Workflow
Non - ferrous Metals Mining
icon
Search documents
紫金矿业:2023年激励计划首行权期已行权1220万股
Xin Lang Cai Jing· 2026-01-05 10:11
紫金矿业公告称,2023年股票期权激励计划第一个行权期可行权时间为2025年12月8日至2026年12月7 日,可行权数量1310万股。截至披露日,累计已行权并过户1220万股,占本期可行权总量的93.13%。 符合行权条件的激励对象共12人,其中11人已完成行权,1人因避免触发短线交易尚未行权。本次行权 股票来源为公司定向发行的A股普通股,上市流通数量1220万股。行权后公司股份总数增加至265.90亿 股,控股股东、实际控制人未变,募集资金1.36亿元将用于补充流动资金。 ...
安徽移动:5G赋能 走出“数智化”转型路
Core Insights - The collaboration between China Mobile Anhui and Zhangzhuang Mining has led to the implementation of a 5G+ intelligent mining system, enabling fully automated operations underground without personnel involvement [1][2][4] - The integration of "cloud-side AI models and mining enterprise AI edge models" has addressed industry challenges and facilitated high-quality development for Zhangzhuang Mining [1][4] - The deployment of a comprehensive 5G smart mining area and intelligent monitoring systems has enhanced both safety and efficiency in production processes [1][2] Summary by Sections - **Automation and Cost Reduction** - The previous requirement for a driver for each electric vehicle has been eliminated, significantly reducing labor costs and enhancing safety in underground operations [2] - Autonomous vehicle operation and real-time data uploading have improved operational efficiency [2] - **Intelligent Monitoring and Efficiency** - The intelligent monitoring system acts as the "nerve center" for safety, while the smart transformation of core production processes serves as the "wisdom engine" for efficiency [2] - The mining big model developed can recognize 21 different underground scenarios, adapting to low-light and high-dust conditions [4] - **Future Directions and Industry Impact** - The initiative demonstrates the potential of combining 5G and industrial internet technologies to drive cost reduction, efficiency enhancement, and quality upgrades in traditional industries [4][5] - China Mobile Anhui aims to deepen the integration of "5G+AI" technologies across various sectors, contributing to the digital and intelligent transformation of traditional enterprises [4][5]