The invention pertains to ambient condition detectors. More particularly, the invention pertains to such detectors which incorporate multiple, different ambient condition sensors.
Fire is a self-sustained fuel oxidation process that produces changes in the surrounding environment such as:
Fire detection devices rarely go into alarm, but even when they do it is at times the case that alarm is not due to a fire. For example, dust can be mistaken for a fire-produced smoke and alarm is generated. There is a need to minimize number nuisance alarms like that one while maintaining or improving speed of response to a real fire.
Successful discrimination between fires and nuisances depends on the ability to sense different characteristics of fires in cost-efficient way. Signal processing from multiple sensors minimizes the probability of generating an alarm due to a nuisance stimulus while increasing speed of response to a real fire.
Choice of a sensing element, or elements, depends on many factors. Sensors should preferably be responsive to many if not all types of fire. A sensor should also be reliable, rugged, small, and inexpensive, with a good signal-to-noise ratio while consuming small amounts of electrical power.
While embodiments of this invention can take many different forms, specific embodiments thereof are shown in the drawings and will be described herein in detail with the understanding that the present disclosure is to be considered as an exemplification of the principles of the invention, as well as the best mode of practicing same, and is not intended to limit the invention to the specific embodiment illustrated.
Objects which exhibit periodic motion, such as quartz crystal oscillators operating under standard pressure and temperature conditions resonate at natural frequencies that are determined by geometry, mass density, other properties of the crystal and the viscous drag force. In case of fire, smoke particulates also have an impact on motion of such objects, including crystal resonators. The viscosity of air depends on both concentration of chemical constituents that are present in the ambient and temperature. Therefore, appropriately configured crystal oscillators can be used to sense fires. Alternately, other types of devices which exhibit periodic motion, for example nano-motors, can also be used to sense conditions associated with fires.
In accordance with the invention, at least one acoustic resonator, for example, a quartz crystal oscillator, or, other type of acoustic resonator can be incorporated as one of the sensors in a multi-criteria fire detector. Quartz resonators change resonant frequency and resonator Q-factor when a local fire changes ambient conditions. Measurements of those two quantities, alone or in combination with outputs from other types of sensors, can be used as indicators of fire.
Quartz resonators can also be configured to measure speed of sound, attenuation of sound and frequency dispersion of sound when fire events occur. These three quantities also change in fires. Measurements of changes in one or more quantities (resonant frequency, Q-factor, speed of sound, attenuation of sound and frequency dispersion of sound) can be used as an additional factor in determining the presence of a fire condition. One or more resonators can be used alone or, along with other types of ambient condition sensors in multi-criteria detectors.
Quartz resonators come in hermetically sealed packages since exposure to ambient has an impact on both resonant frequency and Q-factor of the resonator. In this regard, known tuning forks are often provided in hermetically sealed packages. Representative units often have a resonant frequency of 32768 Hz and Q-factor of ˜50,000. When exposed to an ambient atmosphere, the resonant frequency drifts with environmental changes and Q-factor drops to ˜8,000 because of the effects of the viscosity of ambient air.
Changes in resonant frequency and Q-factor of a single acoustic resonator, such as a tuning fork, can be sensed and used as a fire indicator. One may monitor changes in both resonant frequency and Q-factor of a single tuning fork as a fire indicator since changes in composition and temperature of air will have an impact on viscosity of air. Additionally, one can use two or more acoustic resonators, such as tuning forks, to measure speed or velocity of sound and attenuation of sound as sensing quantities.
It will be understood that various types of vibratory sensing elements come within the spirit and scope of the invention. These include, without limitation, other types of mechanical oscillators, electrical oscillators, electro-mechanical structures such as piezoelectric devices or nano-motors. Neither the specific mechanical configuration, nor the electrical output characteristics of such devices are limitations of the present invention.
Resonator response can be enhanced by changing surface roughness to increase drag forces due to airborne particulate matter, such as smoke particles. Alternately, the housing or container for such sensors can be designed to increase drag forces.
Sensor sensitivity to particular airborne particulate matter can be altered by use of one or more surface coatings. Coatings of zeolites, or surfactants, for example can be used. If a surface of a resonator, for example, a crystal oscillator, or a tuning fork is coated with a surfactant that repels water, or a zeolite that absorbs a specific gas then the device's mass will be affected with a resulting alternation of its resonant frequency.
Detector 10 can be carried by and within housing 24. Processing unit 20 can be located within housing 24, or can be distributed with part in housing 24 and part located at a displaced alarm monitoring and control system. Unit 20 can be implemented with one or more programmable processors, such as 20a which can execute local, control software 20b stored on a computer readable medium.
The differences between signals output by sensors 32, 34 are an indication of the affect of airborne smoke related particulate matter on resonator functioning. Outputs of all sensors 32-40 are coupled to processing unit 42, local or in part displaced as discussed above. Processing unit 42 can carry out predetermined multi-sensor processing to establish either a developing or actual fire condition and produce an indicium thereof 44.
Processing unit 62 can evaluate the differences between signals from sensors 52, 54 to establish an indication of temperature in the immediate area and its affect on the operation of sensor 54. Processing unit 62 can then generate an indicium 64 indicative of either a developing or an actual fire condition.
Analyzing the combination of output signals from the three sensors 72-76 enables signal processing unit 86 to evaluate the extent of particulate matter in the air, temperature of the air and chemical composition changes in the ambient. Signal processing unit 86 also processes signals from ambient condition sensors, 78, 82 . . . of a type discussed above and then generates alarm condition indicator on its output 88. The indicator at output 88 can be announced either locally or from a common fire alarm control unit that processes outputs from a plurality of fire detectors.
In embodiments which incorporate two or more acoustic resonators, for example crystal oscillators, it is useful to supervise and track responses for each crystal oscillator. In fact, normal ambient conditions may involve sizeable changes in humidity, temperature and CO2 concentration (e.g. meeting in a small conference room). Signal processing unit 86 can, for example, identify signals that can be characterized as normal ambient variations which do not generate alarms. Hence, a normal clear air baseline that is used to detect fire event can be adjusted in accordance with such variations.
Other possible electronic arrangements include:
Placing a resonator, such as a tuning fork in an oscillator circuit whose output is coupled to a narrow band-pass filter, which could be implemented preferably digitally using software, or in hardware.
Placing a resonator, such as a tuning fork in an oscillator circuit. The resulting signal can be mixed with a fixed oscillator signal. The resulting low-frequency (beat) signal can be analyzed for detection of fire event.
An acoustic oscillator can be driven with a single-frequency sinusoidal wave. The response can be subjected to a phase-locked loop analysis in hardware (or DSP software) for a determination of phase shift (that can be used for fire detection as well). Amplitude measurements of course can also be used.
In case of two or more oscillators a voltage follower can be used to decouple signals from sensors and then mix those signals for further analysis.
From the foregoing, it will be observed that numerous variations and modifications may be effected without departing from the spirit and scope of the invention. It is to be understood that no limitation with respect to the specific apparatus illustrated herein is intended or should be inferred. It is, of course, intended to cover by the appended claims all such modifications as fall within the scope of the claims.
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