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Practice and Improvement of Quality Inspection System for Highway Engineering 认领 引用
1
作者 Jianzhi Li Shili Zhang +2 位作者 Linlong Wang Chencheng Wang Yanyan Li 《Journal of Architectural Research and Development》 2026年第3期56-62,共7页
Highway engineering construction involves numerous processes and has a long construction cycle,making it challenging to control the construction quality.The quality inspection system for highway engineering serves as ... Highway engineering construction involves numerous processes and has a long construction cycle,making it challenging to control the construction quality.The quality inspection system for highway engineering serves as an important basis for engineering quality inspection and safety management,providing clear standards and parameter ranges for engineering inspections.Therefore,the completeness of the inspection quality system directly impacts the effectiveness of engineering quality control.This paper mainly analyzes the composition of the quality inspection system for highway engineering,summarizes the current practice status of the system,and proposes optimization paths for its practical implementation,thereby providing references for the high-quality development of highway engineering. 展开更多
关键词 Quality inspection system for highway engineering Inspection equipment Inspection process Practical assessment
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Drive-by spatial offset detection for high-speed railway bridges based on fusion analysis of multi-source data from comprehensive inspection train 认领 引用
2
作者 Chuang Wang Jiawang Zhan +4 位作者 Nan Zhang Yujie Wang Xinxiang Xu Zhihang Wang Zhen Ni 《Railway Engineering Science》 EI 2026年第1期128-148,共21页
The spatial offset of bridge has a significant impact on the safety,comfort,and durability of high-speed railway(HSR)operations,so it is crucial to rapidly and effectively detect the spatial offset of operational HSR ... The spatial offset of bridge has a significant impact on the safety,comfort,and durability of high-speed railway(HSR)operations,so it is crucial to rapidly and effectively detect the spatial offset of operational HSR bridges.Drive-by monitoring of bridge uneven settlement demonstrates significant potential due to its practicality,cost-effectiveness,and efficiency.However,existing drive-by methods for detecting bridge offset have limitations such as reliance on a single data source,low detection accuracy,and the inability to identify lateral deformations of bridges.This paper proposes a novel drive-by inspection method for spatial offset of HSR bridge based on multi-source data fusion of comprehensive inspection train.Firstly,dung beetle optimizer-variational mode decomposition was employed to achieve adaptive decomposition of non-stationary dynamic signals,and explore the hidden temporal relationships in the data.Subsequently,a long short-term memory neural network was developed to achieve feature fusion of multi-source signal and accurate prediction of spatial settlement of HSR bridge.A dataset of track irregularities and CRH380A high-speed train responses was generated using a 3D train-track-bridge interaction model,and the accuracy and effectiveness of the proposed hybrid deep learning model were numerically validated.Finally,the reliability of the proposed drive-by inspection method was further validated by analyzing the actual measurement data obtained from comprehensive inspection train.The research findings indicate that the proposed approach enables rapid and accurate detection of spatial offset in HSR bridge,ensuring the long-term operational safety of HSR bridges. 展开更多
关键词 High-speed railway bridge Drive-by inspection Spatial offset Multi-source data fusion Deep learning
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Design and Control of a Bionic Inspection Robot for Suspension Bridge Main Cables 认领 引用
3
作者 Shengkai Liu Chao Wang +1 位作者 Xiaoqiang Yuan Ning Ding 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第1期159-174,共16页
The main cable is the primary load-bearing component of a suspension bridge,continuously exposed to harsh environmental conditions,such as wind and rain,throughout the year.These adverse conditions contribute to varyi... The main cable is the primary load-bearing component of a suspension bridge,continuously exposed to harsh environmental conditions,such as wind and rain,throughout the year.These adverse conditions contribute to varying degrees of degradation and damage to the main cable,necessitating regular inspections to prevent catastrophic failures.Traditional manual inspection methods not only suffer from low efficiency but also pose significant safety risks to personnel.To address these challenges and ensure the safe and effective inspection of suspension bridge main cables,this study introduces a novel cooperative climbing robot,designated as Main Cable Robot Version II(CCRobot-M-II),inspired by the locomotion of the inchworm.The robot employs an alternating opening and closing mechanism of four gripper sets,mimicking the inchworm's movement to achieve efficient crawling along the suspension bridge handrails.This paper provides a comprehensive analysis of the structural design,key components,and motion mechanisms of CCRobot-M-II.A detailed force analysis of the robot's crawling process is also presented,followed by the design of the control system and the development of an efficient motion control algorithm.Laboratory experiments demonstrate that the robot achieves a positional error of 00.64%during crawling,with a maximum average crawling speed of 7.6 m/min.Furthermore,the biomimetic design enables the robot to overcome obstacles up to 30 mm in height and possess the capability to handle suspension bridge cables with spans ranging from 740 to 1100 mm.Finally,CCRobot-M-II successfully conducted an inspection of the main cable on a suspension bridge,marking the world's first successful deployment of a climbing robot for main cable inspection on a suspension bridge. 展开更多
关键词 Bionic design Suspension bridge Main cable inspection Climbing robot Motion control
Path Planning for Substation UAV Inspection Based on 3D Point Cloud Mapping 认领 引用
4
作者 Yanping Chen Zhengxin Zhan +3 位作者 Xiaohui Yan Le Zou Yucheng Zhong Hailei Wang 《Computers, Materials & Continua》 SCIE EI 2026年第5期2138-2159,共22页
With the increasing complexity of substation inspection tasks,achieving efficient and safe path planning for Unmanned Aerial Vehicles in densely populated and structurally complex three-dimensional(3D)environments rem... With the increasing complexity of substation inspection tasks,achieving efficient and safe path planning for Unmanned Aerial Vehicles in densely populated and structurally complex three-dimensional(3D)environments remains a critical challenge.To address this problem,this paper proposes an improved path planning algorithm—Random Geometric Graph(RGG)-guided Rapidly-exploring Random Tree(R-RRT)—based on the classical Rapidly-exploring Random Tree(RRT)framework.First,a refined 3D occupancy grid map is constructed from Light Detection and Ranging point cloud data through ground filtering,noise removal,coordinate transformation,and obstacle inflation using spherical structuring elements.During the planning stage,a dynamic goal-biasing strategy is introduced to adaptively adjust the sampling direction,the sampling distribution is optimized using a pre-generated RGG,and collision detection is accelerated via a K-Dimensional Tree structure.After initial trajectory generation,redundant nodes are eliminated via greedy pruning,and a curvature-minimizing gradient-based optimizationmethod is applied to smooth the trajectory.Experimental results conducted in a simulated substation environment demonstrate that,compared with mainstream path planning algorithms,the proposed R-RRT achieves superior performance in terms of path length,planning time,and trajectory smoothness.Comprehensive analysis shows that the proposed method significantly enhances trajectory quality,planning efficiency,and operational safety,validating its applicability and advantages for high-precision 3D path planning in complex substation inspection scenarios. 展开更多
关键词 R-RRT algorithm unmanned aerial vehicles path planning random geometric graph 3D occupancy grid map substation inspection
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Innovative practice and organizational management of the“Dual-Configuration”scheme for high-speed comprehensive inspection and test trains 认领 引用
5
作者 Liang Chen Fang Zhao +3 位作者 Jingyuan Du Xiaopei Yao Yanfei Ju An Jin 《Railway Sciences》 2026年第3期396-410,共15页
Purpose-This paper presents an investigation of the innovative“Dual Configuration”management model implemented in China’s high-speed rail comprehensive inspection and test train initiative.Against the backdrop of c... Purpose-This paper presents an investigation of the innovative“Dual Configuration”management model implemented in China’s high-speed rail comprehensive inspection and test train initiative.Against the backdrop of continuous iteration in global railway technology,an evaluation is conducted of the advancements in organizational structure,resource allocation,and process standardization facilitated by this framework.Design/methodology/approach-A systematic analysis is employed of multi-tiered collaborative mechanisms anchored in a matrix-based joint working group,complemented by a value-tree analytical method to quantify cost-benefit optimization across the full lifecycle of train assets.This integrated approach encompasses dynamic resource-scheduling protocols and comprehensive risk-control systems.Findings-Results indicate the“Dual-Configuration”model achieves dual operational functionality within a unified platform,effectively compressing project duration and reducing lifecycle costs.Value tree analysis reveals multidimensional cost-saving mechanisms through platform sharing,consolidated maintenance systems,and parallel management processes.Field implementation validates that this model significantly enhances equipment utilization and mission responsiveness while supporting integrated Electric Multiple Unit(EMU)and inspection technologies.Originality/value-Transferable management paradigms for high-speed rail system development and safety assurance are established in this research paper.The value-tree model provides a systematic framework for evaluating the economic benefits of dual-use platforms,offering quantitative decision-making support for complex infrastructure investments.Furthermore,concrete optimization strategies and cross-industry applications for the“Dual-Configuration”framework are proposed. 展开更多
关键词 High-speed comprehensive inspection and test train Dual-Configuration Technological innovation EMU technology
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Review of Deep Learning-Based Intelligent Inspection Research for Transmission Lines 认领 引用
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作者 Jingjing Liu Chuanyang Liu 《Computers, Materials & Continua》 SCIE EI 2026年第5期155-198,共44页
Intelligent inspection of transmission lines enables efficient automated fault detection by integrating artificial intelligence,robotics,and other related technologies.It plays a key role in ensuring power grid safety... Intelligent inspection of transmission lines enables efficient automated fault detection by integrating artificial intelligence,robotics,and other related technologies.It plays a key role in ensuring power grid safety,reducing operation and maintenance costs,driving the digital transformation of the power industry,and facilitating the achievement of the dual-carbon goals.This review focuses on vision-based power line inspection,with deep learning as the core perspective to systematically analyze the latest research advancements in this field.Firstly,at the technical foundation level,it elaborates on deep learning algorithms for intelligent transmission line inspection based on image perception,covering object detection algorithms,semantic segmentation algorithms,and other relevant methodologies.Secondly,in application practice,it summarizes deep learning-based intelligent inspection applications across six dimensions—including detection of power insulators and their defects,transmission tower detection,power line feature extraction,metal fitting and defect detection,thermal fault diagnosis of power components,and safety hazard detection in power scenarios,and further lists relevant public datasets.Finally,in response to current challenges,it identifies five key future research directions,such as the deep integration of multiple learning paradigms,multi-modal data fusion,collaborative application of large and small models,cloud-edge-end collaborative integration,and multi-agent cluster control.This paper reviews and analyzes numerous deep learning-based intelligent detectionmethods for aerial images,comprehensively explores the application of deep learning in Unmanned Aerial Vehicle(UAV)inspection scenarios,and thus provides valuable theoretical and practical references for scholars engaged in smart grid automated inspection research. 展开更多
关键词 Intelligent inspection transmission lines deep learning defect detection
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Development Trends of Internal Inspection Equipment and Technologies for Long-Distance Oil and Gas Pipelines 认领 引用
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作者 Bin Liu Zheng Lian +5 位作者 Ye Tian Xinyang Dong Rongxue Li Luyao He Meng Li Lijian Yang 《Instrumentation》 2026年第1期1-25,共25页
As critical national infrastructure,oil and gas pipelines are hailed as"energy arteries".In-line inspection(ILI)is internationally recognized as the most effective method for pipeline safety maintenance.This... As critical national infrastructure,oil and gas pipelines are hailed as"energy arteries".In-line inspection(ILI)is internationally recognized as the most effective method for pipeline safety maintenance.This paper sorts out and compares the current mainstream pipeline ILI technology systems,including diameter variation,Magnetic Flux Leakage(MFL),weak magnetic,dual magnetic field,eddy current,balanced electromagnetic,piezoelectric ultrasonic,and electromagnetic ultrasonic technologies,covering mainstream pipeline damage types such as geometric deformation,corrosion,wall thinning,stress concentration areas,composite defects,surface and near-surface cracks,buried microcracks,and weld cracks.Among them,diameter variation detectors mainly target pipeline geometric deformation and are mostly used for passability auxiliary judgment before ILI construction;MFL detection features fast speed,high sensitivity,mature theory,and strong penetration,enabling efficient detection of macro volume defects such as corrosion;weak magnetic and dual magnetic field technologies can identify stress concentration areas,but MFL,weak magnetic,and dual magnetic field methods are only applicable to ferromagnetic materials,and the quantitative relationship between magnetic signals and defects needs further improvement;eddy current and balanced electromagnetic methods excel in high-precision detection of surface and near-surface cracks in conductive materials with relatively fast detection speed,and the current core challenges are enhancing deep defect penetration capability and reducing the interference of lift-off value on signals;piezoelectric ultrasonic and electromagnetic ultrasonic technologies have a wide material adaptation range and high detection precision,and can assist in identifying composite defects and weld cracks.However,piezoelectric ultrasonic relies on couplants,has strict requirements on the flatness of the detection environment,and relatively low detection speed.The current key challenge lies in improving the signal-to-noise ratio through signal processing.Based on different principles,various technologies form a complement to each other,jointly constructing a detection system with wide coverage and strong adaptability.By elaborating on the principles,performance characteristics,application scenarios,and domestic and foreign research trends of each technology,this paper clarifies the positioning and advantages of different technologies in pipeline damage detection,providing clear technical selection references for pipeline safety maintenance personnel and helping to improve the scientificity and efficiency of oil and gas pipeline safety operation and maintenance. 展开更多
关键词 pipeline in-line inspection magnetic flux leakage electromagnetic ultrasonic testing eddy current testing pipeline integrity assessment
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Key technologies of China high‑speed comprehensive inspection train:CIT450 认领 引用 被引量：1
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作者 Peng Dai Hailang Li +3 位作者 Fadeng Wang Xinyu Tian Hao Wang Xiaodi Xu 《Railway Engineering Science》 EI 2025年第3期414-440,共27页
The China comprehensive inspection train(CIT)is designed for evaluating railway infrastructure to ensure safe railway operations.The CIT integrates an array of inspection devices,capable of simultaneously assessing ra... The China comprehensive inspection train(CIT)is designed for evaluating railway infrastructure to ensure safe railway operations.The CIT integrates an array of inspection devices,capable of simultaneously assessing railway health condition parameters.The CIT450,representing the second generation,can reach a top speed of 450 km/h with inspection on the infrastructure.This paper begins by outlining the global evolution of inspection trains.It then focuses on the critical technologies underlying the CIT450,which include:(1)real-time inspection data acquisition with spatial and temporal synchronization;(2)intelligent fusion and centralized management of multi-source inspection data,enabling remote supervision of the inspection process;(3)technologies in inspecting track,train–track interaction,catenary,signalling systems,and train operating environment;and(4)AI-driven analysis and correlation of inspection data.The future developmental directions for comprehensive inspection trains are discussed finally.The CIT450’s approach to real-time railway health monitoring can enrich traditional inspection means,operational,and maintenance methods by enhancing inspection efficiency and automating railway maintenance. 展开更多
关键词 Railway infrastructure Non-destructive testing Track inspection vehicle Track geometry car High-speed railway Axle box acceleration Wheel-rail contact force Overhead catenary system inspection Signalling system inspection
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Composite anti-disturbance safety control for on-orbit inspection of spacecraft 认领 引用
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作者 Kun WANG Enmei WANG +1 位作者 Bo TIAN Jianzhong QIAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期516-529,共14页
This paper addresses the anti-disturbance safety control problem in spacecraft inspection missions,considering multiple positional obstacle constraints and attitude restrictions,both forbidden and mandatory,with logic... This paper addresses the anti-disturbance safety control problem in spacecraft inspection missions,considering multiple positional obstacle constraints and attitude restrictions,both forbidden and mandatory,with logical relationships.To address this challenge,a novel Composite AntiDisturbance Safety Control(CADSC) method is proposed,which combines control barrier functions with disturbance observers.The proposed CADSC framework achieves guaranteed safety control under complex constraints while explicitly addressing external disturbances and model uncertainties.First,positional obstacles are modeled using quadratic surface equations.At the same time,attitude constraints are formulated with logical operators,incorporating the interactions among star trackers,optical cameras,solar panels,and space environment vectors.Then,safe velocity and angular velocity are computed by solving Quadratic Programming(QP) problems based on the spacecraft's kinematic equations.The simplicity and disturbance-free nature of the kinematic model allow for efficient and accurate solutions to the QP problem,ensuring real-time applicability in mission-critical scenarios.Furthermore,proportional-like position and attitude controllers are developed to track the computed safe velocities.These controllers incorporate disturbance estimation techniques to compensate for external disturbances and model uncertainties,thereby enhancing the spacecraft's robustness.Finally,numerical simulations are conducted to validate the effectiveness of the proposed control strategy. 展开更多
关键词 Composite anti-disturbance control Safety control Control barrier function Disturbance rejection On-orbit inspection
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Enhancing Power Enterprise Inspection and Supervision: A LoRA-Based Lightweight LLM Framework Integrating Retrieval-Augmented Generation and Prompt Engineering 认领 引用
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作者 Jianfeng Liu Yongjiao Yang +4 位作者 Kangyi Yang Changhua Hu Zijia Xu Qingguo Shi Yi Su 《Computers, Materials & Continua》 SCIE EI 2026年第8期2256-2275,共20页
Power enterprise inspection and supervision require greater intelligence,efficiency,and standardization;however,existing approaches are limited by inefficient knowledge retrieval,inaccurate issue identification,and in... Power enterprise inspection and supervision require greater intelligence,efficiency,and standardization;however,existing approaches are limited by inefficient knowledge retrieval,inaccurate issue identification,and insufficient support for standardized reporting and rectification tracking.This study proposes a lightweight,domain-adaptive large language model(LLM)framework based on Low-Rank Adaptation(LoRA),integrating Retrieval-Augmented Generation(RAG)and structured prompt engineering to enable evidence-grounded inspection tasks.The framework achieves parameter-efficient adaptation through low-rank decomposition and constructs a domain-specific multimodal knowledge base,enhancing output traceability,consistency,and task generalization.A key contribution is the introduction of a Sensitive Information Control Gate,which enforces role-based access control and automated redaction,ensuring secure and compliant generation in regulated environments while preserving traceability.Experimental results demonstrate that the proposed method achieves improved performance over the base model and demonstrates competitive effectiveness under the evaluated conditions,supported by statistical analysis(paired t-test,p<0.01,bootstrap 95%confidence intervals),while maintaining high parameter efficiency with only 0.4%–0.5%trainable parameters. 展开更多
关键词 Large language models LoRA fine-tuning retrieval-augmented generation prompt engineering inspection and supervision power enterprise governance
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A Collaborative Deployment Method of UAV Hangar Siting for Forest Inspection 认领 引用
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作者 QIAN Long LIU Jixin +2 位作者 JIANG Hao ZENG Weili YANG Zhao 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第3期371-385,共15页
The deployment of unmanned aerial vehicle(UAV)hangars is critical to the efficiency of forest inspections,significantly influencing both infrastructure construction costs and operational expenses.Existing research on ... The deployment of unmanned aerial vehicle(UAV)hangars is critical to the efficiency of forest inspections,significantly influencing both infrastructure construction costs and operational expenses.Existing research on hangar selection often overlooks the complex constraints posed by forest environments,such as topographical variability,power limitations,and coverage demands.To tackle these challenges,this paper presents a multiobjective optimization approach for UAV hangar selection in forest environments,aiming to reduce construction costs while maximizing coverage under complex topographical constraints.The process begins with the preliminary selection of candidate hangars,utilizing geographic data such as the digital elevation model(DEM),meteorological data,and power/signal coverage.A multi-criteria decision analysis(MCDA)method evaluates and scores candidates based on rigid and flexible criteria,including topographical suitability,wind speed,and power supply availability.A multi-objective optimization model is then developed to optimize the layout of hangars,incorporating critical constraints such as topographical characteristics,UAV power limits,and coverage redundancy.To solve this optimization problem,the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)is applied.Experimental results demonstrate that the proposed method outperforms traditional approaches,such as the greedy algorithm and the single-objective genetic algorithm.Specifically,the NSGA-Ⅱmethod reduces the number of hangars by 8.3%,and increases the coverage by 1.6%.It also significantly accelerates the convergence,demonstrating superior performance and efficiency.This methodology provides a comprehensive solution for UAV deployment in forest inspections and can be adapted to other complex topography. 展开更多
关键词 forest inspection unmanned aerial vehicle(UAV)hangar deployment multi-criteria decision analysis(MCDA) topographical constraints multi-objective optimization
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Research on UAV Inspection Image Defect Recognition and Operation & Maintenance Efficiency Enhancement for Photovoltaic Power Stations 认领 引用
12
作者 ZHAO Yuming 《外文科技期刊数据库（文摘版）工程技术》 2026年第7期138-142,共5页
This study focuses on the field of photovoltaic (PV) power station operation and maintenance (O&M), exploring the application of unmanned aerial vehicle (UAV) inspection technology in image defect recognition and ... This study focuses on the field of photovoltaic (PV) power station operation and maintenance (O&M), exploring the application of unmanned aerial vehicle (UAV) inspection technology in image defect recognition and O&M efficiency enhancement, as well as the associated challenges. The paper systematically analyzes the current application status and basic workflow of UAV inspection technology, identifying the major bottlenecks in complex-scene image acquisition, accurate defect recognition and classification, result-to-action conversion efficiency, and information chain connectivity. In response to these issues, the study proposes a comprehensive implementation pathway that includes: optimizing image acquisition schemes, establishing multi-type defect recognition models and classification standards, constructing a graded response mechanism, connecting the information chain, and improving personnel capability support. Through the collaborative design of technological pathways and management mechanisms, this study aims to provide theoretical references and practical guidance for achieving intelligent, precise, and efficient O&M of PV power stations. 展开更多
关键词 Photovoltaic power station UAV inspection Image recognition Defect detection O&M efficiency
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Intelligent Inspection and Closed-loop Management Innovation of Campus Fire Safety 认领 引用
13
作者 Lantao Li 《Journal of Electronic Research and Application》 2026年第1期72-76,共5页
As universities expand in scale and diversify in functions,traditional fire safety management faces challenges such as inefficient inspections and difficulty in tracing hazards.Technological innovation is key to enhan... As universities expand in scale and diversify in functions,traditional fire safety management faces challenges such as inefficient inspections and difficulty in tracing hazards.Technological innovation is key to enhancing efficiency,focusing on the core needs of campus fire safety.Intelligent inspection technology is applied to facility monitoring,hazard identification,and risk alerts,establishing a closed-loop system of monitoring,identification,disposal,and feedback.By leveraging the characteristics of IoT,AI,and big data technologies,the innovative solutions encompass technological integration,process optimization,and responsibility enhancement.This research aims to help universities overcome traditional bottlenecks,strengthen fire safety safeguards,and drive management transformation toward precision,intelligence,and efficiency. 展开更多
关键词 University campus Fire safety Intelligent inspection Closed-loop management Technological innovation
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Design and Optimization of Visual Algorithms for Inspection Robots 认领 引用
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作者 Yong Zhang Zuling Tu +2 位作者 Yanan Qian Ruiyang Zhang Jin Li 《Journal of Electronic Research and Application》 2026年第4期228-234,共7页
As an important equipment for intelligent operation and maintenance,inspection robots have been widely used in high-risk and complex scenarios such as power,mining,and chemical industries.The visual system,as the“eye... As an important equipment for intelligent operation and maintenance,inspection robots have been widely used in high-risk and complex scenarios such as power,mining,and chemical industries.The visual system,as the“eyes”of inspection robots,undertakes tasks including image enhancement,navigation and positioning,target recognition,and error correction,and its performance directly affects the robots’autonomous operation capabilities.Currently,the visual algorithms of inspection robots still face several problems,such as poor adaptability to complex environments,insufficient navigation accuracy,difficulty in balancing target recognition accuracy and real-time performance,and weak adaptability of error correction.Combined with the current application status of inspection robots,this paper elaborates on the design ideas of the four major modules of visual algorithms and proposes optimization strategies for existing problems,providing references for improving the autonomous inspection capabilities of inspection robots and promoting the upgrading of intelligent inspection technology. 展开更多
关键词 Inspection robot Visual algorithm Design Optimization
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Research on Image Enhancement of Agricultural UAV Farmland Inspection under Low-Light Conditions 认领 引用
15
作者 TANG Li 《外文科技期刊数据库（文摘版）自然科学》 2026年第1期110-114,共5页
Low-light environments including dawn, dusk, overcast days and crop canopy shading commonly lead to multiple degradations of aerial images captured by agricultural unmanned aerial vehicles (UAVs). Such adverse conditi... Low-light environments including dawn, dusk, overcast days and crop canopy shading commonly lead to multiple degradations of aerial images captured by agricultural unmanned aerial vehicles (UAVs). Such adverse conditions compress image gray distribution, increase random dark noise and generate irregular local shadows, which damage detailed texture, true color information and clear target boundaries of farmland pictures, and further lower the precision of field pest identification, crop growth monitoring and sudden disaster quantification. Focusing on the practical service demands of modern smart agricultural inspection, this paper systematically sorts out three typical image degradation mechanisms triggered by insufficient illumination, dark noise accumulation and uneven shadow coverage, and proposes a targeted enhancement technical framework centered on effective crop feature restoration, authentic color retention and target edge optimization. From four core technical dimensions of adaptive illumination correction, directional noise suppression, hierarchical multi-scale texture reconstruction and terminal-oriented lightweight model optimization, the paper elaborates detailed implementation paths of low-light image enhancement for agricultural scenarios. Meanwhile, combined with practical agricultural project cases and relevant experimental data, this article discusses how enhanced images can be effectively embedded into the whole industrial chain of UAV farmland inspection covering pest diagnosis, seedling condition tracking and waterlogging-lodging disaster investigation. Relevant research proves that only combining image enhancement technology with real agricultural decision-making requirements can substantially improve the practicability and data availability of UAV aerial photography in actual farm management. 展开更多
关键词 low-light environment agricultural UAV farmland inspection image enhancement agricultural condition identification
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Research on the Application of Drone Technology in Building Structure Inspection 认领 引用
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作者 XIE Minxiang 《外文科技期刊数据库（文摘版）工程技术》 2026年第9期139-143,共5页
As structural safety in buildings receives increasing attention, traditional inspection methods—often complicated to operate, inefficient, and costly in labor—are no longer sufficient, calling for more efficient and... As structural safety in buildings receives increasing attention, traditional inspection methods—often complicated to operate, inefficient, and costly in labor—are no longer sufficient, calling for more efficient and intelligent monitoring solutions. Drones have gradually gained widespread application in structural inspection due to their mobility, wide coverage, and high data collection efficiency. This paper first analyzes the development background and current status of drone technology in building structure inspection, discussing the fundamental principles behind using drones equipped with high-definition cameras and various sensors to automatically detect and locate surface defects and structural damage. It further outlines the technical workflow involving image processing of aerial drone footage, real-time data transmission, and intelligent analysis, elaborating on the practical value of drones in inspecting diverse structures such as high-rise buildings, bridges, and historic buildings—including improved inspection efficiency, enhanced safety, and reduced maintenance costs. Finally, the paper summarizes the existing technical bottlenecks and challenges associated with drone applications and explores future prospects for innovation in structural inspection through integration with emerging technologies such as artificial intelligence and the Internet of Things. This study holds significant implications for advancing intelligent and efficient structural inspection and promoting urban safety management. 展开更多
关键词 drone technology structural inspection of buildings image data processing automatic recognition intelligent monitoring
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Research on Inspection Technology and Application of Connection Joints in Steel Structure Bridges 认领 引用
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作者 Wuhao Chen Xu Meng 《Journal of World Architecture》 2026年第1期35-42,共8页
To promptly identify and resolve quality issues in the connection joints of steel structure bridges and ensure the connection effectiveness of such bridges,this paper analyzes mainstream inspection technologies for we... To promptly identify and resolve quality issues in the connection joints of steel structure bridges and ensure the connection effectiveness of such bridges,this paper analyzes mainstream inspection technologies for welded joints,bolted joints,and riveted joints,based on the primary quality problems encountered in the connection joints of steel structure bridges.The aim is to provide references for the subsequent inspection of connection joints in steel structure bridge projects. 展开更多
关键词 Steel structure bridge Welded connection joint Bolted connection joint Riveted connection joint Inspection technology
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Practical Application of Low-Cost Visual Inspection Systems in Industrial Robot Integration 认领 引用
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作者 Chang Qi 《Journal of Electronic Research and Application》 2026年第3期108-114,共7页
In the transformation of industrial automation to smart manufacturing,visual inspection systems as critical sensing technologies are hindered by their high costs and algorithmic complexity,impeding the intelligent upg... In the transformation of industrial automation to smart manufacturing,visual inspection systems as critical sensing technologies are hindered by their high costs and algorithmic complexity,impeding the intelligent upgrading of small and medium-sized enterprises.This study focuses on low-cost visual inspection systems,enhancing performance through the selection of domestic industrial cameras,optimization of OpenCV and lightweight deep learning model algorithms,and the use of a C++parallel computing framework,thereby constructing a solution that balances accuracy and cost.Experiments demonstrate that the system achieves sub-millimeter-level positioning and highly reliable detection in scenarios such as assembly guidance and defect identification,significantly reducing hardware costs while maintaining millisecond-level response capabilities,providing a feasible path for the intelligent upgrading of small and medium-sized enterprises. 展开更多
关键词 Low-cost visual inspection system Industrial robot integration Defect identification Intelligent manufacturing
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Analysis of the Application of AI Visual Inspection Technology in Precision Mechanical Manufacturing Automation 认领 引用
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作者 Tianwei Zheng 《Journal of Electronic Research and Application》 2026年第6期27-32,共6页
In recent years,driven by the Industry 5.0 wave,precision mechanical manufacturing is accelerating its evolution toward ultra-precision,intelligence,and unmanned operation,posing unprecedented,stringent requirements f... In recent years,driven by the Industry 5.0 wave,precision mechanical manufacturing is accelerating its evolution toward ultra-precision,intelligence,and unmanned operation,posing unprecedented,stringent requirements for precision control,efficiency improvement,and cost optimization in the manufacturing process.As a core carrier of in-depth integration of artificial intelligence and industrial automation,AI visual inspection technology,with its advantages of non-contact inspection,real-time response,and adaptive learning,has gradually replaced traditional manual inspection and conventional machine visual inspection.It has become a key technical support for addressing pain points such as micro-defect identification,adaptation to complex working conditions,and full-process quality control in precision mechanical manufacturing.In this regard,this paper first analyzes the application scenarios of AI visual inspection technology in precision mechanical manufacturing automation,and then expounds the development trends of its applications in this field,to provide a reference for relevant researchers. 展开更多
关键词 AI visual inspection technology Precision mechanical manufacturing Automation Application
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Research on Safety Inspection and Renovation of Houses in Old Urban Residential Areas 认领 引用
20
作者 GONG Qiang 《外文科技期刊数据库（文摘版）工程技术》 2026年第3期075-080,共6页
With the acceleration of urbanization, old residential buildings have gradually exposed safety hazards such as structural aging and functional deficiency due to long-term service, seriously affecting the quality of li... With the acceleration of urbanization, old residential buildings have gradually exposed safety hazards such as structural aging and functional deficiency due to long-term service, seriously affecting the quality of life of residents and the overall image of the city. Based on the common safety problems faced by buildings in old urban residential areas at present, this paper explores the systematic thinking of safety inspection and renovation. The study clearly pointed out the core evaluation indicators of housing safety and, on the basis of field research and expert demonstration, established a multi-dimensional and all-coverage risk assessment system, and carried out comprehensive inspections in multiple aspects such as building structure, load-bearing capacity, and fire performance. The results of the tests indicated that the vast majority of old houses had varying degrees of safety hazards, and there was an urgent need to carry out risk classification rectification through targeted renovation measures. Based on the analysis of the tests, classified renovation plans were developed, which included both emergency risk prevention and control measures and long-term safety maintenance and environmental improvement, significantly enhancing the houses' ability to withstand disasters and their safety in use. This study not only provides a scientific assessment and practical guidance for the renovation of old urban residential areas, but also has positive significance for improving the level of urban renewal and promoting social harmony and stability. 展开更多
关键词 Old residential areas House safety inspection Risk assessment system Retrofit measures Urban renewal
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