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"Research on Intelligent Agent Systems" is an international open-source Chinese journal focusing on the technological innovation and cross-disciplinary applications of intelligent agents. The published content mainly targets the research and development and industrial application fields of intelligent agent technologies, reflecting the core technological breakthroughs, innovative application models, and new theories and methods of cross-disciplinary integration of intelligent agent systems at home and abroad It serves researchers, engineering technicians and industry practitioners in the field of intelligent agents, facilitating technology transformation and professional quality improvement.
Journal scope Covering core technologies of intelligent agents (autonomous decision-making algorithms, multi-agent collaboration, reinforcement learning applications, etc.), research and development of intelligent agent systems (software-defined intelligent agents, embedded intelligent agents, humanoid robot systems, etc.), implementation of industry applications (industrial intelligent agents, medical intelligent agents, financial intelligent agents, urban governance intelligent agents, etc.), and interdisciplinary integration (intelligent agents and artificial intelligence, Internet of Things, etc.) Various academic achievements such as basic research, technology development, application practice, review and comment, case analysis, and patent interpretation in areas like blockchain, cross-application of digital twins, technical standards and security (ethical norms of agents, data security, system reliability, etc.), and cutting-edge exploration (general artificial agents, brain-computer interface agents, metaverse agents, etc.) Balancing theoretical depth and industrial value, it comprehensively serves academic innovation, technological iteration and industrial upgrading in the field of intelligent agents.
This journal is a high-standard academic publication that has undergone peer review. The editors encourage submissions that are related to this journal and have theoretical and practical contributions.
All manuscripts must not be plagiarized. The author is solely responsible for the content.
Guo Yifeng
Zibo Linzi Jintuo Mining Co., Ltd.，Zibo, Shandong，255400；
Abstract: As a key driver for the transformation and upgrading of modern mining, intelligent mining technology is profoundly reshaping traditional mining production models. This study focuses on "Design and Application Exploration of Intelligent Mining Systems," conducting in-depth discussions on the definition of the technology, its developmental trajectory, and practical application scenarios. Through comprehensive research on system architecture, core technologies, and algorithmic support, the study reveals the pivotal role of intelligent mining in enhancing production efficiency, strengthening safety monitoring, and optimizing resource management. Our in-depth research confirms the system's evident superiority in economic and social benefits while also identifying its limitations and providing targeted improvement recommendations. Looking ahead, with the continuous advancement of technology, intelligent mining systems are expected to further propel the mining industry toward digitalization and intelligence. This will provide robust support for achieving sustainable development goals and inject new vitality into the global mining sector.
Keywords: intelligent mining; automated control; data analysis; safety monitoring; sustainable development
References
[[1] Zhang Wei, Prunus salicina Qiang. Current Development Status and Trends of Intelligent Mining Technology[J]. Mining Engineering Research, 2022,37(5):45-51.
[2] Liu Yang, Chen Ming. Data-Driven Practices in Intelligent Mine Construction[J]. Coal Science and Technology, 2021,49(10):28-34.
[3] Zhao Gang, Sun Li. Research on the Application of Automation Control Technology in Intelligent Mining[J]. Mining Machinery, 2022,50(6):67-72.
[4] Prunus salicina Hua, Wang Fang. Analysis of the Role of Intelligent Technology in Mine Safety Management[J]. Journal of Safety and Environment, 2023,23(3):145-150.
[5] Zheng Xiaofeng, Wu Tao. Implementation Pathways of Data Analysis and Decision Support in Intelligent Mining Systems[J]. Geology and Exploration, 2021,57(8):98-104.
