Intelligent adaptive monitoring and control system for high-pressure jet excavation

An intelligent adaptive monitoring and control system for high-pressure jet excavation, characterized by comprising a jet rock-breaking dynamic monitoring module, a rock mass analysis and data processing module, a neural network deep learning module, and an mining and excavation machine controller;

• the jet rock-breaking dynamic monitoring module is configured to:
• acquire jet parameters and calculate jet axial reaction force;
• acquire the three-dimensional topography of the excavation face;
• and acquire cutting and fracture morphology;
• wherein the three-dimensional topography of the excavation face at least includes cutting depth information;
• the rock mass analysis and data processing module is configured to:
• acquire the three-dimensional coordinates of the excavation machine in the working environment;
• calculate rock mass confining pressure;
• and acquire rock mass characteristics;
• the neural network deep learning module is configured to:
• collect and store historical and real-time data of jet parameters, jet axial reaction force, three-dimensional topography of the excavation face, and cutting and fracture morphology, to establish a dynamic evaluation model for jet cutting status and effectiveness;
• collect and store historical and real-time monitoring data of the three-dimensional coordinates of the excavation machine in the working environment, rock mass confining pressure, and rock mass characteristics, to establish a dynamic evaluation model for safety risks and rock mass data;
• based on historical and real-time monitoring data of jet parameters, cutting depth information, and rock mass characteristics, establish a cutting effectiveness evaluation model for different lithologies;
• based on the dynamic evaluation model for jet cutting status and effectiveness, the dynamic evaluation model for safety risks and rock mass data, and the cutting effectiveness evaluation model for different lithologies, using fragmentation size, cutting depth, and surrounding rock deformation as objective functions, establish a database of jet cutting process parameters and establish an intelligent model correlating jet cutting process parameters with excavation process parameters;
• the mining and excavation machine controller is configured to:
• based on real-time monitoring data from the jet rock-breaking dynamic monitoring module and the rock mass analysis and data processing module, combined with the intelligent model correlating jet cutting process parameters with excavation process parameters, determine the optimal position and posture of the excavation machine and jet cutting mechanism, and optimal jet parameters, and generate excavation machine control instructions.