This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapi...This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results.展开更多
考虑到当前梯级水库蓄水调度研究尚未开展碳减排调度,基于碳排放因子法提出了梯级水库蓄水期水碳多目标调度模型,制定了梯级水库提前蓄水策略,并以防洪风险最小化、发电量最大化和温室气体排放量最小化为调度目标,采用NSGA-II求解调度...考虑到当前梯级水库蓄水调度研究尚未开展碳减排调度,基于碳排放因子法提出了梯级水库蓄水期水碳多目标调度模型,制定了梯级水库提前蓄水策略,并以防洪风险最小化、发电量最大化和温室气体排放量最小化为调度目标,采用NSGA-II求解调度模型推求了梯级水库蓄水期优化调度方案,在金沙江中下游6座水库与三峡水库组成的梯级水库开展了实例研究。结果表明:相较于现行调度方案,优化调度方案集在防洪库容占用率为0~4.92%的情况下,发电量提升了7.23~40.26亿kW·h/a(0.65%~3.60%),弃水量减少了15.82~55.03亿m^(3)/a(6.45%~22.43%),温室气体排放量降低了38.55~45.63 Gg CO_(2e)/a(8.33%~9.85%),碳排放强度降低了0.39~0.47 kg CO_(2e)/(MW·h)(9.49%~11.44%),显著提升了梯级水库的发电量、抗旱供水能力并减少了温室气体排放。研究成果为实现梯级水库蓄水期水碳协同调度提供了技术支撑。展开更多
目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identificati...目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identification,RFID)分析设计服装生产-分拣-传输-包装的系统化流程。重点针对RFID在复杂工业环境中的多标签冲突、读取误差与路径追踪等问题,提出了包含动态帧调整、防碰撞优化、RSSI信号建模、轨迹识别与贝叶斯补偿等在内的算法优化策略,并构建与调度系统的协同控制机制。结果智能分拣传送系统解决了原本分拣包装周期长、效率低下、分拣混淆等问题,建立了完整的上架-入库-出库-包装智能分拣流程。结论本文对服装产业的智能系统分拣进行了研究分析,探究了智能分拣系统的关键技术和应用现状及发展趋势,并通过挂钩式分拣系统与RFID技术对生产效率的改善作用进行分析,为服装企业引入智能分拣系统提供理论分析和技术支持。展开更多
基金the National Natural Science Foundation of China(Grant No.42274119)the Liaoning Revitalization Talents Program(Grant No.XLYC2002082)+1 种基金National Key Research and Development Plan Key Special Projects of Science and Technology Military Civil Integration(Grant No.2022YFF1400500)the Key Project of Science and Technology Commission of the Central Military Commission.
文摘This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results.
文摘考虑到当前梯级水库蓄水调度研究尚未开展碳减排调度,基于碳排放因子法提出了梯级水库蓄水期水碳多目标调度模型,制定了梯级水库提前蓄水策略,并以防洪风险最小化、发电量最大化和温室气体排放量最小化为调度目标,采用NSGA-II求解调度模型推求了梯级水库蓄水期优化调度方案,在金沙江中下游6座水库与三峡水库组成的梯级水库开展了实例研究。结果表明:相较于现行调度方案,优化调度方案集在防洪库容占用率为0~4.92%的情况下,发电量提升了7.23~40.26亿kW·h/a(0.65%~3.60%),弃水量减少了15.82~55.03亿m^(3)/a(6.45%~22.43%),温室气体排放量降低了38.55~45.63 Gg CO_(2e)/a(8.33%~9.85%),碳排放强度降低了0.39~0.47 kg CO_(2e)/(MW·h)(9.49%~11.44%),显著提升了梯级水库的发电量、抗旱供水能力并减少了温室气体排放。研究成果为实现梯级水库蓄水期水碳协同调度提供了技术支撑。
文摘目的针对服装工业传统服装人工分拣准确度差、效率低和自动化程度不足等问题对其进行智能化系统化的管理与设计,以提高分拣效率与生产能效。方法结合服装生产流水线,基于挂钩式分拣系统与无线射频识别技术(Radio Frequency Identification,RFID)分析设计服装生产-分拣-传输-包装的系统化流程。重点针对RFID在复杂工业环境中的多标签冲突、读取误差与路径追踪等问题,提出了包含动态帧调整、防碰撞优化、RSSI信号建模、轨迹识别与贝叶斯补偿等在内的算法优化策略,并构建与调度系统的协同控制机制。结果智能分拣传送系统解决了原本分拣包装周期长、效率低下、分拣混淆等问题,建立了完整的上架-入库-出库-包装智能分拣流程。结论本文对服装产业的智能系统分拣进行了研究分析,探究了智能分拣系统的关键技术和应用现状及发展趋势,并通过挂钩式分拣系统与RFID技术对生产效率的改善作用进行分析,为服装企业引入智能分拣系统提供理论分析和技术支持。
