DOI: 10.11799/ce202508015
Water level detection of underground mine water sump based on multi-sensor fusion and DeepLabv3+algorithm
WANG Deji
WANG Yanfei
YANG Kaile
MA Ping
ZHAO Junda
LIU Tao
Abstract：In order to improve the accuracy of water level detection results in the underground water sump,a mine water level detection method based on multi-sensor fusion and DeepLabv3+algorithm is proposed.Firstly,ultrasonic liquid level sensors,input type liquid level sensors,temperature sensors,and CCD visual sensors are select to obtain data of water level height variation of the mine water sump;Then,frequency domain feature correction is applied to the sensing signal,and the mixed Kalman particle filter algorithm is used to fuse the collected multi-sensor data;Finally,the DeepLabv3+algorithm is used to process the fused data,a water level detection model based on DeepLabv3+is constructed to achieve water level detection.Through experiments,it is known that in the stage of both rising and falling of water level,the proposed method's detection results are very close to the actual results,with an error of no more than 0.2 m.The detection range can reach over 9.7 m3,and the detection accuracy can be maintained at 78%～89%.Under the condition of gradually increasing interference values,the error for water level detection in the water sump is 0.21～0.35 m,showing high detection accuracy and good application effect.
Keywords：DeepLabv3+algorithmlinear proportional relationshipwheatstone bridgehybrid kalman particle filter algorithmwater level detection model
Publication Date：2025-08-20
Online Publishing Date：2025-09-10(First online date of this platform, not the publication date of the document)
Pages：7( 105-111 )