Not Applicable
This application relates generally to a device and method for preventing wind damage to a retractable awning.
Many buildings and recreational vehicles employ retractable awnings to temporarily shield an area from environmental effects like sun or rain. Awning retraction allows sun in when desired, and where an awning is attached to a vehicle, it reduces the footprint and drag of the awning when the vehicle is under way. However, retractable awnings are generally more vulnerable to wind damage than permanent awnings, and often need to be retracted in high or gusty winds.
Known systems for automatically retracting such an awning are generally configured to retract an awning in response to a comparison of a sensed awning movement to an arbitrarily defined threshold amplitude. If the awning deflects by a certain amount of deflection, or deflects with a certain speed, known retraction systems will determine that wind conditions are dangerous and will retract the awning. Known systems of this type, however, are unable to diagnose and analyze subtler awning behaviors that might have more predictive utility than predetermined awning movement thresholds.
For example, in response to impingement of even a relatively low velocity wind from certain angles, an awning may begin to oscillate. The oscillation may involve only a small deflection—perhaps insufficient to meet a predetermined threshold for a damaging one-time deflection—but may, nonetheless be capable of causing a deleterious amount of fatigue to a structure if the oscillation occurs at certain frequencies and/or is sustained for a sufficient period of time. The threshold settings or sensor configurations of known systems cannot be practically tuned to prevent awning damage in such situations without becoming prone to unnecessarily retracting an awning.
A device for preventing wind damage to a retractable awning is provided. The device comprises a sensor configured and positionable to detect movement of a portion of a retractable awning and to generate corresponding movement signals, and a processor in communication with the sensor and configured to detect an oscillatory characteristic of the movement signals and generate an awning retraction signal if the oscillatory characteristic meets a predetermined retraction criterion.
Alternatively, the device may comprise a gyroscopic sensor supportable on a portion of a retractable awning and configured to detect angular movement of the awning portion and to generate corresponding angular movement signals, and a processor in communication with the gyroscopic sensor. In a device constructed according to this embodiment, the processor is configured to detect predetermined angular movement signal events in the angular movement signals and to calculate time elapsed between the angular movement signal events. to the processor transmits a retraction signal when an angular movement signal characteristic relating to time elapsed between angular movement signal events meets at least one predetermined retraction criterion.
A method for preventing wind damage to a retractable awning is also provided. The method comprises the steps of sensing movement of a portion of a retractable awning, determining an oscillatory characteristic of the awning portion movement, comparing the oscillatory characteristic to a predetermined retraction criterion, and transmitting an awning retraction signal if the oscillatory characteristic meets the predetermined retraction criterion.
These and other features and advantages will become apparent to those skilled in the art in connection with the following detailed description and appended drawings, in which:
A device for preventing wind damage to a retractable awning is generally indicated at 10 in
As shown in
As best shown in
As shown in
These oscillatory characteristics of the signals generated by the sensor 12 reflect oscillatory motions of the awning 18 and, more importantly, can be used as subtle clues to diagnose the state of both the wind and the awning 18. For example, wind hitting the awning 18 with different speeds, angles and gust patterns may cause the awning 18 to billow and flutter in different ways. Small wind gusts may produce low magnitude rates of angular motion in the awning 18 with low sinusoidal periods, while larger wind gusts may produce larger magnitude rates of angular motion with increased sinusoidal periods. A modest wind of some particular combination of strength and direction may even cause the awning 18 to begin to flutter at a self-reinforcing harmonic frequency.
To diagnose this kind of data, and determine whether or not it meets a predetermined retraction criterion, the processor 14 may be programmed to determine the oscillatory characteristic of the movement signals received from the sensor 12 by, for example, calculating the period of an oscillation of at least a portion of at least one of the movement signals. Steps that the processor 14 may be programmed to execute to calculate such an oscillation period are as follows: [INVENTORS, PLEASE INSERT BEST CURRENT EXAMPLE OF ACTUAL STEPS/CALCULATIONS]
The processor 14 may also, or alternatively, be configured to calculate and monitor sinusoidal (or sinusoidal-like) periods of oscillatory waves in movement signals as they are generated within a predetermined moving time window. The moving time window may be predetermined in such a way as to optimize detection of damaging awning motion based on sinusoidal periodicity of the movement signals. For example, the window may be tuned so that the processor 14 ignores data that might be too old or too new to be significantly relevant or reliable.
As shown in
One or more of the angular movement signal event types that the processor 14 may be programmed to detect, may comprise a zero-crossing event, i.e., a passage upward or downward through a zero value by a waveform of the angular movement signal. Alternatively, or in addition, one or more of the angular movement signal event types that the processor 14 may be programmed to detect may comprise a peak event or a nadir event i.e., the attainment of a peak or nadir value of the waveform of the angular movement signal.
The processor 14 may also, or alternatively, be programmed to calculate time elapsed between the angular movement signal events, and to transmit a retraction signal when an angular movement signal characteristic relating to time elapsed between angular movement signal events meets at least one predetermined criterion such as a minimum or maximum elapsed time value.
The processor 14 may also, or alternatively, be programmed to transmit the retraction signal when a frequency of occurrence of the angular movement signal events reaches a predetermined value. Alternatively, or in addition, the processor 14 may be programmed to transmit the retraction signal when both the amplitude of angular motion and the angular movement signal event frequency reach predetermined values.
Alternatively, or in addition, the processor 14 may be programmed to measure time elapsed between angular movement signal events detected within a predetermined moving time window, where the size of the moving time window is optimized to detect damaging awning motion based on elapsed time between the angular movement signal events.
As shown in
In practice, and as shown in
The movement of a portion 16 of a retractable awning 18 may be sensed by sensing the angular movement of the portion 16 of the awning, and generating corresponding angular movement data. Once this data is generated and available for analysis, as shown in decision step 36, unwanted noise may be removed from the angular movement data by applying a filter to the angular movement data as shown in action step 38. The removal of unwanted noise may also or alternatively include tuning at least one filter to block or pass angular movement data having a frequency of a predetermined value or falling within a predetermined range of values. For example, the processor 14 may be programmed to include a high pass filter (as shown in action step 38) tuned to remove DC bias in signals generated in response to sensed movements, while other additional or alternative filters may be tuned to block frequencies typical of harmlessly slow winds, or high frequency noise generated by nearby electronics.
As shown in action steps 40 and 42 of
Alternatively, or in addition, the determination of an oscillatory characteristic of the awning portion movement may include monitoring elapsed times between the predetermined types of events as those events occur within a moving time window, where the moving time window is optimized to allow for detection of damaging awning motion based on elapsed time between the rate of movement signal events.
A device configured according to the various embodiments recited above, and employed according to the method recited above, is able to identify any number of structurally dangerous combinations of oscillatory characteristics, signal events, and amplitudes of motion, etc., in order to reactively or preventatively retract an awning before it incurs serious damage from wind activity. Notably, according to a preferred embodiment, the device and method may be constructed and performed via the angular motion data of a single gyroscopic sensor, although other embodiments may employ additional sensors and data types to improve accuracy.
This description, rather than describing limitations of an invention, only illustrates preferred embodiments of the invention recited in the claims. The language of this description is therefore exclusively descriptive and is non-limiting. Obviously, it's possible to modify this invention from what the description teaches. Within the scope of the claims, one may practice the invention other than as described above.
This is a U.S. Non-provisional patent application claiming the benefit of priority from U.S. provisional patent application No. 62/555,244 filed on Sep. 7, 2017, the entire contents of which are incorporated herein.
Number | Date | Country | |
---|---|---|---|
62555244 | Sep 2017 | US |