Research On Array Sensors In Landslide Prediction

Due to its hidden and sudden nature,landslides have caused serious harm to human production and life.They have attracted the attention and research of people from all walks of life,and the landslide monitoring instruments have gradually become more intelligent.Most of the landslide monitoring instruments in China have relatively simple monitoring information and low degree of automation.Therefore,this topic studies the array sensors for landslides.This paper starts from the landslide analysis landslide factors and landslide stage,combines the current landslide monitoring technology and instruments,and elaborates the scheme and implementation process of this topic.The paper focuses on the three-dimensional model of array sensor construction,array sensor monitoring point data processing algorithm,array sensor monitoring point displacement prediction,hardware circuit and software program.In the research program,the design of the array sensor structure,data transmission,and power supply is based on the application scenarios of the array sensor and the requirements that need to be met.In the construction of the three-dimensional model of the array sensor,the coordinates are determined based on the pose relationship between the monitoring points of the array sensors,thereby constructing the three-dimensional model.Array sensor monitoring point data processing includes angle calculation,noise filtering and temperature compensation.The angle solution uses the AHRS attitude algorithm,which is obtained by combining the quaternion and Euler angles.Considering the influence of random noise on the data and the influence of temperature on the related data,the Kalman filter algorithm is used to reduce the interference of random noise of the array sensor's angle data,and the least squares polynomial data fitting algorithm is used to compensate the temperature of the impedance.The array sensor monitoring point displacement prediction predicts the displacement data by establishing a gray Verhulst model.According to the research plan and related indicators for hardware design,the hardware includes array sensor monitoring point structure,data remote transmission and power supply part.The array sensor monitoring points include an impedance monitoring module,an attitude monitoring module,and a temperature and humidity monitoring module.In the laboratory,the landslide model platform was built independently for testing,and the parameters of the array sensor were calibrated by high-precision instrumentation to meet the requirements of the index.