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Effect of inclined barrier wall on the flame spreading and wall temperature of hydrogen jet flame

International Journal of Hydrogen Energy 2024年 143卷 319-329页

作者： Li, Quan Wang, Shaoheng Li, Zhenxuan Wang, Changjian Li, Manhou School of Civil Engineering Hefei University of Technology Anhui Hefei230009 China Anhui Mine IOT and Security Monitoring Technology Key Laboratory Hefei230088 China Anhui International Joint Research Center on Hydrogen Safety Hefei230009 China

The collision of a hydrogen jet fire with any obstacles may result in the alterations of flame path and the temperature distribution, increasing the potential risk to surroundings. In this study, a jet fire was released from pressurized storage tank, which horizontally impacts on an inclined wall with adjustable angles. The results indicate that the inclined wall induces an asymmetric flame spreading that the flame extends upstream severely than downstream, and the asymmetry is negatively correlated with the tilt angle. The flame radiates outwards from the center of impingement, yielding a maximum temperature at the center that gradually reduces outward. The maximum temperature is correlated with the inclining angle, nozzle diameter, and initial pressure. This study contributes to the understanding of hydrogen jet flame characteristics on barrier wall and provides insights into the development of safety prevention and control strategies. © 2024 Hydrogen Energy Publications LLC

关键词： Premixed flames

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Response of phytoplankton communities to environmental changes in the Bohai Sea in late summer (2011−2020)

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Acta Oceanologica Sinica 2024年第10期43卷 107-120页

作者： Yibo Wang Zhiliang Liu Yanping Qi Xiao Chen Yang Chen Du Su Xiaobo Yuan James Klippel-Cooper Research Center for Marine Science Hebei Normal University of Science and TechnologyQinhuangdao 066004China Hebei Key Laboratory of Ocean Dynamics Resources and EnvironmentsQinhuangdao 066004China North China Sea Environmental Monitoring Center State Oceanic AdministrationQingdao 266033China College of Science and Engineering Flinders UniversityAdelaide 5042Australia

Understanding the dynamics of phytoplankton communities in coastal zones is crucial for the management and conservation of coastal *** research indicated that the phytoplankton community structure and dominant taxa in the Bohai Sea(BHS)have exhibited significant shifts from the 1990s to the early 2010s in response to environmental changes,especially the change in nutrient *** study comprehensively investigated the variations in net-collected phytoplankton(>76μm)community structure,diversity,and environmental factors in the BHS during the late summers of 2011-2020,aiming to understand the recent trend in phytoplankton community structure and to explore the interactions between the communities and the *** the study period,the nutrient status in the BHS was characterized by a decrease in dissolved inorganic nitrogen(DIN)concentration,an increase in dissolved inorganic phosphorus(DIP)concentration,and a return of the nitrogen-to-phosphorus(N/P)molar ratio(hereinafter referred to as N/P ratio)to the Redfield ratio since *** eutrophication index(EI)in the BHS remained stable and was generally at a low level(<1).The Dia/Dino index fluctuated but did not show an obvious ***,the eutrophication,the imbalance in nutrient ratio,and the shift in phytoplankton community structure did not continue during the study *** increased abundance of phytoplankton was strongly associated with elevated concentrations of DIN,as well as higher N/P and nitrogen-to-silicon(N/Si)ratios,whereas the greater diversity was strongly linked to higher concentrations of *** and dinoflagellates showed significant differences in their interactions with the environment,and their relative dominance was related to water column depth and stratification intensity;their impacts on the phytoplankton community diversity were also significantly *** variations of certain dominant species,i.e.,Skeletonema costatum,Paralia sulcata,and Tr

关键词： Bohai Sea phytoplankton community diversity Dia/Dino index dominant species environmental change

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Design and Implementation of Intelligent Security Robot Based on Lidar and Vision Fusion 3

Design and Implementation of Intelligent Security Robot Base...

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2021 3rd International Conference on Robotics, Intelligent Control and Artificial Intelligence, ICRICA 2021

作者： Zhou, Bo Du, Minglin Chen, Zhenguo Liu, Yajun Zhang, Yan Wang, Yan School of Information Beijing City University Beijing China Hebei IoT Monitoring Eng. Technology Research Center North China Institute of Science and Technology Hebei China

Nowadays, the mainstream security robot is expensive and the single 2D Lidar SLAM robot has large pose error and large matching calculation in navigation. To solve these problems, this paper designs an intelligent security robot based on the ROS system and STM32 microcontroller. Through the fusion of camera, IMU, lidar multi-sensor data, completing its own positioning, surrounding environment mapping and autonomous navigation functions;Binocular camera for face recognition, lock suspicious persons;Combined with temperature and humidity, smoke and other sensors for environmental monitoring, real-time alarm;Security personnel remote control, according to the data uploaded by the robot to complete the patrol. After a lot of experiments, the functions of the robot are better completed, which has a certain practical value. © Published under licence by IOP Publishing Ltd.

关键词： Optical radar

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Carnosic acid ameliorates alcohol-induced liver injury in animal models: Experimental verification and molecular mechanism prediction

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Food Science and Human Wellness 2025年

作者： Xu Wang Yanqiu Xia Xin Li Qi Tang Jing Liu Pin Lü Yan Zhang Hebei Food Safety Key Laboratory， Key Laboratory of Special Food Supervision Technology， State Administration for Market Regulation， Hebei Engineering Research Center for Special Food Safety and Health， Hebei Food Inspection and Research Institute Department of Cell Biology， Cardiovascular Medical Science Center， Key Laboratory of Neural and Vascular Biology of Ministry of Education， Hebei Medical University Center for Food Evaluation， State Administration for Market Regulation Guizhou Provincial Engineering Research Center of Ecological Food Innovation， School of Public Health， Guizhou Medical University， The Key Laboratory of Environmental Pollution Monitoring and Disease Control， Ministry of Education

Alcoholic liver disease (ALD)， a pervasive global health concern， involves multifaceted pathological mechanisms including oxidative stress， lipid dysregulation and inflammatory responses， yet lacks effective multi-target therapies. Carnosic acid (CA)， a natural diterpenoid with extensively characterized antioxidant and anti-inflammatory properties， remains underexplored for its systemic therapeutic potential in ALD. This study aimed to comprehensively investigate CA's hepatoprotective efficacy and molecular mechanisms against ALD. Results demonstrated that CA significantly reduced serum total cholesterol， triglycerides， and transaminase levels in ALD mice， concurrently alleviating alcohol-induced histopathological damage. Network pharmacology identified 36 potential targets， with 10 core targets predominantly enriched in lipid metabolism， PPAR signaling and inflammatory response. Molecular docking revealed superior binding affinities of CA to core targets compared to silibinin， a reference hepatoprotectant. RT-qPCR validation further confirmed CA's regulatory effects on apoptosis-related TP53/BCL2 axis， TNF-mediated inflammatory pathways and CYP450 metabolic genes. Through a tripartite strategy integrating phenotypic validation， mechanistic prediction， and experimental confirmation， this study elucidates CA's multi-target therapeutic actions against ALD via coordinated modulation of lipid homeostasis， oxidative stress and inflammatory pathways， providing the groundwork for future mechanism exploration.

关键词： Carnosic acid Alcoholic liver injury Oxidative stress Inflammation Lipid metabolism

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A Real-Time Active Noise Control System for Low Frequency Substation Noise Suppression

A Real-Time Active Noise Control System for Low Frequency Su...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance engineering, IncoME-V 2023, International conference on the Efficiency and Performance engineering Network, TEPEN 2023

作者： Wang, Haohui Li, Yamin Hao, Ying Gao, Jianzheng Liang, Xiaoxia Feng, Guojin Zhen, Dong School of Mechanical Engineering Hebei University of Technology Tianjin300401 China Tianjin Eco-Environmental Monitoring Center Tianjin300191 China Advanced Equipment Research Institute Co. Ltd. of HEBUT Tianjin300401 China

ISBN: (纸本)9783031494123

Substation noise has become an important factor that influences the life quality of residents, especially in densely populated residential areas. Despite the relatively modest noise levels produced by small and medium-sized transformer facilities, their proximity to residential zones leads to significant annoyance, making them a focus in environmental noise-related complaints. The primary noise generated by these facilities falls within the medium and low-frequency range, where traditional passive noise reduction methods show limited success. This research develops a real-time active noise control (ANC) system based on the TMS320F28335 digital signal processor. The ANC algorithms, including FxLMS and FxNLMS, are implemented for real-time noise suppression. In the experiment, a series of sinusoidal signals and substation noises are employed to assess the system's effectiveness in noise suppression. The results highlight the efficacy of the ANC system, with an average noise reduction of over 12 dB for noises under 600 Hz. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Digital signal processors

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Development of Portable Acoustic Dipole Shear Wave Logging Device Used in Geologic Survey 11

Development of Portable Acoustic Dipole Shear Wave Logging D...

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11th Academic Conference of Geology Resource Management and Sustainable Development 2023

作者： Hao, Shuli Wang, Xin-Jie Hao, Wenjie Meng, Xian-Wei Hebei Center for Ecological and Environmental Geology Research Hebei GEO University Shijiazhuang050031 China Centre for Hydrogeology and Environmental Geology CGS Tianjin300304 China Technology Innovation Center for Geological Environment Monitoring MNR Hebei Baoding071051 China School of Precision Instruments and Optoelectronics Engineering Tianjin University Tianjin300072 China

ISBN: (纸本)9781713890973

According to the geologic survey, develops the dipole shear wave transducer and carry out the contrast test research. Using five kinds geometric size of PZT, Adhesive with different specifications of copper, aluminum, steel framework respectively, developed a variety of models of dipole shear wave son. Using energy storage booster driving PZT produce vibration, 60~90 V rechargeable energy storage capacitor, Pulse signal of control circuit control MOS tube conduction. In the secondary of step-up transformer produce nearly 1000 V voltage pulse excitation PZT producing vibration. Carry out contrast test of different type transducer, and the results is that Cylindrical steel stents and rectangular PZT dipole transducer is best, it can Launch first wave frequency of 1.25 kHz to 1.33 kHz. Design shear wave logging probe with a dipole source and 4 channels receiving, using of sound insulation and sealing technology. Select different depth of soft and hard strata test, analysis the experimental results of dipole transducer. © (2023) by Aussino Academic Publishing House. All rights reserved.

关键词： Shear flow

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Prediction of soil moisture and temperature based on deep learning

Prediction of soil moisture and temperature based on deep le...

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2021 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2021

作者： Liu, Huidan Yang, Yi Wan, Xuefen Cui, Jian Zhang, Fan Cai, Tingting Donghua University College of Information Science and Technology Shanghai China North China Institute of Science and Technology College of Computer Hebei IoT Monitoring Engineering Technology Research Center Langfang China Beijing University of Aeronautics and Astronautics School of Cyber Science and Technology Beijing China

ISBN: (纸本)9781665418676

Accurate prediction of soil moisture and temperature is helpful to regulate agricultural planting parameters and optimize crop planting quality. In this paper, relevant issues are studied from two aspects: environmental data acquisition system based on Internet of Things technology and adaptive deep learning prediction model selection. An NB-iot iot data collection system is proposed for deep learning of long-period and equal-interval time series data collection. Using the obtained environmental temperature and humidity and soil moisture and temperature data, a deep learning model based on long short-term memory network (LSTM) is implemented to train and predict soil moisture and temperature, and the prediction effect of each deep learning method is analyzed under different step length conditions. The experimental results show that the system can effectively obtain and manage the data required for deep learning, and the deep learning-based prediction model can achieve reliable prediction of soil moisture and temperature by only relying on the environmental temperature and humidity time series data. © 2021 IEEE.

关键词： Soil temperature

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research on Artificial Intelligence Detection Method of Lithium Battery Surface Defects for Production Line

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Journal of Computers (Taiwan) 2023年第2期34卷 203-214页

作者： Wang, Jian Fan, Dong-Liang Du, Jin-Ping Geng, Lei Hou, Ya-Jin Department of Electrical Engineering Hebei Institute of Mechanical and Electrical Technology Hebei Province Xingtai054000 China Intelligent monitoring and industrial network technology research and development center Hebei Institute of Mechanical and Electrical Technology Hebei Province Xingtai054000 China Hebei Institute of Mechanical and Electrical Technology Hebei Province Xingtai054000 China

Lithium batteries are widely used in new energy vehicles and electronic equipment. Aiming at the typical defects that are easy to occur in the production process of lithium batteries, this paper improves the performance and recognition accuracy of the algorithm by integrating void convolution and attention mechanism into the YOLOv5 basic framework. At the same time, whale algorithm is used to automatically optimize the algorithm parameters in the process of optimization. Finally, through simulation experiments. This method realizes the rapid and accurate identification of lithium battery defects in the rapid production process of automatic production line. © 2023 Computer Society of the Republic of China. All rights reserved.

关键词： Lithium batteries

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IR Net: information restriction and information recovery for accurate binary neural networks

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Neural Computing and Applications 2023年第19期35卷 14449-14464页

作者： Xue, Ping Lu, Yang Chang, Jingfei Wei, Xing Wei, Zhen School of Computer Science and Information Engineering Hefei University of Technology Hefei China Anhui Mine IOT and Security Monitoring Technology Key Laboratory Hefei China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei University of Technology Hefei China Intelligent Manufacturing Institute of Hefei University of Technology Hefei China

Weight and activation binarization can efficiently compress deep neural networks and accelerate model inference, but they cause severe accuracy degradation. Existing optimization methods for binary neural networks (BNNs) focus on fitting full-precision networks to reduce quantization errors and suffer from a tradeoff between accuracy and efficiency. In contrast, considering information loss and the mismatch between model capacity and input information quantity caused by network binarization, we propose Information Restriction and Information Recovery Network (IR $$^2$$ Net) to stimulate the potential of BNNs and achieve improved network accuracy by restricting the input information and recovering feature information. The proposed approach includes (1) information restriction, which evaluates the feature information extracted from the input by a BNN, discards some of the information it cannot focus on, and reduces the amount of the input information to match the model capacity; and (2) information recovery: due to the information loss incurred during forward propagation, the extracted feature information of the network is not sufficient for supporting accurate classification. Shallow feature maps with richer information are selected, and these feature maps are fused with the final feature maps to recover the extracted feature information and further enhance the model capacity to match the amount of input information. In addition, the computational cost is reduced by streamlining the information recovery method to strike a better tradeoff between accuracy and efficiency. Experimental results demonstrate that our approach still achieves comparable accuracy even with a $$\sim$$ 10x floating-point operations (FLOPs) reduction for ResNet-18. The models and code are available at https://***/pingxue-hfut/IR2Net .

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Evolution of Urban Expansion Pattern and Its Impact on the Quality of the Ecological Environment in the Beijing-Tianjin-hebei Urban Agglomeration

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Huanjing Kexue/Environmental Science 2025年第6期46卷 3708-3719页

作者： Chen, Fu-Guo Guo, Ai-Qing Wu, Ai-Bin Wang, Yu-Tong Fan, Jie Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring School of Land Science and Spaee Planning Hehei GEO University Shijiazhuang050031 China Hehei Engineering Research Center for Geographic Information Application Institute of Geographical Sciences Hehei Academy of Sciences Shijiazhuang050011 China College of Land Science and Technology China Agricultural University Beijing100083 China Hehei Academy of Natural Resources Utilization and Planning Shijiazhuang050051 China

Clarifying the impacts of urban land expansion on changes in the quality of the ecological environment in the Beijing-Tianjin-hebei (BTH) urban agglomeration is of great significance for the high-quality development of the BTH urban agglomeration and the construction of ecological civilization. The urban expansion rate, urban expansion intensity, and landscape pattern index were introduced to analyze the urban expansion pattern of the BTH urban agglomeration from 2000 to 2020, the integrated remote sensing eco-environment index (IRSEI) was constructed based on the Google Earth Engine (GEE) platform to evaluate the regional eco-environmental change status, and the impact of the evolution of urban expansion pattern on the change of eco-environmental quality was investigated using a geographically and temporally weighted regression model (GTWR). The study produced several interesting results: CD The overall expansion rate of urban land in the BTH urban agglomeration from 2000 to 2020 was 217.22 km 'a~, and the expansion rate from 2000 to 2010 was faster than the rate from 2010 to 2020. Among regions, the urban expansion rate was slower in the northwestern mountains and higher in the southeastern plains. The overall expansion intensity of the BTH urban agglomeration during the study period was 6.14%. Areas with high-speed expansion, rapid expansion, and medium-speed expansion were mainly concentrated in the southeastern plains, and areas with low-speed expansion and slow expansion were mainly located in the northwestern part of the study area. During the study period, the number of urban agglomerations in BTH, the density of patches, and the landscape shape index showed increasing trends, the maximum patch index showed a decreasing trend, and the fragmentation of urban land was increasing. (2) During the period from 2000 to 2020, the IRSEI of the BTH urban agglomeration as a whole showed an upward trend. In 2020, the IRSEI had increased by 6.13% compared with the early

关键词： Logistic regression

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