Method and systems of remote monitoring of operational status of one or more component(s) of a firefighter air replenishment system having access to breathable air

Abstract

Disclosed are a method and systems of remote monitoring of operational status of one or more component(s) of a safety system having access to breathable air. In accordance therewith, a computing platform executing on a data processing device is integrated with a set of operational status sensors associated with a number of components of the safety system. In accordance with the integration, the data processing device monitors an operational status of the one or more component(s) based on sensing, through one or more operational status sensor(s), one or more operational status parameter(s) of one or more sub-component(s) of the one or more component(s).

Description

Atty. Dkt. No. 118651-1814METHOD AND SYSTEMS OF REMOTE MONITORING OF OPERATIONAL STATUS OF ONE OR MORE COMPONENT(S) OF A FIREFIGHTER AIR REPLENISHMENT SYSTEM HAVING ACCESS TO BREATHABLE AIRCROSS REFERENCE TO RELATED APPLICATION

[0001] The present application claims the benefit of and priority to U.S. Provisional Patent Application No. 63 / 697,107 filed September 20, 2024, the disclosure of which is incorporated herein by reference in its entirety.FIELD OF TECHNOLOGY

[0002] This disclosure relates generally to emergency systems and, more particularly, to a method and / or systems of remote monitoring of operational status of one or more component(s) of a firefighter air replenishment system having access to breathable air.BACKGROUND

[0003] A structure (e.g., a vertical building, a horizontal building, a tunnel, marine craft) may have a Firefighter Air Replenishment System (FARS) implemented therein. The FARS may have an emergency air fill station therein to enable firefighters and / or emergency personnel access breathable air therethrough. The FARS may have other components relevant to critical functioning thereof. Each of the components of the FARs may further have sub-components requiring occasional, periodic or frequent monitoring and / or maintenance However, tracking operationality of the aforementioned components may prove to be tedious due to monolithic implementations thereof within the FARS.SUMMARY[0004[ Disclosed are a method and / or systems of remote monitoring of operational status of one or more component(s) of a firefighter air replenishment system having access to-1-4901-9199-7540.1Atty. Dkt. No. 118651-1814 breathable air.

[0005] In one aspect, a method of a safety system of a structure having a fixed piping system implemented therein to supply breathable air from a source to a number of components of the safety system is disclosed. The method includes integrating a computing platform executing on a data processing device with a set of operational status sensors associated with the number of components. The method also includes, in accordance with the integration of the computing platform with the set of operational status sensors, through the data processing device, monitoring an operational status of one or more component(s) of the number of components based on sensing, through one or more operational status sensor(s) of the set of operational status sensors, one or more operational status parameter(s) of one or more sub-component(s) of the one or more component(s) of the number of components.

[0006] In another aspect, a safety system of a structure having a fixed piping system implemented therein to supply breathable air from a source to a number of components of the safety system is disclosed. The safety system includes a set of operational status sensors associated with the number of components, and a data processing device executing instructions associated with a computing platform thereon to integrate the computing platform with the set of operational status sensors. In accordance with the integration of the computing platform with the set of operational status sensors, the data processing device monitors an operational status of one or more component(s) of the number of components based on sensing, through one or more operational status sensor(s) of the set of operational status sensors, one or more operational status parameter(s) of one or more sub- component(s) of the one or more component(s) of the number of components.

[0007] In yet another aspect, a safety system of a structure to supply breathable air from a source to a number of components of the safety system is disclosed. The safety system includes a fixed piping system implemented within the safety system to supply the breathable air to the number of components, and a data processing device executing instructions associated with a computing platform thereon to integrate the computing platform with a set of operational status-2-4901-9199-7540.1Atty. Dkt. No. 118651-1814 sensors associated with the number of components. In accordance with the integration of the computing platform with the set of operational status sensors, the data processing device monitors an operational status of one or more component(s) of the number of components based on sensing, through one or more operational status sensor(s) of the set of operational status sensors, one or more operational status parameter(s) of one or more sub-component(s) of the one or more component(s) of the number of components.10008] Other features will be apparent from the accompanying drawings and from the detailed description that follows.BRIEF DESCRIPTION OF THE DRAWINGS

[0009] 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:

[0010] Figure 1 is a schematic and an illustrative view of a safety system associated with a structure, according to one or more embodiments.10011 ] Figure 2 is a schematic view of the safety system of Figure 1 with elements thereof integrated therewithin in detail, according to one or more embodiments.

[0012] Figure 3 is a schematic view of the air monitoring system of the safety system of Figures 1-2, according to one or more embodiments.

[0013] Figure 4 is a schematic view of an emergency air fill station of the safety system of Figures 1-2, according to one or more embodiments.

[0014] Figure 5 is a schematic view of an air storage system of the safety system of Figures 1-2, according to one or more embodiments.

[0015] Figure 6 is a schematic view of a computing platform relevant to the safety system of Figures 1-2 implemented through a server, according to one or more embodiments.-3-4901-9199-7540.1Atty. Dkt. No. 118651-1814

[0016] Figure 7 is a schematic view of a data processing device of Figures 2-6, according to one or more embodiments.

[0017] Figure 8 is an example user interface view of a component of the computing platform of Figure 6 executing on the data processing device of Figures 2-7.

[0018] Figure 9 is another example user interface view of the component of the computing platform of Figure 6 executing on the data processing device of Figures 2-7.10019] Figure 10 is a dashboard view of the component of the computing platform of Figure 6 executing on the data processing device of Figures 2-7.

[0020] Figure 11 is a process flow diagram detailing the operations involved in mobile data processing device based remote monitoring of a safety system of a structure providing access to breathable air, according to one or more embodiments.

[0021] Figure 12 is a schematic view of the air monitoring system of the safety system of Figures 1- 3 with operational status sensors, according to one or more embodiments.

[0022] Figure 13 is a schematic view of the emergency air fill station of the safety system of Figures 1-2 and Figure 4 with operational status sensors, according to one or more embodiments.

[0023] Figure 14 is a schematic view of the air storage system of the safety system of Figures 1-2 and Figure 5 with operational status sensors, according to one or more embodiments.

[0024] Figure 15 is a schematic view of the computing platform of Figure 6 with operational status parameters from the air monitoring system, the emergency air fill station and the air storage system of Figures 12-14 leveraged through a safety engine thereof, according to one or more embodiments.

[0025] Figure 16 is a schematic view of the data processing device of Figure 7 with operational status parameters from the air monitoring system, the emergency air fill station and-4-4901-9199-7540.1Atty. Dkt. No. 118651-1814 the air storage system of Figures 12-14 received therein, according to one or more embodiments.

[0026] Figure 17 is another dashboard view of the component of the computing platform of Figure 6 and Figure 15 executing on the data processing device of Figures 2-7 and Figures 12- 16.

[0027] Figure 18 is a process flow diagram detailing the operations involved in remote monitoring of operational status of one or more component(s) of a safety system having access to breathable air, according to one or more embodiments.

[0028] Other features of the present embodiments will be apparent from the accompanying drawings and from the detailed description that follows.DETAILED DESCRIPTION10029] Example embodiments, as described below, may be used to provide a method and / or systems of remote monitoring of operational status of one or more component(s) of a firefighter air replenishment system having access to breathable air. 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.

[0030] Figure 1 shows a safety system 100 associated with a structure 102, according to one or more embodiments. In one or more embodiments, safety system 100 may be a Firefighter Air Replenishment System (FARS) to enable firefighters entering structure 102 in times of fire- related emergencies to gain access to breathable (e.g., human breathable) air (e.g., breathable air 103) in- house without the need of bringing in air bottles / cylinders to be transported up several flights of stairs of structure 102 or deep thereinto, or to refill depleted air bottles / cylinders that are brought into structure 102. In one or more embodiments, safety system 100 may supply breathable air provided from a supply of air tanks (to be discussed) stored in structure 102.When a fire department vehicle arrives at structure 102 during an emergency, breathable air supply typically may be provided through a source of air connected to said vehicle. In one or -5-4901-9199-7540.1Atty. Dkt. No. 118651-1814 more embodiments, safety system 100 may enable firefighters to refill air bottles / cylinders thereof at emergency air fill stations (to be discussed) located throughout structure 102. Specifically, in some embodiments, firefighters may be able to fill air bottles / cylinders thereof at emergency air fill stations within structure 102 under full respiration in less than one to two minutes.[00311 In one or more embodiments, structure 102 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 a fixed piping system 104 permanently installed within structure 102 serving as a constant source of replenishment of breathable air 103. Fixed piping system 104 may be regarded as being analogous to a water piping system within structure 102 or another structure analogous thereto for the sake of imaginative convenience.

[0032] As shown in Figure 1, fixed piping system 104 may distribute breathable air 103 across floors / levels of structure 102. For the aforementioned purpose, fixed piping system 104 may distribute breathable air 103 from an air storage system 106 (e.g., within structure 102) including a number of air storage tanks 1081-N that serve as sources of pressurized / compressed air (e.g., breathable air 103). Additionally, in one or more embodiments, fixed piping system 104 may interconnect with a mobile air unit 110 (e.g., a fire vehicle) through an External Mobile Air Connection (EMAC) panel 112.

[0033] In one or more embodiments, EMAC panel 112 may be a boxed structure (e.g., exterior to structure 102) to enable the interconnection between mobile air unit 110 and safety system 100. For example, mobile air unit 110 may include an on-board air compressor to store and replenish pressurized / compressed air (e.g., breathable air analogous to breathable air 103) in air bottles / cylinders (e.g., utilizable with Self-Contained Breathing Apparatuses (SCBAs) carried-6-4901-9199-7540.1Atty. Dkt. No. 118651-1814 by firefighters). Mobile air unit 110 may also include other pieces of air supply / distribution equipment (e.g., piping and / or air cylinders / bottles) that may be able to leverage the sources of breathable air 103 within safety system 100 through EMAC panel 112. Firefighters, for example, may be able to fill breathable air (e.g., breathable air 103, breathable air analogous to breathable air 103) into air bottles / cylinders (e.g., spare bottles, bottles requiring replenishment of breathable air) carried on mobile air unit 110 through safety system 100.10034] In Figure 1, EMAC panel 112 is shown at two locations merely for the sake of illustrative convenience. 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) of breathable air 103 within safety system 100. Figure 1 shows air monitoring system 150 as communicatively coupled to air storage system 106 and EMAC panel 112 merely for the sake of example. It should be noted that EMAC panel 112 may be at a remote location associated with (e.g., internal to, external to) structure 102. In one or more embodiments, for monitoring the parameters and / or the quality of breathable air within safety system 100, air monitoring system 150 include one or more sensors (e.g., electromechanical non-dispersive infrared), and circuitries. For example, a pressure sensor within air monitoring system 150 may automatically sense and record a pressure of breathable air 103 of safety system 100. The pressure sensor may communicate with an alarm system that is triggered when the sensed pressure is outside a safety range. Also, in one or more embodiments, air monitoring system 150 may automatically trigger a shutdown of breathable air distribution through safety system 100 in case of impurity / contaminant (e.g., carbon monoxide) detection yielding levels above a safety / predetermined threshold.

[0035] In one or more embodiments, fixed piping system 104 may include pipes (e.g., constituted out of stainless steel tubing) that distribute breathable air 103 to a number of emergency air fill stations 120i-p within structure 102. In one example implementation, each emergency air fill station 120i-p may be located at a specific level of structure 102. If structure 102 is regarded as a vertical building structure, an emergency air fill station 120i-p may be-7-4901-9199-7540.1Atty. Dkt. No. 118651-1814 located at each of a basement level, a first floor level, a second floor level and so on. For example, emergency air fill station 1201-P may be located at the end of the flight of stairs that emergency fighting personnel (e.g., firefighting personnel) need to climb to reach a specific floor level within the vertical building structure.

[0036] In one or more embodiments, an emergency air fill station 120i-p may be a static location within a level of structure 102 that provides emergency personnel 122 (e.g., firefighters, emergency responders) with the ability to rapidly fill air bottles / cylinders (e.g., SCBA cylinders) with breathable air 103. In one or more embodiments, emergency air fill station 120i-p may be an emergency air fill panel or a rupture containment air fill station. In one or more embodiments, proximate each emergency air fill station 120i-p, safety system 100 may include an isolation valve 160i-p to isolate a corresponding emergency air fill station 120i-p from a rest of safety system 100. For example, said isolation may be achieved through the manual turning of isolation valve 160 i-p proximate the corresponding emergency air fill station 120i-p or remotely (e.g., based on automatic turning) from air monitoring system 150. In one example implementation, air monitoring system 150 may maintain breathable air supply to a subset of emergency air fill stations 120i-p via fixed piping system 104 through control of a corresponding subset of isolation valves 160i-p and may isolate the other emergency air fill stations 120i-p from the breathable air supply. It should be noted that configurations and components of safety system 100 may vary from the example safety system 100 of Figure 1.

[0037] Figure 2 shows safety system 100 with elements thereof integrated therewithin in detail, according to one or more embodiments. In one or more embodiments, safety system 100 may include air monitoring system 150 discussed above communicatively coupled to fixed piping system 104, to which emergency air fill stations 120i-p are also coupled. In one or more embodiments, as seen above, the source of breathable air 103 may be air storage system 106. In one or more embodiments, safety system 100 may also include an isolation and bypass control system 202 that is constituted by a set of electrical, mechanical and / or electronic components working together to automatically include and / or bypass one or more emergency air fill station(s) 120i-p based on detection of anomalous air parameters, as will be discussed below. For the-8-4901-9199-7540.1Atty. Dkt. No. 118651-1814 aforementioned purpose, in one or more embodiments, isolation valve(s) 160i-p associated with the aforementioned emergency air fill stations 120i-p may be controlled (e.g., by opening or closing one or more of said isolation valves 160i-p) by isolation and bypass control system 202.

[0038] Further, in one or more embodiments, safety system 100 may include a backup power unit 204 (e.g., an electrical power system with electronic integration) to ensure uninterrupted power to components of safety system 100 during power related emergencies (e.g., a power cut, a mains power issue, a fire accident effected power issue). For the aforementioned purpose, in one or more embodiments, backup power unit 204 may be switched on in the case of a power related emergency with respect to a main power unit 206 (e.g., Alternating Current (AC) mains power, Direct Current (DC) power) associated with safety system 100.10039] In one or more embodiments, one or more or all of the abovementioned components of safety system 100 may be integrated with sensor(s) to detect parameters of use therewithin. In one or more embodiments, one or more of the aforementioned components may be communicatively coupled through a computer network 208 (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), the Internet, a cloud computing network, a short-range communication network based on Bluetooth®, WiFi® and the like) to a remote server 210 (e.g., a network of servers, a single server, a distributed network of servers, a command room server associated with safety system 100 and so on). As will be discussed below, in one or more embodiments, server 210 may obtain said parameters of use and other data from safety system 100 and perform analysis (e.g., predictive, non-predictive) thereof.

[0040] In addition, in one or more embodiments, safety system 100 may include a data processing device 212 (e.g., a mobile device such as a mobile phone, a tablet and an iPad®, a laptop, a desktop) also communicatively coupled to one or more components or each component of safety system 100 and server 210 through computer network 208. Thus, in one or more embodiments, one or more components or each component of safety system 100 may have interfaces for wireless communication through computer network 208. The interfaces can be configured to render an application in communication with at least one of the air storage system-9-4901-9199-7540.1Atty. Dkt. No. 118651-1814106, the fixed piping system 104, the air monitoring system 150, and the emergency air refill stations. Also, as will be discussed below, in one or more embodiments, wherever possible, elements (e.g., handheld Thermal Imaging Cameras (TICs), portable TICs, aerial TICs, video cameras, output audio devices, output light devices, one or more or all sensors discussed herein) may be Internet of Things (loT) devices capable of collecting and feeding data to server 210 through computer network 208. In one or more embodiments, loT devices (or loT enabled devices) may be devices and / or components with programmable hardware that can transmit data over computer networks (e.g., computer network 208 such as the Internet and / or other networks); said loT devices may include or be associated with edge devices (not shown) to control data flow at the boundaries to computer network 208.

[0041] It should be noted that both server 210 and data processing device 212 may both be remote from structure 102. In some embodiments, server 210 or data processing device 212 alone may be remote from structure 102. In some other embodiments, both server 210 and data processing device 212 may be within structure 102.

[0042] Figure 3 shows air monitoring system 150, according to one or more embodiments. In one or more embodiments, air monitoring system 150 may include one or more air parameter sensors 302I-R configured to sense parameters 304 associated with breathable air 103 such as pressure, temperature, oxygen content, carbon monoxide content, hydrocarbon content and moisture content; other parameters (e.g., air quality parameter(s), non-air quality parameter(s)) are within the scope of the exemplary embodiments discussed herein. In one or more embodiments, air monitoring system 150 may include a processor 306 (e.g., a microcontroller, a processor core, a single processor) communicatively coupled to a memory 308 (e.g., a volatile and / or a non-volatile memory); Figure 3 shows air parameter sensors 302I-R interfaced with processor 306. In one or more embodiments, data sensed by the aforementioned air parameter sensors 302I-R may be part of sensor data 310 stored in memory 308; parameters 304 sensed may be part of sensor data 310.

[0043] In one or more embodiments, threshold values / ranges (e.g., threshold parameters-10-4901-9199-7540.1Atty. Dkt. No. 118651-1814312) for parameters 304 sensed may also be stored in memory 308. In one or more embodiments, detecting through processor 306 in conjunction with one or more air parameter sensors 302I-R that one or more parameters 304 is outside (e.g., below, above, outside) threshold parameters 312 may cause communication of anomalies (e.g., detected anomaly data 314 stored in memory 308) to server 210 through computer network 208 in accordance with the loT capabilities discussed above. The anomalies can be, for example, low pressure, high pressure, elevated carbon monoxide levels, elevated carbon dioxide levels, elevated levels of contaminants, reduced flow rate, air leakage, communication loss, among other parameters 304. In response to the detection of the anomalies, the processor 306 can generate anomaly data 314 based on the air parameter sensor 302 and the detected anomaly. The anomaly data 314 can indicate or identify the anomaly and sensor readings (e.g., air parameter sensor 302). The processor 306 can store the anomaly data 314 in the memory 308. The processor 306 can store the anomaly data 314 in one or more data structures. The data structures can include an array, linked list, hash (e.g., HashMap, hash table, etc.), tree, and data table, among other data structures. The processor 306 can transmit or send the anomaly data 314 to the data processing device 212 for display on an application rendered by the interface. In one or more embodiments, threshold parameters 312 may be selected, controlled and / or set based on standards thereof such as National Fire Protection Association (NFPA) standards, Occupational Safety and Health Administration (OSHA) standards and / or Compressed Gas Association (CGA) standards.

[0044] Figure 4 shows an emergency air fill station 120i-p, according to one or more embodiments. Again, in one or more embodiments, emergency air fill station 120i-p may include one or more environment sensors 402I-B integrated therewith configured to sense parameters 404 (e.g., temperature, ambient light) of an environment (e.g., external environment 450) in an immediate vicinity of emergency air fill station 120i-p. In one or more embodiments, environment sensors 402I-B may also sense access (e.g., access parameters 406 that are part of parameters 404 in Figure 4) of emergency air fill station 120i-p by emergency personnel 122 (e.g., maintenance personnel, firefighters, emergency responders). Example access parameters 406 may include but are not limited to identifier 452 of emergency personnel 122, date of access-11-4901-9199-7540.1Atty. Dkt. No. 118651-1814454 mapped to identifier 452, time of access 456 mapped to identifier 452, a frequency of access 458 and fill pressures 460 (e.g., pressures to which breathable air 103 is filled in air bottles / cylinders discussed above) mapped to identifier 452, time of access 456 and / or date of access 454.

[0045] In one or more embodiments, again based on sensed parameters 404 being outside (e.g., more than, less than, outside a range) threshold values / ranges (e.g., threshold parameters 408) based on the loT capabilities discussed herein, the processor 472 can detect anomalies in parameters 404 at the emergency air fill station 120i-p and transmit the anomaly data 412 to server 210 through computer network 208. In one or more embodiments, as shown in Figure 4, emergency air fill station 120i-p may include a processor 472 (e.g., a microcontroller, a processor core, a single processor) communicatively coupled to a memory 474 (e.g., a volatile and / or a non-volatile memory). In one or more embodiments, environment sensors 402I-B may be interfaced with processor 472 and all of the abovementioned data / parameters may be stored in memory 474, as shown in Figure 4.

[0046] Figure 4 also shows TICs 410 as part of safety system 100 and in external environment 450 of emergency air fill station 120i-p, according to one or more embodiments. In one or more embodiments, TICs 410 may be infrared cameras that sense infrared energy of objects to render images / video frames, among others, corresponding to surface temperatures of said objects. In one or more embodiments, emergency personnel 122 may employ said TICs 410 to detect obstacles on the paths to / around emergency air fill stations 120i-p under low visibility; this may enable emergency personnel 122 perform rescue operations efficiently. As discussed, TICs 410 may be integrated with loT capabilities to transmit data to server 210 through computer network 208. Said data may be part of access parameters 406 or separate data (e.g., TIC use data 412) transmitted to server 210.

[0047] It should be noted that the sensing, detection and / or transmission of data to server 210 discussed above with regard to emergency air fill station 120i-p may also be performed at a device external to emergency air fill station 120i-p. In such implementations, the external device-12-4901-9199-7540.1Atty. Dkt. No. 118651-1814 itself may obviously be a component of safety system 100 with loT / wireless communication capabilities. All reasonable variations are within the scope of the exemplary embodiments discussed herein.

[0048] Figure 5 shows air storage system 106, according to one or more embodiments. Again, as discussed above, in one or more embodiments, air storage system 106 may have loT / wireless communication capabilities embedded therein or in a device external thereto that is communicatively coupled to air storage system 106. In one or more embodiments, air storage system 106 may include a processor 502 (e.g., a microcontroller, a processor core, a single processor) communicatively coupled to a memory 504 (e.g., a volatile and / or a non-volatile memory). Again, in one or more embodiments, air storage system 106 may include one or more sensors 506i-c configured to sense parameters (e.g., parameters 508 stored in memory 504) associated with air storage system 106; sensors 506i-c are shown interfaced with processor 502 Example parameters 508 sensed may include but are not limited to system pressure 552 (e.g., pressure at which breathable air 103 is output from air storage system 106), leakage 554 (e.g., leakage of breathable air 103 from air storage tanks 108I-N) and output flow rate 556 (e.g., rate of flow of breathable air 103 out of air storage system 106). In one or more embodiments, parameters 508 may be transmitted to server 210 through computer network 208 for processing and / or analysis thereat.

[0049] Again, in one or more embodiments, anomalies based on parameters 508 being outside thresholds / ranges (e.g., threshold parameters 510 stored in memory 504) may be detected through sensors 506nc (e.g., flow rate sensors, pressure sensors). The processor 502 can send the anomaly data 514 to the server 210 or the data processing device 212. Figure 5 shows anomaly data 512 relevant to the aforementioned detected anomalies also transmitted to server 210 through computer network 208, according to one or more embodiments.

[0050] It should be noted that Figures 3-5 merely relate to example components of safety system 100 with which sensors / IoT devices are integrated and that integration of sensors / IoT devices with any other component (e.g., backup power unit 204 to sense frequency and / or-13-4901-9199-7540.1Atty. Dkt. No. 118651-1814 duration of use thereof, isolation and bypass control system 202 to sense a frequency of bypass / isolation of emergency air fill stations 120i-p, turning on / off of isolation valves 160i-p and so on) thereof conceivable is within the scope of the exemplary embodiments discussed herein. Referring back to Figure 4, identifier 452 within access parameters 406 relevant to access of emergency air fill station 120i-p may also encompass a key fob based identification, a Radio Frequency Identification (RFID) based access, a Non-Fungible Token (NFT) based access, keys and / or access through an application component (e.g., component 706 to be discussed below) executing on data processing device 212. All reasonable variations are within the scope of the exemplary embodiments discussed herein.[00511 Figure 6 shows a computing platform 600 relevant to the FARS of safety system 100 implemented through server 210, according to one or more embodiments. In one or more embodiments, server 210 may be a distributed (e.g., across a cloud) network of servers, a cluster of servers or a standalone server. As shown in Figure 6, server 210 may include a processor 602 (e.g., a processor core, a network of processors, a single processor), communicatively coupled to a memory 604 (e.g., a volatile and / or a non-volatile memory). In one or more embodiments, memory 604 may include a safety engine 606 associated with the FARS stored therein and executable through processor 602. Figure 6 shows memory 604 as including data (e.g., detected, sensed, anomalies) from one or more components of safety system 100; the limited amount of data shown must not be considered as limiting the scope of the exemplary embodiments discussed herein. In one or more embodiments, safety engine 606 may have one or more predictive and / or non-predictive algorithms (e.g., predictive and / or non-predictive algorithms 608) including Artificial Intelligence (AI) / Machine Learning (ML) based algorithms stored therein.10052] In one or more embodiments, the safety engine 606 can execute the predictive and / or non-predictive algorithms 608 (sometimes referred to as algorithms 608 herein) through processor 602 may involve taking the abovementioned data and profiling the FARS implemented as safety system 100. The algorithms 608 can analyze data (e.g., parameters 304, parameters 404, access parameters 406, parameters 508, anomaly data 314, anomaly data 512, safety system data-14-4901-9199-7540.1Atty. Dkt. No. 118651-1814620, historical 618, etc.) to determine or identify anomalies (e.g., faults, maintenance, system risk, or failure) that can occur with the safety system 100, before said anomalies occur. The safety engine 606 can provide a notification that includes the prediction of the anomalies to the data processing device 212. In this manner, the systems and methods described herein can proactively prevent or minimize anomalies within the safety system 100. The sensor engine 606 can transmit a trigger signal to the data processing device 212 to schedule maintenance for one or more components ( e.g., tank replacement in 30 days), generate profiles for each of the components, provide data streams of the sensor data, and provide warning to the emergency personnel 122 based on the output of the algorithms 608. It should be noted that each of the aforementioned data (e.g., parameters 304, parameters 404, access parameters 406, parameters 508, anomaly data 314, anomaly data 512) may be real-time data from elements of safety system 100. In one or more embodiments, analysis of the data may result in beneficial decision making with regard to maintenance of safety system 100, safety of safety system 100 and / or efficiency thereof. For example, anomalies discussed above may be analyzed based on date, time and / or frequency thereof to predict that a specific duration of time in a winter season is associated with diminished characteristics of a component of safety system 100. All possible analyses are within the scope of the exemplary embodiments discussed herein.

[0053] In one or more embodiments, server 210 may also be utilized to remotely test and / or trigger operations of one or more components of safety system 100. Figure 6 shows a trigger signal 610 communicated to air monitoring system 150 to get data thereof discussed above from processor 306, according to one or more embodiments. In some implementations, the components of safety system 100 may automatically transmit data thereof to server 210 and in some others, server 210 may transmit trigger signals (e.g., trigger signal 610) therefor. Figure 6 also shows results of analysis / pr ediction through safety engine 606 as analysis results data 612, prediction results data 614 and plot data 616 (e.g., related to graphically plotting the results of analyses). Further, Figure 6 shows data processing device 212 communicatively coupled to server 210 through computer network 208 as part of computing platform 600, according to one or more embodiments.-15-4901-9199-7540.1Atty. Dkt. No. 118651-1814

[0054] Figure 7 shows data processing device 212 (e.g., a mobile phone, a tablet, a smart device, a laptop) in detail, according to one or more embodiments. In one or more embodiments, again, data processing device 212 may include a processor 702 (e.g., a single processor, a processor core) communicatively coupled to a memory 704 (e.g., a volatile and / or a non-volatile memory). In one or more embodiments, memory 704 may include a component 706 of safety engine 606 stored therein and enabled / provided through processor 602 of server 210. Figure 7 shows component 706 as a fire safety application 750 merely for example purposes. Again, in one or more embodiments, access to the data of one or more components of safety system 100 may be available to data processing device 212 via component 706 (e.g., through computer network 208 via safety engine 606 of server 210). Figure 7 also shows capabilities to control components of safety system 100 through data processing device 212 via trigger signals; Figure 7 specifically shows a trigger signal 708 to initiate collection of data from air monitoring system 150 merely for example purposes. Again, in some implementations, data may be automatically communicated to data processing device 212 and in some others, data processing device 212 may trigger (e.g., through trigger signal 708) collection thereof.

[0055] In one or more embodiments, access of emergency air fill station 1201-P through component 706 may cause collection of identifier 452 discussed above as part of access parameters 406. Figure 8 shows an example user interface 800 provided via component 706 (e.g., fire safety application 750) executing on data processing device 212. Here, user interface 800 shows plot data 616 discussed above that may be based on one or more examples of data discussed above and / or analysis results data 612; plot data 616 in Figure 8 is an evolution of system pressure 552 over a scale of time. Obviously, emergency personnel 122 and / or other users associated with data processing device 212 may access user interface 800 after authentication thereof via computing platform 600 and / or navigating to user interface 800. All reasonable variations are within the scope of the exemplary embodiments discussed herein.

[0056] Thus, exemplary embodiments discussed herein provide for an integrated FARS computing platform (e.g., computing platform 600) that enables collection and / or analysis of real-time data from one or more components of safety system 100 and / or control (e.g., remotely)-16-4901-9199-7540.1Atty. Dkt. No. 118651-1814 thereof. Further, the integrated FARS computing platform may provide for profiling of safety system 100 and / or emergency personnel 122 and / or remote management of requirements associated with safety system 100. For example, the profiling may involve utilizing (e.g., through safety engine 606) historical data (e.g., historical data 618 stored in memory 604 of server 210) from one or more components of safety system 100 and / or generic safety systems data (e.g., safety systems data 620 stored in memory 604 of server 210) from one or more safety systems other than safety system 100 to arrive at parts of analysis results data 612, prediction results data 614 and / or plot data 616. Again, as discussed above, in one or more embodiments, the integrated FARS computing platform may provide for quick decision making on the part of maintenance personnel, administrative personnel and / or emergency personnel (e.g., emergency personnel 122) associated with safety system 100; statistical analyses and / or data gathering and / or predictive and / or non-predictive analyses may also be enabled through the integrated FARS computing platform.

[0057] Also, in one or more embodiments, analogous analyses and / or prediction may also be performed at data processing device 212 based on enablement thereof through component 706. Further, it should be noted that detection of anomalies (e.g., anomaly data 314, anomaly data 512) may be performed through server 210 based on execution of safety engine 606 discussed above instead of or in addition to the detection thereof at the respective components. Last but not the least, as computing platform 600 may be enabled through the execution of safety engine 606, which, in turn, may enable component 706, both safety engine 606 and component 706 may be interpreted as computing platform 600 executing on server 210 and data processing device 212 respectively. In some scenarios, safety engine 606 and component 706 and server 210 and data processing device 212 corresponding thereto may be the same. All reasonable variations are within the scope of the exemplary embodiments discussed herein.

[0058] It should be noted that, in some embodiments, server 210 may be implemented in conjunction with a control room (not shown) within structure 102 or external thereto. In one or more embodiments, said control room may be associated with administrative personnel,-17-4901-9199-7540.1Atty. Dkt. No. 118651-1814 maintenance personnel, security personnel and / or emergency responders, all of which may be examples of emergency personnel 122. In some implementations, server 210 (or, the control room) may authenticate emergency personnel 122 to enable access thereof to various components of safety system 100. For example, emergency personnel 122 may obtain a temporary identification pass from the control room; in another example, server 210 may assign an access key to emergency personnel 122 implementable / enabled through component 706 / fire safety application 750. The loT integration discussed herein may enable emergency personnel 122 gain access to one or more components (e.g., air monitoring system 150, emergency air fill station 120i-p, air storage system 106) of safety system 100 through the assigned access key. Figures 6-7 show access keys 622 including the aforementioned generated access key stored in memory 604 and memory 704 of server 210 and data processing device 212 respectively.

[0059] In one example implementation, emergency personnel 122 may carry data processing device 212 thereof to a specific component (say, emergency air fill station 120i-p) of safety system 100. The loT capability discussed above with regard to emergency air fill station 120i-p may enable emergency air fill station 120i-p to authenticate emergency personnel 122 to provide access thereof based on reading access key 622 from fire safety application 750 executing on data processing device 212 wirelessly. Here, server 210 executing safety engine 606 may have configured emergency air fill station 120i-p (e.g., processor 472) with the capability to read access key 622 from data processing device 212. Alternatively or additionally, server 210 may dynamically authenticate emergency personnel 122 based on proximity of data processing device 212 thereof to emergency air fill station 120i-p automatically triggering transmission of a message to server 210 from component 706 / emergency air fill station 120i-p; server 210, in turn, may transmit a trigger signal (e.g., trigger signal 610) to emergency air fill station 120i-p to provide emergency personnel 122 access thereto. In yet another implementation, emergency personnel 122 may (remotely, non-remotely) self-authenticate based on entering access key 622 thereof via fire safety application 750.

[0060] Referring back to air storage system 106 and Figure 5, in addition to air storage tanks 108I-N, in some implementations, air storage system 106 may include one or more primary-18-4901-9199-7540.1Atty. Dkt. No. 118651-1814 source tanks 570I-K in which breathable air 103 is maintained at an appropriate pressure (e.g., 5500 Pounds per Square Inch (PSP), 4500 PSI). In one or more embodiments, these primary source tanks 570I-K may be coupled to air storage tanks 108I-N and may be utilized to provide breathable air 103 distributed via fixed piping system 104 and accessible via emergency air fill stations 120i-p. In one or more embodiments, breathable air 103 from air storage tanks 108I-N may flow to primary source tanks 570I-K in a regulated manner such that a pressure of breathable air 103 within primary source tanks 570I-K may be at an optimum level required to fill air bottles / cylinders of SCBAs. In one or more embodiments, a booster pump 580 may be coupled between air storage tanks 108I-N and primary source tanks 570I-K to enable transfer (e.g., enhanced / pressure-boosted transfer) of breathable air 103 from air storage tanks 108I-N to primary source tanks 570I-K as and when required (e.g., when breathable air 103 in primary source tanks 570I-K is depleted, when pressure of breathable air 103 in primary source tanks 570I-K drops below a threshold level thereof). In one or more embodiments, control of booster pump 580 and calibration thereof may be effected through sensors 506i-c (e.g., tracking depletion / pressure of breathable air 103 in air storage tanks 108I-N) and processor 502 and / or remotely through server 210 / data processing device 212.

[0061] Referring back to air monitoring system 150 and Figure 3, air parameter sensors 302I-R may also be configured to collect test data 316 (e.g., real-time) from breathable air 103 based on trigger signals (e.g., trigger signal 610, trigger signal 708) from server 210 / data processing device 212. In other words, emergency personnel 122 at server 210 / data processing device 212 may also trigger the automatic collection of test data 316 (e.g., stored in memory 308 and transmittable to memory 604 / 704 of server 210 / data processing device 212) from breathable air 103. For the aforementioned purpose, in one or more embodiments, breathable air 103 may pass through a specific collection chamber within air monitoring system 150 and parameters 304 thereof collected as part of test data 316. In some implementations, air monitoring system 150 may be automatically configured through server 210 / safety engine 606 to collect test data 316 as part of maintenance, analysis and / or regulatory requirements of safety system 100. The test data 316 can include current (e.g., real time or near real time) values of the parameters 304 such as-19-4901-9199-7540.1Atty. Dkt. No. 118651-1814 pressure, oxygen levels, carbon monoxide concentration, carbon dioxide concentration, moisture, temperature, among other air quality metrics.

[0062] Figure 9 shows another example user interface 900 provided via component 706 (e.g., fire safety application 750) executing on data processing device 212. Here, user interface 900 may, in conjunction with safety engine 606 / component 706, provide an emergency notification (e.g., emergency situations such as a fire, polluted breathable air 103 and so on) via an emergency notification tab 902 thereof. Emergency personnel 122 may be provided the opportunity to respond to said emergency notification through response tabs 904. The response tables 904 can be one or more user interface elements within the application. The response tabs 904 can cause the data processing device 212 to control at least one component within the safety system 100, responsive to an interaction at the user interface 900. For example, the data processing device 212 can receive a selection to isolate at least one air fill station 12,0 in response to the detection of an anomaly, thereby preventing the spread of contaminated air. The response tabs 904 can include an isolation and bypass control tab 906 to control isolation and bypass control system 202 to exclude one or more emergency air fill stations 120i-p, an automatic purging tab 908 to automatically purge breathable air 103 through safety system 100 and a lights tab 910 to automatically turn on lights in areas associated with emergency air fill station(s) 120i-p to aid emergency personnel 122 in rescue operations thereof. Other response tabs 904 are within the scope of the exemplary embodiments discussed herein. Other options such as a sensor recalibration tab 912 to recalibrate one or more sensor(s) within one or more components of safety system 100 are also shown as part of user interface 900.

[0063] Figure 10 shows an example dashboard 1000 (another user interface) shown via component 706 (e.g., fire safety application 750) of data processing device 212. Here, dashboard 1000 may show system pressure 552 of breathable air 103 at a current floor level (e.g., fifth floor) of structure 102, ambient temperature 1002 (e.g., sensed through environment sensors 402I-B), booster pump requirements 1004 (e.g., requirement(s) to activate booster pump 580 to supply enhanced breathable air 103 to primary source tanks 570I-K) and so on. Dashboard 1000 may also show maintenance status 1006 of safety system 100 and notifications 1008 relevant to-20-4901-9199-7540.1Atty. Dkt. No. 118651-1814 proper maintenance thereof. Dashboard 1000 may further show a test tab 1010 to trigger testing of breathable air 103 through safety system 100. Other example tabs and components of dashboard 1000 are within the scope of the exemplary embodiments discussed herein.

[0064] Figure 11 shows a process flow diagram detailing the operations involved in mobile data processing device based remote monitoring of a safety system (e.g., safety system 100) of a structure (e.g., structure 102) providing access to breathable air (e.g., breathable air 103) from a source (e.g., air storage system 106) via a fixed piping system (e.g., fixed piping system 104) implemented therein, according to one or more embodiments. In one or more embodiments, operation 1102 may involve integrating a computing platform (e.g., computing platform 600, safety engine 606) executing on a data processing device (e.g., server 210) with a set of sensors (e.g., air parameter sensors 302I-R, environment sensors 402I-B, sensors 506i-c) associated with a number of components (e.g., air monitoring system 150, emergency air fill station 120i-p, air storage system 106) of the safety system. In one or more embodiments, operation 1104 may involve executing a component (e.g., component 706) of the computing platform on a mobile data processing device (e.g., data processing device 212) communicatively coupled to the data processing device through a computer network (e.g., computer network 208). The data processing device 212 can execute the component 706 to transmit one or more signals or commands to the safety system 100. For example, the data processing device 212 can execute the component 706 causing the isolation bypass control system to isolate at least one air fill station. The data processing device 212 can execute the component in response to the detection of the anomaly or based on the anomaly data 314. The use of the data processing device 212 can allow for emergency personnel 122 to remotely monitor a structure that includes one or more anomalies.10065] In one or more embodiments, operation 1106 may then involve, in accordance with the execution of the component of the computing platform on the mobile data processing device and the integration of the computing platform with the set of sensors, monitoring, through the mobile data processing device, the safety system and / or one or more components of the number of components thereof remotely based on collecting a number of parameters (e.g.,-21-4901-9199-7540.1Atty. Dkt. No. 118651-1814 parameters 304, parameters 404, parameters 508) of the number of components of the safety system and / or of access (e.g., access parameters 406) thereof through detection of the number of parameters via the set of sensors. In one or more embodiments, the number of parameters may include one or more parameter(s) (e.g., system pressure 552, leakage 554, output flow rate 556, fill pressures 460) related to the breathable air and / or access of the breathable air.

[0066] Figure 12 shows air monitoring system 150 of Figure 3 with operational status sensors 1202I-D, according to one or more embodiments. In one or more embodiments, operational status sensors 1202I-D may be sensors configured to sense an operational status (e.g., as operational status parameters 1204) of components (or sub-components) of air monitoring system 150. For example, when processor 306 fails to receive data (e.g., parameters 304) from one or more air parameter sensor(s) 302I-R, it may be indicative of said one or more sensor(s) 302I-R malfunctioning and / or inoperability thereof. In one or more embodiments, the aforementioned failure to receive parameters 304 may cause processor 306 to trigger transmission of operational status parameters 1204 sensed by operational status sensors 1202I-D to server 210 / data processing device 212.

[0067] In another example, air monitoring system 150 may have a fault in circuitry 1206 (including, for example, a battery power source thereof) therewithin that prevents a specific current from being supplied to elements / components / sub-components thereof. The subcomponents can include the one or more modules, processors, or aspects (e.g., booster pump 580, processor 502, memory 504, source tanks, sensors, isolation valves, control circuitry) described herein that form or are included within the components (e.g., air monitoring system 150, air storage system 106, etc.). The aforementioned fault may be sensed through a current sensor implementation within operational status sensors 1202I-D and transmitted as part of operational status parameters 1204 to server 210 / data processing device 212 via computer network 208. In one or more embodiments, server 210 / data processing device 212 may analyze operational status parameters 1204 thereat to determine operational status of components (or subcomponents) of air monitoring system 150 and, based on the determination, service and / or maintenance requirements thereof.-22-4901-9199-7540.1Atty. Dkt. No. 118651-1814

[0068] In one or more other embodiments or in addition, operational status parameters 1204 may be collected locally through processor 306 and memory 308; for example, operational status parameters 1204 may be stored in memory 308. In one or more embodiments, the aforementioned operational status parameters 1204 may be part of sensor data 310; operational status parameters 1204 may be transmitted to server 210 / data processing device 212 via computer network 208. Additionally or alternatively, operational status parameters 1204 may be locally analyzed and remote server 210 / data processing device 212 alerted / notified (e.g., based on an alert signal 1208 transmitted via computer network 208). In some implementations, alert signal 1208 may merely alert server 210 / data processing device 212 of the transmission of operational status parameters 1304 thereto.

[0069] Figure 13 shows emergency air fill station 120i-p of Figure 4 with operational status sensors 1302I-E, according to one or more embodiments. Solely for the sake of clarity, TICs 410 and external environment 450 have not been shown; however, it should be noted that TICs 410 and external environment 450 may be part of emergency air fill station 120i-p. Once again, in one or more embodiments, operational status sensors 1302I-E may be sensors configured to sense an operational status (e.g., as operational status parameters 1304) of components (or sub-components) of emergency air fill station 120i-p. For example, when processor 472 fails to receive data (e.g., parameters 404) from one or more environment sensors 402I-B, it may be indicative of said one or more environment sensor(s) 402I-B malfunctioning and / or inoperability thereof. In one or more embodiments, the aforementioned failure to receive parameters 404 may cause processor 472 to trigger transmission of operational status parameters 1304 sensed by operational status sensors 1302I-E to server 210 / data processing device 212.

[0070] In another example, emergency air fill station 120i-p may have a fault in one or more mechanical components and / or circuitry thereof (e.g., mechanical components / circuitry 1306 including, for example, a battery power source thereof) that prevents a specific current from being supplied to elements / sub-components thereof, over-pressurization of breathable air 103 through one or more sub-components thereof and / or one or more blocked ports. The aforementioned operational faults may be sensed through current sensor, pressure sensor and / or-23-4901-9199-7540.1Atty. Dkt. No. 118651-1814 blockage sensor implementations within operational status sensors 1302I-E and transmitted as part of operational status parameters 1304 to server 210 / data processing device 212 via computer network 208. In one or more embodiments, server 210 / data processing device 212 may analyze operational status parameters 1304 to determine operational status of components (or subcomponents) of emergency air fill station 120i-p and, based on the determination, service and / or maintenance requirements thereof.

[0071] In one or more other embodiments or in addition, operational status parameters 1304 may be collected locally through processor 472 and memory 474; for example, operational status parameters 1304 may be stored in memory 474. In one or more embodiments, operational status parameters 1304 may be transmitted to server 210 / data processing device 212 via computer network 208. Additionally or alternatively, operational status parameters 1304 may be locally analyzed and remote server 210 / data processing device 212 alerted / notified (e.g., based on an alert signal 1308 transmitted via computer network 208). In some implementations, alert signal 1308 may merely alert server 210 / data processing device 212 of the transmission of operational status parameters 1304 thereto.

[0072] Figure 14 shows air storage system 106 of Figure 5 with operational status sensors 1402I-F, according to one or more embodiments. Once again, in one or more embodiments, operational status sensors 1402I-F may be sensors configured to sense an operational status (e.g., as operational status parameters 1404) of components (or subcomponents) of air storage system 106 including but not limited to sensors 506i-c, booster pump 580, air storage tanks 108I-N, primary source tanks 570I-K and control circuitry 1406 therein. For example, when processor 502 fails to receive data (e.g., parameters 508) from one or more sensors 506i-c, it may be indicative of said one or more sensor(s) 506i-c malfunctioning and / or inoperability thereof. In one or more embodiments, the aforementioned failure to receive parameters 508 may cause processor 502 to trigger transmission of operational status parameters 1404 sensed by operational status sensors 1402I-F to server 210 / data processing device 212.

[0073] In another example, air storage system 106 may have a fault in one or more-24-4901-9199-7540.1Atty. Dkt. No. 118651-1814 mechanical components (e.g., booster pump 580, air storage tanks 108I-N, primary source tanks 570I-K) and / or circuitry (e.g., control circuitry 1406) thereof that prevents a specific current from being supplied to elements / sub-components (e.g., of control circuitry 1406) thereof, breathable air 103 from primary source tanks 570I-K and / or air storage tanks 108I-N depleted, a failure of booster pump 580 to boost pressure of breathable air 103 and so on. The aforementioned operational faults may be sensed through current sensor and / or pressure sensor implementations within operational status sensors 1402I-F (in some implementations, one or more sensors 506i-c may even serve as operational status sensors 1402I-F) and transmitted as part of operational status parameters 1404 to server 210 / data processing device 212 via computer network 208. In one or more embodiments, server 210 / data processing device 212 may analyze operational status parameters 1404 thereat to determine operational status of components (or sub-components) of air storage system 106 and, based on the determination, service and / or maintenance requirements thereof.

[0074] In one or more other embodiments or in addition, operational status parameters 1404 may be collected locally through processor 502 and memory 504; for example, operational status parameters 1404 may be stored in memory 504. In one or more embodiments, operational status parameters 1404 may be transmitted to server 210 / data processing device 212 via computer network 208. Additionally or alternatively, operational status parameters 1404 may be locally analyzed and remote server 210 / data processing device 212 alerted / notified (e.g., based on an alert signal 1408 transmitted via computer network 208). In some implementations, alert signal 1408 may merely alert server 210 / data processing device 212 of the transmission of operational status parameters 1404 thereto.

[0075] Thus, operational status parameters 1204 / 1304 / 1404 may include but are not limited to sensor operational parameters, leakage levels, pressure levels, blockage levels based on the pressure levels, current levels and so on. Figure 15 shows computing platform 600 of Figure 6 with operational status parameters 1204 / 1304 / 1404 being leveraged through safety engine 606, according to one or more embodiments. Again, in one or more embodiments, execution of predictive and / or non- predictive algorithms 608 implemented in safety engine 606-25-4901-9199-7540.1Atty. Dkt. No. 118651-1814 through processor 602 may involve taking all of the abovementioned data including operational status parameters 1204 / 1304 / 1404 and profiling the FARS implemented as safety system 100. It should be noted that each of the aforementioned data (e.g., parameters 304, parameters 404, access parameters 406, parameters 508, anomaly data 314, anomaly data 512, operational status parameters 1204 / 1304 / 1404) may be real-time data from elements / components of safety system 100. In one or more embodiments, analyses of the data, especially operational status parameters 1204 / 1304 / 1404, may result in beneficial decision making with regard to maintenance and / or service scheduling pertaining to safety system 100, safety of safety system 100 and / or efficiency thereof. For example, anomalies discussed above may be analyzed based on date, time and / or frequency thereof to predict that a specific duration of time in a winter season is associated with diminished characteristics of a component (e.g., air storage system 106, air monitoring system 150, emergency air fill station 120i-p and / or sub-components thereof) of safety system 100. All possible analyses are within the scope of the exemplary embodiments discussed herein.

[0076] In one or more embodiments, server 210 may also be utilized to remotely test and / or trigger operations of one or more components of safety system 100. Figure 15 shows a trigger signal 1502 communicated to air monitoring system 150 to get data thereof discussed above from processor 306, according to one or more embodiments. In some implementations, the components of safety system 100 may automatically transmit data thereof to server 210 and in some others, server 210 may transmit trigger signals (e.g., trigger signal 1502) therefor. As discussed above with regard to Figure 6, analysis / prediction (e.g., including utilization of operational status parameters 1204 / 1304 / 1404) through safety engine 606 may result in analysis results data 612, prediction results data 614 and plot data 616 (e.g., related to graphically plotting the results of analyses).

[0077] Figure 16 shows data processing device 212 of Figure 7 with operational status parameters 1204 / 1304 / 1404 received therein, according to one or more embodiments. Again, in one or more embodiments, access to the data (including operational status parameters 1204 / 1304 / 1404) of one or more components of safety system 100 may be available to data processing device 212 via component 706 (e.g., through computer network 208 via safety engine-26-4901-9199-7540.1Atty. Dkt. No. 118651-1814606 of server 210). Specifically, Figure 16 shows a trigger signal 1602 to initiate collection of data from air monitoring system 150 merely for example purposes. Again, in some implementations, data may be automatically communicated to data processing device 212 and in some others, data processing device 212 may trigger (e.g., through trigger signal 1602) collection thereof.

[0078] Figure 17 shows an example dashboard 1700 (another example user interface provided via component 706. Here, dashboard 1700 may, in conjunction with safety engine 606 / component 706, provide an emergency notification (e.g., associated with a malfunctioning component of safety system 100 and / or failure thereof, predictive recommendation / message associated with a component of safety system 100) to emergency personnel 122. Figure 17 shows notifications associated with levels 18021-4 (e.g., floor levels of structure 102) with respect to components of safety system 100 therein. At level 1, there may be a notification that sensors 506i-c of air storage system 106 are not working and, at level 2, a notification that all components are in order At level 3, there may be a notification pertaining to primary source tanks 570I-K requiring replacement in 60 days. The aforementioned notification may be based on a prediction and / or analysis done through safety engine 606. At level 4, there may be a notification related to failure of circuitry 1206 within air monitoring system 150. Each notification may be based on operational status parameters 1204 / 1304 / 1404 discussed above.

[0079] It should be noted that the components of safety system 100 discussed above, especially, air monitoring system 150, emergency air fill station 120i-p and air storage system 106, may receive breathable air 103 thereto or thereacross. Also, it should be noted that the detection of operational status flaws / faults using operational status parameters 1204 / 1304 / 1404 discussed above may be based on comparison of operational status parameters 1204 / 1304 / 1404 with predetermined threshold parameters (e.g., operational status parameters 1204 / 1304 / 1404 exceeding, falling below or falling outside the predetermined threshold parameters). So, threshold parameters 312 / 408 / 508 may be regarded as encompassing the predetermined threshold parameters of comparison with regard to operational status parameters 1204 / 1304 / 1404, according to one or more embodiments. Also, operational status sensors 12021--27-4901-9199-7540.1Atty. Dkt. No. 118651-1814D / 1302I-E / 1402I-F may be integrated with the computing platform (e.g., computing platform 600, safety engine 606, component 706) discussed above and with the loT capabilities discussed above analogous to all other sensors discussed above. All computing platform and other related discussions relevant to the other sensors discussed above applied to operational status sensors 1202I-D / 1302I-E / 1402I-F and other reasonable variations are within the scope of the exemplary embodiments discussed herein.10080] Figure 18 shows a process flow diagram detailing the operations involved in remote monitoring of operational status of one or more component(s) (e.g., air monitoring system 150, emergency air fill station 120i-p, air storage system 106) of a safety system (e.g., safety system 100) having access to breathable air (e.g., breathable air 103), according to one or more embodiments. In one or more embodiments, the safety system may be implemented within a structure (e.g., structure 102) and may have a fixed piping system (e.g., fixed piping system 104) implemented therein to supply the breathable air from a source (e.g., part of air storage system 106) to a number of components of the safety system.]0081] In one or more embodiments, operation 1802 may involve integrating a computing platform (e.g., safety engine 606, component 706) executing on a data processing device (e.g., server 210, data processing device 212) with a set of operational status sensors (e.g., operational status sensors 1202I-D / 1302I-E / 1402I-F) associated with the number of components. In one or more embodiments, operation 1804 may then involve, in accordance with the integration of the computing platform with the set of operational status sensors, through the data processing device, monitoring an operational status of the one or more component(s) of the number of components based on sensing, through one or more operational status sensor(s) of the set of operational status sensors, one or more operational status parameter(s) (e.g., operational status parameters 1204 / 1304 / 1404) of one or more sub-component(s) (e.g., circuitry 1206, primary source tanks 570I-K) of the one or more component(s) of the number of components.

[0082] 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-28-4901-9199-7540.1Atty. Dkt. No. 118651-1814 these embodiments without departing from the broader spirit and scope of the various embodiments.

[0083] 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.

[0084] 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.-29-4901-9199-7540.1

Claims

Atty. Dkt. No. 118651-1814WHAT IS CLAIMED IS:

1. A method of a safety system of a structure having a fixed piping system to supply breathable air from a source to a plurality of components of the safety system, comprising: integrating a computing platform executing on a data processing device with a set of operational status sensors associated with the plurality of components; and monitoring, by the data processing device, an operational status of at least one component of the plurality of components based on sensing, through at least one operational status sensor of the set of operational status sensors, at least one operational status parameter of at least one sub-component of the at least one component of the plurality of components.

2. The method of claim 1, wherein the data processing device is a mobile data processing device executing a component of the computing platform thereon as the computing platform.

3. The method of claim 1, further comprising monitoring, by the data processing device, the operational status of the at least one component of the plurality of the components remotely based on at least one of: predictively analyzing the sensed at least one operational status parameter; or non-predictively analyzing the sensed at least one operational status parameter; and profiling the safety system in accordance with the at least one of: the predictive analysis of the sensed at least one operational status parameter and the non- predictive analysis of the sensed at least one operational status parameter.

4. The method of claim 2, wherein the component of the computing platform is an application executing on the mobile data processing device.-30-4901-9199-7540.1Atty. Dkt. No. 118651-18145. The method of claim 1, wherein the at least one component of the plurality of components of the safety system is Internet of Things (loT) enabled.

6. The method of claim 1, further comprising: alerting, by the at least one component of the plurality of components, the data processing device of the sensed at least one operational status parameter; and triggering, by the data processing device, collection of the at least one operational status parameter via an alert signal transmitted therefrom.

7. The method of claim 1, wherein the at least one component of the plurality of components of the safety system is at least one of: an air monitoring system configured to monitor the breathable air across the safety system, an emergency air fill station configured to provide access to the breathable air therethrough and an air storage system comprising the source of the breathable air.

8. A safety system of a structure having a fixed piping system to supply breathable air from a source to a plurality of components of the safety system, comprising: a set of operational status sensors associated with the plurality of components; and a data processing device executing instructions associated with a computing platform thereon to integrate the computing platform with the set of operational status sensors, wherein, in accordance with the integration of the computing platform with the set of operational status sensors, the data processing device: monitors an operational status of at least one component of the plurality of components based on sensing, through at least one operational status sensor of the set of operational status sensors, at least one operational status parameter of at least one sub-component of the at least one component of the plurality of components.-31-4901-9199-7540.1Atty. Dkt. No. 118651-18149. The safety system of claim 8, wherein the data processing device is a mobile data processing device executing a component of the computing platform.

10. The safety system of claim 8, wherein the data processing device monitors the operational status of the at least one component of the plurality of the components remotely based on at least one of: predictively analyzing the sensed at least one operational status parameter; or non-predictively analyzing the sensed at least one operational status parameter; and profiling the safety system in accordance with the at least one of: the predictive analysis of the sensed at least one operational status parameter and the non- predictive analysis of the sensed at least one operational status parameter.

11. The safety system of claim 9, wherein the component of the computing platform is an application executing on the mobile data processing device.

12. The safety system of claim 8, wherein the at least one component of the plurality of components of the safety system is loT enabled.

13. The safety system of claim 8, wherein at least one of: the at least one component of the plurality of components alerts the data processing device of the sensed at least one operational status parameter, and the data processing device triggers collection of the at least one operational status parameter via an alert signal transmitted therefrom.

14. The safety system of claim 8, wherein the at least one component of the plurality of components is at least one of: an air monitoring system configured to monitor the breathable air-32-4901-9199-7540.1Atty. Dkt. No. 118651-1814 across the safety system, an emergency air fill station configured to provide access to the breathable air therethrough and an air storage system comprising the source of the breathable air.

15. A safety system of a structure to supply breathable air from a source to a plurality of components of the safety system, comprising: a fixed piping system implemented within the safety system to supply the breathable air to the plurality of components; and a data processing device executing instructions associated with a computing platform thereon to integrate the computing platform with a set of operational status sensors associated with the plurality of components, wherein, in accordance with the integration of the computing platform with the set of operational status sensors, the data processing device: monitors an operational status of at least one component of the plurality of components based on sensing, through at least one operational status sensor of the set of operational status sensors, at least one operational status parameter of at least one sub-component of the at least one component of the plurality of components.

16. The safety system of claim 15, wherein the data processing device is a mobile data processing device executing a component of the computing platform.

17. The safety system of claim 15, wherein the data processing device monitors the operational status of the at least one component of the plurality of the components remotely based on at least one of: predictively analyzing the sensed at least one operational status parameter; or non-predictively analyzing the sensed at least one operational status parameter; and-33-4901-9199-7540.1Atty. Dkt. No. 118651-1814 profiling the safety system in accordance with the at least one of: the predictive analysis of the sensed at least one operational status parameter and the non-predictive analysis of the sensed at least one operational status parameter.

18. The safety system of claim 16, wherein the component of the computing platform is an application executing on the mobile data processing device.

19. The safety system of claim 15, wherein at least one of: the at least one component of the plurality of components alerts the data processing device of the sensed at least one operational status parameter, and the data processing device triggers collection of the at least one operational status parameter via an alert signal transmitted therefrom.

20. The safety system of claim 15, wherein the at least one component of the plurality of components is at least one of: an air monitoring system configured to monitor the breathable air across the safety system, an emergency air fill station configured to provide access to the breathable air therethrough and an air storage system comprising the source of the breathable air.-34-4901-9199-7540.1

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