发布名称:基于自主导航定位技术的无人机桥梁智能检测系统发布会

The name of the publication: Release of UAV bridge intelligent detection system based on autonomous navigation and positioning technology

 

发布时间 / Release Time2024 年 6 月 28 日 9:00-9:30 / Jun. 28, 2024, 9:00-9:30

发布地点 / Release Place成果发布区 / Achievement Release Area

 

发布议程 / Release Agenda

09:00- 开幕致辞 公司简介

Opening speech Company profile

09:03- 无人机检测技术发展回顾与展望

Retrospect and prospect of UAV inspection technology development

09:08- 核心技术 1:无人机自主导航定位技术

Core technology 1: UAV autonomous navigation and positioning technology

09:12- 核心技术 2:病害图像采集及精准定位、识别技术

Core technology 2: Disease image acquisition, precise positioning, and recognition technology

09:15- 核心技术 3:自主巡航技术与三维数字孪生建模

Core technology 3: Autonomous cruise technology and 3D digital twin modeling

09:18- 凌志 1.0 无人机(产品发布)

Lingzhi 1.0 UAV (product launch)

09:22- 凌志 2.0 无人机(产品发布)

Lingzhi 2.0 UAV (product launch)

 

主要内容和创新点 / Main Contents And Innovations

围绕智能管养的切实需求,中铁长江设计检测公司联合研发推出凌志系列无人机只能检测系统,该系统是目前业内首套利用自主导航定位技术,同步实现数据采集、病害检测、三维建图、参数量化、病害定位以及模型分析全流程智能化技术解决方案,可满足真正意义上的工程检测应用。该系统具有飞行稳定性高、智能化程度高、病害识别精度高、作业效率高、运行成本低等优势特点,可广泛应用于桥梁定、巡检、路面资产巡查、边坡巡视等专业领域。

Addressing the practical needs of intelligent maintenance, China Railway Changjiang Design and Testing Co., Ltd. has jointly developed and launched the Lingzhi series of intelligent inspection systems for unmanned aerial vehicles (UAVs). This system is the industry’s first comprehensive intelligent technology solution that utilizes autonomous navigation and positioning technology to simultaneously achieve data acquisition, disease detection, 3D mapping, parameter quantification, disease localization, and model analysis. It can meet the requirements of true engineering inspection applications. The system boasts advantages such as high flight stability, high degree of intelligence, high accuracy of damage recognition, high operational efficiency, and low operating costs. It can be widely applied in specialized fields such as bridge inspection, road asset inspection, and slope patrol.