面临碳达峰碳中和(“双碳”)目标的严峻挑战，煤矿智能化是新时期煤炭产业高质量可持续发展的必由之路和重要标志。矿井地质工作为地下煤矿开采提供地质基础和保障，在煤炭产业转型升级高质量发展中的重要性将日益增强。通过“矿井地质+人工智能”，构建“矿井开采智能地质保障技术体系”，为矿井安全高效绿色智能开采提供全方位和全过程地质保障，是新时期矿井地质工作契合煤矿智能化建设目标的发展方向与必然趋势，必将成为助推矿井地质工作提质增效的新质生产力。

在探讨矿井开采智能地质保障技术体系科学内涵的基础上，初步搭建了矿井开采智能地质保障技术体系架构，并对构成该技术体系的5个子体系：基础地测信息智能化管理、矿井地质灾害的智能化预测预警、矿区生态环境的智能化监测预测预警、开采有利区块的智能化辨识、透明工作面子体系，及其核心工作模块进行系统梳理。

同时特别强调，在地质探测、检测技术手段不断进步的前提下，矿井开采智能地质保障技术体系的有效性取决于原始数据的准确性和可靠性，归根结底取决于地测人员的数量和专业素养，呼吁进一步加强矿井地质专业人才的引进与培养。

In response to the serious challenges posed by the goals of peak carbon dioxide emissions and carbon neutrality, the intelligentization of coal mines is an inevitable course and a significant sign of the high-quality, sustainable development of the coal industry in the New era. Mine geological work, providing geological foundation and guarantee for underground coal mining, plays an increasingly significant role in the transformation and upgrading of the coal industry for high-quality development. Constructing an intelligent geological guarantee technology system for coal mining by combining mine geology with artificial intelligence (AI) can provide a comprehensive, whole-process geological guarantee for safe, efficient, green, and intelligent coal mining. Therefore, building such a technology system represents the development target and inevitable trend for mine geological work to match the goal of the intelligent construction of coal mines in the new era. The technology system will surely become the novel productivity that boosts the quality and efficiency of mine geological work.

By exploring the scientific connotation of the technology system, this study preliminarily established the architecture of the technology system. Then, this study systematically sorted the five subsystems of the technology system (i.e., the intelligent management subsystem for fundamental geological survey information, the intelligent prediction and early warning subsystem for geologic hazards in mines, the intelligent monitoring, prediction, and early warning subsystem for ecosystems in mining areas, the intelligent identification subsystem for favorable mining blocks, and the transparent mining face subsystem), as well as their core modules.

Notably, with the constant advancements in technologies for geological explorations and detections, the effectiveness of the technology system depends on the accuracy and reliability of original data, ultimately relying on the number and professional quality of personnel engaged in geological surveys. Therefore, it is necessary to further strengthen the introduction and cultivation of professionals in the field of mining geology.