A state evaluation detection system based on response speed of a window wiper
By constructing the displacement-time series of the window regulator and extracting the response delay time and speed fluctuation coefficient, the problem of accuracy in assessing the window regulator's condition was solved, thereby improving fault warning capabilities and vehicle safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUZHOU ANBOSI AUTOMOTIVE TECHNOLOGY CO LTD
- Filing Date
- 2026-03-06
- Publication Date
- 2026-06-16
AI Technical Summary
The lack of real-time, quantitative assessment methods for the response speed of window regulators in existing technologies makes it difficult to identify and warn of problems such as mechanical wear, dirty guide rails, and motor performance degradation in the early stages, affecting vehicle safety and user experience.
The window cranking machine's environmental and displacement data are acquired through the data acquisition module, and a displacement-time series is constructed. The response delay time and velocity fluctuation coefficient are extracted as operating parameter features through the data processing module, and the operating status of the window cranking machine is output through the status evaluation module.
It enables accurate assessment of the window regulator status, reduces hardware costs, improves fault warning capabilities and maintenance efficiency, and enhances vehicle safety and user experience.
Smart Images
Figure CN122218341A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of vehicle electrical component testing technology, specifically a condition assessment and testing system based on the response speed of a window regulator. Background Technology
[0002] The window regulator is a crucial component in the vehicle's body control system. Its response speed, operational smoothness, and reliability directly impact the user's riding experience and vehicle safety. Currently, judging the status of the window regulator mainly relies on the user's subjective feelings, such as whether there are abnormal noises, jamming, or a significant slowdown during the raising and lowering process. This method, which depends on human experience, lacks objective and accurate quantitative indicators and cannot effectively identify and warn of faults in their early stages. In existing technologies, vehicle diagnostics usually target electrical faults that have already occurred. However, there is a lack of effective online monitoring and evaluation methods for gradual performance changes such as response delays and speed reductions caused by mechanical wear, dirty guide rails, and motor performance degradation, thus creating potential safety hazards.
[0003] Therefore, there is an urgent need for a condition assessment and detection system that can evaluate the response speed performance of window cranks in real time and quantitatively, thereby determining their working status and improving their fault early warning capabilities and maintenance efficiency. This is the problem we need to solve. To this end, we now provide a condition assessment and detection system based on the response speed of window cranks. Summary of the Invention
[0004] The purpose of this invention is to provide a status assessment and detection system based on the response speed of a window cranking machine.
[0005] The objective of this invention can be achieved through the following technical solution: a state assessment and detection system based on the response speed of a window crank, comprising the following:
[0006] The data acquisition module is used to acquire environmental and displacement data of the window cranking machine, and obtain the corresponding displacement-time series based on the displacement data;
[0007] The data processing module is used to extract operating parameter features based on displacement-time series, and to define environmental data and operating parameter features as external influence-related data and internal dynamic response-related data, respectively.
[0008] The status assessment module is used to set corresponding status assessment items based on external impact data and internal dynamic response data, and output the assessment results of the corresponding status assessment items.
[0009] The result output module is used to determine the operating status of the window cranking machine based on the evaluation results of the status evaluation items output by the status evaluation module.
[0010] Furthermore, the data acquisition module includes a temperature and humidity acquisition unit, which acquires environmental data of the window regulator. This environmental data includes ambient temperature and ambient humidity, denoted as follows: .
[0011] Furthermore, the data acquisition module also includes a displacement sensing unit;
[0012] The window regulator is equipped with a corresponding lifting mechanism, which drives the window glass to perform raising and lowering operations according to the detected raising or lowering request signal.
[0013] The displacement data of the car window glass during the lifting and lowering process is collected in real time by the displacement sensing unit;
[0014] When an upward or downward request signal is detected, an associated lifting or lowering event is generated. The moment when the corresponding request signal is detected is used as the time reference zero point of the lifting or lowering event. The displacement data of the car window glass is sampled at fixed intervals to obtain the sampling time for each time.
[0015] Based on the displacement data of the car window glass and the sampling time, a displacement-time series was obtained.
[0016] Furthermore, the process by which the data processing module extracts operating parameter features based on the displacement-time series includes:
[0017] A corresponding analysis time window is set for each rise and fall event. The starting point of the analysis time window is the time reference zero point, and the ending point of the analysis time window is the time after the preset analysis duration after the time reference zero point.
[0018] By traversing the displacement data and sampling times in the displacement-time series, the response delay time can be obtained. The response delay time is the time interval from the zero point of the time reference to the first time the displacement data exceeds the displacement threshold.
[0019] Based on the displacement data and sampling time obtained from the displacement-time series, the instantaneous velocity values of the car window glass at each intermediate sampling time are obtained using the central difference method.
[0020] The instantaneous velocity values are filtered according to the analysis time window, and the corresponding instantaneous velocity values of the sampling points located within the analysis time window are retained as valid instantaneous velocity values. The valid instantaneous velocity values are then integrated to form a valid instantaneous velocity value sequence.
[0021] The velocity fluctuation coefficient within the analysis time window is obtained based on the effective instantaneous velocity value sequence. ;
[0022] The obtained response delay time and speed fluctuation coefficient are used as the operating parameter characteristics of the corresponding rise and fall events.
[0023] Furthermore, the process by which the state assessment module sets corresponding state assessment items based on external influence data and internal dynamic response data, and outputs the assessment results for the corresponding state assessment items, includes:
[0024] The external influence-related data and the internal dynamic response-related data are respectively used as the first and second state evaluation items for assessing the operating status of the window regulator.
[0025] Set the evaluation conditions corresponding to the first state evaluation item, and record them as the first evaluation conditions;
[0026] The first evaluation criteria include the lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity for the operation of the window regulator. The lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity are respectively denoted as... , as well as ;
[0027] When satisfied and If the environmental conditions are met, then the first state assessment item is in a qualified state; otherwise, the first state assessment item is in an abnormal state.
[0028] Set the evaluation conditions corresponding to the second state evaluation item, and record them as the second evaluation conditions;
[0029] The second evaluation criteria include the upper limit of the response delay time, the lower limit of the steady-state average speed, and the acceptable threshold for the speed fluctuation coefficient during the operation of the window cranking machine. The upper limit of the response delay time and the acceptable threshold for the speed fluctuation coefficient are respectively denoted as... as well as ;
[0030] when If the window shutter's response delay time is within the normal range, then it is determined that the current window shutter's response delay time is within the normal range. If this happens, the response delay time of the current window crank is determined to be abnormal.
[0031] when If the window crank is in a stable operating state, it is determined that the current window crank is operating normally. If this occurs, it is determined that the current window cranking machine is in an abnormal operating state.
[0032] Furthermore, the process by which the result output module determines the operating status of the window cranking machine based on the evaluation results of the status evaluation items output by the status evaluation module includes:
[0033] When the first state assessment item is in the "abnormal environmental conditions" state, it is determined that "the environmental conditions are not suitable for operation" and a corresponding environmental early warning signal is generated.
[0034] If the first assessment item is in the "abnormal environmental conditions" state and the second assessment item is in the "dynamic performance qualified" state, the assessment conclusion is: "The current environmental conditions are abnormal, but the window regulator's performance is temporarily normal. It is recommended to pay attention to environmental changes."
[0035] If the first assessment item is in the "Abnormal Environmental Conditions" state and the second assessment item is in the "Abnormal Dynamic Performance" state, the assessment conclusion is: "The current environmental conditions are abnormal and the window cranking machine is malfunctioning. It is recommended to check it immediately."
[0036] When the first status assessment item is in the "environmental conditions are acceptable" state, the determination is made based on the status of the second status assessment item:
[0037] When the second state evaluation item is in the "dynamic performance qualified" state, it is determined that there is no fault in the operation of the window regulator, and the evaluation conclusion is "normal state";
[0038] When the second state evaluation item is in the "dynamic performance abnormal" state, it is determined that there is a malfunction in the operation of the window regulator.
[0039] Compared with existing technologies, the advantages of this invention are as follows: The data acquisition module acquires environmental and displacement data of the window cranking machine, constructing a displacement-time series. State perception can be achieved using only low-cost displacement and environmental sensors, significantly reducing hardware costs. The data processing module extracts response delay time and speed fluctuation coefficients as operating parameter features based on the displacement-time series. These extracted operating parameter features fully reflect the start-up sensitivity, response speed, and stability of the window cranking machine. The operating parameter features and environmental data are defined as internal dynamic response-related data and external influence-related data, respectively. The state assessment module evaluates the external influence-related data and the internal dynamic response-related data. The system sets corresponding status assessment items for each data point and outputs the assessment results for each item, constructing a dual assessment of environmental adaptability and window regulator mechanical performance. This allows the system to distinguish whether a fault originates from an abnormal environment or an abnormal mechanical performance. The result output module makes a comprehensive judgment based on the two assessment results, generating a conclusion on the window regulator's operating status. This multi-dimensional information-based comprehensive judgment significantly improves the accuracy of the system's status assessment and detection. The system achieves a collaborative assessment of the window regulator's mechanical performance and operating environment, improving the reliability and intelligent maintenance level of the window lifting system, effectively avoiding sudden failures, and enhancing vehicle safety and user comfort. Attached Figure Description
[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.
[0041] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0042] like Figure 1 As shown, a state assessment and detection system based on the response speed of a window crank includes a data acquisition module, a data processing module, a state assessment module, and a result output module.
[0043] The data acquisition module is used to acquire environmental data and displacement data of the window cranking machine, and obtain the corresponding displacement-time series based on the displacement data;
[0044] The data processing module is used to extract operating parameter features based on displacement-time series, and defines environmental data and operating parameter features as external influence-related data and internal dynamic response-related data, respectively.
[0045] The status assessment module is used to set corresponding status assessment items based on external influence data and internal dynamic response data, and output the assessment results of the corresponding status assessment items.
[0046] The result output module is used to determine the operating status of the window cranking machine based on the evaluation results of the status evaluation items output by the status evaluation module.
[0047] It should be further explained that, in the specific implementation process, the process by which the data acquisition module acquires the environmental data of the window cranking machine includes:
[0048] The detection equipment deployed on the window crank includes a temperature sensor, a humidity sensor, and a displacement sensing unit. The temperature sensor collects the ambient temperature corresponding to the window crank, and the humidity sensor collects the ambient humidity corresponding to the window crank.
[0049] Let the ambient temperature and ambient humidity be denoted as... .
[0050] It should be further explained that, in the specific implementation process, the process by which the data acquisition module acquires the displacement data of the window cranking machine and obtains the corresponding displacement-time series includes:
[0051] The window regulator is equipped with a corresponding lifting mechanism, which is used to drive the window glass to perform rising and lowering operations. The rising operation is triggered by a detected rising request signal, and the lowering operation is triggered by a detected lowering request signal.
[0052] The displacement data of the car window glass during the lifting and lowering process is collected in real time by the displacement sensing unit;
[0053] The displacement data of the car window glass relative to its initial position is recorded as follows: ;
[0054] When an ascending or descending request signal is detected, a corresponding ascending or descending event is generated, and the moment the corresponding request signal is detected is taken as the time reference zero point of that ascending or descending event, denoted as . With a fixed sampling interval Displacement data of the vehicle window glass is sampled at equal intervals, and each sampling point is labeled as n, where n = 0, 1, 2, ..., N, where n = 0 corresponds to... time;
[0055] Based on the displacement data of the car window glass and the sampling time, a displacement-time series is obtained, namely:
[0056] ;
[0057] in, Sampling time, These are the displacement data collected at the sampling time. For fixed sampling intervals.
[0058] It should be further explained that, in the specific implementation process, the data processing module extracts operating parameter features based on the displacement-time series, and defines the environmental data and operating parameter features as external influence-related data and internal dynamic response-related data, respectively. This process includes:
[0059] A corresponding analysis time window is set for each rise and fall event. The starting point of the analysis time window is the time reference zero point, and the ending point of the analysis time window is the time elapsed after the time reference zero point for a preset analysis duration T. The analysis time window is denoted as... ,Right now:
[0060] ;
[0061] in, The time reference point is zero, and T is the preset analysis duration. The time reference is the moment after a preset analysis duration T following midnight;
[0062] By iterating through the displacement data and sampling times in the displacement-time series, the moment when the window displacement data exceeds a preset displacement threshold for effective window activation is found. The response delay time is then obtained; this response delay time is the time interval from the zero point of the time reference to the moment when the displacement data first exceeds this displacement threshold, denoted as . ,Right now:
[0063] ;
[0064] in, The time when the displacement data first exceeds the preset displacement threshold for effective activation of the vehicle window glass. In order to be in Real-time displacement data of the car window glass. The preset displacement threshold for effective activation of the vehicle window glass;
[0065] Based on the displacement data and sampling times obtained from the displacement-time series, the central difference method is used to obtain the instantaneous velocity values of the window glass at each intermediate sampling time, reflecting the speed of the window's movement at each moment during the raising and lowering process, denoted as . ,Right now:
[0066] ;
[0067] Instantaneous velocity values are filtered according to the analysis time window, and the instantaneous velocity values corresponding to the sampling points within the analysis time window are retained as valid instantaneous velocity values. These valid instantaneous velocity values are then integrated to form a valid instantaneous velocity value sequence, denoted as . ,in:
[0068] ;
[0069] in, This indicates the nth sampling time. This represents the set of all sampling points that are within the analysis time window and have valid instantaneous velocity values;
[0070] Based on the effective instantaneous velocity value sequence, obtain the arithmetic mean of the effective instantaneous velocity values, denoted as . ,Right now:
[0071] ;
[0072] The standard deviation of velocity is obtained by comparing the effective instantaneous velocity value sequence with the arithmetic mean of the effective instantaneous velocity values, denoted as . ,Right now:
[0073] ;
[0074] The velocity fluctuation coefficient is obtained by using the arithmetic mean of the velocity standard deviation and the effective instantaneous velocity values, denoted as . ,Right now:
[0075] ;
[0076] in, For the speed standard deviation, The arithmetic mean of the effective instantaneous velocity values;
[0077] The obtained response delay time and speed fluctuation coefficient are used as the operating parameter characteristics of the corresponding rise and fall events;
[0078] The operating parameters are affected by ambient temperature and humidity, reflecting the actual dynamic performance of the window regulator under the current environment;
[0079] The obtained environmental data is defined as external impact-related data, and the obtained operating parameter characteristics are defined as internal dynamic response-related data.
[0080] It should be further explained that, in the specific implementation process, the process by which the state assessment module sets corresponding state assessment items based on external influence data and internal dynamic response data, and outputs the assessment results of the corresponding state assessment items, includes:
[0081] The external influence-related data and the internal dynamic response-related data are respectively used as the status evaluation items corresponding to the operating status of the window cranking machine;
[0082] The state evaluation item includes a first state evaluation item and a second state evaluation item;
[0083] Will As the first state evaluation item, the evaluation conditions corresponding to the first state evaluation item are set and recorded as the first evaluation conditions;
[0084] The first evaluation criteria include the lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity for the operation of the window regulator. The lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity are respectively denoted as... , as well as ;
[0085] The ambient temperature and ambient humidity in the first state evaluation item are respectively used as the evaluation elements corresponding to the first state evaluation item;
[0086] When satisfied and If the environmental conditions are met, then the first state assessment item is in a qualified state; otherwise, the first state assessment item is in an abnormal state.
[0087] Will As a second state evaluation item, the evaluation conditions corresponding to the second state evaluation item are set and recorded as the second evaluation conditions;
[0088] The second evaluation criteria include the upper limit of the response delay time, the lower limit of the steady-state average speed, and the acceptable threshold for the speed fluctuation coefficient during the operation of the window cranking machine. The upper limit of the response delay time and the acceptable threshold for the speed fluctuation coefficient are respectively denoted as... as well as ;
[0089] The response delay time and velocity fluctuation coefficient in the second state evaluation item are respectively used as the evaluation elements corresponding to the second state evaluation item;
[0090] when If the window shutter's response delay time is within the normal range, then it is determined that the current window shutter's response delay time is within the normal range. If this happens, the response delay time of the current window crank is determined to be abnormal.
[0091] when If the window crank is in a stable operating state, it is determined that the current window crank is operating normally. If this occurs, it is determined that the current window cranking machine is in an abnormal operating state.
[0092] It should be further explained that, in the specific implementation process, the process by which the result output module determines the operating status of the window cranking machine based on the evaluation results of the status evaluation items output by the status evaluation module includes:
[0093] When the first state assessment item is in the "abnormal environmental conditions" state, it is determined that "the environmental conditions are not suitable for operation" and a corresponding environmental early warning signal is generated.
[0094] If the first assessment item is in the "abnormal environmental conditions" state and the second assessment item is in the "dynamic performance qualified" state, the assessment conclusion is: "The current environmental conditions are abnormal, but the window regulator's performance is temporarily normal. It is recommended to pay attention to environmental changes."
[0095] If the first assessment item is in the "Abnormal Environmental Conditions" state and the second assessment item is in the "Abnormal Dynamic Performance" state, the assessment conclusion is: "The current environmental conditions are abnormal and the window cranking machine is malfunctioning. It is recommended to check it immediately."
[0096] When the first status assessment item is in the "environmental conditions are acceptable" state, the determination is made based on the status of the second status assessment item:
[0097] When the second state evaluation item is in the "dynamic performance qualified" state, it is determined that there is no fault in the operation of the window regulator, and the evaluation conclusion is "normal state";
[0098] When the second state evaluation item is in the "dynamic performance abnormal" state, it is determined that there is a malfunction in the operation of the window regulator.
[0099] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications or equivalent substitutions made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. A condition assessment and detection system based on the response speed of a window cranking machine, characterized in that, include: The data acquisition module is used to acquire environmental and displacement data of the window cranking machine, and obtain the corresponding displacement-time series based on the displacement data; The data processing module is used to extract operating parameter features based on displacement-time series, and to define environmental data and operating parameter features as external influence-related data and internal dynamic response-related data, respectively. The status assessment module is used to set corresponding status assessment items based on external impact data and internal dynamic response data, and output the assessment results of the corresponding status assessment items. The result output module is used to determine the operating status of the window cranking machine based on the evaluation results of the status evaluation items output by the status evaluation module.
2. The state assessment and detection system based on the response speed of a window crank as described in claim 1, characterized in that, The data acquisition module includes a temperature and humidity acquisition unit, which acquires environmental data of the window regulator. This environmental data includes ambient temperature and ambient humidity, denoted as follows: .
3. The state assessment and detection system based on the response speed of a window crank as described in claim 1, characterized in that, The data acquisition module also includes a displacement sensing unit; The window regulator is equipped with a corresponding lifting mechanism, which drives the window glass to perform raising and lowering operations according to the detected raising or lowering request signal. The displacement data of the car window glass during the lifting and lowering process is collected in real time by the displacement sensing unit; When an upward or downward request signal is detected, an associated lifting or lowering event is generated. The moment when the corresponding request signal is detected is used as the time reference zero point of the lifting or lowering event. The displacement data of the car window glass is sampled at fixed intervals to obtain the sampling time for each time. Based on the displacement data of the car window glass and the sampling time, a displacement-time series was obtained.
4. The state assessment and detection system based on the response speed of a window crank as described in claim 3, characterized in that, The data processing module extracts operational parameter features based on the displacement-time series, including the following process: A corresponding analysis time window is set for each rise and fall event. The starting point of the analysis time window is the time reference zero point, and the ending point of the analysis time window is the time after the preset analysis duration after the time reference zero point. By traversing the displacement data and sampling times in the displacement-time series, the response delay time can be obtained. The response delay time is the time interval from the zero point of the time reference to the first time the displacement data exceeds the displacement threshold. Based on the displacement data and sampling time obtained from the displacement-time series, the instantaneous velocity values of the car window glass at each intermediate sampling time are obtained using the central difference method. The instantaneous velocity values are filtered according to the analysis time window, and the corresponding instantaneous velocity values of the sampling points located within the analysis time window are retained as valid instantaneous velocity values. The valid instantaneous velocity values are then integrated to form a valid instantaneous velocity value sequence. The velocity fluctuation coefficient within the analysis time window is obtained based on the effective instantaneous velocity value sequence. ; The obtained response delay time and speed fluctuation coefficient are used as the operating parameter characteristics of the corresponding rise and fall events.
5. The state assessment and detection system based on the response speed of a window cranking machine according to claim 4, characterized in that, The process by which the state assessment module sets corresponding state assessment items based on external influence data and internal dynamic response data, and outputs the assessment results for the corresponding state assessment items, includes: The external influence-related data and the internal dynamic response-related data are respectively used as the first and second state evaluation items for assessing the operating status of the window regulator. Set the evaluation conditions corresponding to the first state evaluation item, and record them as the first evaluation conditions; The first evaluation criteria include the lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity for the operation of the window regulator. The lower limit of the suitable ambient temperature, the upper limit of the suitable ambient temperature, and the upper limit of the suitable ambient humidity are respectively denoted as... , as well as ; When satisfied and If the environmental conditions are met, then the first state assessment item is in a qualified state; otherwise, the first state assessment item is in an abnormal state. Set the evaluation conditions corresponding to the second state evaluation item, and record them as the second evaluation conditions; The second evaluation criteria include the upper limit of the response delay time, the lower limit of the steady-state average speed, and the acceptable threshold for the speed fluctuation coefficient during the operation of the window cranking machine. The upper limit of the response delay time and the acceptable threshold for the speed fluctuation coefficient are respectively denoted as... as well as ; when If the window shutter's response delay time is within the normal range, then it is determined that the current window shutter's response delay time is within the normal range. If this happens, the response delay time of the current window crank is determined to be abnormal. when If the window crank is in a stable operating state, it is determined that the current window crank is operating normally. If this occurs, it is determined that the current window cranking machine is in an abnormal operating state.
6. The state assessment and detection system based on the response speed of a window crank as described in claim 5, characterized in that, The process by which the result output module determines the operating status of the window regulator based on the evaluation results of the status evaluation items output by the status evaluation module includes: When the first state assessment item is in the "abnormal environmental conditions" state, it is determined that "the environmental conditions are not suitable for operation" and a corresponding environmental early warning signal is generated. If the first assessment item is in the "abnormal environmental conditions" state and the second assessment item is in the "dynamic performance qualified" state, the assessment conclusion is: "The current environmental conditions are abnormal, but the window regulator's performance is temporarily normal. It is recommended to pay attention to environmental changes." If the first assessment item is in the "Abnormal Environmental Conditions" state and the second assessment item is in the "Abnormal Dynamic Performance" state, the assessment conclusion is: "The current environmental conditions are abnormal and the window cranking machine is malfunctioning. It is recommended to check it immediately." When the first status assessment item is in the "environmental conditions are acceptable" state, the determination is made based on the status of the second status assessment item: When the second state evaluation item is in the "dynamic performance qualified" state, it is determined that there is no fault in the operation of the window regulator, and the evaluation conclusion is "normal state"; When the second state evaluation item is in the "dynamic performance abnormal" state, it is determined that there is a malfunction in the operation of the window regulator.