透明工作面是目前智能化开采的重要研究方向，是实现无人化开采的重要途径。针对记忆割煤应用效果较差、传感器精度低、大数据融合应用率低、无法根据工作面地质条件变化进行自主感知、决策和调整等问题，开展了基于透明地质数据智能精准开采的研究与实践应用。通过钻探、巷道测量和槽波勘探等物探手段来构建较精准的透明工作面三维模型，提前规划截割模板，再联合应用惯性导航技术、雷达定位技术和大数据分析决策技术，来不断修正截割模板，最后通过井下精准控制中心来完成对采煤机和液压支架的精准控制。该技术将当前基于记忆截割的“智能开采1.0”阶段升级为基于透明地质规划截割的“智能开采3.0”阶段，实现由传统的记忆割煤向三维空间感知和自动截割的技术跨越，具有很强的适应性和实用性。

Transparent working face is currently an important research direction of intelligent mining and an important way to realize unmanned mining. Aiming at problems such as poor application effect of memory cutting, low sensor accuracy, low application rate of big data fusion, and it is unable to make independent perception, decision-making and adjustment according to the changesin the geological conditions of working face. Therefore, on the basis of the continuous progress of coal mine geological exploration means and exploration accuracy and the continuous progress of coal science and technology equipment level,the application of “intelligent and accurate mining based on transparent geological big data” technology has been explored to further improve the company’s intelligent mining technology level.Through geophysical exploration methods such asdrilling, roadway surveying and groove wave exploration and other geophysical means to build a more accurate three-dimensional model of the transparent working face, plan the cutting template in advance, and then jointly apply the inertial navigation technology, radar positioning technology and big data analysis and decision-making technology to continuously correct the cutting template, and finally complete the precise control of the shearer and hydraulic support through the underground precision control center. This technology upgrades the current “intelligent mining 1.0” stage based on memory cutting to “intelligent mining 3.0” stage based on transparent geological planning cutting,realizing the technological leap from traditional memory cutting to three-dimensional spatial perception and automatic cutting, which has strong adaptability and practicability