Self-turning car collaborative unloading system based on unloading posture perception
By collecting vehicle posture and weight distribution data in real time through the unloading posture perception system and making multi-condition threshold judgments, the problem of uneven unloading and safety hazards during the unloading of ore by self-tipping trucks has been solved, achieving precise control and risk warning, and improving unloading efficiency and safety.
CN121553718BActive Publication Date: 2026-07-14ANSTEEL GRP RAILWAY EQUIP CHECKING & REPAIRING CO
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANSTEEL GRP RAILWAY EQUIP CHECKING & REPAIRING CO
- Filing Date
- 2025-11-24
- Publication Date
- 2026-07-14
AI Technical Summary
Technical Problem
The existing self-tipping unloading process for ore lacks multi-dimensional perception, resulting in uneven unloading, excessive tilting, and safety hazards, and it cannot adapt to the dynamic changes during the unloading process.
Method used
The unloading posture perception system collects vehicle posture data and weight distribution in real time, performs multi-condition threshold judgment and dynamic feature analysis, and integrates vehicle posture and weight distribution data to achieve accurate capture and risk warning of the unloading process.
Benefits of technology
It achieves precise control over the unloading process, comprehensively covers various risk conditions, improves unloading efficiency, and reduces safety hazards.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121553718B_ABST
Abstract
The present application relates to the field of self-dumping car control, and is used to solve the problem that the sensing information of the traditional mine material self-dumping car is single and cannot adapt to the nonlinear characteristics of dynamic changes in the unloading process, in particular to a mine material self-dumping car collaborative unloading system based on unloading posture sensing, which comprises an unloading instruction control module, a collaborative sensing layer, an unloading system decision module and an early warning output module; the present application realizes accurate capture of dynamic changes in weight distribution during the unloading process through accurate and complete real-time collection of vehicle posture state data and pressure ratio changes of each point, and obtains vehicle body inclination angle early warning, vehicle door opening degree abnormal early warning, unloading abnormal early warning and pressure distribution early warning through fusion of vehicle posture state data and weight distribution dynamic sensing results, multi-condition threshold judgment and dynamic characteristic analysis, thereby comprehensively covering various risk working conditions in the unloading process.
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