智能图像技术在边坡监测的应用研究  

Research on the Application of Intelligent Image Technology in Slope Monitoring

作　　者：黄文德 黄家如 王雪帆 HUANG Wende;HUANG Jiaru;WANG Xuefan(Geohwa Safety Technology(Guangzhou)Co.,Ltd.,Guangzhou 511430,China;Guangzhou Baiyun International Airport Construction and Development Co.,Ltd.,Guangzhou 510403,China)

机构地区：[1]吉华安全技术(广州)股份有限公司,广州511430 [2]广州白云国际机场建设发展有限公司,广州510403

出　　处：《广东土木与建筑》2024年第3期6-8,13,共4页Guangdong Architecture Civil Engineering

摘　　要：为研究智能图像技术在边坡监测项目中的应用效果,验证智能图像技术在边坡监测中的可行性。针对智能图像技术中的图像特征点检测可依据图像二值化后识别、摄像头拍摄引起的图像畸形与图像矫正等原理做了算法分析和解释。根据某边坡项目,选取了4种不同情况下的数据进行分析,分别为不同温度下的监测数据、不同光照下的监测数据、每天同一时间段的监测数据、因暴雨产生位移的监测数据。结果表明:不同温度、不同光照均会对监测数据产生影响;且X方向的影响大于Y方向;温度在25℃左右时,影响最小;光照的强度对该系统存在影响,光照较弱时,数据影响较大,光照太强时,也存在影响,每天10点左右时的光照,对监测数据影响较小;每天同一时间段的监测数据稳定可靠;暴雨产生的位移通过人工用全站仪、水准仪复核,数据基本吻合。该结果可为之后的智能图像技术应用提供参考依据。To study the application effect of intelligent image technology in slope monitoring projects and verify the feasibility of intelligent image technology in slope monitoring.The algorithm analysis and explanation of image feature point detection in intelligent image technology can be based on the principles of image recognition after binarization,image deformations caused by camera shooting,and image correction.According to a slope project,four kinds of data under different conditions are selected for analysis,including monitoring data under different temperatures,monitoring data under different lights,monitoring data at the same time every day,and monitoring data of displacement due to rainstorm.The results showed that different temperatures and light conditions had an impact on the monitoring data;and the influence of the X direction is greater than that of the Y direction;The temperature is around 25 ℃,with minimal impact;The intensity of light has an impact on the system.When the light is weak,the data is more affected.When the light is too strong,there is also an impact.The light is around 10 o'clock every day;The monitoring data in the same time period every day is stable and reliable;The displacement caused by rainstorm is rechecked manually with total station and level,and the data are basically consistent.The results can provide a reference for the application of intelligent image technology in the future.

关 键 词：智能图像技术 图像特征点 图像矫正 边坡监测 边坡位移 

分 类 号：P234.1[天文地球—摄影测量与遥感]