CN110901590A - Wiper system, control method and vehicle - Google Patents
Wiper system, control method and vehicle Download PDFInfo
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- CN110901590A CN110901590A CN201811078814.1A CN201811078814A CN110901590A CN 110901590 A CN110901590 A CN 110901590A CN 201811078814 A CN201811078814 A CN 201811078814A CN 110901590 A CN110901590 A CN 110901590A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000008859 change Effects 0.000 claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims abstract description 8
- 230000006399 behavior Effects 0.000 claims description 104
- 230000001419 dependent effect Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000007405 data analysis Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000003909 pattern recognition Methods 0.000 claims description 3
- 230000036541 health Effects 0.000 claims description 2
- 230000002060 circadian Effects 0.000 claims 2
- 239000002699 waste material Substances 0.000 abstract description 2
- 229920001971 elastomer Polymers 0.000 description 23
- 239000005060 rubber Substances 0.000 description 23
- 230000032683 aging Effects 0.000 description 5
- 230000007704 transition Effects 0.000 description 4
- 239000011521 glass Substances 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/04—Wipers or the like, e.g. scrapers
- B60S1/32—Wipers or the like, e.g. scrapers characterised by constructional features of wiper blade arms or blades
- B60S1/38—Wiper blades
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S1/00—Cleaning of vehicles
- B60S1/02—Cleaning windscreens, windows or optical devices
- B60S1/04—Wipers or the like, e.g. scrapers
- B60S1/32—Wipers or the like, e.g. scrapers characterised by constructional features of wiper blade arms or blades
- B60S1/38—Wiper blades
- B60S2001/3844—Wiper blades equipped with means to indicate wear or usage of blade
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Abstract
The present invention provides a wiper system, comprising: a detection unit configured to detect data associated with a user behavior that changes a wiper blade running condition; a storage unit configured to store data; a processing unit configured to process the data to derive a changed user behavior pattern and to determine whether the changed user behavior pattern reaches a set threshold user behavior pattern; when the changed user behavior mode does not reach the threshold user behavior mode, the processing unit can change the running parameters of the windscreen wiper; and when the changed user behavior pattern reaches the threshold user behavior pattern, the processing unit can send wiper replacement advice to the user. In addition, the invention also provides a control method of the wiper system, a vehicle comprising the wiper system, a computer readable medium and a control device. According to the technical scheme of the invention, the wiper replacement suggestion can be more accurately given, so that the waste is reduced, the safety is ensured, and the comfort of a user is improved.
Description
Technical Field
The present invention relates to the field of vehicle equipment technologies, and in particular, to a wiper system, a wiper system control method, a vehicle including the wiper system, a computer-readable storage medium, and a control device.
Background
Generally, a vehicle is equipped with a wiper blade at a front window (and a rear window of some vehicles) to clean rainwater or dust. The wiper blades may have a variety of operating modes, such as a continuous slow mode, a continuous fast mode, a user single trigger mode, a rain sensor trigger mode, an intermittent mode with automatic (e.g., sensor-based) time intervals, and an intermittent mode with user-defined time intervals, among others. By appropriately selecting among these operation modes, it is possible to realize a good scraping operation for various rain and snow weather conditions, thereby ensuring a good field of view and driving safety.
Although the existing new wiper blade generally provides a very good wiping effect, as time and frequency of use increase, rubber of the wiper blade gradually ages and wears, so that performance of the wiper blade gradually decreases, and some other problems, such as noise, may be caused. Therefore, the wiper blade or the wiper rubber needs to be replaced periodically. However, there is still a problem how to determine when the wiper blade should be replaced.
In the related art, a user may determine whether or not the wiper blade needs to be replaced based on a human judgment of the aging condition of the wiper blade rubber, or may know from a vehicle suggestions of whether or not the wiper blade needs to be replaced, wherein the suggestions are given based on the use time or the number of uses of the wiper blade or by image recognition or noise recognition. For example, CN206900303U discloses a vehicle wiper replacement reminding system, which gives a replacement recommendation by comparing image information of a vehicle wiper/windshield with a reference image. DE202017106704U1 discloses an automatic system for advising replacement of a wiper blade, which gives a replacement advice in the form of detecting wiper blade noise. JP2012136118A discloses a vehicle wiper replacement warning device that collects image information of a windshield and gives a replacement advice in combination with information such as rainfall information, vehicle speed, and wind speed. JP2010000963A also discloses a wiper blade replacement warning device that acquires image information of a windshield glass after a wiping operation to give a replacement recommendation.
However, these prior arts suggest replacement based on the current condition of the wiper blade itself or the windshield glass, and cannot give accurate replacement time, which often results in premature replacement and waste or too late replacement, which affects driving safety.
Disclosure of Invention
In view of the drawbacks in the prior art, the present general inventive concept is to give an optimal replacement time of a wiper blade or wiper rubber by detecting and processing data associated with a user's behavior changing the running condition of the wiper blade and a correlation between the usage data. This will reduce the cost of frequent replacement of the wiper blade and improve safety by avoiding an excessively long replacement time interval. In addition, the invention can also improve the comfort of the user by correspondingly adjusting the running mode of the windscreen wiper.
Specifically, the present invention detects and records data regarding how a user operates a wiper blade over time (e.g., over several months). It is assumed that the behavior of the user also changes with time due to the change in the performance of the wiper blade rubber. In particular, the change in the behavior of the user is analyzed with respect to the state of the wiper blade rubber. For example, when the wiper blade rubber is new and very effective, the user does not frequently operate the wiper blade in a certain rainfall state; however, when the wiper rubber is aged and no longer so effective, the user will operate the wiper more frequently than usual under the same rainfall conditions. By analyzing data/behavior of a single user or multiple users with big data, optimized wiper blade replacement recommendations may be provided. These data can also be used to improve user comfort by adjusting the running mode of the wiper blade with respect to aging of the wiper blade rubber.
So, whenever the user changes the wiper run mode or rewrites the automatic run of the wiper system, this event is recorded and analyzed. The recorded and analyzed data will be used to predict the state of the wiper rubber and provide replacement advice to the user, as well as improve the comfort of the user.
To this end, according to an aspect of the present invention, there is provided a wiper blade system, wherein the wiper blade system includes:
a detection unit configured to detect data associated with a user behavior that changes a wiper blade running condition;
a storage unit configured to store data;
a processing unit configured to process the data to derive a changed user behavior pattern and to determine whether the changed user behavior pattern reaches a threshold user behavior pattern;
when the changed user behavior mode does not reach the threshold user behavior mode, the processing unit can change the running parameters of the windscreen wiper; and the processing unit is capable of issuing a wiper replacement recommendation to the user when the changed user behaviour pattern reaches a threshold user behaviour pattern (Pth).
According to another aspect of the present invention, there is also provided a control method of a wiper blade system, the method including the steps of:
1) enabling the wiper system to work normally;
2) detecting data associated with a user behavior that changes the running condition of the wiper blade by a detection unit and storing the data in a storage unit;
3) processing the data through a processing unit to obtain a changed user behavior mode;
4) determining, by the processing unit, whether the changed user behavior pattern reaches a threshold user behavior pattern, wherein step 5) is performed when the changed user behavior pattern does not reach the threshold user behavior pattern, and step 6) is performed when the changed user behavior pattern reaches the threshold user behavior pattern;
5) changing the running parameters of the windscreen wiper through the processing unit, and returning to the step 1);
6) sending wiper replacement suggestions to a user through a processing unit;
7) and returning to the step 1) after the wiper blade is replaced.
According to a third aspect of the present invention, the present invention also provides a vehicle comprising the wiper blade system as described above.
According to a fourth aspect of the present invention, there is also provided a computer readable storage medium having stored thereon program instructions, wherein the program instructions, when executed by a processor, are capable of implementing the method as described above.
According to a fifth aspect of the present invention, the present invention also provides a control device for a wiper blade, the control device comprising a memory and a processor, wherein the memory has stored therein program instructions executable on the processor, wherein the method as described above is implementable when the processor executes the program instructions.
The wiper system and the control method thereof of the present invention can give an optimum time for replacing wiper blades or wiper blade rubbers by detecting and processing data associated with user behaviors that change the running condition of the wiper blade and comparing the changed user behavior pattern with a set threshold user behavior pattern. This will reduce the cost of frequent replacement of the wiper blade and improve safety, and in addition, may improve user comfort.
Drawings
Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the following described embodiments are illustrative only, and are not limiting upon the scope of the invention, as illustrated in the accompanying drawings in which:
fig. 1 is a schematic block diagram of a wiper system according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a wiper system control method according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention are described in detail below with reference to examples. However, it will be understood by those skilled in the art that these exemplary embodiments are not meant to limit the present invention in any way. Furthermore, features in the embodiments of the present invention may be combined with each other without conflict. In the drawings, other components are omitted for the sake of brevity, but this does not indicate that the wiper blade system of the present invention may not include other units or components.
Herein, "replacement of the wiper blade" refers to replacement of the entire wiper blade or replacement of only the wiper blade rubber, and is not distinguished in the following description.
As shown in fig. 1, a wiper system 100 according to an embodiment of the present invention generally includes a detection unit 101, a storage unit 102, and a processing unit 103, wherein the detection unit 101 is configured to detect data associated with a user behavior that changes an operating condition of the wiper blade 110, the storage unit 102 is configured to store the detected data, and the processing unit 103 is configured to process the data to derive a changed user behavior pattern Pc, and to determine whether the changed user behavior pattern Pc reaches a threshold user behavior pattern Pth. When the changed user behavior pattern Pc does not reach (i.e., is lower than) the threshold user behavior pattern Pth (i.e., Pc < Pth) (i.e., the determination result is negative N), the processing unit 103 can change the operation parameter of the wiper blade 110; and when the changed user behavior pattern Pc reaches (i.e., is greater than or equal to) the threshold user behavior pattern Pth (i.e., Pc > ═ Pth) (i.e., the determination result is affirmative Y), the processing unit 103 can issue a wiper replacement proposal to the user. In fig. 1, the processing unit 103 may be an in-vehicle processing unit, a cloud processing unit, or both of them having interaction with each other. Similarly, the storage unit 102 may be an onboard storage unit, a cloud storage unit, or both. In addition, fig. 1 also shows, in dashed lines, a communication unit 104 configured to transmit and receive data between the detection unit 101, the storage unit 102, and the processing unit 103 in a wired or wireless manner. Of course, the communication unit 104 may not be provided, and data may be exchanged by way of a direct cable connection.
According to the technical solution of the present invention, it is required to detect data associated with a user's behavior of changing the running condition of the wiper blade 110, wherein the data may include, but is not limited to, wiper running condition data, external environment data, vehicle running condition data, and/or time data.
Specifically, the wiper blade health data may include, without limitation, an operating mode, an operating time, and/or operating parameters, wherein the operating mode may include, without limitation, at least one of a continuous slow mode, a continuous fast mode, a user single trigger mode, a rain sensor single trigger mode, an intermittent mode of an automatic time interval, an intermittent mode of a user defined time interval, and a windshield wash mode, the operating time may include, without limitation, a duration of each operating mode, and the operating parameters may include, without limitation, time intervals in the intermittent mode.
The external environment data may include, without limitation, rainfall data and/or light data, wherein the rainfall data may include, without limitation, at least one of rainfall data for a duration of each operation mode of the wiper blade 110, rainfall data when a user triggers the operation of the wiper blade 110, rainfall data when the user changes an automatic operation mode of the wiper blade 110, and the light data may include, without limitation, at least one of illuminance, visibility, a period of time corresponding to the illuminance (e.g., selected from day, night, dusk/dawn).
The vehicle driving condition data may include, and is not limited to, a vehicle speed and/or a distance to a preceding vehicle if present.
The time data may include, but is not limited to, at least one of a time counted since the wiper was last replaced, a time period during which the wiper is operated, a time stamp relative to the age of the vehicle, and a calendar date.
In addition, the wiper system 100 of the present invention may further include an internal timer 105 configured to count the time since the wiper blade 110 was last replaced to obtain time data. The internal timer 105 is configured to be able to be set to 0 or any default starting value, or to be able to be set to 0 or any default starting value retrospectively for a certain date in the past. Accordingly, the wiper operating condition data, the external environment data, and the vehicle running condition data may include a time stamp with respect to the internal timer 105, similar to a time stamp with respect to the vehicle age.
According to another embodiment of the present invention, the aging state of the wiper rubber may be known using the driving data of the motor 111 of the wiper blade 110, i.e., the data associated with the user behavior that changes the running condition of the wiper blade 110 may include the driving data of the wiper motor. Accordingly, the detection unit 101 includes a sensor for detecting the motor rotation speed and a sensor for detecting the motor current. If the wiper blade rubber is new, the wiper blade 110 slides smoothly on the windshield glass surface. When the rubber of the windscreen wiper is aged, the sliding is not smooth any more. In contrast, unstable movement such as bouncing of the wiper blade may occur. This unstable movement can be detected in the motor speed and/or the motor current. By analyzing the motor speed and/or the motor current, the aging state of the wiper blade rubber can be known. Therefore, the driving data of the wiper motor 111 can be processed in association with the wiper running condition data, the external environment data, the vehicle running condition data, the time data, and the like described above.
The data collected above may all be user dependent, for example, where the vehicle is used by a plurality of users, then the data for each user using the vehicle may be attributed to a particular user. These data are stored in the storage unit 102, and the storage unit 102 may store these data permanently or only temporarily for a period of time.
By collecting the data, the operation condition of the wiper blade 110 can be known, and as the wiper rubber ages, the user inevitably changes the operation condition of the wiper blade regardless of the automatic operation of the wiper blade system 100. Such a changed user behavior pattern Pc indicates that the behavior of the user has changed with the passage of time with respect to the usage condition of the wiper blade.
According to an embodiment of the present invention, the changed user behavior pattern Pc includes, but is not limited to, at least one of the following data:
the number of times the user operates the wiper blade 110 under certain external environmental data, for example, a single trigger mode in which the user operates the wiper blade 110 every T seconds under the conditions of the date D and the typical rainfall;
the comparison result of the time intervals at which the user operates the wiper blade 110 under different external environment data, for example, during B month under a typical rainfall condition R1, the user operates the one-shot operation of the wiper blade 110 every T1 seconds, whereas within the same B month under a typical rainfall condition R2, the user operates the one-shot operation of the wiper blade 110 every T2 seconds; and
the time interval at which the user operates the wiper blade 110 varies under the same external environment data, for example, the user operates the wiper blade 110 with an average interval duration I1 in B1 month under a typical rainfall condition R, and the user operates the wiper blade 110 with an average interval duration I2 in B2 month under the same or very similar rainfall condition R.
Similarly, when the driving data of the motor of the wiper blade is employed, the changed user behavior pattern Pc may include at least one of the number of times the user operates the wiper blade 110 under a certain driving data, the time interval comparison result of the user operating the wiper blade 110 under different driving data, and the time interval variation of the user operating the wiper blade 110 under the same driving data.
As the behavior pattern of the user gradually transitions as the wiper blade rubber ages, the processing unit 103 can recognize the transition. Based on this recognition of the transition, the wiper blade system 100 of the present invention may change the wiper operating parameters, e.g., the time interval of the automatic mode of the wiper blade system 100 may be changed for the rainfall state and the changed user behavior pattern Pc. For example, when the wiper is new, the time interval corresponding to the position a of the lever of the wiper blade system 100 is T1 seconds. After the wiper rubber ages, the processing unit 103 recognizes that the user now uses the position B of the stick more frequently, and the time interval corresponding to the position B is T2 seconds, T2< T1, i.e., the user wants the wiper operation frequency to be faster. To compensate for the user's need to change the stick lever from position a to position B, wiper system 100 may adaptively decrease the time interval corresponding to position a.
The adaptation of the wiper blade system 100 substantially compensates for aging of the wiper rubber with the goal that the user no longer needs to change his usual behavior, thereby improving comfort. For example, in a certain rainfall state, the user sets the operation mode of the wiper to "medium speed". If the performance of the wiper blade is degraded, the user will be forced to set the running mode of the wiper blade to "high speed". However, if the wiper blade system 100 can be adaptively adjusted for degraded performance, the operating parameter corresponding to "medium speed" will increase so that the user can still use his usual settings.
Of course, different conditions affect the behavior change of the user, for example, the requirements of the user for the wiper blade are different between night and day. Thus, based on the detected data and processing of the data, adjustment of the wiper blade system 100, i.e., changing operational parameters of the wiper blade, may be dependent on the day and night time (e.g., day, night, dusk, or dawn). In addition, changing the wiper operating parameters may also depend on the season and vehicle driving condition data. For example, the wiper system 100 may be adjusted differently for different vehicle speeds or distances from the leading vehicle.
Although the adjustment of the wiper blade system 100 compensates to some extent for the need for user behavior changes, the user behavior still changes as the wiper rubber ages further. The processing unit 103 will continue to recognize this change and compare the changed user behavior pattern Pc with the threshold user behavior pattern Pth.
According to the embodiment of the present invention, the threshold user behavior pattern Pth is a changed user behavior pattern Pc when the wiper blade should be replaced. The threshold user behavior pattern Pth is preset in the storage unit 102 and can be changed the next time the wiper 110 is replaced. The threshold user behavior pattern Pth may be obtained based on the behavior patterns of a single or multiple users, and may generally be obtained by:
1) detecting and storing data associated with user behavior that changes the behavior of the wiper blade 110;
2) processing the data to obtain a changed user behavior pattern Pc;
3) repeating the steps 1) and 2) until the windscreen wiper is replaced;
4) the current changed user behavior pattern Pc is stored as a threshold user behavior pattern Pth.
Further, after the wiper blade 110 is replaced and the internal timer 105 is reset, the change of the user behavior may be analyzed. A date D when the user changes the wiper blade 110 may be associated with a certain user behavior pattern P that operates the wiper blade 110 before the date D. The user behavior pattern P is a "threshold user behavior pattern" Pth for a user to replace the wiper, and can be rewritten into the memory unit 102. After the wiper is replaced, the user behavior pattern returns to the "new" state, and accordingly, the pattern at this time is referred to as a "new state pattern" Pf.
As time goes by, due to aging of the wiper rubber, although the adaptation of the wiper system 100 is intermediately performed, the behavior pattern of the user gradually shifts from Pf to Pth, and the processing unit 103 can recognize this shift. And based on the identification of such a transition, the processing unit 103 may provide a wiper blade replacement recommendation. As described above, the replacement advice may be given when the wiper blade needs to be replaced, however, depending on the data analysis of the previous replacement, the replacement advice may also be given a time ahead, for example, at a time after the current start. Accordingly, the wiper blade system 100 of the present invention further includes a reminder unit 106 configured to provide wiper blade replacement advice to the user acoustically, optically, and/or tactilely.
The processing of the detected data by the processing unit 103 may be performed on an in-vehicle processing unit, a cloud processing unit, or both, and there is no essential difference in the implementation of the whole system. When processing data with an on-board processing unit, the data typically comes from at least one user of a vehicle. However, processing data on the cloud processing unit provides additional advantages. For example, the cloud processing unit may process data for multiple users of multiple vehicles, and may process based on a large number of modes. In addition, the wiper blade system 100 may be adapted based on information and data received from the cloud processing unit, and may also provide wiper blade information related to behavior patterns of a large number of users to a certain user.
Since the detected data may come from a plurality of users, the detected data may include user information, and wiper operating condition data, external environment data, vehicle driving condition data, and time data may be detected, stored, and processed in a user-dependent manner.
Whether the on-board processing unit or the cloud processing unit, processing of the data may be implemented using algorithms known in the art or algorithms developed in the future, for example, at least one of a deep learning method, a big data analysis method, a neural network calculation, and pattern recognition.
According to an embodiment of the present invention, the wiper blade may be a front window wiper blade or a rear window wiper blade.
A control process of the wiper system will be further described below in conjunction with a schematic flowchart of a wiper system control method according to an embodiment of the present invention shown in fig. 2.
As shown in fig. 2, at a start step S1, the wiper blade system 100 operates normally.
At step S2, the user changes the running condition of the wiper blade, and data associated with the user behavior is detected by the detection unit 101 and stored in the storage unit 102.
At step S3, the data is processed by the processing unit 103 resulting in a changed user behavior pattern Pc;
at step S4, it is determined by the processing unit 103 whether the changed user behavior pattern Pc reaches the threshold user behavior pattern Pth, wherein when the changed user behavior pattern does not reach the threshold user behavior pattern, i.e., the determination result is negative N, step S5 is performed; when the changed user behavior pattern reaches the threshold user behavior pattern, that is, the determination result is affirmative Y, step S6 is performed;
at step S5, the processing unit 103 changes the running parameters of the wiper blade 110, and returns to step S1;
at step S6, the processing unit 103 issues a wiper replacement recommendation to the user.
At step S7, the process returns to step S1 after the wiper blade is replaced.
In the above method, the data involved and the behavior of the user have been given in the description of the wiper system and will not be described in detail here.
In addition, according to an embodiment of the present invention, a vehicle is further provided, which includes the wiper blade system.
According to another embodiment of the present invention, there is also provided a computer-readable storage medium storing program instructions, wherein the program instructions, when executed by a processor, are capable of implementing the above-mentioned method.
According to another embodiment of the present invention, there is also provided a control device, which includes a processor and a memory, wherein the memory stores program instructions capable of running on the processor, and wherein the processor is capable of implementing the above-mentioned method when executing the program instructions.
By adopting the technical scheme provided by the invention, through detecting and processing a plurality of data associated with user behaviors of changing the running condition of the wiper and the relevance between the use data, the optimal replacing time of the wiper or the wiper rubber can be given, the cost for frequently replacing the wiper is reduced, the safety is improved by avoiding overlong replacing time intervals, and in addition, the comfort of a user can be improved by correspondingly adjusting the running mode of the wiper.
The present invention has been described in detail with reference to the specific embodiments. It is to be understood that both the foregoing description and the embodiments shown in the drawings are to be considered exemplary and not restrictive of the invention. It will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit of the invention, and these changes and modifications do not depart from the scope of the invention.
Claims (31)
1. A wiper system (100) comprising:
a detection unit (101), the detection unit (101) being configured to detect data associated with a user behaviour that changes a behaviour of a wiper blade (110);
a storage unit (102), the storage unit (102) configured to store the data;
a processing unit (103), said processing unit (103) being configured to process said data to derive a changed user behavior pattern (Pc) and to determine whether said changed user behavior pattern (Pc) reaches a threshold user behavior pattern (Pth);
wherein the processing unit (103) is capable of changing an operating parameter of the wiper blade (110) when the changed user behaviour pattern (Pc) does not reach the threshold user behaviour pattern (Pth); and when the changed user behaviour pattern (Pc) reaches the threshold user behaviour pattern (Pth), the processing unit (103) is able to issue a wiper change recommendation to the user.
2. The wiper system (100) of claim 1, wherein said data includes wiper run condition data, additionally including external environment data, vehicle run condition data, and/or time data.
3. The wiper system (100) of claim 2, wherein said wiper run condition data includes run modes, run times, and/or run parameters, wherein said run modes include at least one of a continuous slow mode, a continuous fast mode, a single user trigger mode, a single rain sensor trigger mode, an intermittent mode with automatic time intervals, an intermittent mode with user defined time intervals, and a windshield wash mode, said run times include the duration of each run mode, and said run parameters include time intervals in the intermittent mode; the external environment data comprises rainfall data and/or light data, wherein the rainfall data comprises at least one of rainfall data within the duration of each mode of operation of the wiper blade (110), rainfall data when a user triggers the operation of the wiper blade (110), rainfall data when a user changes the automatic mode of operation of the wiper blade (110), and the light data comprises at least one of illuminance, visibility, and a time period corresponding to the illuminance; the vehicle running condition data includes a vehicle speed and/or a distance to a preceding vehicle in the presence of the preceding vehicle; the time data includes at least one of a time since a wiper blade (110) was last replaced, a time period during which the wiper blade (110) is operated, a time stamp relative to an age of the vehicle, and a calendar date.
4. The wiper system (100) of claim 3, wherein the wiper system (100) further comprises an internal timer (105), the internal timer (105) being configured to count the time since the wiper (110) was last replaced; the internal timer (105) is configured to be settable to 0 or any default starting value, and the wiper blade operational condition data, the external environment data, and the vehicle travel condition data include a time stamp relative to the internal timer (105).
5. The wiper system (100) of claim 4, wherein said internal timer (105) is configured to be set to 0 or any default starting value retrospectively of a certain date in the past.
6. The wiper system (100) of claim 2, wherein said changed user behavior pattern (Pc) includes at least one of a number of times said user operates said wiper blade (110) under certain external environmental data, a comparison of time intervals of said user operating said wiper blade (110) under different external environmental data, and a change of time intervals of said user operating said wiper blade (110) under the same external environmental data.
7. The wiper system (100) of claim 2, wherein said data further includes drive data for a motor (111) of said wiper blade (110) including motor speed and/or motor current; the changed user behavior pattern (Pc) includes at least one of a number of times the user operates the wiper blade (110) under a certain driving data, a time interval comparison result of the user operating the wiper blade (110) under different driving data, and a time interval variation of the user operating the wiper blade (110) under the same driving data.
8. The wiper system (100) of claim 1, wherein the threshold user behavior pattern (Pth) is predetermined and can be changed the next time the wiper (110) is replaced, and the threshold user behavior pattern (Pth) can be obtained by:
1) detecting and storing data associated with user behavior that changes the operational condition of the wiper blade (110);
2) processing said data to derive said changed user behaviour pattern (Pc);
3) repeating steps 1) and 2) until the wiper blade (110) is replaced;
4) storing the current changed user behavior pattern (Pc) as the threshold user behavior pattern (Pth).
9. The wiper system (100) of any of claims 1 through 8, wherein said data is from at least one user of a vehicle and said processing unit (103) is an in-vehicle processing unit or a cloud processing unit, or wherein said data is from a plurality of users of a plurality of vehicles and said processing unit (103) is a cloud processing unit.
10. The wiper system (100) of claim 1, wherein varying the operational parameters of the wiper blade (110) is dependent on at least one of circadian time, season, and the vehicle driving condition data.
11. The wiper system (100) of claim 1, wherein the wiper system (100) includes a reminder unit (106), the reminder unit (106) configured to provide the wiper replacement recommendation to a user acoustically, optically, and/or tactilely.
12. The wiper system (100) of claim 1, wherein the wiper system (100) further comprises a communication unit (104), the communication unit (104) being configured to send and receive data between the detection unit (101), the memory unit (102) and the processing unit (103).
13. The wiper system (100) of claim 2, wherein said data includes user information and said wiper run condition data, said external environment data, said vehicle run condition data and said time data are detected, stored and processed in a user dependent manner.
14. The wiper system (100) of claim 1, wherein said processing unit (103) employs at least one of a deep learning method, a big data analysis method, a neural network computation, and a pattern recognition; the windscreen wiper (110) is a front window windscreen wiper or a rear window windscreen wiper.
15. A control method of a wiper blade system (100), the method comprising the steps of:
1) enabling the wiper system (100) to work normally;
2) detecting data associated with a user action that changes the running condition of the wiper blade (110) by a detection unit (101) and storing the data in a storage unit (102);
3) processing the data by a processing unit (103) resulting in a changed user behavior pattern (Pc);
4) -determining, by the processing unit (103), whether the changed user behaviour pattern (Pc) reaches a threshold user behaviour pattern (Pth), wherein step 5 is performed when the changed user behaviour pattern (Pc) does not reach the threshold user behaviour pattern (Pth), and step 6 is performed when the changed user behaviour pattern (Pc) reaches the threshold user behaviour pattern (Pth);
5) changing the running parameters of the windscreen wiper (110) through the processing unit (103), and returning to the step 1);
6) -issuing wiper blade replacement advice to the user by means of the processing unit (103);
7) and returning to the step 1) after the wiper blade (110) is replaced.
16. The control method of claim 15, wherein the data includes wiper blade operation condition data, additionally including external environment data, vehicle driving condition data, and/or time data.
17. The control method of claim 16, wherein said wiper blade health data comprises run modes, run times, and/or run parameters, wherein said run modes comprise at least one of a continuous slow mode, a continuous fast mode, a single user trigger mode, a single rain sensor trigger mode, an automatic interval mode, a user defined interval mode, and a windshield wash mode, wherein said run times comprise the duration of each run mode, and wherein said run parameters comprise the interval in the interval mode; the external environment data comprises rainfall data and/or light data, wherein the rainfall data comprises at least one of rainfall data within the duration of each mode of operation of the wiper blade (110), rainfall data when a user triggers the operation of the wiper blade (110), rainfall data when a user changes the automatic mode of operation of the wiper blade (110), and the light data comprises at least one of illuminance, visibility, and a time period corresponding to the illuminance; the vehicle running condition data includes a vehicle speed and/or a distance to a preceding vehicle in the presence of the preceding vehicle; the time data includes at least one of a time since a wiper blade (110) was last replaced, a time period during which the wiper blade (110) is operated, a time stamp relative to an age of the vehicle, and a calendar date.
18. The control method according to claim 17, wherein the time since the wiper blade (110) was last replaced is counted by an internal timer (105); the internal timer (105) is configured to be settable to 0 or any default starting value, and the wiper blade operational condition data, the external environment data, and the vehicle travel condition data include a time stamp relative to the internal timer (105).
19. A control method according to claim 18, characterized in that the internal timer (105) is configured to be able to be set to 0 or any default starting value retrospectively for a certain date in the past.
20. The control method according to claim 16, wherein the changed user behavior pattern (Pc) includes at least one of a number of times the user operates the wiper blade (110) under certain external environment data, a comparison result of time intervals at which the user operates the wiper blade (110) under different external environment data, and a change in time intervals at which the user operates the wiper blade (110) under the same external environment data.
21. The control method according to claim 16, wherein said data further includes drive data of a motor (111) of said wiper blade (110), which includes a motor rotation speed and/or a motor current; the changed user behavior pattern (Pc) includes at least one of a number of times the user operates the wiper blade (110) under a certain driving data, a time interval comparison result of the user operating the wiper blade (110) under different driving data, and a time interval variation of the user operating the wiper blade (110) under the same driving data.
22. The control method according to claim 15, characterized in that the threshold user behavior pattern (Pth) is preset and can be changed the next time the wiper blade (110) is replaced, and the threshold user behavior pattern (Pth) can be obtained by:
1) detecting and storing data associated with user behavior that changes the operational condition of the wiper blade (110);
2) processing said data to derive said changed user behaviour pattern (Pc);
3) repeating steps 1) and 2) until the wiper blade (110) is replaced;
4) storing the current changed user behavior pattern (Pc) as the threshold user behavior pattern (Pth).
23. The control method according to any one of claims 15 to 22, characterized in that the data is from at least one user of one vehicle and the processing unit (103) is an onboard processing unit or a cloud processing unit, or the data is from multiple users of multiple vehicles and the processing unit (103) is a cloud processing unit.
24. The control method according to claim 15, wherein changing the operating parameter of the wiper blade (110) depends on at least one of a circadian time, a season, and the vehicle running condition data.
25. The control method according to claim 15, characterized in that the wiper blade replacement advice is provided to the user acoustically, optically and/or tactilely by a reminder unit (106).
26. The control method according to claim 15, further comprising transmitting and receiving data between the detection unit (101), the storage unit (102) and the processing unit (103) through a communication unit (104).
27. The control method of claim 16, wherein the data includes user information, and the wiper operating condition data, the external environment data, the vehicle driving condition data, and the time data are detected, stored, and processed in a user-dependent manner.
28. The control method of claim 15, wherein processing the data employs at least one of a deep learning method, a big data analysis method, a neural network computation, and pattern recognition; the windscreen wiper (110) is a front window windscreen wiper or a rear window windscreen wiper.
29. A vehicle comprising a wiper blade system (100) according to any of claims 1-14.
30. A computer readable storage medium storing program instructions, wherein the program instructions, when executed by a processor, are capable of implementing the method according to any one of claims 15 to 28.
31. A control apparatus comprising a processor and a memory, wherein the memory has stored therein program instructions executable on the processor, wherein the processor, when executing the program instructions, is capable of implementing a method according to any one of claims 15 to 28.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811078814.1A CN110901590A (en) | 2018-09-14 | 2018-09-14 | Wiper system, control method and vehicle |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811078814.1A CN110901590A (en) | 2018-09-14 | 2018-09-14 | Wiper system, control method and vehicle |
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| CN110901590A true CN110901590A (en) | 2020-03-24 |
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| CN201811078814.1A Pending CN110901590A (en) | 2018-09-14 | 2018-09-14 | Wiper system, control method and vehicle |
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| CN (1) | CN110901590A (en) |
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