WO2019055708A1 - Système et procédé pour effectuer une transmission de données de détecteur de fumée à partir d'un détecteur de fumée - Google Patents

Système et procédé pour effectuer une transmission de données de détecteur de fumée à partir d'un détecteur de fumée Download PDF

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Publication number
WO2019055708A1
WO2019055708A1 PCT/US2018/050959 US2018050959W WO2019055708A1 WO 2019055708 A1 WO2019055708 A1 WO 2019055708A1 US 2018050959 W US2018050959 W US 2018050959W WO 2019055708 A1 WO2019055708 A1 WO 2019055708A1
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WO
WIPO (PCT)
Prior art keywords
smoke
data
light
smoke detector
frequency
Prior art date
Application number
PCT/US2018/050959
Other languages
English (en)
Inventor
Michael Dean ORR
Eric OVERTON
Original Assignee
4Morr Enterprises IP, LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 4Morr Enterprises IP, LLC filed Critical 4Morr Enterprises IP, LLC
Priority to EA202090711A priority Critical patent/EA202090711A1/ru
Priority to CA3075858A priority patent/CA3075858A1/fr
Priority to EP18857071.7A priority patent/EP3682430A4/fr
Priority to JP2020536918A priority patent/JP7252237B2/ja
Priority to AU2018332987A priority patent/AU2018332987A1/en
Priority to CN201880073638.4A priority patent/CN111344756A/zh
Priority to MX2020002868A priority patent/MX2020002868A/es
Priority to KR1020207009833A priority patent/KR20200069298A/ko
Priority claimed from US16/130,950 external-priority patent/US10957175B2/en
Publication of WO2019055708A1 publication Critical patent/WO2019055708A1/fr
Priority to ZA2020/02386A priority patent/ZA202002386B/en

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00—Fire alarms; Alarms responsive to explosion
    • G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means

Definitions

  • TITLE A SYSTEM AND METHOD FOR EFFECTING SMOKE DETECTOR DATA TRANSMISSION FROM A SMOKE DETECTOR
  • This disclosure relates to a system and method for effecting smoke detector data transmission from a smoke detector.
  • This disclosure further relates to an improved system for effecting smoke detector data using an emergency personnel router.
  • This disclosure further relates to a system and method for detecting smoke using a photoelectric sensor.
  • This disclosure further relates to an improved system and method for reducing false-positives by a smoke detector, using a photoelectric sensor and an ionization sensor.
  • This disclosure further relates to an improved smoke detection enclosure for recessed installment.
  • many embodiments are discussed, and are an example of the above-mentioned systems and methods. However, such discussions are solely exemplary and not limiting.
  • a smart detector For a smart detector to send warning of a fire beyond its audible range, it requires a network connection, typically through a wireless router. However, if the smoke detector is far from the router, it may not be able to connect. Some smart devices have a wired connection. However, wired connections often times can be destroyed before the smoke detector detects the fire if the fire begins in the walls or a room away from the smoke detector. Second, information in a network passes through the router (and modem) to the Internet. If a fire destroys the router and/or modem if separate, a smart smoke alarm will be orphaned with no way to get potentially vital information out.
  • smoke detectors using ionization technology have unique problems. They are poor at determining innocuous smoke such as smoke cooking a hamburger on the stove, from a sofa cushion on fire. Also, they are not particularly sensitive, needing a lot of smoke to break the ionization path.
  • each has low level radioactive waste with a four-hundred-year half-life, causing disposal problem. Further, it can't be made in the United States.
  • most or all ionization sensors for smoke detectors come from China. Further, smoke detectors making use of ionization sensors only use a threshold in determining whether an alarm should sound, not making user of other important temporal information.
  • the smoke detector can comprise a smoke detection system, a smoke detector memory, and a microprocessor.
  • the smoke detector memory can comprise a smoke detector application.
  • the microprocessor can, according to instructions from the smoke detector application operate as a node in a mesh network of a local area network by receiving network data and sending the network data across the local area network.
  • the microprocessor can receive smoke alarm data from the smoke detection system, and interrupt sending the network data across the local area network.
  • the microprocessor can send the smoke alarm data and resume sending the network data to the other nodes in the mesh network only after the smoke alarm data is completely sent.
  • the smoke detector can comprise a smoke detection system, a smoke detector memory, and a microprocessor.
  • the smoke detector memory can comprise a smoke detector application.
  • the microprocessor can, according to instructions from the smoke detector application operate as a node in a mesh network of a local area network by receiving network data and sending the network data across the local area network.
  • the microprocessor can receive, while operating as the node, smoke alarm data from a second smoke detector, and other data within the network data. The second smoke detector having transmitted the smoke alarm data over the mesh network.
  • the microprocessor can halt sending other data upon receiving the smoke alarm data, can send the smoke alarm data, and can resume sending the other network data only after the smoke alarm data is completely sent.
  • a method for effecting smoke detector data transmission from a smoke detector is described herein.
  • the method of transmitting smoke detector data can comprise the steps of operating the smoke detector as a node in a mesh network of a local area network.
  • the smoke detector can receive network data and send the network data across the local area network.
  • the method can also comprise the steps of receiving the smoke alarm data from a smoke detection system within the smoke detector, interrupting sending the network data across the local area network, sending the smoke alarm data, and resuming sending the network data to the other nodes in the mesh network only after the smoke alarm data is completely sent.
  • a method for effecting smoke detector data transmission from a smoke detector is described herein.
  • the method of transmitting smoke detector data can comprise the steps of operating the smoke detector as a node in a mesh network of a local area network.
  • the smoke detector can receive network data and send the network data across the local area network.
  • the method can also comprise the steps of receiving, while operating as the node, smoke alarm data from a second smoke detector, and other data within the network data.
  • the second smoke detector having transmitted the smoke alarm data over the mesh network.
  • the method can also comprise the steps of halting sending other data upon receiving the smoke alarm data, sending the smoke alarm data, and resuming sending the other network data only after the smoke alarm data is completely sent.
  • a smoke detector can comprise a smoke detection system, a smoke detection memory, and a microprocessor.
  • the smoke detector memory can comprise a smoke detector application, and a connection protocol for an emergency- personnel router.
  • the microprocessor can, according to instructions from the smoke detector application receive smoke alarm data, and detect a wireless emergency personnel router.
  • the microprocessor can, according to instructions from the smoke detector application connect to the wireless emergency personnel router using the connection protocol, and send the smoke alarm data via the emergency personnel router.
  • a method for effecting smoke detector data using an emergency personnel router is disclosed herein.
  • the method of transmitting a smoke detector can comprise the steps of receiving smoke alarm data by the smoke detector, detecting a wireless emergency personnel router, and connecting the smoke detector to the wireless emergency personnel router using a connection protocol stored in a memory of the smoke detector.
  • the method can comprise the step of sending the smoke alarm data from the smoked detector to the emergency personnel router.
  • the smoke detector can comprise a photoelectric smoke detection system, a smoke detector memory, and a microprocessor.
  • the photoelectric smoke detection system can comprise a low-frequency light source, a high-frequency light source, and a light sensor.
  • the smoke detector memory can comprise a smoke detector application, a plurality of low-frequency smoke signatures, and a plurality of high-frequency smoke signatures.
  • Each of the low-frequency smoke signatures can relate to how a low-frequency light interacts with one of a plurality of particulates.
  • Each of the high-frequency smoke signatures can relate to how a high-frequency light interacts with one of the plurality of particulates.
  • the microprocessor can, according to instructions from the smoke detector application receive light data from the light sensor, and extract low- frequency light data and high-frequency light data from the light data. Moreover the microprocessor can according to instructions from the smoke detector application compare the low-frequency light data the plurality of low-frequency smoke signatures to determine if the low- frequency light data matches any of the plurality of low-frequency smoke signatures, and comparing the high-frequency light data the plurality of high-frequency smoke signatures to determine if the high-frequency light data matches any of the plurality of high-frequency smoke signatures.
  • the microprocessor can, according to instructions from the smoke detector application initiate an alarm sequence if the low-frequency light data matches a low- frequency smoke signature related to a fire-indicative particulate of the plurality of particulates. Additionally, the microprocessor can, according to instructions from the smoke detector application initiate an alarm sequence if the high-frequency light data matches a high-frequency smoke signature related to the fire-indicative particulate.
  • a method for detecting smoke using a photoelectric sensor is disclosed herein. The method can comprise the step of storing in memory a plurality of low- frequency smoke signatures, and a plurality of high-frequency smoke signatures.
  • Each of the low-frequency smoke signatures can relate to how a low-frequency light interacts with one of a plurality of particulates.
  • Each of the high-frequency smoke signatures can relate to how a high- frequency light interacts with one of the plurality of particulates.
  • Each of the particulates can be indicative or non-indicative of a fire.
  • the method can also comprise the steps of receiving light data from a light sensor, extracting low-frequency light data and high-frequency light data from the light data, and comparing the low-frequency light data the plurality of low-frequency smoke signatures to determine if the low-frequency light data matches any of the plurality of low- frequency smoke signatures.
  • the method can comprise the step of comparing the high-frequency light data the plurality of high-frequency smoke signatures to determine if the high-frequency light data matches any of the plurality of high-frequency smoke signatures. Additionally, the method can comprise the step of initiating an alarm sequence if the low- frequency light data matches a low-frequency smoke signature related to a fire-indicative particulate of the plurality of particulates, and initiating an alarm sequence if the high-frequency light data matches a high-frequency smoke signature related to the fire-indicative particulate.
  • a smoke detector can comprise the ionization sensor, a smoke detector memory, and a microprocessor.
  • the ionization sensor can comprise an ionization chamber.
  • the smoke detector memory can comprise a smoke detector application, and a plurality of ionization smoke signatures.
  • the plurality of ionization smoke signatures wherein each of the ionization smoke signatures relates to how the ionization chamber interacts with one of a plurality of particulates.
  • Each of the plurality of particulates can be indicative or non-indicative of a fire.
  • the microprocessor can, according to instructions from the smoke detector appl cat on receive current data from the ionization sensor, and compare the current data with the plurality of ionization smoke signatures to determine if the current data matches any of the plurality of ionization smoke signatures. Moreover the microprocessor can, according to instructions from the smoke detector application initiate an alarm sequence based at least in part on a determination as to whether the current data matches an ionization smoke signature related to a fire-indicative particulate of the plurality of particulates.
  • an improved method for detecting smoke using an ionization sensor is disclosed herein.
  • the method can comprise the steps of storing in memory a plurality of ionization smoke signatures, wherein each of the ionization smoke signatures relates to how an ionization chamber interacts with one of a plurality of particulates, each of the plurality of particulates indicative or non-indicative of a fire, and receiving current data from the ionization sensor.
  • a smoke detector for recessed installment can comprise a housing, a printed circuit board (PCB), a bottom cover, and a plurality of clips.
  • the housing can be capable of being installed within a surface.
  • the printed circuit board (PCB) can comprise one or more smoke detection systems.
  • the PCB can be mounted within the housing such that upon installation into a surface, the PCB is approximately at the surface.
  • the bottom cover can extend beyond edges of the housing to form a surface lip.
  • the surface lip can be capable of interacting with a first side of the surface.
  • the bottom cover can comprise one or more air vents, each of the one or more air vents can be placed directly underneath of each of the one or more smoke detection systems.
  • the plurality of clips each of the pair of clips at the opposite side of the housing. The clips capable of interacting with a second side of the surface such that together with the surface lip, the plurality of clips can mount the housing within the surface.
  • Figure 1 illustrates a wide-area network (WAN) comprising a server, a mobile device, and a local area network, the local area network comprising smart devices connected by WIFI.
  • WAN wide-area network
  • FIG. 2 illustrates a local-area network (LAN) comprising smart devices connected to the LAN via WIFI using a meshed network connection method.
  • LAN local-area network
  • Figure 3 illustrates a schematic diagram of an emergency response server.
  • Figure 4 illustrates a hardware configuration of a smoke detector with a photoelectric sensor for detecting smoke.
  • Figure 5 illustrates a hardware configuration of a smoke detector with a photoelectric sensor and an ionization sensor for detecting smoke.
  • Figure 6 illustrates a smoke detector memory
  • Figure 7 A illustrates an exemplary method of transmitting a smoke alarm data detected by a smoke detector.
  • Figure 7B illustrates another exemplary method of transmitting smoke alarm data received from a second smoke detector.
  • Figure 7C illustrates another exemplary method of transmitting smoke alarm data by a smoke detector and sending smoke alarm data to an emergency personnel router.
  • Figure 8A illustrates photoelectric sensor comprising a single light source.
  • Figure 8B illustrates photoelectric sensor comprising two light sources.
  • Figure 9A illustrates high frequency light data and low-frequency light data being compared with a high-frequency light smoke signature and a low-frequency light smoke signature, in a scenario in which polyester is burning.
  • Figure 9B illustrates high frequency light data and low-frequency light data being compared with a high-frequency light smoke signature and a low-frequency light smoke signature, in a scenario in which a hamburger is burning on the stove.
  • Figure 10 illustrates an exemplary method for detecting smoke using a photoelectric sensor.
  • Figure 11 A illustrates an ionization sensor with no particulates in an ionization chamber.
  • Figure 1 IB illustrates an ionization sensor with particulates enter ionization chamber.
  • Figure 11C illustrates current data being compared with ionization smoke signature, in a scenario in which a sofa cushion is burning.
  • Figure 1 ID illustrates current data being compared with ionization smoke signature, in a scenario in which a hamburger is burning.
  • Figure 12 illustrates an exemplary method for detecting smoke using an ionization sensor.
  • Figure 13 illustrates a housing for a smoke detector, the housing capable of recessed installation.
  • Figure 14 illustrates a mobile device operable to interact with a smart device over a network.
  • FIG. 1 illustrates a home monitoring server 101, one or more emergency response servers 102, one or more mobile devices 103, and a local area network (LAN) 104 in communication over network 105.
  • Home monitoring server 101 and emergency response servers 102 can each represent at least one, but can be many servers, each connected to network 105 capable of performing computational task, and storing data information.
  • Home monitoring server 101 can be connected to one or more home monitoring databases 106.
  • Emergency response servers 102 can be connected to one or more emergency response databases 107. Emergency response databases can store files, and record information from different authoritative databases that can include but is not limited to fire department, police department, 9-1-1, emergency dispatch department, etc.
  • Mobile devices 103 can be desktop computers, laptops, tablets, or smartphones capable of receiving, storing and sending out data information through WAN 105.
  • LAN 104 can be a computer network that links electronic devices such as computers, mobile devices 103, or other smart devices within a small defined area such as a building or set of buildings.
  • Network 105 can be a local area network (LAN), a wide area network (WAN), a piconet, or a combination of LANs, WANs, or piconets.
  • LAN local area network
  • WAN wide area network
  • piconet a combination of LANs, WANs, or piconets.
  • network 105 can comprise the Internet.
  • WAN 105 can be WIFI.
  • FIG. 2 illustrates a local-area network (LAN) 104 comprising a plurality of smoke detectors 200 connected to LAN 104 via WIFI connection 201 using a meshed network connection method.
  • smoke detectors 200 can be smart devices and are capable of communicating with each other through LAN 104.
  • smoke detectors 200 can do edge computing through software defined local area network (SD-LAN).
  • meshed network connection method is a local network topology that can allow a plurality of wireless mesh nodes to communicate to each other to share the network connection across a particular area.
  • each smoke detector 200 can function as wireless mesh nodes.
  • each smoke detector 200 can comprise radio transmitters capable of communicating with other smoke detectors 200 through WIFI connection 201.
  • smoke detectors 200 can provide mesh network in an entire house or vicinity.
  • smoke detectors 200 can provide WIFI connection 201 to mobile devices 103 to the entire vicinity.
  • LAN 104 can connect directly to network 105.
  • LAN 104 typically comprises a router 202.
  • Router 202 can comprise a modem, and can link network 105 with LAN 104.
  • at least one of smoke detectors 200 near the router can connect to LAN 104, while other smoke detectors 200 can be connected wirelessly to the nearest smoke detector 200.
  • each smoke detector 200 can be a part of single wireless network and can share the same SSID and password.
  • range extenders which communicate with the router via the 2.4GHz or 5GHz radio bands, most Wi-Fi system satellites use mesh technology to talk to the router and to each other.
  • Each smoke detector 200 can serve as a hop point for other nodes, such as other smoke detectors 200, in the system. This can help smoke detectors 200 farthest from router 202 maintain communication, not relying on one-on-one communication with router 202, while also extending WIFI connection 201 coverage. As such, the more nodes, the further the connection can be provided. This creates a wireless "cloud of connectivity" which can serve large vicinities.
  • smoke detectors 200 can connect with a wireless emergency personnel router 203, as discussed further below.
  • wireless emergency personnel router can be mounted to a vehicle such as a fire truck, police car, or ambulance.
  • Figure 3 illustrates a schematic diagram of emergency response server 102 according to an embodiment of the present disclosure.
  • Emergency response server 102 can comprise a server processor 301, and a server memory 302 and a first local interface 303.
  • Local interface 303 can be a program that controls a display for the user, which can allow user to view and/or interact with server 102.
  • Server processor 301 can be a processing unit that performs a set of instructions stored within server memory 302.
  • Server memory 302 can comprise a smoke detector application 304, and a data store 305.
  • smoke detector application 304 can be a home monitoring service that can provide protection to the homeowners and their home.
  • Smoke detector application 304 can comprise business logic for server 102.
  • smoke detector application 304 can contain HTML (Hyper Text Markup Language), PHP, scripts, and/or applications.
  • Data store 305 can be collections of data accessible through smoke detector application 304. Further, smoke detector application 304 can perform functions such as adding, transferring and retrieving information on data store 305 using local interface 303.
  • Emergency response server 102 includes at least one processor circuit, for example, having server processor 301 and server memory 302, both of which are coupled to local interface 303.
  • emergency response server 102 can comprise, for example, at least one server, computer or like device.
  • Local interface 303 can comprise, for example, a data bus with an accompanying address/control bus or other bus structure as can be appreciated.
  • server memory 302 and executable by server processor 301 are smoke detector application 304, and potentially other applications. Also stored in server memory 302 can be server data store 305 and other data.
  • an operating system can be stored in server memory 302 and executable by server processor 301.
  • server memory 302 there can be other applications that are stored in server memory 302 and are executable by server processor 301 as can be appreciated.
  • any component discussed herein is implemented in the form of software, any one of a number of programming languages can be employed such as, for example, C, C++, C#, Objective C, Java, Java Script, Perl, PHP, Visual Basic, Python, Ruby, Delphi, Flash, or other programming languages.
  • a number of software components can be stored in server memory 302 and can be executable by server processor 301.
  • the term "executable” means a program file that is in a form that can ultimately be run by server processor 301.
  • Examples of executable programs can be, for example, a compiled program that can be translated into machine code in a format that can be loaded into a random access portion of server memory 302 and run by server processor 301, source code that can be expressed in proper format such as object code that is capable of being loaded into a random access portion of server memory 302 and executed by server processor 301, or source code that can be interpreted by another executable program to generate instructions in a random access portion of server memory 302 to be executed by server processor 301, etc.
  • An executable program can be stored in any portion or component of server memory 302 including, for example, random access memory (RAM), read-only memory (ROM), hard drive, solid-state drive, USB flash drive, memory card, optical disc such as compact disc (CD) or digital versatile disc (DVD), magnetic tape, network attached/addressable storage or other memory components.
  • RAM random access memory
  • ROM read-only memory
  • hard drive solid-state drive
  • USB flash drive solid-state drive
  • memory card such as compact disc (CD) or digital versatile disc (DVD), magnetic tape, network attached/addressable storage or other memory components.
  • FIG. 4 illustrates a hardware configuration of smoke detector 200 with a photoelectric sensor 400 for detecting smoke.
  • smoke detector 200 can use a smoke detection system such as a photoelectric smoke detector to detect smoke.
  • smoke detector 200 can comprise a casing that houses photoelectric sensor 400.
  • casing can be hermetically sealed.
  • smoke detector 200 can comprise a light source 401, a light receiver 402, a first analog front-end amplifier 403, an analog to digital converter (ADC) 404, and a digital communications block 405.
  • ADC analog to digital converter
  • smoke detector 200 with photoelectric sensor 400 can use a beam of light to detect presence of smoke within a vicinity.
  • a T-shaped chamber with a light-emitting diode can produce a light beam that can travel unblocked from one end to the other end of a chamber.
  • Photodiode 401 can be mounted within the chamber in such a way that the light beam does not hit photodiode 401.
  • photodiode 401 can be placed slightly away from the light beam.
  • Photodiode 401 can convert the light that hit the photodiode into an electrical signal and send it to first analog front end amplifier 403.
  • First analog front-end amplifier 403 can be a set of analog signal conditioning circuitry that uses sensitive analog amplifiers for sensors to provide the best signal to ADC 404, or to a microcontroller.
  • the electrical signal from photodiode 401 can then be amplified and/or conditioned by first analog front-end amplifier 403 and then be sent to ADC 404.
  • ADC 404 can then take the analog signal from first analog front-end amplifier 403 and digitize the signal into a binary format readable by digital communications block 405.
  • photoelectric sensor 401 can be capable of performing digitization internally.
  • smoke detector 200 can further comprise a microprocessor 406, a smoke detector memory 407, an audio speaker 408, and a camera 409.
  • digital communications block 405 can then allow the digital transmission of digital signal from ADC 404 to microprocessor 406.
  • microprocessor 405 can be two processors.
  • microprocessor 406 can comprise a network transport processor 411 and a smoke alarm processor 412.
  • Network transport processor 411 can handle network processes while smoke alarm processor 412 can handle on-board processes.
  • microprocessor 406 can receive the signal and can perform set of instructions according to the algorithms, and parameters within smoke detector memory 407.
  • microprocessor 406 can send a signal to audio speaker 408 to initiate a smoke alarm sequence.
  • microprocessor 406 can send a signal to trigger audio speaker 408 or other noise device sound the alarm.
  • microprocessor 406 can send signal to camera 408.
  • camera 408 can start gathering data images of the area and sends the data image to microprocessor 406. Then data images can be stored in smoke detector memory 407.
  • mobile devices 103 can be notified.
  • microprocessor 406 can send instructions to other smoke detectors 200 through network transport processor 411.
  • initiating an alarm sequence can comprise of sounding an audible alarm through audio speaker 408, in one embodiment.
  • alarm sequence can comprise turning camera 409 on.
  • camera 409 can begin capturing images and/or videos.
  • alarm sequence can comprise of sending data over network 105 to a server.
  • FIG. 5 illustrates a hardware configuration of smoke detector 200 with photoelectric sensor 400 and an ionization sensor 500 for detecting smoke.
  • smoke detector 200 can use one or more smoke detection system such as a photoelectric smoke detector and ionization smoke detector to detect smoke.
  • smoke detector 200 can comprise photoelectric sensor 400, microprocessor 406, smoke detector memory 407, audio speaker 408, a camera 409, and ionization sensor 500.
  • Ionization sensor 500 can comprise an ionization chamber 501, and a second analog frontend amplifier 502.
  • ionization chamber 501 can comprise a radioactive material such as americium-241.
  • a small amount of americium-241 can be placed within ionization chamber 501 and can be used to detect smoke.
  • Ionization chamber 501 can house radioactive material between two electrically charge plates. The radioactive material can ionize the air within ionization chamber 501 and can cause the current to flow between the plates. In the absence of smoke, a constant electric current can pass in between the plates and the amount of ions within the ionization chamber 501 can be steady. When smoke enters ionization chamber 501, the smoke can neutralize the charged particles therefore reducing the amount of ion within the chamber. This can then disrupt the electrical current between the two plates and causes ionization sensor 500 to send a signal to second analog front end amplifier 502. The signal from second analog front-end amplifier 502 can then be sent to microprocessor 406. And microprocessor 406 can then use the signal to perform sets of instructions according to the algorithms, and parameters stored within smoke detector memory 407.
  • Figure 6 illustrates a smoke detector memory 407 comprising smoke detector application 304, a plurality of ionization smoke signatures 601, a plurality of light smoke signatures 602, and a plurality of thresholds 603.
  • ionization smoke signatures 601 can relate to how ionization chamber 501 interacts with one of the particulates.
  • light smoke signatures 602 can comprise a plurality of low-frequency light smoke signatures 604 and a plurality of high-frequency light smoke signatures 605.
  • Each of low-frequency smoke signature 604 can relate to how a low-frequency light interacts with one of the particulates
  • each of high-frequency light smoke signature 605 can relate how a high-frequency light interacts with one of the particulates.
  • thresholds 603 can comprise ionization PTR threshold 606, a low-frequency light PTR threshold 607 and a high-frequency light PTR threshold 608.
  • FIG. 7 A illustrates an exemplary method of transmitting a smoke alarm data 701 by smoke detector 200.
  • smoke detector 200 can continuously scan for wired connectivity over Ethernet.
  • each smoke detector can be programmed with information about where it is located within a facility.
  • smoke detector 200a can be programmed by a user to know it is in a first-floor master bedroom while smoke detector 200b can be programmed to know it is in a kitchen.
  • smoke detector 200 can connect wirelessly or by wired connection.
  • first smoke detector 200a can be capable of establishing a Wi-Fi connection by hopping to the nearest available mesh connection point such as nearest smoke detector 200.
  • first smoke detector 200a is using Power over Ethernet (PoE)
  • PoE Power over Ethernet
  • first smoke detector 200a can also check for power status. In the event that power is lost, first smoke detector 200a can proceed in checking the battery charge status. Next, first smoke detector 200a can send the first smoke detector's battery status and at the same time send the signal for the alarm for loss of wired connectivity over the mesh network. Further, smoke detectors 200 can continue to monitor the smoke through the smoke detection system. At the same time, smoke detectors 200 can seek to re-establish connection to LAN 104. Each smoke detector 200, upon receiving a loss of power information or battery status information from smoke detector 200a can prioritize such information over other information being transferred on LAN, to better ensure safety of users of the system.
  • PoE Power over Ethernet
  • smoke detectors 200 can send a notification to home networking server 101.
  • home monitoring server 101 can notify and send information to emergency response server 102 to inform specific departments to respond to the fire.
  • Each smoke detector 200 upon receiving notification of smoke or fire from smoke detector 200a can prioritize such information over other information being transferred on LAN 104, to better ensure safety of users of the system.
  • a firetruck can be equipped with a wireless emergency personnel router 203 capable of establishing an emergency WIFI connection 201 to devices inside the home.
  • fixed IP addresses can be reserved for and restricted to emergency personnel.
  • smoke detectors 200 could find firetruck router and start relaying data to that.
  • smoke detectors 200 can be configured to connect to wireless emergency personnel router 203 immediately when wireless emergency personnel router 203 is discovered by smoke detector 200.
  • smoke detectors 200 can be configured to connect to wireless emergency personnel router 203 immediately when wireless emergency personnel router 203 is discovered by smoke detector 200 if and only if smoke detector 200 or any other smoke detector 200 connected to smoke detector within a common mesh network is detecting smoke.
  • smoke detectors 200 can send smoke alarm data 701 to the router 203 of the fire truck.
  • smoke detection data can include a location where smoke has been detected, a type of smoke detected (e.g., smoke smoldering or fast burning), captured image and video files of fires, and/or a floor plan that show the areas where smoke has been detected. Such information can aid responders to strategically respond to the fire.
  • each smoke detector 200 can comprise a single microprocessor 406.
  • microprocessor 406 can comprise both network transport processor 411 and smoke alarm processor 412.
  • the network transport processor can allow microprocessor 406 to operate as a node while the smoke alarm processor 412 can allow microprocessor 406 to receive smoke alarm data 701 from the smoke detection system.
  • smoke detector 200a can operate as a node in a mesh network by receiving and sending network data 702 across LAN 104.
  • microprocessor 406 can receive smoke alarm data 701 from smoke detection system within smoke detector 200.
  • smoke detector 200a can interrupt sending network data 702 across LAN 104 and starts sending the smoke alarm data 701 across LAN 104.
  • smoke detector 200a can send the smoke alarm data to home monitoring server 101.
  • home monitoring server 101 can send smoke alarm data 701 to emergency response servers 102.
  • emergency response servers 102 can store smoke alarm data 701 on server data storage 305 and notify specific departments to respond to the fire.
  • smoke detector 200a can send the smoke alarm data directly to emergency response servers 102.
  • smoke detector 200a in a scenario wherein smoke detector 200a can find wireless emergency personnel router 203 nearby, smoke detector 200a can start establishing WIFI connection 201 with wireless emergency personnel router 203 and start sending the smoke alarm data to the wireless emergency personnel router.
  • smoke detector 200a can resume sending and receiving network data 702 to other smoke detectors 200 in mesh network.
  • FIG. 7B illustrates another exemplary method of transmitting smoke alarm data 701 received from a second smoke detector.
  • smoke detector 200 can comprise a plurality of microprocessor 406.
  • smoke detector 200 can comprise a processor dedicated for network transport and a processor dedicated for smoke detection.
  • smoke detector 200 can be capable of operating as a node and while operating as a node, can operate as smoke detection system.
  • smoke detector 200a can operate as a node in mesh network of LAN 104. As such, smoke detector 200a can receive network data 702 and send network data 702 across LAN 104.
  • second smoke detector 200b can start sending smoke alarm data 701 over mesh network.
  • smoke alarm data 701 can comprise a map related to the location of second smoke detector 200b.
  • smoke alarm data 701 can comprise images captured by camera 409 on second smoke detector 200b.
  • microprocessor 406 on second smoke detector 200b can send a signal to camera 409 turning the camera on.
  • camera 409 on smoke detector 200a can start capturing images and/or videos of the area.
  • smoke alarm data 701 from second smoke detector 200b can comprise a fire type.
  • smoke detection system of smoke detectors 200 can be capable of identifying if smoke detected from an area can be from smoldering fire, or fast burning fire. Further in a scenario wherein wired connection can still be available, second smoke detector 200b can send smoke alarm data 701 through wired connection. In another scenario wherein wired connection can be lost, second smoke detector 200b can start establishing WIFI connection 201 to the nearest smoke detector 200 and then send smoke alarm data 701 across LAN 104.
  • smoke detector 200a while still operating as node, can start receiving smoke alarm data 701 from second smoke detector 200b and can receive other data within network data 702.
  • smoke detector 200a Upon receiving alarm data from second smoke detector 200b, smoke detector 200a can send a signal to audio speaker 408. In return, audio speaker 408 can initiate sounding an audible alarm.
  • smoke detector 200a can halt sending other data and then start sending the smoke alarm data 701 across LAN 104.
  • smoke detector 200a can resume sending and receiving network data 702 to other smoke detectors 200 in mesh network.
  • Figure 7C illustrates another exemplary method of transmitting smoke alarm data by a smoke detector and sending smoke alarm data to an emergency personnel router 203.
  • smoke detector 200a when fire starts to develop in an area wherein smoke detector 200a can be located, smoke detector 200a can be capable of receiving smoke alarm data 701 through the smoke detection system of smoke detector 200a.
  • Microprocessor 406 can also detect wireless emergency personnel router 203 that can be nearby. Once detected, microprocessor 406 can connect to wireless emergency personnel router using a connection protocol, and then send smoke alarm data 701 via emergency personnel router 203.
  • a fire can come from a different area and can be detected by a second smoke detector 200b.
  • second smoke detector 200b can begin sending smoke alarm data 701 across LAN 104.
  • smoke detector 200a can first connect to LAN 104 to receive smoke alarm data 701 from second smoke detector 200b.
  • smoke detector 200a can receive smoke alarm data 701 through a wired connectivity.
  • smoke detector 200a can receive smoke alarm data 701 through the mesh network.
  • microprocessor 406 upon receiving smoke alarm data 701 by smoke detector 200a, can disconnect from LAN 104.
  • the connection protocol can comprise one or more IP addresses from wireless emergency personnel router 203.
  • smoke detector 200a can detect one of the one or more IP addresses from a signal from wireless emergency personnel router 203. Then smoke detector 200a can connect to one of the one or more IP addresses.
  • the connection protocol can comprise a range of IP addresses. In such embodiment, smoke detector 200a can detect an IP address from a signal from wireless emergency personnel router 203 and then connect to the IP address. The signal can comprise an IP address within the range of IP addresses.
  • the connection protocol can comprise an SSID. In such embodiment, smoke detector 200a can detect SSID broadcast in a signal by wireless emergency personnel router 203 and then connect to SSID broadcast by the wireless emergency personnel router 203.
  • FIG. 8 A illustrates photoelectric sensor comprising a single light source 401.
  • photoelectric sensor 400 can comprise a single light source 401, a light receiver 402, a light catcher 801, and a photoelectric sensor chamber (PES) chamber 802.
  • light source 401 emits a high-frequency wavelength such as blue or higher.
  • PES photoelectric sensor
  • a first light signal 803a travels from light source 401 to light catcher 801 without refraction.
  • light receiver 402 senses little or none of first light signal 803a.
  • first light signal 803a As particulates 804 enter PES chamber 802, the particulates can cause first light signal 803a to refract, and light receiver 402 begins to receive a portion of first light signal 803a. The more smoke enters PES chamber 802 the more light first light signal 803a is refracted toward light receiver 402. Light receiver 402 can transmit light data to microprocessor 406. Light data can be analyzed by microcontroller, as discussed further below.
  • FIG. 8B illustrates photoelectric sensor comprising two light sources 401.
  • photoelectric sensor 400 can comprise a low-frequency light source 401a, a high- frequency light source 401b, one or more light catchers 801, and a light receiver 402, and a PES chamber 802.
  • light receiver 402 can comprise of multiple receivers, each configured to receive a particular wavelength.
  • light receiver 401b can comprise a high-frequency light receiver and a low-frequency light receiver.
  • high-frequency light source 401b emits a high-frequency light signal such as blue or higher while low-frequency light source 401a emits low-frequency light such as red or infrared.
  • a first light signal 803a travels from light source 401 to light catcher 801a without refraction.
  • second light signal 803b travels from light source 401 to light catcher 801b without refraction
  • light receiver 401 senses little or none of first light signal 803a.
  • the particulates first light signal 803a and second light signal 803b begin to refract, and light receiver 402 begins to receive a portion of first light signal 803a and 803b.
  • first light signal 803a and second light signal 803b can refract more or less depending on each frequency.
  • Light receiver 402 can transmit light data to microprocessor 406.
  • Figure 9A illustrates high frequency light data and low-frequency light data being compared with a high-frequency light smoke signature 605 and a low-frequency light smoke signature 604, in a scenario in which polyester is burning.
  • Light data 901 can comprise high- frequency light data and low-frequency light data. Such data can be analyzed by microcontroller 405. Further, when light hits a particle near the size or smaller than its wavelength, it tends to refract less. As such, low frequency light 401a may refract less than high frequency light 401b if particles are sufficiently small.
  • High frequency light data and low frequency light data are compiled by taking readings over time of the high frequency light 401b and low frequency light 401a, each time determining a power transfer ratio (PTR).
  • PTR power transfer ratio
  • High frequency smoke signatures can, in one embodiment, be compiled high-frequency PTR data.
  • low frequency smoke signatures can, in one embodiment, be compiled low-frequency data.
  • a size of particulates can be inferred which can be indicative of the type of particle. For example, such analysis could be used to distinguish between smoke and dust, thereby preventing a false- positive alarm.
  • analysis can determine whether high-frequency light PTR data has exceeded a high-frequency PTR threshold 608. Similarly, analysis can determine whether low- frequency light PTR data has exceeded a low-frequency PTR threshold 607. Furthermore, in one embodiment, an analysis to determine whether an alarm sequence should be run can be determined by looking to both low-frequency light data and high-frequency light data.
  • microprocessor can analyze high-frequency light data and/or low-frequency light data to see the rate in which PTR data changes. For example, in the case of a burning sofa cushion in Figure 9A, there is a rapid rate of change.
  • Figure 9B illustrates high frequency light data and low-frequency light data being compared with a high-frequency light smoke signature and a low-frequency light smoke signature, in a scenario in which a hamburger is burning on the stove. By comparison, the hamburger, an organic material burns much slower.
  • Microprocessor 405 when receiving light data as shown in Figure 9B, can compare the light data to smoke profiles, and recognize such data fits the curve of burning organic material. In this case, an alarm will not initiated since such curve and its related particulates are not indicative of a fire.
  • FIG. 10 illustrates an exemplary method for detecting smoke using a photoelectric sensor.
  • low-frequency light smoke signatures 604 and high-frequency light smoke signatures 605 can be stored in smoke detector memory 407.
  • Each of the low-frequency smoke signatures 604 relates to how a low-frequency light interacts with one of a plurality of particulates 804, and each of high-frequency smoke signatures 605 relates to how a high- frequency light interacts with one of a plurality of particulates 804.
  • Each of particulates 804 can be indicative or non-indicative of a fire.
  • photoelectric sensor 400 can detect a change in light intensity of light source 401. As particulates 804 enters PES chamber 802, photoelectric sensor 400 can detect particulates presence and transmits a signal to light receiver 402. Light receiver 402 can send light data 901 to microprocessor 406 to be analyzed. Upon receiving light data 901, microprocessor 406 can extract a low-frequency light data 1001 and a high-frequency light data 1002 from light data 901. Then, microprocessor 406 can compare low-frequency light data 1001 with low-frequency light smoke signatures 604 to determine if low-frequency light data 1001 matches any of low-frequency light smoke signatures 604.
  • microprocessor can also compare high-frequency light data 1002 with high-frequency light smoke signatures 605 to determine if high-frequency light data 1002 matches any of high-frequency light smoke signatures 605. Then, microprocessor 406 can initiate an alarm sequence if low-frequency light data 1001 matches low-frequency light smoke signature 604 related to a fire-indicative particulate, and if high-frequency light data 1002 matches high-frequency light smoke signature 605 related to fire-indicative particulate.
  • each of low-frequency smoke light signatures 604 can comprise low-frequency power-transfer-ratio (PTR) data
  • each of high- frequency smoke light signatures 605 comprises stored high-frequency PTR data.
  • comparing low-frequency light data 1001 to the low-frequency smoke signatures 604 can comprise curve matching low-frequency light data 1001 to stored low-frequency PTR data.
  • comparing high-frequency light data 1002 to high-frequency smoke signatures 605 can comprise curve matching high-frequency light data 1002 to stored high-frequency PTR data.
  • comparing low-frequency light data 1001 to low- frequency smoke light signatures 604 can comprise determining whether the low-frequency light data 1001 reaches a predetermined PTR threshold.
  • comparing the high- frequency light data 1002 to high-frequency smoke signatures 605 can comprise determining whether high-frequency light data 1002 reaches a predetermined PTR threshold.
  • FIG 11A illustrates ionization sensor 500 with no particulates 804 in an ionization chamber 501.
  • ionization sensor 500 can comprise a radioactive element, a circuit 1101 and ionization chamber 501.
  • a current will flow through circuit 1101 and such circuit will send current data to microprocessor 406.
  • Figure 1 IB illustrates ionization sensor 500 with particulates enter ionization chamber. As particulates 804 enter ionization chamber 501, current flowing through circuit 1101 decreases, current data reflecting such change. Current data can be analyzed by microprocessor 406, as discussed further below to determine whether particulates are indicative of a fire.
  • Figure 11C illustrates current data 1102 being compared with ionization smoke signature, in a scenario in which polyester is burning. As shown on the graph, as particulates 804 fill ionization chamber 501, they quickly cut off current flow in the circuit causing a drop in current in current data 1102. Curve comparison as shown in figure 11C can be accomplished using numerical methods known in the art to determine if current data 1102 matches any ionization smoke signature stored in memory 407, such as the ionization smoke signature 601 shown in figure l lC.
  • analysis can determine whether ionization current data 1102 has dropped below an ionization current threshold 606. If so, and alarm sequence can be initiated.
  • microprocessor 406 can analyze ionization current data to see the rate in which ionization current data 1102 changes. For example, in the case of a burning sofa cushion in Figure 11C, there is a rapid drop in current.
  • Figure 11D illustrates ionization current data being compared with ionization smoke signature 601, in a scenario in which a hamburger is burning on the stove. By comparison, the hamburger, an organic material burns much slower than a couch cushion.
  • Microprocessor 406 when receiving ionization current data as shown in figure 11D, can compare the ionization current data to ionization smoke profiles, and recognize such data fits the curve of burning organic material. In this case, an alarm will not be initiated since such curve and its related particulates are not indicative of a fire.
  • microprocessor 406 can consider ionization current data along with light data from photoelectric sensor 400.
  • light data can be related to a single light source 401.
  • light data can be related to two light sources, a high frequency light 401b and a low frequency light 401a.
  • FIG 12 illustrates an exemplary method for detecting smoke using an ionization sensor 500.
  • ionization smoke signatures 601 can be stored within smoke detector memory 406, wherein each of ionization smoke signatures 601 relates to how ionization chamber 501 interacts with one of particulates 804.
  • microprocessor 406 can receive current data 1102 from ionization sensor 400.
  • Microprocessor 406 can compare current data 1102 with ionization smoke signatures 601 to determine if current data 1102 received matches any of ionization smoke signatures 601.
  • microprocessor 406 can initiate an alarm sequence based at least in part on a determination as to whether current data 1102 received matches an ionization smoke signature 601 related to a fire-indicative particulate of particulates 804.
  • microprocessor 406 can store a plurality of first light smoke signatures within smoke detector memory 407, receive first light data compare first light data with first light smoke signatures to determine if first light data matches any of first smoke signatures. Then, microprocessor 406 can initiate the alarm sequence further based at least in part on an additional determination as to whether first light data matches first light smoke signatures related to fire indicative particulate.
  • microprocessor 406 can store in smoke detector memory 407 a plurality of second light smoke signatures, wherein each of second light smoke signatures relates to how a second light signal from a second light source interacts with one of particulates 804. Moreover, microprocessor 406 can receive second light data, compare second light data with second light smoke signatures to determine if second light data matches any of second smoke signatures, and initiate the alarm sequence further based at least in part on a second additional determination as to whether second light data matches a second light smoke signatures related to second indicative particulate.
  • each of the first light smoke signatures can comprise stored first light power-transfer-ratio (PTR) data
  • each of second light smoke signatures can comprise stored second light PTR data.
  • PTR light power-transfer-ratio
  • comparing first light data to first light smoke signatures can comprise curve matching first light data to stored first light PTR data.
  • low- frequency light can be red
  • comparing second light data to second light smoke signatures can comprise curve matching second light data to stored second light PTR data.
  • comparing first light data to first light smoke signatures can comprise determining whether first light data reaches a first light predetermined PTR threshold.
  • comparing second light data to the smoke signatures can comprise determining whether the second light data reaches a first light predetermined PTR threshold.
  • each of the first light smoke signatures can comprise stored ionization power-transfer-ratio (PTR) data.
  • comparing ionization data to ionization smoke signatures can comprise curve matching ionization data to stored ionization PTR data.
  • FIG. 13 illustrate a housing 1300 for a smoke detector 200.
  • housing 1300 can be capable of recessed installation.
  • the smoke detector for recessed installment can comprise housing 1300, a printed circuit board (PCB) 1302, a bottom cover 1303, and a plurality of clips 1304.
  • housing 1300 can be installed within a surface 1301.
  • the top portion of housing 1300 can be embedded within surface 1301 and out of sight while bottom cover 1303 can be accessible to the outer environment.
  • surface 1301 can be a drywall.
  • surface 1301 can be plywood.
  • housing 1300 can have a quadrilateral shape.
  • PCB 1302 can comprise one or more smoke detection systems.
  • PCB 1302 can comprise smoke detection system
  • photoelectric sensor 400 can placed off to the side of PCB 1302.
  • PCB 1302 can comprise smoke detection systems
  • photoelectric sensor 400 can be placed off to the side of PCB 1302 while ionization sensor 500 can be placed off to the opposite side of PCB 1302.
  • PCB 1302 can be mounted within housing 1300 such that upon installation into surface 1301, PCB 1302 is approximately at surface 1301.
  • PCB 1302 can comprise a WIFI antenna 1305.
  • WIFI antenna 1305 can be printed on PCB 1302.
  • bottom cover 1303 can extend beyond edges of housing 1301 to form a surface lip 1306.
  • Surface lip 1306 can be capable of interacting with a first side of surface 1301.
  • bottom cover 1303 can be substantially flush to surface 1301.
  • Bottom cover 1303 can comprise one or more air vents 1307.
  • Each of air vents 1307 can be placed directly underneath each of the smoke detection systems.
  • PCB 1302 can comprise smoke detection systems
  • photoelectric sensor 400 can be on one side of PCB 1302, and directly underneath photoelectric sensor 400 can be a first air vent 1307a placed off to the side of bottom cover 1303, while ionization sensor 500 can be on the other side of PCB 1302, and directly underneath ionization sensor 500 can be a second air vent 1307b placed off to the side of bottom cover 1303.
  • Such structure can allow air vents 1307 to receive particulates from the surroundings and allow particulates to enter smoke detector systems within housing 1300.
  • WIFI antenna 1305 can be mounted on a side of bottom cover 1303 such that WIFI antenna 1305 can be below surface 1301. This can ensure that the line-of-sight radio transmissions of WIFI antenna 1305 are not blocked by drywall or ceiling studs.
  • PCB 1302 can comprise camera 409.
  • camera 409 can be mounted on an outer surface of bottom cover 1303 to allow camera 409 a maximum field of vision.
  • the smoke detector for recessed installment can further comprise a PoE connection 1308.
  • PoE connection 1308 can be on a side of housing 1300. PoE can be connectable to an Ethernet cable.
  • each pair of clips 1304 can be at the opposite side of housing 1300.
  • FIG 14 illustrates a mobile device interacting with smart devices over a network.
  • smoke detector application 304 can allow mobile devices 103 to display a floor plan 1400 of the vicinity.
  • smoke detectors 200 can use camera 409 to continuously take images and/or videos of the area wherein the smoke detectors are installed. Concurrently, images or videos taken can be sent by smoke detectors 200 to home monitoring server 101 and/or emergency response servers 102. This can allow the servers to store the data in real-time and to ensure data can be retrieve in case smoke detectors 200 get burned during the fire.
  • floor plan 1400 can have a plurality of areas 1401.
  • first smoke detector 200a can be installed on a first-floor master bedroom area 1401a
  • second smoke detector 200b can be installed on a kitchen area 1401b
  • third smoke detector 200c can be installed on a hallway area 1401c.
  • each smoke detector 200 can be associated with an area profile (stored within server data storage 305).
  • the area profile can comprise of information entered by the user regarding the details of an area, which can include type of flammable material within the area, such as carpets and curtains, location of sprinklers, and the structural material used on the area such as wooden partition, wooden ceilings, etc.
  • the area profile can comprise of information that can be captured during the actual fire situation using camera 409, and sensors on each smoke detector 200.
  • information can include living beings such as animals or persons within the area, burning material within the area, and time that area 1401 has detected smoke or caught fire.
  • users and responders can use mobile devices 103 to view and assess the fire situation within the vicinity.
  • first smoke detector 1401a can be detecting "polyurethane” particles within the area for around 5 minutes and since the wall of master bedroom 1401a can be near kitchen area 1401b, it can indicate that the fire could have come through the wall that separates the area. Furthermore, the "polyurethane" detected by first smoke detector 1401a in master bedroom 1401a can suggest that carpeting or bedding can be on fire. Since third smoke detector 1401c can also be detecting "polyurethane" from hallway area 1401c it can also indicate that carpet on the hallway can be on fire. Base from floor plan 1400 shown in smoke detector application 304, users can plan an escape route while in the case of responders, the responders can find the best way to access each area 1401.
  • smoke detector 200 can be capable of detecting living beings within the vicinity.
  • camera 409 can be an infrared or thermal camera that can be capable of detecting infrared energy and converts it into an electronic signal. The electronic signal can then be processed, which can produce thermal image.
  • smoke detector application 304 can prioritize showing critical items such as areas that can be occupied by living beings and a burn time information for each area.
  • smoke detector application 304 can show superimposed graphics to show location of an occupant, and to show trouble spots (or dangerous and critical areas).
  • Server memory 302 and smoke detector memory 407 is defined herein as including both volatile and nonvolatile memory and data storage components. Volatile components are those that do not retain data values upon loss of power. Nonvolatile components are those that retain data upon a loss of power.
  • server memory 302 and smoke detector memory 407 can comprise, for example, random access memory (RAM), read-only memory (ROM), hard disk drives, solid-state drives, USB flash drives, memory cards accessed via a memory card reader, floppy disks accessed via an associated floppy disk drive, optical discs accessed via an optical disc drive, magnetic tapes accessed via an appropriate tape drive, and/or other memory components, or a combination of any two or more of these memory components.
  • the RAM can comprise, for example, static random access memory (SRAM), dynamic random access memory (DRAM), or magnetic random access memory (MRAM) and other such devices.
  • the ROM can comprise, for example, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or other like memory device.
  • server processor 301 and microprocessor 406 can represent multiple server processor 301 and microprocessor 406, while server memory 302 and smoke detector memory 407 can represent multiple server memory 302 and smoke detector memory 407 that operate in parallel processing circuits, respectively.
  • first local interface 303 can be an appropriate network, including network 105 that facilitates communication between any two of the multiple server processor 301 and microprocessor 406, between any server processors 301 and microprocessors 406 and any of the server memories 302 and smoke detector memories 407, or between any two of the server memories 302 and smoke detector memories 407, etc.
  • First local interface 303 can comprise additional systems designed to coordinate this communication, including, for example, performing load balancing.
  • Server processors 301 and microprocessors 406 can be of electrical or of some other available construction.
  • smoke detector application 304 and other various systems described herein can be embodied in software or code executed by general purpose hardware as discussed above, as an alternative the same can also be embodied in dedicated hardware or a combination of software/general purpose hardware and dedicated hardware. If embodied in dedicated hardware, each can be implemented as a circuit or state machine that employs any one of or a combination of a number of technologies. These technologies can include, but are not limited to, discrete logic circuits having logic gates for implementing various logic functions upon an application of one or more data signals, application specific integrated circuits having appropriate logic gates, or other components, etc. Such technologies are generally well known by those skilled in the art and, consequently, are not described in detail herein.
  • each block can represent a module, segment, or portion of code that comprises program instructions to implement the specified logical function(s).
  • the program instructions can be embodied in the form of source code that comprises human-readable statements written in a programming language or machine code that comprises numerical instructions recognizable by a suitable execution system such as smart box processors 201 and server processors 301 in a computer system or other system.
  • the machine code can be converted from the source code, etc.
  • each block can represent a circuit or a number of interconnected circuits to implement the specified logical function(s).
  • any logic or application described herein, including smoke detector application 304, that comprises software or code can be embodied in any computer-readable storage medium for use by or in connection with an instruction execution system such as, for example, server processors 301 and microprocessors 406 in a computer system or other system.
  • the logic can comprise, for example, statements including instructions and declarations that can be fetched from the computer-readable storage medium and executed by the instruction execution system.
  • a "computer-readable storage medium” can be any medium that can contain, store, or maintain the logic or application described herein for use by or in connection with the instruction execution system.
  • the computer-readable storage medium can comprise any one of many physical media such as, for example, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor media. More specific examples of a suitable computer-readable storage medium would include, but are not limited to, magnetic tapes, magnetic floppy diskettes, magnetic hard drives, memory cards, solid-state drives, USB flash drives, or optical discs.
  • the computer-readable storage medium can be a random access memory (RAM) including, for example, static random access memory (SRAM) and dynamic random access memory (DRAM), or magnetic random access memory (MRAM).
  • RAM random access memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • MRAM magnetic random access memory
  • the computer-readable storage medium can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or other type of memory device.
  • ROM read-only memory
  • PROM programmable read-only memory
  • EPROM erasable programmable read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • LAN local area network
  • ADC analog to digital converter
  • PCB printed circuit board

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Abstract

L'invention concerne un système et un procédé pour effectuer une transmission de données de détecteur de fumée à partir d'un détecteur de fumée. Le détecteur de fumée peut comprendre un système de détection de fumée, une mémoire de détecteur de fumée et un microprocesseur. La mémoire de détecteur de fumée peut comprendre une application de détecteur de fumée. Le microprocesseur peut, selon des instructions provenant de l'application de détecteur de fumée, fonctionner en tant que nœud dans un réseau maillé d'un réseau local par réception de données de réseau et envoi des données de réseau à travers le réseau local. De plus, selon les instructions provenant de l'application de détecteur de fumée, le microprocesseur peut recevoir des données d'alarme de fumée provenant du système de détection de fumée, interrompre l'envoi des données de réseau à travers le réseau local, et reprendre l'envoi des données de réseau aux autres nœuds dans le réseau maillé uniquement après que les données d'alarme de fumée sont complètement envoyées.
PCT/US2018/050959 2017-09-13 2018-09-13 Système et procédé pour effectuer une transmission de données de détecteur de fumée à partir d'un détecteur de fumée WO2019055708A1 (fr)

Priority Applications (9)

Application Number Priority Date Filing Date Title
EA202090711A EA202090711A1 (ru) 2017-09-13 2018-09-13 Система и способ осуществления передачи данных дымового извещателя от дымового извещателя
CA3075858A CA3075858A1 (fr) 2017-09-13 2018-09-13 Systeme et procede pour effectuer une transmission de donnees de detecteur de fumee a partir d'un detecteur de fumee
EP18857071.7A EP3682430A4 (fr) 2017-09-13 2018-09-13 Système et procédé pour effectuer une transmission de données de détecteur de fumée à partir d'un détecteur de fumée
JP2020536918A JP7252237B2 (ja) 2017-09-13 2018-09-13 煙検知器からの煙検知器データ送信を行うシステム及び方法
AU2018332987A AU2018332987A1 (en) 2017-09-13 2018-09-13 A system and method for effecting smoke detector data transmission from a smoke detector
CN201880073638.4A CN111344756A (zh) 2017-09-13 2018-09-13 用于实现来自烟雾探测器的烟雾探测器数据传输的***和方法
MX2020002868A MX2020002868A (es) 2017-09-13 2018-09-13 Un sistema y metodo para efectuar la transmisión de datos de un detector de humo desde un detector de humo.
KR1020207009833A KR20200069298A (ko) 2017-09-13 2018-09-13 이온화 센서를 사용하여 연기를 검출하기 위한 개선된 시스템 및 방법
ZA2020/02386A ZA202002386B (en) 2017-09-13 2020-05-04 A system and method for effecting smoke detector data transmission from a smoke detector

Applications Claiming Priority (12)

Application Number Priority Date Filing Date Title
US201762557779P 2017-09-13 2017-09-13
US62/557,779 2017-09-13
US16/130,950 US10957175B2 (en) 2017-09-13 2018-09-13 Smoke detection enclosure for recessed installment
US16/130,941 2018-09-13
US16/130,950 2018-09-13
US16/130,923 US20190081814A1 (en) 2017-09-13 2018-09-13 System and Method for Effecting Smoke Detector Data Transmission from a Smoke Detector
US16/130,936 US10922941B2 (en) 2017-09-13 2018-09-13 System and method for detecting smoke using a photoelectric sensor
US16/130,923 2018-09-13
US16/130,941 US10559179B2 (en) 2017-09-13 2018-09-13 System and method for detecting smoke using an ionization sensor
US16/130,929 US20190080589A1 (en) 2017-09-13 2018-09-13 System for Effecting Smoke Detector Data using an Emergency Personnel Router
US16/130,936 2018-09-13
US16/130,929 2018-09-13

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CN111179540A (zh) * 2020-01-20 2020-05-19 上海中环科仪消防报警设备有限公司 一种三波长光电式烟雾检测的方法及传感器
EP3968482A1 (fr) 2020-09-15 2022-03-16 Airbus Helicopters Procédé et véhicule muni d'un système de délestage comprenant au moins un détecteur de fumée
FR3114196A1 (fr) * 2020-09-15 2022-03-18 Airbus Helicopters procédé et véhicule muni d’un système de délestage comprenant au moins un détecteur de fumée

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