2026年 02期
生成理解统一模型在军事指挥控制领域的应用综述
Review of the Applications of Generative Understanding Unified Models in Military Command and Control
李敏;燕松;张雨森;李睿璇;苟瑶;何玉杰; LI Min;YAN Song;ZHANG Yusen;LI Ruixuan;GOU Yao;HE Yujie;Rocket Force University of Engineering;随着人工智能技术从单模态、判别式范式向多模态、生成式范式跨越，生成理解统一模型（generative understanding unified model, GUUM）作为一种新兴的技术架构，正在重塑现代军事力量的底层逻辑。首先，系统性地分析了GUUM的构建机理，揭示其通用能力的根源来自于多模态数据的统一建模与分析；然后，分析了其在感知层面应用的区别；最后，将视角放在物理战场的交互上，解析基于生成式规划与扩散策略的具身智能如何改变物理战场。在应用层面，结合具体案例深入探讨了GUUM在自动化作战方案生成与兵棋推演中的效能、利用GUUM进行情报融合的演进、合成孔径雷达图像的扩散模型增强技术，以及GUUM在认知战和电子战频谱生成中的战术价值。同时，基于最新对抗性攻击研究，揭示了统一模型在面对物理扰动、数据投毒及模型幻觉时的脆弱性。本文旨在为军事决策者及国防科研人员提供一份详尽的评估，论证GUUM如何成为推进新型作战概念由想定变为现实与全域指挥控制的关键赋能技术，并针对其安全风险提出防御性建议。
As artificial intelligence technology transitions from single-modal discriminative paradigms to multi-modal generative paradigms, the generative understanding unified model(GUUM)has emerged as a novel technical architecture that reshapes the underlying logic of modern military power. First, this study systematically analyzed the construction mechanisms of GUUM, revealing that its general capabilities stemmed from the unified modeling and analysis of multi-modal data. It further examined the distinctions in its application at the perception level. Finally, the review focused on interactions within the physical domain, analyzing how generative planning and diffusion policy-based embodied intelligence transformed the physical battlefield. At the application level, the review incorporated specific case studies to provide an indepth exploration of GUUM efficacy in the automated course of action generation and wargames, the evolution of intelligence fusion utilizing GUUM, diffusion model enhancement techniques for synthetic aperture radar images, and the tactical value of GUUM in cognitive and electronic warfare spectrum generation.Drawing on the latest research on adversarial attacks, this review exposed the vulnerabilities of unified models when facing physical perturbations, data poisoning, and model hallucinations. This study aimed to provide a comprehensive assessment for military decision-makers and defense researchers, demonstrating how GUUM served as a key enabling technology for advancing novel operational concepts from scenarios to reality and facilitating all-domain command and control while offering defensive recommendations to address security risks.
磁流变液的核心性能与应用研究综述
Review on the Core Properties and Applications of Magnetorheological Fluids
桑媛园;冯永保;张艺萱;韩小霞;邓宜琳; SANG Yuanyuan;FENG Yongbao;ZHANG Yixuan;HAN Xiaoxia;DENG Yilin;磁流变液作为一种典型的智能可控材料，具有响应速度快、力学性能优异、控制方式简便等优势，在工程领域具有广泛的应用前景。本文系统梳理了近年来国内外有关磁流变液的研究成果。首先，对磁流变液的组成成分进行深入剖析；其次，着重阐述了磁流变液的稳定性、磁特性以及流变性能，并深入分析了其中需重点解决的沉降分层、温度适应性和剪切稀化等问题；最后，总结了磁流变液在减振缓冲、精密加工等工程中的典型应用，进一步提出了材料制备工艺优化和器件设计升级等未来发展方向。本文可为磁流变液的配方优化、性能调控与工程化应用提供参考。
As typical intelligent controllable materials, magnetorheological fluids possess advantages such as fast response speed, excellent mechanical properties, and simple control methods: thus they have broad application prospects in the engineering field. This paper systematically summarized the research achievements in magnetorheological fluids in recent years. First, an in-depth analysis of the composition of the magnetorheological fluids was conducted. Subsequently, this study focused on expounding the stability,magnetic properties, and rheological properties of magnetorheological fluids and conducted an in-depth analysis of the key issues to be addressed, including sedimentation and stratification, temperature adaptability, and shear thinning. Finally, typical applications of magnetorheological fluids in engineering fields, such as vibration reduction and precision machining, were summarized. Future development directions, such as optimization of material preparation processes and upgrading of device design, were proposed, with the aim of providing theoretical references and technical guidance for formula optimization, performance regulation,and engineering applications of magnetorheological fluids.
基于频谱弥散调制的间歇采样转发干扰方法
Interrupted Sampling Repeater Jamming Method Based on Smeared Spectrum Modulation
吴其华;张楷煜;徐志明;刘晓斌;顾赵宇;赵锋; WU Qihua;ZHANG Kaiyu;XU Zhiming;LIU Xiaobin;GU Zhaoyu;ZHAO Feng;针对传统间歇采样转发干扰（interrupted sampling repeater jamming, ISRJ）方法存在假目标分布规律性强、高阶假目标峰值衰减速度快，导致ISRJ信号时频特征明显、易被雷达系统识别与抑制的问题，提出一种基于频谱弥散的间歇采样转发干扰（smeared spectrum-interrupted sampling repeater jamming, SMSP-ISRJ）方法。该方法将频谱弥散技术引入间歇采样转发机制中，通过对所截取的雷达局部信号片段进行相位重映射来改变其调频斜率，从而改变了干扰信号的脉压输出特性与时频分布规律。仿真结果表明：相较于传统ISRJ方法，SMSP-ISRJ产生的0阶假目标到1阶假目标的幅度衰减速率明显减缓，且通过调节采样周期与压缩因子等参数，可灵活实现欺骗干扰和压制干扰的效果切换；在抗识别与抗抑制方面，SMSP-ISRJ使基于时频域行聚类的抗干扰算法失效，干扰信号经抑制后的脉压输出在真实目标附近仍残留多个高幅值虚假峰。
To address the issues of traditional interrupted sampling repeater jamming(ISRJ), such as regular false target distribution and rapid peak attenuation of high-order false targets, which resulted in distinct time-frequency characteristics of ISRJ signals and vulnerability to identification and suppression by radar systems, a smeared spectrum-interrupted sampling repeater jamming(SMSP-ISRJ)method was proposed. This method introduced the smeared spectrum technique into the interrupted sampling repeater mechanism and remapped the phase of the intercepted local radar signal segments to alter the frequency modulation slope of the radar signal fragments, thereby changing the pulse compression output characteristics and time-frequency distribution patterns of jamming signals. Simulation results show that, compared with traditional ISRJ methods, the SMSP-ISRJ method significantly slows down the amplitude attenuation rate from the 0th- to 1st-order false targets. It can flexibly switch between deceptive and suppressive jamming effects by adjusting parameters, such as sampling periods and compression factors. In terms of antiidentification and anti-suppression, SMSP-ISRJ disables anti-jamming algorithms based on time-frequency row clustering. After suppression, multiple high-amplitude false peaks remain near the real target in the pulse compression output of the jamming signals.
基于MSNR-JBSS的雷达组网系统抗主瓣压制干扰方法
An Anti-Mainlobe Suppressive Jamming Method for Radar Networked Systems Based on MSNR-JBSS
韩晓斐;刘骋域;张琪;何华锋;周涛; HAN Xiaofei;LIU Chengyu;ZHANG Qi;HE Huafeng;ZHOU Tao;针对现有抗主瓣压制干扰方法依赖干扰类型、干扰角度等先验信息的问题，提出一种基于最大信噪比的联合盲源分离（maximum signal-to-noise ratio for joint blind source separation, MSNR-JBSS）的雷达组网系统抗主瓣压制干扰方法。首先，该方法以组网系统各雷达站为基准雷达，对雷达接收信号进行延时估计与补偿；然后，基于MSNR准则进行联合盲源分离处理，获得以每部雷达为基准的目标径向距离信息；最终，基于多站联合定位的数据级融合方法实现目标精确定位。该方法虚拟扩展了信号通道数，增强了源信号的分离效果，且无需提前获取干扰类型、干扰角度、信号源个数等先验信息。仿真结果表明：所提方法抗干扰与定位性能均优于对比方法。在相同仿真条件下，所提方法的输出峰值旁瓣比平均低于对比方法 1.5～3 dB；在干噪比100 dB、信噪比10 dB的强干扰场景中，目标定位精度可达3.971 m，较对比方法提升显著，充分验证了通过JBSS虚拟扩展信号通道数提高抗干扰性能的有效性。
To address the reliance of existing anti-mainlobe suppressive jamming methods on prior information, such as jamming type and direction, a method for radar networks to counter mainlobe suppressive jamming based on the maximum signal-to-noise ratio for joint blind source separation(MSNR-JBSS)was proposed. First, each radar in the networked system was sequentially designated as the reference radar, and all the received radar signals were estimated and compensated. Subsequently, the JBSS processing was conducted based on the MSNR criterion to obtain the radial-range information of the target, with each radar serving as a reference. Finally, precise target localization was achieved using a data-level fusion approach based on multi-station joint localization. The proposed method virtually expanded the number of signal channels and enhanced the separation performance of source signals, requiring no prior information such as jamming type, jamming direction, or number of signal sources. Simulation results demonstrate that the proposed method outperforms the comparative methods in terms of both anti-jamming performance and localization accuracy. Under the same simulation conditions, the output peak-to-side lobe ratio is, on average, 1.5-3 dB lower than that of the benchmark methods. In a strong interference scenario with a jamming-to-noise ratio of 100 dB and a signal-to-noise ratio of 10 dB, the target localization accuracy reaches 3.971 m, showing a significant improvement over the compared approaches. These results verify the improvement in the anti-jamming performance achieved by virtually expanding the number of signal channels through the JBSS.
稀疏空间特征与线性注意力融合的对空红外小目标检测
Sparse Spatial Feature and Linear Attention Fusion-Based Aerial Infrared Small Target Detection
陈光晨;张枫;张印辉;何自芬;杨小冈;卢瑞涛; CHEN Guangchen;ZHANG Feng;ZHANG Yinhui;HE Zifen;YANG Xiaogang;LU Ruitao;针对空中红外小目标探测存在目标距离远、热辐射衰减严重及环境信息复杂等问题，提出稀疏空间特征与线性注意力融合的对空红外小目标检测（aerial infrared small target detection,AISTD）模型。首先，为解决因特征图尺寸降低而导致目标细节信息丢失的问题，设计了稀疏空间特征提取模块和对称式挤压激励特征提取模块来加强模型对红外小尺度目标的特征提取能力；然后，针对热辐射信号易受环境干扰的问题，将二维图像转换为一维序列后输入到多头线性注意力模块，并对其进行旋转位置编码，从多个注意力子空间中获取红外目标细节纹理和轮廓特征信息，以增强模型在复杂场景下对红外小目标的关注度；最后，建立对空红外小目标数据集并对模型进行训练和测试，以验证模型的有效性。结果表明：所提方法在对空红外小目标数据集上的mAP75达到90.3%,mAP50-95达到74.7%，模型推理时间缩短至3.9 ms，相比现有的YOLOv11和YOLOv13等目标检测网络，AISTD能够更快速准确地识别出空中红外小目标。
Aerial infrared small-target detection faces critical challenges including long detection distances, severe thermal radiation attenuation, and complex environmental interference. To address these issues, an aerial infrared small-target detection(AISTD)model that effectively integrates sparse spatial features with linear attention was proposed. First, to alleviate the loss of fine-grained feature information caused by the reduced feature map, a sparse spatial feature extraction module and a symmetrical squeezing excitation feature extraction module were introduced to enhance the model's capability of infrared smallscale target feature extraction. Subsequently, to mitigate environmental interference with thermal radiation signals, the two-dimensional image was converted into a one-dimensional sequence and input into a multihead linear attention module, with rotary positional encoding applied. The proposed model captured detailed texture and contour information of infrared targets across multiple attention subspaces, thereby improving the sensitivity to small targets in complex aerial scenes. Furthermore, an aerial infrared small-target dataset was constructed to train and test the proposed approach and validate its effectiveness. Extensive experimental results demonstrate that the proposed AISTD achieves an mAP75 of 90.3% and an mAP50-95 of 74.7% on a self-built dataset, while reducing the inference time to 3.9 ms. Compared with existing object detection networks, such as YOLOv11 and YOLOv13, the AISTD model exhibits superior performance in terms of both detection accuracy and computational efficiency.
基于通信感知一体化的无人机集群目标参数估计方法
Integrated Sensing and Communication-Based Target Parameter Estimation Method for Unmanned Aerial Vehicle Swarm
张宇星;赵建伟;贾维敏;何芳;张峰干; ZHANG Yuxing;ZHAO Jianwei;JIA Weimin;HE Fang;ZHANG Fenggan;针对无人机集群反制的低成本部署以及复杂电磁环境下目标参数估计对实时性与抗噪能力的迫切需求，提出一种基于通信感知一体化（integrated sensing and communication,ISAC）的感知架构。首先，结合多输入多输出正交频分复用（multiple input multiple output-orthogonal frequency division multiplexing,MIMO-OFDM）技术与压缩感知理论，通过构建适用于MIMO-OFDM通信感知一体化系统的信道模型和时频空域联合稀疏信号模型，将目标参数估计问题转化为稀疏信号重构问题。然后，提出一种CBF-OMP混合算法，通过常规波束成形（conventional beamforming, CBF）实现空域干扰抑制与角度估计，将接收信号进行空域解耦后，利用正交匹配追踪（orthogonal matching pursuit, OMP）算法在时频域过完备字典中进行稀疏恢复，实现距离和速度参数的联合估计。最后，通过仿真实验将所提方法与传统多目标感知算法进行对比。实验结果表明：所提方法在较宽网格密度下仍能够保持较低的估计误差。在保证高精度的同时，其计算效率较CBF-2D-MUSIC提升约51倍，且在低信噪比环境下展现出较强的鲁棒性，能够实现精度、效率与抗噪能力的有效平衡。
In response to the urgent demand for real-time performance and noise resistance in the lowcost deployment of unmanned aerial vehicle(UAV)swarm countermeasures and the estimation of target parameters in complex electromagnetic environments, a UAV swarm-sensing architecture based on integrated sensing and communication(ISAC)was proposed. This framework combined multiple-input multiple-output-or-thogonal frequency-division multiplexing(MIMO-OFDM)technology and compressed sensing theory. By constructing the channel model and joint time-frequency-space sparse signal model for the MIMO-OFDM ISAC system, the issue of target parameter estimation was transformed into a sparse signal reconstruction problem. Subsequently, a hybrid conventional beamforming-orthogonal matching pursuit(CBF-OMP)algorithm that employed a CBF algorithm for spatial interference suppression and angle estimation was proposed. After decoupling the received signal in the spatial domain, the OMP algorithm was used for the sparse recovery of the range and velocity parameters by exploiting a constructed overcomplete dictionary in the time-frequency domain. Finally, the proposed method was compared with traditional multitarget sensing algorithms in a simulation experiment. The results demonstrate that the proposed CBFOMP method maintains low estimation errors across a wide range of grid densities. It maintains high accuracy while improving computational efficiency by approximately 51 times compared to the CBF-2D-MUSIC method and exhibits strong robustness in low signal-to-noise ratio environments, effectively balancing accuracy, efficiency, and anti-noise capability.
室内氡的分布特征及测量方法对比
Comparison of Distribution Characteristics and Measuring Methods of Radon in Indoor Environment
霍勇刚;孙志强;张铁军;邵宇睿;李炯垚; HUO Yonggang;SUN Zhiqiang;ZHANG Tiejun;SHAO Yurui;LI Jiongyao;Military Representative Office of PLA Army;氡作为天然辐射的主要来源，约占公众所受天然辐射总剂量的50%，因此研究其在日常环境中的分布对人员的安全健康具有重要意义。针对室内氡浓度空间分布特征不明以及测量方法适用性还有待验证的问题，利用RAD7氡测量仪，采用控制变量法与加权平均数据处理方法，对单个房间在通风、密闭环境下的氡浓度分布进行测量，同时对比了不同楼层氡的垂直分布特征及不同测量方法的误差。结果表明：单个房间内氡浓度在空间中呈不均匀分布，在近地面及人员呼吸高度区域易出现氡积聚，通风可显著缩小各点位的浓度差异；建筑内氡浓度存在明显垂直梯度差异，从低到高逐层递减，一楼氡浓度显著高于二、三楼，二、三楼氡浓度则较为接近；选取15 min和30 min测量周期时测量结果的误差相对较大，选取1 h和3 h测量周期时可较准确反映氡浓度变化水平；“三点法”经权重优化后测量准确性提升，可有效解决空间异质问题，适用于工程排查与应急响应；“分段法”数据连续性好、符合标准要求，更适用于科学研究与合规性评估。
Radon is the primary source of natural radiation and accounts for approximately 50% of the natural radiation dose received by the public. Therefore, investigating its distribution in daily environments is important to human safety and health. To address the unclear spatial distribution characteristics of indoor radon concentration and verify the applicability of the measurement methods, a RAD7 radon meter was used to measure the radon concentration distribution in a single room under ventilated and closed environments by adopting the control variable and weighted average data processing methods. The vertical distribution characteristics of radon across different floors and error differences among the various measurement methods were compared. The results show that the radon concentration within a single room presents an uneven spatial distribution, with accumulation tendencies near the ground and at respiratory height, and that ventilation can significantly reduce the concentration differences at each measuring point. An obvious vertical gradient exists in the indoor radon concentration, which decreases progressively from lower to higher floors, with significantly higher concentrations on the first floor than on the second and third floors,while the concentrations on the second and third floors remain relatively similar. Measurement periods of15 and 30 minutes exhibit substantial errors, whereas 1-and 3-hour periods provide more accurate radon concentration levels. The measurement accuracy of the three-point method is improved after weight optimization, enabling effective resolution of spatial heterogeneity problems and is suitable for engineering investigations and emergency responses. The segmentation method demonstrates good data continuity and compliance with standard requirements, making it applicable to scientific research and compliance assessments.
基于毁伤域仿真的发射车抗破片能力评估
Damage Domain Simulation-Based Evaluation of Anti-Fragmentation Capability of Launch Vehicles
王冬;都亮;李向阳;刘志浩;陶举兴;吴济民; WANG Dong;DU Liang;LI Xiangyang;LIU Zhihao;TAO Juxing;WU Jimin;Rocket Force University of Engineering;针对发射车战场环境下抗毁伤能力评估需求，提出一种基于毁伤域表征的发射车抗破片能力评估方法。首先，构建破片威力场与车辆毁伤准则；其次，利用边界交替采样与支持向量机快速界定毁伤域边界，并通过自适应网格积分计算毁伤域面积、面积比及毁伤概率，多维表征发射车抗破片能力；最后，综合考虑发射车各部件抗破片强度、作战地形、机动速度和攻击武器精度等因素，对发射车抗破片能力进行仿真计算。结果表明：单部件强度提升对整车抗毁能力影响程度不同，在发射筒、驾驶室、舱室、轮胎4个部件强度分别增大1倍后，整车毁伤域分别减少19.3%、9.5%、4.1%、0.1%；作战地形对整车抗毁能力影响显著，相对于水平地形，发射车周边坡度为-40°和40°时，整车毁伤域变化率分别为-66.9%和213%；发射车机动速度对抗破片能力影响有限，但在攻击弹药瞄准到惯性命中时间差为0.8 s时，发射车保持72 m/s机动速度，能够使毁伤概率降低47.3%。仿真算例验证了方法的有效性，实现了从部件性能到整车抗毁的量化评估，进而为发射车结构优化及作战运用提供决策参考。
To address the evaluation need for anti-fragmentation capability of launch vehicles in battlefield environments, an evaluation method for anti-fragmentation capability based on damage domain characterization was proposed. First, the method constructed a fragmentation power field and vehicle damage criteria. Consequently, the damage-domain boundary was rapidly delineated using alternating boundary sampling and support vector machines. The damage area, area ratio, and damage probability were calculated using adaptive grid integration, thereby providing a multidimensional characterization of the antifrag-mentation capability of the vehicle. Finally, factors including the anti-fragmentation strength of key components,operational terrain, vehicle speed, and weapon attack accuracy were comprehensively considered in the simulation of the anti-fragmentation capability of launch vehicles. The results show that enhancing the strength of the individual components differentially affects the overall survivability. When the strengths of the launch tube, cabin, compartment, and tires are doubled, the overall damage areas decrease by 19.3%,9.5%, 4.1%, and 0.1%, respectively. Operational terrain significantly impacts the survivability of the vehicle, compared to flat ground, slopes of -40°and 40°around the vehicle lead to changes in the damage domains of-66.9% and 213%, respectively. The vehicle speed has a limited yet meaningful influence. At a speed of 72 m/s with a 0.8 s delay between aiming and impact, the damage probability can be reduced by47.3%. The simulation case verifies the effectiveness of the proposed method, enabling a quantitative evaluation of the component performance for overall survivability, thereby providing decision-making recommendations for the structural optimization and operational deployment of launch vehicles.
弹体对不同围压混凝土靶的侵彻性能研究
Study on the Penetration Performance of Projectiles into Concrete Target under Different Confining Pressures
蓝贤亮;汪维;薛建锋;原黎明;许红浩;万斯奇;孙雅兰;马庆跃; LAN Xianliang;WANG Wei;XUE Jianfeng;YUAN Liming;XU Honghao;WAN Siqi;SUN Yalan;MA Qingyue;660 Design Institute of Hongdu Aviation Industry Group;在工程实际中，连续介质混凝土之间通常会相互作用产生挤压，导致其抗压强度和抗侵彻性能显著增加。为研究弹体对不同围压混凝土的侵彻性能，利用LS-DYNA有限元软件开展了0～18 MPa围压下弹体垂直侵彻C40混凝土靶的仿真计算，得到不同围压混凝土靶的受力云图和破坏云图，并提取速度、侵彻深度和加速度时程曲线，建立了侵彻深度与围压之间的函数关系。同时，开展初速为450 m/s条件下弹体对不同围压C40混凝土靶的侵彻试验，弹体侵彻深度仿真结果与试验结果误差小于4%，从而验证了仿真模型的正确性。仿真和试验结果表明：当在混凝土靶四周施加围压时，混凝土靶的破坏区域明显减少，且围压越高，混凝土抗侵彻能力越强；当无围压作用时，侵彻过程中弹体动能耗散较为均匀，当施加围压时，动能的耗散主要集中在侵彻开始阶段。
In engineering practice, interaction within continuous concrete media often generate confining compression, which significantly enhances their compressive strength and anti-penetration performance. To study the penetration performance of projectiles into concrete under varying confining pressures,LS-DYNA finite element software was used to simulate vertical penetration into C40 concrete under confining pressures ranging from 0-18 MPa. The stress and damage cloud maps of the concrete targets under different confining pressures were obtained, and the velocity, penetration depth, and acceleration time-history curves were extracted to establish a functional relationship between the penetration depth and confining pressure. Penetration tests were conducted at an initial velocity of 450 m/s against C40 concrete under different confining pressures. The simulation results for the penetration depths show errors of less than 4%compared to the experimental results, validating the accuracy of the simulation model. Both the simulation and experimental results indicate that applying a confining pressure around the concrete target significantly reduces the damage zone, with a higher confining pressure leading to stronger anti-penetration capabilities.When no confining pressure is applied, the kinetic energy dissipation of the projectile during penetration is relatively uniform, whereas under confining pressure, the kinetic energy dissipation is primarily concentrated in the initial stages of penetration.
典型建筑目标薄弱部位识别与爆炸毁伤验证
Identification of Weak Parts of Typical Building Targets and Verification of Explosion Damage
盛嘉贝;易华辉;徐翔云;焦钰欣;朱鹏;张贤;李小天; SHENG Jiabei;YI Huahui;XU Xiangyun;JIAO Yuxin;ZHU Peng;ZHANG Xian;LI Xiaotian;为解决建筑目标薄弱部位带来的潜在风险难以评估的问题，提出通过对建筑物的部位与功能耦合，分析并预测其薄弱部位。首先，选取建筑物的关键构件，通过静力分析计算出不同构件对整体的承载比例因子；然后，基于某高层建筑物易损性评估模型以及框架-剪力墙结构建筑物拆除构件仿真计算结果赋予构件关联度系数，加权得出构件贡献因子、房间贡献因子，通过对房间使用功能及其所处空间相对位置加权得到最不利楼层，预测该建筑整体的薄弱部位为二层中心房间；最后，通过建立有限元模型验证所提方法的有效性。仿真实验结果表明：100、200、300、400 kg 4种当量下，案例中二层中心房间的毁伤指标均为同当量下不同位置的最大值，证明了通过贡献因子判别薄弱部位的方法具有可靠性。
To overcome the difficulty in evaluating the potential risks caused by the weak parts of a building target, the weak parts of a building were analyzed by coupling the location and function of the building. First, the key components of the building were selected, and the bearing ratio factors of different components were calculated using static analysis. Subsequently, the component correlation coefficients were obtained through the vulnerability assessment model of highrise buildings and the simulation results of the demolition and construction of frame-shear wall structures. The component and room contribution factors were obtained by weighting the correlation coefficients. The most unfavorable floor was obtained by weighting the room use function and its spatial location, and it was predicted that the weak part of the whole building was the second-floor central room. Finally, the effectiveness of the proposed method was verified by establishing a finite element model. The simulation results show that under equivalent charge levels of 100, 200, 300, and 400 kg, the damage index of the center room on the second floor is the maximum value at different positions. It is proven that the method of identifying weak parts using contribution factors is reliable.