Video monitoring system with elevator invalid request signal removing function

Abstract

The invention relates to a video monitoring system with an elevator invalid request signal removing function. Elevator waiting hall video acquisition modules are mounted in elevator waiting halls in each floor, and a car video acquisition module is mounted in a car. Images acquired are respectively transmitted to the elevator waiting hall video processing modules and a car video processing module. Whether people are in elevator waiting halls or in the car or whether the car is in full load conditions or not can be detected by comprehensively utilizing various image processing technologies such as human-body judgment and 'space full-load detection' technology. Further, processing results are transmitted to a CAN (controller area network) bus via a CAN module, and received by an invalid request processing module for further processing. For invalid requests, the invalid request processing module transmits removal commands to an elevator master controller, invalid stopping of the elevator in various conditions can be avoided, running efficiency of the elevator is improved and energy loss is reduced.

Description

technical field [0001] The invention mainly relates to the field of elevator video monitoring, in particular to a video monitoring system for clearing elevator invalid request signals. Background technique [0002] With the development of the urbanization process and the progress of the social economy, high-rise buildings continue to emerge, and elevators have been widely used as the main tool for vertical transportation in high-rise buildings. At present, while elevator products meet the basic needs of users, they are also developing in the direction of energy saving and intelligence. How to optimize and dispatch elevators more effectively, improve elevator operating efficiency, and reduce elevator energy consumption are currently major Elevator manufacturers and related research and development institutions urgently need to consider. [0003] Under the existing elevator scheduling mode, some invalid stops often occur during the elevator running process, for example: someo...

AI Technical Summary

Problems solved by technology

However, limited by the principle of the pyroelectric infrared sensor, the human body can only be detected when there is obvious movement or shaking, but the probability of people waiting for the elevator and taking the elevator is relatively high, so the sensor is used to monitor the number of people and the number of people inside and outside the elevator. detection, not suitable

Moreover, the use of artificial neural networks requires a large number of samples to learn and train. If the number of samples is not enough or the sample data is not selected properly, it will also affect the accuracy of detection.

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