新工科背景下智能采矿人才培养路径研究

Research on the Training Path of Intelligent Mining Talents under the Background of Emerging Engineering

摘要: 采矿业作为“工业之母”，是国民经济的基础性支柱产业，其智能化、无人化转型升级是保障国家能源安全、落实“双碳”目标的重要举措。新工科建设聚焦工科教育革新，以产业需求为导向，旨在培养适应新产业、新技术的复合型工程人才。当前，我国高校采矿工程专业人才培养模式滞后，与智能矿山行业需求脱节，难以满足复合型智能采矿人才的迫切需求。本文立足国内高校采矿工程专业建设现状，梳理新工科背景下智能采矿人才培养的核心要求，剖析当前人才培养中存在的实习基地智能化不足、理论与实践融合不深、学科交叉不够、师资适配性差等问题，结合行业发展实际与产教融合政策，提出针对性的培养路径，为采矿工程专业转型升级、实现人才精准供给提供实践参考，助力我国矿业智能化绿色化转型。

Abstract: As the “mother of industry”, the mining industry is a fundamental pillar industry of the national economy. Its intelligent and unmanned transformation and upgrading are important measures to ensure national energy security and implement the “dual carbon” goals. The construction of new engineering disciplines focuses on the reform of engineering education, guided by industry demand, aiming to cultivate composite engineering talents who can adapt to new industries and technologies. Currently, the talent cultivation model for mining engineering majors in Chinese universities lags behind and is disconnected from the needs of the intelligent mining industry, making it difficult to meet the urgent demand for composite intelligent mining talents. This article is based on the current situation of mining engineering major construction in domestic universities, and summarizes the core requirements for intelligent mining talent cultivation under the background of new engineering disciplines. It analyzes the problems of insufficient intelligence in internship bases, shallow integration of theory and practice, insufficient interdisciplinary cooperation, and poor adaptability of teaching staff in current talent cultivation. Combined with the actual development of the industry and the policy of industry education integration, targeted training paths are proposed to provide practical references for the transformation and upgrading of mining engineering majors and the precise supply of talents, and to help China’s mining industry transform into intelligent and green industries.