System and method of filtering false alarm of person-trapped-in-elevator condition in real time based on time domain relational network

Abstract

The invention discloses a system and method of filtering false alarm of a person-trapped-in-elevator condition in real time based on a time domain relational network. The system comprises an alarm service unit, a video storage service unit and a person-trapped-in-elevator condition alarm filter service unit based on the time domain relational network. The alarm service unit acquires an image and processes and analyzes the image data to judge whether suspected person-trapped-in-elevator alarm is available or not, and if so, the alarm service unit sends alarm information and an alarm video to the person-trapped-in-elevator condition alarm filter service unit based on the time domain relational network; the person-trapped-in-elevator condition alarm filter service unit based on the time domain relational network filters and analyzes the alarm video in real time and judges whether a true person-trapped-in-elevator condition happens or not according to the analyzing result, and if so, the person-trapped-in-elevator condition alarm filter service unit feeds the person-trapped-in-elevator alarm information back to the alarm service unit; and the alarm service unit informs a maintenance part with the alarm information and the video storage service unit is started to store the video. The system and the method can differentiate whether the true person-trapped-in-elevator condition happens or not in real time and inform and assist the maintenance unit in real time to rescue trapped passengers immediately.

Description

technical field [0001] The invention belongs to the technical field of congestion detection at escalator entrances, and in particular relates to a system and method for real-time filtering false alarms of elevator trapped persons based on a time-domain relational network. Background technique [0002] At present, elevators, especially straight elevators, have become the standard equipment of many residential buildings, office buildings, and shopping malls. While it brings a lot of convenience to the lives of the people, it will also be caused by many factors such as inadequate maintenance or human misuse. , resulting in frequent incidents of trapped people in straight ladders. Since the daily maintenance of elevators for daily cleaning, advertising and operation and maintenance personnel will cause considerable trapped people alarms, it is particularly important to establish a complete and real-time system for eliminating false alarms for elevator trapped people. At present...

AI Technical Summary

Problems solved by technology

[0004] The shortcoming of this technical scheme: this scheme is mainly aimed at the logical combination between a plurality of detection signals of a step elevator to detect whether the elevator is in a sleepy state, and more signals are required. When a signal fails (for example, acceleration Sensor failure, etc.), will lead to missed alarms. At the same time, due to the serial processing of multiple signals, it will also have a great impact on the real-time performance of the alarm processing of trapped people; at the same time, in order to ensure high accuracy, multiple expensive Sensors (including acceleration sensors, PIR infrared sensors, etc.) to obtain accurate elevator status signals, so the cost of the detection system is also relatively high

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