This disclosure relates generally to emergency systems and, more particularly, to a method, a device and a system of sensor-based breathable air quality monitoring in a safety system of a structure.
A structure (e.g., a vertical building, a horizontal building, a tunnel, marine craft, a mine) may have a Firefighter Air Replenishment System (FARS) implemented therein. The FARS may be employed to provide pure and safe breathable air to emergency personnel and/or maintenance personnel associated therewith. During contamination of the breathable air through the FARS and/or anomalous levels of components (e.g., carbon monoxide, carbon dioxide) thereof, the emergency and/or the maintenance personnel may be exposed to adverse health and/or life hazards thereto.
In order to ensure that the breathable air across the FARS conforms to safety standards, an authority (e.g., a laboratory, a governmental organization) may have to test the breathable air and/or one or more components of the FARS and certify a quality of the breathable air and/or the one or more components of the FARS. Operations involved in a traditional process of certifying the FARS and/or the breathable air thereacross may prove to be tedious, time-consuming and/or ineffective in terms of efficiency and costs involved.
Disclosed are a system, a device and a method of sensor-based breathable air quality monitoring in a safety system of a structure.
In one aspect, a safety system of a structure includes a fixed piping system installed within the structure to facilitate delivery of breathable air from a source of compressed air, and an air quality analyzer coupled to the fixed piping system. The air quality analyzer includes an air sequestration chamber in which a portion of the breathable air is segregated for analysis as an air sample, and one or more sensor(s) to sense one or more air quality parameter(s) from the air sample within the air sequestration chamber. The safety system also includes an analysis module to perform analysis of the sensed one or more air quality parameter(s) based on coupling thereof to the air quality analyzer and to transmit data associated with the analysis over a communication link.
In another aspect, an air quality analyzer coupled to a fixed piping system implemented within a safety system of a structure, with the fixed piping system distributing breathable air from a source across the safety system, is disclosed. The air quality analyzer includes an air sequestration chamber in which a portion of the breathable air is segregated for analysis as an air sample, and one or more sensor(s) to sense one or more air quality parameter(s) from the air sample within the air sequestration chamber. The air quality analyzer also includes an analysis module to perform analysis of the sensed one or more air quality parameter(s) and to transmit data associated with the analysis over a communication link.
In yet another aspect, a method of a safety system of a structure having a fixed piping system implemented therewithin to facilitate delivery of breathable air from a source across the safety system is disclosed. The method includes segregating a portion of the breathable air for analysis as an air sample, and sensing one or more air quality parameter(s) from the air sample. The method also includes performing analysis of the sensed one or more air quality parameter(s), and transmitting data associated with the analysis over a communication link.
The methods and systems disclosed herein may be implemented in any means for achieving various aspects, and may be executed in a form of a non-transitory machine-readable medium embodying a set of instructions that, when executed by a machine, cause the machine to perform any of the operations disclosed herein. Other features will be apparent from the accompanying drawings and from the detailed description that follows
The embodiments of this invention are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements and in which:
Other features of the present embodiments will be apparent from the accompanying drawings and from the detailed description that follows.
Example embodiments, as described below, may be used to provide a method, a device and a system of sensor-based breathable air quality monitoring in a safety system of a structure. Although the present embodiments have been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the various embodiments.
In one or more embodiments, structure 101 may encompass vertical building structures, horizontal building structures (e.g., shopping malls, hypermarts, extended shopping, storage and/or warehousing related structures), tunnels, marine craft (e.g., large marine vessels such as cruise ships, cargo ships, submarines and large naval craft, which may be “floating” versions of buildings and horizontal structures) and mines. Other structures are within the scope of the exemplary embodiments discussed herein.
In one or more embodiments, safety system 100 may include an air quality analyzer 105 coupled (e.g., permanently affixed) to fixed piping system 104. In one or more embodiments, air quality analyzer 105 may be configured to conduct a set of specialized tests to check and/or monitor the quality of breathable air within safety system 100. In one or more embodiments, air quality analyzer 105 may collect a sample (e.g., refer to air sample 608 of
As shown in
In one or more embodiments, an air monitoring system 150 may be installed as part of safety system 100 to automatically track and monitor a parameter (e.g., pressure) and/or a quality (e.g., indicated by moisture levels, carbon monoxide levels, etc.) of the breathable air within safety system 100.
In one or more embodiments, fixed piping system 104 may include pipes (e.g., constituted out of stainless steel tubing) that distribute breathable air to a number of emergency air fill stations 1201-P within structure 101. The emergency air fill station 1201-P may be an emergency air fill panel and/or a rupture containment air fill station. In one or more embodiments, proximate each emergency air fill station 1201-P, safety system 100 may include an isolation valve 1601-P to isolate a corresponding emergency air fill station 1201-P from a remainder of safety system 100. For example, said isolation may be achieved through the manual turning of isolation valve 1601-P proximate the corresponding emergency air fill station 1201-P and/or remotely from air monitoring system 150. It should be noted that configurations and components of safety system 100 may vary from the example safety system 100 of
Thus, in one or more embodiments, components of safety system 100 including air quality analyzer 105/air monitoring system 150 may be communicatively coupled to data processing device 270/breathable air supply command center 280 via a computer network 204 (e.g., a Wide Area Network (WAN), a Local Area Network (LAN), a short-range communication network).
In one or more embodiments, display module 303 may be installed at key locations of structure 101. In one or more implementations, display module 303 may be made of a material having fire-rated capabilities. In one or more embodiments, display module 303 may communicate through wired and/or wireless means (e.g., through computer network 204) with external devices including computing/data processing systems (e.g., data processing device 270). In some implementations, a camera (not shown) installed on or associated with display module 303 may be integrated with data processing device 270 to provide visual images and/or audio data in the vicinity thereof within structure 101. The air quality parameters may be monitored as per standard fire safety guidelines (e.g., National Fire Protection Association (NFPA), Occupational Safety and Health Administration (OSHA) and/or Compressed Gas Association (CGA) standards).
In one or more embodiments, air quality analyzer 105 may be a sensor-based device to automatically detect air quality parameters 390 on a continual basis. In an implementation, air monitoring system 150 may be equipped with not less than two content analyzers (e.g., air quality sensors) capable of detecting carbon monoxide, carbon dioxide, nitrogen, oxygen, moisture, and/or hydrocarbon levels in the breathable air. The sensors (to be discussed below) of air quality analyzer 105 may detect/sense deviation in air quality parameters 390 of the breathable air that is also displayed by the display module 303, according to one or more embodiments. In one or more embodiments, air quality analyzer 105 may be integrated with computer network 204; in one or more embodiments, in the case of computer network 204 being a cloud computing network, all capabilities and services offered therethrough may be leveraged by air monitoring system 150/air quality analyzer 105. In one or more embodiments, computer network 204 may store data from air quality analyzer 105 and/or data analyzed therefrom on the “cloud” (e.g., over the Internet).
In one or more embodiments, air quality analyzer 105 may continuously send air quality parameters 390 (e.g., air component parameters, temperature, pressure, etc.) of breathable air supply system 200 units to data processing device 270 (e.g., at breathable air supply command center 280) through computer network 204. In one or more embodiments, emergency personnel 122 at data processing device 270 may remotely manage and continuously monitor breathable air supply system 200 including air monitoring system 150/air quality analyzer 105.
In one or more implementations, display module 303 may also include indicator lights (not shown; e.g., Light Emitting Diode (LED) based lights). For example, whenever certain air quality parameters 390 (e.g., temperature, pressure, moisture) go out of range, one or more indicator light(s) may change a color thereof from green to red, with the green color indicating that the relevant air quality parameters 390 are within threshold limits and the red light indicating that the aforementioned air quality parameters 390 are not within the threshold limits. Further, in some implementations, display module 303 may include a Quick Response (QR) code scanner (not shown) to enable authorized users (e.g., emergency personnel 122) to scan with data processing devices (e.g., data processing device 270 in the form of a mobile device) and check air quality parameters 390.
A Metal Oxide Semiconductor (MOS) sensor 506 of air quality analyzer 105 may detect the concentration of various types of gases in the breathable air/air sample by measuring a change in resistance of a metal oxide due to adsorption of gases in the breathable air/air sample. An infrared (IR) sensor 508 of air quality analyzer 105 may measure and detect infrared radiation in a vicinity of air quality analyzer 105.
Outputs 510 may be in the form of electrical signals used to identify air components of the breathable air/air sample. The electrical signals may be generated by sensors including the sensors discussed herein. An input 512 may be an intake of the breathable air/air sample (e.g., through a hose) from compressed air source 108/another compressed air source 109/air storage system 106. An electromechanical gas sensor 516 of air quality analyzer 105 may be operated based on a diffusion of a gas of interest (e.g., air components of the breathable air/air sample) thereinto. Said diffusion may result in generation of an electrical signal proportional to a concentration of the gas of interest.
A dew point sensor 518 of air quality analyzer 105 may be used to measure and monitor a dew point temperature of the breathable air/air sample. An audio alarm 520 may be a transducer device to generate an audible alert once an emergency state is detected by air quality analyzer 105 based on data from the sensors. A power input 522 may be an input corresponding to an amount of energy put into and/or consumed by air quality analyzer 105. Connectors 524 maybe links between electrical components of air quality analyzer 105.
An alarm relay 526 may be an electric switch that activates circuitry to protect the sensors against abnormal power conditions. The abnormal power conditions may include but are not limited to voltage surges, electrical transients, short circuits, overvoltage and overcurrent. During said abnormal power conditions, alarm relay 526 may automatically isolate the sensors by opening and/or breaking the circuit from a power supply. Alarm relay 626 may also activate circuits/devices to bypass storage system 106/compressed air source 108/another compressed air source 109 when anomalies (e.g., contamination in the breathable air/air sample) and/or faults (e.g., fire hazards, pressure variations, deviation in air quality parameters 390) are detected by the sensors. In one or more embodiments, air monitoring system 150 may be made of fire-rated material to protect safety system 100 from physical damage during hazardous situations. Further, in one or more embodiments, air monitoring system 150 may be made of weather-resistant and/or UV/solar/infrared radiation-resistant material/material(s) to prevent corrosion and/or deterioration of components thereof due to prolonged exposure to harsh environmental and/or weather conditions.
In one or more embodiments, an intake pump 606 may ingest a quantity of breathable air 603 through fixed piping system 104. In one or more embodiments, intake pump 606 may deliver the ingested breathable air 603 into an air sequestration chamber 650 inside air quality analyzer 105. In one or more embodiments air sequestration chamber 650 may segregate a portion of breathable air 603 for analysis as an air sample 608. In one or more embodiments, air sequestration chamber 650 may be communicatively coupled with sensors 602 (e.g., an array of sensors including but not limited to flow sensor 502, PID sensor 504, MOS sensor 506 and the sensors to be discussed in conjunction with
In one or more embodiments, an analysis module 670 of air quality analyzer 105 may receive the sensed (e.g., by sensors 602) air quality parameters 390 and perform analyses (e.g., analyzed sensor data 682) thereof.
In one or more embodiments, communication link 686 may also represent a communication interface to computer network 204 whereby air quality parameters 390 and/or analyzed sensor data 682 are transmitted by analysis module 670 to data processing device 270 (e.g., remote from air quality analyzer 105) for analyses/further analyses thereat. In the case of analysis module 670 being internal to air quality analyzer 105 as in
In one or more embodiments, air sample 608 may be released (e.g., using an electronically controlled valve) following completion of analysis of air quality parameters 390 by analysis module 670 after which a new air sample (e.g., analogous to air sample 608) may be ingested (or supplied) into air sequestration chamber 650. In one or more embodiments, air quality analyzer 105 may further include a calibration module 610 (e.g., a device/device module) associated with sensors 602 to compare a characteristic (e.g., a zero error) of breathable air 603/air sample 608 based on analyzed sensor data 682 to known calibration data 690 stored in calibration module 610. In one or more embodiments, response to determining that the characteristic is dissimilar to the known calibration data 690, calibration module 610 may adjust parameters of air quality analyzer 105 to account for the dissimilarity.
In one or more embodiments, air quality analyzer 105 may, via communication link 686, receive instructions from breathable air supply command center 280 (e.g., remote fire command center 215, fire control room 213) to transform and/or transition safety system 100 to an emergency state (e.g., emergency state 190 in
In one or more embodiments, as discussed above, air quality analyzer 105 may transmit air quality parameters 390 and/or analyzed sensor data 682 over communication link 686 (e.g., via computer network 204) to a remote certification laboratory (e.g., can also be regarded as being hosted on data processing device 270). In one or more embodiments, the remote certification laboratory may employ a set of certified and/or accredited professionals (e.g., can also be regarded as emergency personnel 122) who remotely certify the FARS of structure 101 based on the received air quality parameters 390 and/or analyzed sensor data 682.
In one or more embodiments, the remote certification laboratory may manually and/or automatically conduct a set of specialized tests through air quality analyzer 105, such as longer tests (e.g., 30 minutes or more) and shorter tests (e.g., just a few minutes) on demand. For the aforementioned purpose, in one or more embodiments, the remote certification laboratory may transmit appropriate control signals. Thus, in one or more embodiments, the remote certification laboratory may have full access to monitor, control, regulate, and operate safety system 100/breathable air supply system 200 during certification of safety system 100. It should be noted that other components (e.g., emergency air fill stations 1201-P) of safety system 100 may have sensors analogous to sensors 602 and devices analogous to air quality analyzer 105. In one or more embodiments, remote control and certification of one or more components of safety system 100 may thus be possible based on access to data analogous to air quality parameters 390 and/or analyzed sensor data 682 via communication links analogous to communication link 686. In some embodiments, each time safety system 100 is certified, a certification may be written permanently into a distributed ledger and/or a blockchain (e.g., Ethereum™ blockchain, Solana™ blockchain) associated with data processing device 270 for redundant and/or secondary record keeping purposes.
In some embodiments, air quality analyzer 105/air monitoring system 150 may be configured to automatically detect emergency state 190 in accordance with the conditions discussed above.
In one or more embodiments, reception of air quality parameters 390 and/or analyzed sensor data 682 via computer network 204 at remote certification laboratory 850 may render it feasible for the remote certification of safety system 100/air monitoring system 150/air quality analyzer 105 to occur. In one or more embodiments, remote certification laboratory 850 may include an analysis unit 802 (e.g., a data processing device such as a server) including a processor 822 (e.g., a processor core, a network of processors, a processor) communicatively coupled to a memory 824 (e.g., a volatile and/or a non-volatile memory and/or a database). In one or more embodiments, memory 824 may have historical data 826 (e.g., relevant to safety system 100/air quality analyzer 105 and breathable air 603 therein) and predefined air quality parameters/thresholds 828 (e.g., nitrogen level, oxygen level, carbon monoxide level, pressure level) relevant to breathable air 603 discussed above stored therein.
In some embodiments, analysis module 670 may also be at data processing device 270/remote certification laboratory 850; here, data processing device 270/remote certification laboratory 850 may receive air quality parameters 390 via computer network 204 and perform analysis thereof. In one or more embodiments, analysis unit 802 may utilize air quality parameters 390 and predefined air quality parameters/thresholds 828 to automatic bypass air storage system 106/compressed air source 108/another compressed air source 109 discussed above. In some embodiments, analysis unit 802 may execute one or more artificial intelligence algorithms 891 (e.g., stored in memory 824 and executable through processor 822) for advanced profiling and/or testing of breathable air 603/air sample 608 through safety system 100. In one or more embodiments, in accordance with analysis module 670 being external to air quality analyzer 105, a situational awareness recommendation 830 (e.g., reaction protocols during emergency state 190) may be transmitted to breathable air supply command center 280 and/or data processing device 270 (e.g., associated with emergency personnel 122) through/via/over communication link 686; the one or more artificial intelligence algorithms 891 may be employed for regression analysis 860 of air quality parameters 390 to provide situational awareness recommendation 830.
In some embodiments, the profiling and/or testing through analysis unit 802 of remote certification laboratory 850 may provide for accreditation of air quality of breathable air 603 within safety system 100 when the results of the profiling/testing yield that air quality parameters 390 are within the predefined air quality parameters/thresholds 828; the aforementioned accreditation may be provided in the form of a certificate to breathable air supply command center 280 and/or data processing device 270 (e.g., associated with emergency personnel 122). In one or more embodiments, when the results of the profiling/testing yield that air quality parameters 390 are not within predefined air quality parameters/thresholds 828, remote certification laboratory 850/analysis unit 802 may generate alert signal 834 to notify breathable air supply command center 280 and/or data processing device 270 of emergency state 190 of safety system 100.
In some implementations, alert signal 834 may automatically activate appropriate devices to switch off supply of breathable air 603 from compressed air source 108/another compressed air source 109/air storage system 106 and, thereby, isolate compressed air source 108/another compressed air source 109/air storage system 106 from safety system 100. Alert signal 834 additionally may activate the appropriate devices to automatically connect a different compressed air source (e.g., another compressed air source 109) to safety system 100/emergency air fill stations 1201-P to ensure a continuous supply of breathable air 603 within safety system 100, according to one or more embodiments.
As shown in ‘(b)’, upon authentication, example user interface 954 may display a remote Human-Machine Interface (HMI) tab 908, a mobile dashboard tab 910, a test tab 912, and a maintenance tab 914. Remote HMI tab 908 may help emergency personnel 122 to remotely control safety system 100. Mobile dashboard tab 910 may help show a real-time graphical display of an entirety of safety system 100. Test tab 912 may help emergency personnel 122 to request analysis of breathable air 603 through remote certification laboratory 850 and generate custom reports. Maintenance tab 914 may help provide a proactive dimension to view upcoming and/or current maintenance requirements of safety system 100.
As shown in ‘(c)’, remote HMI tab 908 may display an emergency air fill station tab 916, an air monitoring system tab 918, an air storage system tab 920, an isolation tab 922, a bypass control system tab 924, and an EMAC panel tab 926. Remote HMI tab 908 may enable emergency personnel 122 to control components associated with the aforementioned tabs to effect an automatic bypass of air storage system 106/compressed air source 108/another compressed air source 109, as discussed above, and obtain air quality parameters 390. Based on zeroing in on specific tabs discussed herein, more detailed operations such as controlling relay devices, requesting certification through remote certification laboratory 850, purging breathable air 603 from safety system 100, isolating compressed air source 108/another compressed air source 109/air storage system 106 and so on are within the scope of the exemplary embodiments discussed herein.
Although the present embodiments have been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the various embodiments.
A number of embodiments have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the claimed invention. In addition, the logic flows depicted in the figures do not require the particular order shown, or sequential order, to achieve desirable results. In addition, other steps may be provided, or steps may be eliminated, from the described flows, and other components may be added to, or removed from, the described systems. Accordingly, other embodiments are within the scope of the following claims.
The structures and modules in the figures may be shown as distinct and communicating with only a few specific structures and not others. The structures may be merged with each other, may perform overlapping functions, and may communicate with other structures not shown to be connected in the figures. Accordingly, the specification and/or drawings may be regarded in an illustrative rather than a restrictive sense.
This application is a conversion application of, and claims priority to, U.S. Provisional Patent Application No. 63/356,996 titled CLOUD-BASED FIREFIGHTING AIR REPLENISHMENT MONITORING SYSTEM. SENSORS AND METHODS filed on Jun. 29, 2022, U.S. Provisional Patent Application No. 63/357,743 titled CONTINUAL AIR QUALITY MONITORING THROUGH LOCALIZED ANALYSIS OF BREATHABLE AIR THROUGH A SENSOR ARRAY filed on Jul. 1, 2022, and U.S. Provisional Patent Application No. 63/357,754 titled ON-DEMAND CERTIFICATION THROUGH COMMUNICATION OF ASSOCIATED AIR-QUALITY MARKER DATA TO A REMOTE CERTIFICATION LABORATORY filed on Jul. 1, 2022. The contents of each of the aforementioned applications are incorporated herein by reference in entirety thereof.
Number | Date | Country | |
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63356996 | Jun 2022 | US | |
63357743 | Jul 2022 | US | |
63357754 | Jul 2022 | US |