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Method for detecting inclined pulling and inclined hoisting of portal crane based on YOLOV3 algorithm

A detection method and door machine technology, applied in computer parts, neural learning methods, calculations, etc., can solve problems such as large lag, low precision, and easy safety hazards, so as to weaken the impact, prolong the service life, and improve intelligence. degree of effect

Pending Publication Date: 2022-05-03
ZHEJIANG PROVINCIAL SPECIAL EQUIP INSPECTION & RES INST +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the detection of the slanted crane of the door crane at home and abroad mainly relies on manual observation, but this method has defects such as low precision and large lag, which is easy to cause safety hazards

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  • Method for detecting inclined pulling and inclined hoisting of portal crane based on YOLOV3 algorithm
  • Method for detecting inclined pulling and inclined hoisting of portal crane based on YOLOV3 algorithm
  • Method for detecting inclined pulling and inclined hoisting of portal crane based on YOLOV3 algorithm

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Embodiment Construction

[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with specific examples. Specific examples are described below to simplify the present invention. However, it should be recognized that the present invention is not limited to the illustrated embodiments, and that various modifications of the present invention are possible without departing from the basic principles, and that these equivalent forms also fall within the scope of the appended claims of this application. limited range.

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protec...

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Abstract

The invention discloses a method for detecting inclined pulling and inclined hoisting of a portal crane based on a YOLOV3 algorithm, and belongs to the field of image target detection. The method comprises the following steps: respectively constructing data sets of a portal crane lifting hook and a lifted object, marking samples of the data sets, constructing a deep learning network architecture based on a YOLOV3 algorithm, training the data sets based on a YOLOV3 network, performing parameter adjustment on the network architecture according to a training result, and putting a video frame to be detected into the network for detection and judgment after adjustment is completed. Finally identifying and determining the poses of the lifting hook and the lifting object, automatically calculating the inclined pulling and inclined lifting angle of the portal crane according to a defined inclination formula, and comparing the inclined pulling and inclined lifting angle with a threshold angle to decide whether to give an alarm or not. According to the method, the poses of the lifting hook and the lifting object of the portal crane can be quickly positioned from the monitoring video, priori information such as the position of the portal crane does not need to be obtained, meanwhile, the characteristics of the lifting hook and the lifting object are fully learned through a YOLOV3 network structure, and the influence of complex outdoor environment factors on inclined pulling and inclined lifting detection of the portal crane can be solved; and meanwhile, the requirements of real-time performance and accuracy can be met.

Description

technical field [0001] The invention belongs to the field of image target detection, and more specifically, relates to a method for detecting a door crane crookedly pulling and obliquely hanging based on the YOLOV3 algorithm. Background technique [0002] The portal crane (also known as the gantry crane) is a bridge type crane whose bridge frame is supported on the ground track by the outriggers on both sides. Structurally, it consists of a mast, a cart running mechanism, a lifting trolley and electrical parts. Some gantry cranes only have outriggers on one side, and the other side is supported to run on the factory building or trestle, which is called a half-gantry crane. The door frame of the door frame is composed of upper bridge frame (including main girder and end beam), outriggers, lower beam and other parts. In order to expand the working range of the crane, the main girder can extend out of the outriggers to one or both sides to form a cantilever. A trolley with a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045
Inventor 何钢迪厉小润王皓蒋剑锋王晶刘德昆马溢坚王建军鄢祖建
Owner ZHEJIANG PROVINCIAL SPECIAL EQUIP INSPECTION & RES INST
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