An elevator shaft design method and system based on image recognition

Abstract

The invention provides an elevator shaft design method and system based on image recognition. The method includes collecting hoistway images vertically at intervals; performing identification, splicing and A / D conversion on the images in sequence and forming a complete shell model of the maximum allowable accommodating space of the elevator hoistway; generating parameterized data by utilizing theshell model; performing smart matching between the parameterized data and a specified elevator parameter specification; if the matching is successful, outputting the elevator parameter specification as a design solution; if the matching is unsuccessful, adjusting the elevator parameter specification and then performing matching again until the matching is successful. According to the elevator parameter specification matching method and device, the personal injury accidents such as high object falling, missing stepping and shearing which are likely to happen in the operation process of personnel in the dangerous environment of the elevator hoistway are avoided, and the design scheme can be automatically generated.

Description

technical field [0001] The present disclosure relates to a method and system for designing an elevator shaft based on image recognition. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The elevator shaft is the passage for the elevator car and the counterweight to run, and it is a relatively closed space in the building. The structure, shape and geometric dimensions of the hoistway play an important role in the determination of elevator parameters and are the basis of elevator design. [0004] Under the existing technology, the structure, shape and geometric dimensions of the elevator shaft must be obtained by professionals entering the inside of the shaft for on-site survey, so there are man-made or environmental (such as measurement errors, accumulation of debris, coverage of accumulated grout, dust, light, etc.), danger Influenced by...

AI Technical Summary

Problems solved by technology

[0004] Under the existing technology, the structure, shape and geometric dimensions of the elevator shaft must be obtained by professional personnel to enter the inside of the shaft for on-site survey, so there are man-made or environmental (such as measurement errors, accumulation of debris, coverage of accumulated grout, dust, light, etc.), danger Influenced by factors such as falling from heights, falling objects from heights, hollow shearing, and other factors, and with the increasing number of high-rise buildings, it is very labor-intensive to manually climb floors for surveys, which is often used and can easily cause work Mistakes and Security Incidents

[0005] Excessive measurement errors in the structure, shape and geometric dimensions of the shaft (the precision required for elevator design is at the millimeter level) lead to design errors: for example, if the design size is out of tolerance, the car may not be installed in the shaft, resulting in rework or even scrapping, otherwise the building area will be wasted ;In addition, the beams and columns in the concealed project may protrude from the boundary of the hoistway, but the manual survey cannot be found due to the influence of environmental and human factors, so when the elevator is installed, the relevant parts of the elevator may interfere with these protrusions; at the same time , the measurement error of geometric dimensions is large, and it is inevitable that there will be missing or excessive waste in the configuration of components related to dimensions, such as guide rails, cables, fasteners, etc.

[0006] What is more influential is that the current elevator design (type selection, configuration, pattern) generally adopts parametric secondary development based on engineering drawing software, and the design input and front end are based on the data of the above-mentioned manual shaft survey. Under the existing technology, These data have not yet been associated with the design unit at the back end, but are transmitted by manual transcripts, which have great distortion, misjudgment and lag effects

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