In view of the problems in operation process of fixed rake-type residual recycling component,such as poor individual profiling effect in film picking,easy clogging of the compound of films,soil and corn stubbles,high ...In view of the problems in operation process of fixed rake-type residual recycling component,such as poor individual profiling effect in film picking,easy clogging of the compound of films,soil and corn stubbles,high power consumption in film picking,and strong disturbance to seedbed soil,in this study,an operation model of intermittent filmpicking on full-film mulched double ditches was proposed and an intermittent film picking component was designed.The DEMMBD coupled algorithm was adopted for numerical simulation on the operation process of the intermittent film-picking component on full-film mulched double ditches,and a comparative analysis was carried out on the seedbed disturbance effect and resistance variation characteristics in film-picking by fixed and intermittent film-picking components.By taking the forward speed in film-picking,cam arrangement angle of the film-picking component and rotating speed of the cam shaft as independent variables,film-picking rate as the response value,a mathematical model between test factors and the film-picking rate was established,to explore the influence order of the factors on film-picking rate,and the optimal working parameters of the intermittent film-picking component were obtained as follows:the forward speed in film-picking was 2 km/h,cam arrangement angle was 180°,rotating speed of the cam shaft was 120 r/min.Under the optimal parameter combination,the average film-picking rate of the simulation test was 96.1%.Field test showed that,the average film-picking rate of the intermittent film-picking component was 95.6%,and 0.5%higher than that of the simulation test.The working condition of the sample machine was basically consistent with the simulation process,and can accurately represent the operation mechanism of intermittent film-picking on full-film mulched double ditches,showing that the established discrete element simulation model and its parameters were accurate and reasonable.展开更多
In order to further improve the working performance and efficiency of mechanized tillage operation of a full-film double-ditch seedbed,under the working conditions of different parameters of the spiral push-type soil ...In order to further improve the working performance and efficiency of mechanized tillage operation of a full-film double-ditch seedbed,under the working conditions of different parameters of the spiral push-type soil covering device with double-width filming,the dynamic soil covering characteristics and soil covering uniformity of the device were analyzed,the collaborative and interactive coupling mechanism of the horizontal pushing process of the mulching soil and horizontally two-way spiral soil transmission device were revealed,and the main reasons for the influence of different soil covering belts on the change of soil particle number distribution were analyzed.Based on the full-film double-ditch mode with double-width filming,the mechanized soil covering path was optimized.In order to further reduce the disturbance on mulching soil by two-way spiral pushing,a kind of parallel shunt type soil covering device with double-width filming was designed,then a discrete element method was adopted to make simulation analysis and optimize the parallel shunt type soil covering device with double-width filming.Field verification tests showed that after the operation of the full-film double-ditch combined machine with double-width filming and soil covering installed with the parallel shunt type soil covering device,the qualified rate of the film edge soil covering width was 96.1%,an increase of 1.6%compared to that before optimization;the qualified rate of soil covering width at the center of the big ridge was 93.5%,an increase of 1.9%compared to that before optimization;the qualified rate of the soil covering thickness was 97.7%,an increase of 0.2%compared to that before optimization.The test indicators reached the requirements of relevant national and industrial standards,showing that the test results met the design requirements,and the working conditions of verification tests were consistent with the simulation results.展开更多
This study aimed to investigate the task demand of intelligent unmanned fertilizer application in seedling stage of corn planted in full-film double-ditch seedbed,a film identification method based on improved DeepLab...This study aimed to investigate the task demand of intelligent unmanned fertilizer application in seedling stage of corn planted in full-film double-ditch seedbed,a film identification method based on improved DeepLabv3+ identification method for full-film double-ditch corn seedbed was proposed.The differences in performance indicators of the original Deeplabv3+ network taking Xception as the backbone network and the network model that replaced three lightweight backbone networks,MobileNetV2,MobileNetV3 and GhostNet were tested.At the same time,the network models,classical semantic segmentation was introduced to PSPNet and UNet for comparative test.The MIoU of DeepLabv3+ network model that replaced its backbone network increased by 5.01%,and FPS improved by 206%compared with original network,and the model size reduced by 90.3%.The three DeepLabv3+ models after replacing the backbone network were further compressed,and the two-layer expansion convolution with low expansion rate in ASPP was deleted,and the common convolution after feature fusion was replaced by the depthwise separable convolution to obtain a lightweight network model.After testing the improved network model,it was found that the average decline of precision indicators was only 0.17%,FPS raised to 66.5,with an average increase of 25.5%,and the size of the model was compressed to 10.53 MB.Test results showed that,the improved model showed excellent performance,and could provide important technology and method support for the research and development of intelligent topdressing and field management on full-film double-ditch corn seedbed during seedling stage.展开更多
基金the National Natural Science Foundation of China(Grant No.52065005)Outstanding Youth Foundation of Gansu Province(Grant No.20JR10RA560)Longyuan Youth Innovation and Entrepreneurship Talent Project in Gansu Province(Grant No.2022LQGR79).
文摘In view of the problems in operation process of fixed rake-type residual recycling component,such as poor individual profiling effect in film picking,easy clogging of the compound of films,soil and corn stubbles,high power consumption in film picking,and strong disturbance to seedbed soil,in this study,an operation model of intermittent filmpicking on full-film mulched double ditches was proposed and an intermittent film picking component was designed.The DEMMBD coupled algorithm was adopted for numerical simulation on the operation process of the intermittent film-picking component on full-film mulched double ditches,and a comparative analysis was carried out on the seedbed disturbance effect and resistance variation characteristics in film-picking by fixed and intermittent film-picking components.By taking the forward speed in film-picking,cam arrangement angle of the film-picking component and rotating speed of the cam shaft as independent variables,film-picking rate as the response value,a mathematical model between test factors and the film-picking rate was established,to explore the influence order of the factors on film-picking rate,and the optimal working parameters of the intermittent film-picking component were obtained as follows:the forward speed in film-picking was 2 km/h,cam arrangement angle was 180°,rotating speed of the cam shaft was 120 r/min.Under the optimal parameter combination,the average film-picking rate of the simulation test was 96.1%.Field test showed that,the average film-picking rate of the intermittent film-picking component was 95.6%,and 0.5%higher than that of the simulation test.The working condition of the sample machine was basically consistent with the simulation process,and can accurately represent the operation mechanism of intermittent film-picking on full-film mulched double ditches,showing that the established discrete element simulation model and its parameters were accurate and reasonable.
基金the National Natural Science Foundation of China(Grant No.52065005,No.51775115)Outstanding Youth Foundation of Gansu Province(Grant No.20JR10RA560)+1 种基金Natural Science Foundation of Gansu Province(Grant No.20JR5RA029)Research Program Sponsored by Gansu Provincial Key Laboratory of Aridland Crop Science,Gansu Agricultural University(Grant No.GSCS-2020-01).
文摘In order to further improve the working performance and efficiency of mechanized tillage operation of a full-film double-ditch seedbed,under the working conditions of different parameters of the spiral push-type soil covering device with double-width filming,the dynamic soil covering characteristics and soil covering uniformity of the device were analyzed,the collaborative and interactive coupling mechanism of the horizontal pushing process of the mulching soil and horizontally two-way spiral soil transmission device were revealed,and the main reasons for the influence of different soil covering belts on the change of soil particle number distribution were analyzed.Based on the full-film double-ditch mode with double-width filming,the mechanized soil covering path was optimized.In order to further reduce the disturbance on mulching soil by two-way spiral pushing,a kind of parallel shunt type soil covering device with double-width filming was designed,then a discrete element method was adopted to make simulation analysis and optimize the parallel shunt type soil covering device with double-width filming.Field verification tests showed that after the operation of the full-film double-ditch combined machine with double-width filming and soil covering installed with the parallel shunt type soil covering device,the qualified rate of the film edge soil covering width was 96.1%,an increase of 1.6%compared to that before optimization;the qualified rate of soil covering width at the center of the big ridge was 93.5%,an increase of 1.9%compared to that before optimization;the qualified rate of the soil covering thickness was 97.7%,an increase of 0.2%compared to that before optimization.The test indicators reached the requirements of relevant national and industrial standards,showing that the test results met the design requirements,and the working conditions of verification tests were consistent with the simulation results.
基金supported by the National Natural Science Foundation of China(Grant No.5206500552365029)Outstanding Youth Foundation of Gansu Province(Grant No.20JR10RA560),China Postdoctoral Science Foundation(Grant No.2021M700741).
文摘This study aimed to investigate the task demand of intelligent unmanned fertilizer application in seedling stage of corn planted in full-film double-ditch seedbed,a film identification method based on improved DeepLabv3+ identification method for full-film double-ditch corn seedbed was proposed.The differences in performance indicators of the original Deeplabv3+ network taking Xception as the backbone network and the network model that replaced three lightweight backbone networks,MobileNetV2,MobileNetV3 and GhostNet were tested.At the same time,the network models,classical semantic segmentation was introduced to PSPNet and UNet for comparative test.The MIoU of DeepLabv3+ network model that replaced its backbone network increased by 5.01%,and FPS improved by 206%compared with original network,and the model size reduced by 90.3%.The three DeepLabv3+ models after replacing the backbone network were further compressed,and the two-layer expansion convolution with low expansion rate in ASPP was deleted,and the common convolution after feature fusion was replaced by the depthwise separable convolution to obtain a lightweight network model.After testing the improved network model,it was found that the average decline of precision indicators was only 0.17%,FPS raised to 66.5,with an average increase of 25.5%,and the size of the model was compressed to 10.53 MB.Test results showed that,the improved model showed excellent performance,and could provide important technology and method support for the research and development of intelligent topdressing and field management on full-film double-ditch corn seedbed during seedling stage.