1. Field of the Invention
The subject invention generally relates to a sensing device for determining a rain rate on a surface. More specifically, the subject invention relates to a sensing device for determining the rain rate of raindrops striking a glazing (i.e. windshield, rear window, side windows, etc.) of a vehicle such that a wiper is activated to remove the raindrops from the glazing.
2. Description of the Related Art
Various sensing devices for detecting raindrops are known in the prior art. One example of such a device is disclosed in U.S. Pat. No. 5,119,002. Specifically, the '002 patent discloses a device which includes a piezoelectric vibration sensor, an amplifier, a processor, a motor, a wiper blade, and a windshield. The piezoelectric vibration sensor and the amplifier are disposed within a raindrop detector. The raindrop detector is placed on the hood of a vehicle. When raindrops strike the raindrop detector, vibrations are produced. The piezoelectric vibration sensor generates a signal corresponding to these raindrops. The amplifier increases an amplitude of the signal. The processor calculates an intermittent period based on the intensity of the signal and uses that intermittent period to operate the motor. The motor in turn moves the wiper blade.
The '002 patent does not disclose an analog-to-digital converter (ADC) to convert the analog signal into digital values. An ADC allows a processor to perform high-order algorithmic calculations on the digital values that represent the analog signal. Without the digital values, it is very difficult to determine the actual rain rate. In addition, the signal provided to the microprocessor will contain noise from non-rain vibrations, such as wind, engine vibrations, etc. The microprocessor of the '002 patent mistakenly utilizes the noise in calculating the intermittent period, leading to improper actuation of the wiper blade.
Another example of a sensing device of the prior art is disclosed in U.S. Pat. No. 5,059,877. The '877 patent discloses a sensor block mounted on a windshield. The sensor block includes an array of light emitting diodes (LEDs) and an array of phototransistors. A control system that is associated with the sensor block includes an amplifier and a microcontroller. The microcontroller includes an ADC and a processor to determine the rain rate of rain striking the windshield. The '877 patent does not disclose the use of a piezoelectric vibration sensor to generate a signal when raindrops strike the windshield. A piezoelectric vibration sensor can detect vibrations anywhere on the windshield, not just in the limited area that is illuminated by the LEDs of the '877 patent.
Due to the deficiencies in the sensing devices of the prior art, there remains an opportunity to introduce a sensing device that is capable of calculating the rain rate using an equation derived from a point process equation. Very little filtering or signal conditioning of non-rainfall vibrations is needed to very accurately determine the rain rate in this fashion.
The invention provides a sensing device for determining a rain rate on a surface, such as a glazing of a vehicle. The sensing device enables a wiper blade to move across the glazing to remove raindrops from the glazing. The sensing device includes a piezoelectric sensor, an amplifier, an analog-to-digital converter (ADC), and a processor. The piezoelectric sensor is mounted to the glazing and produces an analog signal proportional to vibrations caused by raindrops striking the glazing. The amplifier is electrically connected to the piezoelectric sensor for increasing an amplitude of the analog signal. The ADC is electrically connected to the amplifier for converting the analog signal into digital values. The processor is electrically connected to the ADC to receive the digital values. The processor computes the rain rate by using an equation derived from a point process equation.
The sensing device of the subject invention provides several advantages over the related art. One such advantage is the use of a point process, more specifically the use of a first order point process. The first order point process is also known, by those skilled in the art, as a Poisson process. Statistics of rainfall naturally exhibit the characteristics of a point process. Accordingly, the processor is capable of performing calculations using an equation derived from a point process equation to allow for a very accurate estimation of the rain rate. In addition, very little filtering or signal conditioning of non-rainfall vibrations is needed to determine the rain rate using the equation based on the point process equation. Of course, filtering may be added to reduce the amount of amplified noise in the analog signal.
The calculation of the rain rate inherently does not react to non-rainfall vibrations that may be present, since these non-rainfall vibrations do not exhibit the statistical characteristics of a point process. Examples of these non-rainfall vibrations include, but are not limited to, rocks hitting the vehicle, wind noise, and acoustical vibrations caused by speech or a vehicle's sound system.
Other advantages of the present invention will be readily appreciated as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings wherein:
a is a cross-sectional view of a glazing, illustrating the piezoelectric sensor disposed between a first glazing pane and a second glazing pane; and
b is a cross-sectional view of the glazing, showing the sensing device attached to the glazing.
Referring to the Figures, wherein like numerals indicate like or corresponding parts throughout the several views, a sensing device is generally shown at 10. The sensing device 10 of the subject invention includes the ability to determine a rain rate of rain striking a surface 26.
Referring to
Referring now to
A controller 22 is operatively connected to the switch 20. The controller 22 activates the switch 20, which in turn activates the motor 18, which then causes the wiper blades 16 to move across the glazing 14 and remove the raindrops from the glazing 14.
The sensing device includes a piezoelectric sensor 24. Referring again to
Preferably, the piezoelectric sensor 24 is a high temperature thin film-type piezoelectric sensor. An example of a suitable piezoelectric sensor is a piezoelectric sensor that has properties such as a sensitivity of 5 mV/g, a measurement range of ±1000 g peak, and a frequency range of 0.01 to 109 Hz. However, other piezoelectric sensors are acceptable.
Referring again to
The sensing device 10 further includes an analog-to-digital converter (ADC) 36 and a processor 38. The ADC 36 is electrically connected to the amplifier 34. The ADC 36 converts the analog signal into digital values. The processor 38 is electrically connected to the ADC 36 and the controller 22.
The processor 38 computes a rain rate by using the digital values, provided by the ADC 36, in an equation derived from a point process equation. The point process equation is further defined as an exponential probability density function of a first order point process and is represented by the equation f(t)=λe−λt, where f(t) represents a theoretical form of the first order point process, λ represents the rain rate, and t represents time values between raindrops striking the surface. The analog signal includes peaks that occur when the raindrops strike the surface. These peaks are encoded in the digital values. In order to calculate the rain rate λ, the processor 38 must be capable of determining the peaks encoded in the digital values. The processor 38 must also be capable of determining time intervals between the peaks. The time intervals between a first time and a second time that fall in a first range are summed by the processor 38, creating a number n1. The processor 38 must also sum a number n2 of time intervals between the second time and a third time that fall in a second range.
A first embodiment requires that the processor 38 maintain the first range and the second range of time intervals equal in a time span w. The processor 38 must then be capable of determining an intermediate rain rate λint using the equation λint=−2.(n2−n1/w(n2+n1). Next, the intermediate rain rate λint is successively determined by the processor. To conclude the first embodiment, the processor must be capable of averaging the intermediate rain rates λint to determine the rain rate λ.
In a second embodiment, the first range of time intervals is further defined as all time intervals less than or equal to the second time. The second range of the time intervals is further defined as all time intervals greater than the second time. To determine the rain rate λ using the second embodiment, the processor must be capable of calculating an equation λ=n1/n2.
A third embodiment is similar to the second embodiment. However, the third embodiment provides a more accurate determination of the rain rate λ than the second embodiment. The first range of time intervals is further defined as all time intervals less than or equal to the second time. The second range of the time intervals is further defined as all time intervals greater than the second time. To determine the rain rate λ using the third embodiment, the processor must be capable of calculating an equation λ=n1/(T * n2), where T represents the second time.
Once the rain rate λ is determined, the processor 38 then provides the computed rain rate to the controller 22. The controller 22 automatically operates the wiper blades 16 to remove raindrops from the glazing 14 based on the rain rate.
In an alternative embodiment, as shown in
Referring now to
The sensing device may also include a flexible circuit board 44. The flexible circuit board 44 supports and electrically connects the piezoelectric sensor 24, the amplifier 34, the ADC 36, the filter 42, and the processor 38. It is known, to those skilled in the art, that flexible circuit boards are also termed flex circuits, flexible printed circuits, and the like. Flexible circuit boards can be bent, twisted, and folded to fit into space restrictive configurations.
Referring to
The flexible circuit board 44 may be mounted on or in the glazing 12 in a variety of locations. In one embodiment, as disclosed in
Obviously, many modifications and variations of the present invention are possible in light of the above teachings. The invention may be practiced otherwise than as specifically described within the scope of the appended claims.
Number | Name | Date | Kind |
---|---|---|---|
4317073 | Blaszkowski | Feb 1982 | A |
4499410 | Iacoponi et al. | Feb 1985 | A |
4527105 | Shiraishi | Jul 1985 | A |
4542325 | Kobayashi et al. | Sep 1985 | A |
4584508 | Kobayashi et al. | Apr 1986 | A |
4603316 | Kobayashi et al. | Jul 1986 | A |
4740735 | Hayashi | Apr 1988 | A |
4956591 | Schierbeek et al. | Sep 1990 | A |
5017847 | Leistenschneider | May 1991 | A |
5059877 | Teder | Oct 1991 | A |
RE33848 | Shiraishi | Mar 1992 | E |
5119002 | Kato et al. | Jun 1992 | A |
5138241 | Shimizu et al. | Aug 1992 | A |
5157312 | Wallrafen | Oct 1992 | A |
5319293 | Levers | Jun 1994 | A |
5436060 | Saurer et al. | Jul 1995 | A |
5493190 | Mueller | Feb 1996 | A |
5539289 | Wiget | Jul 1996 | A |
5598380 | Saurer et al. | Jan 1997 | A |
5729106 | Pientke et al. | Mar 1998 | A |
5773946 | Montero | Jun 1998 | A |
5804719 | Didelot et al. | Sep 1998 | A |
5818341 | Saurer et al. | Oct 1998 | A |
5844389 | Pientka et al. | Dec 1998 | A |
5847826 | Fukui et al. | Dec 1998 | A |
5872437 | Pientka et al. | Feb 1999 | A |
5920167 | Wiget et al. | Jul 1999 | A |
5990647 | Zettler | Nov 1999 | A |
6015449 | Hirota et al. | Jan 2000 | A |
6078056 | Teder | Jun 2000 | A |
6091065 | Teder | Jul 2000 | A |
6124691 | Teder | Sep 2000 | A |
6144022 | Tenenbaum et al. | Nov 2000 | A |
6175205 | Michenfelder et al. | Jan 2001 | B1 |
6184642 | Ausiello | Feb 2001 | B1 |
6218741 | Braun et al. | Apr 2001 | B1 |
6232603 | Nelson | May 2001 | B1 |
6262407 | Teder | Jul 2001 | B1 |
6275231 | Obradovich | Aug 2001 | B1 |
6329923 | Hog | Dec 2001 | B2 |
6353392 | Schofield et al. | Mar 2002 | B1 |
6392218 | Kuehnle | May 2002 | B1 |
6420845 | Mackel et al. | Jul 2002 | B1 |
20010028234 | Banhidy | Oct 2001 | A1 |
20010038335 | Hog | Nov 2001 | A1 |
20020020804 | Bauer et al. | Feb 2002 | A1 |
Number | Date | Country |
---|---|---|
0308990 | Mar 1989 | EP |
59045247 | Mar 1984 | JP |
59045248 | Mar 1984 | JP |
59045249 | Mar 1984 | JP |
WO-03027720 | Apr 2003 | WO |
Number | Date | Country | |
---|---|---|---|
20050017666 A1 | Jan 2005 | US |