EP4019448A1 - Passagiernotfalldetektionssystem - Google Patents

Passagiernotfalldetektionssystem Download PDF

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Publication number
EP4019448A1
EP4019448A1 EP20020642.3A EP20020642A EP4019448A1 EP 4019448 A1 EP4019448 A1 EP 4019448A1 EP 20020642 A EP20020642 A EP 20020642A EP 4019448 A1 EP4019448 A1 EP 4019448A1
Authority
EP
European Patent Office
Prior art keywords
passenger
elevator
cabin
emergency
invention according
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP20020642.3A
Other languages
English (en)
French (fr)
Inventor
Georgios GEORGIADIS
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Kleemann Hellas SA
Original Assignee
Kleemann Hellas SA
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 Kleemann Hellas SA filed Critical Kleemann Hellas SA
Priority to EP20020642.3A priority Critical patent/EP4019448A1/de
Publication of EP4019448A1 publication Critical patent/EP4019448A1/de
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006—Monitoring devices or performance analysers
    • B66B5/0012—Devices monitoring the users of the elevator system

Definitions

  • Present invention refers to a passenger emergency detection system in an elevator.
  • the above-mentioned system is able to detect an emergency situation, such as loss of conscience of a passenger, heart attack or any other kind of medical situation that affects the ability to physically act, through a camera that is placed in the elevator cabin. Following are described further details about the invention.
  • the presented invention is a passenger emergency detection system.
  • the first part of the presented invention concerns the presence of a real-time, multi-space, multi-camera tracking system to a fall detection system with all the deriving qualities, such as monitoring any cabin area regardless its size by the use of multiple depth sensors that retain passengers' individual privacy.
  • the detection system is based on key features that characterize a fall, such as vertical velocity and area variance, while falling process is modelled by Hidden Markov Models (HMM).
  • HMM Hidden Markov Models
  • the system produces alarms, or sends a signal, like an auto dialler, that may call for immediate assistance to the person that is in need.
  • the controller manages the immediate cabin movement to the ground floor (or any other floor that has been declared as the reference floor) and door opening, so the person in need is visible from outside.
  • the fan speed is increased so to provide the feeling of additional air to the person that has fainted out in the cabin.
  • Figure 1 is presented in detail the way that the system works.
  • One of the most important aspects is to discriminate whether the passenger has actually fainted out or just bended over, for example picking up something or tie shoes. For that reason, the detection method extracts data as vertical velocity and area variance. Moreover, in case that the passenger remains on the floor several acts are going to take place and they are all presented in the figure.
  • Figure 2 visualize better the idea of the passenger emergency detection system.
  • One of the main parts of the system is the detection camera (1).
  • the applied camera calibration algorithm permits the use of multiple cameras that refer to a common coordinate system in the cabin, so that any area, regardless its size, can be monitored.
  • possible constrictions are handled by deploying a virtual top-view camera based on calibration data, even though the overall detection-tracking procedure is performed on the horizontal plane.
  • the passenger On the left side of the figure the passenger is standing (2a) in the elevator cabin, while on the right side is presented a fall event and the passenger is laying (2b) on the cabin floor.
  • the fall is modelled by HMM based on characteristics like vertical velocity and area variance from top view of the tracked passenger.
  • the system is connected to the elevator controller so the corresponding signal sets on the alarm, increases the cabin ventilation and moves the cabin to the ground floor (or any other reference floor) with the door (3) on the open position.
  • the corresponding signal (digital or through loT) for help is sent to the proper service, that had been selected as an emergency contact.
  • Figure 3 shows a fall event in an elevator cabin as it is depicted by the system camera. It is obvious that it is impossible to have a face recognition and the system does not record any other personal data of the passengers. Therefore, the system can be used in public buildings since none personal data is violated. The system recognizes only the outline of the passengers, while the collected data of vertical velocity and area variance leads to the activation of emergency procedures as they are presented in Figure 1 .

Landscapes

  • Maintenance And Inspection Apparatuses For Elevators (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)
EP20020642.3A 2020-12-22 2020-12-22 Passagiernotfalldetektionssystem Pending EP4019448A1 (de)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP20020642.3A EP4019448A1 (de) 2020-12-22 2020-12-22 Passagiernotfalldetektionssystem

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP20020642.3A EP4019448A1 (de) 2020-12-22 2020-12-22 Passagiernotfalldetektionssystem

Publications (1)

Publication Number Publication Date
EP4019448A1 true EP4019448A1 (de) 2022-06-29

Family

ID=73856683

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20020642.3A Pending EP4019448A1 (de) 2020-12-22 2020-12-22 Passagiernotfalldetektionssystem

Country Status (1)

Country Link
EP (1) EP4019448A1 (de)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115893140A (zh) * 2022-11-21 2023-04-04 无锡禾木森智能科技有限公司 一种电梯轿厢内人员跌倒状态检测系统

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016085795A1 (en) * 2014-11-26 2016-06-02 Otis Elevator Company Elevator security and control system based on passenger movement
WO2019076917A1 (de) * 2017-10-17 2019-04-25 View Promotion Gmbh Verfahren zur überwachung einer aufzugskabine

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016085795A1 (en) * 2014-11-26 2016-06-02 Otis Elevator Company Elevator security and control system based on passenger movement
WO2019076917A1 (de) * 2017-10-17 2019-04-25 View Promotion Gmbh Verfahren zur überwachung einer aufzugskabine

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115893140A (zh) * 2022-11-21 2023-04-04 无锡禾木森智能科技有限公司 一种电梯轿厢内人员跌倒状态检测系统
CN115893140B (zh) * 2022-11-21 2024-01-12 无锡禾木森智能科技有限公司 一种电梯轿厢内人员跌倒状态检测系统

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