基于无人机低空遥感网的智能巡检系统架构研究
Research on Intelligent Inspection System Architecture Based on Low Altitude Remote Sensing Network of UAV
郭建雄 1周慧 1黄吴蒙 2赵晓丹 2岑建昇1
作者信息
- 1. 广州中科云图智能科技有限公司,广东广州 510030
- 2. 广州中科云图智能科技有限公司,广东广州 510030;佛山中科云图智能科技有限公司,广东佛山 528000
- 折叠
摘要
无人机低空遥感网是以无人机智能基站为载体,地理空间智能算法(GeoAI)为核心,集成不同的无人机、传感器和机载AI计算模块,构建全空间GIS框架下空地一体的协同组网模式,实现高频次、全自动、立体化监测的一种组网遥感观测技术.针对传统无人机巡检系统存在的痛点,提出了一种基于无人机低空遥感网的智能巡检系统架构.通过研究该系统架构,可以实现对电力设备的高效巡检,提高巡检效率和可靠性.此外,该架构具有灵活性和可扩展性,能够适应不同规模和复杂度的电力系统.
Abstract
The UAV low altitude remote sensing network is based on the UAV intelligent base station as the carrier and geospatial intelligent algorithm(GeoAI)as the core,integrating different UAVs,sensors and airborne AI computing modules,constructing a collaborative networking mode of air-ground integration under the framework of full-space GIS,and realizing a networking remote sensing observation technology of high frequency,automatic and three-dimensional monitoring.Aiming at the pain points of the traditional UAV inspection system,this paper proposes an intelligent inspection system architecture based on the UAV low altitude remote sensing network.By studying the system architecture,the efficient inspection of power equipment can be realized,and the inspection efficiency and reliability can be improved.In addition,the architecture is flexible and scalable to adapt to power systems of different sizes and complexity.
关键词
无人机/低空遥感网/智能巡检系统/信息汇总Key words
UAV/low altitude remote sensing network/intelligent inspection system/information summary引用本文复制引用
基金项目
佛山市科技创新项目(1920001004183)
广州市科技计划(202206010098)
出版年
2024
NETL
NSTL
万方数据