Elevator safety monitoring system and method based on video intelligent analysis

Through the elevator safety monitoring system based on video intelligent analysis, AI technology is used to monitor the elevator internal environment in real time, identify and respond to safety threats, the shortcomings of the existing technology in real time and intelligence are solved, and the comprehensive monitoring of the elevator safety status is achieved. and preventive maintenance, reducing accidents and failures.

CN119117849APending Publication Date: 2024-12-13HANGZHOU RUIHE IOT TECH CO LTD +2
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Patent Information

Application Number
CN202411226623.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-03
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

The existing elevator safety monitoring system has limitations in real-time, accuracy and intelligence, and it is difficult to effectively identify and respond to complex safety threats, such as improper behaviors such as electric vehicles entering the elevator and smoking in the elevator.

Method used

Using an elevator safety monitoring system based on intelligent video analysis, the AI ​​monitoring device analyzes the video data in the elevator in real time, realizing the opening and closing door detection, floor identification, running direction monitoring, number of people riding, electric vehicle detection, firework detection, smoking detection, and blocking Door, door alarm and face live recognition, combined with data recording module and abnormal event alarm module, supports remote monitoring and system upgrade.

Benefits of technology

It realizes comprehensive, accurate and real-time monitoring of the safety status of the elevator, promptly detects abnormal behaviors and potential hazards, improves response efficiency, reduces accidents and failures, supports preventive maintenance, reduces maintenance costs, and improves the use of elevators. efficiency.

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Abstract

An elevator safety monitoring system based on video intelligent analysis comprises an AI monitoring device used for analyzing video data in an elevator in real time to achieve intelligent detection, and the detection functions comprise door opening and closing detection, floor recognition, running direction monitoring, elevator passenger counting, electric vehicle detection, smoke and fire detection, smoking detection, door blocking, door pushing alarm and face living body recognition; the data recording module is used for recording operation data and safety events of the elevator, and the operation data comprises operation times, duration, door opening and closing times and operation floor number data of the elevator; and the abnormal event alarm module is used for giving an alarm and recording the event when the safety event is detected. The invention further provides an elevator safety monitoring method based on video intelligent analysis. The intelligent level of elevator safety monitoring is improved, and elevator faults and accidents are reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of elevator safety monitoring, and in particular to an elevator safety monitoring system and method combining video intelligent analysis technology. Background Art

[0002] With the acceleration of urbanization, high-rise buildings have become the norm in urban landscapes. As an indispensable vertical transportation tool in these buildings, the safe operation of elevators is directly related to the life and property safety of passengers. However, the existing elevator safety monitoring systems mostly rely on hardware sensors and simple logical judgments. These systems have obvious limitations in real-time, accuracy and intelligence.

[0003] Traditional monitoring systems usually use contact sensors to detect the operating status of elevators, such as by measuring the speed, acceleration, load and other physical quantities of the elevator to determine whether the elevator is faulty. Although these methods can reflect the operating status of the elevator to a certain extent, they often lack an intuitive understanding of the internal environment of the elevator and are difficult to identify and respond to complex security threats in a timely manner, such as improper behaviors such as electric vehicles entering the elevator and smoking in the elevator. Summary of the invention

[0004] In order to overcome the shortcomings of the existing technology, the present invention provides an elevator safety monitoring system and method based on video intelligent analysis to improve the intelligence level of elevator safety monitoring and reduce the occurrence of elevator failures and accidents.

[0005] The technical solution adopted by the present invention to solve the technical problem is:

[0006] An elevator safety monitoring system based on video intelligent analysis, comprising:

[0007] AI monitoring device, used to analyze video data in the elevator in real time to realize intelligent detection. The detection functions include door opening and closing detection, floor recognition, running direction monitoring, passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition;

[0008] A data recording module is used to record the operation data and safety events of the elevator, wherein the operation data includes the number of elevator operations, duration, number of door openings and closings, and number of floors operated;

[0009] The abnormal event alarm module is used to issue an alarm and record the event when a security event is detected.

[0010] Furthermore, the system also includes:

[0011] Remote monitoring and upgrade module, used to remotely view elevator status and perform system upgrades.

[0012] An elevator safety monitoring method based on video intelligent analysis comprises the following steps:

[0013] Step 1: collect audio and video data inside and outside the elevator in real time;

[0014] Step 2: Get data and enter elevator status detection;

[0015] Step 3: record the operation data, including the number of elevator operations, duration, number of door openings and closings, and number of floors operated;

[0016] Step 4, abnormal vibration detection, detects that there is no abnormal vibration and the system is running normally. If there is abnormal vibration, a safety event record is performed; according to the safety event, the corresponding alarm information is output;

[0017] Step 5: trigger different safety responses according to the alarm information, including elevator stopping, sound and light alarm activation, remote upgrade triggering and communication module activation.

[0018] In step 2, the AI ​​monitoring device realizes door opening and closing detection, floor recognition, running direction monitoring, elevator passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition.

[0019] The technical concept of the present invention is: With the development of artificial intelligence technology, especially the progress of computer vision technology in the field of video analysis, a new idea is provided for elevator safety monitoring. The application of AI technology enables the system to monitor the internal environment of the elevator in real time through video data, automatically identify and respond to various security threats, thereby improving the intelligence level of monitoring and response efficiency.

[0020] The present invention aims to develop an elevator safety monitoring system and method based on video intelligent analysis in combination with the latest AI technology, so as to overcome the shortcomings of the existing technology and realize comprehensive, accurate and real-time monitoring of the elevator safety status.

[0021] The beneficial effects of the present invention are mainly manifested in:

[0022] 1. Through real-time video monitoring and intelligent analysis, the system can promptly detect abnormal behaviors and potential dangers in the elevator, such as electric vehicle entry, fireworks, smoking, etc., so as to issue an alarm in advance and avoid accidents.

[0023] 2. By using AI algorithms to analyze elevator operation data, the system can assess the risk level of elevator operation and take corresponding preventive measures.

[0024] 3. Intelligent analysis can distinguish between real security threats and false alarms, such as distinguishing normal elevator behavior from potential improper behavior, reducing unnecessary intervention.

[0025] 4. The system can monitor the elevator status in real time, including the direction of operation, current floor, number of passengers, etc. Once an abnormality is detected, it will respond immediately to improve the efficiency of handling emergency situations.

[0026] 5. The integrated face liveness recognition function can be used for operation management to ensure that only authorized personnel can perform elevator maintenance and repair work.

[0027] 6. The system records the elevator's running times, duration, door opening and closing times, and other data, providing detailed records for elevator maintenance and fault diagnosis.

[0028] 7. Support remote upgrade of system software to facilitate timely update and maintenance to keep the system up to date.

[0029] 8. The system supports wired and 4G communications, ensuring stable operation in different environments and facilitating remote monitoring and management.

[0030] 9. Through intelligent analysis of elevator operation data, the system can predict potential maintenance needs, thereby achieving preventive maintenance and reducing downtime.

[0031] 10. Users can intuitively understand the elevator's operating status and safety information through the display screen, improving user experience.

[0032] 11. Although the initial investment may be high, in the long run, the intelligent monitoring system can reduce accidents and failures, reduce maintenance costs, and improve the efficiency of elevator use.

[0033] 12. The system design is flexible and can adapt to elevators of different types and different usage scenarios, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a control flow chart of elevator safety monitoring based on video intelligent analysis. DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Reference Figure 1 , an elevator safety monitoring system based on video intelligent analysis, comprising:

[0037] AI monitoring device, used to analyze video data in the elevator in real time to realize intelligent detection. The detection functions include door opening and closing detection, floor recognition, running direction monitoring, passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition;

[0038] A data recording module is used to record the operation data and safety events of the elevator, wherein the operation data includes the number of elevator operations, duration, number of door openings and closings, and number of floors operated;

[0039] Abnormal event alarm module, used to issue an alarm and record the event when a security event is detected;

[0040] Remote monitoring and upgrade module, used to remotely view elevator status and perform system upgrades.

[0041] An elevator safety monitoring method based on video intelligent analysis comprises the following steps:

[0042] Step 1: collect audio and video data inside and outside the elevator in real time;

[0043] Step 2: Obtain data to enter the elevator status detection. The AI ​​monitoring device realizes door opening and closing detection, floor recognition, running direction monitoring, elevator passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition;

[0044] Step 3: record the operation data, including the number of elevator operations, duration, number of door openings and closings, and number of floors operated;

[0045] Step 4, abnormal vibration detection, detects that there is no abnormal vibration and the system is running normally. If there is abnormal vibration, a safety event record is performed; according to the safety event, the corresponding alarm information is output;

[0046] Step 5: trigger different safety responses according to the alarm information, including elevator stopping, sound and light alarm activation, remote upgrade triggering and communication module activation.

[0047] The implementation scheme of this embodiment includes elevator equipment, AI cameras, video storage devices, video analysis systems and alarm systems, wherein the AI ​​camera is deployed inside the elevator to capture real-time images inside the elevator; the video storage device is used to store images captured by the camera; the video analysis system is connected to the video storage device, receives the images stored in the video storage device, and performs real-time analysis of the images through a pre-set intelligent analysis algorithm; when the alarm system receives an abnormal signal from the video analysis system, it immediately initiates emergency measures.

[0048] Intelligent analysis algorithms include door opening and closing status analysis, running direction analysis, abnormal number of people analysis, electric vehicle detection analysis, elevator operation data (including operating status, running time, door opening and closing times, abnormal step detection, overload, etc.) analysis, etc.

[0049] The alarm system determines the emergency measures to be initiated according to the level of the abnormal signal received, and the emergency measures include but are not limited to emergency stop of the elevator, lighting of the emergency light inside the elevator, activation of the emergency caller inside the elevator, activation of the communication module, etc.

[0050] The solution of this embodiment applies video intelligent analysis technology to elevator safety monitoring, which can not only monitor the operating status and abnormal conditions inside the elevator in real time, but also initiate emergency measures in the first time, greatly improving the safety of the elevator.

[0051] The contents described in the embodiments of this specification are merely enumerations of implementation forms of the inventive concept and are for illustrative purposes only. The protection scope of the present invention should not be considered to be limited to the specific forms described in this embodiment, and the protection scope of the present invention also extends to equivalent technical means that can be thought of by ordinary technicians in this field based on the inventive concept.

Claims

1. An elevator safety monitoring system based on video intelligent analysis, characterized in that: The system comprises: AI monitoring device, used to analyze video data in the elevator in real time to realize intelligent detection. The detection functions include door opening and closing detection, floor recognition, running direction monitoring, passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition; A data recording module is used to record the operation data and safety events of the elevator, wherein the operation data includes the number of elevator operations, duration, number of door openings and closings, and number of floors operated; The abnormal event alarm module is used to issue an alarm and record the event when a security event is detected.

2. An elevator safety monitoring system based on video intelligent analysis as claimed in claim 1, characterized in that: The system further comprises: Remote monitoring and upgrade module, used to remotely view elevator status and perform system upgrades.

3. A method for implementing the elevator safety monitoring system based on video intelligent analysis as claimed in claim 1, characterized in that: The method comprises the following steps: Step 1: collect audio and video data inside and outside the elevator in real time; Step 2: Get data and enter elevator status detection; Step 3: record the operation data, including the number of elevator operations, duration, number of door openings and closings, and number of floors operated; Step 4, abnormal vibration detection, detects that there is no abnormal vibration and the system is running normally. If there is abnormal vibration, a safety event record is performed; according to the safety event, the corresponding alarm information is output; Step 5: trigger different safety responses according to the alarm information, including elevator stopping, sound and light alarm activation, remote upgrade triggering and communication module activation.

4. The method according to claim 3, characterized in that In step 2, the AI ​​monitoring device realizes door opening and closing detection, floor recognition, running direction monitoring, elevator passenger counting, electric vehicle detection, fireworks detection, smoking detection, door blocking, door prying alarm and face liveness recognition.