黄伦,朱玉琴,舒畅,周俊炎,代璐,张志豪,何德洪.智能巡检机器人在自然环境试验中的应用探讨[J].装备环境工程,2024,21(1):121-126. HUANG Lun,ZHU Yuqin,SHU Chang,ZHOU Junyan,DAI Lu,ZHANG Zhihao,HE Dehong.Discussion on Application of Intelligent Inspection Robots in Natural Environment Experiments[J].Equipment Environmental Engineering,2024,21(1):121-126. |
智能巡检机器人在自然环境试验中的应用探讨 |
Discussion on Application of Intelligent Inspection Robots in Natural Environment Experiments |
投稿时间:2023-11-08 修订日期:2023-12-01 |
DOI:10.7643/issn.1672-9242.2024.01.016 |
中文关键词: 智能巡检 机器人 环境试验 图像识别 数据采集 数字化中图分类号:TP249 文献标志码:A 文章编号:1672-9242(2024)01-0121-06 |
英文关键词:intelligent inspection robot environmental test image recognition data collection digitization |
基金项目:国家自然科学基金(U22A201106-1);重庆市技术创新与应用发展专项重点项目(CSTB2022TIAD-CUX0015-1) |
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Author | Institution |
HUANG Lun | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
ZHU Yuqin | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
SHU Chang | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
ZHOU Junyan | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
DAI Lu | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
ZHANG Zhihao | Southwest Institute of Technology and Engineering, Chongqing 400039, China |
HE Dehong | Jiangjin Atmospheric Material Corrosion Field National Observation and Research Station, Chongqing 402260, China |
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中文摘要: |
目的 探索建立自然环境试验智能巡检系统,使用机器人替代部分人工巡检工作。方法 通过分析巡检作业环境和巡检任务,确定智能巡检机器人的功能要求和技术参数,进而开展机器人本体结构设计,融合控制后台、远程数据库等设备,实现智能巡检系统构建。结果 开展了智能巡检数据采集的使用验证,巡检机器人采集的样品图像对焦清晰、分辨率高,样品在图像中的位置大小合理,腐蚀特征展示清楚。巡检系统可对样品图像进行自动分割和智能识别,对蚀点、流痕等损伤特征识别准确,精度可达0.1%。结论 智能巡检系统可以满足自然环境试验的巡检要求,替代人工完成部分巡检工作,智能巡检数据便于入库和使用挖掘,对于自然环境试验的数字化转型有积极的推动作用。 |
英文摘要: |
The work aims toexplore the establishment of an intelligent inspection system for natural environment experiments, replace some manual inspection work with robots. By analyzing the inspection work environment and inspection tasks, the functional requirements and technical parameters of the intelligent inspection robot were determined, and then the robot body structure design was carried out, integrating control backend, remote database and other equipment to achieve the construction of an intelligent inspection system. The use of intelligent inspection data collectionwas verified. The sample images collected by the inspection robot have clear focus, high resolution, reasonable position and size of the samples in the images, and clear display of corrosion characteristics. The inspection system could automatically segment and intelligently recognize sample images, and accurately identify damage features such as corrosion points and flow marks, with an accuracy of up to 0.1%. The intelligent inspection system can meet the inspection requirements of natural environment experiments, and replace manual completion of some inspection work. The intelligent inspection data is easy to store and use for mining. Ithas a positive promoting effect on the digital transformation of natural environment experiments. |
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