含铬污染物治理与修复及铬资源循环利用研究进展

,例如通过高通量计算与ML模型预测具有高选择性和稳定性的铬吸附/固定材料;② 污染物监测与预警,利用ML结合AI实现对水体和土壤中Cr(Ⅲ)/Cr(Ⅵ)的实时监测。未来,智能算法有望与传统实验研究及理论计算深度融合,推动含
污染的治理与资源化利用迈向智能化与精准化的新阶段。部分图片图1 全球铬矿主要贸易情况[1]图2 铬在环境中的循环[8]图3 金属铬的处理方法[42]图4 TENG性能对比以及R-TENG自供系统示意[43]图5 ZnO@PVDF降解Cr(Ⅵ)机理[46]图6 JU-111结构及
本文作者:洁净煤技术

原文链接:http://m.toutiao.com/group/7665226337338868264/?upstream_biz=VolcEngine

对话淡水河谷中国区总裁:从巴西到中国,如何以创新技术重塑全球低碳钢铁产业链?|钢铁行业|全球经济|前海开源人工智能主题混合|铁矿石|可持续发展_手机新浪网

的范围一、二、三减排目标。其中,在价值链减排方面,淡水河谷通过创新技术如铁矿石压块和Tecnored技术支持钢铁行业脱碳,并与中国合作开展低碳冶金研究,并推动航运业减排。
谈及人工智能(Artificial Intelligence, 以下简称AI)应用,谢雪女士指出,淡水河谷正通过部署AI技术优化资源管理、碳减排和供应链效率,例如通过“智能矿山”项目降低卡车油耗和温室气体排放,以及利用AI预测矿石湿度以优化装船流程。
展望未来,谢雪女士强调淡水河
本文作者:新浪财经

原文链接:http://finance.sina.cn/2025-06-04/detail-ineywfyq2916493.d.html

Enhanced oxidation of Cr(III) with the mineral transformation of CrFe(OH) in the presence of Mn(II): overlooked process during the reoccurrence of Cr(VI) in reduced chromite ore processing residue. – National Genomics Data Center (CNCB-NGDC)

Jun 15, 2025;375

126327.
Enhanced oxidation of Cr(III) with the mineral transformation of CrFe(OH) in the presence of Mn(II): overlooked process during the reoccurrence of Cr(VI) in reduced chromite ore processing residue.
Shenhao Xie, Kunpeng Yang, Shuai Zhang, Jie Chen, Jiating Zhao, Lizhong Zhu
Author Information
Shenhao Xie: State Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, Zhejiang, 310058, China; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, Chin

原文链接:https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-40306403

Comparative Analysis of Selective Mining and XRT Sensor-Based Sorting for Copper Ore Pre-Concentration: Preliminary Studies Assessing Method Potential

amples sourced from different European mines at various stages of the mineral processing stream.
The application of complex sensor configurations, primarily involving X-ray Transmission (XRT), X-ray Fluorescence (XRF), and Short-Wave Infrared (SWIR) cameras integrated with artificial intelligence (AI) systems, significantly enhances the effectiveness of ore structure mapping and the differentiation of valuable components from waste material.
This innovative approach not only improves the quality of the pre-concentrate obtained but also minimizes material losses and reduces the environmental

原文链接:https://pdfs.semanticscholar.org/fd36/82f6b389eeaf4558a0780d0dd3e364a7d554.pdf

AI在矿山领域应用场景及发展趋势

一、AI矿山核心应用场景(覆盖勘探—开采—运输—选矿—安全—运维—环保全链条)(一)智能地质勘探与透明矿山建模1. AI地质解译无人机航拍、三维地震、随钻测井数据导入深度学习模型,自动识别断层、陷落柱、含水层、岩爆高危区,替代人工图纸判读,地质构造识别效率提升5倍以上 。2. 三维地质数字建模SLAM+激光雷达+AI视觉自动构建矿区实景三维模型,实时更新矿体边界、储量动态测算,实现“透明矿山”,精准预判开采扰动风险。3. 资源
本文作者:东阳讲矿山销售

原文链接:http://m.toutiao.com/group/7658092844447547930/?upstream_biz=VolcEngine

为矿业“骨架”披上生态“绿装”——中铁资源鹿鸣矿业践行“两山”理念,打造绿色矿山的生态实践稀有稀土-有色金属新闻-中国有色网-中国有色金属报主办

鹿鸣矿业尾矿库叠翠庭科技赋能重塑智能高效生产新范式数字孪生平台精准推演设备运转轨迹,让检修预判“未卜先知”;智能卡车调度系统动态规划最优运输路径,使矿运效率提升三成以上;钼光大模型深度解析海量生产数据,为决策提供 “智慧大脑”;智能巡检机器人循着预设轨迹穿梭作业面,将安全隐患“一网打尽”。走进鹿鸣矿业,这些充满现代科技感的应用场景,生动勾勒出传统矿业向绿色智慧矿山蝶变的鲜活图景。采矿厂TR100矿车作业这

原文链接:https://www.cnmn.com.cn/ShowNews1.aspx?id=467856

AI in Critical Minerals Drilling & Exploration: Top 5 Trends in 2026

Mining
AI in Critical Minerals Drilling & Exploration: Top 5 Trends in 2026
Marcus Rodriguez AI Author
9 May, 2026, 13:30 BST
Updated 26 May 2026
From AI-powered ore body modelling to autonomous drill rigs, five technologies are reshaping how the world finds and extracts the minerals that underpin the clean energy transition.
Executive Summary
LONDON, 8 May 2026 — The global race for critical minerals is intensifying at a pace that conventional exploration methods cannot match. Lithium demand is forecast to increase by 670% by 2040, cobalt by 420%, and copper by 156% compared with 2020 level

原文链接:https://business20channel.tv/ai-in-critical-minerals-drilling-exploration-top-5-trends-in-2026-08-05-2026

AI戴上“有色眼镜”,数智“铝”途迎来新变革

AI戴上“有色眼镜”,数智“铝”途迎来新变革
2025-12-06 来源:IntelMining
走进中铝材料应用研究院的金相分析实验室,屏幕上的铝合金显微组织图像正在被快速识别—— 原本需要 3-5分钟的人工分析,在 “金属智眼”系统的处理下, 不到3 0秒便完成了疏松、化合物等特征的精准标注,准确率高达99.5%。这是笔者近日探访中铝数智化转型现场的直观感受。当AI戴上专为有色金属行业定制的“有色眼镜”,中铝集团从矿石开采到材料加工的全产业链,正经

原文链接:https://intelmining2018.com/sys-nd/2482.html

强信心·走进百企|采选冶全链条迭代 老矿山走出绿色增效新路_新华网

2026 10/23 09:12:56
来源:新华网
强信心·走进百企|采选冶全链条迭代 老矿山走出绿色增效新路
2026-10-23 09:12:56 来源:新华网
航拍金鼎锌业10000吨/天硫化矿选厂厂区(9月20日摄)。新华网发(柳国娅 摄)
地处三江并流腹地的云南
达、GNSS设备,织就覆盖27平方公里的“空天地”立体边坡监测网,依靠实时数据提前识别地质风险。
此外,矿山内AI视频监控可自动识别现场违章,智能安全帽能集成人员定位、紧急呼救功能,全方位守护一线人员安全。
矿山同

原文链接:http://www.yn.news.cn/20261023/89e624926d3f4bf3b879cc07b3e4e0dd/c.html

Vale lança relatório inédito de PD&I e detalha como inovação já transforma a cadeia da mineração – Vale

a de decisão e ajudam a resolver problemas concretos da operação: prever condições climáticas, apoiar decisões de lavra, monitorar ativos críticos, otimizar frota marítima, reduzir consumo de insumos, melhorar previsibilidade logística e ampliar a segurança. Entre os exemplos estão o MinAInteligente, com IA aplicada à eficiência e previsibilidade na mina; o SabIA, IA generativa para busca de informações técnicas de exploração mineral; o PelotAInteligente, voltado à otimização da pelotização e redução do consumo de gás natural; e o VESO, simulador que combina produç

原文链接:https://vale.com/w/vale-lanca-relatorio-inedito-de-pdandi/-/categories/1968800