The conventional honey production is dominated by fragmented,small-scale individual farming models.The traditional approach of honey-harvesting involving manual beehive frames extraction,beeswax layer excision and cen...The conventional honey production is dominated by fragmented,small-scale individual farming models.The traditional approach of honey-harvesting involving manual beehive frames extraction,beeswax layer excision and centrifugal honey separation,expose beekeepers to potential bee stings and frequently compromise honeycomb integrity.To address these limitations,we designed an automated honey-harvesting robot capable of autonomous frame extraction and beeswax removal.The robot mainly consists of a mobile mechanism equipped with image recognition for beehive localization,a magnetic adsorption-based beehive frame handling device(60.8 N maximum suction)coupled with a cross-slide mechanism for precise frame manipulation,and a thermal beeswax layer-melting apparatus,with optimal melting parameters(15 m/s airflow at 90℃ for 30 seconds)determined through rigorous thermal flow simulations utilizing FLUENT/Mechanical software.Field experiments demonstrated beehive frames handling success rate exceeding 85%,beeswax layer removal efficacy over 80% and damage of honeycombs below 30%.The experiment results validate the robot's operational reliability and its capacity to automate critical harvesting procedures.This study significantly reduces the labor intensity for beekeepers,effectively eliminates the risk of direct human-bee contact and improves the removal of beeswax layer,thereby catalyzing the modernization of the beekeeping industry.展开更多
为弥补现有开采沉陷预测程序在可视化表达中的缺陷,采用VB和SURFER的Active X Automation技术开发了基于概率积分法的开采沉陷预测分析系统。通过VB语言操纵SURFER内核程序实现开采沉陷的各种移动变形等值线、三维表面图及剖面图制作和...为弥补现有开采沉陷预测程序在可视化表达中的缺陷,采用VB和SURFER的Active X Automation技术开发了基于概率积分法的开采沉陷预测分析系统。通过VB语言操纵SURFER内核程序实现开采沉陷的各种移动变形等值线、三维表面图及剖面图制作和数据分析的自动化。以山东某煤矿多工作面、多煤层开采沉陷预计对所建立分析系统进行验证。结果表明,采用VB与SURFER结合用于开采沉陷的预测分析,能够满足工程需要,并且能极大地提高工作效率,减少程序开发的工作量,实现开采沉陷预测分析图件制作的专业化、自动化。展开更多
基金National Natural Science Foundation of China(31700644)Shandong Province Postdoctoral Innovation Project(SDCX-ZG-202400195)。
文摘The conventional honey production is dominated by fragmented,small-scale individual farming models.The traditional approach of honey-harvesting involving manual beehive frames extraction,beeswax layer excision and centrifugal honey separation,expose beekeepers to potential bee stings and frequently compromise honeycomb integrity.To address these limitations,we designed an automated honey-harvesting robot capable of autonomous frame extraction and beeswax removal.The robot mainly consists of a mobile mechanism equipped with image recognition for beehive localization,a magnetic adsorption-based beehive frame handling device(60.8 N maximum suction)coupled with a cross-slide mechanism for precise frame manipulation,and a thermal beeswax layer-melting apparatus,with optimal melting parameters(15 m/s airflow at 90℃ for 30 seconds)determined through rigorous thermal flow simulations utilizing FLUENT/Mechanical software.Field experiments demonstrated beehive frames handling success rate exceeding 85%,beeswax layer removal efficacy over 80% and damage of honeycombs below 30%.The experiment results validate the robot's operational reliability and its capacity to automate critical harvesting procedures.This study significantly reduces the labor intensity for beekeepers,effectively eliminates the risk of direct human-bee contact and improves the removal of beeswax layer,thereby catalyzing the modernization of the beekeeping industry.
文摘为弥补现有开采沉陷预测程序在可视化表达中的缺陷,采用VB和SURFER的Active X Automation技术开发了基于概率积分法的开采沉陷预测分析系统。通过VB语言操纵SURFER内核程序实现开采沉陷的各种移动变形等值线、三维表面图及剖面图制作和数据分析的自动化。以山东某煤矿多工作面、多煤层开采沉陷预计对所建立分析系统进行验证。结果表明,采用VB与SURFER结合用于开采沉陷的预测分析,能够满足工程需要,并且能极大地提高工作效率,减少程序开发的工作量,实现开采沉陷预测分析图件制作的专业化、自动化。
