CN112623920A - Intelligent monitoring management system for escalator - Google Patents
Intelligent monitoring management system for escalator Download PDFInfo
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- CN112623920A CN112623920A CN202011505829.9A CN202011505829A CN112623920A CN 112623920 A CN112623920 A CN 112623920A CN 202011505829 A CN202011505829 A CN 202011505829A CN 112623920 A CN112623920 A CN 112623920A
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- 206010000117 Abnormal behaviour Diseases 0.000 claims description 13
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- 238000013527 convolutional neural network Methods 0.000 claims description 6
- 238000010191 image analysis Methods 0.000 claims description 6
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B27/00—Indicating operating conditions of escalators or moving walkways
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
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Abstract
本发明公开了一种自动扶梯用智能监控管理系统，包括：多个固定式摄像设备、多个红外传感装置、移动式视觉传感器、拍照装置、无线通信设备和中央处理器。本发明通过无线通信设备将自动扶梯智能监控系统联系起来，通过设置在自动扶梯附近的固定式摄像设备、移动式视觉传感器、拍照装置对自动扶梯的环境参数和人员不安全行为进行实时监控，从而实现了监控系统联动管理，提高了系统的智能化水平；通过实时采集自动扶梯区域内的环境信息数据和实时识别人员的不安全行为，确定自动扶梯的预警级别，当自动扶梯的预警级别为异常级别时，报警模块、报警模块和不安全状态预警模块会发出报警信号，从而实现自动扶梯异常运行的准确预警，能够有效预防自动扶梯的安全事故。
The invention discloses an intelligent monitoring and management system for escalators, comprising: a plurality of fixed camera devices, a plurality of infrared sensing devices, a mobile visual sensor, a photographing device, a wireless communication device and a central processing unit. The invention connects the intelligent monitoring system of the escalator through wireless communication equipment, and monitors the environmental parameters of the escalator and the unsafe behavior of personnel in real time through the fixed camera equipment, mobile visual sensor and photographing device arranged near the escalator, thereby The linkage management of the monitoring system is realized, and the intelligent level of the system is improved; by collecting the environmental information data in the escalator area in real time and identifying the unsafe behavior of personnel in real time, the early warning level of the escalator is determined. When the early warning level of the escalator is abnormal When the level is higher, the alarm module, the alarm module and the unsafe state pre-warning module will issue an alarm signal, so as to realize the accurate early warning of the abnormal operation of the escalator and effectively prevent the safety accident of the escalator.
Description
Technical Field
The invention belongs to the technical field of escalator safety monitoring, and particularly relates to an intelligent monitoring management system for an escalator.
Background
In recent years, the number of safety accidents of escalators is increasing, and the safe operation of escalators is closely related to the life and property safety of people and is highly valued by safety supervision departments in all circles of society all the time. Many escalators are operated all-weather for 24 hours, and carried passenger and article weight are difficult to the restriction, and escalator's component trouble can lead to the operation unusual, and because personnel fall down etc. artificial factors lead to the incident also can take place at any time, consequently, need establish one set of intelligent monitoring system, the all kinds of environmental information data of real time monitoring escalator to guarantee escalator's normal operating.
In order to reduce the safety accidents of the escalator, a plurality of monitoring systems such as video monitoring, load monitoring and the like are configured in a plurality of units. However, the existing monitoring systems cannot be linked and are independent of each other, the informatization and intellectualization levels of the systems are low, the identification and early warning of personnel behaviors are not accurate enough, and the safety accidents of the escalator cannot be prevented well.
In conclusion, the escalator safety monitoring system in the prior art has the problems of low overall intelligent level and inaccurate identification and early warning of unsafe behaviors of people.
Disclosure of Invention
The embodiment of the invention provides an intelligent monitoring and management system for an escalator, which is used for solving the problems that the overall intelligentization level is low, and the identification and early warning of unsafe behaviors of people are not accurate enough in the prior art.
The embodiment of the invention provides an intelligent monitoring and management system for an escalator, which comprises: the system comprises a plurality of fixed camera equipment (1), a plurality of infrared sensing devices (2), a mobile visual sensor (3), a photographing device (4), wireless communication equipment (5) and a central processing unit (6), wherein each fixed camera equipment (1) is respectively and electrically connected with the infrared sensing devices (2) in the corresponding area, the fixed camera equipment (1) is electrically connected with the mobile visual sensor (3), and the fixed camera equipment (1), the mobile visual sensor (3) and the photographing device (4) are electrically connected with the central processing unit (6) through the wireless communication equipment (5);
a plurality of the stationary image pickup apparatuses (1) are respectively arranged on a ceiling near an escalator, and the stationary image pickup apparatuses (1) include: the system comprises a monitoring sensing module (11), a moving object detection module (12), a moving object tracking module (13), a falling state detection module (14) and an alarm module (15);
the monitoring sensing module (11) is used for monitoring various types of environmental information data around the escalator, comparing the acquired various types of environmental information data with the safety set values of the corresponding environmental information data respectively, and determining whether the corresponding types of environmental information data are in abnormal states; the moving object detection module (12) is used for processing the problems of slow moving of a moving object on the escalator, reduction of delay of background sudden change and detection of the moving object on the escalator; the falling state detection module (14) is used for processing the problems of segmentation, adhesion and missed detection of the moving target on the escalator, accurately and stably tracking the target on the escalator, and improving the reliability of extracting the target characteristics; the alarm module (15) is used for sending out an early warning signal to personnel in a corresponding area when the environmental information safety data of the area where the monitoring sensing module (11) is located is abnormal;
the plurality of infrared sensing devices (2) are respectively arranged on the walls around the escalator, and the infrared sensing devices (2) are used for collecting position signals of personnel and articles;
portable vision sensor (3) are laid respectively on the ceiling directly over the automatic escalator, just portable vision sensor (3) include: the system comprises an image information extraction module (31), a human body abnormal state detection module (32), an object abnormal state detection module (33) and an early warning reminding module (34); the image information extraction module (31) is used for removing the shadow of the foreground area generated along with the movement of the target; the human body abnormal state detection module (32) is used for extracting the abnormal behavior characteristics of the personnel, so that the recognition rate of real-time online detection of the abnormal behavior of the personnel is improved; the object abnormal state detection module (33) is used for extracting the abnormal behavior characteristics of the articles, so that the identification rate of real-time online detection of the abnormal behaviors of the articles is improved; the early warning reminding module (34) is used for judging whether the escalator is in an abnormal state according to the environmental information safety data in the escalator area and sending an early warning reminding signal to personnel;
the photographing device (4) is arranged on the side wall of the inner side of the escalator and used for acquiring images of the environment where the personnel in the escalator area are located;
the wireless communication equipment (5) is used for communication among the fixed camera equipment (1), the movable visual sensor (3), the photographing device (4) and the central processing unit (6).
The central processor (6) comprises: a falling sample feature library construction module (61), an image off-line analysis module (62), a state feature analysis matching module (63), a human body density analysis module (64), an escalator motion state control module (65) and an unsafe state early warning module (66);
the fall sample feature library construction module (61) comprises: a behavior state analysis unit (611), a feature extraction unit (612) and a behavior feature construction unit (613); the behavior state analysis unit (611) is used for processing a plurality of images which are continuous in time and realizing rapid and efficient behavior analysis by mining the incidence relation among the images; the feature extraction unit (612) is used for extracting key frames in the video in real time, and can effectively extract image features and finish classification identification; the behavior feature construction unit (613) is used for establishing a standard library for normal and unsafe behaviors of common personnel in the escalator environment and comparing the standard library with the behaviors of the personnel appearing in a real-time video;
the image offline analysis module (62) comprises: an offline video analysis unit (621), an image analysis unit (622), and a feature extraction unit (623); the offline video analysis unit (621) is used for processing a plurality of images simultaneously through a convolutional neural network with a memory unit to complete the rapid and efficient analysis of mass behavior data; the image analysis unit (622) is used for realizing background modeling through a statistical map model, fusing the model with a convolutional neural network, realizing event detection under a background pruning condition and effectively improving the event detection rate and the event recognition rate; the feature extraction unit (623) is used for extracting key frames in an offline video, and can effectively extract image features and finish classification identification;
the state characteristic analysis matching module (63) is used for judging whether the escalator normally operates or not by comparing the state characteristic analysis matching module with the behavior characteristics extracted from the real-time video or the historical video, and sending an electric signal to the unsafe state early warning module (66) when unsafe behaviors occur; the crowd crowding degree analysis model (64) is used for calculating the personnel density of the escalator area so as to judge whether the escalator normally runs or not, and when the personnel density exceeds a normal range, an electric signal is sent to the unsafe state early warning module (66);
the escalator motion state control module (65) comprises an intelligent control unit (651) and an escalator emergency brake unit (652); the intelligent control unit (651) is used for controlling the operation of the escalator; the escalator emergency braking unit (652) is used for braking in an emergency state and preventing personnel from being injured when the escalator is in abnormal operation;
the unsafe state early warning module (66) comprises an alarm voice prompt unit (661), an electronic screen early warning unit (662) and a terminal early warning unit (663); the alarm voice prompt unit (661) is used for sending out a voice early warning signal; the electronic screen early warning unit (662) is used for displaying the environmental information data of the personnel in the escalator area in real time and determining the early warning level of the corresponding environmental data type; and the terminal early warning unit (663) is used for judging the early warning level of the corresponding environment data type according to the environment data information of the personnel in the escalator region and sending out corresponding early warning information according to the corresponding early warning level.
Preferably, the mobile vision sensor (3) is arranged in a shock absorption protection bracket, and a flash lamp, a motor and an infrared receiver are arranged on the shock absorption protection bracket.
Preferably, the monitoring sensing module (11) comprises: a noise sensor (111), an oil content monitor (112) and a speed sensor (113).
Preferably, the early warning level includes: the escalator emergency brake unit (652) comprises: a power transmission system and a motor system.
Preferably, the early warning level includes: abnormal and normal.
Compared with the prior art, the invention has the beneficial effects that:
the escalator intelligent monitoring system is connected through the wireless communication equipment, and the fixed camera equipment, the movable visual sensor and the photographing device which are arranged near the escalator are used for monitoring the environmental parameters and unsafe behaviors of people of the escalator in real time, so that the linkage management of the monitoring system is realized, and the intelligent level of the system is improved; the early warning level of the escalator is determined by collecting environmental information data in the escalator area in real time and identifying unsafe behaviors of people in real time, and when the early warning level of the escalator is an abnormal level, the alarm module and the unsafe state early warning module can send out alarm signals, so that the escalator can accurately early warn abnormal operation, and safety accidents of the escalator can be effectively prevented.
Drawings
Fig. 1 is an overall schematic block diagram of an intelligent monitoring and management system for an escalator according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a stationary image capturing apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a mobile vision sensor according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a CPU according to an embodiment of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent monitoring and management system for an escalator provided in an embodiment of the present invention includes: the system comprises a plurality of fixed camera equipment (1), a plurality of infrared sensing devices (2), a mobile visual sensor (3), a photographing device (4), wireless communication equipment (5) and a central processing unit (6), wherein each fixed camera equipment (1) is respectively and electrically connected with the infrared sensing devices (2) in the corresponding area, the fixed camera equipment (1) is electrically connected with the mobile visual sensor (3), and the fixed camera equipment (1), the mobile visual sensor (3) and the photographing device (4) are electrically connected with the central processing unit (6) through the wireless communication equipment (5);
the escalator intelligent monitoring system is connected through the wireless communication equipment, and the fixed camera equipment 1, the movable visual sensor 3 and the photographing device 4 which are arranged near the escalator are used for monitoring the environmental parameters of the escalator and unsafe behaviors of people in real time, so that the linkage management of the monitoring system is realized, and the intelligent level of the system is improved.
Referring to fig. 2, a plurality of the stationary image pickup apparatuses (1) in the embodiment of the present invention are respectively arranged on a ceiling near an escalator, and the stationary image pickup apparatus (1) includes: the system comprises a monitoring sensing module (11), a moving object detection module (12), a moving object tracking module (13), a falling state detection module (14) and an alarm module (15).
It should be noted that the monitoring and sensing module (11) includes: a noise sensor (111), an oil content monitor (112) and a speed sensor (113). The mobile visual sensor (3) is arranged in the shock absorption protection support, and a flash lamp, a motor and an infrared receiver are arranged on the shock absorption protection support.
The specific functions of the modules in the stationary image pickup apparatus 1 are described below:
the monitoring sensing module (11) is used for monitoring various types of environmental information data around the escalator, comparing the acquired various types of environmental information data with the safety set values of the corresponding environmental information data respectively, and determining whether the corresponding types of environmental information data are in abnormal states; the moving object detection module (12) is used for processing the problems of slow moving of a moving object on the escalator, reduction of delay of background sudden change and detection of the moving object on the escalator; the falling state detection module (14) is used for processing the problems of segmentation, adhesion and missed detection of the moving target on the escalator, accurately and stably tracking the target on the escalator, and improving the reliability of extracting the target characteristics; the alarm module (15) is used for sending out an early warning signal to personnel in a corresponding area when the environmental information safety data of the area where the monitoring sensing module (11) is located is abnormal;
it should be noted that the early warning levels include: abnormal and normal.
According to the invention, the early warning level of the escalator is determined by monitoring the environmental parameters and the unsafe behaviors of people in the escalator area in real time, and when the early warning level of the escalator is an abnormal level, the alarm module and the unsafe state early warning module can send out alarm signals, so that the accurate early warning of the abnormal operation of the elevator is realized, and the safety accidents of the escalator can be effectively prevented.
The plurality of infrared sensing devices (2) are respectively arranged on the walls around the escalator, and the infrared sensing devices (2) are used for collecting position signals of personnel and articles;
referring to fig. 3, the mobile visual sensors (3) in the embodiment of the present invention are respectively disposed on the ceiling right above the escalator, and the mobile visual sensors (3) include: the system comprises an image information extraction module (31), a human body abnormal state detection module (32), an object abnormal state detection module (33) and an early warning reminding module (34); the image information extraction module (31) is used for removing the shadow of the foreground area generated along with the movement of the target; the human body abnormal state detection module (32) is used for extracting the abnormal behavior characteristics of the personnel, so that the recognition rate of real-time online detection of the abnormal behavior of the personnel is improved; the object abnormal state detection module (33) is used for extracting the abnormal behavior characteristics of the articles, so that the identification rate of real-time online detection of the abnormal behaviors of the articles is improved; and the early warning reminding module (34) is used for sending an early warning reminding signal to personnel when judging that the escalator is in an abnormal state according to the environmental information safety data in the escalator area.
The mobile vision sensor (3) is arranged in a shock absorption protection bracket, and a flash lamp, a motor and an infrared receiver are arranged on the shock absorption protection bracket.
According to the invention, the movable visual sensor (3) arranged on the ceiling right above the escalator can effectively remove shadows generated by the movement of a foreground region along with a target, can extract abnormal behavior characteristics of personnel, classifies the extracted fall characteristics by using a support vector machine, trains a classifier, and displays the recognition rate of online monitoring of the personnel and articles in real time, so that the effective recognition and accurate early warning of unsafe behaviors of the personnel are realized, and the escalator is convenient and practical.
The photographing device (4) is arranged on the side wall of the inner side of the escalator and used for acquiring images of the environment where the personnel in the escalator area are located;
the wireless communication equipment (5) is used for communication among the fixed camera equipment (1), the movable visual sensor (3), the photographing device (4) and the central processing unit (6).
Referring to fig. 4, the cpu (6) includes: a falling sample feature library construction module (61), an image off-line analysis module (62), a state feature analysis matching module (63), a human body density analysis module (64), an escalator motion state control module (65) and an unsafe state early warning module (66);
the specific functions of the modules in the central processing unit (6) are described as follows:
the fall sample feature library construction module (61) comprises: a behavior state analysis unit (611), a feature extraction unit (612) and a behavior feature construction unit (613); the behavior state analysis unit (611) is used for processing a plurality of images which are continuous in time and realizing rapid and efficient behavior analysis by mining the incidence relation among the images; the feature extraction unit (612) is used for extracting key frames in the video in real time, and can effectively extract image features and finish classification identification; the behavior feature construction unit (613) is used for establishing a standard library for normal and unsafe behaviors of common personnel in the escalator environment and comparing the standard library with the behaviors of the personnel appearing in a real-time video;
the image offline analysis module (62) comprises: an offline video analysis unit (621), an image analysis unit (622), and a feature extraction unit (623); the offline video analysis unit (621) is used for processing a plurality of images simultaneously through a convolutional neural network with a memory unit to complete the rapid and efficient analysis of mass behavior data; the image analysis unit (622) is used for realizing background modeling through a statistical map model, fusing the model with a convolutional neural network, realizing event detection under a background pruning condition and effectively improving the event detection rate and the event recognition rate; the feature extraction unit (623) is used for extracting key frames in an offline video, and can effectively extract image features and finish classification identification;
the state characteristic analysis matching module (63) is used for judging whether the escalator normally operates or not by comparing the state characteristic analysis matching module with the behavior characteristics extracted from the real-time video or the historical video, and sending an electric signal to the unsafe state early warning module (66) when unsafe behaviors occur; the crowd crowding degree analysis model (64) is used for calculating the personnel density of the escalator area so as to judge whether the escalator normally runs or not, and when the personnel density exceeds a normal range, an electric signal is sent to the unsafe state early warning module (66);
the escalator motion state control module (65) comprises an intelligent control unit (651) and an escalator emergency brake unit (652); the intelligent control unit (651) is used for controlling the operation of the escalator; the escalator emergency braking unit (652) is used for braking in an emergency state and preventing personnel from being injured when the escalator is in abnormal operation;
the unsafe state early warning module (66) comprises an alarm voice prompt unit (661), an electronic screen early warning unit (662) and a terminal early warning unit (663); the alarm voice prompt unit (661) is used for sending out a voice early warning signal; the electronic screen early warning unit (662) is used for displaying the environmental information data of the personnel in the escalator area in real time and determining the early warning level of the corresponding environmental data type; and the terminal early warning unit (663) is used for judging the early warning level of the corresponding environment data type according to the environment data information of the personnel in the escalator region and sending out corresponding early warning information according to the corresponding early warning level.
The invention collects the environmental information data of the personnel and the articles entering the escalator area through the computer vision technology and the radio frequency technology, can monitor various environmental information data of the escalator, can display the identification rate of the online monitoring of the personnel in real time, improves the accuracy rate of the identification of unsafe behaviors of the personnel, and carries out real-time monitoring and early warning on various types of environmental information data related to the escalator, the corresponding early warning level, the unsafe behaviors of the personnel, the abnormal falling of the articles and the abnormal operation of the escalator through visibility, thereby improving the monitoring accuracy rate and realizing the rapid, intelligent and linkage management of an escalator monitoring system.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (5)
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| CN202011505829.9A CN112623920A (en) | 2020-12-18 | 2020-12-18 | Intelligent monitoring management system for escalator |
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| CN202011505829.9A CN112623920A (en) | 2020-12-18 | 2020-12-18 | Intelligent monitoring management system for escalator |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116812725A (en) * | 2023-07-27 | 2023-09-29 | 上海爱登堡电梯集团股份有限公司 | A smart camera-based escalator remote control device and its control method |
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2020
- 2020-12-18 CN CN202011505829.9A patent/CN112623920A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116812725A (en) * | 2023-07-27 | 2023-09-29 | 上海爱登堡电梯集团股份有限公司 | A smart camera-based escalator remote control device and its control method |
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