Abstract: A monitoring system includes: an imaging sensor configured to sense a lighting device of the passenger conveyor to acquire image data; and a processing apparatus configured to process the image data, the processing apparatus being configured to include: a background acquisition module configured to acquire a background model based on sensed image data; a foreground detection module configured to compare image data sensed in real time with the background model to obtain a foreground object; and a working condition judgment module configured to perform data processing at least based on the foreground object to judge whether the lighting device is in a normal state. Then, a failure or an abnormal lighting state of the lighting device can be timely diagnosed so that maintenance is performed.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides a speed detection system of a passenger conveyor and a speed detection method thereof. In the speed detection system and the speed detection method of the present invention, an imaging sensor and/or a depth sensing sensor are/is used to sense at least one part of the passenger conveyor to acquire sequence frames, and the sequence frames are analyzed by a processing apparatus to obtain at least speed information about steps of the passenger conveyor.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides a monitoring system of a passenger conveyor and a monitoring method thereof. In the monitoring system and detection method of the present invention, a monitored object of the passenger conveyor is sensed by using an imaging sensor and/or a depth sensing sensor to acquire a data frame, and the data frame is analyzed by a processing apparatus to monitor whether the monitored object is in a normal state. The monitored object may include a landing plate, a step, a barrier used in a maintenance and repair working condition and/or a step speed, and the like.

Abstract: A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.

Abstract: The present invention provides a handrail entry monitoring system of a passenger conveyor and a monitoring method thereof, and belongs to the field of passenger conveyor technologies. In the handrail entry monitoring system and the monitoring method of the present invention, at least part of a handrail entry region of the passenger conveyor is sensed by using an imaging sensor and/or a depth sensing sensor, to acquire a data frame, and the data frame is analyzed to monitor whether a handrail entry of the operating passenger conveyor is in a normal state or an abnormal state. The monitoring system of the present invention and the monitoring method thereof can timely and effectively detect a danger that a foreign matter is about to be entrapped into the handrail entry, helping prevent foreign matters from being entrapped into the handrail entry, thereby improving safety of the passenger conveyor.

Abstract: The present invention relates to step roller monitoring and maintenance personnel monitoring of a passenger conveyor, and belongs to the field of passenger conveyor technologies. In the monitoring system and monitoring method of the present invention, an imaging sensor and/or a depth sensing sensor is used to sense the step roller/maintenance personnel of the passenger conveyor to acquire data frames, and the data frames are analyzed and processed to monitor whether the movement or position of the step roller/activity or position of the maintenance personnel is in a normal state.

Abstract: A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.

Abstract: A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides an engaging state detection system of a passenger conveyor and a detection method thereof. In the engaging state detection system and detection method of the present invention, a depth sensing sensor is used to sense at least an engaging portion between a step and a comb plate of the passenger conveyor to obtain depth maps, and the depth maps are analyzed by a processing apparatus to detect whether an engaging state between the step and the comb plate is a normal state. The detection of the engaging state includes detection on whether comb teeth of the comb plate are broken, whether engaging teeth of the step are broken, and/or whether a foreign matter exists on an engaging line.

Abstract: A monitoring system and a monitoring method for a passenger conveying device, and the passenger conveying device. The monitoring system comprises an imaging sensor and/or a depth sensing sensor for sensing a monitoring area of the passenger conveying device to acquire data frames; and a processing device for performing data processing on the data frames to monitor whether the monitoring area is abnormal, and configured to comprise: a background acquisition module for acquiring a background model based on data frames sensed when the monitoring area is in a normal state; a foreground detection module for comparing data frames sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module for extracting a corresponding foreground object markup feature from the foreground object; and a state judgment module for judging whether the foreground object belongs to an abnormal population.

Abstract: A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides a speed detection system of a passenger conveyor and a speed detection method thereof. In the speed detection system and the speed detection method of the present invention, an imaging sensor and/or a depth sensing sensor are/is used to sense at least one part of the passenger conveyor to acquire sequence frames, and the sequence frames are analyzed by a processing apparatus to obtain at least speed information about steps of the passenger conveyor.

Abstract: The present invention relates to step roller monitoring and maintenance personnel monitoring of a passenger conveyor, and belongs to the field of passenger conveyor technologies. In the monitoring system and monitoring method of the present invention, an imaging sensor and/or a depth sensing sensor is used to sense the step roller/maintenance personnel of the passenger conveyor to acquire data frames, and the data frames are analyzed and processed to monitor whether the movement or position of the step roller/activity or position of the maintenance personnel is in a normal state.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides a monitoring system of a passenger conveyor and a monitoring method thereof. In the monitoring system and detection method of the present invention, a monitored object of the passenger conveyor is sensed by using an imaging sensor and/or a depth sensing sensor to acquire a data frame, and the data frame is analyzed by a processing apparatus to monitor whether the monitored object is in a normal state. The monitored object may include a landing plate, a step, a barrier used in a maintenance and repair working condition and/or a step speed, and the like.

Abstract: A monitoring system and a monitoring method for a passenger conveying device, and the passenger conveying device. The monitoring system comprises an imaging sensor and/or a depth sensing sensor for sensing a monitoring area of the passenger conveying device to acquire data frames; and a processing device for performing data processing on the data frames to monitor whether the monitoring area is abnormal, and configured to comprise: a background acquisition module for acquiring a background model based on data frames sensed when the monitoring area is in a normal state; a foreground detection module for comparing data frames sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module for extracting a corresponding foreground object markup feature from the foreground object; and a state judgment module for judging whether the foreground object belongs to an abnormal population.

Abstract: A temperature monitoring system for a passenger transport apparatus includes a temperature detection apparatus; and a control apparatus. When the temperature of at least one of a plurality of components is lower than a working temperature range, the control apparatus sends out a notification message and/or enables a heating apparatus to heat the component; when the temperature of at least one of the plurality of components reaches an early warning temperature range, the control apparatus sends out a notification message and/or enables a heat dissipation apparatus to dissipate heat for the component; and when the temperature of at least one of the plurality of components continues to rise and exceeds the working temperature range, the control apparatus sends out a notification message and/or enables the passenger transport apparatus to brake. The present invention is able to monitor a component running condition and predict a component service life.

Abstract: The present invention relates to the field of passenger conveyor technologies, and provides an engaging state detection system of a passenger conveyor and a detection method thereof. In the engaging state detection system and detection method of the present invention, a depth sensing sensor is used to sense at least an engaging portion between a step and a comb plate of the passenger conveyor to obtain depth maps, and the depth maps are analyzed by a processing apparatus to detect whether an engaging state between the step and the comb plate is a normal state. The detection of the engaging state includes detection on whether comb teeth of the comb plate are broken, whether engaging teeth of the step are broken, and/or whether a foreign matter exists on an engaging line.

Abstract: The present invention provides a big data analysis and processing system and method for a passenger transport apparatus, wherein the big data analysis and processing system comprises: a data collection module, the data collection module comprising: an imaging sensor and/or depth sensing sensor, configured to constantly collect image data and/or depth map data of at least one region of the passenger transport apparatus; and an image processing module, configured to process the image data and/or depth map data to acquire a plurality of types of data of the passenger transport apparatus, comprising one or more of device running data, load data, abnormal behavior data and contingency data; a database, the database gathering and storing the plurality of types of data; and a statistical analysis unit, the statistical analysis unit performing classification and statistics on the plurality of types of data according to a statistical analysis method, and generating an analysis report.

Abstract: A monitoring system includes: an imaging sensor configured to sense a lighting device of the passenger conveyor to acquire image data; and a processing apparatus configured to process the image data, the processing apparatus being configured to include: a background acquisition module configured to acquire a background model based on sensed image data; a foreground detection module configured to compare image data sensed in real time with the background model to obtain a foreground object; and a working condition judgment module configured to perform data processing at least based on the foreground object to judge whether the lighting device is in a normal state. Then, a failure or an abnormal lighting state of the lighting device can be timely diagnosed so that maintenance is performed.

Abstract: A moving handrail monitoring system includes a sensor configured to sense at least part of a moving handrail of the passenger conveying device to acquire a data frame; a processing device configured to analyze and process the data frame to monitor whether a tension degree of the moving handrail is in a normal state, wherein the processing device is configured to include: a target object recognition module configured to recognize, based on a sensed movement and/or position and/or color and/or shape, a moving handrail portion that serves as a target object from the data frame; an object feature extraction module configured to extract a tension degree feature of the moving handrail portion; and a judgment module configured to compare the extracted tension degree feature with a system preset interval, and judge whether a current tension degree of the moving handrail is normal.