Machine vision based method and apparatus for monitoring space utilization rate of cage

Abstract

The embodiments of the invention disclose a machine vision based method and apparatus for monitoring the space utilization rate of a cage. The method comprises the following steps: carrying out video recording; drawing off a cage bottom area from a video recording; obtaining the total area of images in the video recording; obtaining the area of non-carpet areas in the images; and according to the total area of the images and the area of the non-carpet areas, obtaining the percentage which the area of the non-carpet areas account for in the area of the total cage bottom area. According to the embodiments of the invention, through detecting the utilization rate of the cage, a user can know the application condition of the cage in real time so that key data can be provided for optimization scheduling of the cage, and at the same time, work time length, the work time efficiency and the residual space of the cage can be analyzed and counted so that important parameters are provided for the design of an intelligent cage; and the method and apparatus provided by the invention can be widely applied to operation optimization scheduling of a work load cage in a super-high-rise building construction process and have an important application value.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a method and device for monitoring the space utilization rate of a hoisting cage based on machine vision. Background technique [0002] The industrial load cage is an important tool for vertical transportation in the super high-rise construction industry. Its efficient and safe operation is an important guarantee for the quality and duration of construction projects. The optimal scheduling of industrial-loaded cages is the key to improving the operating efficiency of the cages. In the process of optimizing the scheduling of industrial-loaded cages, such as scheduling and fixed-point quantification, the space utilization of the cages becomes an important parameter for the operation of the scheduling algorithm. At present, there is no hanging cage that can realize the monitoring of space utilization. Contents of the invention [0003] The purpose of the present ...

AI Technical Summary

Problems solved by technology

The optimal scheduling of industrial-loaded cages is the key to improving the operating efficiency of the cages. In the process of optimizing the scheduling of industrial-loaded cages, such as scheduling and fixed-point quantification, the space utilization of the cages becomes an important parameter for the operation of the scheduling algorithm. At present, there is no hanging cage that can realize the monitoring of space utilization.

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