KR20170060756A - Development of emergency detection system using environment information in elevator passenger and method thereof - Google Patents

Development of emergency detection system using environment information in elevator passenger and method thereof Download PDF

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KR20170060756A
KR20170060756A KR1020150165300A KR20150165300A KR20170060756A KR 20170060756 A KR20170060756 A KR 20170060756A KR 1020150165300 A KR1020150165300 A KR 1020150165300A KR 20150165300 A KR20150165300 A KR 20150165300A KR 20170060756 A KR20170060756 A KR 20170060756A
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Prior art keywords
elevator
impact
magnitude
sound
emergency situation
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KR1020150165300A
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Korean (ko)
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KR101752066B1 (en
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권구락
김정묵
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조선대학교산학협력단
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
    • H04N19/139—Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The present invention relates to an emergency situation detection system and method using environment information of an elevator occupant who recognizes occurrence of an abnormal situation primarily by detecting noise, impact, etc. generated after a passenger boarding an elevator, A plurality of photographing units 100 for photographing the interior of the elevator and outputting photographed image signals; An acoustic sensing unit 200 provided in the elevator for receiving and outputting sound generated in the elevator; An impact sensing unit 300 provided in the elevator and sensing and outputting an impact state of the elevator; A sound intensity analyzer 420 for measuring a sound intensity of the sound signal input from the sound sensing unit 200 and generating and outputting a warning event if the sound intensity is greater than a reference sound intensity level, An impact analyzer 430 for comparing the derived impact quantity with a reference impact quantity and generating and outputting a warning event when the input shock quantity is large; and a warning event detector 430 for detecting a warning event from the sound quantity analyzer 420 and the impact analyzer 430 And an alarm generating unit 440 for recognizing an emergency situation when it is inputted and generating and sending an alarm signal. Therefore, even if the victim can not be notified of the dangerous situation, it is possible to quickly identify the emergency situation and protect the passenger from the serious crime.

Description

Technical Field [0001] The present invention relates to an emergency situation detection system using environmental information of an elevator occupant,

The present invention relates to an emergency situation detection system and method using environmental information of an elevator occupant, and more particularly, to an elevator occupant detection system and method for detecting an emergency situation by detecting a noise, an impact, etc., And more particularly, to a system and method for detecting an emergency situation using environmental information.

As a national policy, the Ministry of Public Administration and Security (MOFA) has mandated the installation of an emergency call system to detect an emergency situation in an elevator. In 2014, the law was amended to enact legal remedies if emergency call systems were not installed. Current demand for elevator policies and market expansion has increased sharply, but currently installed emergency systems are being used for follow - up action or crackdown rather than accident prevention. This focuses on situational responses rather than solving fundamental problems.

The incidence of crime in elevators is on the rise and is a social issue. An elevator having an isolated structure from the outside has various problems such as reduction of the number of passengers and deterioration of CCTV installed inside.

This affects the increasing frequency of felony crimes such as sex crimes and violent incidents in the elevator. To cope with such a problem, a system for ensuring the safety of passengers is required.

In case of crime inside the elevator, it is necessary for the victim to directly communicate the emergency situation to the guard room and the rescue institution or to check directly by the administrator. The faster the transmission of the emergency situation, the less the human or material loss of the victim. However, there is a problem that access is difficult when the CCTV manager is absent, or when the attacker blocks access to the device. If the response is late as in the above case, the victim may suffer irreparable damage.

It is necessary to develop a safety device to automatically determine the emergency situation in case of such felony crime, greatly reduce the crime rate and allow the victim to easily inform the emergency situation.

Korean Patent No. 10-1161267

In order to meet such a technical development need, the present invention provides an emergency situation detection system using environmental information of an elevator occupant who senses a noise occurrence or an impact generated after a passenger is boarded in an elevator, And a method therefor.

Further, in the present invention, when the occurrence of an abnormal situation is recognized primarily through the noise and impact generated in the elevator, it is possible to verify whether or not an abnormality recognized primarily by using the image photographed through the photographing unit provided in the elevator is generated And an emergency situation detection system using the environment information of an elevator occupant and a method thereof.

An emergency situation detection system using environmental information of an elevator occupant according to an embodiment of the present invention includes a plurality of photographing units 100 provided in an elevator and photographing the inside of an elevator and outputting photographed image signals; An acoustic sensing unit 200 provided in the elevator for receiving and outputting sound generated in the elevator; An impact sensing unit 300 provided in the elevator and sensing and outputting an impact state of the elevator; A sound intensity analyzer 420 for measuring a sound intensity of the sound signal input from the sound sensing unit 200 and generating and outputting a warning event if the sound intensity is greater than a reference sound intensity level, An impact analyzer 430 for comparing the derived impact quantity with a reference impact quantity and generating and outputting a warning event when the input shock quantity is large; and a warning event detector 430 for detecting a warning event from the sound quantity analyzer 420 and the impact analyzer 430 And an alarm generating unit 440 for recognizing an emergency situation when an input signal is inputted and generating and sending an alarm signal.

As an embodiment related to the present invention, the controller 400 can grasp the motion state of the elevator occupant from the video signals of the plurality of photographing units 100 to derive the magnitude of the motion, The warning generating unit 400 of the controller 400 receives an alarm event from the sound analysis unit 420 and the impact analysis unit 430 and outputs a warning event The control unit 410 checks whether the warning event is input from the image analysis unit 410 and inputs an alarm signal including an image confirmation guidance message when it is recognized as an emergency situation.

Further, as an embodiment related to the present invention, the image analyzing unit 410 may detect the face, the half-body, and the body information of the passenger using the learned feature data.

In an embodiment related to the present invention, the image analyzing unit 410 calculates the pixel difference of two frames in the image analysis, determines whether a passenger is present in the elevator through the pixel change, And determines the motion state of the occupant through the magnitude of the motion vector.

The method of detecting an emergency situation using environment information of an elevator occupant according to an embodiment of the present invention is characterized in that the controller 400 includes an imaging unit 100, an acoustical sensing unit 200, and an impact sensing unit 300 provided in an elevator Receiving environmental information in the elevator through the network; The controller 400 analyzes the image signal from the collected environment information to derive the size of the motion, and analyzes whether the derived motion size is larger than the reference motion size; The controller 400 analyzes the sound signal from the collected environment information to derive the size of the sound and analyzes whether the size of the derived sound is larger than the reference sound size; And the controller 400 may derive the amount of the impulse from the collected environmental condition, compare the amount of the impulse with the reference impulse amount, and analyze whether the derived amount of impulse is larger than the reference amount of impulse.

As an embodiment related to the present invention, when the controller 400 determines that the magnitude of the quantity of force and the magnitude of the magnitude of the magnitude are larger than the magnitude of the reference magnitude and the magnitude of the reference magnitude, And a step of recognizing the occurrence of the failure.

As an embodiment related to the present invention, if the magnitude of the amount of force and the magnitude of the impact amount are greater than the reference magnitude as a result of the environmental information analysis, the controller 400 determines whether the magnitude of the motion is larger than the reference magnitude, The step of recognizing that an emergency situation has occurred in the elevator can be further included.

The present invention recognizes the occurrence of an abnormal situation primarily by detecting a noise or an impact generated after a passenger boarding the elevator, and notifies the emergency situation that the emergency situation can be notified even when the victim can not notify the dangerous situation And to protect passengers from serious crimes.

Further, in the present invention, when the occurrence of an abnormal situation is recognized primarily through the noise and impact generated in the elevator, it is possible to verify whether or not an abnormality recognized primarily by using the image photographed through the photographing unit provided in the elevator is generated Thus, it is possible to improve the reliability of the emergency situation detection system by preventing the emergency situation from being recognized due to the noise and shock caused by the child's play or the behavior of the passenger.

1 is a view for explaining a configuration of an emergency situation detection system using environmental information of an elevator occupant according to the present invention.
FIG. 2 is a diagram for explaining a feature learning process using AdaBoost in the image analysis unit of FIG. 1. FIG.
FIG. 3 is a diagram for explaining a process for confirming whether a passenger is boarding in an elevator using block matching in the image analysis unit of FIG. 1. FIG.
4 is a flowchart illustrating an operation method of an emergency situation detection system using environmental information of an elevator occupant according to an embodiment of the present invention.
5 is a flowchart illustrating an operation method of an emergency situation detection system using environmental information of an elevator occupant according to another embodiment of the present invention.

It is noted that the technical terms used in the present invention are used only to describe specific embodiments and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be construed in a sense generally understood by a person having ordinary skill in the art to which the present invention belongs, unless otherwise defined in the present invention, Should not be construed to mean, or be interpreted in an excessively reduced sense. In addition, when a technical term used in the present invention is an erroneous technical term that does not accurately express the concept of the present invention, it should be understood that technical terms can be understood by those skilled in the art. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.

Furthermore, the singular expressions used in the present invention include plural expressions unless the context clearly dictates otherwise. In the present invention, terms such as "comprising" or "comprising" and the like should not be construed as encompassing various elements or various steps of the invention, Or may further include additional components or steps.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted.

1 is a view for explaining a configuration of an emergency situation detection system using environmental information of an elevator occupant according to the present invention. FIG. 2 is a diagram for explaining a feature learning process using AdaBoost in the image analysis unit of FIG. 1. FIG. FIG. 3 is a diagram for explaining a process for confirming whether a passenger is boarding in an elevator using block matching in the image analysis unit of FIG. 1. FIG.

1 to 3, an emergency situation detection system using environment information of an elevator passenger to which the present invention is applied includes a plurality of photographing units 100 (shown in FIG. 1) provided in an elevator and photographing an interior of the elevator, An acoustic sensing unit 200 provided in the elevator for receiving and outputting a sound signal generated in the elevator, an impact sensing unit 300 provided in the elevator for sensing and outputting an impact state of the elevator, (400), and a control system (500).

The controller 400 obtains the motion of the elevator occupant based on the video signals of the plurality of photographing units 100 to derive the magnitude of the motion. When the magnitude of the motion is greater than the reference motion magnitude, A sound intensity detector 420 for detecting a sound intensity of a sound signal input from the sound sensing unit 200 and generating and outputting a warning event if the sound intensity is greater than a reference sound intensity; A sound analysis unit 420 and an impact analysis unit 430. The impact analysis unit 430 generates a warning event and outputs a warning event if the calculated impact amount is large. An alarm generator 440 for recognizing the alarm event as an emergency situation and generating and sending an alarm signal when the alarm event is inputted from the alarm system 440, It comprises a communication unit 450 for.

The warning generating unit 400 of the controller 400 checks whether or not a warning event is input from the image analyzing unit 410 when a warning event is inputted from the sound analyzing unit 420 and the impact analyzing unit 430, An alarm signal including an image confirmation guidance message is generated and transmitted to the control system 500 through the communication unit 450. [

The image analysis unit 410 detects the face, the upper body, and the body information of the passenger using the learned feature data. More specifically, the image analysis unit 410 first obtains the image of the occupant according to the elevator environment, extracts the characteristic information of the occupant, increases the detection recognition rate for the occupant through learning of the detected characteristic, The face, the upper body, and the body information of the passenger are detected using the learned feature data.

Here, the characteristic data learning method uses the AdaBoost algorithm as shown in FIG. The AdaBoost algorithm combines WC (Weak Classifier) through learning to generate SC (Strong classifier) with high detection performance and performs learning by iterative calculation of WC. SC is a linear combination of WC Combining features with WC allows you to distinguish the type of occupant practically.

That is, the image analyzing unit 410 searches for the input range of the input image and separates the sub-image into a sub-image. When the separated sub-image becomes the input portion of the SC, After determining that Image is the passenger, set the area.

Also, the image analyzing unit 410 determines the change of the pixel using the block matching method, and determines the motion state of the passenger boarding the elevator. That is, as shown in FIG. 3, the image analyzing unit 410 calculates pixel differences of two frames in the image analysis, determines whether a passenger is present in the elevator through pixel change, extracts a motion vector from the captured image And determines the motion state of the occupant through the magnitude of the motion vector.

In more detail, the image analysis unit 410 uses a difference method and a motion vector to determine the degree of motion of the occupant. Here, the difference image is a method of determining a pixel change through an arbitrary threshold value by calculating a difference between pixels of two frames as described above.

Figure pat00001

As shown in Equation 1, D (x, y) is a difference image, T h is a threshold value, and? (X, y) is a pixel difference between x and y coordinates. That is, if the difference of the pixels is equal to or greater than the threshold value, it indicates that there is motion, otherwise it can be determined that there is no motion. In the case of the difference method, it is used to determine whether there is an occupant or not on the basis of the case where the occupant rides on the elevator

On the other hand, a motion vector is obtained by using a block matching method as shown in FIG. When the passenger is present inside the elevator, the motion state of the passenger can be determined through the magnitude of the motion vector. The block matching method assumes that all pixels in a block have the same motion and that the motion of the object is a parallel motion. Each block is independent and this method is robust to noise and low computational complexity and is useful for real-time processing. In general, the blocks are preferably 8x8 or 16x16. The smaller the size of the block, the more accurate the motion vector can be predicted, but the larger the amount of computation.

Figure pat00002

The block matching method determines a search position indicating a macroblock (MB), obtains a sum of absolute difference (SAD) thereof, and determines a direction having a smallest value as a motion vector. The method of determining the SAD value is as shown in Equation 2 above. R (i, j) is the pixel in the current frame MB and S (x + u, j + v) is the pixel in the reference frame. The range of i and j is -p ≤ u, v ≤ p ([- p, p]: search area), where N and M are block sizes. Therefore, the block with the smallest SAD (u, v) in the search area is determined as the best-matched block, and M (i, j) at this time is set as the motion vector.

An operation method of the emergency situation detection system using the environment information of the elevator occupant configured as described above will be described as follows.

( Example 1 _ Weight Size  And emergency situation recognition through the amount of impact)

4 is a flowchart illustrating an operation method of an emergency situation detection system using environmental information of an elevator occupant according to an embodiment of the present invention.

4, the method of operating the emergency situation sensing system using the environmental information of the elevator occupant can be performed by using only the signals input through the sound sensing unit 200 and the shock sensing unit 300 provided in the elevator, It is a way of judging whether or not it is.

4, the controller 400 receives environmental information in the elevator through the photographing unit 100, the sound sensing unit 200, and the impact sensing unit 300 provided in the elevator (S110).

Then, the controller 400 analyzes the video signal from the collected environment information to derive the size of the motion, analyzes whether the derived motion size is larger than the reference motion size (S120) (S130). The controller 400 derives the amount of impulse from the collected environment information, and calculates a reference impulse amount (hereinafter, referred to as " reference impulse amount " (S140) whether the derived impact amount is larger than the reference impact amount.

Here, the criteria of the quantitative analysis are as follows according to the data of the Korea Research Institute of Standards and Science.

As can be seen from Table 1, it is possible to compare and analyze the occupant performance in a general situation and the performance in an unusual situation. Typically, units of decibels (dB) are used to represent noise, vibration, and electricity. This is likely to indicate a change in sensitivity.

Noise criterion and size of decibel Decibel (dB) Typical situation condition 120 Aircraft take off, noisy factory A state almost unbearable 80-100 Yell
(1.5 meters away) Extremely noisy 40 to 50 Common speech
(1 meter away) Sounds good 20-25 Quiet whisper Very quiet <15 Sound of a person's internal organs Hardly heard 0 Listening dLT is a general limit Can not hear

The performance in the normal situation is based on the normal conversation in the elevator and the amount of communication during the conversation, based on the <Table>. Assuming that the sound of the passenger is a whisper and a general conversation, whispers are 20-25 decibels, and conversations within a meter are 40-50 decibels.

But it is different in an emergency situation. Unlike the general situation, screaming or shouting occurs, which varies in size. Usually, a shout at 1.5 meters away is 80 to 100 decibels. However, when the perpetrator stops the victim's mouth, the decibel analysis using the sound sensing unit 200, which is an acoustic sensor, is very ineffective. Usually, in this case, as mentioned above, the shock and vibration in the elevator and the internal noise are generated almost at the same time. The vibration and the impact amount are adjusted to an arbitrary threshold value at which the value of each axis changes.

As a result of analyzing the environment information collected by the controller 400, the magnitude of the quantity detected by the sound sensing unit 200 and the magnitude of the impound quantity sensed by the impact sensing unit 300 are stored in advance in the controller 400 (S150). If both of the two values are greater than the reference value, it is recognized as an emergency situation in the elevator (S160).

When the controller 400 recognizes that an emergency has occurred in the elevator, the controller 400 generates an alarm signal through the alarm generator 440 and sends the alarm signal to the control system 500 through the communication unit 450, So that they can respond promptly.

When the controller 400 transmits an alarm signal, a guide message may be transmitted so that the video signal input from the photographing unit 100 provided in the elevator can be checked together.

There is a limit in recognizing an emergency situation using only the sound sensing unit and the shock sensing unit which are acoustic sensors in the first embodiment. These limitations make it difficult for criminals to provide information and reduce credibility. The reliability problem in the emergency situation detection system is very important. For example, it is less reliable if the children who ride the elevator play inside or misunderstand that the environmental information generated by staggering the driver while singing loudly and hitting the inner wall of the elevator is called an emergency situation. When outputting an alarm signal to the control system 500 as in the first embodiment, a guidance message is transmitted so that the video signal inputted from the photographing unit 100 provided in the elevator can be checked together, The administrator checks the image to see if it is an emergency situation.

In addition, as in the second embodiment, the controller 400 receives and analyzes the image signal photographed by the photographing units 100 provided in the elevator through the image analyzing unit 410, .

( Example 2 _ Weight Size  And recognition of the first emergency situation through the impact amount, and recognition of the second emergency situation through the image size)

5 is a flowchart illustrating an operation method of an emergency situation detection system using environmental information of an elevator occupant according to another embodiment of the present invention.

As shown in FIG. 5, the controller 400 receives environment information in the elevator through the photographing unit 100, the sound sensing unit 200, and the impact sensing unit 300 provided in the elevator (S210).

The controller 400 analyzes the video signal from the collected environment information to derive the motion size, analyzes whether the derived motion size is larger than the reference motion size (S220), and the controller 400 analyzes the acquired environment (S230). The controller 400 derives the amount of impulse from the collected environmental information, and calculates a reference impulse amount &lt; RTI ID = 0.0 &gt; And analyzes whether the derived impact amount is larger than the reference impact amount (S240).

As a result of analyzing the environment information collected by the controller 400, the magnitude of the quantity detected by the sound sensing unit 200 and the magnitude of the impound quantity sensed by the impact sensing unit 300 are stored in advance in the controller 400 (S250) whether the magnitude of the reference force is larger than the reference magnitude and the reference magnitude.

As a result of the analysis, if the controller 400 determines that both of the values are greater than the reference value, the image analyzing unit 410 receives the image signal from the image capturing units 100 to derive the image size, (S260). If it is larger than the image size, it is recognized that an emergency situation has occurred in the elevator, and a warning signal is generated and transmitted to the control system 500 through the communication unit 450 (S270).

The detailed description of parts applied in the second embodiment in the same way as in the first embodiment will be omitted.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or essential characteristics thereof. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: photographing part 200: sound sensing part
300: shock detection unit 400: controller
410: Image analysis unit 420:
430: Impact analyzer 440: Alert generator
450: communication unit 500: control system

Claims (7)

A plurality of photographing units 100 provided in the elevator and photographing the inside of the elevator and outputting photographed image signals;
An acoustic sensing unit 200 provided in the elevator for receiving and outputting sound generated in the elevator;
An impact sensing unit 300 provided in the elevator and sensing and outputting an impact state of the elevator; And
A sound intensity analyzer 420 for measuring a sound intensity of the sound signal input from the sound sensing unit 200 and generating and outputting a warning event if the sound intensity is greater than a reference sound intensity; An impact analyzer 430 for comparing the derived impact quantity with a reference impact quantity and generating and outputting a warning event when the input shock quantity is large; A controller (400) comprising an alarm generating unit (440) for recognizing an emergency situation when an alarm event is input and generating and sending an alarm signal;
And an emergency situation detection system using environmental information of an elevator occupant.
The method according to claim 1,
The controller 400 determines the motion state of the elevator occupant based on the video signals of the plurality of photographing units 100 to derive the motion magnitude. If the motion magnitude is larger than the reference motion magnitude, Further comprising a portion (410)
The alarm generating unit 400 of the controller 400 checks whether a warning event is inputted from the image analyzing unit 410 when the alarm analyzing unit 420 and the impact analyzing unit 430 input a warning event When the emergency information is received, generates an alarm signal including an image confirmation informing message, recognizes the emergency situation, and transmits the alarm signal to the emergency situation detecting system using the environment information of the elevator occupant.
The method according to claim 1,
Wherein the image analyzing unit (410) detects the face, the half body, and the body information of the passenger using the learned feature data.
The method according to claim 1,
The image analyzing unit 410 calculates pixel differences of two frames in the image analysis, determines whether a passenger is present in the elevator through a pixel change, extracts a motion vector from the captured image, And determining the state of motion of the occupant through the emergency information of the occupant.
The controller 400 receives environmental information in the elevator through the photographing unit 100, the sound sensing unit 200, and the impact sensing unit 300 provided in the elevator;
Analyzing the video signal from the collected environment information to derive a magnitude of motion and analyzing whether the magnitude of the derived motion is larger than a reference motion magnitude;
Analyzing the sound signal from the collected environment information to derive the size of the sound and analyzing whether the size of the derived sound is larger than the reference sound size; And
The controller 400 derives an amount of impact from the collected environmental information, compares the amount of impact with a reference amount of impact, and analyzes whether the amount of impact is greater than a reference amount of impact
And an emergency situation detection method using environmental information of an elevator occupant.
6. The method of claim 5,
The controller 400 analyzes whether the magnitude of the quantity of the power and the magnitude of the magnitude of the magnitude are larger than the magnitude of the reference magnitude and the magnitude of the reference magnitude as a result of the determination of the magnitude of the magnitude and the magnitude of the reference magnitude, Further comprising an elevator occupant's environment information.
6. The method of claim 5,
The controller 400 determines whether the size of the movement is larger than the reference size, if the size of the content and the magnitude of the amount of impact are larger than the reference size as a result of the environment information analysis. If the size of the movement is larger than the reference size, Further comprising the step of recognizing that an emergency situation has occurred in the elevator.

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107911663A (en) * 2017-11-27 2018-04-13 江苏理工学院 A kind of elevator passenger hazardous act intelligent recognition early warning system based on Computer Vision Detection
EP3489183A1 (en) * 2017-11-22 2019-05-29 Otis Elevator Company Sensing and notifying device for elevator emergencies
CN115829655A (en) * 2022-12-30 2023-03-21 广州掌购网络科技有限公司 Advertisement effect intelligent analysis management system and method based on big data analysis

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3489183A1 (en) * 2017-11-22 2019-05-29 Otis Elevator Company Sensing and notifying device for elevator emergencies
CN109911724A (en) * 2017-11-22 2019-06-21 奥的斯电梯公司 Sensing and notice device for elevator emergency situation
US11643302B2 (en) 2017-11-22 2023-05-09 Otis Elevator Company Sensing and notifying device for elevator emergencies
CN107911663A (en) * 2017-11-27 2018-04-13 江苏理工学院 A kind of elevator passenger hazardous act intelligent recognition early warning system based on Computer Vision Detection
CN115829655A (en) * 2022-12-30 2023-03-21 广州掌购网络科技有限公司 Advertisement effect intelligent analysis management system and method based on big data analysis
CN115829655B (en) * 2022-12-30 2023-09-22 广州掌购网络科技有限公司 Advertisement effect intelligent analysis management system and method based on big data analysis

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