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CGTN’s Mike at Dexing: AI Sorting Turns Waste Ore to Gold
China
17:58, 21-Sep-2026
CGTN
CGTN’s Mike Walter visited the Dexing Copper Mine in Jiangxi and witnessed a transformation driven by AI-powered ore sorting. Independently developed in China, the intelligent optical-electronic sorting equipment can accurately separate ore from waste rock at a speed of 300 tons per hour, turning previously useless low-grade ores into economically viable resources. This innovation not only significantly improves the recovery rate of key materials, but also reduces mining costs and reliance on imports, there

原文链接：https://news.cgtn.com/news/2026-09-21/CGTN-s-Mike-at-Dexing-AI-Sorting-Turns-Waste-Ore-to-Gold-1QCtEVZLj56/p.html

立足10余年生产工艺积累，以多类高精度在线检测设备为数据基础，建设研发智能化选矿专家系统，结合“钼光”AI大模型选矿助手模块，可对选矿核心指标异常进行智能诊断，输出针对性的工艺优化建议，辅助技术人员快速处
作工只需要复核确认，调控精度能控制在2%以内，劳动强度降了，指标却更稳了。”
预判式运维替代被动抢修
大型采选设备的稳定运行，是矿山稳产增效的核心根基。传统矿山设备管理多采用“事后抢修、定期检修”的模式，突

原文链接：https://www.chinania.org.cn/html/hangyexinwen/guoneixinwen/2026/0827/61845.html

国内首个AI智能光电分选铁矿项目依托AI智能算法+光学识别核心技术，构建“光谱扫描—轨迹识别—精准喷选”全流程智能分选体系，可有效提升低品位铁矿资源利用率，经济效益显著。该项目投产一年来稳步推进产能释放，2025年4—6月完成生产质量整改，7—9月加速产能爬坡，全年产出TFe≥38%预选精矿8.05万吨，可再加工铁精粉约3万元。作为国内铁矿石智能分选领域的标志性工程，其实现选矿工艺革新，成功申请《一种低品位铁矿块矿富集的预选工艺

原文链接：https://changjiang.hainan.gov.cn/changjiang/mtkcj/202603/6cc2b26ff7a84c62808ce64e59fb4ef0.shtml?ddtab=true

2026-03-22 09:10:10
来源：海南日报
石碌铁矿光电选矿项目效益显现
2026-03-22 09:10:10 来源：海南日报
原题：石碌铁矿光电选矿项目效益显现
AI技术助跳汰尾矿变废为宝
海南日报全媒体记者近日从海南矿业获悉，作为国内首个落地AI智
能光电分选技术的铁矿石选矿项目，海南矿业石碌铁矿光电选矿项目自2025年3月投产以来，历经调试整改、产能爬坡实现稳定运行，2025年累计处理原矿67.26万吨，创效近400万元，以数智化技术推动低品位铁矿高效利用，为我省矿业

原文链接：http://hq.news.cn/20260322/796bff93eed3454c8c609f47049eb4d5/c.html

高标准建设海南自由贸易港｜填补国内空白！海南矿业AI智能光电分选技术赋能铁矿智能化升级
2026-03-20 21:51
来源： 昌江县融媒体中心
发文机关： 昌江县委宣传部
作为国内首个将AI智能光电分选技术应用于铁矿石选矿领域的项目
，海南矿业石碌铁矿光电选矿项目自投运以来运行稳定、成效突出，通过智能识别、精准分选，实现低品位铁矿资源高效回收利用，为全国铁矿行业智能化升级提供了可复制、可推广的实践样本。
海南矿业石碌铁矿光电选矿项目

原文链接：https://changjiang.hainan.gov.cn/changjiang/jrcj/202603/61fa79e55b0c489aa35ac470dc947ebc.shtml

ORIGINAL RESEARCH article
Front. Earth Sci., 27 June 2025
Sec. Georeservoirs
Volume 13 – 2025 | https://doi.org/10.3389/feart.2025.1623905
ORIGINAL RESEARCH article
Front. Earth Sci., 27 June 2025
Sec. Georeservoirs
Volume 13 – 2025 | https://doi.org/10.3389/feart.2025.1623905
A sustainable approach to deep geothermal energy exploitation: feasibility of clustered U-shaped multi-branch wells
Tao Xu 1,2
Shouding Li 1,2 *
Z
Z
Zhaobin Zhang 1,2 *
Yanlong Kong 3,2
B
Z
Bo Zheng 1,2
Shiwei Ma 1,2
S
Z
Supeng Zhang 1,2
J
H
Jianming He 1,2
X
L
Xiao Li 1,2
1. Key Laboratory of Deep Petroleum Intelligent

原文链接：https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2025.1623905/full

Science, PUCC, Pondicherry University, Pondicherry, India.
2 Department of Computer Science, Pondicherry University, Pondicherry, India.
DOI: 10.4236/jcc.2025.134002 PDF
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Views Citations
Abstract
An ancient fossil fuel, oil is a crucial energy source for various daily activities, such as electricity generation and vehicle operation. However, its ship transportation poses a significant threat to the marine ecosystem. Oil spills into seawater, harming sea creatures and endangering human life in the event of an accident. The frequency of such oil pollution inci

原文链接：https://www.scirp.org/JOURNAL/paperinformation?paperid=141987

nergy extraction due to their abundant reserves. However, exploitation of the resources is fraught with complexity and technical challenges arising from their unique characteristics of high temperature, high strength, and low permeability. With the continuous advancement of artificial intelligence (AI) technology, intelligent algorithms such as machine learning and evolutionary algorithms are gradually replacing or assisting traditional research methods, providing new solutions for HDR geothermal resource exploitation. This study first provides an overview of HDR geothermal resource exploitati

原文链接：https://journal.hep.com.cn/duse/EN/10.1002/dug2.70018

型技术，建成统一的企业专属智能知识库，归集管理制度、操作规范、运维案例等核心资产。一线员工通过语音或文字即可实时查询，将原本半小时的
慧公用事业方向，持续深化AI技术与主业融合，加速由传统燃气保供运营商向AI赋能的美好生活保障者迭代升级，以数字科技守护城市燃气安全生命线，赋
能城市高质量发展，彰显国企担当与民生温度。”青岛能源集团泰能天然气有限公司副总经理、安全总监李华章说。（青岛日报/观海新闻记者 王冰洁）
本文作者：掌上青岛

原文链接：http://m.toutiao.com/group/7658117583123595816/?upstream_biz=VolcEngine

DOI: 10.1016/j.rser.2026.117396
Corpus ID: 291780327
A critical review of AI applications in geothermal energy: From reservoir exploration to power generation
Osama Baig, Jun Wang, +8 authors Wen-Jie Qin
Published in Renewable & Sustainable…
Environmental Science, Engineering
158 References
158 References
Artificial intelligence empowering geothermal energy development: A full-lifecycle review from exploration to operation
Shan Kun Liang-Han Cong Zi-Wang Yu Xiao-Qi Ye
Environmental Science, Engineering
Renewable & Sustainable Energy Reviews
2026
Graph neural network for multi-physics geothe

原文链接：https://www.semanticscholar.org/paper/A-critical-review-of-AI-applications-in-geothermal-Baig-Wang/589fa838ba161661c92530e8b6be9dc6e208f586