Intelligent ladder networking control method and system based on machine vision

Abstract

The invention provides an intelligent ladder networking control system based on machine vision. The intelligent ladder networking control system comprises a camera audio and video module, a multi-axisacceleration sensor module and a main processing module, wherein the camera audio and video module is used for collecting audio and video data, a target in the audio and video data is recognized through a trained deep learning neural network model, and a target recognition result is generated; the multi-axis acceleration sensor module is used for collecting various acceleration values in the operation process of an elevator and generating an elevator operation data result after being preprocessed; and the main processing module is used for comprehensively analyzing the target recognition result and the elevator operation data result, ladder networking data are generated, and the stair networking data are reported to a remote server. The invention further provides a method corresponding tothe system. The method has the advantages that the machine vision analysis is combined, and the operation logic of the elevator is comprehensively analyzed and judged through audio and video data sampling and multi-axis acceleration sampling, running the health state, running the fault and uploading the fault to the cloud, so that great convenience can be brought to an elevator maintenance partyor a using party to timely troubleshoot the fault hidden danger.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a machine vision-based intelligent elevator networking control method and system. Background technique [0002] Elevator is a kind of vertical elevator powered by electric motor, equipped with box-shaped gondola, which is used for multi-storey buildings to take people or carry goods. At present, elevators have been widely used in multi-storey buildings, and a large part of elevators are used for passengers. Therefore, the safety of elevators has always been concerned. [0003] The control system of the elevator is the core component of the whole elevator. A perfect control system can guarantee the safety and stability of the elevator. However, the existing elevator control system has the following disadvantages: in the traditional elevator control system, some sensors are used to collect signals, such as using photoelectric sensors or mechanical baffles to judge the elevato...

AI Technical Summary

Problems solved by technology

However, the existing elevator control system has the following disadvantages: in the traditional elevator control system, some sensors are used to collect signals, such as using photoelectric sensors or mechanical baffles to judge the elevator door switch, using weight sensors to Judging the weight, etc., and reconnecting the signal transmitted by the sensor through the elevator network control system; however, the sensor can only realize some simple elevator door opening and closing, weight, etc. Potential safety hazards. Passengers can’t judge whether there are behaviors such as slapping the elevator door, opening the elevator door forcibly, fighting, jumping, etc., and can’t conduct a comprehensive analysis of the health status of the elevator. Therefore, it is not conducive to elevator maintenance or users to troubleshoot elevator failures in a timely manner Hidden danger

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