A smart fully mechanized coal mining working face is comprised of various heterogeneous equipment that work together in unknown coal seam environments. The goal is to form a smart operational system with comprehensive perception, decision-making, and control. This involves many work points and complex coupling relationships, indicating it needs to be performed in stages and coordinated to address key problems in all directions and along multiple points. However, there are no existing unified test or analysis tools. Therefore, this study proposed a virtual test and evaluation method for a fully mechanized mining production system with different smart levels. This is based on the concept of “real data processing–virtual scene construction–setting key information points–virtual operation and evaluation.” The actual operational data for a specific working face geology and equipment were reasonably transformed into a visual virtual scene through a movement relationship model. The virtual operations and mining conditions of the working face were accurately reproduced. Based on the sensor and execution error analyses for different smart levels, the input interface for sensing, decision-making, and control was established for each piece of equipment, and an operation evaluation system was constructed. The system comprehensively simulates and tests the key points of sensing decision-making and control with various smart levels. The experimental results showed that the virtual scene constructed based on actual operational data has a high simulation degree. Users can simulate, analyze, and evaluate the overall operations of the smart mining 2.0–4.0 working face by inputting key information. The future direction for the smart development of fully mechanized mining is highlighted.
A test and evaluation method for smart fully mechanized mining robot production system is proposed. Based on the actual operation data of the geology and equipment of a particular working face, the kinematic models between equipment and coal seam are established. The virtual off-line operation system of fully mechanized coal mining face is constructed. The mining situation of virtual operation of working face reproduced and the simulation initial data and virtual scene operation data are determined. The perception operation model is added to the virtual equipment and AI robot analysis system is constructed. Based on sensor error analysis, execution error analysis and other error analysis, the equipment and geological exploration means are input according to the parameters of smart development and operation in the future. The operation evaluation system of fully mechanized coal mining face which considers cutting track, straightness, working space and dynamic coal seam is constructed. The operation of fully mechanized mining robot in the future is simulated, the development trend is determined and the robot operation performance is tested. The related prototype system is developed, and the testing of the overall operation of the working face was improved from the aspects of smart equipment and digital sensing elements. It shows that this method realizes the reappearance of fully mechanized mining operation process based on actual operation data and operation parameters. The current level of smart mining and some local or a small aspect of technological progress on the overall operation of the working face are analyzed and evaluated. The test and evaluation method points out the direction for the development of coal mine robot and smart mining.
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