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Pavement Pothole Detection System Based on Deep Learning and Binocular Vision

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

作者： Tian Guan Jianyuan Cai Yu Wang Wei Yang Xiaobo Chang Yi Han School of Automobile， Chang'an University china national heavy duty truck group company limited

Due to strong vibrations and the impact on high-speed vehicles， road potholes may cause discomfort to passengers， damaging the durability of the suspension and the integrity of the cargo. Therefore， a road pothole detection system is proposed， which uses deep learning and binocular vision for precise detection in the front. Based on the impact of road surface potholes on human driving behavior decisions of manually driven vehicles， which can cause drivers to slow down or stop， change driving routes， or even increase accident risks， road surface potholes can be divided into three categories: severe potholes (deep and large potholes)， non damaged road surfaces (flat surfaces without obvious potholes or damage)， and completely damaged road surfaces (there may be large areas of potholes， cracks， or other structural damage). 6848 road surface pit condition recognition datasets were constructed using a vehicle mounted binocular camera. group attention shuffling block (CASB) is designed to enhance the expression of channel and spatial feature information in road images， while improving the existing shuffling network (ShuffleNetv2). This establishes a ShuffleNetv2 (CASB ShuffleNetv2) model based on mixed attention for identifying the state of road potholes. The experimental results show that the model has better accuracy than the basic model and can effectively detect road potholes. Due to the varying sizes of potholes on the road surface， small potholes may only require slight avoidance， while large potholes may cause serious vehicle damage. And there are different visual effects on the vertical distance of the pit. To address the aforementioned issues， the LabelImg image annotation tool was used to manually annotate the pothole areas， in order to construct a dataset for detecting 2029 road pothole areas. We replaced the ordinary convolution in the CenterNet feature extraction network with pyramid convolution with multiple receptive fields， and designed a feature fusion mo

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Advances in emission control of diesel vehicles in china

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Journal of Environmental Sciences 2023年第1期123卷 15-29页

作者： Guangyan Xu Wenpo Shan Yunbo Yu Yulong Shan Xiaodong Wu Ye Wu Shaojun Zhang Liqiang He Shijin Shuai Hailong Pang Xuefeng Jiang Heng Zhang Lei Guo Shufen Wang Feng-Shou Xiao Xiangju Meng Feng Wu Dongwei Yao Yan Ding Hang Yin Hong He Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Institute of Urban Environment Chinese Academy of SciencesXiamen 361021China Tsinghua University Beijing 100084China Army Military Transportation University Tianjin 300161China Dongfeng Motor Corporation Wuhan 430101China china national heavy duty truck group company limited Jinan 250000China Zhejiang University Hangzhou 310027China Chinese Research Academy of Environmental Sciences Beijing 100012China

Diesel vehicles have caused serious environmental problems in ***,the Chinese government has launched serious actions against air pollution and imposed more stringent regulations on diesel vehicle emissions in the latest china VI *** fulfill this stringent legislation,two major technical routes,including the exhaust gas recirculation(EGR)and high-efficiency selective catalytic reduction(SCR)routes,have been developed for diesel ***,complicated aftertreatment technologies have also been developed,including use of a diesel oxidation catalyst(DOC)for controlling carbon monoxide(CO)and hydrocarbon(HC)emissions,diesel particulate filter(DPF)for particle mass(PM)emission control,SCR for the control of NOx emission,and an ammonia slip catalyst(ASC)for the control of unreacted *** to the stringent requirements of the china VI standard,the aftertreatment system needs to be more deeply integrated with the engine *** the future,aftertreatment technologies will need further upgrades to fulfill the requirements of the near-zero emission target for diesel vehicles.

关键词： Diesel vehicles Legislation Emission control Aftertreatment system Nitrogen oxides Particulate matter

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The Wear Analysis and Sharpening Method of Involute Spline Broach

The Wear Analysis and Sharpening Method of Involute Spline B...

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2022中国汽车工程学会年会暨展览会

作者： Chang Sheng Zhu Kun Xu Yucheng Men Riming china national heavy duty truck group Datong Gear Co. Ltd.

Involute spline broach is one of the main tools for processing internal splines in our company,which has the characteristics of complex structure and high *** paper focuses on the analysis of the reasons for broach wear,introducing the control method of the wear loss,and giving a detailed discussion of how to sharpen the broach ***,a " Five-Step Operation Method" for cleaning and finishing the blade is proposed,which greatly improves the defects of the broach after sharpening as well as the processing quality of the workpiece,so as to prolongs the service life of the broach.

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Characteristics of heavy metals in soil of lead-zinc mining areas and changes of antioxidant enzyme systems in maize leaf under Pb stress

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International Journal of Coal Science & Technology 2022年第6期9卷 178-185页

作者： Ranran Jiang Ping Liu Yongjian He Yanru Cao Xiuli Hou College of Agronomy and Life Sciences Kunming University650214 KunmingChina Yunnan Phosphate Chemical group limited company KunmingChina

Pb,Cu,Cd,Zn content of soil in mining areas and abandoned land,flats of the Pijiang River and farmlands were *** this basis of soil heavy metal pollution,the changes of antioxidant enzyme system in maize(Qiandan 88)under different Pb concentrations(0,20,40,60,80,100,150,200,500,1000,2000,3000 mg/L)stress were *** results show that the content of Pb,Cu,Cd,and Zn in soil is the highest in mining areas and abandoned land,followed by flats of the Pijiang River>farmlands,and that the variation range of Pb,Cu,Cd in mining areas and abandoned land are 106.40-2564.72,14.83-490.88,22.57-712.77 mg/kg,respectively,which are higher than that of the other land use *** maize is under stress of 20-500 mg/L Pb concentration,T-SOD activity of maize leaves increase with the increase of Pb concentration and the highest value is 50.21 U/mg prot,but under Pb concentration>1000 mg/L stress,T-SOD activity of maize leaves decrease *** activity of POD decreases with the increases of Pb concentra-tion,and the lowest POD activity of leaves in maize with the value of 93.24 U/mg prot is appeared in Pb 1000 mg/L concentration treatment *** content in leaves of maize increases with the increase of the Pb concentration and the highest value is 101.98 nmol/mg prot,then the content of MDA decreases gradually when the Pb concentration is more than 500 mg/L,which indicates that the membrane lipid peroxidation of maize leaves under high concentration of Pb stress is serious and leads to the cell damage.

关键词： heavy metal pollution Pb stress Maize Antioxidant enzyme system

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Hitting point tracking control of tank projectile based on Chebyshev exterior ballistic polynomial:an adaptive robust feedback approach

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Acta Mechanica Sinica 2022年第4期38卷 170-188,I0004页

作者： Yuze Ma Guolai Yang Qinqin Sun Dianrong Wang Xiuye Wang Liqun Wang School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China Inner Mongolia North heavy Industries group limited company.Bciotou 014033 China

In this paper,the tracking control problem of the projectile hitting point of the moving tank is ***,a multi-body dy-namic model with stability systems is ***,the nonlinear coupling dynamic equation of turret-barrel pointing system is ***,the trajectory equation of exterior ballistic(EB)projectile in six degree-of-freedom is established,and the pointing problem was transformed into a problem of hitting point tracking through coordinate ***,an adaptive robust feedback control method is proposed to make the predicted hitting point tracking the expected position ***,Chebyshev surrogate model is used to replace the EB differential equation,which effectively reduces the time required by *** paper combines the EB process with the tracking control problem,which effectively ensures the first-round chance of hit for the tank gun.

关键词： Mechanical system.Tank stability Chebyshev surrogate model.Exterior ballistic Adaptive robust feedback control

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Prediction of blast furnace gas generation based on data quality improvement strategy

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Journal of Iron and Steel Research International 2023年第5期30卷 864-874页

作者： Shu-han Liu Wen-qiang Sun Wei-dong Li Bing-zhen Jin Department of Energy Engineering School of MetallurgyNortheastern UniversityShenyang 110819LiaoningChina State Environmental Protection Key Laboratory of Eco-Industry(Northeastern University) Ministry of Ecology and EnvironmentShenyang 110819LiaoningChina State Key Laboratory of Metal Material for Marine Equipment and Application Anshan 114009LiaoningChina Ansteel Iron and Steel Research Institute Ansteel Group Corporation LimitedAnshan 114009LiaoningChina General heavy Section Mill Angang Steel Company LimitedAnshan 114021LiaoningChina

The real-time energy flow data obtained in industrial production processes are usually of low *** is difficult to accurately predict the short-term energy flow profile by using these field data,which diminishes the effect of industrial big data and artificial intelligence in industrial energy *** real-time data of blast furnace gas(BFG)generation collected in iron and steel sites are also of low *** order to tackle this problem,a three-stage data quality improvement strategy was proposed to predict the BFG *** the first stage,correlation principle was used to test the sample *** the second stage,the original sample set was rectified and *** the third stage,Kalman filter was employed to eliminate the noise of the updated sample *** method was verified by autoregressive integrated moving average model,back propagation neural network model and long short-term memory *** results show that the prediction model based on the proposed three-stage data quality improvement method performs *** short-term memory model has the best prediction performance,with a mean absolute error of 17.85 m3/min,a mean absolute percentage error of 0.21%,and an R squared of 95.17%.

关键词： Blast furnace gas Iron and steel industry Data quality improvement Artificial intelligence Gas generation prediction

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Design and optimization of exhaust gas aftertreatment system for a heavy-duty diesel engine

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Journal of Central South University 2022年第7期29卷 2127-2141页

作者： TAN Pi-qiang YAO Chao-jie WANG De-yuan ZHU Lei HU Zhi-yuan LOU Di-ming School of Automotive Studies Tongji UniversityShanghai 201804China Kailong High Technology company limited Wuxi 214000China

Diesel engines meeting the latest emission regulations must be equipped with exhaust gas aftertreatment system,including diesel oxidation catalysts(DOC),diesel particulate filters(DPF),and selective catalytic reduction(SCR).However,before the final integration of the aftertreatment system(DOC+DPF+SCR)and the diesel engine,a reasonable structural optimization of the catalytic converters and a large number of bench calibration tests must be completed,involving large costs and long development *** design and optimization of the exhaust gas aftertreatment system for a heavy-duty diesel engine was proposed in this ***,one-dimensional(1D)and threedimensional(3D)computational models of the exhaust gas aftertreatment system accounting for the structural parameters of the catalytic converters were *** based on the calibrated models,the effects of the converter’s structural parameters on their main performance indicators,including the conversion of various exhaust pollutants and the temperatures and pressure drops of the converters,were ***,the optimal design scheme was *** temperature distribution of the solid substrates and pressure distributions of the catalytic converters were studied based on the 3D *** method proposed in this paper has guiding significance for the optimization of diesel engine aftertreatment systems.

关键词： diesel engine emission exhaust gas aftertreatment computational model optimal design

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Innovative 3D Microfluidic Intestinal Organoid Model for Assessing Cadmium Bioavailability in Food: Implications for Enhanced Exposure Risk Assessment

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Food Science and Human Wellness 2024年

作者： Yan Li Wen Sun Qiao Wang Wan Shi Yu Chen Zhiyong Gong Xiao Guo Xin Liu Yongning Wu Key Laboratory of Animal Biological Products & Genetic Engineering， Ministry of Agriculture and Rural， Sinopharm Animal Health Corporation Ltd. State Key Laboratory of Novel Vaccines for Emerging Infectious Diseases， china national Biotec group company limited Key Laboratory for Deep Processing of Major Grain and Oil (The Chinese Ministry of Education)， College of Food Science and Engineering， Wuhan Polytechnic University Department of Oncology， Xiangya Hospital， Central South University NHC Key Laboratory of Food Safety Risk Assessment， china national Center for Food Safety Risk Assessment

Given the severe toxicity and widespread presence of cadmium (Cd) in staple foods such as rice， accurate dietary exposure assessments are imperative for public health. In vitro bioavailability is commonly used to adjust dietary exposure levels of risk factors; however， traditional planar Transwell models have limitations， such as cell dedifferentiation and lack of key intestinal components， necessitating a more physiologically relevant in vitro platform. This study introduces an innovative three-dimensional (3D) intestinal organoid model using a microfluidic chip to evaluate Cd bioavailability in food. Caco-2 cells were cultured on the chip to mimic small intestinal villi's 3D structure， mucus production， and absorption functions. The model's physiological relevance was thoroughly characterized， demonstrating the formation of a confluent epithelial monolayer with well-developed tight junctions (ZO-1)， high microvilli density (F-actin)， and significant mucus secretion (Alcian blue staining)， closely resembling the physiological intestinal epithelium. Fluorescent particle tracking confirmed its ability to simulate intestinal transport and diffusion. The Cd bioavailability in rice measured by the 3D intestinal organoid model (9.07% ± 0.21%) was comparable to the mouse model (12.82% ± 3.42%) but significantly lower than the Caco-2 monolayer model (26.97% ± 1.11%). This 3D intestinal organoid model provides a novel and reliable strategy for in vitro assessment of heavy metal bioavailability in food， with important implications for food safety and risk assessment.

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Experimental Analysis of the Influence of Exhaust Thermal Management on Engine NO_(x) Emission

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Fluid Dynamics & Materials Processing 2022年第3期18卷 701-711页

作者： Jinliang Zhu Xiulei Wang Guihua Wang Xianglin Zhong Zhenguo Li Zhiming Wang Ke Sun Shuzhan Bai School of Energy and Power Engineering Shandong UniversityJinan250061China china Automotive Technology&Research Center Co. Ltd.Tianjin300300China national Engineering Laboratory of Mobile Source Emission Control Technology Tianjin300300China

Exhaust thermal management is essential to allow engines to meet the Euro VI emissions standards and reducing nitrogen oxide emissions is one of the most important targets being pursued *** these lines,in the present study,engine’s thermal performances have been evaluated on the basis of a WHTC test,namely a transient engine dynamometer schedule defined by the global technical regulation(GTR)developed by the UN ECE GRPE group(the GTR is covering a world-wide harmonized heavy-duty certification(WHDC)procedure for engine exhaust emissions).The influence of thermal management on fuel consumption,intake,and tailpipe NO_(x) have been quantitatively analyzed for the overrun *** results have shown that there can be a strong influence on the after-treatment temperatures and tailpipe NO_(x).In particular,the average temperature upstream of the diesel oxidation catalyst(DOC)has been found to increase from 245°C to 254°C,the average temperature of the selective catalytic reduction(SCR)to increase from 248°C to 253°C,the SCR’s minimum temperature to increase from 196°C to 204°C,and the peak value of the NO_(x) emissions in the low-temperature region to decrease from 73 to 51 mg/***,the influence of the overrun state’s thermal management strategy on the fuel consumption,the air intake,the ammonia storage,the NO_(2)/NO_(x) ratio,and the urea consumption has been observed to be relatively limited.

关键词： Intake throttling valve NO_(x)emissions overrun diesel

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