SMOKE DETECTOR SENSITIVITY FOR BUILDING HEALTH MONITORING
20220148403 · 2022-05-12
Inventors
- Slade R. Culp (Coventry, CT, US)
- Peter R. Harris (Jupiter, FL, US)
- Jennifer Alexander (Glastonbury, CT, US)
- Rajiv Ranjan (East Syracuse, CT, US)
Cpc classification
F24F11/33
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
H04L67/125
ELECTRICITY
G08B17/10
PHYSICS
G08B21/182
PHYSICS
International classification
G08B17/10
PHYSICS
F24F11/33
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F24F11/58
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
G08B27/00
PHYSICS
Abstract
A detection system including a smoke detector configured to transmit a detector baseline signal to at least one of a control panel and a server (e.g., to establish at least one indoor air quality trend), and a method for monitoring indoor air quality with at least one smoke detector are provided. The smoke detector includes a processor configured determine whether a current condition indicates a need to trigger an alarm. The smoke detector is configured to measure a baseline. The detector baseline signal is used (e.g., by the control panel and/or the server) to establish at least one indoor air quality (IAQ) trend.
Claims
1. A detection system comprising: a smoke detector comprising processor configured to determine whether a current condition indicates a need to trigger an alarm, wherein the smoke detector is configured to measure a baseline; and at least one of a control panel and a server, at least one of the control panel and the server configured to receive and compile detector baseline signal to establish at least one indoor air quality (IAQ) trend.
2. The detection system of claim 1, wherein each detector is configured to compensate for detector baseline drift.
3. The detection system of claim 1, wherein the control panel is configured to receive detector baseline signals from multiple smoke detectors.
4. The detection system of claim 3, wherein each respective smoke detector is configured to detect ambient materials within a room of a building, each building comprising at least one control panel.
5. The detection system of claim 4, wherein the server is communicatively connected to at least one control panel.
6. The detection system of claim 1, wherein at least one of the control panel and the server are configured to trigger a notification when an IAQ trend meets a certain criteria.
7. The detection system of claim 1 wherein at least one of the control panel and the server are operably connected to an HVAC system, at least one of the control panel and the server configured to execute one or more HVAC system controls in response to at least one indoor air quality (IAQ) trend.
8. The detection system of claim 1, further comprising a mobile device communicatively connected to at least one of the control panel and the server.
9. The detection system of claim 8, wherein the mobile device comprises an application, at least one indoor air quality (IAQ) trend viewable in the application.
10. The detection system of claim 8, wherein the mobile device comprises at least one of a mobile phone, a mobile tablet, and a computer.
11. A method for monitoring indoor air quality with at least one smoke detector, each respective smoke detector comprising a processor configured to determine whether a current condition indicates a need to trigger an alarm, wherein each respective smoke detector is configured to measure a baseline, the method comprising: transmitting at least one detector baseline signal from at least one smoke detector to at least one of a control panel and a server; and compiling, in at least one of the control panel and the server, the detector baseline signals to establish at least one indoor air quality (IAQ) trend.
12. The method of claim 11, wherein each detector is configured to compensate for detector baseline drift.
13. The method of claim 11, wherein the control panel is configured to receive detector baseline signals from multiple smoke detectors.
14. The method of claim 11, further comprising triggering, with at least one of the control panel and the server, a notification when an IAQ trend meets a certain criteria.
15. The method of claim 14, further comprising executing, with at least one of the control panel and the server, one or more HVAC system controls of an HVAC system in response to an IAQ trend.
16. The method of claim 11, wherein a mobile device is communicatively connected to at least one of the control panel and the server.
17. The method of claim 16, wherein the mobile device comprises an application, at least one indoor air quality (IAQ) trend viewable in the application.
18. The method of claim 16, wherein the mobile device comprises at least one of a mobile phone, a mobile tablet, and a computer.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0025] The subject matter, which is regarded as the disclosure, is particularly pointed out and distinctly claimed in the claims at the conclusion of the specification. The following descriptions of the drawings should not be considered limiting in any way. With reference to the accompanying drawings, like elements are numbered alike:
[0026]
[0027]
[0028]
[0029]
[0030]
[0031]
DETAILED DESCRIPTION
[0032] A detection system including a smoke detector configured to transmit a detector baseline signal (which may also be called a clean air signal) to at least one of a control panel and a server (in order to establish at least one indoor air quality (IAQ) trend), and a method for monitoring general indoor air quality trends with at least one smoke detector are provided. Rather than only using the detector baseline drift data to employ drift compensation to the smoke detector (i.e. to ensure that the smoke detector is able to consistently and accurately detect the presence of smoke as dust accumulates), the detection system described herein further utilizes the detector baseline data to provide insightful IAQ trends. It should be appreciated that these IAQ trends are capable of being provided without necessitating additional hardware (i.e. no independent IAQ specific detectors are required to produce the IAQ trends illustrated herein). By utilizing existing smoke detectors and existing detector baseline drift data, the cost and complexity of installing the detection system may be minimal (e.g., when compared to existing air quality monitoring systems that require dedicated, independent pieces of hardware). It is envisioned that these IAQ trends may be useful to estimate building health in comparison with historic trends or other buildings, which may empower building management systems to take action to improve building health. These IAQ trends may be provided in a wholistic manner (i.e. provided in the form of one IAQ trend for an entire building) and/or granular manner (i.e. provided in the form of one IAQ trend for a particular room, or even one IAQ trend for a particular smoke detector) in certain instances. For example, the IAQ trend(s) may provide room-to-room insights, or even building-to-building insights, which may be useful in situations such as university campuses, where multiple buildings are maintained by one entity. Although described herein to be particularly useful in commercial buildings and universities, it should be appreciated that the detection system described herein may be useful in any setting (e.g. residential, etc.).
[0033] With reference now to the Figures, a schematic illustration of an exemplary detection system 100 including multiple smoke detectors 10 configured to transmit detector baseline signals to at least one of a control panel 50 and a server 31 is shown in
[0034] An exemplary smoke detector 10 is shown in
[0035] When there is no smoke in the air, light emitted from the detector LEDs scatter off of the interior surface of the chamber and are received by the photodiode(s). This received signal in clean air (no smoke) is referred to here as the detector baseline. Over time, dust/dirt in the air can accumulate on the interior surface of the chamber 18. This causes the interior surfaces to scatter more light from the LEDs and increase the detector baseline (referred to as detector baseline drift). To compensate for detector baseline drift, the smoke detector 10 is configured to measure the detector baseline (and adjust the baseline if necessary). It should be appreciated that the detection system 100 described herein may incorporate multiple smoke detectors 10, each of which may be capable of measuring (and, if necessary, adjusting) their baseline to compensate for detector baseline drift. In certain instances the smoke detector 10 is configured to generate a fault when the smoke detector 10 reaches a certain level of dirtiness (the detector baseline exceeds a threshold). It is envisioned that the rate at which this detector baseline drift occurs may correlate to the indoor air quality (IAQ) of the environment in which the smoke detector 10 is placed (i.e. the drift rate may be faster in environments with more dust/dirt in the air).
[0036] As shown in
[0037] As shown in
[0038] For example, it is envisioned that the server 31 may be an application server in certain instances, and one or more mobile device(s) 40 may be seamlessly connected with the server 31 though an application, which may be either web-based or downloaded to the memory of the mobile device 40) so as to enable interaction (e.g., to view the IAQ trends, etc.) with the detection system 100. The mobile device(s) 40 described herein may include, among others, mobile phones, mobile tablet, or computers such as those running the Android™ operating system of Google Inc., of Mountain View, Calif., or the iOS™ operating system of Apple Inc., of Cupertino, Calif., or the BlackBerry™ operating system of BlackBerry Limited, of Waterloo, Ontario. The mobile device 40 may be programmed with an application (i.e. an app) that allows the mobile device 40 to interact (e.g., to view at least one IAQ trend, etc.). Exemplary mobile devices 40 displaying exemplary indoor air quality (IAQ) trends 70 are shown in
[0039]
[0040]
[0041]
[0042] At least one of the control panel 50 and the server 31 may be configured to trigger a notification 71 when an IAQ trend 70 (e.g., for a particular floor 27, room 25, detector 10, etc.) meets a certain criteria (e.g., such as an abnormality 72, etc.). An abnormality 72 may be viewed as a certain slope of the IAQ trend 70 (which may indicate a rapid change in the indoor air quality). It will be appreciated that a notification 71 may be triggered in the absence of an abnormality 72 in certain instances. For example, a notification 71 may be triggered periodically to routinely inform building management as to the IAQ trend(s) 70 even when there is no abnormality 72. These IAQ trends 70 may be useful to provide long-term (e.g., by the day, month, year, etc.) insights. As mentioned above, these trends may be useful to compare indoor air quality in a building-to-building or a room-to-room manner, which may assist with informing maintenance decisions and/or encouraging mitigation efforts (e.g., which may improve the health of those occupying the particular space).
[0043] These mitigation efforts may be in the form of executing one or more controls of an HVAC system 60 (shown in
[0044] As mentioned above, it is envisioned that the design and configuration of the detection system 100 described herein may make it possible to provide insightful indoor air quality trends with minimal cost and complexity (e.g., when compared to existing air quality monitoring systems that utilize dedicated, independent pieces of hardware). Instead of requiring new hardware, as is typical with air quality monitoring systems, the detection system 100 described herein utilizes readily available detector baseline data to provide insightful IAQ trends. These trends may be useful to estimate building health in comparison with historic trends, which may empower building management to take action to improve building health. It should be appreciated that the detection system 100 described herein may be useful in any environment (e.g., hospitals, restaurants, hotels, universities, etc.) that incorporates smoke detectors 10 which are capable of measuring (and, if necessary, adjusting) their baseline.
[0045] Regardless of the setting in which the detection system 100 is utilized, the method for monitoring indoor air quality may be the same. An exemplary method 600 for monitoring indoor air quality with at least one smoke detector 10 is shown in
[0046] The use of the terms “a” and “and” and “the” and similar referents, in the context of describing the invention, are to be construed to cover both the singular and the plural, unless otherwise indicated herein or cleared contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”, “e.g.”, “for example”, etc.) provided herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed elements as essential to the practice of the invention.
[0047] While the present disclosure has been described with reference to an exemplary embodiment or embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from the essential scope thereof. Therefore, it is intended that the present disclosure not be limited to the particular embodiment disclosed as the best mode contemplated for carrying out this present disclosure, but that the present disclosure will include all embodiments falling within the scope of the claims.