登陆点评估是海上抢险救援、灾害应急响应和物资投送等行动的关键环节,受海岸线地形、底质、地理和地质环境等多重因素的综合影响。现有的评估方法通常依赖于有限的影响因素(如海岸线地形、底质、植被覆盖)以及定性的人工规则方法,存在...登陆点评估是海上抢险救援、灾害应急响应和物资投送等行动的关键环节,受海岸线地形、底质、地理和地质环境等多重因素的综合影响。现有的评估方法通常依赖于有限的影响因素(如海岸线地形、底质、植被覆盖)以及定性的人工规则方法,存在少因子、多经验的问题,无法满足快速、安全、灵活和低成本的登陆需求。针对上述问题,笔者等提出了一种综合考虑水文、海岸带地理和地质属性的熵权优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)模型评估海岸线登陆点。首先,建立了登陆点评估指标体系,涵盖海上因素、交通因素、地理因素和地质要素四类一级指标及其细化的二级指标;然后,通过熵权法为各指标因素赋予权重,并建立TOPSIS模型计算各登陆点的相对贴近度,评估登陆适宜性;最后,结合常规登陆艇对登陆面宽度要求,对评估结果进行滤波处理,生成最终的登陆点评估图。选择某海岸线作为典型案例进行分析,结果表明:交通因素和地质因素是影响登陆点评估的重要指标,而以往的研究中尚未考虑。熵权TOPSIS模型在某海岸线识别出6处具备安全、灵活、经济的登陆点。展开更多
针对构网型储能(grid-forming energy storage,GFES)市场的快速发展和产品质量的不均衡性,提出了一种基于熵权-TOPSIS(technique for order preference by similarity to an ideal solution)模型的GFES系统性能评估方法,设计并开发了融...针对构网型储能(grid-forming energy storage,GFES)市场的快速发展和产品质量的不均衡性,提出了一种基于熵权-TOPSIS(technique for order preference by similarity to an ideal solution)模型的GFES系统性能评估方法,设计并开发了融合产品性能测试与多维度评价的GFES评估系统平台。首先,选取惯量支撑、一次调频、低电压穿越和能量转换4项关键性指标作为GFES性能评估体系,并给出了相应的测试方法和量化指标。然后,详细介绍了测试评估系统的硬件环境和软件平台,通过简化传统的人工测试方法提高检测效率。最后,利用GFES的实测波形作为样本数据对评估系统平台进行实验验证,并通过对不同类型和功率等级的GFES进行量化对比分析,证明了评估系统检测的准确性和评价体系模型的有效性,为推动GFES技术的应用和发展提供了有力的支撑。展开更多
Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extens...Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extensive attention due to their advantages of small size,high multiplexing efficiency,convenient mass production,and low cost.An RGB beam combiner based on directional couplers is designed,with a core-cladding relative refractive index difference of 0.75%.The RGB beam combiner is optimized from the perspective of parameter optimization.Using the beam propagation method(BPM),the relationship between the performance of the RGB beam combiner and individual parameters is studied,achieving preliminary optimization of the device’s performance.The key parameters of the RGB beam combiner are optimized using the entropy weight-technique for order preference by similarity to an ideal solution TOPSIS method,establishing the optimal parameter scheme and further improving the device’s performance indicators.The results show that after optimization,the multiplexing efficiencies for red,green,and blue lights,as well as the average multiplexing efficiency,reached 99.17%,99.76%,96.63%and 98.52%,respectively.The size of the RGB beam combiner is 4.768 mm×0.062 mm.展开更多
文摘登陆点评估是海上抢险救援、灾害应急响应和物资投送等行动的关键环节,受海岸线地形、底质、地理和地质环境等多重因素的综合影响。现有的评估方法通常依赖于有限的影响因素(如海岸线地形、底质、植被覆盖)以及定性的人工规则方法,存在少因子、多经验的问题,无法满足快速、安全、灵活和低成本的登陆需求。针对上述问题,笔者等提出了一种综合考虑水文、海岸带地理和地质属性的熵权优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)模型评估海岸线登陆点。首先,建立了登陆点评估指标体系,涵盖海上因素、交通因素、地理因素和地质要素四类一级指标及其细化的二级指标;然后,通过熵权法为各指标因素赋予权重,并建立TOPSIS模型计算各登陆点的相对贴近度,评估登陆适宜性;最后,结合常规登陆艇对登陆面宽度要求,对评估结果进行滤波处理,生成最终的登陆点评估图。选择某海岸线作为典型案例进行分析,结果表明:交通因素和地质因素是影响登陆点评估的重要指标,而以往的研究中尚未考虑。熵权TOPSIS模型在某海岸线识别出6处具备安全、灵活、经济的登陆点。
文摘针对构网型储能(grid-forming energy storage,GFES)市场的快速发展和产品质量的不均衡性,提出了一种基于熵权-TOPSIS(technique for order preference by similarity to an ideal solution)模型的GFES系统性能评估方法,设计并开发了融合产品性能测试与多维度评价的GFES评估系统平台。首先,选取惯量支撑、一次调频、低电压穿越和能量转换4项关键性指标作为GFES性能评估体系,并给出了相应的测试方法和量化指标。然后,详细介绍了测试评估系统的硬件环境和软件平台,通过简化传统的人工测试方法提高检测效率。最后,利用GFES的实测波形作为样本数据对评估系统平台进行实验验证,并通过对不同类型和功率等级的GFES进行量化对比分析,证明了评估系统检测的准确性和评价体系模型的有效性,为推动GFES技术的应用和发展提供了有力的支撑。
基金Project(52175445)supported by the National Natural Science Foundation of ChinaProject(2022JJ30743)supported by the Natural Science Foundation of Hunan Province,China+1 种基金Project(2023GK2024)supported by the Key Research and Development Program of Hunan Province,ChinaProject(2023ZZTS0391)supported by the Fundamental Research Funds for the Central Universities of China。
文摘Red-green-blue(RGB)beam combiners are widely used in scenarios such as augmented reality/virtual reality(AR/VR),laser projection,biochemical detection,and other fields.Optical waveguide combiners have attracted extensive attention due to their advantages of small size,high multiplexing efficiency,convenient mass production,and low cost.An RGB beam combiner based on directional couplers is designed,with a core-cladding relative refractive index difference of 0.75%.The RGB beam combiner is optimized from the perspective of parameter optimization.Using the beam propagation method(BPM),the relationship between the performance of the RGB beam combiner and individual parameters is studied,achieving preliminary optimization of the device’s performance.The key parameters of the RGB beam combiner are optimized using the entropy weight-technique for order preference by similarity to an ideal solution TOPSIS method,establishing the optimal parameter scheme and further improving the device’s performance indicators.The results show that after optimization,the multiplexing efficiencies for red,green,and blue lights,as well as the average multiplexing efficiency,reached 99.17%,99.76%,96.63%and 98.52%,respectively.The size of the RGB beam combiner is 4.768 mm×0.062 mm.
