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Portable Structure Surface Crack Detection System Based on Android Platform

Wuhan University Journal of Natural Sciences 2024年第2期29卷 154-164页

作者： wang huifeng PENG Haonan TANG Yu GUAN Yueyuan LIANG Yaru wang Lisha ZHAO Yu wang Xiaoyan GAO Rong HUANG He School of Electronics and Control Engineering Chang'an UniversityXi'an 710000ShaanxiChina Research Institute of Highway Ministry of Transport Beijing 100000China State Key Laboratory of Traction Power Southwest Jiaotong UniversityChengdu 610000SichuanChina Highway School Chang'an UniversityXi'an 710000ShaanxiChina

Cracks,potholes,and other defects often occur on infrastructure such as bridges,among which cracks are one of the most frequent defects.They have diverse shapes and are difficult to detect.Traditional manual inspection methods are inefficient and have low accuracy,while automated inspection machines are bulky and inconvenient to carry and use.Based on the shortcomings of existing detection technologies,this paper proposes a portable structural surface crack detection system based on the Android platform using a portable hand-held image acquisition device.The system captures cracks on the structure's surface and obtains high-definition crack images.Then,these images are transmitted to portable smartphone terminals through Wi-Fi.Next,the image is pre-processed using weighted averaging,grayscale linear transformation,and adaptive median filtering.Then,the improved Canny edge detection algorithm is applied to identify crack information,and the edge segmentation algorithm is used to determine the crack width.Finally,based on camera calibration,the pixels are converted into the length data required for actual measurement.The results show that the system is easy to operate,and it not only has crack storage and tracking functions,but also can effectively measure the crack width on the surface of components.The measurement accuracy of this system reaches the sub-pixel level,and in actual testing,compared with the crack width gauge,the maximum relative error does notexceed6.25%.

关键词： structural crack portable image processing detection accuracy crack parameter

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An Intelligent Bridge Multi-Dimension Deflection IoT Monitoring System Based on Laser Datum and Imaging

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Journal of Traffic and Transportation Engineering(English Edition) 2024年

作者： Dan Zhao huifeng wang Hao Du Haoyi Cheng Lu Peng Yaru Liang He Huang Yunmeng Li School of Electronic &Control Engineering Chang'an University Research Institute of Highway Ministry of Transport State Key Laboratory of Traction Power Southwest Jiaotong University

Aiming at the all-weather automatic monitoring of bridge structure health monitoring， an embedded bridge multi-dimensional (horizontal and vertical) deflection monitoring system based on dual laser references is proposed. The controller turns on the laser reference transmitter through instructions to emit the laser reference. The intelligent target system located in the middle of the span will calculate the multi-dimensional deflection and deformation information of the bridge structure according to the laser spot projected on the diffuse optical target， and pass this information through the wireless network communication unit transmits to the cloud platform to realize real-time monitoring of the bridge structure status and other parameters. Through the laboratory platform， it is found that the measurement error of this method is less than 300 μm， and the data update rate is less than 66 ms， which meets the requirements of bridge structural health monitoring. This method solves the problem of low efficiency of artificial bridge deflection monitoring， realizes all-weather online real-time monitoring of bridge deflection detection， and ensures the accuracy and efficiency of the measurement system.

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Efficacy of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae), a traditional Chinese herb pair, on abnormal uterine bleeding in rats with incomplete abortion

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Journal of Traditional Chinese Medicine 2022年第5期42卷 758-763页

作者： ZHANG Tiantian LI Guowen CHU Zhifeng LI Jie YU Lijun GAO Yuan wang huifeng Department of Pharmacy Shanghai Songjiang Fangta Hospital of TCMShanghai 201600China Department of Pharmacy Shanghai TCM-Integrated HospitalShanghai 200080China Department of Traditional Chinese Medicine Shanghai Songjiang Fangta Hospital of TCMShanghai 201600China

OBJECTIVE: To investigate the most effective weight ratio of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae) used to produce decoction for the treatment of abnormal uterine bleeding(AUB) in rats with incomplete abortion, and to study the possible mechanism. METHODS: The models of AUB were established by incomplete drug abortion with mifepristone and misoprostol in pregnant rats. The therapeutic effects of decoctions made by eight different weight ratios of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae) were observed. RESULTS: Statistical analysis revealed that the most effective weight ratio of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae) to treat AUB in this study was 2∶1. CONCLUSION: The insights gained from this study would improve understanding of the mechanisms involved in the effect of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae) on AUB.

关键词： uterine hemorrhage Qiancao(Radix Rubiae Cordifoliae) Haipiaoxiao(Endoconcha Sepiellae) herb pair weight ratio

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Complex Traffic Scene Image Classification Based on Sparse Optimization Boundary Semantics Deep Learning

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Wuhan University Journal of Natural Sciences 2023年第2期28卷 150-162页

作者： ZHOU Xiwei wang huifeng LI Saisai PENG Haonan WU Jianfeng School of Electronic&Control Engineering Chang'an UniversityXi'an 710064ShaanxiChina

With the rapid development of intelligent traffic information monitoring technology,accurate identification of vehicles,pedestrians and other objects on the road has become particularly important.Therefore,in order to improve the recognition and classification accuracy of image objects in complex traffic scenes,this paper proposes a segmentation method of semantic redefine segmentation using image boundary region.First,we use the Seg Net semantic segmentation model to obtain the rough classification features of the vehicle road object,then use the simple linear iterative clustering(SLIC)algorithm to obtain the over segmented area of the image,which can determine the classification of each pixel in each super pixel area,and then optimize the target segmentation of the boundary and small areas in the vehicle road image.Finally,the edge recovery ability of condition random field(CRF)is used to refine the image boundary.The experimental results show that compared with FCN-8s and Seg Net,the pixel accuracy of the proposed algorithm in this paper improves by 2.33%and 0.57%,respectively.And compared with Unet,the algorithm in this paper performs better when dealing with multi-target segmentation.

关键词： traffic scene SegNet image classification simple linear iterative clustering(SLIC) conditional random field boundary number

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智能行车记录仪图像去雾系统的FPGA设计

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上海交通大学学报 2024年第4期58卷 565-578页

作者：黄鹤胡凯益杨澜王浩高涛王会峰长安大学智慧高速公路信息融合与控制西安市重点实验室西安710064 长安大学电子与控制工程学院西安710064 长安大学信息工程学院西安710064

雾霾天气下,交通道路能见度低,导致所采集到的视频画面退化、图像信息模糊,同时考虑传统系统处理实时性不高等问题,基于ZYNQ平台设计了一种图像去雾系统,并应用于智能行车记录仪系统中.首先,针对传统暗通道去雾算法在天空区域存在失真... 详细信息

雾霾天气下,交通道路能见度低,导致所采集到的视频画面退化、图像信息模糊,同时考虑传统系统处理实时性不高等问题,基于ZYNQ平台设计了一种图像去雾系统,并应用于智能行车记录仪系统中.首先,针对传统暗通道去雾算法在天空区域存在失真等问题,提出了一种分割天空区域的策略来修正图像复原参数;然后,针对计算全局大气光值时,需对整幅图像的像素排序消耗大量资源的问题,利用现场可编程门阵列(FPGA)并行运算的优势,提出一种帧迭代方法优化求取大气光值,同时优化了引导滤波的硬件设计;最后,将双路高清多媒体接口(HDMI)资源中,一路作为视频输入,另一路作为视频处理输出,搭建实时交通图像视频处理试验平台.试验结果表明,系统针对雾霾天气下的交通视频具有较好的去雾效果,尤其是可以解决天空区域去雾的失真问题.在对分辨率为1280像素×720像素的交通视频去雾时,可以达到30帧/s的处理速度,满足实时性要求.

关键词：交通视频图像去雾 ZYNQ平台实时处理

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Efficacy of Qiancao(Radix Rubiae Cordifoliae) and Haipiaoxiao(Endoconcha Sepiellae)， a traditional Chinese herb pair， on abnormal uterine bleeding in rats with incomplete abortion

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Journal of Traditional Chinese Medicine 2022年

作者： ZHANG Tiantian LI Guowen HU Zhifeng LI Jie YU Lijun GAO Yuan wang huifeng partment of Pharmacy， Shanghai Songjiang Fangta Hospital of TCM partment of Traditional Chinese Medicine， Shanghai Songjiang Fangta Hospital of TCM partment of Pharmacy， Shanghai TCM-Integrated Hospital

OBJECTIVE: To investigate the most effective weight ratio of Qiancao (Radix Rubiae Cordifoliae) and Haipiaoxiao (Endoconcha Sepiellae) used to produce decoction for the treatment of abnormal uterine bleeding (AUB) in rats with incomplete abortion， and to study the possible mechanism. METHODS: The models of AUB were established by incomplete drug abortion with mifepristone and misoprostol in pregnant rats. The therapeutic effects of decoctions made by eight different weight ratios of Qiancao (Radix Rubiae Cordifoliae) and Haipiaoxiao (Endoconcha Sepiellae) were observed. RESULTS: Statistical analysis revealed that the most effective weight ratio of Qiancao (Radix Rubiae Cordifoliae) and Haipiaoxiao (Endoconcha Sepiellae) to treat AUB in this study was 2∶1. CONCLUSION: The insights gained from this study would improve understanding of the mechanisms involved in the effect of Qiancao (Radix Rubiae Cordifoliae) and Haipiaoxiao (Endoconcha Sepiellae) on AUB.

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Heavy Metal Contamination of Agricultural Soils in Taiyuan, China

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Pedosphere 2015年第6期25卷 901-909页

作者： LIU Yong wang huifeng LI Xiaoting LI Jinchang Institute of Loess Plateau Shanxi University

To evaluate the current state of the environmental quality of agricultural soils in Taiyuan City, a hotspot for China's industrial development, the concentrations of 8 heavy metals in soils were investigated by means of extensive sampling in farmlands, forestlands,and grasslands in the city. Statistical analyses and spatial distribution maps were used to identify the most significant heavy metal pollutants. The mean concentrations of As, Cd, Cu, Hg, Pb, Zn, Ni, and Cr were slightly higher than their background values in Taiyuan's topsoil, but were lower than the maximum permissible concentrations in the Chinese Environmental Quality Standard for agricultural soils. Farmland soils in Taiyuan had the highest average Cd, Cu, Hg, Pb, Zn, and Cr concentrations, but the As and Ni concentrations did not differ significantly among the farmland, forestland, and grasslands. Soil contamination by Cd, Cu, Hg, Pb,Zn, and Cr was mainly derived from farming practices, especially the use of sewage water for irrigation. In contrast, As and Ni might derive mainly from the soil parent material. The identification of heavy metal sources in agricultural soils may provide a basis for taking appropriate action to protect soil quality.

关键词：土壤重金属污染农业土壤太原市土壤环境质量标准平均浓度重金属污染物农田土壤空间分布图

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飞蛾扑火优化的尺度比例感知空间长期跟踪器

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哈尔滨工业大学学报 2024年第5期56卷 130-141页

作者：黄鹤熊武杨澜吴琨王会峰高涛长安大学电子与控制工程学院西安710064 西安市智慧高速公路信息融合与控制重点实验室(长安大学) 西安710064 长安大学信息工程学院西安710064

针对无人机长期跟踪过程中尺度变换导致目标丢失和跟踪精度低的问题,提出了一种基于飞蛾扑火优化(moth-flame optimization,MFO)的尺度比例感知空间长期跟踪器。首先,设计了高斯初始化以代替飞蛾扑火优化算法的随机初始化策略,降低优化... 详细信息

针对无人机长期跟踪过程中尺度变换导致目标丢失和跟踪精度低的问题,提出了一种基于飞蛾扑火优化(moth-flame optimization,MFO)的尺度比例感知空间长期跟踪器。首先,设计了高斯初始化以代替飞蛾扑火优化算法的随机初始化策略,降低优化算法在跟踪过程中的计算复杂度,减少算力浪费;其次,结合快速梯度直方图特征,构建了改进的飞蛾扑火优化跟踪器;然后,为了解决无人机航拍长期跟踪中目标尺度变化的问题,设计了一种自适应尺度变换的判别尺度空间跟踪(discriminative scale space tracking,DSST)算法,进一步提出了一种尺度比例感知空间跟踪器,解决了尺度滤波器中因长宽比固定而导致的跟踪漂移;同时,分析了滤波器响应峰值在各背景下的变化情况,提出了一种能反映环境变化下跟踪置信度的指标,并通过置信度将MFO优化跟踪框架与尺度比例感知空间跟踪器相结合,解决了尺度变化与长期跟踪目标丢失的问题;最后,在无人机长期跟踪数据集上开展了性能验证。结果表明:提出的算法可有效防止漂移现象的发生,提升跟踪效率;与目前跟踪领域中12种同类文献算法进行对比可知,提出的算法精度较高,满足实时性,能够有效解决无人机长期跟踪下的尺度变化及目标丢失等问题。

关键词：无人机飞蛾扑火优化 DSST跟踪算法相关滤波长期跟踪

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A Novel Risk Informatization Assessment System for In-Service Highway Slope Based on Network

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Wuhan University Journal of Natural Sciences 2020年第3期25卷 267-276页

作者： CHAI Caiping GUAN Limin wang Yunfei CUI Wenfen wang huifeng School of Highway&Railway Engineering Shaanxi College of Communication TechnologyXi'an 710018ShaanxiChina School of Electronic&Control Engineering Chang'an UniversityXi'an 710064ShaanxiChina

Aiming at the information evaluation of traffic infrastructure in-service roadside slope risk assessment,the method of risk assessment for highway slope engineering is proposed by using the combination of quantitative and qualitative methods,and a new risk assessment method is proposed and improved.The system,in order to prevent the risks in slope engineering,serves the scientific decision-making of the maintenance,operation and management of the in-service road slopes.Based on the analysis of the special geological conditions,complex surrounding environment and construction schemes of existing highway slopes in China,this paper establishes an in-service slope evaluation model for in-service roads,and designs the scheme diagram of the in-service road slope evaluation system based on the networked Internet platform.Moreover,a set of in-service roadside slope risk assessment system software,the system component block diagram and the main design interface are given.This system can meet the needs of comprehensive evaluation of multi-factors in service road slopes.

关键词： in-service road slope slope disaster slope dynamic information networked software regional geological conditions

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采用局部-全局区域重检测机制的无人机长期跟踪算法

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西安交通大学学报 2024年第6期58卷 1-13页

作者：黄鹤马浩然刘国权王会峰高涛张科长安大学西安市智慧高速公路信息融合与控制重点实验室西安710064 长安大学电子与控制工程学院西安710064 长安大学数据科学与人工智能研究院西安710064

为解决基础跟踪器面对遮挡和移出视野等长期跟踪场景时易出现跟踪失败等问题,提出了一种基于局部-全局区域重检测的无人机长期跟踪算法。设计了基础滤波器,将高置信度样本与其结合,并融入自适应时空正则化,解决了滤波器退化问题,提高了... 详细信息

为解决基础跟踪器面对遮挡和移出视野等长期跟踪场景时易出现跟踪失败等问题,提出了一种基于局部-全局区域重检测的无人机长期跟踪算法。设计了基础滤波器,将高置信度样本与其结合,并融入自适应时空正则化,解决了滤波器退化问题,提高了模型鲁棒性以及复杂场景下的性能;优化了滤波器更新策略,通过评价跟踪结果进行自适应更新;设计快速尺度滤波器,解决了跟踪过程中的尺度变化问题;设计了局部-全局区域重检测机制,跟踪失败时启动重检测器恢复跟踪目标,先完成局部区域重检测,若恢复跟踪失败,再利用全局区域重检测器继续恢复目标跟踪状态。实验结果表明:所提算法在UAV20L数据集上的精确度和准确率分别可达0.724和0.621,与基于时空正则化相关滤波器的跟踪算法(STRCF)相比分别提升了25.9%和20.6%,与同类主流算法相比,跟踪效果得到提升,证明了算法的有效性。

关键词：无人机长期跟踪相关滤波器重检测器快速尺度滤波高置信度

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