In this paper, a new type of water floater fishing machine is designed, including the hull, collecting device, fishing device and other structural design. It can complete deal with the water floater fishing and compre...In this paper, a new type of water floater fishing machine is designed, including the hull, collecting device, fishing device and other structural design. It can complete deal with the water floater fishing and compression. It has the characteristics of easy operation and strong mobility, and has a wide range of application value.展开更多
Addressing the challenges in detecting surface floating litter in artificial lakes,including complex environments,uneven illumination,and susceptibility to noise andweather,this paper proposes an efficient and lightwe...Addressing the challenges in detecting surface floating litter in artificial lakes,including complex environments,uneven illumination,and susceptibility to noise andweather,this paper proposes an efficient and lightweight Ghost-YOLO(You Only Look Once)v8 algorithm.The algorithmintegrates advanced attention mechanisms and a smalltarget detection head to significantly enhance detection performance and efficiency.Firstly,an SE(Squeeze-and-Excitation)mechanism is incorporated into the backbone network to fortify the extraction of resilient features and precise target localization.This mechanism models feature channel dependencies,enabling adaptive adjustment of channel importance,thereby improving recognition of floating litter targets.Secondly,a 160×160 small-target detection layer is designed in the feature fusion neck to mitigate semantic information loss due to varying target scales.This design enhances the fusion of deep and shallow semantic information,improving small target feature representation and enabling better capture and identification of tiny floating litter.Thirdly,to balance performance and efficiency,the GhostConv module replaces part of the conventional convolutions in the feature fusion neck.Additionally,a novel C2fGhost(CSPDarknet53 to 2-Stage Feature Pyramid Networks Ghost)module is introduced to further reduce network parameters.Lastly,to address the challenge of occlusion,a newloss function,WIoU(Wise Intersection over Union)v3 incorporating a flexible and non-monotonic concentration approach,is adopted to improve detection rates for surface floating litter.The outcomes of the experiments demonstrate that the Ghost-YOLO v8 model proposed in this paper performs well in the dataset Marine,significantly enhances precision and recall by 3.3 and 7.6 percentage points,respectively,in contrast with the base model,mAP@0.5 and mAP 0.5:0.95 improve by 5.3 and 4.4 percentage points and reduces the computational volume by 1.88MB,the FPS value hardly decreases,and the efficient real-time identification of floating debris on the water’s surface can be achieved costeffectively.展开更多
Based on the concept of fishery-solar complementary systems,floating photovoltaic(PV)power stations have garnered significant attention in the power industry due to their minimal land use,high power generation efficie...Based on the concept of fishery-solar complementary systems,floating photovoltaic(PV)power stations have garnered significant attention in the power industry due to their minimal land use,high power generation efficiency,and improved water quality.However,irregular water level changes and surface disturbances caused by wind or human activities increase the difficulty of maintaining long-term stable operation.This paper,relying on a specific project,thoroughly analyzes and designs the technical scheme for a 35kV floating PV power station.It delves into the design of the floating island platform,anchoring system,shock absorption between the island and equipment,and the overall layout of the power station.These findings provide valuable references for the design,manufacturing,construction,and operation of other floating PV power stations.展开更多
文摘In this paper, a new type of water floater fishing machine is designed, including the hull, collecting device, fishing device and other structural design. It can complete deal with the water floater fishing and compression. It has the characteristics of easy operation and strong mobility, and has a wide range of application value.
基金Supported by the fund of the Henan Province Science and Technology Research Project(No.242102210213).
文摘Addressing the challenges in detecting surface floating litter in artificial lakes,including complex environments,uneven illumination,and susceptibility to noise andweather,this paper proposes an efficient and lightweight Ghost-YOLO(You Only Look Once)v8 algorithm.The algorithmintegrates advanced attention mechanisms and a smalltarget detection head to significantly enhance detection performance and efficiency.Firstly,an SE(Squeeze-and-Excitation)mechanism is incorporated into the backbone network to fortify the extraction of resilient features and precise target localization.This mechanism models feature channel dependencies,enabling adaptive adjustment of channel importance,thereby improving recognition of floating litter targets.Secondly,a 160×160 small-target detection layer is designed in the feature fusion neck to mitigate semantic information loss due to varying target scales.This design enhances the fusion of deep and shallow semantic information,improving small target feature representation and enabling better capture and identification of tiny floating litter.Thirdly,to balance performance and efficiency,the GhostConv module replaces part of the conventional convolutions in the feature fusion neck.Additionally,a novel C2fGhost(CSPDarknet53 to 2-Stage Feature Pyramid Networks Ghost)module is introduced to further reduce network parameters.Lastly,to address the challenge of occlusion,a newloss function,WIoU(Wise Intersection over Union)v3 incorporating a flexible and non-monotonic concentration approach,is adopted to improve detection rates for surface floating litter.The outcomes of the experiments demonstrate that the Ghost-YOLO v8 model proposed in this paper performs well in the dataset Marine,significantly enhances precision and recall by 3.3 and 7.6 percentage points,respectively,in contrast with the base model,mAP@0.5 and mAP 0.5:0.95 improve by 5.3 and 4.4 percentage points and reduces the computational volume by 1.88MB,the FPS value hardly decreases,and the efficient real-time identification of floating debris on the water’s surface can be achieved costeffectively.
文摘Based on the concept of fishery-solar complementary systems,floating photovoltaic(PV)power stations have garnered significant attention in the power industry due to their minimal land use,high power generation efficiency,and improved water quality.However,irregular water level changes and surface disturbances caused by wind or human activities increase the difficulty of maintaining long-term stable operation.This paper,relying on a specific project,thoroughly analyzes and designs the technical scheme for a 35kV floating PV power station.It delves into the design of the floating island platform,anchoring system,shock absorption between the island and equipment,and the overall layout of the power station.These findings provide valuable references for the design,manufacturing,construction,and operation of other floating PV power stations.
