职称:Associate professor副教授
单位:Nanning vocationaland technical university南宁职业技术学大学
部门:School of new energy vehicle新能源汽车学院
职位: Professional leader 专业带头人
主讲教师:梁华LiangHua
教师团队:共10位
| 学校: | Nanning vocationaland technical university南宁职业技术学大学 |
| 开课院系: | School of new energy vehicle新能源汽车学院 |
| 专业大类: | 6/5000 Equipment manufacturing category装备制造大类 |
| 开课专业: | Intelligent connected vehicle technology, new energy vehicle technology, automotive electronics technology, etc智能网联汽车技术、新能源汽车技术、汽车电子技术等 |
| 课程负责人: | LiangHua梁华 |
| 课程英文名称: | Intelligent Connected Vehicle Sensor Installation and Testing |
| 课程编号: | ZJ0040736 |
| 学分: | 3 |
| 课时: | 42 |
Welcome to the course of "Sensors Installation, Adjustment and Testing for Intelligent Connected Vehicles". The automotive industry is undergoing a digital transformation, and the development of intelligent connected vehicles has become a new path for China's automotive industry to leapfrog. The development of intelligent connected vehicle technology is one of the inevitable trends of promoting the high-end, intelligent, and green development of manufacturing industries, and is an important measure to plug the shortcomings of driving safety in cars.
This course combines theory and practice to provide a comprehensive understanding of the definition, characteristics, composition, working principle, technical parameters, and applications of the core sensors in intelligent connected vehicles, including ultrasonic radar, millimeter wave radar, lidar, visual sensors, and combined navigation systems. It also analyzes the detection, assembly, interconnection debugging, and fault diagnosis tasks for intelligent sensors according to the relevant standards in the "Vocational Skill Level Standard for Intelligent Sensor Testing and Adjustment" to provide a closed-loop design for each learning task, including task introduction, task analysis, task preparation, task implementation, and task evaluation. It also provides teaching resources such as work orders, exercises, electronic courseware, and videos. In terms of content selection, the course team conducted multiple discussions with relevant teaching experts and enterprise experts to carefully arrange seven projects, including cognition of intelligent connected vehicle sensors, assembly and calibration of ultrasonic radar, assembly and calibration of millimeter wave radar, assembly and calibration of laser radar, assembly and calibration of visual sensors, assembly and calibration of combined navigation system, and intelligent sensor calibration technology. The team aimed to combine theory and practice and reflect new technologies and processes.
Through this course, students can not only familiarize themselves with the relevant theoretical knowledge of intelligent connected vehicles and core sensor technologies, but also acquire practical skills in assembling, calibrating, and diagnosing intelligent sensors. This will enhance the talent pool in the intelligent connected vehicle industry and lay a foundation for the digital transformation of the automotive industry.
To facilitate better understanding and enhance learning efficiency, each work task in the course is accompanied by corresponding courseware. For difficult and key knowledge points, micro-lectures are provided. For core skill points, there are also demonstration videos for practical operation. In addition, each work task has a unit test, allowing students to test their learning effectiveness in a timely manner. This can help students identify and fill in knowledge gaps. For students with extra energy, additional exploratory learning materials are available.
欢迎走进《智能网联汽车传感器装调与检测》课程。汽车产业正处于数字化转型变革时期,智能网联汽车产业发展已成为我国汽车产业快速跃升的新路径。智能网联汽车技术的发展,是“推动制造业高端化、智能化、绿色化发展”的必然趋势之一,是补齐汽车驾驶安全短板的重要措施。
以理论与实践相结合,针对智能网联汽车核心传感器技术,深入解析了智能网联汽车超声波雷达、毫米波雷达、激光雷达、视觉传感器、组合导航系统的定义、特点、组成、工作原理、技术参数与应用,也参照《智能网联汽车测试装调职业技能等级标准》中智能传感器测试装调的相关标准,对其检测、装配、联机调试、故障诊断等学习任务进行了分析,每个学习任务按照任务导入、任务分析、任务准备、任务实施、任务评价进行闭环设计,并配套提供了工单、习题、电子课件、视频等教学资源。
在内容选择上,课程团队与相关教学专家、企业专家进行了多次研讨,精心安排了智能网联汽车传感器的认知、超声波雷达的装配与调试、毫米波雷达的装配与调试、激光雷达的装配与调试、视觉传感器的装配与调试、组合导航系统的装配与调试、智能传感器联合标定技术等7个项目,力求理论与实践相结合,体现了新工艺、新技术。
通过本课程的学习,既能熟悉智能网联汽车及其核心传感器技术的相关理论知识,又能在实践中掌握智能传感器的装配、调试及故障诊断,充实智能网联汽车行业的人才储备,为汽车产业数字化转型变革奠定基础。
为了更有利于知识的理解和学习效率的提升,课程中每个工作任务均配备了相应的课件;对于重难点知识还配备了微课讲解;对于核心技能点也配套有实操演示视频。此外,每个工作任务都设置有单元测试,同学们可以及时的检验学习效果,从而帮助同学们查漏补缺。对于学有余力的同学还可以通过学习资料进行相关拓展性学习。| 课程章节 | | 文件类型 | | 修改时间 | | 大小 | | 备注 | |
| 1.1 任务 1 智能网联汽车环境感知传感器 Task 1 Intelligent Connected Vehicle Environment Perception Sensor |
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2024-07-18 | 162.65MB | ||
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2024-07-18 | 206.78MB | |||
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2024-07-18 | 2.45MB | |||
| 2.1 任务 1 什么是超声波雷达?Task 1 What is ultrasonic radar? |
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2024-07-18 | 230.47MB | ||
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2024-07-18 | 274.66MB | |||
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2024-07-18 | 2.44MB | |||
| 2.2 任务 2 超声波传感器功能测试Task 2 Ultrasonic radar sensor function test |
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2024-07-18 | 352.48MB | ||
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2024-07-18 | 526.35MB | |||
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2024-07-18 | 3.29MB | |||
| 2.3 任务 3 超声波传感器整车联调测试Task 3 Ultrasonic radar vehicle coordination |
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2024-07-18 | 336.01MB | ||
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2024-07-18 | 479.74MB | |||
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2024-07-18 | 2.11MB | |||
| 3.1 任务 1 什么是毫米波雷达?Task 1 What is millimeter wave radar? |
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2024-07-17 | 250.51MB | ||
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2024-07-17 | 308.76MB | |||
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2024-07-17 | 2.05MB | |||
| 3.2 任务 2 毫米波雷达传感器功能测试Task 2 Millimeter wave radar sensor function test |
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2024-07-18 | 363.76MB | ||
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2024-07-18 | 500.15MB | |||
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2024-07-18 | 4.35MB | |||
| 3.3 任务 3 毫米波雷达传感器整车联调测试Task 3 Millimeter wave radar vehicle joint debugging test |
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2024-07-18 | 362.17MB | ||
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2024-07-18 | 541.64MB | |||
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2024-07-18 | 1.23MB | |||
| 4.1 任务 1 什么是激光雷达?Task 1 What is LiDAR? |
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2024-07-18 | 162.72MB | ||
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2024-07-18 | 201.80MB | |||
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2024-07-18 | 5.19MB | |||
| 4.2 任务 2 激光雷达传感器功能测试Task 2 Lidar sensor Functional testing |
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2024-07-18 | 223.62MB | ||
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2024-07-18 | 325.17MB | |||
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2024-07-18 | 2.87MB | |||
| 4.3 任务 3 激光雷达传感器整车联调测试Task 3 Lidar sensor vehicle integrated test |
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2024-07-18 | 348.00MB | ||
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2024-07-18 | 514.44MB | |||
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2024-07-18 | 2.73MB | |||
| 5.1 任务 1 什么是视觉传感器Task 1 What is a vision sensor? |
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2024-07-18 | 247.15MB | ||
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2024-07-18 | 293.37MB | |||
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2024-07-18 | 2.49MB | |||
| 5.2 任务 2 视觉传感器功能测试Task 2 Visual transmission sensor function test? |
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2024-07-18 | 217.80MB | ||
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2024-07-18 | 317.07MB | |||
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2024-07-18 | 2.39MB | |||
| 5.3 任务 3 视觉传感器整车联调测试Task 3 On-line debugging of visual transmission sensor |
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2024-07-18 | 252.30MB | ||
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2024-07-18 | 362.32MB | |||
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2024-07-18 | 3.45MB | |||
| 6.1 任务 1 卫星导航定位系统认知Task 1 Global Navigation system awareness |
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2024-07-18 | 196.70MB | ||
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2024-07-18 | 236.43MB | |||
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2024-07-18 | 3.78MB | |||
| 6.2 任务2 组合导航系统的认知 Task 2 Cognition of integrated navigation system |
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2024-07-18 | 187.14MB | ||
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2024-07-18 | 189.41MB | |||
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2024-07-18 | 7.10MB | |||
| 6.3 任务 3 车载卫星导航定位系统整车联调测试Task 2 Vehicle satellite navigation and positioning systemCombined vehicle testing |
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2024-07-18 | 165.36MB | ||
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2024-07-18 | 253.57MB | |||
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2024-07-18 | 3.02MB | |||
| 7.1 任务 1 惯性导航定位系统认知Task 1 Inertial navigation system cognition |
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2024-07-18 | 97.15MB | ||
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2024-07-18 | 122.75MB | |||
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2024-07-18 | 4.17MB | |||
| 7.2 任务 2 车载惯性导航系统功能测试Task 2 Functional testing of vehicle inertial navigation system |
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2024-07-18 | 256.26MB | ||
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2024-07-18 | 375.97MB | |||
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2024-07-18 | 4.53MB | |||
| 7.3 任务 3 车载惯性导航系统整车联调测试Task 3 Vehicle Inertial Navigation System Joint Debugging Test |
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2024-07-18 | 242.95MB | ||
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2024-07-18 | 358.21MB | |||
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2024-07-18 | 3.38MB | |||
| 8.1 任务 1 多传感器融合系统调试Task 1 Multi-sensor fusion system debugging |
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2024-07-18 | 274.71MB | ||
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2024-07-18 | 385.65MB | |||
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2024-07-18 | 2.71MB |