An abnormal condition recognition and determination method and system

CN121945821BActive Publication Date: 2026-05-29CHENGDU WANWEI TUXIN INFORMATION TECH
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Patent Information

Application Number
CN202610426909.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-05-29
Estimated Expiration
2046-04-02

AI Technical Summary

Technical Problem

Existing technologies cannot conduct online, real-time dust explosion risk assessments during the machining of magnesium-zinc alloy bone screws. In particular, it is difficult to capture the dynamic coupling effect of dust diffusion, temperature changes, and energy impact generated during machining, resulting in delayed risk identification and highly subjective assessment results, making it impossible to achieve early warning.

Method used

By acquiring information on the blanks and finished products of magnesium-zinc alloy bone screws, infrared thermal imaging videos, and lidar dust point cloud videos, a dust settling suppression capability level distribution map is generated to determine the appropriate turning processing scheme. Furthermore, graph neural networks are used to analyze the thermal dust coupling impact information in the simulation videos to construct a dust explosion risk distribution map, thereby achieving the final determination of the dust explosion risk warning value.

Benefits of technology

It enables efficient and accurate early warning of dust explosion risks during the turning of magnesium-zinc alloy bone screws, avoiding safety accidents and improving the accuracy and reliability of the assessment.

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Abstract

The application provides an abnormal working condition identification and determination method and system, and relates to the technical field of abnormal working condition identification.The method comprises the following steps: acquiring blank and finished product information of magnesium-zinc alloy bone screw to be turned, a previous non-isotactic magnesium-zinc alloy part turning processing infrared thermal imaging video, and a previous non-isotactic magnesium-zinc alloy part turning processing laser radar dust point cloud video; based on the previous non-isotactic magnesium-zinc alloy part turning processing infrared thermal imaging video and the previous non-isotactic magnesium-zinc alloy part turning processing laser radar dust point cloud video, a processing space dust deposition inhibition capability grade distribution diagram is generated; if the final dust explosion risk early warning value of the current turning processing task is greater than a preset dust explosion safety threshold value, it is determined that the current magnesium-zinc alloy bone screw turning processing working condition is abnormal; and the method can efficiently and accurately determine the dust explosion risk early warning value of magnesium-zinc alloy bone screw turning processing and realize the determination of abnormal working conditions.
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Citation Information

Patent Citations

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    CN101710078A

  • Wet dust collection device with anti-explosion function and polishing system

    CN105999972A