The invention provides an elevator intelligent stopping management method and system based on machine vision and a storage medium, which are used for elevator management, and comprise a basic elevator system, an acquisition module, a feature extraction module, a processing module and a control module, the acquisition module is used for acquiring an elevator leveling matching image, an in-car image and a car moving image; the feature extraction module is used for performing dynamic feature extraction on the image information acquired by the acquisition module and matching the image information with pre-stored position information, illegal information and dangerous information to obtain a feature optimization set; the processing module is used for performing information processing on the feature optimization set based on a preset data integration algorithm to obtain a processing result; and the control module is used for issuing a corresponding control instruction based on the processing result to control the basic elevator system to operate. The image of the lift car is collected based on the machine vision technology, the scene where an elevator is located is recognized by collecting the features of the image, and danger forecasting is conducted.
本发明提供了一种基于机器视觉的电梯智能停靠管理方法、系统及存储介质,用于电梯管理,包括基础电梯系统,还包括:采集模块、特征提取模块、处理模块以及控制模块;采集模块,用于采集电梯平层匹配图像、轿厢内图像、轿厢运动图像;特征提取模块,用于对采集模块所采集的图像信息进行动态特征提取,并与预存储的位置信息、非法信息以及危险信息相匹配,获得特征优化集合;处理模块,基于预设数据整合算法对特征优化集合进行信息处理,得到处理结果;控制模块,用于基于处理结果发布对应控制指令控制基础电梯系统运行。本发明基于机器视觉技术对轿厢的图像进行采集,通过对图像的特征采集识别电梯所处场景,进行危险预告。
Intelligent elevator stopping management method and system based on machine vision and storage medium
基于机器视觉的电梯智能停靠管理方法、系统及存储介质
2023-07-04
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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