Aggregate weight collecting device
By using the second degree of freedom gimbal and lidar mounted on the aggregate stack to obtain point cloud data, generate a three-dimensional model and calculate the volume, the problems of time-consuming and labor-intensive measurement of traditional aggregate weight and the influence of environmental factors are solved, and the problem of the impact of environmental factors is realized. Efficient and accurate aggregate weight measurement.
CN119309654AInactive Publication Date: 2025-01-14HAINAN PREFABRICATED BUILDING INDUSTRIALIZATION TECH CO LTD
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Patent Information
- Application Number
- CN202411551027.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-01-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
Traditional aggregate weight measurement methods are time-consuming and labor-intensive, making it difficult to accurately measure large-volume and irregular-shaped aggregate stacks, and are greatly affected by environmental factors.
Method used
A mobile car is equipped with a two-degree of freedom gimbal and a lidar. By obtaining a point cloud data set, a three-dimensional model of the aggregate stack is generated, the proportion of points in the surrounding space is calculated to estimate the volume, and weight is obtained in combination with density.
Benefits of technology
It greatly reduces artificial intervention, reduces measurement errors, improves measurement efficiency and accuracy, and adapts to various environmental conditions.
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Figure CN119309654A_ABST
Abstract
The invention discloses an aggregate weight acquisition device, which comprises a moving trolley, a two-degree-of-freedom holder and a laser radar, and is characterized in that the laser radar is arranged on the two-degree-of-freedom holder, the moving trolley moves around an aggregate pile, and the laser radar is in signal connection with a main controller; the main controller operates an aggregate heap weight calculation method, and the method comprises the following steps: obtaining a point cloud data set from a laser radar, and generating a three-dimensional model of an aggregate heap by using the point cloud data; generating a surrounding space which completely accommodates the three-dimensional model of the aggregate pile, and setting the volume of the surrounding space; randomly generating a large number of points in the surrounding space, and checking whether the points are in the three-dimensional model of the aggregate heap: calculating the proportion of the points falling in the aggregate heap to all the generated points, and estimating the volume of the aggregate heap by using the proportion; and obtaining the aggregate heap weight based on the aggregate heap volume and the aggregate heap density.
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