基于平行控制理论的矿区无人驾驶卡车仿真系统

杨荣明; 丁震; 杨健健; 付建华; 高玉; 魏亚; 艾云峰; 张致铭

doi:10.13272/j.issn.1671-251x.17999

基于平行控制理论的矿区无人驾驶卡车仿真系统

doi: 10.13272/j.issn.1671-251x.17999

杨荣明^1,,
丁震¹,
杨健健^{2, 3},
付建华⁴,
高玉⁴,
魏亚⁴,
艾云峰⁴,
张致铭²

1.
国家能源集团煤炭运输部, 北京　100013
2.
中国矿业大学(北京) 机电与信息工程学院, 北京　100083
3.
矿业大学(北京)内蒙古研究院, 内蒙古鄂尔多斯　010300
4.
北京慧拓无限科技有限公司, 北京　100083

详细信息

作者简介:
杨荣明（1965—），男，山西忻州人，教授级高级工程师，现主要从事煤矿开采、露天煤矿无人驾驶、煤矿智能化等技术研究及管理工作，E-mail：10010005@ceic.com

中图分类号: TD67
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出版历程
- 收稿日期: 2022-08-08
- 修回日期: 2022-10-27
- 网络出版日期: 2022-11-21

Simulation system of mine unmanned vehicle based on parallel control theory

1.
Coal Transportation Department, CHN Energy, Beijing 100013, China
2.
School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
3.
Inner Mongolia Research Institute of China University of Mining and Technology-Beijing, Erdos 010300, China
4.
Beijing Huituo Infinite Technology Co., Ltd., Beijing 100083, China

摘要

摘要: 针对矿用车辆实车测试无人驾驶存在危险性大、测试时间长、测试成本高、测试内容覆盖面窄等问题，研究了基于平行控制理论的矿区无人驾驶卡车仿真系统。该系统采用矿用卡车动力学建模、高保真场景重构、虚拟传感器建模等关键技术，实现无人驾驶算法全面推演、系统集成可靠性测试、矿区生产预测模拟、虚实互动平行推演等功能。矿用卡车动力学建模主要步骤分为整车模型搭建与可视化场景创建2个部分，将车辆动力学模型与虚拟场景关联，利用车辆模型产生的仿真数据实时驱动虚拟场景中的车辆运动。针对大型露天矿场景复杂、不规则的特性，通过无人机航拍测绘、激光雷达三维扫描等手段，获取矿山高精度三维模型数据，基于虚拟微多边形几何体技术、高像素虚拟纹理技术、三维场景实时渲染技术，构建高保真虚拟三维场景。虚拟传感器主要包括虚拟激光雷达、虚拟毫米波雷达、虚拟惯导装置、虚拟视觉相机，搭载于虚拟矿车上，负责生成虚拟场景中的数据信息，并将数据发送到自动驾驶控制器进行处理。基于该仿真系统，可以进行单车测试、多车调度测试、智能调度算法测试，还可以对现场车辆和虚拟车辆的虚实互动进行测试，为整个矿区的稳定运输、复杂路口的推演模拟、智能调度算法的最优决策提供验证平台，确保无人驾驶测试效率和安全，加快矿区无人驾驶技术升级。
- 无人驾驶 /
- 平行控制 /
- 矿用车辆动力学建模 /
- 高保真场景重构 /
- 虚拟传感器建模 /
- 虚实互动
Abstract: The test of mine unmanned vehicle has problems of great danger, long test time, high test cost and narrow test coverage. In order to solve the above problems, the simulation system of unmanned mine vehicle based on parallel control theory is studied. The system adopts key technologies such as mine vehicle dynamics modeling, high-fidelity scene reconstruction, and virtual sensor modeling. The system realizes the functions of comprehensive deduction of the unmanned driving algorithm, system integration reliability test, mining area production prediction simulation, and virtual and actual interactive parallel deduction. The main step of dynamic modeling of the mine vehicle is divided into two parts: vehicle model building and visual scene creation. The vehicle dynamic model is associated with the virtual scene. The simulation data generated by the vehicle model is used for driving the vehicle in the virtual scene to move in real-time. In view of the complex and irregular characteristics of the large-scale open-pit mine scene, the high-precision 3D model data of the mine is obtained by means of UAV aerial mapping and laser radar 3D scanning. Based on the virtual micro polygon geometry technology, high pixel virtual texture technology, and 3D scene real-time rendering technology, a high-fidelity virtual 3D scene is constructed. The virtual sensor mainly comprises virtual laser radar, virtual millimeter wave radar, virtual inertial navigation device and virtual vision camera. The virtual sensor is carried on the virtual mine car. It is responsible for generating virtual data information in a simulated mining area scene, and sending the data to the automatic driving controller for processing. Based on the simulation system, single-vehicle test, multi-vehicle scheduling test and intelligent scheduling algorithm test can be carried out. The dynamic virtual-reality interaction between on-site vehicles and virtual vehicles can be tested. The system is used to provide a verification platform for stable transportation of the whole mining area, deduction simulation of complex intersections and optimal decision of intelligent scheduling algorithm. The system ensures the efficiency and safety of unmanned driving test and accelerates the upgrading of unmanned driving technology in the mining area.
- unmanned driving /
- parallel control /
- dynamic modeling of mining vehicles /
- high fidelity scene reconstruction /
- virtual sensor modeling /
- virtual reality interaction

HTML全文

图 1 高保真虚拟矿山重构渲染效果

Figure 1. Reconstruction rendering effect of high fidelity virtual mine

下载: 全尺寸图片幻灯片

图 2 虚拟传感器获取的点云数据

Figure 2. Point cloud data acquired by virtual sensors

下载: 全尺寸图片幻灯片

图 3 虚拟驾驶器

Figure 3. Virtual driver

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图 4 虚实互动平行推演场景

Figure 4. Virtual reality interaction parallel deduction scene

下载: 全尺寸图片幻灯片

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