边坡光纤光栅监测与自适应卡尔曼滤波模型  

Monitoring of fiber Bragg grating for slope surface and adaptive Kalman filtering model

作　　者：王渊[1] 赵振刚[1] 许俊飞 彭李[1] 熊新[1] 李川[1] 

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650500

出　　处：《传感器与微系统》2017年第1期38-40,44,共4页Transducer and Microsystem Technologies

摘　　要：山地变电站往往建设在地质条件复杂性的位置。地表裂变,突起,土体缓变,往往诱发更严重的地质灾害。结合楚雄220 k V边坡变电站的工程实际情况,利用光纤Bragg光栅(FBG)传感器,进而实现了对大型复杂结构环境的多参量、多点监测。通过建立自适应卡尔曼跟踪滤波模型,对边坡表面应变传感器,温度补偿传感器的数据,进行跟踪滤波,从而得到更为有效的监测数据。Mountain electric substations are always built in the location of the complex geological conditions. Surface cracking, bluging, and soil slowly changing often induce more serious geological disasters. In combination with the engineering practice of Chuxiong 220 kV substation on the slope, fiber Bragg grating （FBG） sensors are used to realize the multi parameters monitoring and multi points monitoring of large complex structure environment. Through the establishment of adaptive Kalman tracking filter model ,tracking filtering on slope surface strain sensors data and temperature compensation sensors data is carried out, and thus get more effective monitoring data,

关 键 词：光纤BRAGG光栅 自适应卡尔曼滤波 边坡 数据融合 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]