证券日报网讯1月28日，广东宏大（002683）在互动平台回答投资者提问时表示，公司"悟空爆破大模 型"系基于通用大模型架构，汇集爆破和采矿领域期刊、视频、图片以及海量专业报告等亿级数据，具 备面向爆破行业场景可靠认知能力，涵盖炸药能量、炮孔设计、破碎能耗、安全管理等子模型，在专业 知识问答、爆破方案自动生成、安全保障等特定领域任务有着良好的处理能力。公司在内部矿山施工场 景对其不断进行训练和功能模型优化。"悟空爆破大模型"加速推动公司矿山智能化，进一步提升矿山施 工本质安全生产水平。 ...

Core Viewpoint - The article highlights the advancements in blasting technology led by Hongda Blasting Engineering Group, particularly focusing on precision blasting and the integration of artificial intelligence in mining operations. The company aims to transform traditional blasting methods into intelligent systems that enhance safety, efficiency, and environmental sustainability [1][2][3]. Group 1: Precision Blasting Technology - Hongda Blasting has developed the "Open-pit Mine Precision Step Blasting Technology," recognized as the only blasting technology in the Ministry of Natural Resources' directory for advanced applicable technologies [1]. - Over 30 years, the team has completed over 300 billion tons of mining and stripping rock projects, contributing significantly to national infrastructure and resource extraction [1]. Group 2: Intelligent Blasting Innovations - The company is working on second-generation intelligent blasting equipment and an AI model named "Wukong Blasting," aiming to create a fully integrated intelligent mining production chain [2][3]. - The establishment of China's first "Intelligent Blasting Research Center" and the world's first intelligent demonstration project for mining production chains showcases the company's leadership in the field [2]. Group 3: Technological Trends and Industry Advantages - The focus of technological innovation in the blasting industry is shifting towards intelligent, safe, efficient, and green practices, with an emphasis on AI and big data applications [3]. - Guangdong province's advantages in AI and robotics are highlighted as key to supporting the development of intelligent mining and low-carbon strategies [3]. Group 4: Safety and Efficiency Improvements - Intelligent equipment such as smart loading and filling vehicles enhances operational safety and efficiency by allowing for real-time parameter adjustments and automated processes [5]. - The development of the "Wukong Blasting" model leverages extensive data to improve the transparency and predictability of blasting operations, transitioning from "blind box blasting" to "transparent blasting" [5]. Group 5: Challenges and Recommendations for Industry - The article discusses challenges in standardizing industry practices, including the need for unified platforms and legal frameworks for intelligent blasting [7]. - Recommendations include establishing industry standards, enhancing collaboration between academia and industry, and creating a supportive environment for innovation [8][9]. Group 6: Future Aspirations - The vision for the future includes a scenario where mining operations can be conducted remotely and efficiently, with minimal human intervention [6]. - The company aims to foster a culture of innovation among its employees, encouraging them to transition from users of technology to active participants in the innovation process [14].