智能巡检机器人在自然环境试验中的应用探讨

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。

Discussion on Application of Intelligent Inspection Robots in Natural Environment Experiments

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.