Intelligent Experimental Device for Multi-Field Coupling Simulation
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Solution Overview
Problem
Current experimental devices lack the capability for safe, efficient, and green development of associated resources like coal, uranium, and oil-gas, particularly in simulating the multi-field coupling evolution characteristics of stress, fracture, and seepage fields in rock strata, which is crucial for collaborative mining.
Innovation Solution
An intelligent experimental device with a signal transmission mechanism, pressure maintaining mechanism, and feeding mechanism that controls and maintains preset conditions in uranium, coal seam, and oil-gas cavities, utilizing a centralized controller, pressure distribution pipes, monitoring analyzers, and shearing gaskets to simulate realistic mining conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional experimental devices are used for associated resources, then the device structure is simple, but the capability to simulate multi-field coupling evolution characteristics of stress field, fracture field and seepage field is insufficient
Solution Approach 1:
The experimental device is divided into multiple independent functional modules including pressure control system, fluid injection system, monitoring system, and control system. Each module can independently control specific parameters (stress, seepage, temperature) while working together to simulate multi-field coupling, thereby enhancing adaptability without overwhelming complexity.
Solution Approach 2:
The device integrates multiple functions into a single experimental platform capable of simulating stress field, fracture field, and seepage field simultaneously. The unified control system can manage various experimental conditions and parameters, making the device versatile for different collaborative mining scenarios while maintaining a coordinated structure.
2Manufacturing precision
If manual control methods are used for experimental parameters, then the operation process is simple, but the precision and efficiency of reaching preset values is low
Solution Approach 1:
The control system continuously monitors experimental parameters through sensors and automatically adjusts pressure, fluid injection, and other conditions to maintain preset values. This closed-loop feedback mechanism ensures high precision in reaching and maintaining target parameters while reducing manual intervention.
Solution Approach 2:
The system automatically controls experimental parameters through programmed sequences and self-regulating mechanisms. The control device can independently manage the experimental process, adjust parameters, and maintain conditions without constant manual operation, thereby improving both precision and efficiency.
3Measurement precision
If comprehensive monitoring systems are installed in cavities, then the measurement capability is enhanced, but the device complexity increases
Solution Approach 1:
Multiple monitoring functions (stress, temperature, fluid pressure, deformation) are integrated into a unified monitoring system with centralized data acquisition and processing. This consolidation enhances measurement capabilities across all parameters while avoiding the complexity of separate independent monitoring systems for each parameter.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables intelligent, controlled collaborative mining by ensuring precise pressure and temperature conditions, monitoring, and feedback-driven adjustments, enhancing the safety and efficiency of resource extraction while protecting the ecological environment.
Implementation Method 1
The ambient pressure oil chamber and the axial pressure oil chamber are respectively and directly connected to the ambient pressure pump and the axial pressure pump through the hydraulic transmission pipes
Implementation Method 2
the shearing gaskets are arranged inside the cavities
Implementation Method 3
the thermohydraulic sensors are installed at the front, middle and back positions of the uranium mine cavity, the coal seam cavity and the oil-gas cavity
Data Source
AI summary
An intelligent experimental device for collaborative mining of associated resources includes a signal transmission mechanism, a pressure maintaining mechanism, a feeding mechanism, and a reaction mechanism. The signal transmission mechanism includes a centralized controller, an annunciator, signal receivers, a power supply, a power cord, signal transmitters, and signal sensing valves. The pressure maintaining mechanism includes ambient and axial pressure oil chambers, ambient and axial pressure pumps, ambient and axial pressure liquid distribution tanks, a comprehensive pressure distribution pipe, and hydraulic transmission pipes. The feeding mechanism includes monitoring analyzers, temperature controllers, solution transfer pipes, seepage pumps, mixture conveying pipes, a comprehensive liquid distributor, an aggregate chamber, a liquid chamber, an oil chamber, a gas chamber, a mixing chamber and an analytical purifier. The reaction mechanism includes a uranium mine cavity, a coal seam cavity, an oil-gas cavity, nuclear magnets, thermohydraulic sensors, and shearing gaskets.