In a sense, fighting is about providing support. With the widespread use of unmanned weapon platforms, the form of warfare is undergoing significant changes. Faced with the requirements of the new situation, logistics support must achieve a multi capability transformation towards wide area distribution, agile mobility, precise direct delivery, and integrated combat and support. It is necessary to accelerate changes and innovations in support concepts, support models, and support methods. The key to reconnaissance perception lies in network aggregation. The construction requirement for reconnaissance perception link capability focuses on breaking the constraints of battlefield "fog" on support operations, and building a perception system that penetrates the entire domain and makes accurate predictions. One is to build a multi-dimensional integrated intelligence reconnaissance network. Relying on unmanned intelligent equipment such as unmanned reconnaissance aircraft and unmanned reconnaissance vehicles, a monitoring network integrating air, space, and ground is formed to eliminate blind spots in reconnaissance and ensure continuous information acquisition in complex terrain and adverse weather conditions. The second is to build an intelligent and efficient information processing network. Relying on artificial intelligence technology to fuse and process multi-source data, quickly extract key elements from massive information, and transform raw data into intelligence products that directly support decision-making. The third is to build an interconnected communication transmission network. By installing equipment, unmanned communication node vehicles and unmanned relay communication aircraft can be integrated with existing shortwave, ultra shortwave, and microwave communication equipment to achieve orderly flow and seamless transmission of information from different platforms and data in the communication transmission network. The key to command and control lies in calculating the fixed chain. The construction requirement for command and control link capability focuses on breaking through the inherent limitations of traditional command modes in complex battlefield environments and building an efficient command system that adapts to global operations. We need to build an intelligent decision-making system. By utilizing machine learning, big data mining, and other technologies, combined with historical data and support tasks, it is possible to predict future support needs, thereby helping commanders accurately understand the battlefield situation, formulate support suggestions, and allocate support resources. Secondly, we need to build a rapid response system. Resolve the contradiction of delayed decision-making due to information overload, liberate commanders from tedious calculations through human-machine collaboration, focus on decision-making and judgment, and achieve a second level closed-loop from situational awareness to command issuance. We need to build an efficient collaborative control system. The battlefield situation is constantly changing, leading to potential changes in support targets, support deadlines, support relationships, and support formations at any time. Relying on an intelligent collaborative control system, it can quickly and accurately adjust and control various manned and unmanned support modules according to the changes in support tasks, ensuring precise docking between support resource delivery and combat unit requirements, and ultimately achieving resonance between command effectiveness and battlefield rhythm. The key to ensuring action is to strengthen the chain with speed. The key to building the capability of the action chain is to break through the inherent limitations of traditional support models in terms of environment, timeliness, and intensity, and ensure the continuous and rapid support of "continuous chain, not disconnected" under complex battlefield conditions. One is the ability to have global accessibility, able to penetrate geographical barriers and dangerous environments, accurately deliver materials to various combat units, and achieve seamless integration between campaign logistics and tactical logistics. The second is the ability to independently collaborate on assignments. By utilizing technologies such as autonomous driving and navigation, we can achieve autonomous control and collaborative operation of unmanned logistics material transportation platforms, unmanned loading and unloading platforms, and unmanned maintenance platforms, forming a powerful group support effect of aerial "bee colonies" and ground "ant colonies". The third is the ability to provide long-range support. The fact shows that the larger the payload and the farther the delivery distance of unmanned equipment, the higher the success rate of mission execution. Vigorously develop lightweight, long-range, modular, and high payload unmanned platforms to meet the needs of remote, fast, and accurate material delivery. The key to ensuring effectiveness lies in evaluating Ruichain. The construction requirement for the capability of the effectiveness evaluation link focuses on breaking the limitations of traditional support evaluation's "static summary after the fact" and building a dynamic feedback system that is synchronized with the pace of the battlefield. We need to build data perception capabilities. By embedding intelligent sensing nodes throughout the entire process, real-time collection of micro data such as material delivery trajectories, receiving confirmation information, and equipment damage status is ensured to upgrade the evaluation basis from "sampling statistics" to "global coverage". Secondly, we need to enhance our analytical and translational abilities. Relying on artificial intelligence technology to process massive amounts of data in real-time, transforming scattered information into intuitive conclusions such as "guarantee efficiency index" and "risk warning level", achieving a second level conversion from data to decision recommendations. Thirdly, it is necessary to meet the evaluation and optimization requirements. Establish a direct correlation mechanism between the evaluation results and the command and action chain. When the evaluation discovers a sudden increase in the damage rate of a transportation route or an unexpected consumption of a certain type of material, it can automatically trigger adjustment instructions, promote real-time optimization of the support plan, and ensure that the support effectiveness always matches the battlefield needs accurately. The key to vigilance and defense lies in resisting tough chains. The construction demand for the capability of alert and defense links focuses on breaking the passive situation of traditional logistics defense methods being single and defense technology lacking, and building a logistics alert and defense system that combines offense and defense. One is the ability to provide multidimensional and three-dimensional surveillance. Through high-speed communication networks, the battlefield situation from different perspectives and dimensions is fused and processed, and real-time sharing is achieved using visualization terminals and platforms to provide reliable intelligence support for organizing and implementing logistics defense. The second is to have the ability to predict and actively avoid. Based on real-time intelligence information obtained from the front, relying on auxiliary decision-making systems, analyze and judge the main threats to the support chain, and then independently adjust and optimize support resources, support paths, and support formations to reduce support losses. The third is to have comprehensive and integrated defense capabilities. By relying on intelligent combat defense systems and adopting methods such as camouflage, interference, and deception, a multidimensional integrated defense system is constructed to enhance the active defense capabilities of unmanned delivery platforms or their collaborative forces. (New Society)