智能协同计算:技术演进、前沿挑战与未来图景

Intelligent collaborative computing: Technical evolution, frontier challenges and future prospects

  • 摘要: 面向无人化、智能化现场业务环境中的智能无人体系协同作业,针对异构算力分散、模型协同困难、信息保障低效等问题,梳理了智能协同计算领域的研究进展与技术体系。着眼智能协同计算技术从单元到体系的多层内涵,该文构建了一个包含“核心技术体系−多目标优化−领域应用与价值”的三维综述框架。通过分析,归纳出智能算力效能增强、智能模型计算协同、信息智能融合编织三大核心技术方向,系统阐述了各方向的技术内涵、研究范畴与关键挑战;分析了面向时延、能耗、精度、可靠性等维度的多目标优化策略;同时从军事作战、应急管理、城市治理、工业生产等典型领域分析其应用与价值。利用该三维分析框架,阐述了智能协同计算技术的演进规律,指出了其在核心方法、多目标优化、领域应用与价值释放方面面临的技术挑战和未来研究方向,为解决现有方法的问题提供参考,有助于智能协同计算技术的进一步发展。

     

    Abstract: Focusing on intelligent unmanned system collaborations in unmanned and intelligent on-site business environments, this paper addresses dispersed heterogeneous computing power, difficult model collaboration, and inefficient information support, and reviews research progress and the technical system of intelligent collaborative computing. A three-dimensional review framework of “core technology system, multi-objective optimization, and domain applications and value” is constructed. Three core technical directions are summarized: intelligent computing power efficiency enhancement, intelligent model computing collaboration, and intelligent information fusion and weaving. The technical connotations, research scope, and key challenges of each direction are systematically elaborated. Multi-objective optimization strategies targeting latency, energy consumption, accuracy, and reliability are analyzed. Domain applications and value are further examined in military operations, emergency management, urban governance, and industrial production. This framework describes the evolutionary patterns of intelligent collaborative computing and identifies technical challenges and future directions in core methods, multi-objective optimization, and domain applications and value, providing a reference for its further development.

     

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