WO2021171276A1 - Dispositif, système et procédé de transport d'urgence rapide intégré basé sur l'intelligence artificielle - Google Patents

Dispositif, système et procédé de transport d'urgence rapide intégré basé sur l'intelligence artificielle Download PDF

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Publication number
WO2021171276A1
WO2021171276A1 PCT/IB2021/054634 IB2021054634W WO2021171276A1 WO 2021171276 A1 WO2021171276 A1 WO 2021171276A1 IB 2021054634 W IB2021054634 W IB 2021054634W WO 2021171276 A1 WO2021171276 A1 WO 2021171276A1
Authority
WO
WIPO (PCT)
Prior art keywords
emergency
vehicle
gps
central control
gis
Prior art date
Application number
PCT/IB2021/054634
Other languages
English (en)
Inventor
Prem Charles
Balachandra Pattanaik
Sumathi A C
Praveenkumar T R
Nitin PUROHIT
Magesh R
Eshanthini P
Surya G
Sudheesh Chinnaraj
Original Assignee
Prem Charles
Balachandra Pattanaik
Sumathi A C
Praveenkumar T R
Purohit Nitin
Magesh R
Eshanthini P
Surya G
Sudheesh Chinnaraj
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 Prem Charles, Balachandra Pattanaik, Sumathi A C, Praveenkumar T R, Purohit Nitin, Magesh R, Eshanthini P, Surya G, Sudheesh Chinnaraj filed Critical Prem Charles
Publication of WO2021171276A1 publication Critical patent/WO2021171276A1/fr

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/016—Personal emergency signalling and security systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
    • G08B27/001—Signalling to an emergency team, e.g. firemen
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0965—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages responding to signals from another vehicle, e.g. emergency vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard

Definitions

  • the present invention relates to the field of emergency transportation systems and 5 more specifically it relates to the transformation of any automotive into an advanced artificially intelligent system to commute through any traffic scenarios integrated with a cloud server based artificially intelligent application algorithm.
  • Prior art document US20030043056A1 discloses a method for an emergency vehicle alert system for transmitting signals from one or more emergency vehicles to a nearby commuter vehicle includes activating an 15 initiation switch in one or more of the emergency vehicles.
  • a transmitter located in each of the emergency vehicles transmits a uniquely individual signal stamp of a predefined frequency and a GPS signal.
  • Each emergency vehicle can be identified by the uniquely individual signal stamp.
  • Other emergency vehicles and commuter vehicles in the area with the appropriate receiver can detect the transmitted signal 20 stamp.
  • Another prior art US4775865A discloses a system for providing early warning of the approach and egress of emergency vehicles in which the warning system provides a display to indicate the direction from which the emergency vehicle is approaching and in addition provides preemption control of the traffic signals at an 25 intersection.
  • a transmitter mounted on an emergency vehicle transmits a signal whenever it is on an emergency call which is received by infrared (I.R.) receivers positioned at an intersection to respond to the transmitted signals.
  • the received signal is then processed by a master controller which in turn pre-empts operation of traffic signals to control traffic flow at the intersection to which the emergency 30 vehicle is approaching.
  • the master controller also provides an output to display signs facing approaching traffic on each road approaching the intersection which displays messages and symbols indicating the direction of the approaching emergency vehicle. Additionally, the display system indicates whether the emergency vehicle has passed through and is departing the intersection. After a predetermined interval when an emergency vehicle has passed through an I.R.) receivers positioned at an intersection to respond to the transmitted signals.
  • the received signal is then processed by a master
  • the cloud server determines a scope of disclosure of the travel route to other vehicles based on the emergency vehicle route data and which other vehicles different from the emergency vehicle to which to convey the travel route of the emergency vehicle.
  • the cloud server transmits a portion of the travel route of the emergency vehicle to
  • Yet another prior art CN107358811A discloses a kind of ambulance route planning method, mobile terminal and computer-readable recording medium which includes detecting that when an ambulance is in driving condition, the current vehicle location acquisition mobile terminal module of the ambulance obtains the traffic
  • the traffic information system actuates the reverse track route acquisition for mobile terminal, when the road conditions for detecting reverse track route are in unimpeded state, mobile terminal exports reverse track route so as to shorten ambulance travel time.
  • One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all groups used in the appended claims.
  • a general object of the present disclosure is to provide an advanced system for effective commute of any automotive under emergency situations as if it shall be done through an emergency vehicle for specific purpose like an ambulance.
  • An object of the present invention is to provide for a system that can transform any vehicle / an automotive into an emergency vehicle on critical purposes.
  • Yet another object of the present invention is to provide a system that shall be activated, monitored, directed and managed from a remote control center.
  • Yet another object of the present invention is to provide for a system in the said vehicle to provide for an emergency score to the paramedics and a hospital network with reference to the level of criticality of any person who needs an emergency
  • MEWS Modified Early Warning System
  • Yet another object of the present invention is to provide a patient seriousness specific vehicle to vehicle, vehicle to hospital network communication system rendering an efficient time conservation mechanism.
  • Yet another object of the present invention is to operate a network secured, privacy
  • Yet another objective of the present invention is to provide for an integrated Global
  • GPS Positioning System
  • GIS Geographical Information System
  • cloud server based artificially intelligent and automatic traffic signal control mechanism on emergency situations based on the GPS and GIS data.
  • the present disclosure relates to the field of emergency transportation systems and
  • the present disclosure provides a system for effective commuting of any automotive upon an emergency situation, such that the said vehicle of any kind is able to be transformed into an emergency vehicle, say an ambulance.
  • the said system comprises at least one image recording and transmitting devices, at least wireless system activation and deactivation mechanisms, at least one alarming component generally a siren element, at least one light frequency modulation system, at least one MEWS system to monitor the criticality of an emergency
  • a cloud connected platform including a remote location control module, an artificial intelligence based said emergency vehicle to other emergency vehicle, vehicle to destination specific communication system, an integrated, network secured traffic management module that works with virtual or real-time security workforce.
  • the said system completely works on a cloud based platform comprising at least one GPS and GIS setup connected to the said cloud platform in order to keep track of the real-time movement of the said emergency vehicle while also automatically assigning and taking control over the traffic signals along the route of the vehicle in order to provide for an effective and fastest commute to the nearest and feasible
  • the user of the vehicle is provided with an option to request activation for the emergency system from a remote location.
  • the user of the vehicle shall visually notify the personnel in order to request for activation of the emergency system.
  • the activation of the system can be performed either through a personal visual inspection or through an in-vehicle image / video capturing devices.
  • the device within the vehicle is provided with a continuous internet connection or shared internet connectivity from the user’s device.
  • the siren activation and deactivation sources remain separate
  • the device and the system is capable of collecting vehicle and user data from a cloud server’s vehicle database through the central control system.
  • the central control system is capable of collecting patient
  • the central control system is equipped with an artificial intelligence algorithm working through the hospital database of a cloud server to
  • the central control system is equipped with an artificial intelligence traffic signal management algorithm, working through cloud server is capable of determining and assigning the traffic signals on priority, automatically based on many inputs such as the vehicle speed, traffic intensity, distance between
  • FIG. 1A illustrates an apropos schematic representation of positioning various components of the system in and within a vehicle and communicating with the cloud server based central control system.
  • FIG. IB illustrates a befitting schematic representation of positioning the MEWS device within the vehicle.
  • FIG. 2 illustrates an exemplary schematic diagram representation of the proposed system for activation and deactivation of the siren system for the vehicle in
  • FIG. 3 illustrates an exemplary flow diagram of the system for making decisions upon assigning a halfway ambulance.
  • FIG. 4 illustrates an exemplary flow diagram of the artificial intelligence based GPS and GIS module functions in routing the emergency vehicle upon different
  • FIG. 5 illustrates an exemplary flow diagram of the artificial intelligence based automated traffic signal management system for the said emergency vehicles.
  • FIG. 6 illustrates an exemplary flow diagram of the artificial intelligence algorithm for automated and choice based GPS routing based on the GIS information.
  • FIG. 7 illustrates an exemplary flow diagram of the artificial intelligence algorithm for automated traffic signal management module of the said emergency vehicles.
  • Embodiments explained herein relate to a highly efficient and artificially intelligent system of transforming any vehicle into an emergency vehicle for the achieving a faster commute during an emergency.
  • the disclosed system and the method may ensure fastest transportation
  • the disclosed system and method can be used to transform any vehicle into an emergency vehicle upon installing the device to it and connecting
  • FIG. 1A illustrates an apropos schematic representation of positioning various components of the system in and within a vehicle and communicating with the cloud server based central control system in accordance with an embodiment of the present disclosure.
  • an emergency vehicle include an emergency call switch 101 for raising an activation request of emergency siren to the remote central control system 107 and a camera equipped with smart card reader 102 to enable the central control system to check reliability and conformity of the request and monitor the criticality of the patient live at any given time, the smart card reader collects the vehicle driver’s driving license information along with a voice based passcode verification 5 mechanism in order to eliminate utilization of a stolen driver’s license and to find the identity of the person driving the vehicle; a plurality of emergency lighting arrangement 103 mounted over corners of the vehicle body in front and back, that works immediately after the emergency switch 101 is activated and delivers a visual signal of the vehicle driving on an emergency situation to the police and other 10 vehicles and a wireless activation system receiver / transmitter and switch 104 holding a unique information matrix such as, not limiting to the vehicle number, chassis number, device ID, GPS ID etc., that may be provided as a bypass switch which shall activate the siren and the system through a handheld receiver / transmitter with a police personnel when remote activation fails or is not
  • FIG. IB illustrates a befitting schematic representation of positioning the MEWS device 105 within the vehicle 106.
  • the MEWS device 105 captures the health condition of the patient who requires emergency medical care and the central control system 107 is capable of ascertaining the level of criticality of the person at 20 any point of time.
  • FIG. 2 illustrates an exemplary schematic diagram representation of the proposed system for activation and deactivation of the siren and the system for the vehicle upon emergency.
  • the sub system 200 for activation and deactivation of the siren and the system 100 is switches ON as soon as the driver of the vehicle 106 25 triggers the emergency call switch 101, the emergency depicting light arrangement 103 as a visual alert for other vehicles on road.
  • the remote activation trigger 201 of the central control system will be alerted with immediate effect.
  • the personnel at the remote activation trigger 201 shall access and verify the data from the camera 102 and MEWS device 105 and upon verification of the information 202 and if the 30 information so transmitted proves to be reliable and critical in the hands of the remote activation trigger personnel 201, the siren of the vehicle 106 along with GPS and GIS systems 204 of the device will be activated with due notification to the police and traffic control rooms.
  • the real-time GPS location of the vehicle and the GIS infor ation 205 shall be tracked in-order to ensure that the vehicle and the system
  • the siren system 204 of the vehicle and the system 100 shall be deactivated as soon as the vehicle reaches the GIS location 206 or post verification of the personnel at the hospital for authentication, as the case may be.
  • the control center 201 finds to be difficult in analyzing or doubtful in nature, the emergency lighting system 103, the visual alert of the vehicle alone shall be activated and the information shall be passed to the nearest traffic signal or police personnel or highway patrol vehicle for live verification 203 of the vehicle.
  • the police personnel shall be equipped with a wireless transmitting or receiving device
  • FIG. 3 illustrates an exemplary flow diagram of the system for making decisions upon assigning a halfway ambulance for the vehicle 106 on emergency. As shown, the emergency halfway ambulance allotment system 300 gains access to the vehicle
  • FIG. 4 illustrates an exemplary flow diagram of the artificial intelligence (AI) based
  • GPS and GIS module functions in routing the emergency vehicle upon different situations to an apt hospital.
  • the AI based routing module 400 of the system gains access to the hospital database 401 of the cloud server upon receiving an emergency request from a vehicle 106.
  • the central control system 302 in access to the hospital database
  • the control center automatically and intelligently analyzes the nature and level of criticality from the MEWS data collected along with the distance of the nearest
  • the GPS of the system automatically routes the vehicle 106 to a nearest specialty hospital 402 as per the GIS information and the nature of emergency without providing an
  • the system 302 finds the MEWS data to be not critical, an opportunity for the driver to choose between the list of available hospitals as per the reviews and the earliest reach from the GIS information and route the vehicle to a hospital out of their own choice 403 and assign the GPS accordingly.
  • the MEWS data and the emergency related information shall be passed to the concerned hospital 404 along with the live location, criticality etc.,
  • FIG 5 illustrates an exemplary flow diagram of the artificial intelligence based automated traffic signal management system for the said emergency vehicles.
  • the AI based automated emergency vehicle traffic management system 500 is capable of prioritizing and automatically operating the traffic signals upon a plurality of such emergency vehicles 501, 502, 503, 504 approaching a junction with traffic signals on a plurality of directions.
  • the AI based traffic management module of the cloud server 505 simultaneously analyzes the MEWS data of all emergency vehicles 5 approaching a junction at any point of time with top priority as shown in FIG. 6, the highest criticality will be given the top preference after considering the speed of the vehicle, the distance between the signal junction and the vehicle and the real time traffic intensity in any direction and assign the traffic signal 507 automatically based on the highest priority and the least priority conditions.
  • the present disclosure provides an improved system for commuting patients to 10 hospital during emergencies.
  • the present disclosure provides a highly efficient method of transforming any vehicle into an emergency vehicle for the purpose.
  • the present disclosure provides a secured method of activating, controlling and monitoring such transformed emergency vehicles in terms of usage.
  • the present disclosure provides an advanced method of emergency vehicle traffic management system.
  • the present disclosure provides an advanced methodology for decision making on directing a patient to a nearest hospital or a hospital of selection based on the scenario.

Abstract

L'invention concerne un dispositif, un système et un procédé de transport d'urgence rapide intégré basé sur l'intelligence artificielle. Le dispositif et le système (100) selon l'invention comprennent un commutateur d'urgence (101) pour déclencher une demande d'urgence, une caméra à lecteur de carte à puce intégré (102) pour analyser à distance les informations d'urgence en direct, une pluralité d'agencements d'éclairage d'urgence (103) pour afficher visuellement la demande de transport d'urgence, un agencement émetteur/récepteur basé sur la fréquence (104) pour l'activation manuelle du dispositif, du système et de la sirène, un dispositif de type système d'alerte précoce modifié (MEWS) (105) pour analyser la gravité de la maladie; un serveur, éventuellement un serveur en nuage (107) et un centre de commande central (302) pour gérer le processus global comprenant une pluralité de modules de gestion de trafic et de routage de véhicule automatique à GPS et GIS reposant sur l'intelligence artificielle pour garantir un acheminement le plus rapide possible d'un patient à un centre de secours d'urgence/hôpital.
PCT/IB2021/054634 2020-05-28 2021-05-27 Dispositif, système et procédé de transport d'urgence rapide intégré basé sur l'intelligence artificielle WO2021171276A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN202041022320 2020-05-28
IN202041022320 2020-05-28

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WO2021171276A1 true WO2021171276A1 (fr) 2021-09-02

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114913664A (zh) * 2022-05-13 2022-08-16 安徽光智科技有限公司 一种火灾探测联动控制系统及方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140309893A1 (en) * 2013-04-15 2014-10-16 Flextronics Ap, Llc Health statistics and communications of associated vehicle users

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140309893A1 (en) * 2013-04-15 2014-10-16 Flextronics Ap, Llc Health statistics and communications of associated vehicle users

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MD. IBRAHIM MAMUN ET AL.: "Healthcare Monitoring System Inside Self-driving Smart Car in 5G Cellular Network", 2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN, 30 January 2020 (2020-01-30), pages 1515 - 1520, XP033700802 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114913664A (zh) * 2022-05-13 2022-08-16 安徽光智科技有限公司 一种火灾探测联动控制系统及方法

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