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Design of the real-time detection system based on LabVIEW for no-till seeder working performance

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International Journal of Agricultural and Biological Engineering 2021年第5期14卷 100-106页

作者： Huibin Zhu Cheng Qian Zihao Guo Lizhen Bai Faculty of Agriculture and Food Kunming University of Science and Technology.Kunming 650500China

In order to ensure the working performance of the seeder,reduce the labor intensity of manual testing,and improve the efficiency and accuracy of the detection,a real-time detection system for detecting the performance of no-till seeders was designed based on the LabVIEW software platform of virtual instrument technology and the MCC USB-231 data acquisition *** detection system can be used to detect the seeding quality index and residue cover *** detection of the seeding quality index included the middle detection between the metering device and the opener,the end detection between the opener and the *** result of the field test showed that the detection accuracies of seed quantity,multiple index,and miss index were 94.51%,92.83%,and 91.81%,*** fault position can be accurately determined,and the measurement accuracy of residue cover index was 94.54%.The working performance of the no-tillage seeder can be monitored by the detection system to avoid the occurrence of reseeding and miss-seeding and improve production efficiency.

关键词： LabVIEW no-tillage seeder seeding quality real-time detection residue cover index

real-time detection of Airborne Influenza A Viruses Using Silicon Nanowire Field Effect Transistor

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Real-time Detection of Airborne Influenza A Viruses Using Si...

DLF-YOLOF:an improved YOLOF-based surface defect detection for steel plate

第七届亚洲气溶胶会议

作者： Fangxia Shen1 Miaomiao Tan1 Zhenxing Wang2 Maosheng Yao1 * Zhenqiang Xu1 Yan Wu1 Jindong Wang2 Xuefeng Guo2 * and Tong Zhu1 1 State Key Joint Laboratory for Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100871 China 2 College of Chemistry and Molecular Engineering Peking University Beijing 100871 China

Numerous threats from biological aerosol exposures, such as H1N1 influenza, SARS, bird flu, and bio-terrorism necessitate the development of a real-time bioaerosol sensing system, which however is a long standing challenge in the field. Here, we reported real-time detection of airborne influenza H3N2 viruses by integrating electrically addressable silicon nanowire （SiNW） sensor devices with microfluidics and a bioaerosol-to-hydrosol air sampling system. Influenza A viruses were aerosolized into exposure chamber, and collected by an automated electrostatic sampler （AES） at a sampling flow rate of 5 L/min and transported onto the SiNW sensor device via microfludic channel via a peristaltic pump at a flow rate of 0.4 L/min in a real-time manner. The electrical conductance of the SiNW device was monitored using a pre-amplifier and a lock-in amplifier. Results show that when airborne influenza H3N2 virus samples were collected and delivered to antibody-modified SiNW devices, discrete nanowire conductance changes were observed within seconds. However, the conductance levels remained relatively unchanged when indoor air or clean air samples were delivered. Quantitative polymerase chain reaction （qPCR） tests indicated that higher virus concentrations in the air samples corresponded to higher conductance levels in the SiNW devices. The sensing system here has been demonstrated to have the capability to monitor the airborne presence of influenza A viruses in a real-time manner, typically from 1 to 2 minutes. This response time scale exceeds many of those available bioaerosol sensing systems. The work here opens a new arena for real-time monitoring of biological aerosols by integrating the technologies in different disciplines, holding great promise in the combat of fighting both infectious diseases and bio-terrorism.

关键词： Influenza A H3N2 virus bioaerosol Silicon Nanowire aerosol-to-hydrosol qPCR real-time detection

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Journal of Iron and Steel Research(International) 2024年第2期31卷 442-451页

作者： Guang-hu Liu Mao-xiang Chu Rong-fen Gong Ze-hao Zheng School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051LiaoningChina

Surface defects can affect the quality of steel *** methods based on computer vision are currently applied to surface defect detection of steel ***,their real-time performance and object detection of small defect are still *** improved object detection network based on You Only Look One-level Feature(YOLOF)is proposed to show excellent performance in surface defect detection of steel plate,called ***,the anchor-free detector is used to reduce the network ***,deformable convolution network and local spatial attention module are introduced into the feature extraction network to increase the contextual information in the feature ***,the soft non-maximum suppression is used to improve detection accuracy ***,data augmentation is performed for small defect objects during training to improve detection *** show the average precision and average precision for small objects are 42.7%and 33.5%at a detection speed of 62 frames per second on a single GPU,*** shows that DLF-YOLOF has excellent performance to meet the needs of industrial real-time detection.

关键词： Steel surface defects detection YOLOF Anchor-free detector Small object detection real-time detection

A novel weld-pool-length monitoring method based on pixel analysis in plasma arc additive manufacturing

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Advances in Manufacturing 2024年第2期12卷 335-348页

作者： Bao-Ri Zhang Yong-Hua Shi Bionic Robot Research Department Ji Hua LaboratoryFoshan528200GuangdongPeople’s Republic of China Guangdong Provincial Engineering Research Center for Special Welding Technology and Equipment School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou510640People’s Republic of China

The real-time monitoring of the weld pool during deposition is important for automatic control in plasma arc additive *** obtain a high deposition accuracy,it is essential to maintain a stable weld pool *** this study,a novel passive visual method is proposed to measure the weld pool *** the proposed method,the image quality was improved by designing a special visual system that employed an endoscope and a *** also includes pixel brightness-based and gradient-based algorithms that can adaptively detect feature points at the boundary when the weld pool geometry *** algorithm can also be applied to materials with different solidification *** was performed to measure the real weld pool length in world coordinates,and outlier rejection was performed to increase the accuracy of the ***,tests were carried out on the intersection component,and the results showed that the proposed method performed well in tracking the changing weld pool length and was applicable to the real-time monitoring of different types of materials.

关键词： Plasma arc additive manufacturing(PAAM) Weld pool geometry Gradient analysis real-time detection

real-time identification of multiple nanoclusters with a protein nanopore in single-cluster level

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Nano Research 2024年第1期17卷 262-269页

作者： Ling Zhang Peilei He Huang Chen Qingda Liu Libo Li Xun Wang Jinghong Li Department of Chemistry Center for BioAnalytical ChemistryKey Laboratory of Bioorganic Phosphorus Chemistry&Chemical BiologyTsinghua UniversityBeijing 100084China School of Chemistry and Chemical Engineering Guangdong Prov Key Lab Green Chem Prod TechnolSouth China University of TechnologyGuangzhou 510640China New Cornerstone Science Laboratory Shenzhen 518054China Beijing Institute of Life Science and Technology Beijing 102206China Center for BioAnalytical Chemistry Hefei National Laboratory of Physical Science at MicroscaleUniversity of Science and Technology of ChinaHefei 230026China

It is important and challenging to analyze nanocluster structure with atomic ***,α-hemolysin nanopore was used to identify nanoclusters at the single molecule level by providing two-dimensional(2D)dwell time–current blockage spectra and translocation event frequency which sensitively depended on their *** such as Anderson,Keggin,Dawson,and a few lacunary Dawson polyoxometalates with very similar structures,even with only a two-atom difference,could be *** nanopore device could simultaneously measure multiple nanoclusters in a mixture qualitatively and ***,molecular dynamics(MD)simulations provided microscopic understandings of the nanocluster translocation dynamics and yielded 2D dwell time–current blockage spectra in close agreement with *** nanopore platform provides a novel powerful tool for nanocluster characterization.

关键词： nanopore single-molecule nanocluster polyoxometalates real-time detection

Portable FBAR based E-nose for cold chain real-time bananas shelf time detection

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Nanotechnology and Precision Engineering 2023年第1期6卷 32-39页

作者： Chen Wu Jiuyan Li Frontier Science Center for Smart Materials College of Chemical EngineeringDalian University of TechnologyDalian 116024China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai Economic and Technological Development Zone300 Changjiang RoadYantaiChina

Being cheap,nondestructive,and easy to use,gas sensors play important roles in the food ***,most gas sensors are suitable more for laboratory-quality fast testing rather than for cold-chain continuous and cumulative ***,an ideal electronic nose(E-nose)in a cold chain should be stable to its surroundings and remain highly accurate and *** this work,a portable film bulk acoustic resonator(FBAR)-based E-nose was built for real-time measurement of banana shelf *** sensor chamber to contain the portable circuit of the E-nose is as small as a smartphone,and by introducing an air-tight FBAR as a reference,the E-nose can avoid most of the drift caused by *** the help of porous layer by layer(LBL)coating of the FBAR,the sensitivity of the E-nose is 5 ppm to ethylene and 0.5 ppm to isoamyl acetate and isoamyl butyrate,while the detection range is large enough to cover a relative humidity of *** this regard,the E-nose can easily discriminate between yellow bananas with green necks and entirely yellow bananas while allowing the bananas to maintain their biological activities in their normal storage state,thereby showing the possibility of real-time shelf time *** portable FBAR-based E-nose has a large testing scale,high sensitivity,good humidity tolerance,and low frequency drift to its surroundings,thereby meeting the needs of cold-chain usage.

关键词： Film bulk acoustic resonator(FBAR) Portable E-nose real-time detection Layer by layer

Flexible wearable sensors:An emerging platform for monitoring of bacterial infection in skin wounds

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Engineered Regeneration 2024年第2期5卷 186-198页

作者： Hao Meng Weicheng Zhong Kui Ma Jianlong Su Liqian Ma Yaying Hao Yufeng Jiang Xi Liu Xiaobing Fu Cuiping Zhang Research Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Department PLA General Hospital and PLA Medical CollegeBeijing 100048PR China PLA Key Laboratory of Tissue Repair and Regenerative Medicine Beijing 100048PR China Beijing Key Research Laboratory of Skin Injury Repair and RegenerationBeijing 100048PR China Research Unit of Trauma Care Tissue Repair and RegenerationChinese Academy of Medical Sciences2019RU051Beijing 100048PR China College of Graduate Tianjin Medical UniversityTianjin300070PR China Department of Tissue Regeneration and Wound Repair PLA General HospitalBeijingPR China

Persistent inflammatory responses often occur when bacteria and other microorganisms frequently invade and colonize open wounds and eventually result in the formation of chronic ***,achieving real-time detection of invasive bacteria accurately and promptly is essential for efficient wound management and accelerat-ing the healing ***,flexible wearable sensors have garnered significant attention,especially those designed for monitoring real-time biophysical or biochemical signals in wound sites in a minimally invasive *** provide more precise and continuous monitoring data,making them as emerging tools for clinical *** this review,we first discuss the species and community distribution of different types of bacteria in chronic ***,we introduce currently developed techniques for detecting bacteria at wound ***-lowing that,we discuss the recent progress and unresolved issues of various flexible wearable sensors in detecting bacteria at wound *** believe that this review can provide meaningful guidance for the development of flexible wearable sensors for bacteria detection.

关键词： Flexible wearable sensors Chronic wounds Bacterial infections real-time detection

An Intelligent detection Method for Optical Remote Sensing Images Based on Improved YOLOv7

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Computers, Materials & Continua 2023年第12期77卷 3015-3036页

作者： Chao Dong Xiangkui Jiang School of Automation Xi’an University of Posts and TelecommunicationsXi’an710121China

To address the issue of imbalanced detection performance and detection speed in current mainstream object detection algorithms for optical remote sensing images,this paper proposes a multi-scale object detection model for remote sensing images on complex backgrounds,called DI-YOLO,based on You Only Look Once v7-tiny(YOLOv7-tiny).Firstly,to enhance the model’s ability to capture irregular-shaped objects and deformation features,as well as to extract high-level semantic information,deformable convolutions are used to replace standard convolutions in the original ***,a Content Coordination Attention Feature Pyramid Network(CCA-FPN)structure is designed to replace the Neck part of the original model,which can further perceive relationships between different pixels,reduce feature loss in remote sensing images,and improve the overall model’s ability to detect multi-scale ***,an Implicitly Efficient Decoupled Head(IEDH)is proposed to increase the model’s flexibility,making it more adaptable to complex detection tasks in various ***,the Smoothed Intersection over Union(SIoU)loss function replaces the Complete Intersection over Union(CIoU)loss function in the original model,resulting in more accurate prediction of bounding boxes and continuous model *** results on the High-Resolution Remote Sensing detection(HRRSD)dataset demonstrate that the proposed DI-YOLO model outperforms mainstream target detection algorithms in terms of mean Average Precision(mAP)for optical remote sensing image ***,it achieves Frames Per Second(FPS)of 138.9,meeting fast and accurate detection requirements.

关键词： Object detection optical remote sensing images YOLOv7-tiny real-time detection

Dynamic detection method for falling ears of maize harvester based on improved YOLO-V4

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International Journal of Agricultural and Biological Engineering 2022年第3期15卷 22-32页

作者： Ang Gao Aijun Geng Zhilong Zhang Ji Zhang Xiaolong Hu Ke Li College of Mechanical and Electrical Engineering Shandong Agricultural UniversityTai’an 271018ShandongChina Shandong Provincial Engineering Laboratory of Agricultural Equipment Intelligence Tai’an 271018ShandongChina Shandong Provincial Key Laboratory of Horticultural Machineries and Equipment Tai’an 271018ShandongChina

Traditional maize ear harvesters mainly rely on manual identification of fallen maize ears,which cannot realize real-time detection of ear *** improved You Only Look Once-V4(YOLO-V4)algorithm is combined with the channel pruning algorithm to detect the dropped ears of maize harvesters.K-means clustering algorithm is used to obtain a prior box matching the size of the dropped ears,which improves the Intersection Over Union(IOU).Compare the effect of different activation functions on the accuracy of the YOLO-V4 model,and use the Mish activation function as the activation function of this *** the calculation of the regression positioning loss function,and use the CEIOU loss function to balance the accuracy of each *** improved Adam optimization function and multi-stage learning optimization technology to improve the accuracy of the YOLO-V4 *** channel pruning algorithm is used to compress the model and distillation technology is used in the fine-tuning of the *** final model size was only 10.77%before compression,and the test set mean Average Precision(mAP)was 93.14%.The detection speed was 112 fps,which can meet the need for real-time detection of maize harvester ears in the *** study can provide technical reference for the detection of the ear loss rate of intelligent maize harvesters.

关键词： maize ear detection YOLO-V4 channel pruning algorithm real-time detection