智能化時代中國協同作戰軍事發展趨勢分析

現代英語：

Operational coordination is a key element in modern warfare for achieving system-of-systems operations, unleashing overall effectiveness, and achieving operational objectives. In recent years, with breakthroughs in military science and technology, particularly artificial intelligence, the empowering and efficiency-enhancing role of technology has become increasingly prominent. While profoundly changing the nature of warfare and operational styles, it has also given rise to a new operational coordination model—autonomous coordination. Currently, we should scientifically grasp the opportunities and challenges of the new military revolution, dynamically coordinate the development of autonomous coordination, and thus accelerate the transformation and upgrading of operational methods.

Transforming towards intelligent empowerment and autonomous collaboration

Future warfare will be a comprehensive confrontation between opposing sides employing “human + intelligent equipment.” Limited by military technology, system platforms, and combat capabilities, traditional combat coordination, with its fixed cycles and low fault tolerance, is no longer suitable for the rapidly changing modern battlefield. With the powerful support of advanced technologies such as artificial intelligence and big data, the autonomy and automation of combat coordination will be greatly enhanced, and intelligently empowered autonomous coordination will become key to victory.

Wide-area ubiquitous collaboration. In recent years, the profound development of communication and intelligent technologies, along with the accumulation and superposition of data, algorithms, and computing power, has promoted the interconnection and aggregation of people, machines, things, and energy. This has extended the military Internet of Things (IoT) to many fields such as situational awareness, command and control, information and fire strikes, and logistical support. While promoting the iterative upgrading of combat capabilities, it has also provided more options for modern combat collaboration. It is foreseeable that the military IoT will shine on the future battlefield, serving not only as a key infrastructure supporting combat operations but also as a crucial hub for maintaining combat collaboration. Based on this, ubiquitous warfare characterized by wide-area dispersion of forces, modular organizational structures, and highly coordinated actions will emerge, characterized by being omnipresent, ubiquitous, and autonomous without control.

Deep human-machine collaboration. In the Nagorno-Karabakh conflict, the Azerbaijani army leveraged its drone advantage to build a strong battlefield advantage, marking the beginning of “robot warfare.” In future warfare, unmanned combat forces such as drones, unmanned vehicles, and unmanned ships are rapidly moving from back-end support to the front lines, becoming the “protagonists” of the battlefield. Compared to traditional combat collaboration, manned-unmanned intelligent collaboration exhibits characteristics such as decentralized command, de-division of labor in combat processes, advanced skill operation, and blurred lines between the front and rear, placing greater emphasis on human-machine collaboration and algorithmic victory. Especially in recent years, intelligent unmanned swarms have emerged as a powerful force, strongly impacting the modern battlefield. Faced with these new situations and changes, we should comprehensively utilize swarm formation algorithms, formation control algorithms, and complex scenario optimization algorithms to promote networked communication and intelligent collaboration between unmanned and manned systems, facilitating the integrated operation of the intelligence chain, command chain, mobility chain, strike chain, and support chain, and accelerating the generation of comprehensive precision-based combat capabilities.

Data-driven collaboration. The traditional operational collaboration model under hierarchical command is no longer suitable for the multi-dimensional and fast-paced nature of modern warfare. In future warfare, intelligence is key, and data is king. The deep integration of big data, cloud computing, and artificial intelligence enables the storage, analysis, fusion, and application of massive amounts of battlefield data, making command and control more scientific and operational collaboration more efficient. Leveraging powerful resource integration, computing power, and data analysis capabilities, battlefield intelligence can be rapidly integrated, battlefield situation awareness can be achieved in real time, collaborative plans can be efficiently formulated, and threat levels can be assessed instantly. This allows for the integrated planning of predicting combat actions, analyzing typical scenarios, deploying combat forces, and allocating combat resources, thereby comprehensively improving the overall effectiveness of command and control, firepower strikes, and integrated support, and driving a revolutionary change in operational collaboration.

Towards Multi-Domain Collaborative Autonomous Evolution

Future warfare will feature complex and diverse participating forces, a mix of advanced and less sophisticated weaponry, and a hybrid application of combat methods. It will exhibit distinct characteristics such as intelligent, dynamically decentralized command and control, intelligent and wide-area deployment of combat forces, and intelligent allocation and dynamic differentiation of combat missions. It is foreseeable that multi-domain联动 (interconnected and autonomous) collaboration will become a crucial component of operational coordination.

System self-restructuring and collaboration. Future warfare will involve a multi-domain battlefield space that combines virtual and real elements, with diverse military operations interacting and constraints and collaboration shifting randomly. Only an engineered and systematic organizational model can adapt to the complex needs of multi-domain collaboration. The essence of this collaboration model is to form a wide-area holographic support architecture for system self-restructuring and collaboration. Specifically, this means emphasizing the concept of system-of-systems warfare, comprehensively resolving practical contradictions in organizational system construction, institutional mechanism establishment, and collaborative rule formulation; focusing more on the system integration effect, achieving beyond-visual-range and cross-domain collaborative operations for combat units across a wide area; emphasizing efficient and flexible command, refining command relationships and clarifying command responsibilities from multiple dimensions; and paying more attention to data-driven precision, integrating network system platforms at all levels to establish a dynamic optimization network for reconnaissance, control, strike, assessment, and support missions. Once this collaboration model is formed, it will undoubtedly be able to analyze and predict typical confrontation scenarios based on the operational environment, adversaries, and missions, dynamically select action collaboration links, and plan operational actions across various domains in an integrated manner.

Tactical Adaptive Collaboration. Recent local wars have repeatedly demonstrated that the complexity and systemic nature of operational collaboration have increased exponentially due to the extension of operational data and information sharing to the tactical level. Only by achieving efficient processing, integration, and sharing of operational data and information can adaptive and autonomous collaboration among operational users be guaranteed. This collaborative model places greater emphasis on scientific planning and innovative methods to form a universal battlefield situation map with full-dimensional coverage. It supports hierarchical, cross-level, and cross-domain sharing and collaboration among users deployed across a wide area, enabling command elements and operational units to jointly perceive the battlefield situation and ensuring self-synchronous operations within a unified strategic intent, operational guidance, and collaborative planning framework. This collaborative model further emphasizes vertical integration of strategy, operations, and tactics, and horizontal integration of land, sea, air, space, and cyberspace. It provides powerful information sharing services in detection, early warning, and surveillance, and promotes the extension of operational-level joint operations to tactical-level joint operations through information media. This collaborative model further highlights the standardized operation of command and control, and the use of cutting-edge technologies such as big data and cloud computing to promote the connection of operational command levels, cross-domain linkage, element interaction, and situational awareness sharing. It achieves intelligent collaboration among command systems, weapon platforms, and sensors, and implements the key to victory through speed.

Complementary and Synergistic Advantages. In future warfare, operations in space, cyberspace, and other domains will be deeply integrated into the traditional battlefield, requiring higher standards and more stringent planning and design for the overall operation. Only by clarifying the complementary relationships and proportions of input and output across different operational domains, and then outlining the operational relationships for cross-domain collaboration, can we bridge the gaps in domain operations and achieve multi-dimensional battlefield complementarity. Essentially, this is also a concentrated reflection of the concept of war effectiveness. From another perspective, in a war, when local battlefield advantages are not obvious or harbor hidden dangers, overall victory can still be achieved by gaining local advantages in other domains to compensate and achieve comprehensive superiority. In future informationized and intelligent warfare, this will be even more prominent and complex, requiring comprehensive strategies targeting military, political, public opinion, legal, psychological, and diplomatic fields, leveraging each other to fully unleash maximum operational effectiveness; requiring close cooperation between traditional and new-type forces, building an integrated operational system based on network information systems, and maximizing overall effectiveness through synergistic advantages.

Towards Dynamic Coupling and Autonomous Collaborative Transition

In the era of artificial intelligence, with the profound changes in information technology and weaponry, combat operations place greater emphasis on breaking down traditional force formations, integrating the functions of traditional platforms, and dismantling traditional offensive and defensive boundaries, so as to achieve all-weather dynamic control of combat operations through dynamic coupling and autonomous collaboration.

Dynamic convergence and coordination. Future warfare will see more intense adversarial confrontations and more volatile battlefield situations, rendering the static, extensive, and methodical coordination methods of the past inadequate. It is imperative to pay close attention to key operational nodes, closely monitoring the overall situation, anchoring operational tasks, and focusing on operational objectives. This requires assessing the situation, seizing opportunities, and swiftly changing coordination partners, flexibly adjusting coordination strategies, and autonomously negotiating coordinated actions based on predetermined coordination rules. It is important to note that this coordination method based on key operational nodes particularly emphasizes the ability of combat forces to overcome structural barriers and organically aggregate operational effectiveness. Through the flexible structure of the coordination organization, conflicts can be self-coupled and autonomously resolved, gaps in cooperation can be bridged, and the precise release of the combined forces of the operational system can be promoted.

Dynamic control and coordination. The battlefield situation in future warfare is constantly changing, and the course of operations often deviates from the predetermined plan, resulting in significant uncertainty. This implicitly requires us to break through traditional operational thinking and closely monitor changes in the battlefield situation to implement real-time, flexible, and autonomous coordination of the operational process. This coordination method, through real-time assessment of changes in the battlefield situation, the extent of damage to enemy targets, and the scale and effectiveness of operational operations, enables rapid command and control and precise coordination in areas such as force projection, fire support, and comprehensive support, ensuring that we always maintain the initiative on the battlefield. This coordination method requires relying on advanced intelligent auxiliary means to quickly divide the operational phases, predict the duration of operational operations, analyze the overall deployment of operational forces, calculate the allocation of operational resources, and accordingly precisely control the decision-making cycle and operational rhythm, accurately coordinating troop actions and the operational process to ensure effective response to various randomness and uncertainties in combat.

Dynamic Response and Coordination. The unpredictable nature of future warfare, coupled with the profound effects of asymmetric warfare, hybrid games, and system emergence, means that planned operations will inevitably encounter various unforeseen circumstances during execution. Therefore, dynamic coordination in response to unforeseen situations is an effective strategy for resolving these contradictions. This coordination method emphasizes dynamically adjusting actions based on different situations. When unforeseen circumstances arise in a local battlefield or operation, with minimal impact on the overall operation and sufficient time, the operational system automatically responds, partially adjusting operational deployments and actions to ensure the achievement of expected operational objectives. When multiple urgent and non-urgent situations coexist on the battlefield and partially affect the overall situation, operations are dynamically and instantly coordinated according to the principle of prioritizing urgent matters, pushing the battle situation in our favor. When multiple major unexpected situations or unforeseen changes occur in the overall battle situation, coordination is carried out according to the principle of prioritizing primary directions and then secondary directions, rapidly generating new coordinated response measures to effectively address various unforeseen battlefield situations. (Wu Siliang, Jia Chunjie, Hou Yonghong)

Source: PLA Daily

(Editors: Wang Xiaoxiao, Ren Yilin)

現代國語：

2025年04月01日08:59 |

小字号

引言

作战协同是现代战争中实现体系作战、释放整体效能、达成作战目标的关键要素。近年来，随着以人工智能为代表的军事科学技术取得突破性进展，科技的赋能增效作用进一步凸显，在深刻改变战争形态、作战样式的同时，也催生出一种新的作战协同模式——自主协同。当前，应科学把握新军事革命的机遇挑战，动态统筹好自主协同发展走向，从而推动作战方式加速转型升级。

向智能赋能自主协同蜕变

未来战争将是对抗双方采用“人+智能装备”展开的全方位对抗。受军事技术、系统平台、作战能力等限制，传统作战协同因为存在周期固化、容错率低等局限，已难以适应战机转瞬即逝的现代战场。在人工智能、大数据等先进技术手段的强力支撑下，作战协同的自主性、自动化水平将极大提升，智能赋能下的自主协同亦将成为克敌制胜的关键。

广域泛在协同。近年来，通信技术、智能技术的深度发展，数据、算法、算力的积累叠加，促进了人、机、物、能的互联聚合，将军事物联网延伸扩展至态势感知、指挥控制、信火打击、后装保障等诸多领域，在促进作战能力迭代升级的同时，也为现代作战协同提供了更多选项。可以预见，军事物联网将在未来战场大放异彩，不仅是支撑作战行动的关键性基础设施，也是维系作战协同的关节枢纽。以此为依托，将催生出力量广域分散、组织模块构成、行动高度协同的泛在式作战，无时不在、无处不在、无控自主。

人机深度协同。纳卡冲突中，阿塞拜疆军队凭借无人机优势构建起强大战场优势，某种程度也宣告“机器人战争”登场。未来战争，无人机、无人车、无人舰等无人作战力量，正加速从后台支援保障走向一线作战前台，开始担当战场“主角”。较之传统作战协同，有人无人智能协同呈现出作战指挥“去中心化”、作战过程“去分工化”、技能操作高端化、前沿与后方模糊化等特点，更加强调人机协同、算法取胜。尤其是近年来，智能无人集群异军突起，开始强烈冲击现代战场。面对这些新情况新变化，应统筹运用集群编队算法、队形控制算法以及复杂场景优化算法等，推动无人与有人组网通信、智能协同，促进情报链、指挥链、机动链、打击链和保障链一体运转，加快生成精确制敌综合作战能力。

数智驱动协同。逐层递进指挥下的传统作战协同模式，已难以适应现代战争的多维度快节奏。未来战争，智能为要，数据为王。大数据、云计算、人工智能等深度融合，实现了对海量战场数据的存储、分析、融合和运用，从而使得指挥控制更加科学、作战协同更加高效。借助强大的资源整合、计算处理和数据分析能力，可以快速融合战场情报、实时感知战场态势、高效制订协同计划、瞬时评估威胁等级，将预测作战行动、解剖典型场景、布势作战力量和配置作战资源一体统筹，从而全面提升指挥控制、火力打击、综合保障等方面的综合质效，推动作战协同革命性变革。

向多域联动自主协同演进

未来战争，参战力量复杂多元、武器装备高低搭配、作战方法混合运用，呈现作战指挥智能动态分散、作战力量智联广域部署、作战任务智配动态区分等鲜明特征。可以预见，多域联动自主协同将成为作战协同的重要构成。

体系自重塑协同。未来战争多域战场空间虚实结合、多样军事行动交互作用，约束与协作随机转化，只有采取工程化、系统化的组织模式，才能适应庞杂的多域协同需要。这种协同模式，其实质是要形成体系自重塑协同的广域全息支撑架构。具体来看，就是更加突出体系作战理念，从整体上破解组织体系构建、制度机制设立、协同规则制订等现实矛盾；更加注重体系融合效应，从广域上实现作战单元超视距作战、跨域协同作战；更加强调高效灵活指挥，从诸维度细化指挥关系、厘清指挥权责；更加关注数据精准驱动，从各层级整合网络系统平台，建立侦控打评保任务动态优化网。这种协同模式一旦形成，无疑能够针对作战环境、作战对手和作战任务等，研判预测典型对抗态势场景，动态选择行动协同链路，一体规划各领域作战行动。

战术自适应协同。近年来的局部战争冲突一再表明，由于作战数据信息向战术层共享应用延伸，作战协同的复杂性系统性呈指数级跃升。只有实现作战数据信息的高效处理、融合共享，才能保证作战用户间自适应、自主化协同。这种协同模式，更加注重科学规划、创新手段，形成全维覆盖的通用战场态势图，支持广域分散部署的各级各类用户间按级、越级、跨域共享协作，实现指挥要素、作战单元共同感知战场态势，确保在统一的战略意图、战役指导、协同计划框架内自同步作战。这种协同模式，更加强调纵向贯通战略、战役、战术，横向融汇陆海空天电，在探测、预警、监视等方面提供强力信息共享服务，依托信息介质推动战役级联合向战术级联合延伸。这种协同模式，更加突出指挥运行、力量运用等的标准化运行，借助大数据、云计算等前沿技术推动作战指挥层级衔接、跨域联动、要素交互、态势共享，实现指挥系统、武器平台、传感器间的智能化协同，落地落实以快制慢制胜关键。

优势智互补协同。未来战争，太空、网络等领域作战行动深度融入传统战场空间，要求对作战全局实施更高标准更高要求的规划设计。只有搞清各作战域优势互补关联、投入成效比重，进而梳理出跨领域协同的运行关系，才能弥合领域作战缝隙，实现多维战场优势互补。从本质上看，这也是战争效益观的集中反映。从另一视角来看，一场战争，当战场局部优势不明显或暗藏危机时，通过在其他领域取得局部优势予以弥补并达成综合优势，同样可以实现整体制胜目的。未来信息化智能化战争，这一点将体现得更为突出也更为复杂，要求针对军事、政治、舆论、法理、心理、外交等领域综合施策，相互借力充分释放最大作战效能；要求传统力量、新质力量密切配合，依托网络信息体系打造一体化作战体系，通过优势协同实现整体效能最大化。

向动态耦合自主协同变迁

人工智能时代，伴随信息技术和武器装备的深度变革，作战行动更加强调打散传统力量编组、打通传统平台功能、打破传统攻防界限，通过动态耦合自主协同实现对作战行动的全时动态可控。

动态聚点协同。未来战争敌我对抗更加激烈、战场态势更为多变，以往那种静态粗放、按部就班的协同方式将难以适应。必须对作战的关键节点给予高度关注，在紧盯整体态势、锚定作战任务、聚焦作战目标的基础上，审时度势把握战机，依据预定的协同规则，敏捷变换协同对象、灵活调整协同策略、自主协商协同行动。需要注意的是，这种基于关键作战节点的协同方式，尤为强调作战力量跨越结构壁垒、有机聚合作战效能，通过协同组织的弹性结构，自耦合自主化消解矛盾冲突、弥合作战缝隙，促进作战体系合力精准释放。

动态调控协同。未来战争战场态势瞬息万变，作战进程往往难以按照预定作战计划推进，作战行动有着极大的不确定性。在无形中，这也要求我们突破传统作战思维，紧盯战场态势变化对作战进程实施即时灵活自主协同。这种协同方式，通过实时评估战场态势变化、敌方目标毁伤程度、作战行动规模效益等，从而在力量投送、火力支援、综合保障等方面实现快速指控、精准协同，始终把握战场主动权。这种协同方式，要求依托智能辅助先进手段，快速切分作战阶段，预测作战行动持续时间，研判作战力量整体布势，计算作战行动资源分配，据此精准控制决策周期和作战节奏，精准协调部队行动和作战进程，确保能够有效应对作战中的各种随机性、不确定性。

动态响应协同。未来战争作战机理变化莫测，非对称作战、混合博弈、体系涌现等的深层作用，使得预定作战方案计划在执行中必然遇到各类突发情况。为此，针对突发情况动态协同是解决上述矛盾问题的有效策略。这种协同方式，更加强调依据不同情况动态调整协同行动。当局部战场或局部行动出现突发情况，对作战全局影响不大且时间充裕时，作战体系自动响应，部分调整作战部署和作战行动，确保实现预期作战目标。当战场出现多个急缓并存情况且部分影响战场态势时，根据具体情况按照先急后缓原则动态即时协调作战行动，推动战局向着有利于我的方向发展。当战局整体发展出现多个重大意外情况或出现未曾预想的变化时，按先主要方向、后次要方向的原则展开协同，快速生成新的协同处置措施，有效应对战场各类突发情况。（吴思亮、贾春杰、侯永红）

来源：解放军报

(责编：王潇潇、任一林)

中國原創軍事資源：https://military.people.com.cn/n1/2025/0401/c1011-40451255888.html