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Hybrid Controller for Steady Speed of Agricultural Machinery on Slopes 认领 引用 被引量：1
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作者 WU Caicong XU Haisong GAO Xingyu 《农业机械学报》 EI CAS CSCD 北大核心 2026年第2期416-426,共11页
Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybr... Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybrid control method was proposed.This method included a hybrid controller composed of a slope-based controller and a proportional-integral-derivative(PID)controller.The speed of agricultural machinery was influenced by longitudinal forces,which were divided into two parts:one part was slope-related forces and conventional resistance,and the other was hard-to-estimate forces,such as sliding friction.For the first part,a slope-based controller was designed;for the second part,a PID controller was implemented.By combining these two controllers,the system can dynamically adjust the throttle opening and the brake master cylinder pressure,ensuring steady speed travel on sloping farmland.Simulation tests at a target speed of 7 km/h demonstrated that the proposed controller maintained a stable speed,achieving a root mean square error of 0.13 km/h and a mean absolute percentage error of 1.6%.Field tests on a practical experimental platform validated the method’s effectiveness,with results showing consistent control performance across varying slope conditions.The proposed controller demonstrated superior control performance.Experimental data verified that this method can achieve precise control of the agricultural machinery’s movement speed,meeting the stability requirements for agricultural operations. 展开更多
关键词 farmland slope PID controller steady speed control agricultural machinery unmanned operation
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基于工业基础类(IFC)标准构件库的建筑工程BIM参数化建模技术研究 认领 引用
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作者 赖华辉 刘壕 +1 位作者 张纲纲 林湫萍 《工业建筑》 CAS 2026年第7期288-295,共8页
在BIM应用中,根据项目特点一般采用不同的BIM软件创建BIM模型,并导出软件专属格式或通用数据格式后,传递至其他软件中应用。然而,数据在转换过程中可能出现数据丢失、失真等问题。为此,提出采用BIM通用数据格式的工业基础类(IFC)作为建... 在BIM应用中,根据项目特点一般采用不同的BIM软件创建BIM模型,并导出软件专属格式或通用数据格式后,传递至其他软件中应用。然而,数据在转换过程中可能出现数据丢失、失真等问题。为此,提出采用BIM通用数据格式的工业基础类(IFC)作为建模基础的技术路线。首先,根据建筑工程建模需求,研究开发IFC构件库,为BIM建模提供构件资源。然后,研究BIM建模过程中所需的空间位置布置、几何尺寸参变、颜色材料设置等,并分析与IFC数据的逻辑映射关系。最后,研发基于IFC的BIM模型创建平台,并采用建筑工程项目进行BIM建模测试。结果表明:采用基于IFC的BIM建模方法技术路线具备可行性;随着IFC构件资源的逐渐丰富,将促进基于IFC标准的BIM建模,进而提高BIM数据共享与交换质量和效率。 展开更多
关键词 BIM IFC 构件库 建模 参数化
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A Hybrid MZOA-PSO Optimized Cascaded PI(1+DD)-PI-PID Controller for Frequency Stability of Interconnected Power Systems with Renewable Energy and Electric Vehicles 认领 引用
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作者 AL-Wesabi Ibrahim Hassan M.Hussein Farh +3 位作者 Jiazhu Xu Mohamad A.Alawad Ahmed Alqurashi Abdullrahman A.Al-Shamma’a 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期650-697,共48页
Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable e... Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system.Although various PI/PID and other advanced control strategies have been employed for LFC in power systems,the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems.Moreover,the optimization methods employed for the tuning of the controllers have shown some limitations in terms of the balance between global and local search abilities of the optimization functions.To overcome the limitations of the existing methods and optimization functions,a hybrid Modified Zebra Optimization Algorithm-Particle Swarm Optimization(MZOA-PSO)is presented in this paper for the optimization of a cascaded PI(1+DD)-PI-PID controller for LFC in power systems.The MZOA enhances the original ZOA by chaotic initialization,adaptive parameter control,and Lévy-flight foraging to improve the global search ability,while PSO ensures efficient local search ability.The optimizer is first validated using four benchmark functions,achieving the global optimum for the Booth and Zakharov functions,a mean value of 2.13×10−28 with a 98%success rate for Rosenbrock,and 3.21×10−81 for Schwefel 2.22.Under a 1%step load perturbation,the proposed controller achieves a 13 s settling time,zero negative deviation in Area 2,a maximum positive excursion of 0.10 Hz,and tie-line undershoot limited to−0.10 p.u.Under random load variations,deviations remain within±0.03 Hz and±0.02 p.u.Under RES and EV integration,the peak frequency deviation is reduced to 0.46 Hz in Area 1.These results confirm that the proposed hybrid MZOA-PSO tuned cascaded controller provides improved damping,faster stabilization,and stronger robustness for modern interconnected LFC systems. 展开更多
关键词 Load frequency control cascaded PI(1+DD)-PI-PID controller hybrid MZOA-PSO algorithm interconnected power systems performance optimization
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A Review on Global Trends in Inverter Topologies,Controllers,Applications,Challenges and Solutions 认领 引用
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作者 Md.Liton Hossain Md.Zahid Ansary +3 位作者 Jiefeng Hu Syed Islam Maaspaliza Azri Norezmi Md.Jamal 《Energy Engineering》 EI 2026年第8期454-478,共25页
Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their... Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their simple structure and mature control strategies.However,2LIs exhibit several limitations when interfacing with utility-scale grid systems,including higher harmonic distortion,increased switching stress,and reduced efficiency in high-voltage and high-power operations.Multilevel Inverters(MLIs)have emerged as a transformative solution,enabling high-voltage and high-power applications with improved efficiency and significantly lower harmonic distortion compared to traditional two-level configurations.This review investigates the broad range of applications of 2LIs,along with their operational constraints,and provides a comprehensive overview of major MLI topologies,including neutral-point-clamped(NPC),flying-capacitor(FC),cascaded H-bridge(CHB),hybrid structures,transformer-based converters,and matrix converters.Key modulation and control techniques are also discussed,such as SPWM,SHE,SVPWM and random PWM.Furthermore,this paper highlights the practical deployment of MLIs in industrial motor drives,renewable energy integration,uninterruptible power supplies,and energy storage systems.Beyond technical aspects,global trends in inverter development are examined by comparing efficiencies,capabilities,and challenges among major manufacturers worldwide.Overall,MLIs are presented as scalable,efficient,and reliable converter solutions for the future of industrial and utility-scale power systems,offering valuable insight into current advancements and promising research directions. 展开更多
关键词 Inverter MLIs topologies controllers application industrial inverters challenges and solutions
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Design of Composite Two-Channel Disturbance Estimation Adaptive Controller for Backlash-Like Hysteretic Nonlinear Systems 认领 引用
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作者 LIU Qunpo LI Jiakun +2 位作者 FEI Shumin BU Xuhui NAOHIKO Hanajima 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第1期106-116,共11页
For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy o... For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy of the system.The unmodeled hysteresis and external disturbances are treated as lumped uncertainties,which are approximated by radial basis neural network and disturbance estimator respectively.These approximations are then linearly fused to form the compensation term for the lumped uncertainty.The second order linear filter is employed to estimate multiple differential terms,which are integrated into the controller design and dynamic system state updates,thereby reducing computational complexity.A weighted fusion mechanism is implemented for the two channels,and the adaptive update rate for each channel is determined based on the deviation between the lumped uncertainty reference value and the output of each channel.To address the challenges posed by the discontinuity of deviation and maintain system stability,the first-order low-pass filter is applied to smooth the deviation,enhancing system robustness.A trajectory tracking simulation of a single-input single-output nonlinear system is conducted to compare the performance of the proposed controller with baseline controllers,demonstrating the effectiveness of the composite two-channel disturbance estimation adaptive controller. 展开更多
关键词 composite adaptive control disturbance estimator external disturbance hysteretic nonlinearity neural network
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A Novel Distributed Controller Design for Robust Global Coordination of MASs With Heterogeneous Saturation 认领 引用
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作者 Xiaoling Wang Shengnan Zhu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期230-232,共3页
Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distr... Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distributed control framework that strategically integrates a redesigned saturation function to handle the nonlinear actuator constraint and a high-gain feedback mechanism for effective disturbance rejection. 展开更多
关键词 robust global coordination disturbance rejection nonlinear actuator constraint distributed control multi agent systems actuator saturation distributed control framework heterogeneous actuator saturation
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Actor–Critic Trajectory Controller with Optimal Design for Nonlinear Robotic Systems 认领 引用
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作者 Nien-Tsu Hu Hsiang-Tung Kao +1 位作者 Chin-Sheng Chen Shih-Hao Chang 《Computers, Materials & Continua》 SCIE EI 2026年第4期1996-2021,共26页
Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are o... Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are often effective for stabilization but may not directly optimize long-term performance.To address this limitation,this study develops an integrated framework that combines optimal control principles with reinforcement learning for a single-link robotic manipulator.The proposed scheme adopts an actor–critic structure,where the critic network approximates the value function associated with the Hamilton–Jacobi–Bellman equation,and the actor network generates near-optimal control signals in real time.This dual adaptation enables the controller to refine its policy online without explicit system knowledge.Stability of the closed-loop system is analyzed through Lyapunov theory,ensuring boundedness of the tracking error.Numerical simulations on the single-link manipulator demonstrate that themethod achieves accurate trajectory followingwhile maintaining lowcontrol effort.The results further showthat the actor–critic learning mechanism accelerates convergence of the control policy compared with conventional optimization-based strategies.This work highlights the potential of reinforcement learning integrated with optimal control for robotic manipulators and provides a foundation for future extensions to more complex multi-degree-of-freedom systems.The proposed controller is further validated in a physics-based virtual Gazebo environment,demonstrating stable adaptation and real-time feasibility. 展开更多
关键词 Reinforcement learning optimal control actor–critic algorithm trajectory tracking nonlinear systems robotic manipulator
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面向无人机智能巡检的桥梁数字孪生系统:基于IFC知识图谱与游戏引擎的协同方法 认领 引用 被引量：1
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作者 刘玖财 李海江 王达磊 《中国公路学报》 EI CAS CSCD 北大核心 2026年第1期173-185,共13页
面向无人机智能巡检的桥梁数字孪生系统需要集成与处理增量式的多模态数据,以支撑面向现实场景动态决策的高精度仿真需求。然而,现有数字孪生平台时空数据管理割裂、多模态数据融合不足、决策交互机制缺失,并未形成真正意义上的面向无... 面向无人机智能巡检的桥梁数字孪生系统需要集成与处理增量式的多模态数据,以支撑面向现实场景动态决策的高精度仿真需求。然而,现有数字孪生平台时空数据管理割裂、多模态数据融合不足、决策交互机制缺失,并未形成真正意义上的面向无人机智能巡检的桥梁数字孪生系统。基于此,提出了一种融合IFC (Industry Foundation Classes)、知识图谱和游戏引擎的桥梁数字孪生系统。系统以基于IFC构建的知识图谱(IFC-graph)为核心的数据管理引擎,统一整合桥梁设计建造信息、无人机巡检规划所需的结构语义,以及巡检过程中获取的多模态感知数据(如点云、图像等),构建覆盖构件-子结构-区域等多空间尺度、支持全生命周期演化的增量式语义管理体系,并实现语义驱动下的高效信息检索与动态数据关联。在虚拟仿真层面,系统引入虚幻引擎构建高保真三维桥梁环境,精准复刻物理场景中的几何结构与环境要素,并通过与IFC知识图谱的双向联动机制,支持无人机路径规划、飞行策略模拟与多轮次巡检任务的交互式推演,能够真实还原飞行过程中的转向、避障与碰撞等复杂行为。基于上述系统框架,进一步提出一种融合构件语义的无人机巡检路径优化算法,有效提升路径规划的适应性与精度,实现面向关键构件的高分辨率检测。系统已在实际桥梁案例中完成部署与验证,结果表明:该方案具备良好的可扩展性与工程适用性,可为桥梁运维过程中的智能化分析与全生命周期管理提供新型解决思路与技术支撑。 展开更多
关键词 桥梁工程 无人机巡检 数字孪生 IFC-graph 虚拟仿真 路径规划
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Fault-tolerant Control and Fault Diagnosis of Symmetrical Six-phase Permanent Magnet Synchronous Motor Drives without Controller Reconfiguration 认领 引用
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作者 Aihua Liu Feng Yu +1 位作者 Qingan Zhu Xiaoxin Wu 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2026年第1期87-96,共10页
Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.... Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.This paper presents the fault-tolerant control strategy of symmetrical six-phase permanent magnet synchronous motor(SSPMSM)under an isolated neutral point topology and proposes a fault diagnosis scheme based on joint diagnosis of multiple variables.First,two mathematical models of SSPMSM and their relationship are established.Subsequently,the current vectors in the torque subspace and harmonic subspace of the two winding sets under fault conditions are analyzed,and the cause of post-fault torque ripple is explained as resulting from controller conflict.In addition,a multivariate fault diagnosis scheme based on voltage threshold in the x-y subspace and current trajectory characteristics in theα-βsubspace is proposed to enhance the diagnostic accuracy.Finally,the feasibility and stability of the proposed control and diagnosis methods are verified by experiments. 展开更多
关键词 Fault-tolerant control Symmetrical six-phase permanent magnet synchronous motor(SSPMSM) Isolated neutral point Controller conflict Multivariate fault diagnosis
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Robust Sensor—Less PR Controller Design for 15-PUC Multilevel Inverter Topology with Low Voltage Stress for Renewable Energy Applications 认领 引用
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作者 K.Naga Venkata Siva Damodhar Reddy +3 位作者 P.Krishna Murthy Kiran Kumar Pulamolu M.Dharani T.Venkatakrishnamoorthy 《Energy Engineering》 EI 2026年第1期221-242,共22页
Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressi... Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressing these shortcomings,thiswork presents a robust 15-level PackedUCell(PUC)inverter topology designed for renewable energy and grid-connected applications.The proposed systemintegrates a sensor less proportional-resonant(PR)controller with an advanced carrier-based pulse width modulation scheme.This approach efficiently balances capacitor voltage,minimizes steady-state error,and strongly suppresses both zero and third-order harmonics resulting in reduced total harmonic distortion and enhanced voltage regulation.Additionally,a novel switching algorithm simplifies the design and implementation,further lowering voltage stress across switches.Extensive simulation results validate the performance under various resistive and resistive-inductive load conditions,demonstrating compliance with IEEE-519 THD standards and robust operation under dynamic changes.The proposed sensorless PR-controlled 15-PUC inverter thus offers a compelling,cost-effective solution for efficient power conversion in next-generation renewable energy systems. 展开更多
关键词 PUC packed U cell MLI multilevel inverter SLC sensorless controller PR proportional resonant controller PD phase disposition THD total harmonic distortion
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基于IFC数据格式的不同BIM模型空间对比方法 认领 引用
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作者 黄蕾 郑鹏 +1 位作者 汤学建 朱磊 《土木建筑工程信息技术》 2026年第1期74-79,共6页
传统BIM模型对比技术普遍依赖构件全局唯一标识符(GUID)进行版本迭代分析,其单软件适用性与工程实践中多源异构模型协助需求存在本质冲突。为了解决这一问题,本文首先研究了基于工业基础类(IFC4.0)的数据格式,旨在将不同平台和软件的BI... 传统BIM模型对比技术普遍依赖构件全局唯一标识符(GUID)进行版本迭代分析,其单软件适用性与工程实践中多源异构模型协助需求存在本质冲突。为了解决这一问题,本文首先研究了基于工业基础类(IFC4.0)的数据格式,旨在将不同平台和软件的BIM模型转换为统一的IFC数据格式,这一转换过程确保了BIM模型在不同平台和软件之间的无损传递和对比分析。其次,根据IFC语义字典标准,本文按照项目空间模型树的方式将模型空间进行组织和分类,从而降低了模型中空间对比分析的复杂度。此外,通过对比空间位置信息,形成实体对,并采用空间投影面积与空间包围盒方法来判断空间几何的一致性。最后,通过实际工程项目案例验证了该方法的准确性,证明了它能精准识别BIM模型间的空间差异。 展开更多
关键词 IFC数据 构件关联 构件ID 模型空间树
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Multi-task hierarchical network for semantic understanding of air traffic controller-pilot communication 认领 引用
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作者 Xiaoxiao ZHANG Qihan DENG +4 位作者 Yang YANG Shengsheng QIAN Yi HUI Yanbo ZHU Kaiquan CAI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期499-515,共17页
Flight situational awareness in civil aviation relies on the semantic understanding of both the key details and the full picture from the Air Traffic Controller(ATCo)and pilot communication.This paper proposes a novel... Flight situational awareness in civil aviation relies on the semantic understanding of both the key details and the full picture from the Air Traffic Controller(ATCo)and pilot communication.This paper proposes a novel end-to-end Multi-Task Hierarchical Network(MTHN)for automatically understanding ATCo-pilot communication,handling slot filling,role detection,and intent recognition at different levels while adaptively integrating them.Specifically,we introduce a wordbased knowledge-masked slot distillation module that constructs an ATC knowledge base to dynamically mask keywords during teacher-student distillation.Considering the distinct intent differences between ATCos and pilots,we design a sentence-based role-aware intent attention module that extracts role label space vectors as context to enrich intent representations.To exploit the complementarity across different semantic levels in ATCo-pilot communication,we explicitly develop an adaptive bi-interaction flow module that dynamically explores semantic dependencies among tasks.Extensive experiments on real-world datasets collected in China show the superior performance of MTHN,compared to state-of-the-art baselines in both general natural language understanding and ATC-specific text processing.Our results highlight that MTHN achieves 99.26%,97.25%,and 96.22%accuracy across key slots,as well as 96.59%accuracy in speaker role classification.Moreover,it can perceive multi-label deep intents behind sentences.These analytical findings demonstrate the potential to reduce human errors in high-concurrency ATCo-pilot interactions under dense operational conditions. 展开更多
关键词 Air traffic control Attention mechanism Hierarchical modeling Multi-task learning Semantic understanding
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A Sliding Mode Controller Based on Timoshenko Beam Theory Developed for a Tendon-driven Robotic Wrist 认领 引用
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作者 Shifa Sulaiman Mohammad Gohari +1 位作者 Francesco Schetter Fanny Ficuciello 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1451-1463,共13页
Development of dexterous robotic joints is essential for advancing manipulation capabilities in robotic systems.This paper presents a design and an implementation of a tendon-driven robotic wrist joint,together with a... Development of dexterous robotic joints is essential for advancing manipulation capabilities in robotic systems.This paper presents a design and an implementation of a tendon-driven robotic wrist joint,together with an efficient Sliding Mode Controller(SMC)for precise motion control.The wrist mechanism is modelled using the Timoshenko-based approach to accurately capture its kinematic and dynamic properties,which serve as the foundation for tendon force calculations within the controller.The proposed SMC is designed to deliver fast dynamic response and computational efficiency,enabling accurate trajectory tracking under varying operating conditions.The effectiveness of the proposed controller is validated through comparative analyses with existing controllers for similar wrist mechanisms.The proposed SMC demonstrated superior performance,validated through both simulation and experimental studies.The Root Mean Square Error(RMSE)range in simulation is found to be approximately 1.67×10-2radians,while experimental validation yielded an error of 0.2 radians.Additionally,the controller achieved a settling time of less than 3 seconds and a steady-state error below 10-1radians,consistently observed across both simulation and experimental evaluations.Comparative analyses with other controllers confirmed that the developed SMC surpassed alternative control strategies in motion accuracy,rapid convergence,and steady-state precision,contributing to enhanced dexterity.This work establishes a foundation for future exploration of tendon-driven wrist mechanisms and control strategies in robotic applications. 展开更多
关键词 Tendon-driven robot Robotic wrist Sliding mode controller Timoshenko beam theory
An Improved PID Controller Based on Artificial Neural Networks for Cathodic Protection of Steel in Chlorinated Media 认领 引用
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作者 José Arturo Ramírez-Fernández Henevith G.Méndez-Figueroa +3 位作者 Sebastián Ossandón Ricardo Galván-Martínez Miguel Ángel Hernández-Pérez Ricardo Orozco-Cruz 《Computers, Materials & Continua》 SCIE EI 2026年第3期624-640,共17页
In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawate... In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawater,and NS4 using electrochemical impedance spectroscopy(EIS)to monitor the evolution of the substrate surface,which affects the current required to reach the protection potential(Eprot).Experimental data were collected as training datasets and analyzed using statistical methods,including box plots and correlation matrices.Subsequently,ANNs were applied to predict the current demand at different exposure times,enabling the estimation of electrochemical parameters(limiting voltage values)that can be used to optimize a self-regulating ICCP system.The obtained electrochemical parameters were then used,through Particle Swarm Optimization(PSO),to fine-tune an ANN-based proportional-integral-derivative(PID)controller for the ICCP system. 展开更多
关键词 Artificial neural networks(ANNs) corrosion impressed current cathodic protection(ICCP) proportional integral derivative(PID)corrosion control particle swarm optimization(PSO) statistical analysis
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基于IFC标准的桥梁建养一体化信息管理研究 认领 引用
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作者 张克右 刘新华 +2 位作者 袁勤 邬俊峰 罗辉 《土木工程与管理学报》 2026年第3期96-107,共12页
桥梁工程正由“建养分离”向“建养并重”转型,传统管理模式下建设与养护阶段信息割裂、数据复用率低。本文提出一种基于IFC标准的桥梁建养一体化信息管理框架。通过扩展IFC桥梁属性集并融合工程系统分解结构(EBS)编码体系,实现全生命... 桥梁工程正由“建养分离”向“建养并重”转型,传统管理模式下建设与养护阶段信息割裂、数据复用率低。本文提出一种基于IFC标准的桥梁建养一体化信息管理框架。通过扩展IFC桥梁属性集并融合工程系统分解结构(EBS)编码体系,实现全生命周期信息的标准化表达与集成;构建基于HBase的BIM数据库,支持海量IFC数据的高效存储与查询;开发集成BIM模型展示、监测数据可视化、4D施工模拟及文档管理等功能的一体化平台。结果表明,该框架能有效解决信息孤岛问题,提升了桥梁建养管理的信息化水平,为全生命周期管理提供了可行技术路径。 展开更多
关键词 桥梁建养一体化 数字化平台 IFC标准 BIM EBS编码 建设工程生命周期信息管理
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工程三维电子文件中性格式归档的合规性问题研究——以STEP/IFC为例 认领 引用
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作者 周志钢 胡蝶 +1 位作者 张勇 薛志诚 《档案学刊》 2026年第4期54-64,共11页
工程三维电子文件如何由业务核心数据转化为正式档案,是数字化转型与单套制改革背景下工程档案管理亟待回应的问题。中性格式归档虽已获得一定规范支撑,但三维电子文件能否作为档案客体被制度接纳,格式转换能否满足质量要求,长期保存风... 工程三维电子文件如何由业务核心数据转化为正式档案,是数字化转型与单套制改革背景下工程档案管理亟待回应的问题。中性格式归档虽已获得一定规范支撑,但三维电子文件能否作为档案客体被制度接纳,格式转换能否满足质量要求,长期保存风险能否持续管控,仍需系统论证。文章基于档案学“三要素”理论和电子档案真实性、完整性、可用性、安全性要求,引入面向格式转换质量的一致性检测维度,构建“制度—技术—风险”三维合规性分析框架;并以面向机械设备类对象的STEP标准与面向建筑布置类对象的IFC标准为例,分别考察其制度依据、技术承载能力与风险治理条件。研究认为,在原始格式与中性格式并存、元数据关联、转换验证和持续管控等条件下,STEP与IFC能够为工程三维电子文件正式归档提供合规支撑。 展开更多
关键词 工程三维电子文件 中性格式归档 合规性 STEP IFC
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基于IFC标准的铁路股道BIM模型快速构建方法 认领 引用
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作者 曾畅 刘跃华 《科技视界》 2026年第8期39-44,共6页
近年来,建筑信息模型(BIM)技术在铁路工程设计领域得到广泛应用,众多铁路项目已明确要求将BIM模型作为主要设计交付成果之一。铁路股道作为铁路工程的核心设施,其建模质量与效率直接影响整体项目成效。针对当前铁路股道BIM建模中存在的... 近年来,建筑信息模型(BIM)技术在铁路工程设计领域得到广泛应用,众多铁路项目已明确要求将BIM模型作为主要设计交付成果之一。铁路股道作为铁路工程的核心设施,其建模质量与效率直接影响整体项目成效。针对当前铁路股道BIM建模中存在的数据标准不统一和建模效率低的问题,本文提出了一种基于工业基础类(IFC)的铁路股道BIM模型快速构建方法,并据此开发了原型系统。经实际项目验证,该方法能够高效自动生成符合现行铁路行业BIM标准的股道信息模型,相较于传统人工建模方式,其效率得到显著提升。 展开更多
关键词 工业基础类(IFC) 铁路工程 铁路股道 建筑信息模型(BIM)
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A Dynamic Matrix Controller with Feedforward for Flow Field in Intermittent Transonic Wind Tunnels 认领 引用
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作者 DU Ning ZHU Wenjie +2 位作者 YAO Dan ZOU Xinlei QIN Jianhua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第1期55-72,共18页
Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(... Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(PID)control strategy fails to achieve the Mach number control error target of 0.001 and is inept at resisting flow field disturbances caused by rapid changes in angle of attack.Aiming at this problem,this study takes the intermittent transonic wind tunnel of China Aerodynamics Research and Development Center as the research object and optimizes the wind tunnel control system for its characteristics of multi-input multi-output(MIMO),large time delay and nonlinearity.First,the control system structure is reconstructed by introducing ejection pressure as a controlled variable to reduce the time lag from the main pressure regulating valve to the test section,and selecting static pressure instead of Mach number as a controlled variable to weaken the nonlinear coupling between Mach number and static pressure.Second,based on the first-order plus dead time process model of the wind tunnel,a MIMO dynamic matrix controller(DMC)for wind tunnel flow field is designed.Considering the predictable nature of angle-of-attack changes,a feedforward compensation strategy is integrated into the DMC to mitigate the pressure disturbance in the test section caused by the variation of angle of attack.Third,a complete tuning strategy for DMC parameters including sampling time,prediction horizon,control horizon and weight coefficients is formulated according to the wind tunnel model parameters under different Mach numbers.Experimental validations through practical blowing tests are carried out at Mach numbers of 0.578,0.675,0.714 and 0.822 to compare the control performance of the proposed feedforward DMC strategy with the traditional PID control and DMC without feedforward compensation.The results show that the proposed strategy stably controls the Mach number error within 0.001,and significantly improves the stagnation pressure control accuracy and anti-disturbance capability of the wind tunnel flow field.Moreover,the strategy exhibits excellent repeatability and robustness under different Mach number conditions.This study effectively solves the problem of high-precision flow field control under the rapid change of angle of attack in intermittent transonic wind tunnels,and provides a technical reference for the flow field control of complex fluid test devices such as hypersonic wind tunnels. 展开更多
关键词 intermittent transonic wind tunnel flow field control dynamic matrix controller(DMC) feedforward compensation multi-input multi-output(MIMO)system parameter tuning
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桥梁工程实体-属性的IFC管理模式与实现方法 认领 引用
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作者 田宗鑫 《中文科技期刊数据库（引文版）工程技术》 2026年第1期180-184,共5页
随着BIM技术在桥梁工程中的深入应用，IFC（Industry Foundation Classes）标准作为开放的数据模型，为实现全生命周期信息集成提供了基础。然而，现有IFC标准在桥梁领域的实体描述存在空缺，难以支持设计、施工、运维各阶段的数据贯通... 随着BIM技术在桥梁工程中的深入应用，IFC（Industry Foundation Classes）标准作为开放的数据模型，为实现全生命周期信息集成提供了基础。然而，现有IFC标准在桥梁领域的实体描述存在空缺，难以支持设计、施工、运维各阶段的数据贯通。本文基于IFC标准理论框架，系统开展了桥梁工程的实体扩展与属性集成研究。首先分析了IFC标准的层次结构与信息描述机制，明确了属性集、实体类型及其关联规则；进而提出了桥梁系统数据的扩展路径，构建了包含物理实体（如梁、墩、塔）与空间实体（上部、中部、下部结构）的层次化模型；在此基础上，结合桥梁工程全生命周期管理需求，定义并扩展了四类属性集（基础参数、病害参数、评价参数、运维数据），实现了基于IFC的桥梁信息结构化存储与动态关联。本研究期望为桥梁工程数字化建模提供了标准化、可扩展的IFC实施路径，有助于推动BIM技术在桥梁全生命周期中的深度应用。 展开更多
关键词 桥梁工程 IFC标准 实体扩展 属性集 信息集成 BIM
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基于TransE模型的IFC-BIM语义信息提取方法 认领 引用 被引量：6
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作者 李朝奎 谢梦愿 +1 位作者 吕强 唐至娜 《地球信息科学学报》 EI CSCD 北大核心 2025年第6期1263-1274,共12页
【目的】针对IFC标准的建筑信息模型(BIM)在实际应用中存在几何优先、语义弱化、跨软件语义丢失等问题,借鉴知识图谱及其推理算法(TransE)模型,将BIM模型信息进行网络化语义表达,通过增强模型的几何和语义关联性,解决跨平台交互语义丢... 【目的】针对IFC标准的建筑信息模型(BIM)在实际应用中存在几何优先、语义弱化、跨软件语义丢失等问题,借鉴知识图谱及其推理算法(TransE)模型,将BIM模型信息进行网络化语义表达,通过增强模型的几何和语义关联性,解决跨平台交互语义丢失问题。【方法】以Revit软件库自带三层建筑模型为实验对象,将TransE模型应用于BIM语义信息的提取。BIM语义信息首先分解为构件语义、关联语义、坐标语义3种,建立构件节点的IfcEntity动态标签及关联节点的静态关系属性标签,提取了2 453个BIM语义节点、14 844条关联关系。【结果】实验及结果表明:(1)知识图谱能有效地将BIM模型构件及复杂关系进行图形化表达;(2)对比不同参数组合下TransE模型性能指标(MRRHits@n)发现:嵌入维度与模型性能成正比,学习率与模型性能成反比;(3)当嵌入维度为200、学习率为0.000 5时,模型的评价指标最优;(4)通过搜索系统查询所有构件节点进行结果验证发现,BIM构件语义信息提取成功率为94.47%。【结论】本文所倡导方法适用于BIM语义信息的提取及其更深层次的语义分析,研究结果为BIM与GIS集成提供一种语义转换的新途径。 展开更多
关键词 BIM模型 IFC 语义信息提取 知识图谱 TransE模型
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