Slag-based filling body strength intelligent prediction system and method based on images

The invention provides an image-based slag-based filling body strength intelligent prediction system and method, and relates to the technical field of metal mine filling mining. A relationship is established between the color and the strength of the filling body mainly through image intelligent prediction, and then the in-situ mechanical parameters of the filling body are predicted, so that the purpose of rapidly and accurately completing in-situ mechanical parameter testing is achieved. According to the method, rapid strength detection can be carried out only by establishing the linear relation between the color of the filling body and the uniaxial compressive strength and the regression model for the first time, image acquisition, in-situ strength testing and a deep learning algorithm are organically combined, and the safety of the mine filling body is further integrally evaluated; and the technical development of mine safety assessment and risk identification is promoted. 本发明提供一种基于图像的矿渣基充填体强度智能预测系统及方法，涉及金属