-frequency AC signal, or the preliminary detection excitation signal and the time-varying detection excitation signal are the same signal.

[0011] In one exemplary embodiment, the time-varying detection excitation signal includes at least one of a pulse excitation signal and a multi-frequency excitation signal.

[0012] In one exemplary embodiment, the discrimination feature data includes at least one of equivalent resistance, equivalent resistance change rate, equivalent impedance, impedance magnitude, or impedance phase.

[0013] In one exemplary embodiment, the positioning feature data includes at least one of frequency response parameters and time domain response parameters.

[0014] In an exemplary embodiment, the correspondence between the damaged area and the feature data is established in advance through the following steps: Damage states were simulated for different predetermined regions of the conductive grid; In each simulated destruction state, a time-varying detection excitation signal is applied to the conductive grid, the electrical response is acquired, and feature data suitable for locating a predetermined region is extracted; and Each predetermined region is associated with and stored with its corresponding feature data to form the correspondence between the damaged region and the feature data.

[0015] In one exemplary embodiment, the reference baseline is adaptively updated based on historical electrical response data of the conductive grid under normal conditions.

[0016] In one exemplary embodiment, the damage detection is performed while the vehicle is in a armed state with the engine off.

[0017] In one exemplary embodiment, during defrosting heating operations of the vehicle using the conductive grid, the application frequency of the time-varying detection excitation signal is reduced or the application of the time-varying detection excitation signal is paused.

[0018] In one exemplary embodiment, after determining that a sabotage event has occurred, a confirmation time window is opened, and at least one auxiliary confirmation signal is collected within the confirmation time window to extract auxiliary confirmation features. If a sabotage event is further determined based on the auxiliary confirmation features, the sabotage event is confirmed to have occurred.

[0019] In one exemplary embodiment, the auxiliary confirmation signal includes in-vehicle acoustic signals, vehicle body vibration signals, and / or image signals, and the auxiliary confirmation features include low-frequency impact features, high-frequency breakage features, vehicle body impact vibration features, and / or breakage image features.

[0020] According to a second aspect of the present invention, a computer program product, particularly a computer-readable program carrier, is provided, the computer program product including or storing computer program instructions, which, when executed by a processor, enable the processor to at least assist in performing the method described in any embodiment of the first aspect of the present invention.

[0021] According to a third aspect of the present invention, a vehicle window glass breakage detection system is provided, comprising: A controller includes a memory and a processor, the memory storing computer program instructions that, when executed by the processor, enable the processor to at least assist in performing the method described in any embodiment of the first aspect of the present invention; A diagnostic branch connected in parallel with the conductive grid is configured to apply the preliminary detection excitation signal and / or the time-varying detection excitation signal to the conductive grid and acquire the electrical response, wherein the diagnostic branch is isolated from the conductive grid by a high-impedance isolation device. An auxiliary confirmation unit, configured to assist in determining the occurrence of a destructive event; and An alarm output unit is configured to directly output or push alarm information containing area information to a remote server or user terminal via a wireless communication interface.

[0022] According to a fourth aspect of the present invention, a vehicle is provided, comprising: a window glass, particularly a rear windshield, having an integrated heating conductive grid; and a window glass damage detection system according to a third aspect of the present invention.

[0023] The beneficial effects of the present invention according to the above aspects are that, by using a conductive grid integrated into the vehicle window glass, especially the rear windshield, for electrical damage detection, the influence of environmental noise can be overcome, the reliability of damage detection of vehicle window glass, especially the rear windshield, can be improved, the false alarm rate can be reduced, and the damaged area can be located for evidence collection and repair. Furthermore, it is cost-effective and easily integrated into existing vehicles. According to some embodiments, multimodal verification of damage can also be performed, further reducing the false alarm rate, and supporting remote alarms, event logging, and other operations. Attached Figure Description

[0024] The invention will now be described in more detail with reference to the accompanying drawings, which will provide a better understanding of its principles, features, and advantages. The drawings include: Figure 1 A flowchart illustrating the main steps of a vehicle window glass breakage detection method according to an exemplary embodiment of the present invention is shown schematically. Figure 2 An example illustrating the correspondence between damaged areas and feature data is shown. Figure 3 A flowchart illustrating the main steps of pre-establishing the correspondence between damaged areas and feature data is shown. Figure 4 A flowchart illustrating the main steps of a vehicle window glass breakage detection method according to an exemplary embodiment of the present invention is shown schematically, wherein an auxiliary verification step is additionally included; and Figure 5 A vehicle window glass breakage detection system according to an exemplary embodiment of the present invention is illustrated schematically. Detailed Implementation

[0025] To make the technical problems to be solved, the technical solutions, and the beneficial technical effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and several exemplary embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of protection of this invention.

[0026] Figure 1 A flowchart illustrating the main steps of a vehicle window glass damage detection method according to an exemplary embodiment of the present invention is shown. The vehicle window glass damage detection method according to this embodiment mainly utilizes a heating conductive grid integrated into the vehicle window glass itself for damage detection, thus avoiding interference problems such as environmental noise encountered when using acoustic detection alone, as well as the additional wiring problems of traditional electrical detection. Figure 1 As shown, the vehicle window glass damage detection method according to an exemplary embodiment of the present invention mainly includes the following steps: S1: Apply a preliminary detection excitation signal to the conductive grid and acquire the corresponding first electrical response; S2: Extract discriminative feature data based on the first electrical response, and determine whether a destructive event has occurred based on a comparison of the discriminative feature data with a reference baseline; and S3: In the event of a damage event, the location feature data is extracted based on the second electrical response of the time-varying detection excitation signal to the conductive grid, and the location of the damage area on the vehicle window glass is determined according to the location feature data and the pre-established correspondence between the damage area and feature data.

[0027] In step S1, the preliminary detection excitation signal is preferably a small-amplitude DC signal or a single-frequency AC signal, thereby enabling low-power diagnosis of damage to the conductive grid. Correspondingly, the acquired first electrical response includes the response voltage and response current. Alternatively, the preliminary detection excitation signal can be the time-varying detection excitation signal used in subsequent step S3. In this case, the first electrical response is the second electrical response described in subsequent step S3, allowing for the extraction of discrimination and location feature data based on a single acquired electrical response without the need for secondary excitation. The time-varying detection excitation signal preferably includes at least one of a pulse excitation signal and a multi-frequency excitation signal. The pulse excitation signal can take the form of a step voltage pulse, a rectangular voltage pulse, or a unidirectional square wave pulse; the acquired electrical response is a time-domain electrical response, including, for example, the time-domain waveform of the response voltage and the time-domain waveform of the response current. The multi-frequency excitation signal can take the form of discrete multi-frequency excitation and composite multi-frequency excitation; the acquired electrical response is a frequency-domain electrical response, including, for example, the frequency-domain response characteristic curve, the response voltage amplitude at different frequencies, and the response current amplitude.

[0028] In step S2, firstly, discrimination feature data for determining whether the conductive grid has been damaged (typically, broken) is extracted based on the acquired first electrical response. When the initial detection excitation signal is a small-amplitude DC signal or a single-frequency AC signal, the discrimination feature data includes at least one of equivalent resistance, equivalent resistance change rate, equivalent impedance, impedance amplitude, or impedance phase. When the initial detection excitation signal is a time-varying detection excitation signal, the discrimination feature data may include at least one of time-domain response parameters and frequency response parameters, depending on the one or more time-varying detection excitation signals used. Time-domain response parameters include, for example, pulse response rise time, pulse response decay time, pulse response reflection delay, pulse steady-state voltage value, pulse steady-state current value, response waveform peak value, waveform oscillation convergence time, and pulse steady-state equivalent resistance; frequency response parameters include, for example, equivalent resistance, impedance amplitude, impedance phase, equivalent resistance change rate, and impedance amplitude change rate at different frequencies. Then, the discrimination feature data is compared with a reference baseline to determine whether a damage event has occurred.

[0029] The reference baseline can be a pre-calibrated reference value for the various discrimination feature data used when the window glass or conductive grid is in a normal state. When the deviation between the discrimination feature data and the reference baseline exceeds a preset threshold, it can be determined that the conductive grid is abnormal or broken.

[0030] In a preferred embodiment, the reference baseline can also be adaptively updated based on historical electrical response data of the conductive grid under normal conditions. That is, the reference baseline is continuously updated during use over time, so that the updated reference baseline can automatically adapt to electrical characteristic drift caused by factors such as temperature changes and conductive grid aging, rather than remaining at a fixed value, thereby reducing the possibility of false measurements.

[0031] In step S3, if a damage event is determined to have occurred, and if the discrimination feature data itself is sufficient for locating the damaged area (i.e., the initial detection excitation signal and the time-varying detection excitation signal are the same signal), the position of the damaged area on the vehicle window glass can be determined based on the extracted discrimination feature data and the pre-established correspondence between the damaged area and the feature data. If the discrimination feature data is insufficient for accurately locating the damaged area, or if it is necessary to additionally or alternatively use different feature data to locate the damaged area, positioning feature data suitable for locating the predetermined area can be extracted based on the second electrical response of the conductive grid to the time-varying detection excitation signal. Then, the position of the damaged area on the vehicle window glass can be determined based on the discrimination feature data and / or the positioning feature data and the pre-established correspondence between the damaged area and the feature data. Similarly, depending on the one or more time-varying detection excitation signals used, the positioning feature data may also include at least one of the aforementioned time-domain response parameters and frequency response parameters. It is understood that when the initial detection excitation signal is a small-amplitude DC signal or a single-frequency AC signal, the time-varying detection excitation signal needs to be reapplied in step S3. Furthermore, it can be understood that when only discriminative feature data is used to locate the damaged area, the discriminative feature data itself is used as the location feature data. Therefore, in the following description, "location feature data" will be used to describe the steps for locating the damaged area.

[0032] More specifically, when a fracture occurs at different locations within the conductive grid, the number and length of branches capable of electrical conduction within the grid will differ, resulting in different second electrical responses acquired after applying a time-varying detection excitation signal. For example, in two different damage regions—one near the excitation signal application point and the other far from it—the acquired second electrical responses and the further extracted location feature data will differ from each other.

[0033] Figure 2 This schematically illustrates an example of the correspondence between damaged areas and feature data. Figure 2 In this example, taking the time-varying detection excitation signal as a step voltage pulse excitation signal, the acquired second electrical response is the voltage time-domain response waveform, the positioning feature data is the pulse response reflection delay, the vertical axis is the voltage value v in the steady-state pulse range, and the horizontal axis is time t; waveform a represents the case where the conductive grid is in a normal or undamaged state, waveform b represents the case where the breakage position is close to the application end of the excitation signal, and waveform c represents the case where the breakage position is far from the application end of the excitation signal. Figure 2 It is evident that when the pulse response reflection delay is small (waveform b), the fracture point can be determined to be close to the application end of the excitation signal; while when the pulse response reflection delay is large but smaller than the delay under normal conditions (waveform c), the fracture point can be determined to be far from the application end of the excitation signal. Furthermore, by comparing waveforms b and c with waveform a, the specific distance of the fracture point from the application end can be determined, thereby achieving the localization of the damaged area. Of course, Figure 2 This is only a simplified example of the location of the damaged area; any suitable one or more location feature data can be used as needed.

[0034] Figure 3 A flowchart illustrating the main steps involved in pre-establishing the correspondence between damaged areas and feature data is shown. Figure 3 As shown, the process of pre-establishing the correspondence between damaged areas and feature data mainly includes: S30: Simulate damage states for different predetermined areas of the conductive grid, such as breakage, short circuit, or poor contact in different areas; S32: Under each simulated failure state, a time-varying detection excitation signal is applied to the conductive grid, the electrical response is acquired, and feature data suitable for locating a predetermined region is extracted; and S34: Associate and store each predetermined area with its corresponding feature data to form a correspondence between the damaged area and the feature data.

[0035] In practical use, by matching the extracted location feature data with the established correspondence between the damaged area and the feature data, it is possible to at least roughly determine that the damaged area is located at the corresponding position of the conductive grid.

[0036] In a preferred embodiment, to avoid affecting the defrosting and heating function of the conductive grid itself, and also to reduce interference from the large heating current on the detection signal, the aforementioned destructive detection is performed while the vehicle is in a powered-off state. Alternatively or additionally, during the defrosting and heating operation of the window glass using the conductive grid, the application frequency of the time-varying detection excitation signal can be reduced or the application of the time-varying detection excitation signal can be suspended.

[0037] In a preferred embodiment, the vehicle window glass damage detection method according to the present invention further includes an auxiliary confirmation step. Figure 4 A flowchart illustrating the main steps of a vehicle window glass breakage detection method, additionally including an auxiliary verification step S2', is shown schematically. Steps S1, S2, and S3 are identical to their corresponding steps described above. Figure 4 As shown, after initially determining that a sabotage event has occurred based on the discrimination feature data in step S2, the process proceeds to step S2'. In step S2', a confirmation time window is opened, and appropriate sensor data is read within the confirmation time window to collect at least one auxiliary confirmation signal and extract auxiliary confirmation features. Based on the auxiliary confirmation features, it is further determined whether a sabotage event has occurred. If a sabotage event is determined to have occurred again, it is confirmed that a sabotage event has occurred, and then the process proceeds to step S3.

[0038] Here, sensors may include microphones or other acoustic sensors, vibration sensors, cameras, etc. Auxiliary confirmation signals may include in-vehicle acoustic signals, vehicle body vibration signals, and / or image signals. Corresponding auxiliary confirmation features include low-frequency impact features, high-frequency breakage features, vehicle body impact vibration features, and / or crack patterns or fragment distribution features of the broken glass identified through image processing. In other words, one or more existing technologies can be used to assist in determining whether the vehicle window glass has been damaged, thereby further reducing the false detection rate through multimodal confirmation.

[0039] Finally, after confirming that the window glass has been damaged and determining the location of the damaged area on the window glass, an alarm output can be triggered, such as honking the horn, flashing the hazard lights, receiving a vehicle-mounted alert, or sending a remote notification. The damage event will also be recorded, including information such as a timestamp and the location of the damaged area.

[0040] The present invention also provides a vehicle window glass damage detection system 10. Figure 5 A vehicle window glass breakage detection system 10 according to an exemplary embodiment of the present invention is illustrated schematically. Figure 5As shown, the vehicle window glass breakage detection system 10 includes: a controller 1, which includes a memory and a processor. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the processor can at least assist in executing the vehicle window glass breakage detection method according to any embodiment of the present invention; a diagnostic branch 2 connected in parallel with a conductive grid (integrated within the vehicle window glass 100), which is configured to apply various detection excitation signals to the conductive grid and acquire corresponding electrical responses. The diagnostic branch 2 is isolated from the conductive grid by a high-impedance isolation device (not shown) to prevent the large current used during the defrosting heating process from entering the diagnostic branch 2, protecting the diagnostic circuit 2, and also preventing the diagnostic branch 2 from affecting the current distribution and defrosting effect of the heating circuit; an auxiliary confirmation unit 3, which is configured to assist in determining the occurrence of a breakage event; and an alarm output unit 4, which is configured to directly output or push alarm information containing area information to a remote server or user terminal via a wireless communication interface. In addition, the controller 1 can also be communicatively connected to the defrosting heating power supply circuit 5 to coordinate the vehicle window glass breakage detection with the defrosting heating process.

[0041] The present invention also provides a computer program product, particularly a computer-readable program carrier, the computer program product including or storing computer program instructions, which, when executed by a processor, enable the processor to at least assist in executing a vehicle window glass breakage detection method according to any embodiment of the present invention.

[0042] The present invention also provides a vehicle including a window glass 100, particularly a rear windshield, with an integrated heating conductive grid; and a window glass damage detection system 10 according to an embodiment of the present invention.

[0043] Although specific embodiments of the invention have been described in detail herein, they are given for illustrative purposes only and should not be construed as limiting the scope of the invention. Various substitutions, alterations, and modifications can be conceived without departing from the spirit and scope of the invention.

Claims

1. A method for detecting damage to vehicle window glass, wherein the vehicle window glass integrates a heating conductive grid, the method comprising: An initial detection excitation signal is applied to the conductive grid, and the corresponding first electrical response is acquired; Based on the first electrical response, discriminative feature data is extracted, and a determination is made as to whether a destructive event has occurred based on the comparison of the discriminative feature data with the reference baseline. and In the event of a damage incident, location feature data is extracted based on the second electrical response of the time-varying detection excitation signal to the conductive grid. The location of the damage area on the vehicle window is determined according to the location feature data and the pre-established correspondence between the damage area and feature data.

2. The method for detecting damage to vehicle window glass according to claim 1, wherein, The preliminary detection excitation signal is a DC signal or a single-frequency AC signal, or the preliminary detection excitation signal and the time-varying detection excitation signal are the same signal; The time-varying detection excitation signal includes at least one of a pulse excitation signal and a multi-frequency excitation signal; The discrimination feature data includes at least one of equivalent resistance, equivalent resistance change rate, equivalent impedance, impedance magnitude, or impedance phase; and / or The positioning feature data includes at least one of frequency response parameters and time domain response parameters.

3. The method for detecting damage to vehicle window glass according to claim 1 or 2, wherein, The correspondence between the damaged area and the feature data is established in advance through the following steps: Damage states were simulated for different predetermined regions of the conductive grid; In each simulated destruction state, a time-varying detection excitation signal is applied to the conductive grid, the electrical response is collected, and feature data suitable for locating a predetermined area is extracted; and Each predetermined region is associated with and stored with its corresponding feature data to form the correspondence between the damaged region and the feature data.

4. The method for detecting damage to vehicle window glass according to any one of claims 1 to 3, wherein, The reference baseline is adaptively updated based on the historical electrical response data of the conductive grid under normal conditions.

5. The method for detecting damage to vehicle window glass according to any one of claims 1 to 4, wherein, Perform the damage detection while the vehicle is armed and powered off; and / or During defrosting and heating operations using the conductive grid in the vehicle, the frequency of application of the time-varying detection excitation signal is reduced or the application of the time-varying detection excitation signal is paused.

6. The method for detecting damage to vehicle window glass according to any one of claims 1 to 5, further comprising: After determining that a sabotage event has occurred, a confirmation time window is opened. Within the confirmation time window, at least one auxiliary confirmation signal is collected to extract auxiliary confirmation features. If the sabotage event is further determined based on the auxiliary confirmation features, the sabotage event is confirmed to have occurred.

7. The method for detecting damage to vehicle window glass according to claim 6, wherein, The auxiliary confirmation signals include in-vehicle acoustic signals, vehicle body vibration signals, and / or image signals. The auxiliary confirmation features include low-frequency impact features, high-frequency breakage features, vehicle body impact vibration features, and / or breakage image features.

8. A computer program product, particularly a computer-readable program carrier, the computer program product comprising or storing computer program instructions, wherein when the computer program instructions are executed by a processor, the processor is capable of at least assisting in performing the method according to any one of claims 1-7.

9. A vehicle window glass damage detection system, wherein a heating conductive grid is integrated within the vehicle window glass, the system comprising: A controller includes a memory and a processor, the memory storing computer program instructions, which, when executed by the processor, enable the processor to at least assist in performing the method according to any one of claims 1-7; A diagnostic branch connected in parallel with the conductive grid is configured to apply the preliminary detection excitation signal and / or the time-varying detection excitation signal to the conductive grid and acquire the electrical response, wherein the diagnostic branch is isolated from the conductive grid by a high-impedance isolation device. An auxiliary confirmation unit is configured to assist in determining when a destructive event has occurred. and An alarm output unit is configured to directly output or push alarm information containing area information to a remote server or user terminal via a wireless communication interface.

10. A vehicle comprising: Vehicle windows, especially rear windshields, are equipped with heated conductive grids. and The vehicle window glass damage detection system according to claim 9.

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