Tightening mistake-proofing process, system and device based on AI intelligent vision

A technology of intelligent vision and vision system, applied in metal processing, manufacturing tools, metal processing equipment, etc., can solve the problem of inability to realize tightening error prevention, and achieve the effect of good tightening effect and high efficiency

Pending Publication Date: 2021-01-22
固智机器人(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For part of the interfering space, it is not possible to realize the error proofing of tightening

Method used

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  • Tightening mistake-proofing process, system and device based on AI intelligent vision
  • Tightening mistake-proofing process, system and device based on AI intelligent vision

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, 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 protection scope of the present invention.

[0033] The core of the present invention is to provide an AI intelligent vision-based tightening error prevention process, system and device, which can be used to tighten bolts in a preferential space and prevent errors.

[0034] Please refer to Figure 1~2 , figure 1 The flow chart of the screwing error prevention process based on AI intelligent vision provided by the present invention; figure 2 It is a schematic diagram of the signal transmission between ...

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Abstract

The invention discloses a tightening mistake-proofing process, system and device based on AI intelligent vision. The tightening mistake-proofing process based on AI intelligent vision comprises the steps: S1, recognizing the installation environment of a bolt through an AI visual system disposed on a tightening gun, selecting a bolt position number corresponding to the installation environment according to the installation environment, and sending the bolt position number to a tightening system; and S2, selecting by the tightening system a tightening process corresponding to the bolt positionnumber according to the bolt position number, and tightening the bolt through the tightening process. An image acquisition system is directly installed and bound on the tightening gun, much mechanicalinterference is reduced compared with an original system composed of an encoder and an assisting arm, the method can be adopted to tighten bolts in a narrow space in a vehicle body in places where the assisting arm cannot reach but the requirement for tightening quality is high, the tightening effect is good, and efficiency is high.

Description

technical field [0001] The present invention relates to the field of AI intelligence technology, more specifically, to an AI intelligent vision-based screwing error prevention process, system and device. Background technique [0002] In the field of traditional mechanical assembly, such as occasions with high requirements for bolt tightening technology, such as bolt tightening of automobile engines, etc., the tightening quality of threaded fasteners directly determines the quality and reliability of products. The current bolt tightening problems mainly include: missed tightening; wrong tightening, calling the wrong tightening process for tightening; repeated tightening, re-tightening the already tightened bolts, reducing the service life of the bolts. [0003] At present, the error prevention method commonly used in the production line in the industry is to prevent errors by using the encoder to memorize the bolt position. The main principle is that, firstly, by teaching, m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23P19/06
CPCB23P19/06
Inventor 孙令强汤统国谭旭东田诚
Owner 固智机器人(上海)有限公司
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