BACKGROUND:Rapid on-site triage is critical after mass-casualty incidents(MCIs)and other mass injury events.Unmanned aerial vehicles(UAVs)have been used in MCIs to search and rescue wounded individuals,but they mainly...BACKGROUND:Rapid on-site triage is critical after mass-casualty incidents(MCIs)and other mass injury events.Unmanned aerial vehicles(UAVs)have been used in MCIs to search and rescue wounded individuals,but they mainly depend on the UAV operator’s experience.We used UAVs and artificial intelligence(AI)to provide a new technique for the triage of MCIs and more efficient solutions for emergency rescue.METHODS:This was a preliminary experimental study.We developed an intelligent triage system based on two AI algorithms,namely OpenPose and YOLO.Volunteers were recruited to simulate the MCI scene and triage,combined with UAV and Fifth Generation(5G)Mobile Communication Technology real-time transmission technique,to achieve triage in the simulated MCI scene.RESULTS:Seven postures were designed and recognized to achieve brief but meaningful triage in MCIs.Eight volunteers participated in the MCI simulation scenario.The results of simulation scenarios showed that the proposed method was feasible in tasks of triage for MCIs.CONCLUSION:The proposed technique may provide an alternative technique for the triage of MCIs and is an innovative method in emergency rescue.展开更多
This research was aimed at the defects in traditional artificial spraying control method and the problems such as the difficulty in pesticides applying,labor shortage and low operating efficiency in the middle and lat...This research was aimed at the defects in traditional artificial spraying control method and the problems such as the difficulty in pesticides applying,labor shortage and low operating efficiency in the middle and late stage of sugarcane high stalk crops.The aerial pesticide application technology for sugarcane main diseases and pests was systematically developed and demonstrated from the aspects of aircraft type choice,selection of special pesticides and auxiliaries,integration of pesticides and equipment,field operation,technical specifications,and large-scale application organization mode.The UAV model and flight technical parameters suitable for the sugarcane planting area in low-latitude plateau were analyzed,and the optimal agent formulation combination and application technology of the UAV flight control were screened out,and the UAV flight control was applied to the major sugarcane pests and diseases control in the low-latitude plateau in large scale(UAV flight control was popularized and applied to 15 527 hm 2 in 2018).The research results provided mature whole-process technical support for the normalization of the application of the UVA flight control of major sugarcane pests and diseases.The UAV control technology for major sugarcane pests and diseases had the advantages of ultra-low pesticides applying dosage and high operating efficiency,and could effectively solve the problems such as the difficulty in pesticides applying,labor shortage and low operating efficiency in the middle late growth stage of high stalk crops.This technology successfully opened up a simple,efficient and new way for the effective control of major sugarcane pests and diseases,and practically accelerated the process of integrated control and prevention of sugarcane pests and diseases.In addition,this technology had an extremely significant effect on reducing the loss of sugarcane farmers and enterprises caused by the epidemic and outbreak of sugarcane pests and diseases,increasing sugarcane yield and sugar content.At the same time,this technology played an important role in realizing the whole-process precise control of sugarcane pests and diseases,improving the quality and increasing the efficiency of sugarcane,and guaranteeing the national sugar safety.展开更多
Taking the opportunity of the third monitoring of rocky desertification in the karst area of China,Zigui County of Hubei Province applied Unmanned Aerial Vehicle( UAV) for the first time for monitoring. Through repeat...Taking the opportunity of the third monitoring of rocky desertification in the karst area of China,Zigui County of Hubei Province applied Unmanned Aerial Vehicle( UAV) for the first time for monitoring. Through repeated trials and studies,it established technical requirements including the UAV monitoring technology for the rocky desertification,the feature point photographing,UAV video judgment of rocky desertification degree,UAV video correction misclassification subcompartment,and UAV video observation of rocky desertification control. It completed the third rocky desertification monitoring task of karst area in Zigui County.展开更多
Unmanned aerial vehicle technology was used to survey the vegetation coverage of typical urban-rural fringe, and descriptive statistics and geostatistical methods were used to analyze the urban-rural fringe of spatial...Unmanned aerial vehicle technology was used to survey the vegetation coverage of typical urban-rural fringe, and descriptive statistics and geostatistical methods were used to analyze the urban-rural fringe of spatial heterogeneity of vegetation coverage. The results showed that vegetation coverage in the study area was 27.2176% with the coefficient of variation of 31.7786%; that the vegetation coverage in separation distance of 〈0.18' showed positive spatial correlation, and the spatial correlation of vegetation coverage in separation distance of 〈0.18' was greater than that in 〉0.18'; that the best fitting model for Semivariance function was exponential model with spatial variation ratio 0.726, which showed strong spatial correlation, and the spatial correlated scale was 0.18'; that the vegetation coverage data in the study area was relatively stable, and the instability mainly occurred on the border of the study area and the surroundings.展开更多
In order to solve the problems of insufficient training equipment,relatively lack of curriculum resources and single teaching means in the teaching of UAV(unmanned aerial vehicle)applied technology major,this paper st...In order to solve the problems of insufficient training equipment,relatively lack of curriculum resources and single teaching means in the teaching of UAV(unmanned aerial vehicle)applied technology major,this paper studies the application of MR(Mixed Reality)in UAV applied technology major teaching,with the teaching of UAV agriculture&forestry plant protection curriculum as the carrier.The study will solve the pain points in teaching,improve the teaching ability and teaching information level,and increase the talent training quality of UAV,agriculture&forestry plant protection and related majors.Furthermore,it will create a protective,interactive,remote and scalable teaching experience for stu-dents,which can improve the teaching effect and reduce the teaching cost.展开更多
针对无人机因目标较小而难以检测、检测速度慢、难于跟踪等问题,提出一种基于目标检测YOLOv5s算法和目标跟踪DeepSORT算法的无人机检测跟踪方法;采用自采数据集和公开数据集构建无人机检测数据集,使用针对小目标的数据增强方法以扩充数...针对无人机因目标较小而难以检测、检测速度慢、难于跟踪等问题,提出一种基于目标检测YOLOv5s算法和目标跟踪DeepSORT算法的无人机检测跟踪方法;采用自采数据集和公开数据集构建无人机检测数据集,使用针对小目标的数据增强方法以扩充数据集多样性;选择合适的YOLOv5算法模型实现无人机目标的精准、快速检测,引入基于批标准化层的模型剪枝方法进一步提高模型检测速度;利用DeepSORT算法实现无人机目标的实时追踪;通过对比YOLOv3、 YOLOv4、 Fast R-CNN以及改进前的YOLOv5算法,验证了本文方法在无人机检测方面的性能。结果表明:提出的无人机检测跟踪方法的全类平均精度达到0.947,每秒浮点运算次数达到2.93×10~9,在无人机检测的精度和速度方面均具有优势。展开更多
基金Sanming Project of Medicine in Shenzhen(No.SZSM201911007)Shenzhen Stability Support Plan(20200824145152001)。
文摘BACKGROUND:Rapid on-site triage is critical after mass-casualty incidents(MCIs)and other mass injury events.Unmanned aerial vehicles(UAVs)have been used in MCIs to search and rescue wounded individuals,but they mainly depend on the UAV operator’s experience.We used UAVs and artificial intelligence(AI)to provide a new technique for the triage of MCIs and more efficient solutions for emergency rescue.METHODS:This was a preliminary experimental study.We developed an intelligent triage system based on two AI algorithms,namely OpenPose and YOLO.Volunteers were recruited to simulate the MCI scene and triage,combined with UAV and Fifth Generation(5G)Mobile Communication Technology real-time transmission technique,to achieve triage in the simulated MCI scene.RESULTS:Seven postures were designed and recognized to achieve brief but meaningful triage in MCIs.Eight volunteers participated in the MCI simulation scenario.The results of simulation scenarios showed that the proposed method was feasible in tasks of triage for MCIs.CONCLUSION:The proposed technique may provide an alternative technique for the triage of MCIs and is an innovative method in emergency rescue.
基金Supported by the China Agriculture Research System(CARS-170303)the Special Fund for the Construction of Modern Agricultural Technology System in Yunnan Province+1 种基金the Training Project of Yunling Industry and Technology Leading Talents(2018LJRC56)the Project for the Cooperation between Scientific Research Institutes and Enterprises in Nanhua of Lincang(LT11-12E120810-002<12-13E130328-041)
文摘This research was aimed at the defects in traditional artificial spraying control method and the problems such as the difficulty in pesticides applying,labor shortage and low operating efficiency in the middle and late stage of sugarcane high stalk crops.The aerial pesticide application technology for sugarcane main diseases and pests was systematically developed and demonstrated from the aspects of aircraft type choice,selection of special pesticides and auxiliaries,integration of pesticides and equipment,field operation,technical specifications,and large-scale application organization mode.The UAV model and flight technical parameters suitable for the sugarcane planting area in low-latitude plateau were analyzed,and the optimal agent formulation combination and application technology of the UAV flight control were screened out,and the UAV flight control was applied to the major sugarcane pests and diseases control in the low-latitude plateau in large scale(UAV flight control was popularized and applied to 15 527 hm 2 in 2018).The research results provided mature whole-process technical support for the normalization of the application of the UVA flight control of major sugarcane pests and diseases.The UAV control technology for major sugarcane pests and diseases had the advantages of ultra-low pesticides applying dosage and high operating efficiency,and could effectively solve the problems such as the difficulty in pesticides applying,labor shortage and low operating efficiency in the middle late growth stage of high stalk crops.This technology successfully opened up a simple,efficient and new way for the effective control of major sugarcane pests and diseases,and practically accelerated the process of integrated control and prevention of sugarcane pests and diseases.In addition,this technology had an extremely significant effect on reducing the loss of sugarcane farmers and enterprises caused by the epidemic and outbreak of sugarcane pests and diseases,increasing sugarcane yield and sugar content.At the same time,this technology played an important role in realizing the whole-process precise control of sugarcane pests and diseases,improving the quality and increasing the efficiency of sugarcane,and guaranteeing the national sugar safety.
文摘Taking the opportunity of the third monitoring of rocky desertification in the karst area of China,Zigui County of Hubei Province applied Unmanned Aerial Vehicle( UAV) for the first time for monitoring. Through repeated trials and studies,it established technical requirements including the UAV monitoring technology for the rocky desertification,the feature point photographing,UAV video judgment of rocky desertification degree,UAV video correction misclassification subcompartment,and UAV video observation of rocky desertification control. It completed the third rocky desertification monitoring task of karst area in Zigui County.
基金Supported by the Special Fund for the Cultivation of Outstanding Young Scientific and Technological Talents(2015-2018)~~
文摘Unmanned aerial vehicle technology was used to survey the vegetation coverage of typical urban-rural fringe, and descriptive statistics and geostatistical methods were used to analyze the urban-rural fringe of spatial heterogeneity of vegetation coverage. The results showed that vegetation coverage in the study area was 27.2176% with the coefficient of variation of 31.7786%; that the vegetation coverage in separation distance of 〈0.18' showed positive spatial correlation, and the spatial correlation of vegetation coverage in separation distance of 〈0.18' was greater than that in 〉0.18'; that the best fitting model for Semivariance function was exponential model with spatial variation ratio 0.726, which showed strong spatial correlation, and the spatial correlated scale was 0.18'; that the vegetation coverage data in the study area was relatively stable, and the instability mainly occurred on the border of the study area and the surroundings.
基金Supported by Vocational Education Reform and Innovation Project of Ministry of Education(HBKC217166,HBKC217168)Teaching Reform Project of Agricultural Specialty Teaching Steering Committee of Higher Vocational Education in Guangdong Province(YNYJZW2019YB09)+1 种基金Special Higher Vocational Enrollment Expansion Project of Teaching Reform Research and Practice Pro-ject in Guangdong Province(JGGZKZ2020141)Special Fund for Rural Revitalization Strategy of Huizhou in 2021(2021SC010502002)
文摘In order to solve the problems of insufficient training equipment,relatively lack of curriculum resources and single teaching means in the teaching of UAV(unmanned aerial vehicle)applied technology major,this paper studies the application of MR(Mixed Reality)in UAV applied technology major teaching,with the teaching of UAV agriculture&forestry plant protection curriculum as the carrier.The study will solve the pain points in teaching,improve the teaching ability and teaching information level,and increase the talent training quality of UAV,agriculture&forestry plant protection and related majors.Furthermore,it will create a protective,interactive,remote and scalable teaching experience for stu-dents,which can improve the teaching effect and reduce the teaching cost.
基金This work was supported by the National Defense Outstanding Youth Science Foundation(No.2018-JCJQ-ZQ-053)the National Natural Science Foundation of China(No.52275114)+1 种基金the China Postdoctoral Science Foundation Funded Project(No.2019M651827)the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘针对无人机因目标较小而难以检测、检测速度慢、难于跟踪等问题,提出一种基于目标检测YOLOv5s算法和目标跟踪DeepSORT算法的无人机检测跟踪方法;采用自采数据集和公开数据集构建无人机检测数据集,使用针对小目标的数据增强方法以扩充数据集多样性;选择合适的YOLOv5算法模型实现无人机目标的精准、快速检测,引入基于批标准化层的模型剪枝方法进一步提高模型检测速度;利用DeepSORT算法实现无人机目标的实时追踪;通过对比YOLOv3、 YOLOv4、 Fast R-CNN以及改进前的YOLOv5算法,验证了本文方法在无人机检测方面的性能。结果表明:提出的无人机检测跟踪方法的全类平均精度达到0.947,每秒浮点运算次数达到2.93×10~9,在无人机检测的精度和速度方面均具有优势。